51
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Murata H, Noshita K. Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches. PLANT PHENOMICS (WASHINGTON, D.C.) 2024; 6:0181. [PMID: 38726389 PMCID: PMC11079596 DOI: 10.34133/plantphenomics.0181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 03/29/2024] [Indexed: 05/12/2024]
Abstract
Leaves, crucial for plant physiology, exhibit various morphological traits that meet diverse functional needs. Traditional leaf morphology quantification, largely 2-dimensional (2D), has not fully captured the 3-dimensional (3D) aspects of leaf function. Despite improvements in 3D data acquisition, accurately depicting leaf morphologies, particularly at the edges, is difficult. This study proposes a method for 3D leaf edge reconstruction, combining 2D image segmentation with curve-based 3D reconstruction. Utilizing deep-learning-based instance segmentation for 2D edge detection, structure from motion for estimation of camera positions and orientations, leaf correspondence identification for matching leaves among images, and curve-based 3D reconstruction for estimating 3D curve fragments, the method assembles 3D curve fragments into a leaf edge model through B-spline curve fitting. The method's performances were evaluated on both virtual and actual leaves, and the results indicated that small leaves and high camera noise pose greater challenges to reconstruction. We developed guidelines for setting a reliability threshold for curve fragments, considering factors occlusion, leaf size, the number of images, and camera error; the number of images had a lesser impact on this threshold compared to others. The method was effective for lobed leaves and leaves with fewer than 4 holes. However, challenges still existed when dealing with morphologies exhibiting highly local variations, such as serrations. This nondestructive approach to 3D leaf edge reconstruction marks an advancement in the quantitative analysis of plant morphology. It is a promising way to capture whole-plant architecture by combining 2D and 3D phenotyping approaches adapted to the target anatomical structures.
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Affiliation(s)
- Hidekazu Murata
- Department of Biology,
Kyushu University, Fukuoka, Fukuoka 819–0395, Japan
| | - Koji Noshita
- Department of Biology,
Kyushu University, Fukuoka, Fukuoka 819–0395, Japan
- Plant Frontier Research Center,
Kyushu University, Fukuoka, Fukuoka 819–0395, Japan
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52
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Hu Y, Li X, Wang S, Lv P, Yue P, Chen M, Zuo X. Patterns and driving factors of functional traits of desert species with different elevational distributions in the Tibetan Plateau and adjacent areas. BMC PLANT BIOLOGY 2024; 24:371. [PMID: 38724940 PMCID: PMC11080261 DOI: 10.1186/s12870-024-05080-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024]
Abstract
Variations in functional traits serve as measures of plants' ability to adapt to environment. Exploring the patterns of functional traits of desert plants along elevational gradients is helpful to understand the responses and adaptation strategies of species to changing environments. However, it is unknown whether the relationship between functional traits and elevation is affected by differences in the species' elevational distributions (elevation preference and species' range). Importantly, most researches have concerned with differences in mean trait values and ignored intraspecific trait variation. Here, we measured functional traits of desert plants along a wide elevational gradient in the Tibetan Plateau and adjacent areas and explored functional trait patterns over elevation in species with different elevational distributions. We decomposed trait variation and further investigated characterizations of intraspecific variation. Ultimately, the main drivers of trait variation were identified using redundancy analysis. We found that species' elevational distributions significantly influenced the relationship of functional traits such as plant height, leaf dry matter content, leaf thickness, leaf nitrogen and carbon content with elevation. Species with a lower elevational preference showed greater trait variation than species with a higher elevational preference, suggesting that species that prefer high elevation are more conservative facing environmental changes. We provide evidence that interspecific trait variation in leaf thickness and leaf carbon content decreased with increasing species' range, indicating that increased variations in resistance traits within species make greater responsiveness to environmental changes, enabling species a wider range. Elevation, temperature and precipitation were the main drivers of trait variation in species with a low elevational preference, while the effect of precipitation on trait variation in species with a high elevational preference was not significant. This study sheds new insights on how plants with different elevational distributions regulate their ecological strategies to cope with changing environments.
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Affiliation(s)
- Ya Hu
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China
| | - Xiangyun Li
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China
| | - Shaokun Wang
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China
| | - Peng Lv
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China
| | - Ping Yue
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China
| | - Min Chen
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China
| | - Xiaoan Zuo
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
- Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Lanzhou, 730000, Gansu Province, China.
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53
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Svenning JC, Buitenwerf R, Le Roux E. Trophic rewilding as a restoration approach under emerging novel biosphere conditions. Curr Biol 2024; 34:R435-R451. [PMID: 38714176 DOI: 10.1016/j.cub.2024.02.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
Rewilding is a restoration approach that aims to promote self-regulating complex ecosystems by restoring non-human ecological processes while reducing human control and pressures. Rewilding is forward-looking in that it aims to enhance functionality for biodiversity, accepting and indeed promoting the dynamic nature of ecosystems, rather than fixating on static composition or structure. Rewilding is thus especially relevant in our epoch of increasingly novel biosphere conditions, driven by strong human-induced global change. Here, we explore this hypothesis in the context of trophic rewilding - the restoration of trophic complexity mediated by wild, large-bodied animals, known as 'megafauna'. This focus reflects the strong ecological impacts of large-bodied animals, their widespread loss during the last 50,000 years and their high diversity and ubiquity in the preceding 50 million years. Restoring abundant, diverse, wild-living megafauna is expected to promote vegetation heterogeneity, seed dispersal, nutrient cycling and biotic microhabitats. These are fundamental drivers of biodiversity and ecosystem function and are likely to gain importance for maintaining a biodiverse biosphere under increasingly novel ecological conditions. Non-native megafauna species may contribute to these effects as ecological surrogates of extinct species or by promoting ecological functionality within novel assemblages. Trophic rewilding has strong upscaling potential via population growth and expansion of wild fauna. It is likely to facilitate biotic adaptation to changing climatic conditions and resilience to ecosystem collapse, and to curb some negative impacts of globalization, notably the dominance of invasive alien plants. Finally, we discuss the complexities of realizing the biodiversity benefits that trophic rewilding offers under novel biosphere conditions in a heavily populated world.
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Affiliation(s)
- Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark.
| | - Robert Buitenwerf
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
| | - Elizabeth Le Roux
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark; Department of Zoology and Entomology, Faculty of Natural and Agricultural Sciences, Mammal Research Institute, University of Pretoria, Pretoria 0028, South Africa
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54
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Ramirez JA, Craven D, Herrera D, Posada JM, Reu B, Sierra CA, Hoch G, Handa IT, Messier C. Non-structural carbohydrate concentrations in tree organs vary across biomes and leaf habits, but are independent of the fast-slow plant economic spectrum. FRONTIERS IN PLANT SCIENCE 2024; 15:1375958. [PMID: 38766471 PMCID: PMC11099217 DOI: 10.3389/fpls.2024.1375958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/19/2024] [Indexed: 05/22/2024]
Abstract
Carbohydrate reserves play a vital role in plant survival during periods of negative carbon balance. Under a carbon-limited scenario, we expect a trade-offs between carbon allocation to growth, reserves, and defense. A resulting hypothesis is that carbon allocation to reserves exhibits a coordinated variation with functional traits associated with the 'fast-slow' plant economics spectrum. We tested the relationship between non-structural carbohydrates (NSC) of tree organs and functional traits using 61 angiosperm tree species from temperate and tropical forests with phylogenetic hierarchical Bayesian models. Our results provide evidence that NSC concentrations in stems and branches are decoupled from plant functional traits. while those in roots are weakly coupled with plant functional traits. In contrast, we found that variation between NSC concentrations in leaves and the fast-slow trait spectrum was coordinated, as species with higher leaf NSC had trait values associated with resource conservative species, such as lower SLA, leaf N, and leaf P. We also detected a small effect of leaf habit on the variation of NSC concentrations in branches and roots. Efforts to predict the response of ecosystems to global change will need to integrate a suite of plant traits, such as NSC concentrations in woody organs, that are independent of the 'fast-slow' plant economics spectrum and that capture how species respond to a broad range of global change drivers.
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Affiliation(s)
- Jorge Andres Ramirez
- Facultad de Ciencias Agrarias, Universidad del Cauca, Popayán, Colombia
- Centre d’Étude de la Forêt (CEF), Université du Québec à Montréal, Montréal, QC, Canada
| | - Dylan Craven
- GEMA Center for Genomics, Ecology and Environment, Universidad Mayor, Huechuraba, Santiago, Chile
- Data Observatory Foundation, and Technology Center, Santiago, Chile
| | - David Herrera
- Department of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Juan Manuel Posada
- Department of Biology, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Bjorn Reu
- School of Biology, Universidad Industrial de Santander, Bucaramanga, Colombia
| | | | - Guenter Hoch
- Department of Environmental Sciences – Botany, University of Basel, Basel, Switzerland
| | - Ira Tanya Handa
- Centre d’Étude de la Forêt (CEF), Université du Québec à Montréal, Montréal, QC, Canada
| | - Christian Messier
- Centre d’Étude de la Forêt (CEF), Université du Québec à Montréal, Montréal, QC, Canada
- Institut des Sciences de la Foret Tempérée, Université du Québec en Outaouais, Ripon, QC, Canada
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55
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Beccari E, Capdevila P, Salguero-Gómez R, Carmona CP. Worldwide diversity in mammalian life histories: Environmental realms and evolutionary adaptations. Ecol Lett 2024; 27:e14445. [PMID: 38783648 DOI: 10.1111/ele.14445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 04/02/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
Mammalian life history strategies can be characterised by a few axes of variation, conforming a space where species are positioned based on the life history strategies favoured in the environment they exploit. Yet, we still lack global descriptions of the diversity of realised mammalian life history and how this diversity is shaped by the environment. We used six life history traits to build a life history space covering worldwide mammalian adaptation, and we explored how environmental realms (land, air, water) influence mammalian life history strategies. We demonstrate that realms are tightly linked to distinct life history strategies. Aquatic and aerial species predominantly adhere to slower life history strategies, while terrestrial species exhibit faster life histories. Highly encephalised terrestrial species are a notable exception to these patterns. Furthermore, we show that different mode of life may play a significant role in expanding the set of strategies exploitable in the terrestrial realm. Additionally, species transitioning between terrestrial and aquatic realms, such as seals, exhibit intermediate life history strategies. Our results provide compelling evidence of the link between environmental realms and the life history diversity of mammals, highlighting the importance of differences in mode of life to expand life history diversity.
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Affiliation(s)
- E Beccari
- Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - P Capdevila
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona (UB), Barcelona, Spain
| | - R Salguero-Gómez
- Department of Biology, University of Oxford, Oxford, UK
- Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock, Germany
| | - C P Carmona
- Department of Botany, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
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56
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Gundale MJ, Axelsson EP, Buness V, Callebaut T, DeLuca TH, Hupperts SF, Ibáñez TS, Metcalfe DB, Nilsson MC, Peichl M, Spitzer CM, Stangl ZR, Strengbom J, Sundqvist MK, Wardle DA, Lindahl BD. The biological controls of soil carbon accumulation following wildfire and harvest in boreal forests: A review. GLOBAL CHANGE BIOLOGY 2024; 30:e17276. [PMID: 38683126 DOI: 10.1111/gcb.17276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/29/2024] [Accepted: 03/30/2024] [Indexed: 05/01/2024]
Abstract
Boreal forests are frequently subjected to disturbances, including wildfire and clear-cutting. While these disturbances can cause soil carbon (C) losses, the long-term accumulation dynamics of soil C stocks during subsequent stand development is controlled by biological processes related to the balance of net primary production (NPP) and outputs via heterotrophic respiration and leaching, many of which remain poorly understood. We review the biological processes suggested to influence soil C accumulation in boreal forests. Our review indicates that median C accumulation rates following wildfire and clear-cutting are similar (0.15 and 0.20 Mg ha-1 year-1, respectively), however, variation between studies is extremely high. Further, while many individual studies show linear increases in soil C stocks through time after disturbance, there are indications that C stock recovery is fastest early to mid-succession (e.g. 15-80 years) and then slows as forests mature (e.g. >100 years). We indicate that the rapid build-up of soil C in younger stands appears not only driven by higher plant production, but also by a high rate of mycorrhizal hyphal production, and mycorrhizal suppression of saprotrophs. As stands mature, the balance between reductions in plant and mycorrhizal production, increasing plant litter recalcitrance, and ectomycorrhizal decomposers and saprotrophs have been highlighted as key controls on soil C accumulation rates. While some of these controls appear well understood (e.g. temporal patterns in NPP, changes in aboveground litter quality), many others remain research frontiers. Notably, very little data exists describing and comparing successional patterns of root production, mycorrhizal functional traits, mycorrhizal-saprotroph interactions, or C outputs via heterotrophic respiration and dissolved organic C following different disturbances. We argue that these less frequently described controls require attention, as they will be key not only for understanding ecosystem C balances, but also for representing these dynamics more accurately in soil organic C and Earth system models.
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Affiliation(s)
- Michael J Gundale
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - E Petter Axelsson
- Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Vincent Buness
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Timon Callebaut
- Department of Environmental Science and Ecology, Umeå University, Umeå, Sweden
| | - Thomas H DeLuca
- College of Forestry, Oregon State University, Corvallis, Oregon, USA
| | - Stefan F Hupperts
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Theresa S Ibáñez
- Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Daniel B Metcalfe
- Department of Environmental Science and Ecology, Umeå University, Umeå, Sweden
| | - Marie-Charlotte Nilsson
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Matthias Peichl
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Clydecia M Spitzer
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Zsofia R Stangl
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Joachim Strengbom
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Maja K Sundqvist
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - David A Wardle
- Department of Environmental Science and Ecology, Umeå University, Umeå, Sweden
| | - Björn D Lindahl
- Department of Soil Science, Swedish University of Agricultural Sciences, Uppsala, Sweden
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57
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Plos C, Hensen I, Korell L, Auge H, Römermann C. Plant species phenology differs between climate and land-use scenarios and relates to plant functional traits. Ecol Evol 2024; 14:e11441. [PMID: 38799400 PMCID: PMC11116844 DOI: 10.1002/ece3.11441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/29/2024] Open
Abstract
Phenological shifts due to changing climate are often highly species and context specific. Land-use practices such as mowing or grazing directly affect the phenology of grassland species, but it is unclear if plants are similarly affected by climate change in differently managed grassland systems such as meadows and pastures. Functional traits have a high potential to explain phenological shifts and might help to understand species-specific and land-use-specific phenological responses to changes in climate. In the large-scale field experiment Global Change Experimental Facility (GCEF), we monitored the first flowering day, last flowering day, flowering duration, and day of peak flowering, of 17 herbaceous grassland species under ambient and future climate conditions, comparing meadows and pastures. Both climate and land use impacted the flowering phenology of plant species in species-specific ways. We did not find evidence for interacting effects of climate and land-use type on plant phenology. However, the data indicate that microclimatic and microsite conditions on meadows and pastures were differently affected by future climate, making differential effects on meadows and pastures likely. Functional traits, including the phenological niche and grassland utilization indicator values, explained species-specific phenological climate responses. Late flowering species and species with a low mowing tolerance advanced their flowering more strongly under future climate. Long flowering species and species following an acquisitive strategy (high specific leaf area, high mowing tolerance, and high forage value) advanced their flowering end more strongly and thus more strongly shortened their flowering under future climate. We associated these trait-response relationships primarily with a phenological drought escape during summer. Our results provide novel insights on how climate and land use impact the flowering phenology of grassland species and we highlight the role of functional traits in mediating phenological responses to climate.
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Affiliation(s)
- Carolin Plos
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
- Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle‐WittenbergHalle (Saale)Germany
| | - Isabell Hensen
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
- Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle‐WittenbergHalle (Saale)Germany
| | - Lotte Korell
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
- Department of Community Ecology, Helmholtz‐Centre for Environmental Research (UFZ)Halle (Saale)Germany
| | - Harald Auge
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
- Department of Community Ecology, Helmholtz‐Centre for Environmental Research (UFZ)Halle (Saale)Germany
| | - Christine Römermann
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
- Institute of Ecology and Evolution with Herbarium Haussknecht and Botanical Garden, Friedrich Schiller University JenaJenaGermany
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58
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Lam OHY, Kattge J, Tautenhahn S, Boenisch G, Kovach KR, Townsend PA. 'rtry': An R package to support plant trait data preprocessing. Ecol Evol 2024; 14:e11292. [PMID: 38725827 PMCID: PMC11079438 DOI: 10.1002/ece3.11292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/12/2024] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
Plant trait data are used to quantify how plants respond to environmental factors and can act as indicators of ecosystem function. Measured trait values are influenced by genetics, trade-offs, competition, environmental conditions, and phenology. These interacting effects on traits are poorly characterized across taxa, and for many traits, measurement protocols are not standardized. As a result, ancillary information about growth and measurement conditions can be highly variable, requiring a flexible data structure. In 2007, the TRY initiative was founded as an integrated database of plant trait data, including ancillary attributes relevant to understanding and interpreting the trait values. The TRY database now integrates around 700 original and collective datasets and has become a central resource of plant trait data. These data are provided in a generic long-table format, where a unique identifier links different trait records and ancillary data measured on the same entity. Due to the high number of trait records, plant taxa, and types of traits and ancillary data released from the TRY database, data preprocessing is necessary but not straightforward. Here, we present the 'rtry' R package, specifically designed to support plant trait data exploration and filtering. By integrating a subset of existing R functions essential for preprocessing, 'rtry' avoids the need for users to navigate the extensive R ecosystem and provides the functions under a consistent syntax. 'rtry' is therefore easy to use even for beginners in R. Notably, 'rtry' does not support data retrieval or analysis; rather, it focuses on the preprocessing tasks to optimize data quality. While 'rtry' primarily targets TRY data, its utility extends to data from other sources, such as the National Ecological Observatory Network (NEON). The 'rtry' package is available on the Comprehensive R Archive Network (CRAN; https://cran.r-project.org/package=rtry) and the GitHub Wiki (https://github.com/MPI-BGC-Functional-Biogeography/rtry/wiki) along with comprehensive documentation and vignettes describing detailed data preprocessing workflows.
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Affiliation(s)
- Olee Hoi Ying Lam
- Department of Forest and Wildlife EcologyUniversity of Wisconsin‐Madison, Russell LaboratoriesMadisonWisconsinUSA
- Max Planck Institute for BiogeochemistryJenaGermany
| | - Jens Kattge
- Max Planck Institute for BiogeochemistryJenaGermany
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
| | | | | | - Kyle R. Kovach
- Department of Forest and Wildlife EcologyUniversity of Wisconsin‐Madison, Russell LaboratoriesMadisonWisconsinUSA
| | - Philip A. Townsend
- Department of Forest and Wildlife EcologyUniversity of Wisconsin‐Madison, Russell LaboratoriesMadisonWisconsinUSA
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Yan H, Schmid B, Xu W, Bongers FJ, Chen G, Tang T, Wang Z, Svenning J, Ma K, Liu X. The functional diversity-productivity relationship of woody plants is climatically sensitive. Ecol Evol 2024; 14:e11364. [PMID: 38698929 PMCID: PMC11063782 DOI: 10.1002/ece3.11364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/07/2024] [Accepted: 04/19/2024] [Indexed: 05/05/2024] Open
Abstract
Plot-scale experiments indicate that functional diversity (FD) plays a pivotal role in sustaining ecosystem functions such as net primary productivity (NPP). However, the relationships between functional diversity and NPP across larger scale under varying climatic conditions are sparsely studied, despite its significance for understanding forest-atmosphere interactions and informing policy development. Hence, we examine the relationships of community-weighted mean (CWM) and functional dispersion (FDis) of woody plant traits on NPP across China and if such relationships are modulated by climatic conditions at the national scale. Using comprehensive datasets of distribution, functional traits, and productivity for 9120 Chinese woody plant species, we evaluated the distribution pattern of community-weighted mean and functional dispersion (including three orthogonal trait indicators: plant size, leaf morphology, and flower duration) and its relationships with NPP. Finally, we tested the effects of climatic conditions on community-weighted mean/functional dispersion-NPP relationships. We first found overall functional diversity-NPP relationships, but also that the magnitude of these relationships was sensitive to climate, with plant size community-weighted mean promoting NPP in warm regions and plant size functional dispersion promoting NPP in wet regions. Second, warm and wet conditions indirectly increased NPP by its positive effects on community-weighted mean or functional dispersion, particularly through mean plant size and leaf morphology. Our study provides comprehensive evidence for the relationships between functional diversity and NPP under varying climates at a large scale. Importantly, our results indicate a broadening significance of multidimensional plant functional traits for woody vegetation NPP in response to rising temperatures and wetter climates. Restoration, reforestation actions and natural capital accounting need to carefully consider not only community-weighted mean and functional dispersion but also their interactions with climate, to predict how functional diversity may promote ecosystem functioning under future climatic conditions.
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Affiliation(s)
- Haoru Yan
- State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Bernhard Schmid
- Department of Geography, Remote Sensing LaboratoriesUniversity of ZurichZurichSwitzerland
| | - Wubing Xu
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
| | - Franca J. Bongers
- Centre for Crop Systems AnalysisWageningen UniversityWageningenThe Netherlands
| | - Guoke Chen
- State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyBeijingChina
| | - Ting Tang
- State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Zhiheng Wang
- Institute of Ecology and key Laboratory for Earth Surface Processes of the Ministry of EducationCollege of Urban and Environmental Sciences, Peking UniversityBeijingChina
| | - Jens‐Christian Svenning
- Section for Ecoinformatics and Biodiversity, Department of BiologyAarhus UniversityAarhusDenmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of BiologyAarhus UniversityAarhusDenmark
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyBeijingChina
| | - Xiaojuan Liu
- State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyBeijingChina
- University of Chinese Academy of SciencesBeijingChina
- Zhejiang Qianjiangyuan Forest Biodiversity National Observation and Research StationInstitute of BotanyBeijingChina
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60
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Lu S, Wang J, Liu A, Lei F, Liu R, Li S. Intraspecific transitioning of ecological strategies in Pinus massoniana trees across restoration stages. Ecol Evol 2024; 14:e11305. [PMID: 38711487 PMCID: PMC11070636 DOI: 10.1002/ece3.11305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 03/19/2024] [Accepted: 04/08/2024] [Indexed: 05/08/2024] Open
Abstract
Intraspecific variation in plant functional traits and ecological strategies is typically overlooked in most studies despite its pivotal role at the local scales and along short environmental gradients. While CSR theory has been used to classify ecological strategies (competitive C; stress-tolerant, S; ruderal, R) in different plant species, its ability to explain intraspecific variation in ecological strategies remains uncertain. Here, we sought to investigate intraspecific variation in ecological strategies for Pinus massoniana, a pioneer conifer tree for ecological restoration in Changting County, southeast China. By measuring key leaf traits and canopy height of 252 individuals at different ontogenetic stages from three plots spanning distinctive stages along early ecological restoration and calculating their C, S, and R scores, we constructed an intraspecific CSR system. All individual strategies shifted across three restoration stages, with adults from higher S component to higher C component while juveniles from higher S component to higher R component. Our results suggest that while strategies of all P. massoniana individuals start with tolerance to environmental stress, as restoration proceeds, adult transition towards completion for light, whereas juveniles shift to an acquisitive resource use. The study reveals an intraspecific pattern of strategy variation during forest restoration, contributing to our understanding of how plants adapt to diverse environments.
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Affiliation(s)
- Sihang Lu
- Institute of Geography Fujian Normal University Fuzhou China
- School of Geographical Sciences Fujian Normal University Fuzhou China
| | - Jiazheng Wang
- State Key Laboratory of Grassland Agro-ecosystems, College of Ecology Lanzhou University Lanzhou China
- Yuzhong Mountain Ecosystems Observation and Research Station Lanzhou University Lanzhou China
| | - Ao Liu
- Institute of Geography Fujian Normal University Fuzhou China
- School of Geographical Sciences Fujian Normal University Fuzhou China
| | - Feiya Lei
- Institute of Geography Fujian Normal University Fuzhou China
- School of Geographical Sciences Fujian Normal University Fuzhou China
| | - Rong Liu
- Systems Ecology, Department of Ecological Science VU University Amsterdam The Netherlands
| | - Shouzhong Li
- Institute of Geography Fujian Normal University Fuzhou China
- School of Geographical Sciences Fujian Normal University Fuzhou China
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Gonçalves‐Souza T, Milz B, Sanders NJ, Reich PB, Maitner B, Chaves LS, Boldorini GX, Ferreira N, Gusmão RAF, Perônico PB, Teresa FB, Umaña MN. ZooTraits: An R shiny app for exploring animal trait data for ecological and evolutionary research. Ecol Evol 2024; 14:e11334. [PMID: 38694759 PMCID: PMC11056955 DOI: 10.1002/ece3.11334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 05/04/2024] Open
Abstract
Animal trait data are scattered across several datasets, making it challenging to compile and compare trait information across different groups. For plants, the TRY database has been an unwavering success for those ecologists interested in addressing how plant traits influence a wide variety of processes and patterns, but the same is not true for most animal taxonomic groups. Here, we introduce ZooTraits, a Shiny app designed to help users explore and obtain animal trait data for research in ecology and evolution. ZooTraits was developed to tackle the challenge of finding in a single site information of multiple trait datasets and facilitating access to traits by providing an easy-to-use, open-source platform. This app combines datasets centralized in the Open Trait Network, raw data from the AnimalTraits database, and trait information for animals compiled by Gonçalves-Souza et al. (2023, Ecology and Evolution 13, e10016). Importantly, the ZooTraits app can be accessed freely and provides a user-friendly interface through three functionalities that will allow users to easily visualize, compare, download, and upload trait data across the animal tree of life-ExploreTrait, FeedTrait, and GetTrait. By using ExploreTrait and GetTrait, users can explore, compare, and extract 3954 trait records from 23,394 species centralized in the Open Traits Network, and trait data for ~2000 species from the AnimalTraits database. The app summarizes trait information for numerous taxonomic groups within the Animal Kingdom, encompassing data from diverse aquatic and terrestrial ecosystems and various geographic regions worldwide. Moreover, ZooTraits enables researchers to upload trait information, serving as a hub for a continually expanding global trait database. By promoting the centralization of trait datasets and offering a platform for data sharing, ZooTraits is facilitating advancements in trait-based ecological and evolutionary studies. We hope that other trait databases will evolve to mirror the approach we have outlined here.
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Affiliation(s)
- Thiago Gonçalves‐Souza
- Institute for Global Change Biology, School for Environment and SustainabilityUniversity of MichiganAnn ArborMichiganUSA
- Department of Ecology and Evolutionary BiologyUniversity of MichiganAnn ArborMichiganUSA
- Programa de Pós‐Graduação em Etnobiologia e Conservação da Natureza, Departmento de BiologiaUniversidade Federal Rural de PernambucoRecifeBrazil
| | - Beatriz Milz
- Pós‐graduação em Ciência Ambiental, Instituto de Energia e AmbienteUniversidade de São PauloSão PauloBrazil
| | - Nathan J. Sanders
- Department of Ecology and Evolutionary BiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Peter B. Reich
- Institute for Global Change Biology, School for Environment and SustainabilityUniversity of MichiganAnn ArborMichiganUSA
- Department of Forest ResourcesUniversity of MinnesotaSt PaulMinnesotaUSA
| | - Brian Maitner
- Department of GeographyUniversity at BuffaloBuffaloNew YorkUSA
| | - Leonardo S. Chaves
- Comparative BioCognition, Institute of Cognitive ScienceUniversity of OsnabrückOsnabrückGermany
| | - Gabriel X. Boldorini
- Programa de Pós‐Graduação em Etnobiologia e Conservação da Natureza, Departmento de BiologiaUniversidade Federal Rural de PernambucoRecifeBrazil
| | - Natália Ferreira
- Programa de Pós‐Graduação em Biodiversidade, Departmento de BiologiaUniversidade Federal Rural de PernambucoRecifeBrazil
| | - Reginaldo A. F. Gusmão
- Programa de Pós‐Graduação em Etnobiologia e Conservação da Natureza, Departmento de BiologiaUniversidade Federal Rural de PernambucoRecifeBrazil
| | - Phamela Bernardes Perônico
- Programa de Pós‐Graduação em Recursos Naturais do CerradoUniversidade Estadual de GoiásAnápolisBrazil
- Laboratório de Biogeografia e Ecologia AquáticaUniversidade Estadual de GoiásAnápolisBrazil
| | - Fabrício B. Teresa
- Programa de Pós‐Graduação em Recursos Naturais do CerradoUniversidade Estadual de GoiásAnápolisBrazil
- Laboratório de Biogeografia e Ecologia AquáticaUniversidade Estadual de GoiásAnápolisBrazil
| | - María Natalia Umaña
- Department of Ecology and Evolutionary BiologyUniversity of MichiganAnn ArborMichiganUSA
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An N, Lu N, Wang M, Chen Y, Wu F, Fu B. Plant size traits are key contributors in the spatial variation of net primary productivity across terrestrial biomes in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171412. [PMID: 38447733 DOI: 10.1016/j.scitotenv.2024.171412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
Understanding the spatial variability of ecosystem functions is an important step forward in predicting changes in ecosystems under global transformations. Plant functional traits are important drivers of ecosystem functions such as net primary productivity (NPP). Although trait-based approaches have advanced rapidly, the extent to which specific plant functional traits are linked to the spatial diversity of NPP at a regional scale remains uncertain. Here, we used structural equation models (SEMs) to disentangle the relative effects of abiotic variables (i.e., climate, soil, nitrogen deposition, and human footprint) and biotic variables (i.e., plant functional traits and community structure) on the spatial variation of NPP across China and its eight biomes. Additionally, we investigated the indirect influence of climate and soil on the spatial variation of NPP by directly affecting plant functional traits. Abiotic and biotic variables collectively explained 62.6 % of the spatial differences of NPP within China, and 28.0 %-69.4 % across the eight distinct biomes. The most important abiotic factors, temperature and precipitation, had positive effects for NPP spatial variation. Interestingly, plant functional traits associated with the size of plant organs (i.e., plant height, leaf area, seed mass, and wood density) were the primary biotic drivers, and their positive effects were independent of biome type. Incorporating plant functional traits improved predictions of NPP by 6.7 %-50.2 %, except for the alpine tundra on the Qinghai-Tibet Plateau. Our study identifies the principal factors regulating NPP spatial variation and highlights the importance of plant size traits in predictions of NPP variation at a large scale. These results provide new insights for involving plant size traits in carbon process models.
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Affiliation(s)
- Nannan An
- Key Laboratory for Humid Subtropical Eco-geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 101408, China
| | - Nan Lu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 101408, China.
| | - Mengyu Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Library, Henan University of Science and Technology, Luoyang 471000, China
| | - Yongzhe Chen
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Department of Geography, The University of Hong Kong, Hongkong 999077, China
| | - Fuzhong Wu
- Key Laboratory for Humid Subtropical Eco-geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 101408, China
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Reyes-Ortiz M, Lira-Noriega A, Osorio-Olvera L, Luna-Vega I, Williams-Linera G. Leaf functional traits and ecological niche of Fagus grandifolia and Oreomunnea mexicana in natural forests and plantings as a proxy of climate change. AMERICAN JOURNAL OF BOTANY 2024; 111:e16322. [PMID: 38641895 DOI: 10.1002/ajb2.16322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 04/21/2024]
Abstract
PREMISE Functional traits reflect species' responses to environmental variation and the breadth of their ecological niches. Fagus grandifolia and Oreomunnea mexicana have restricted distribution in upper montane cloud forests (1700-2000 m a.s.l.) in Mexico. These species were introduced into plantings at lower elevations (1200-1600 m a.s.l.) that have climates predicted for montane forests in 2050 and 2070. The aim was to relate morphological leaf traits to the ecological niche structure of each species. METHODS Leaf functional traits (leaf area, specific leaf area [SLA], thickness, and toughness) were analyzed in forests and plantings. Atmospheric circulation models and representative concentration pathways (RCPs: 2.6, 4.5, 8.5) were used to assess future climate conditions. Trait-niche relationships were analyzed by measuring the Mahalanobis distance (MD) from the forests and the plantings to the ecological niche centroid (ENC). RESULTS For both species, leaf area and SLA were higher and toughness lower in plantings at lower elevation relative to those in higher-elevation forests, and thickness was similar. Leaf traits varied with distance from sites to the ENC. Forests and plantings have different environmental locations regarding the ENC, but forests are closer (MD 0.34-0.58) than plantings (MD 0.50-0.70) for both species. CONCLUSIONS Elevation as a proxy for expected future climate conditions influenced the functional traits of both species, and trait patterns related to the structure of their ecological niches were consistent. The use of distances to the ENC is a promising approach to explore variability in species' functional traits and phenotypic responses in optimal versus marginal environmental conditions.
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Affiliation(s)
- Miriam Reyes-Ortiz
- Red de Ecología Funcional, Instituto de Ecología, A.C., Carretera antigua a Coatepec No. 351, Xalapa, 91073, Veracruz, Mexico
- Departamento de Saúde Coletiva, Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Rua Tessália Vieira de Camargo, 126 - Cidade Universitária Zeferino Vaz CEP 13083-887, Campinas, SP, Brazil
| | - Andrés Lira-Noriega
- Instituto de Ecología, A.C., Red de Estudios Moleculares Avanzados, Xalapa, 91073, Veracruz, Mexico
| | - Luis Osorio-Olvera
- Departamento de Ecología de la Biodiversidad, Instituto de Ecología, UNAM, Laboratorio de Ecoinformática de la Biodiversidad, Ciudad de México, Mexico
| | - Isolda Luna-Vega
- Departamento de Biología Evolutiva, Facultad de Ciencias, UNAM, Laboratorio de Biogeografía y Sistemática, Ciudad de México, Mexico
| | - Guadalupe Williams-Linera
- Red de Ecología Funcional, Instituto de Ecología, A.C., Carretera antigua a Coatepec No. 351, Xalapa, 91073, Veracruz, Mexico
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Hisano M, Ghazoul J, Chen X, Chen HYH. Functional diversity enhances dryland forest productivity under long-term climate change. SCIENCE ADVANCES 2024; 10:eadn4152. [PMID: 38657059 PMCID: PMC11042740 DOI: 10.1126/sciadv.adn4152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/20/2024] [Indexed: 04/26/2024]
Abstract
Short-term experimental studies provided evidence that plant diversity increases ecosystem resilience and resistance to drought events, suggesting diversity to serve as a nature-based solution to address climate change. However, it remains unclear whether the effects of diversity are momentary or still hold over the long term in natural forests to ensure that the sustainability of carbon sinks. By analyzing 57 years of inventory data from dryland forests in Canada, we show that productivity of dryland forests decreased at an average rate of 1.3% per decade, in concert with the temporally increasing temperature and decreasing water availability. Increasing functional trait diversity from its minimum (monocultures) to maximum value increased productivity by 13%. Our results demonstrate the potential role of tree functional trait diversity in alleviating climate change impacts on dryland forests. While recognizing that nature-based climate mitigation (e.g., planting trees) can only be partial solutions, their long-term (decadal) efficacy can be improved by enhancing functional trait diversity across the forest community.
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Affiliation(s)
- Masumi Hisano
- Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo, Kyoto, 606-8501, Japan
- Ecosystem Management, Institute of Terrestrial Ecosystems, Department of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland
- Department of Ecosystem Studies, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan
- Faculty of Natural Resources Management, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada
| | - Jaboury Ghazoul
- Ecosystem Management, Institute of Terrestrial Ecosystems, Department of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland
| | - Xinli Chen
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Han Y. H. Chen
- Faculty of Natural Resources Management, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada
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Camenzind T, Aguilar-Trigueros CA, Hempel S, Lehmann A, Bielcik M, Andrade-Linares DR, Bergmann J, Dela Cruz J, Gawronski J, Golubeva P, Haslwimmer H, Lartey L, Leifheit E, Maaß S, Marhan S, Pinek L, Powell JR, Roy J, Veresoglou SD, Wang D, Wulf A, Zheng W, Rillig MC. Towards establishing a fungal economics spectrum in soil saprobic fungi. Nat Commun 2024; 15:3321. [PMID: 38637578 PMCID: PMC11026409 DOI: 10.1038/s41467-024-47705-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024] Open
Abstract
Trait-based frameworks are promising tools to understand the functional consequences of community shifts in response to environmental change. The applicability of these tools to soil microbes is limited by a lack of functional trait data and a focus on categorical traits. To address this gap for an important group of soil microorganisms, we identify trade-offs underlying a fungal economics spectrum based on a large trait collection in 28 saprobic fungal isolates, derived from a common grassland soil and grown in culture plates. In this dataset, ecologically relevant trait variation is best captured by a three-dimensional fungal economics space. The primary explanatory axis represents a dense-fast continuum, resembling dominant life-history trade-offs in other taxa. A second significant axis reflects mycelial flexibility, and a third one carbon acquisition traits. All three axes correlate with traits involved in soil carbon cycling. Since stress tolerance and fundamental niche gradients are primarily related to the dense-fast continuum, traits of the 2nd (carbon-use efficiency) and especially the 3rd (decomposition) orthogonal axes are independent of tested environmental stressors. These findings suggest a fungal economics space which can now be tested at broader scales.
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Affiliation(s)
- Tessa Camenzind
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany.
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
| | - Carlos A Aguilar-Trigueros
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland
| | - Stefan Hempel
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Anika Lehmann
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Milos Bielcik
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Diana R Andrade-Linares
- Research Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
| | - Joana Bergmann
- Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
| | - Jeane Dela Cruz
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Jessie Gawronski
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Polina Golubeva
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Heike Haslwimmer
- Institute of Soil Science and Land Evaluation, Soil Biology department, University of Hohenheim, Emil-Wolff-Str. 27, 70599, Stuttgart, Germany
| | - Linda Lartey
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Eva Leifheit
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Stefanie Maaß
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Sven Marhan
- Institute of Soil Science and Land Evaluation, Soil Biology department, University of Hohenheim, Emil-Wolff-Str. 27, 70599, Stuttgart, Germany
| | - Liliana Pinek
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Jeff R Powell
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Julien Roy
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Stavros D Veresoglou
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, 518107, China
| | - Dongwei Wang
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Anja Wulf
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Weishuang Zheng
- Marine Institute for Bioresources and Environment, Peking University Shenzhen Institute, Shenzhen, 518057, China
| | - Matthias C Rillig
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
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Gargallo-Garriga A, Sardans J, Llusià J, Peguero G, Ayala-Roque M, Courtois EA, Stahl C, Urban O, Klem K, Nolis P, Pérez-Trujillo M, Parella T, Richter A, Janssens IA, Peñuelas J. Different profiles of soil phosphorous compounds depending on tree species and availability of soil phosphorus in a tropical rainforest in French Guiana. BMC PLANT BIOLOGY 2024; 24:278. [PMID: 38609866 PMCID: PMC11010349 DOI: 10.1186/s12870-024-04907-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/13/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND The availability of soil phosphorus (P) often limits the productivities of wet tropical lowland forests. Little is known, however, about the metabolomic profile of different chemical P compounds with potentially different uses and about the cycling of P and their variability across space under different tree species in highly diverse tropical rainforests. RESULTS We hypothesised that the different strategies of the competing tree species to retranslocate, mineralise, mobilise, and take up P from the soil would promote distinct soil 31P profiles. We tested this hypothesis by performing a metabolomic analysis of the soils in two rainforests in French Guiana using 31P nuclear magnetic resonance (NMR). We analysed 31P NMR chemical shifts in soil solutions of model P compounds, including inorganic phosphates, orthophosphate mono- and diesters, phosphonates, and organic polyphosphates. The identity of the tree species (growing above the soil samples) explained > 53% of the total variance of the 31P NMR metabolomic profiles of the soils, suggesting species-specific ecological niches and/or species-specific interactions with the soil microbiome and soil trophic web structure and functionality determining the use and production of P compounds. Differences at regional and topographic levels also explained some part of the the total variance of the 31P NMR profiles, although less than the influence of the tree species. Multivariate analyses of soil 31P NMR metabolomics data indicated higher soil concentrations of P biomolecules involved in the active use of P (nucleic acids and molecules involved with energy and anabolism) in soils with lower concentrations of total soil P and higher concentrations of P-storing biomolecules in soils with higher concentrations of total P. CONCLUSIONS The results strongly suggest "niches" of soil P profiles associated with physical gradients, mostly topographic position, and with the specific distribution of species along this gradient, which is associated with species-specific strategies of soil P mineralisation, mobilisation, use, and uptake.
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Affiliation(s)
- Albert Gargallo-Garriga
- Global Change Research Institute, The Czech Academy of Sciences, Belidla 986/4a, Brno, CZ-60300, Czech Republic.
- Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.
| | - Jordi Sardans
- Global Ecology Unit, CSIC, CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
- CREAF, Cerdanyola del vallès, Barcelona, Catalonia, 08193, Spain
| | - Joan Llusià
- Global Ecology Unit, CSIC, CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
- CREAF, Cerdanyola del vallès, Barcelona, Catalonia, 08193, Spain
| | - Guille Peguero
- Global Ecology Unit, CSIC, CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
- CREAF, Cerdanyola del vallès, Barcelona, Catalonia, 08193, Spain
| | | | - Elodie A Courtois
- Centre of Excellence PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Wilrijk, Belgium
- Laboratoire écologie, évolution, Interactions des Systèmes Amazoniens (LEEISA), Université de Guyane, CNRS, IFREMER, Cayenne, France
| | - Clément Stahl
- UMR ECOFOG - Ecologie des forêts de Guyane, Kourou cedex, 97379, France
| | - Otmar Urban
- Global Ecology Unit, CSIC, CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
| | - Karel Klem
- Global Ecology Unit, CSIC, CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
| | - Pau Nolis
- Servei de Ressonància Magnètica Nuclear, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - Miriam Pérez-Trujillo
- Servei de Ressonància Magnètica Nuclear, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - Teodor Parella
- Servei de Ressonància Magnètica Nuclear, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - Andreas Richter
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Althanstr. 14, Vienna, 1090, Austria
| | - Ivan A Janssens
- Centre of Excellence PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Wilrijk, Belgium
| | - Josep Peñuelas
- Global Ecology Unit, CSIC, CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
- CREAF, Cerdanyola del vallès, Barcelona, Catalonia, 08193, Spain
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Ye Z, Mu Y, Van Duzen S, Ryser P. Root and shoot phenology, architecture, and organ properties: an integrated trait network among 44 herbaceous wetland species. THE NEW PHYTOLOGIST 2024. [PMID: 38600040 DOI: 10.1111/nph.19747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 03/24/2024] [Indexed: 04/12/2024]
Abstract
Integrating traits across above- and belowground organs offers comprehensive insights into plant ecology, but their various functions also increase model complexity. This study aimed to illuminate the interspecific pattern of whole-plant trait correlations through a network lens, including a detailed analysis of the root system. Using a network algorithm that allows individual traits to belong to multiple modules, we characterize interrelations among 19 traits, spanning both shoot and root phenology, architecture, morphology, and tissue properties of 44 species, mostly herbaceous monocots from Northern Ontario wetlands, grown in a common garden. The resulting trait network shows three distinct yet partially overlapping modules. Two major trait modules indicate constraints of plant size and form, and resource economics, respectively. These modules highlight the interdependence between shoot size, root architecture and porosity, and a shoot-root coordination in phenology and dry-matter content. A third module depicts leaf biomechanical adaptations specific to wetland graminoids. All three modules overlap on shoot height, suggesting multifaceted constraints of plant stature. In the network, individual-level traits showed significantly higher centrality than tissue-level traits do, demonstrating a hierarchical trait integration. The presented whole-plant, integrated network suggests that trait covariation is essentially function-driven rather than organ-specific.
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Affiliation(s)
- Ziqi Ye
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON, P3E 2C6, Canada
| | - Yanmei Mu
- Yanchi Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China
| | - Shianne Van Duzen
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON, P3E 2C6, Canada
| | - Peter Ryser
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON, P3E 2C6, Canada
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68
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Tong S, Zhang J, Qiao X, Li B, Yang Q, Hu P, Yu S. Does local soil factor drive functional leaf trait variation? A test on Neilingding Island, South China. BMC Ecol Evol 2024; 24:43. [PMID: 38600505 PMCID: PMC11005248 DOI: 10.1186/s12862-024-02227-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 03/15/2024] [Indexed: 04/12/2024] Open
Abstract
Leaf traits were affected by soil factors and displayed varietal differences in forest. However, few examples have been reported on the Island ecosystems. We comprehensively investigated 9 leaf traits (leaf length, leaf width, leaf area, SLA, leaf fresh weight, leaf C content, leaf N content, leaf K content, leaf C:N ratio) of 54 main subtropical woody species and soil parameters (soil pH, total C content, total N content, total K content, available N content, available P content, available K content and soil moisture) in Neilingding Island, Shenzhen, southern China. Intra-and interspecific variation of leaf traits were measured and their correlations with soil parameters were explored. The interspecific variations of leaf C:N ratio, leaf N content and leaf fresh weight were higher than their intraspecific variations. The intraspecific variation of leaf K content was larger than that of interspecific one, accounting for 80.69% of the total variance. Positive correlations were found among intraspecific coefficients of variations in leaf morphological traits. The correlation analysis between the variation of intraspecific traits and the variation of soil parameters showed that changes in soil factors affected leaf morphology and stoichiometry. The interaction between soil moisture and soil available P content was the key factor on intraspecific variations of leaf traits including leaf area, leaf fresh weight, leaf C and leaf K content. We concluded that leaf traits of plants in the island were tightly related to soil parameters. Soil parameters, especially soil moisture and available P content, affected plant leaf morphology and stoichiometry at the local scale.
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Affiliation(s)
- Sen Tong
- Department of Ecology, School of Life Sciences, State Key Laboratory of Biocontrol, Sun Yat-sen University, 510275, Guangzhou, China
- Research Institute of Sun Yat-sen University in Shenzhen, 518057, Shenzhen, China
| | - Juanjuan Zhang
- Department of Ecology, School of Life Sciences, State Key Laboratory of Biocontrol, Sun Yat-sen University, 510275, Guangzhou, China
- Research Institute of Sun Yat-sen University in Shenzhen, 518057, Shenzhen, China
| | - Xueting Qiao
- Department of Ecology, School of Life Sciences, State Key Laboratory of Biocontrol, Sun Yat-sen University, 510275, Guangzhou, China
- Research Institute of Sun Yat-sen University in Shenzhen, 518057, Shenzhen, China
| | - Buhang Li
- Department of Ecology, School of Life Sciences, State Key Laboratory of Biocontrol, Sun Yat-sen University, 510275, Guangzhou, China
- Research Institute of Sun Yat-sen University in Shenzhen, 518057, Shenzhen, China
| | - Qiong Yang
- Guangdong Neilingding-Futian National Nature Reserve, 518040, Shenzhen, China
| | - Ping Hu
- Guangdong Neilingding-Futian National Nature Reserve, 518040, Shenzhen, China
| | - Shixiao Yu
- Department of Ecology, School of Life Sciences, State Key Laboratory of Biocontrol, Sun Yat-sen University, 510275, Guangzhou, China.
- Research Institute of Sun Yat-sen University in Shenzhen, 518057, Shenzhen, China.
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69
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Liu Y, Hogan JA, Lichstein JW, Guralnick RP, Soltis DE, Soltis PS, Scheiner SM. Biodiversity and productivity in eastern US forests. Proc Natl Acad Sci U S A 2024; 121:e2314231121. [PMID: 38527197 PMCID: PMC10998592 DOI: 10.1073/pnas.2314231121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/06/2024] [Indexed: 03/27/2024] Open
Abstract
Despite experimental and observational studies demonstrating that biodiversity enhances primary productivity, the best metric for predicting productivity at broad geographic extents-functional trait diversity, phylogenetic diversity, or species richness-remains unknown. Using >1.8 million tree measurements from across eastern US forests, we quantified relationships among functional trait diversity, phylogenetic diversity, species richness, and productivity. Surprisingly, functional trait and phylogenetic diversity explained little variation in productivity that could not be explained by tree species richness. This result was consistent across the entire eastern United States, within ecoprovinces, and within data subsets that controlled for biomass or stand age. Metrics of functional trait and phylogenetic diversity that were independent of species richness were negatively correlated with productivity. This last result suggests that processes that determine species sorting and packing are likely important for the relationships between productivity and biodiversity. This result also demonstrates the potential confusion that can arise when interdependencies among different diversity metrics are ignored. Our findings show the value of species richness as a predictive tool and highlight gaps in knowledge about linkages between functional diversity and ecosystem functioning.
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Affiliation(s)
- Yunpeng Liu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory of Earth Surface Processes of Ministry of Education, Peking University, Beijing100871, China
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
| | - J. Aaron Hogan
- Department of Biology, University of Florida, Gainesville, FL32611
| | | | - Robert P. Guralnick
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
| | - Douglas E. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Department of Biology, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
| | - Pamela S. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
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Lausch A, Selsam P, Pause M, Bumberger J. Monitoring vegetation- and geodiversity with remote sensing and traits. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2024; 382:20230058. [PMID: 38342219 PMCID: PMC10859235 DOI: 10.1098/rsta.2023.0058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/28/2023] [Indexed: 02/13/2024]
Abstract
Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not only through long-term processes but also through medium- and short-term processes. Geodiversity is, therefore, a key control and regulating variable in the overall development of landscapes and biodiversity. However, climate change and land use intensity are leading to major changes and disturbances in bio- and geodiversity. For sustainable ecosystem management, temporal, economically viable and standardized monitoring is needed to monitor and model the effects and changes in vegetation- and geodiversity. RS approaches have been used for this purpose for decades. However, to understand in detail how RS approaches capture vegetation- and geodiversity, the aim of this paper is to describe how five features of vegetation- and geodiversity are captured using RS technologies, namely: (i) trait diversity, (ii) phylogenetic/genese diversity, (iii) structural diversity, (iv) taxonomic diversity and (v) functional diversity. Trait diversity is essential for establishing the other four. Traits provide a crucial interface between in situ, close-range, aerial and space-based RS monitoring approaches. The trait approach allows complex data of different types and formats to be linked using the latest semantic data integration techniques, which will enable ecosystem integrity monitoring and modelling in the future. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'.
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Affiliation(s)
- Angela Lausch
- Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research-UFZ, Permoserstr. 15, 04318 Leipzig, Germany
- Department of Physical Geography and Geoecology, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 4, 06120 Halle, Germany
- Department of Architecture, Facility Management and Geoinformation, Institute for Geoinformation and Surveying, Bauhausstraße 8, 06846 Dessau, Germany
| | - Peter Selsam
- Department of Monitoring and Exploration Technologies, and
| | - Marion Pause
- Department of Architecture, Facility Management and Geoinformation, Institute for Geoinformation and Surveying, Bauhausstraße 8, 06846 Dessau, Germany
| | - Jan Bumberger
- Department of Monitoring and Exploration Technologies, and
- Research Data Management-RDM, Helmholtz Centre for Environmental Research UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
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71
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Cox DTC, Gaston KJ. Cathemerality: a key temporal niche. Biol Rev Camb Philos Soc 2024; 99:329-347. [PMID: 37839797 DOI: 10.1111/brv.13024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 10/01/2023] [Accepted: 10/02/2023] [Indexed: 10/17/2023]
Abstract
Given the marked variation in abiotic and biotic conditions between day and night, many species specialise their physical activity to being diurnal or nocturnal, and it was long thought that these strategies were commonly fairly fixed and invariant. The term 'cathemeral', was coined in 1987, when Tattersall noted activity in a Madagascan primate during the hours of both daylight and darkness. Initially thought to be rare, cathemerality is now known to be a quite widespread form of time partitioning amongst arthropods, fish, birds, and mammals. Herein we provide a synthesis of present understanding of cathemeral behaviour, arguing that it should routinely be included alongside diurnal and nocturnal strategies in schemes that distinguish and categorise species across taxa according to temporal niche. This synthesis is particularly timely because (i) the study of animal activity patterns is being revolutionised by new and improved technologies; (ii) it is becoming apparent that cathemerality covers a diverse range of obligate to facultative forms, each with their own common sets of functional traits, geographic ranges and evolutionary history; (iii) daytime and nighttime activity likely plays an important but currently neglected role in temporal niche partitioning and ecosystem functioning; and (iv) cathemerality may have an important role in the ability of species to adapt to human-mediated pressures.
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Affiliation(s)
- Daniel T C Cox
- Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall, TR10 9FE, UK
| | - Kevin J Gaston
- Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall, TR10 9FE, UK
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72
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Singh R, Pandey R. Underlying plant trait strategies for understanding the carbon sequestration in Banj oak Forest of Himalaya. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170681. [PMID: 38325486 DOI: 10.1016/j.scitotenv.2024.170681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 01/13/2024] [Accepted: 02/02/2024] [Indexed: 02/09/2024]
Abstract
Plant functional attributes are subjected to environmental adjustments, which lead to modulations in forest processes under environmental changes. However, a comprehensive assessment of the relationships between plant traits and carbon stock remains subtle. The present study attempted to accomplish the gap of knowledge by examining the linkages between forest carbon with plant traits within the Banj Oak forest in the Garhwal Himalaya. Twelve individuals from three major species in the Banj Oak forest were randomly selected for trait measurements, and soil samples were collected randomly across the area for evaluation of soil nutrients and carbon. Forest biomass and soil carbon were estimated following standard protocols. A Structural Equation Model (SEM) was applied to establish the relationship between above ground carbon (AGC) and soil organic carbon (SOC) with leaf and stem traits, and soil nutrients. Stem traits were tree height and tree diameter; whereas leaf morphological traits were leaf area, specific leaf area, leaf dry matter content; leaf physiological traits were photosynthesis rate, stomatal conductance, and transpiration rate; and leaf biochemical traits were leaf carbon concentration, leaf nitrogen concentration, and leaf phosphorus concentration. Soil nutrients were available nitrogen, available phosphorus, and exchangeable potassium. Based on SEM results, AGC of the forest was positively correlated with stem traits and leaf physiological traits, while negatively correlated with leaf morphological traits. SOC was positively correlated with soil nutrients and leaf biochemical traits, whereas negatively correlated with stem traits. These findings may support for precise quantification of forest carbon and modeling of forest carbon stocks besides providing inputs to forest managers for devising effective forest management strategies.
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Affiliation(s)
| | - Rajiv Pandey
- Indian Council of Forestry Research and Education, Dehradun, India.
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73
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McElwain JC, Matthaeus WJ, Barbosa C, Chondrogiannis C, O' Dea K, Jackson B, Knetge AB, Kwasniewska K, Nair R, White JD, Wilson JP, Montañez IP, Buckley YM, Belcher CM, Nogué S. Functional traits of fossil plants. THE NEW PHYTOLOGIST 2024; 242:392-423. [PMID: 38409806 DOI: 10.1111/nph.19622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 12/19/2023] [Indexed: 02/28/2024]
Abstract
A minuscule fraction of the Earth's paleobiological diversity is preserved in the geological record as fossils. What plant remnants have withstood taphonomic filtering, fragmentation, and alteration in their journey to become part of the fossil record provide unique information on how plants functioned in paleo-ecosystems through their traits. Plant traits are measurable morphological, anatomical, physiological, biochemical, or phenological characteristics that potentially affect their environment and fitness. Here, we review the rich literature of paleobotany, through the lens of contemporary trait-based ecology, to evaluate which well-established extant plant traits hold the greatest promise for application to fossils. In particular, we focus on fossil plant functional traits, those measurable properties of leaf, stem, reproductive, or whole plant fossils that offer insights into the functioning of the plant when alive. The limitations of a trait-based approach in paleobotany are considerable. However, in our critical assessment of over 30 extant traits we present an initial, semi-quantitative ranking of 26 paleo-functional traits based on taphonomic and methodological criteria on the potential of those traits to impact Earth system processes, and for that impact to be quantifiable. We demonstrate how valuable inferences on paleo-ecosystem processes (pollination biology, herbivory), past nutrient cycles, paleobiogeography, paleo-demography (life history), and Earth system history can be derived through the application of paleo-functional traits to fossil plants.
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Affiliation(s)
- Jennifer C McElwain
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - William J Matthaeus
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Catarina Barbosa
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | | | - Katie O' Dea
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Bea Jackson
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Antonietta B Knetge
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Kamila Kwasniewska
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Richard Nair
- School of Natural Sciences, Botany, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Joseph D White
- Department of Biology, Baylor University, Waco, 76798-7388, TX, USA
| | - Jonathan P Wilson
- Department of Environmental Studies, Haverford College, Haverford, Pennsylvania, 19041, PA, USA
| | - Isabel P Montañez
- UC Davis Institute of the Environment, University of California, Davis, CA, 95616, USA
- Department of Earth and Planetary Sciences, University of California, Davis, CA, 95616, USA
| | - Yvonne M Buckley
- School of Natural Sciences, Zoology, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | | | - Sandra Nogué
- Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), 08193, Catalonia, Spain
- CREAF, Bellaterra (Cerdanyola del Vallès), 08193, Catalonia, Spain
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74
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Prochazka LS, Alcantara S, Rando JG, Vasconcelos T, Pizzardo RC, Nogueira A. Resource availability and disturbance frequency shape evolution of plant life forms in Neotropical habitats. THE NEW PHYTOLOGIST 2024; 242:760-773. [PMID: 38379443 DOI: 10.1111/nph.19601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/30/2024] [Indexed: 02/22/2024]
Abstract
Organisms use diverse strategies to thrive in varying habitats. While life history theory partly explains these relationships, the combined impact of resource availability and disturbance frequency on life form strategy evolution has received limited attention. We use Chamaecrista species, a legume plant lineage with a high diversity of plant life forms in the Neotropics, and employ ecological niche modeling and comparative phylogenetic methods to examine the correlated evolution of plant life forms and environmental niches. Chamaephytes and phanerophytes have optima in environments characterized by moderate water and nutrient availability coupled with infrequent fire disturbances. By contrast, annual plants thrive in environments with scarce water and nutrients, alongside frequent fire disturbances. Similarly, geophyte species also show increased resistance to frequent fire disturbances, although they thrive in resource-rich environments. Our findings shed light on the evolution of plant strategies along environmental gradients, highlighting that annuals and geophytes respond differently to high incidences of fire disturbances, with one enduring it as seeds in a resource-limited habitat and the other relying on reserves and root resprouting systems in resource-abundant habitats. Furthermore, it deepens our understanding of how organisms evolve associated with their habitats, emphasizing a constraint posed by low-resource and high-disturbance environments.
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Affiliation(s)
- Luana S Prochazka
- Programa de Pós-graduação em Biodiversidade Vegetal e Meio Ambiente, Instituto de Pesquisas Ambientais, São Paulo, SP, CEP 04301-902, Brazil
- Laboratório de Interações Planta-Animal (LIPA), Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, São Bernardo do Campo, SP, CEP 09606-045, Brazil
| | - Suzana Alcantara
- Departamento de Botânica, Universidade Federal de Santa Catarina, Florianópolis, SC, CEP 88040-900, Brazil
| | - Juliana Gastaldello Rando
- Programa de Pós-Graduação em Ciências Ambientais, Centro das Ciências Biológicas e da Saúde, Universidade Federal do Oeste da Bahia, Barreiras, BA, CEP 47808-021, Brazil
| | - Thais Vasconcelos
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Raquel C Pizzardo
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Anselmo Nogueira
- Laboratório de Interações Planta-Animal (LIPA), Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, São Bernardo do Campo, SP, CEP 09606-045, Brazil
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75
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Vu GTH, Cao HX, Hofmann M, Steiner W, Gailing O. Uncovering epigenetic and transcriptional regulation of growth in Douglas-fir: identification of differential methylation regions in mega-sized introns. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:863-875. [PMID: 37984804 PMCID: PMC10955500 DOI: 10.1111/pbi.14229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023]
Abstract
Tree growth performance can be partly explained by genetics, while a large proportion of growth variation is thought to be controlled by environmental factors. However, to what extent DNA methylation, a stable epigenetic modification, contributes to phenotypic plasticity in the growth performance of long-lived trees remains unclear. In this study, a comparative analysis of targeted DNA genotyping, DNA methylation and mRNAseq profiling for needles of 44-year-old Douglas-fir trees (Pseudotsuga menziesii (Mirb.) Franco) having contrasting growth characteristics was performed. In total, we identified 195 differentially expressed genes (DEGs) and 115 differentially methylated loci (DML) that are associated with genes involved in fitness-related processes such as growth, stress management, plant development and energy resources. Interestingly, all four intronic DML were identified in mega-sized (between 100 and 180 kbp in length) and highly expressed genes, suggesting specialized regulation mechanisms of these long intron genes in gymnosperms. DNA repetitive sequences mainly comprising long-terminal repeats of retroelements are involved in growth-associated DNA methylation regulation (both hyper- and hypomethylation) of 99 DML (86.1% of total DML). Furthermore, nearly 14% of the DML was not tagged by single nucleotide polymorphisms, suggesting a unique contribution of the epigenetic variation in tree growth.
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Affiliation(s)
- Giang Thi Ha Vu
- Forest Genetics and Forest Tree BreedingUniversity of GöttingenGöttingenGermany
- Center for Integrated Breeding Research (CiBreed)University of GöttingenGöttingenGermany
| | - Hieu Xuan Cao
- Forest Genetics and Forest Tree BreedingUniversity of GöttingenGöttingenGermany
- Center for Integrated Breeding Research (CiBreed)University of GöttingenGöttingenGermany
| | - Martin Hofmann
- Nordwestdeutsche Forstliche VersuchsanstaltAbteilung WaldgenressourcenHann. MündenGermany
| | - Wilfried Steiner
- Nordwestdeutsche Forstliche VersuchsanstaltAbteilung WaldgenressourcenHann. MündenGermany
| | - Oliver Gailing
- Forest Genetics and Forest Tree BreedingUniversity of GöttingenGöttingenGermany
- Center for Integrated Breeding Research (CiBreed)University of GöttingenGöttingenGermany
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76
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Luo A, Li Y, Shrestha N, Xu X, Su X, Li Y, Lyu T, Waris K, Tang Z, Liu X, Lin L, Chen Y, Zu K, Song W, Peng S, Zimmermann NE, Pellissier L, Wang Z. Global multifaceted biodiversity patterns, centers, and conservation needs in angiosperms. SCIENCE CHINA. LIFE SCIENCES 2024; 67:817-828. [PMID: 38217639 DOI: 10.1007/s11427-023-2430-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/03/2023] [Indexed: 01/15/2024]
Abstract
The Convention on Biological Diversity seeks to conserve at least 30% of global land and water areas by 2030, which is a challenge but also an opportunity to better preserve biodiversity, including flowering plants (angiosperms). Herein, we compiled a large database on distributions of over 300,000 angiosperm species and the key functional traits of 67,024 species. Using this database, we constructed biodiversity-environment models to predict global patterns of taxonomic, phylogenetic, and functional diversity in terrestrial angiosperms and provide a comprehensive mapping of the three diversity facets. We further evaluated the current protection status of the biodiversity centers of these diversity facets. Our results showed that geographical patterns of the three facets of plant diversity exhibited substantial spatial mismatches and nonoverlapping conservation priorities. Idiosyncratic centers of functional diversity, particularly of herbaceous species, were primarily distributed in temperate regions and under weaker protection compared with other biodiversity centers of taxonomic and phylogenetic facets. Our global assessment of multifaceted biodiversity patterns and centers highlights the insufficiency and unbalanced conservation among the three diversity facets and the two growth forms (woody vs. herbaceous), thus providing directions for guiding the future conservation of global plant diversity.
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Affiliation(s)
- Ao Luo
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Yaoqi Li
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China
| | - Nawal Shrestha
- State Key Laboratory of Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Xiaoting Xu
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Xiangyan Su
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
- Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing, 100035, China
| | - Yichao Li
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Tong Lyu
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Kilara Waris
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zhiyao Tang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Xiaojuan Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Luxiang Lin
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650201, China
| | - Yongsheng Chen
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Kuiling Zu
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Wenqi Song
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Shijia Peng
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Niklaus E Zimmermann
- Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland
- Department of Environmental Systems Science, ETH Zürich, Zürich, 8092, Switzerland
| | - Loïc Pellissier
- Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland
- Department of Environmental Systems Science, ETH Zürich, Zürich, 8092, Switzerland
| | - Zhiheng Wang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
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Liu D, Zhao C, Li G, Chen Z, Wang S, Huang C, Zhang P. Shrub leaf area and leaf vein trait trade-offs in response to the light environment in a vegetation transitional zone. FUNCTIONAL PLANT BIOLOGY : FPB 2024; 51:FP24011. [PMID: 38621017 DOI: 10.1071/fp24011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 03/18/2024] [Indexed: 04/17/2024]
Abstract
The leaf is an important site for energy acquisition and material transformation in plants. Leaf functional traits and their trade-off mechanisms reflect the resource utilisation efficiency and habitat adaptation strategies of plants, and contribute to our understanding of the mechanism by which the distribution pattern of plant populations in arid and semi-arid areas influences the evolution of vegetation structure and function. We selected two natural environments, the tree-shrub community canopy area and the shrub-grass community open area in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau. We studied the trade-off relationships of leaf area with leaf midvein diameter and leaf vein density in Cotoneaster multiflorus using the standardised major axis (SMA) method. The results show that the growth pattern of C. multiflorus , which has small leaves of high density and extremely small vein diameters, in the open area. The water use efficiency and net photosynthetic rate of plants in the open area were significantly greater than those of plants growing in the canopy area. The adaptability of C. multiflorus to environments with high light and low soil water content reflects its spatial colonisation potential in arid and semiarid mountains.
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Affiliation(s)
- Dingyue Liu
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China
| | - Chengzhang Zhao
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China
| | - Geyang Li
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China
| | - Zhini Chen
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China; and Xinglongshan Forest Ecosystem National Positioning Observation and Research Station, Lanzhou 730100, China
| | - Suhong Wang
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China
| | - Chenglu Huang
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China
| | - Peixian Zhang
- Gansu Province Wetland Resources Protection and Industrial Development Engineering Research Center, College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, Gansu 730100, China
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78
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Yang Z, Li J, Xiao R, Zhang C, Ma X, Du G, Li G, Jiang L. Losses of low-germinating, slow-growing species prevent grassland composition recovery from nutrient amendment. GLOBAL CHANGE BIOLOGY 2024; 30:e17264. [PMID: 38556774 DOI: 10.1111/gcb.17264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 02/22/2024] [Accepted: 03/03/2024] [Indexed: 04/02/2024]
Abstract
Nutrient enrichment often alters the biomass and species composition of plant communities, but the extent to which these changes are reversible after the cessation of nutrient addition is not well-understood. Our 22-year experiment (15 years for nutrient addition and 7 years for recovery), conducted in an alpine meadow, showed that soil nitrogen concentration and pH recovered rapidly after cessation of nutrient addition. However, this was not accompanied by a full recovery of plant community composition. An incomplete recovery in plant diversity and a directional shift in species composition from grass dominance to forb dominance were observed 7 years after the nutrient addition ended. Strikingy, the historically dominant sedges with low germination rate and slow growth rate and nitrogen-fixing legumes with low germination rate were unable to re-establish after nutrient addition ceased. By contrast, rapid recovery of aboveground biomass was observed after nutrient cessation as the increase in forb biomass only partially compensated for the decline in grass biomass. These results indicate that anthropogenic nutrient input can have long-lasting effects on the structure, but not the soil chemistry and plant biomass, of grassland communities, and that the recovery of soil chemical properties and plant biomass does not necessarily guarantee the restoration of plant community structure. These findings have important implications for the management and recovery of grassland communities, many of which are experiencing alterations in resource input.
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Affiliation(s)
- Zhongling Yang
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, China
| | - Junyong Li
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, China
- Dabieshan National Observation and Research Field Station of Forest Ecosystem, Henan University, Kaifeng, China
| | - Rui Xiao
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, China
| | - Chunhui Zhang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Xiaojun Ma
- School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Guozhen Du
- School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Guoyong Li
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, China
- Dabieshan National Observation and Research Field Station of Forest Ecosystem, Henan University, Kaifeng, China
| | - Lin Jiang
- School of Biology, Georgia Institute of Technology, Atlanta, Georgia, USA
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79
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Pontarp M, Runemark A, Friberg M, Opedal ØH, Persson AS, Wang L, Smith HG. Evolutionary plant-pollinator responses to anthropogenic land-use change: impacts on ecosystem services. Biol Rev Camb Philos Soc 2024; 99:372-389. [PMID: 37866400 DOI: 10.1111/brv.13026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 10/06/2023] [Accepted: 10/09/2023] [Indexed: 10/24/2023]
Abstract
Agricultural intensification at field and landscape scales, including increased use of agrochemicals and loss of semi-natural habitats, is a major driver of insect declines and other community changes. Efforts to understand and mitigate these effects have traditionally focused on ecological responses. At the same time, adaptations to pesticide use and habitat fragmentation in both insects and flowering plants show the potential for rapid evolution. Yet we lack an understanding of how such evolutionary responses may propagate within and between trophic levels with ensuing consequences for conservation of species and ecological functions in agroecosystems. Here, we review the literature on the consequences of agricultural intensification on plant and animal evolutionary responses and interactions. We present a novel conceptualization of evolutionary change induced by agricultural intensification at field and landscape scales and emphasize direct and indirect effects of rapid evolution on ecosystem services. We exemplify by focusing on economically and ecologically important interactions between plants and pollinators. We showcase available eco-evolutionary theory and plant-pollinator modelling that can improve predictions of how agricultural intensification affects interaction networks, and highlight available genetic and trait-focused methodological approaches. Specifically, we focus on how spatial genetic structure affects the probability of propagated responses, and how the structure of interaction networks modulates effects of evolutionary change in individual species. Thereby, we highlight how combined trait-based eco-evolutionary modelling, functionally explicit quantitative genetics, and genomic analyses may shed light on conditions where evolutionary responses impact important ecosystem services.
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Affiliation(s)
- Mikael Pontarp
- Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden
| | - Anna Runemark
- Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden
| | - Magne Friberg
- Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden
| | - Øystein H Opedal
- Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden
| | - Anna S Persson
- Centre for Environmental and Climate Science (CEC), Lund University, Sölvegatan 37, Lund, 22362, Sweden
| | - Lingzi Wang
- Centre for Environmental and Climate Science (CEC), Lund University, Sölvegatan 37, Lund, 22362, Sweden
- School of Mathematical Sciences, University of Southampton, 58 Salisbury Rd, Southampton, SO17 1BJ, UK
| | - Henrik G Smith
- Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden
- Centre for Environmental and Climate Science (CEC), Lund University, Sölvegatan 37, Lund, 22362, Sweden
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80
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Daniel C, Allan E, Saiz H, Godoy O. Fast-slow traits predict competition network structure and its response to resources and enemies. Ecol Lett 2024; 27:e14425. [PMID: 38577899 DOI: 10.1111/ele.14425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/12/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024]
Abstract
Plants interact in complex networks but how network structure depends on resources, natural enemies and species resource-use strategy remains poorly understood. Here, we quantified competition networks among 18 plants varying in fast-slow strategy, by testing how increased nutrient availability and reduced foliar pathogens affected intra- and inter-specific interactions. Our results show that nitrogen and pathogens altered several aspects of network structure, often in unexpected ways due to fast and slow growing species responding differently. Nitrogen addition increased competition asymmetry in slow growing networks, as expected, but decreased it in fast growing networks. Pathogen reduction made networks more even and less skewed because pathogens targeted weaker competitors. Surprisingly, pathogens and nitrogen dampened each other's effect. Our results show that plant growth strategy is key to understand how competition respond to resources and enemies, a prediction from classic theories which has rarely been tested by linking functional traits to competition networks.
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Affiliation(s)
- Caroline Daniel
- Institute for Plant Sciences (IPS), Bern University, Bern, Switzerland
| | - Eric Allan
- Institute for Plant Sciences (IPS), Bern University, Bern, Switzerland
- Centre for Development and Environment, University of Bern, Bern, Switzerland
| | - Hugo Saiz
- Institute for Plant Sciences (IPS), Bern University, Bern, Switzerland
- Departamento de Ciencias Agrarias y Medio Natural, Escuela Politécnica Superior, Instituto Universitario de Investigación en Ciencias Ambientales de Aragón (IUCA), Universidad de Zaragoza, Huesca, Spain
| | - Oscar Godoy
- Departamento de Biología, Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, Puerto Real, Spain
- Estación Biológica de Doñana, EBD-CSIC, Sevilla, Spain
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81
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Bison NN, Michaletz ST. Variation in leaf carbon economics, energy balance, and heat tolerance traits highlights differing timescales of adaptation and acclimation. THE NEW PHYTOLOGIST 2024. [PMID: 38532535 DOI: 10.1111/nph.19702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 03/06/2024] [Indexed: 03/28/2024]
Abstract
Multivariate leaf trait correlations are hypothesized to originate from natural selection on carbon economics traits that control lifetime leaf carbon gain, and energy balance traits governing leaf temperatures, physiological rates, and heat injury. However, it is unclear whether macroevolution of leaf traits primarily reflects selection for lifetime carbon gain or energy balance, and whether photosynthetic heat tolerance is coordinated along these axes. To evaluate these hypotheses, we measured carbon economics, energy balance, and photosynthetic heat tolerance traits for 177 species (157 families) in a common garden that minimizes co-variation of taxa and climate. We observed wide variation in carbon economics, energy balance, and heat tolerance traits. Carbon economics and energy balance (but not heat tolerance) traits were phylogenetically structured, suggesting macroevolution of leaf mass per area and leaf dry matter content reflects selection on carbon gain rather than energy balance. Carbon economics and energy balance traits varied along a common axis orthogonal to heat tolerance traits. Our results highlight a fundamental mismatch in the timescales over which morphological and heat tolerance traits respond to environmental variation. Whereas carbon economics and energy balance traits are constrained by species' evolutionary histories, photosynthetic heat tolerance traits are not and can acclimate readily to leaf microclimates.
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Affiliation(s)
- Nicole N Bison
- Department of Botany, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
- Biodiversity Research Centre, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Sean T Michaletz
- Department of Botany, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
- Biodiversity Research Centre, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
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82
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Xian L, Yang J, Muthui SW, Ochieng WA, Linda EL, Yu J. Which Has a Greater Impact on Plant Functional Traits: Plant Source or Environment? PLANTS (BASEL, SWITZERLAND) 2024; 13:903. [PMID: 38592931 PMCID: PMC10975183 DOI: 10.3390/plants13060903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/26/2024] [Accepted: 03/12/2024] [Indexed: 04/11/2024]
Abstract
The deterioration of water quality caused by human activities has triggered significant impacts on aquatic ecosystems. Submerged macrophytes play an important role in freshwater ecosystem restoration. Understanding the relative contributions of the sources and environment to the adaptive strategies of submerged macrophytes is crucial for freshwater restoration and protection. In this study, the perennial submerged macrophyte Myriophyllum spicatum was chosen as the experimental material due to its high adaptability to a variable environment. Through conducting reciprocal transplant experiments in two different artificial environments (oligotrophic and eutrophic), combined with trait network and redundancy analysis, the characteristics of the plant functional traits were examined. Furthermore, the adaptive strategies of M. spicatum to the environment were analyzed. The results revealed that the plant source mainly influenced the operational pattern among the traits, and the phenotypic traits were significantly affected by environmental factors. The plants cultured in high-nutrient water exhibited a higher plant height, longer leaves, and more branches and leaves. However, their physiological functions were not significantly affected by the environment. Therefore, the adaptation strategy of M. spicatum to the environment mainly relies on its phenotypic plasticity to ensure the moderate acquisition of resources in the environment, thereby ensuring the stable and efficient operation of plant physiological traits. The results not only offered compelling evidence on the adaptation strategies of M. spicatum in variable environments but also provided theoretical support for the conservation of biodiversity and sustainable development.
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Affiliation(s)
- Ling Xian
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (L.X.); (S.W.M.); (W.A.O.)
| | - Jiao Yang
- School of Life Sciences, Hubei University, Wuhan 430062, China;
| | - Samuel Wamburu Muthui
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (L.X.); (S.W.M.); (W.A.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
- University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Wyckliffe Ayoma Ochieng
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (L.X.); (S.W.M.); (W.A.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
- University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Elive Limunga Linda
- School of Resources and Environmental Science, Hubei University, Wuhan 430062, China;
| | - Junshuang Yu
- Changjiang Water Resources and Hydropower Development Group Co., Ltd., Wuhan 430010, China
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83
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Zhou Z, Su P, Yang J, Shi R, Ding X. Warming affects leaf light use efficiency and functional traits in alpine plants: evidence from a 4-year in-situ field experiment. FRONTIERS IN PLANT SCIENCE 2024; 15:1353762. [PMID: 38567127 PMCID: PMC10985207 DOI: 10.3389/fpls.2024.1353762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
Introduction Light use efficiency (LUE) is a crucial determinant of plant productivity, while leaf functional traits directly affect ecosystem functions. However, it remains unclear how climate warming affects LUE and leaf functional traits of dominant species in alpine meadows. Methods We conducted a 4-year in-situ field warming experiment to investigate the eco-physiological characteristics for a dominant species (Elymus nutans) and a common species (Potentilla anserina) on the Tibetan Plateau. The leaf traits, photosynthesis and fluorescence characteristics were measured, along with the soil physical-chemical properties associated with the two species. Results and discussions Experimental warming increased the leaf LUE, maximum photochemical efficiency, non-photochemical quenching, relative water content and specific leaf area for both species. However, there was a decrease in leaf and soil element content. Different species exhibit varying adaptability to warming. Increasing temperature significantly increased the photosynthetic rate, stomatal conductance, transpiration rate, total water content, and specific leaf volume of E. nutans; however, all these traits exhibited an opposite trend in P. anserina. Warming has a direct negative impact on leaf LUE and an indirectly enhances LUE through its effects on leaf traits. The impact of warming on plant photosynthetic capacity is primarily mediated by soil nutrients and leaf traits. These results indicate that the two different species employ distinct adaptive strategies in response to climate change, which are related to their species-specific variations. Such changes can confer an adaptive advantage for plant to cope with environmental change and potentially lead to alterations to ecosystem structure and functioning.
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Affiliation(s)
- Zijuan Zhou
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Peixi Su
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Jianping Yang
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Rui Shi
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Xinjing Ding
- School of Geography, Liaoning Normal University, Dalian, China
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Chelli S, Bricca A, Tsakalos JL, Andreetta A, Bonari G, Campetella G, Carnicelli S, Cervellini M, Puletti N, Wellstein C, Canullo R. Multiple drivers of functional diversity in temperate forest understories: Climate, soil, and forest structure effects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:170258. [PMID: 38246378 DOI: 10.1016/j.scitotenv.2024.170258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/16/2024] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
In macroecology, shifting from coarse- to local-scale explanatory factors is crucial for understanding how global change impacts functional diversity (FD). Plants possess diverse traits allowing them to differentially respond across a spectrum of environmental conditions. We aim to assess how macro- to microclimate, stand-scale measured soil properties, forest structure, and management type, influence forest understorey FD at the macroecological scale. Our study covers Italian forests, using thirteen predictors categorized into climate, soil, forest structure, and management. We analyzed five traits (i.e., specific leaf area, plant size, seed mass, belowground bud bank size, and clonal lateral spread) capturing independent functional dimensions to calculate the standardized effect size of functional diversity (SES-FD) for all traits (multi-trait) and for single traits. Multiple regression models were applied to assess the effect of predictors on SES-FD. We revealed that climate, soil, and forest structure significantly drive SES-FD of specific leaf area, plant size, seed mass, and bud bank. Forest management had a limited effect. However, differences emerged between herbaceous and woody growth forms of the understorey layer, with herbaceous species mainly responding to climate and soil features, while woody species were mainly affected by forest structure. Future warmer and more seasonal climate could reduce the diversity of resource economics, plant size, and persistence strategies of the forest understorey. Soil eutrophication and acidification may impact the diversity of regeneration strategies; canopy closure affects the diversity of above- and belowground traits, with a larger effect on woody species. Multifunctional approaches are vital to disentangle the effect of global changes on functional diversity since independent functional specialization axes are modulated by different drivers.
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Affiliation(s)
- Stefano Chelli
- School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Centro Interuniversitario per le Biodiversità Vegetale Big Data - PLANT DATA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
| | - Alessandro Bricca
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - James L Tsakalos
- School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Harry Butler Institute, Murdoch University, Murdoch, Perth, WA, Australia
| | - Anna Andreetta
- Department of Chemical and Geological Sciences, University of Cagliari, Italy
| | | | - Giandiego Campetella
- School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Centro Interuniversitario per le Biodiversità Vegetale Big Data - PLANT DATA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | | | - Marco Cervellini
- School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy
| | - Nicola Puletti
- CREA, Research Centre for Forestry and Wood, Arezzo, Italy
| | - Camilla Wellstein
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Roberto Canullo
- School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Centro Interuniversitario per le Biodiversità Vegetale Big Data - PLANT DATA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
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85
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Zhao Y, Mendenhall CD, Matthews TJ, Wang D, Li W, Liu X, Tang S, Han P, Wei G, Kang Y, Wu C, Wang R, Zeng D, Frishkoff LO, Si X. Land-use change interacts with island biogeography to alter bird community assembly. Proc Biol Sci 2024; 291:20232245. [PMID: 38471555 PMCID: PMC10932711 DOI: 10.1098/rspb.2023.2245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/29/2024] [Indexed: 03/14/2024] Open
Abstract
Anthropogenic activities have reshaped biodiversity on islands worldwide. However, it remains unclear how island attributes and land-use change interactively shape multiple facets of island biodiversity through community assembly processes. To answer this, we conducted bird surveys in various land-use types (mainly forest and farmland) using transects on 34 oceanic land-bridge islands in the largest archipelago of China. We found that bird species richness increased with island area and decreased with isolation, regardless of the intensity of land-use change. However, forest-dominated habitats exhibited lower richness than farmland-dominated habitats. Island bird assemblages generally comprised species that share more similar traits or evolutionary histories (i.e. functional and/or phylogenetic clustering) than expected if assemblages were randomly assembled. Contrary to our expectations, we observed that bird assemblages in forest-dominated habitats were more clustered on large and close islands, whereas assemblages in farmland-dominated habitats were more clustered on small islands. These contrasting results indicate that land-use change interacts with island biogeography to alter the community assembly of birds on inhabited islands. Our findings emphasize the importance of incorporating human-modified habitats when examining the community assembly of island biota, and further suggest that agricultural landscapes on large islands may play essential roles in protecting countryside island biodiversity.
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Affiliation(s)
- Yuhao Zhao
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | | | - Thomas J. Matthews
- GEES (School of Geography, Earth and Environmental Sciences) and Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK
- CE3C – Centre for Ecology, Evolution and Environmental Changes/Azorean Biodiversity Group / CHANGE – Global Change and Sustainability Institute and Universidade dos Açores – Faculty of Agricultural Sciences and Environment, PT-9700-042, Angra do Heroísmo, Açores, Portugal
| | - Duorun Wang
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Wande Li
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Xiangxu Liu
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Shupei Tang
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Peng Han
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Guangpeng Wei
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Yi Kang
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Chenxiao Wu
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Rui Wang
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Di Zeng
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Luke O. Frishkoff
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Xingfeng Si
- Zhejiang Zhoushan Island Ecosystem Observation and Research Station, Institute of Eco-Chongming, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
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Behroozian M, Pierce S, Ejtehadi H, Memariani F, Rafiee F, Joharchi MR. Relative contributions of taxonomic and functional diversity to the assembly of plant communities hosting endemic Dianthus species in a mountain steppe. Sci Rep 2024; 14:5471. [PMID: 38443610 PMCID: PMC10915155 DOI: 10.1038/s41598-024-56099-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/01/2024] [Indexed: 03/07/2024] Open
Abstract
Plant community assembly is the outcome of long-term evolutionary events (evident as taxonomic diversity; TD) and immediate adaptive fitness (functional diversity; FD); a balance expected to shift in favour of FD in 'harsh' habitats under intense selection pressures. We compared TD and FD responses along climatic and edaphic gradients for communities of two species (Dianthus pseudocrinitus and D. polylepis) endemic to the montane steppes of the Khorassan-Kopet Dagh floristic province, NE Iran. 75 plots at 15 sites were used to relate TD and FD to environmental gradients. In general, greater TD was associated with variation in soil factors (potassium, lime, organic matter contents), whereas FD was constrained by aridity (drought adaptation). Crucially, even plant communities hosting different subspecies of D. polylepis responded differently to aridity: D. polylepis subsp. binaludensis communities included a variety of broadly stress-tolerant taxa with no clear environmental response, but TD of D. polylepis subsp. polylepis communities was directly related to precipitation, with consistently low FD reflecting a few highly specialized stress-tolerators. Integrating taxonomic and functional diversity metrics is essential to understand the communities hosting even extremely closely related taxa, which respond idiosyncratically to climate and soil gradients.
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Affiliation(s)
| | - Simon Pierce
- Department of Agricultural and Environmental Sciences (DiSAA), University of Milan, Via G. Celoria 2, 20133, Milan, Italy
| | - Hamid Ejtehadi
- Quantitative Plant Ecology and Biodiversity Research Laboratory, Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Farshid Memariani
- Herbarium FUMH, Ferdowsi University of Mashhad, Mashhad, Iran
- Department of Range and Watershed Management, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Fahime Rafiee
- Quantitative Plant Ecology and Biodiversity Research Laboratory, Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
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87
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de Alencar AS, da F Lira C, Rosado BHP, de F Mansano V. Twenty-five years of Open-Top Chambers in tropical environments: where, how, and what are we looking at regarding flora response to climate change? PLANTA 2024; 259:82. [PMID: 38438633 DOI: 10.1007/s00425-024-04356-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/31/2024] [Indexed: 03/06/2024]
Abstract
MAIN CONCLUSION Open-Top Chambers should be more used in tropical ecosystems to study climate change effects in plants as they are still insufficient to extract plant response patterns in these ecosystems. Understanding flora response to climate change (CC) is critical for predicting future ecosystem dynamics. Open-Top Chambers (OTCs) have been widely used to study the effects of CC on plants and are very popular in temperate ecosystems but are still underused in tropical regions. In this systematic review, we aimed to discuss the use of OTCs in the study of the effects of different agents of climate change on tropical flora by presenting scientometric data, discussing the technical aspects of its use and enumerating some observations on plant response patterns to climatic alterations in the tropics. Our analysis indicated that the bottleneck in choosing an OTC shape is not strictly related to its purpose or the type of parameter modulated; instead, passive or active approaches seem to be a more sensitive point. The common critical point in using this technique in warmer regions is overheating and decoupling, but it can be overcome with simple adaptations and extra features. The most frequently parameter modulated was CO2, followed by O3 and temperature. The plant families with more representatives in the studies analyzed were Fabaceae, Myrtaceae, and Poaceae, and the most represented biome was tropical and subtropical moist broadleaf forests. In conclusion, OTCs are a valuable and feasible tool to study CC effects on various tropical ecosystems, regardless of structure, active/passive approach, or other technical features. One of the primary advantages of this methodology is its applicability for in situ use, eliminating the need for plant transplantation. We encourage studies using OTC experimental design for plant conservation in the tropics.
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Affiliation(s)
- Amanda S de Alencar
- Rio de Janeiro Botanical Garden Research Institute, Rua Pacheco Leão, 915, Jardim Botânico, Rio de Janeiro, RJ, 22460-030, Brazil.
| | - Catarina da F Lira
- Rio de Janeiro Botanical Garden Research Institute, Rua Pacheco Leão, 915, Jardim Botânico, Rio de Janeiro, RJ, 22460-030, Brazil
| | - Bruno Henrique P Rosado
- Department of Ecology, IBRAG, Rio de Janeiro State University (UERJ), Rio de Janeiro, 20550-013, Brazil
| | - Vidal de F Mansano
- Rio de Janeiro Botanical Garden Research Institute, Rua Pacheco Leão, 915, Jardim Botânico, Rio de Janeiro, RJ, 22460-030, Brazil
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88
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Padullés Cubino J, Lenoir J, Li D, Montaño-Centellas FA, Retana J, Baeten L, Bernhardt-Römermann M, Chudomelová M, Closset D, Decocq G, De Frenne P, Diekmann M, Dirnböck T, Durak T, Hédl R, Heinken T, Jaroszewicz B, Kopecký M, Macek M, Máliš F, Naaf T, Orczewska A, Petřík P, Pielech R, Reczyńska K, Schmidt W, Standovár T, Świerkosz K, Teleki B, Verheyen K, Vild O, Waller D, Wulf M, Chytrý M. Evaluating plant lineage losses and gains in temperate forest understories: a phylogenetic perspective on climate change and nitrogen deposition. THE NEW PHYTOLOGIST 2024; 241:2287-2299. [PMID: 38126264 DOI: 10.1111/nph.19477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 11/25/2023] [Indexed: 12/23/2023]
Abstract
Global change has accelerated local species extinctions and colonizations, often resulting in losses and gains of evolutionary lineages with unique features. Do these losses and gains occur randomly across the phylogeny? We quantified: temporal changes in plant phylogenetic diversity (PD); and the phylogenetic relatedness (PR) of lost and gained species in 2672 semi-permanent vegetation plots in European temperate forest understories resurveyed over an average period of 40 yr. Controlling for differences in species richness, PD increased slightly over time and across plots. Moreover, lost species within plots exhibited a higher degree of PR than gained species. This implies that gained species originated from a more diverse set of evolutionary lineages than lost species. Certain lineages also lost and gained more species than expected by chance, with Ericaceae, Fabaceae, and Orchidaceae experiencing losses and Amaranthaceae, Cyperaceae, and Rosaceae showing gains. Species losses and gains displayed no significant phylogenetic signal in response to changes in macroclimatic conditions and nitrogen deposition. As anthropogenic global change intensifies, temperate forest understories experience losses and gains in specific phylogenetic branches and ecological strategies, while the overall mean PD remains relatively stable.
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Affiliation(s)
- Josep Padullés Cubino
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Spain
- Centre for Ecological Research and Forestry Applications (CREAF), Cerdanyola del Vallès, 08193, Spain
| | - Jonathan Lenoir
- UMR CNRS 7058 'Ecologie et Dynamique des Systèmes Anthropisés' (EDYSAN), Université de Picardie Jules Verne, Amiens, 80037, France
| | - Daijiang Li
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, 70803, USA
- Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, 70808, USA
| | - Flavia A Montaño-Centellas
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, 70803, USA
- Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, 70808, USA
| | - Javier Retana
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Spain
- Centre for Ecological Research and Forestry Applications (CREAF), Cerdanyola del Vallès, 08193, Spain
| | - Lander Baeten
- Forest & Nature Lab, Ghent University, Melle-Gontrode, B-9090, Belgium
| | - Markus Bernhardt-Römermann
- Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, 07743, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, 04103, Germany
| | - Markéta Chudomelová
- Department of Vegetation Ecology, Institute of Botany, Czech Academy of Sciences, Brno, 60200, Czech Republic
| | - Déborah Closset
- UMR CNRS 7058 'Ecologie et Dynamique des Systèmes Anthropisés' (EDYSAN), Université de Picardie Jules Verne, Amiens, 80037, France
| | - Guillaume Decocq
- UMR CNRS 7058 'Ecologie et Dynamique des Systèmes Anthropisés' (EDYSAN), Université de Picardie Jules Verne, Amiens, 80037, France
| | - Pieter De Frenne
- Forest & Nature Lab, Ghent University, Melle-Gontrode, B-9090, Belgium
| | - Martin Diekmann
- Institute of Ecology, University of Bremen, Bremen, 28334, Germany
| | - Thomas Dirnböck
- Environment Agency Austria, Ecosystem Research and Environmental Information Management, Vienna, 1090, Austria
| | - Tomasz Durak
- Institute of Biology, University of Rzeszów, Rzeszów, 35601, Poland
| | - Radim Hédl
- Department of Vegetation Ecology, Institute of Botany, Czech Academy of Sciences, Brno, 60200, Czech Republic
- Department of Botany, Faculty of Science, Palacký University in Olomouc, Olomouc, 78371, Czech Republic
| | - Thilo Heinken
- General Botany, Institute for Biochemistry and Biology, University of Potsdam, Potsdam, 14469, Germany
| | - Bogdan Jaroszewicz
- Białowieża Geobotanical Station, Faculty of Biology, University of Warsaw, Białowieża, 17230, Poland
| | - Martin Kopecký
- Institute of Botany of the Czech Academy of Sciences, Průhonice, 25243, Czech Republic
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha, 16521, Czech Republic
| | - Martin Macek
- Institute of Botany of the Czech Academy of Sciences, Průhonice, 25243, Czech Republic
| | - František Máliš
- Faculty of Forestry, Technical University in Zvolen, Zvolen, 96001, Slovakia
- National Forest Centre, Zvolen, 96001, Slovakia
| | - Tobias Naaf
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, 15374, Germany
| | - Anna Orczewska
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, 40007, Poland
| | - Petr Petřík
- Institute of Botany of the Czech Academy of Sciences, Průhonice, 25243, Czech Republic
- Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha, 16500, Czech Republic
| | - Remigiusz Pielech
- Institute of Botany, Faculty of Biology, Jagiellonian University in Kraków, Kraków, 30387, Poland
| | - Kamila Reczyńska
- Department of Botany, Faculty of Biological Sciences, University of Wrocław, Wrocław, 50328, Poland
| | - Wolfgang Schmidt
- Department of Silviculture and Forest Ecology of the Temperate Zones, Georg-August-University Göttingen, Göttingen, 37077, Germany
| | - Tibor Standovár
- Department of Plant Systematics, Ecology and Theoretical Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, H-1117, Hungary
| | - Krzysztof Świerkosz
- Museum of Natural History, Faculty of Biological Sciences, University of Wrocław, Wrocław, 50335, Poland
| | - Balázs Teleki
- HUN-REN-UD Biodiversity and Ecosystem Services Research Group, Debrecen, 4032, Hungary
| | - Kris Verheyen
- Forest & Nature Lab, Ghent University, Melle-Gontrode, B-9090, Belgium
| | - Ondřej Vild
- Institute of Botany of the Czech Academy of Sciences, Průhonice, 25243, Czech Republic
| | - Donald Waller
- Department of Botany, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Monika Wulf
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, 15374, Germany
| | - Milan Chytrý
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, 61137, Czech Republic
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89
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Mueller KE, Kray JA, Blumenthal DM. Coordination of leaf, root, and seed traits shows the importance of whole plant economics in two semiarid grasslands. THE NEW PHYTOLOGIST 2024; 241:2410-2422. [PMID: 38214451 DOI: 10.1111/nph.19529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/18/2023] [Indexed: 01/13/2024]
Abstract
Uncertainty persists within trait-based ecology, partly because few studies assess multiple axes of functional variation and their effect on plant performance. For 55 species from two semiarid grasslands, we quantified: (1) covariation between economic traits of leaves and absorptive roots, (2) covariation among economic traits, plant height, leaf size, and seed mass, and (3) relationships between these traits and species' abundance. Pairs of analogous leaf and root traits were at least weakly positively correlated (e.g. specific leaf area (SLA) and specific root length (SRL)). Two pairs of such traits, N content and DMC of leaves and roots, were at least moderately correlated (r > 0.5) whether species were grouped by site, taxonomic group and growth form, or life history. Root diameter was positively correlated with seed mass for all groups of species except annuals and monocots. Species with higher leaf dry matter content (LDMC) tended to be more abundant (r = 0.63). Annuals with larger seeds were more abundant (r = 0.69). Compared with global-scale syntheses with many observations from mesic ecosystems, we observed stronger correlations between analogous leaf and root traits, weaker correlations between SLA and leaf N, and stronger correlations between SRL and root N. In dry grasslands, plant persistence may require coordination of above- and belowground traits, and dense tissues may facilitate dominance.
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Affiliation(s)
- Kevin E Mueller
- Department of Biological, Geological, and Environmental Sciences, Cleveland State University, Cleveland, OH, 44115, USA
| | - Julie A Kray
- United States Department of Agriculture, Agricultural Research Service, Rangeland Resources & Systems Research, Fort Collins, CO, 80526, USA
| | - Dana M Blumenthal
- United States Department of Agriculture, Agricultural Research Service, Rangeland Resources & Systems Research, Fort Collins, CO, 80526, USA
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90
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Tüfekcioğlu İ, Tavşanoğlu Ç. Growth form, regeneration mode, and vegetation type explain leaf trait variability at the species and community levels in Mediterranean woody vegetation. Ecol Evol 2024; 14:e11145. [PMID: 38469041 PMCID: PMC10927360 DOI: 10.1002/ece3.11145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 01/12/2024] [Accepted: 03/01/2024] [Indexed: 03/13/2024] Open
Abstract
Leaf traits are good indicators of ecosystem functioning and plant adaptations to environmental conditions. We examined whether leaf trait variability at species and community levels in Mediterranean woody vegetation is explained by growth form, regeneration mode, and vegetation type. We studied several plant communities across five vegetation types - semi-closed forest, open forest, closed shrubland, open shrubland, and scrubland - in southwestern Anatolia, Türkiye. Using linear mixed models, community-weighted trait means, and principal component analysis, we tested how much variability in three leaf traits (specific leaf area, leaf thickness, and leaf area) is accounted for species, growth form, regeneration mode, and vegetation type. Despite a large amount of leaf trait variability both within- and among-species existed, functional groups still accounted for a significant part of this variability. Resprouters had higher SLA and leaf area and lower leaf thickness than non-resprouters. However, further functional separation in regeneration mode, by considering the propagule-persistence trait and the seed bank locality, explained leaf trait variability better than only resprouting ability. Although no consistent pattern was observed in three leaf traits in the growth form, we found evidence for the difference in SLA and leaf thickness between shrubs and large shrubs, and subshrubs had smaller leaves than other growth forms. Vegetation type also accounted for a substantial amount of leaf trait variability. Specifically, plant communities in closed habitats had larger leaf area than open ones, and those in scrublands had higher SLA, lower leaf thickness, and lower leaf area than other vegetation types. Climate and phylogeny had limited contribution to the results obtained, with the exception of a significant phylogenetic effect in explaining the differences in SLA between resprouters and non-resprouters. Our results suggest that multiple drivers are responsible for shaping plant trait variability in Mediterranean plant communities, including growth form, regeneration mode, and vegetation type.
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Affiliation(s)
- İrem Tüfekcioğlu
- Institute of ScienceHacettepe UniversityAnkaraTurkey
- Division of Ecology, Department of BiologyHacettepe UniversityAnkaraTurkey
| | - Çağatay Tavşanoğlu
- Division of Ecology, Department of BiologyHacettepe UniversityAnkaraTurkey
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91
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Scheifes DJP, Te Beest M, Olde Venterink H, Jansen A, Kinsbergen DTP, Wassen MJ. The plant root economics space in relation to nutrient limitation in Eurasian herbaceous plant communities. Ecol Lett 2024; 27:e14402. [PMID: 38511333 DOI: 10.1111/ele.14402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Plant species occupy distinct niches along a nitrogen-to-phosphorus (N:P) gradient, yet there is no general framework for belowground nutrient acquisition traits in relation to N or P limitation. We retrieved several belowground traits from databases, placed them in the "root economics space" framework, and linked these to a dataset of 991 plots in Eurasian herbaceous plant communities, containing plant species composition, aboveground community biomass and tissue N and P concentrations. Our results support that under increasing N:P ratio, belowground nutrient acquisition strategies shift from "fast" to "slow" and from "do-it-yourself" to "outsourcing", with alternative "do-it-yourself" to "outsourcing" strategies at both ends of the spectrum. Species' mycorrhizal capacity patterns conflicted with root economics space predictions based on root diameter, suggesting evolutionary development of alternative strategies under P limitation. Further insight into belowground strategies along nutrient stoichiometry is crucial for understanding the high abundance of threatened plant species under P limitation.
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Affiliation(s)
- Daniil J P Scheifes
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
| | - Mariska Te Beest
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
- Centre for African Conservation Ecology, Nelson Mandela University, Gqeberha, South Africa
| | | | - André Jansen
- Jansen-de Hullu Landschapsecologie en Circulair, Zutphen, The Netherlands
| | - Daan T P Kinsbergen
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Martin J Wassen
- Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
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92
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Puglielli G, Bricca A, Chelli S, Petruzzellis F, Acosta ATR, Bacaro G, Beccari E, Bernardo L, Bonari G, Bolpagni R, Boscutti F, Calvia G, Campetella G, Cancellieri L, Canullo R, Carbognani M, Carboni M, Carranza ML, Castellani MB, Ciccarelli D, Coppi A, Cutini M, Dalla Vecchia A, Dalle Fratte M, de Francesco MC, De Frenne P, De Sanctis M, de Simone L, Di Cecco V, Fanelli G, Farris E, Ferrara A, Fenu G, Filibeck G, Gasperini C, Gargano D, Kindermann E, La Bella G, Lastrucci L, Lazzaro L, Maccherini S, Marignani M, Mugnai M, Naselli-Flores L, Passalacqua NG, Pavanetto N, Petraglia A, Rota F, Santoianni LA, Schettino A, Selvi F, Stanisci A, Trotta G, Vangansbeke P, Varricchione M, Vuerich M, Wellstein C, Tordoni E. Intraspecific variability of leaf form and function across habitat types. Ecol Lett 2024; 27:e14396. [PMID: 38456670 DOI: 10.1111/ele.14396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/22/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
Trait-based ecology has already revealed main independent axes of trait variation defining trait spaces that summarize plant adaptive strategies, but often ignoring intraspecific trait variability (ITV). By using empirical ITV-level data for two independent dimensions of leaf form and function and 167 species across five habitat types (coastal dunes, forests, grasslands, heathlands, wetlands) in the Italian peninsula, we found that ITV: (i) rotated the axes of trait variation that define the trait space; (ii) increased the variance explained by these axes and (iii) affected the functional structure of the target trait space. However, the magnitude of these effects was rather small and depended on the trait and habitat type. Our results reinforce the idea that ITV is context-dependent, calling for careful extrapolations of ITV patterns across traits and spatial scales. Importantly, our study provides a framework that can be used to start integrating ITV into trait space analyses.
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Grants
- Ente Parco Nazionale del Pollino (Rotonda, Italy) in the frame of the project "Un laboratorio naturale permanente nel Parco Nazionale del Pollino"
- National Biodiversity Future Center NBFC, CUP J33C22001190001
- European Union - NextGenerationEU within the framework of National Biodiversity Future Center (Spoke 4, Activity 4)
- NBFC to the University of Florence, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033
- NBFC to University of Roma Tre/Department of Science, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033. Grant of Excellence Departments 2018- 2022, MIUR Italy
- NBFC to University of Molise/Department of Bioscience and Territory, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033, MIUR Italy
- PID2021-122214NA-I00 MCIN/AEI/ 10.13039/501100011033 and by FEDER "ESF Investing in your future"
- Grant of Excellence Departments 2018- 2022, MIUR Italy
- G.Bo. and SM acknowledge the support of NBFC to University of Siena, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, 'Dalla ricerca all', Investimento 1.4, Project CN00000033
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Affiliation(s)
- Giacomo Puglielli
- Departamento de Biología Vegetal y Ecología, Facultad de Biología, Universidad de Sevilla, Sevilla, Spain
| | - Alessandro Bricca
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Stefano Chelli
- School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, Italy
| | | | | | - Giovanni Bacaro
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Eleonora Beccari
- Institute of Ecology and Earth Science, University of Tartu, Tartu, Estonia
| | - Liliana Bernardo
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Gianmaria Bonari
- Department of Life Sciences, University of Siena, Siena, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Rossano Bolpagni
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Francesco Boscutti
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Giacomo Calvia
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Giandiego Campetella
- School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Laura Cancellieri
- Department of Agriculture and Forest Sciences, University of Tuscia, Viterbo, Italy
| | - Roberto Canullo
- School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, Italy
| | | | - Marta Carboni
- Department of Sciences, University of Roma Tre, Rome, Italy
| | - Maria Laura Carranza
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | | | | | - Andrea Coppi
- Department of Biology, University of Florence, Florence, Italy
| | | | - Alice Dalla Vecchia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Michele Dalle Fratte
- Department of Biotechnology and Life Science, University of Insubria, Varese, Italy
| | - Maria Carla de Francesco
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Pieter De Frenne
- Forest & Nature Lab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Melle, Belgium
| | - Michele De Sanctis
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
| | | | - Valter Di Cecco
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Giuliano Fanelli
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
| | - Emmanuele Farris
- Department of Chemical, Physical, Mathematical and Natural Sciences, University of Sassari, Sassari, Italy
| | - Arianna Ferrara
- BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Giuseppe Fenu
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
| | - Goffredo Filibeck
- Department of Agriculture and Forest Sciences, University of Tuscia, Viterbo, Italy
| | - Cristina Gasperini
- Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
| | - Domenico Gargano
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Elisabeth Kindermann
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Greta La Bella
- Department of Sciences, University of Roma Tre, Rome, Italy
| | | | - Lorenzo Lazzaro
- Department of Biology, University of Florence, Florence, Italy
| | - Simona Maccherini
- Department of Life Sciences, University of Siena, Siena, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Michela Marignani
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
| | - Michele Mugnai
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biology, University of Florence, Florence, Italy
| | - Luigi Naselli-Flores
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, Palermo, Italy
| | | | - Nicola Pavanetto
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Alessandro Petraglia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Francesco Rota
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | | | | | - Federico Selvi
- Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
| | - Angela Stanisci
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Giacomo Trotta
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Pieter Vangansbeke
- Forest & Nature Lab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Melle, Belgium
| | - Marco Varricchione
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Marco Vuerich
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Camilla Wellstein
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Enrico Tordoni
- Institute of Ecology and Earth Science, University of Tartu, Tartu, Estonia
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Halbritter AH, Vandvik V, Cotner SH, Farfan-Rios W, Maitner BS, Michaletz ST, Oliveras Menor I, Telford RJ, Ccahuana A, Cruz R, Sallo-Bravo J, Santos-Andrade PE, Vilca-Bustamante LL, Castorena M, Chacón-Labella J, Christiansen CT, Duran SM, Egelkraut DD, Gya R, Haugum SV, Seltzer L, Silman MR, Strydom T, Spiegel MP, Barros A, Birkeli K, Boakye M, Chiappero F, Chmurzynski A, Garen JC, Gaudard J, Gauthier TLJ, Geange SR, Gonzales FN, Henn JJ, Hošková K, Isaksen A, Jessup LH, Johnson W, Kusch E, Lepley K, Lift M, Martyn TE, Muñoz Mazon M, Middleton SL, Quinteros Casaverde NL, Navarro J, Zepeda V, Ocampo-Zuleta K, Palomino-Cardenas AC, Pastor Ploskonka S, Pierfederici ME, Pinelli V, Rickenback J, Roos RE, Rui HS, Sanchez Diaz E, Sánchez-Tapia A, Smith A, Urquiaga-Flores E, von Oppen J, Enquist BJ. Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú. Sci Data 2024; 11:225. [PMID: 38383609 PMCID: PMC10881584 DOI: 10.1038/s41597-024-02980-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 01/16/2024] [Indexed: 02/23/2024] Open
Abstract
Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.
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Affiliation(s)
- Aud H Halbritter
- Department of Biological Sciences, University of Bergen, Bergen, Norway.
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.
| | - Vigdis Vandvik
- Department of Biological Sciences, University of Bergen, Bergen, Norway.
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.
| | - Sehoya H Cotner
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - William Farfan-Rios
- Department of Biology and Sabin Center for Environment and Sustainability, Wake Forest University, Winston-Salem, NC, USA
| | - Brian S Maitner
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Sean T Michaletz
- Department of Botany and Biodiversity Research Centre, The University of British Columbia, Vancouver, Canada
| | - Imma Oliveras Menor
- AMAP, Université de Montpellier, Montpellier, France
- School of Geography and the Environment, University of Oxford, Oxford, United Kingdom
| | - Richard J Telford
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - Adam Ccahuana
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú
| | - Rudi Cruz
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | - Matiss Castorena
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Julia Chacón-Labella
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | | | - Sandra M Duran
- Department of Forest and Rangeland Stewardship, Fort Collins, CO, USA
- Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO, USA
| | - Dagmar D Egelkraut
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - Ragnhild Gya
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - Siri Vatsø Haugum
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - Lorah Seltzer
- Department of Botany and Biodiversity Research Centre, The University of British Columbia, Vancouver, Canada
| | - Miles R Silman
- Department of Biology and Sabin Center for Environment and Sustainability, Wake Forest University, Winston-Salem, NC, USA
| | - Tanya Strydom
- Département de sciences biologiques, Université de Montréal, Montréal, Canada
| | - Marcus P Spiegel
- School of Geography and the Environment, University of Oxford, Oxford, United Kingdom
| | - Agustina Barros
- Instituto Argentino de Nivología y Glaciología y Ciencias Ambientales, CONICET y Universidad Nacional de Cuyo, Mendoza, Argentina
- School of Geography, Planning, and Spatial Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Kristine Birkeli
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - Mickey Boakye
- Department of Environmental Science Policy and Management, University of California, Berkeley, CA, USA
| | - Fernanda Chiappero
- Instituto Argentino de Nivología y Glaciología y Ciencias Ambientales, CONICET y Universidad Nacional de Cuyo, Mendoza, Argentina
| | - Adam Chmurzynski
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Josef C Garen
- Department of Botany and Biodiversity Research Centre, The University of British Columbia, Vancouver, Canada
| | - Joseph Gaudard
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - Tasha-Leigh J Gauthier
- Department of Geography & Environmental Management, University of Waterloo, Waterloo Ontario, Canada
| | - Sonya R Geange
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - Fiorella N Gonzales
- Departamento de Ecología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jonathan J Henn
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, USA
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Kristýna Hošková
- Department of Botany, Charles University in Prague, Praha, Czech Republic
| | - Anders Isaksen
- Department of Biosciences, University of Oslo, Oslo, Norway
| | - Laura H Jessup
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | | | - Erik Kusch
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - Kai Lepley
- School of Geography, Development & Environment, University of Arizona, Tucson, AZ, USA
| | - Mackenzie Lift
- School of Biological Sciences, University of Queensland, Queensland, Australia
| | - Trace E Martyn
- School of Biological Sciences, University of Queensland, Queensland, Australia
| | - Miguel Muñoz Mazon
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Sara L Middleton
- Department of Biology, University of Oxford, Oxford, United Kingdom
| | | | - Jocelyn Navarro
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Verónica Zepeda
- Departamento de Ecología y Recursos Naturales, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Korina Ocampo-Zuleta
- Programa de Doctorado en Ciencias mención Ecología y Evolución, Universidad Austral de Chile, Santiago, Chile
| | | | - Samuel Pastor Ploskonka
- Department of Earth and Environmental Sciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Maria Elisa Pierfederici
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Verónica Pinelli
- Departamento de Ecología y Gestión Ambiental, Universidad de la República, Maldonado, Uruguay
| | - Jess Rickenback
- School of Geosciences, University of Edinburgh, Edinburgh, Scotland
- Tropical Diversity, Royal Botanic Garden Edinburgh, Edinburgh, UK
| | - Ruben E Roos
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
- Norwegian Institute for Nature Research, Oslo, Norway
| | - Hilde Stokland Rui
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Eugenia Sanchez Diaz
- Instituto Argentino de Nivología y Glaciología y Ciencias Ambientales, CONICET y Universidad Nacional de Cuyo, Mendoza, Argentina
| | - Andrea Sánchez-Tapia
- Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Alyssa Smith
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Erickson Urquiaga-Flores
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
- Pontificia Universidad Católica del Peru, Lima, Perú
| | | | - Brian J Enquist
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
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94
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Li Y, Xin Z, Yao B, Duan R, Dong X, Bao Y, Li X, Ma Y, Huang Y, Luo F, Li X, Wei X, Jiang ZR, Lozada-Gobilard S, Zhu J. Density affects plant size in the Gobi Desert. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169401. [PMID: 38114032 DOI: 10.1016/j.scitotenv.2023.169401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Plant size is a crucial functional trait with substantial implications in agronomy and forestry. Understanding the factors influencing plant size is essential for ecosystem management and restoration efforts. Various environmental factors and plant density play significant roles in plant size. However, how plant size responds to mean annual precipitation (MAP), mean annual temperature (MAT), and density in the arid areas remains incomplete. To address this knowledge gap, we conducted comprehensive vegetation surveys in the Gobi Desert in northwestern China with a MAP below 250 mm. We also collected climate data to disentangle the respective influences of climate and density on the community-weighted plant height, crown length, and crown width. Our observations revealed that the community-weighted mean plant height, crown length, and width demonstrated a positive association with MAT but negative relationships with both MAP and density. These patterns can be attributed to the predominance of shrubs over herbs in arid regions, as shrubs tend to be larger in size. The proportion of shrubs increases with MAT, while it decreases with MAP and density, resulting in higher plant height and larger crown dimensions. Although both MAP and MAT affect plant size in the Gobi Desert, our findings highlight the stronger role of plant density in regulating plant size, indicating that the surrounding plant community and competition among individuals are crucial drivers of plant size patterns. Our findings provide valuable guidance for nature-based solutions for vegetation restoration and ecosystem management, highlighting the importance of considering plant density as a key factor when designing and implementing restoration strategies in arid areas.
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Affiliation(s)
- Yonghua Li
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Zhiming Xin
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Bin Yao
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Ruibing Duan
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xue Dong
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yanfeng Bao
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Xinle Li
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yuan Ma
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yaru Huang
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Fengmin Luo
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xing Li
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xu Wei
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Zi-Ru Jiang
- Laboratory of Forest Protection, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 4648601, Japan
| | | | - Jinlei Zhu
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China.
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95
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Lu N, Yang H, Zhou X, Tan Y, Cai W, Jiang Q, Lu Y, Chen Y, He H, Wang S. The loss of plant functional groups increased arthropod diversity in an alpine meadow on the Tibetan Plateau. FRONTIERS IN PLANT SCIENCE 2024; 15:1305768. [PMID: 38434435 PMCID: PMC10904612 DOI: 10.3389/fpls.2024.1305768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/02/2024] [Indexed: 03/05/2024]
Abstract
Plant species loss, driven by global changes and human activities, can have cascading effects on other trophic levels, such as arthropods, and alter the multitrophic structure of ecosystems. While the relationship between plant diversity and arthropod communities has been well-documented, few studies have explored the effects of species composition variation or plant functional groups. In this study, we conducted a long-term plant removal experiment to investigate the impact of plant functional group loss (specifically targeting tall grasses and sedges, as well as tall or short forbs) on arthropod diversity and their functional groups. Our findings revealed that the removal of plant functional groups resulted in increased arthropod richness, abundance and the exponential of Shannon entropy, contrary to the commonly observed positive correlation between plant diversity and consumer diversity. Furthermore, the removal of different plant groups had varying impacts on arthropod trophic levels. The removal of forbs had a more pronounced impact on herbivores compared to graminoids, but this impact did not consistently cascade to higher-trophic arthropods. Notably, the removal of short forbs had a more significant impact on predators, as evidenced by the increased richness, abundance, the exponential of Shannon entropy, inverse Simpson index and inverse Berger-Parker index of carnivores and abundance of omnivores, likely attributable to distinct underlying mechanisms. Our results highlight the importance of plant species identity in shaping arthropod communities in alpine grasslands. This study emphasizes the crucial role of high plant species diversity in controlling arthropods in natural grasslands, particularly in the context of plant diversity loss caused by global changes and human activities.
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Affiliation(s)
- Ningna Lu
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Hainian Yang
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Xianhui Zhou
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
| | - Yun Tan
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Wei Cai
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Qin Jiang
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Ying Lu
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Yangyang Chen
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Haocheng He
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Sheng Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
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96
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Jin X, Zhu J, Wei X, Xiao Q, Xiao J, Jiang L, Xu D, Shen C, Liu J, He Z. Adaptation Strategies of Seedling Root Response to Nitrogen and Phosphorus Addition. PLANTS (BASEL, SWITZERLAND) 2024; 13:536. [PMID: 38498541 PMCID: PMC10892864 DOI: 10.3390/plants13040536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 03/20/2024]
Abstract
The escalation of global nitrogen deposition levels has heightened the inhibitory impact of phosphorus limitation on plant growth in subtropical forests. Plant roots area particularly sensitive tissue to nitrogen and phosphorus elements. Changes in the morphological characteristics of plant roots signify alterations in adaptive strategies. However, our understanding of resource-use strategies of roots in this environment remains limited. In this study, we conducted a 10-month experiment at the Castanopsis kawakamii Nature Reserve to evaluate the response of traits of seedling roots (such as specific root length, average diameter, nitrogen content, and phosphorus content) to nitrogen and phosphorus addition. The aim was to reveal the adaptation strategies of roots in different nitrogen and phosphorus addition concentrations. The results showed that: (1) The single phosphorus and nitrogen-phosphorus interaction addition increased the specific root length, surface area, and root phosphorus content. In addition, single nitrogen addition promotes an increase in the average root diameter. (2) Non-nitrogen phosphorus addition and single nitrogen addition tended to adopt a conservative resource-use strategy to maintain growth under low phosphorus conditions. (3) Under the single phosphorus addition and interactive addition of phosphorus and nitrogen, the roots adopted an acquisitive resource-use strategy to obtain more available phosphorus resources. Accordingly, the adaptation strategy of seedling roots can be regulated by adding appropriate concentrations of nitrogen or phosphorus, thereby promoting the natural regeneration of subtropical forests.
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Affiliation(s)
- Xing Jin
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Jing Zhu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Xin Wei
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Qianru Xiao
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Jingyu Xiao
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Lan Jiang
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Daowei Xu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Caixia Shen
- School of Economics and Management, Sanming University, Sanming 365000, China;
| | - Jinfu Liu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
| | - Zhongsheng He
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (X.J.); (J.Z.); (X.W.); (Q.X.); (J.X.); (L.J.); (D.X.)
- Key Laboratory of Ecology and Resource Statistics in Fujian Province, Fuzhou 350002, China
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Vynokurov D, Borovyk D, Chusova O, Davydova A, Davydov D, Danihelka J, Dembicz I, Iemelianova S, Kolomiiets G, Moysiyenko I, Shapoval V, Shynder O, Skobel N, Buzhdygan O, Kuzemko A. Ukrainian Plant Trait Database: UkrTrait v. 1.0. Biodivers Data J 2024; 12:e118128. [PMID: 38384789 PMCID: PMC10880025 DOI: 10.3897/bdj.12.e118128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/07/2024] [Indexed: 02/23/2024] Open
Abstract
Background Considering the growing demand for plant trait data and taking into account the lack of trait data from Eastern Europe, especially from its steppic region, we launched a new Ukrainian Plant Trait Database (UkrTrait v. 1.0) aiming at collecting all the available plant trait data from Ukraine.To facilitate further use of this database, we linked the trait terminology to the TRY Plant Trait Database, Thesaurus of Plant Characteristics (TOP) and Plant Trait Ontology (TO). For taxa names, we provide the crosswalks between the Ukrainian checklist and international sources, i.e. GBIF Backbone Taxonomy, World Checklist of Vascular Plants (World Checklist of Vascular Plants (World Checklist of Vascular Plants (WCVP), World Flora Online (WFO) and Euro+Med PlantBase. We aim to integrate our data into the relevant global (TRY Plant Trait Database) and pan-European (FloraVeg.EU) databases. The current version of the database is freely available at the Zenodo repository and will be updated in the future. New information Until now, plant traits for the Ukrainian flora were scattered across literature, often focusing on single species and written mainly in Ukrainian. Additionally, many traits were in grey literature or remained non-digitised, which rendered them inaccessible to the global scientific community. Addressing this gap, our Ukrainian Plant Trait Database (UkrTrait v. 1.0) represents a significant step forward. We compiled and digitised plant traits from local Ukrainian literature sources. Furthermore, we performed our own field and laboratory measurements of various plant traits that were not previously available in literature. In the current version of the UkrTrait, we focus on vascular plant species that are absent from the other European trait databases, with emphasis on species that are representative for the steppe vegetation. Traits assembled from literature include life span (annuals, biennials, perennials), plant height, flowering period (flowering months), life form (by Raunkiaer), plant growth form and others. Our own measured traits include seed mass, seed shape, leaf area, leaf nitrogen concentration and leaf phosphorus concentration. The current version, i.e. UkrTrait v. 1.0, comprises digitised literature data of 287,948 records of 75 traits for 6,198 taxa and our own trait measurements of 2,390 records of 12 traits for 388 taxa.
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Affiliation(s)
- Denys Vynokurov
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
- Department of Plant Biology and Ecology, University of the Basque Country (UPV/EHU), Leioa, SpainDepartment of Plant Biology and Ecology, University of the Basque Country (UPV/EHU)LeioaSpain
| | - Dariia Borovyk
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech RepublicDepartment of Botany and Zoology, Faculty of Science, Masaryk UniversityBrnoCzech Republic
| | - Olha Chusova
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
| | - Anastasia Davydova
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
| | - Denys Davydov
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
| | - Jiří Danihelka
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech RepublicDepartment of Botany and Zoology, Faculty of Science, Masaryk UniversityBrnoCzech Republic
- Department of Taxonomy, Institute of Botany of the Czech Academy of Sciences, Průhonice, Czech RepublicDepartment of Taxonomy, Institute of Botany of the Czech Academy of SciencesPrůhoniceCzech Republic
| | - Iwona Dembicz
- Institute of Environmental Biology, Faculty of Biology, University of Warsaw, Warsaw, PolandInstitute of Environmental Biology, Faculty of Biology, University of WarsawWarsawPoland
| | - Svitlana Iemelianova
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
- Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech RepublicDepartment of Botany and Zoology, Faculty of Science, Masaryk UniversityBrnoCzech Republic
| | - Ganna Kolomiiets
- Department of Population Ecology, Institute of Botany of the Czech Academy of Sciences, Průhonice, Czech RepublicDepartment of Population Ecology, Institute of Botany of the Czech Academy of SciencesPrůhoniceCzech Republic
| | - Ivan Moysiyenko
- Department of Botany, Kherson State University, Kherson, UkraineDepartment of Botany, Kherson State UniversityKhersonUkraine
| | - Viktor Shapoval
- Falz-Fein Biosphere Reserve "Askania-Nova" NAAS of Ukraine, Askania-Nova, UkraineFalz-Fein Biosphere Reserve "Askania-Nova" NAAS of UkraineAskania-NovaUkraine
| | - Oleksandr Shynder
- M.M. Gryshko National Botanical Garden, National Akademy of Sciences of Ukraine, Kyiv, UkraineM.M. Gryshko National Botanical Garden, National Akademy of Sciences of UkraineKyivUkraine
| | - Nadiia Skobel
- Institute of Environmental Biology, Faculty of Biology, University of Warsaw, Warsaw, PolandInstitute of Environmental Biology, Faculty of Biology, University of WarsawWarsawPoland
- Department of Botany, Kherson State University, Kherson, UkraineDepartment of Botany, Kherson State UniversityKhersonUkraine
| | - Oksana Buzhdygan
- Theoretical Ecology, Institute of Biology, Freie Universität Berlin, Berlin, GermanyTheoretical Ecology, Institute of Biology, Freie Universität BerlinBerlinGermany
| | - Anna Kuzemko
- Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, Kyiv, UkraineDepartment of Geobotany and Ecology, M.G. Kholodny Institute of Botany, National Academy of Sciences of UkraineKyivUkraine
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98
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Guo K, Pyšek P, van Kleunen M, Kinlock NL, Lučanová M, Leitch IJ, Pierce S, Dawson W, Essl F, Kreft H, Lenzner B, Pergl J, Weigelt P, Guo WY. Plant invasion and naturalization are influenced by genome size, ecology and economic use globally. Nat Commun 2024; 15:1330. [PMID: 38351066 PMCID: PMC10864296 DOI: 10.1038/s41467-024-45667-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 01/31/2024] [Indexed: 02/16/2024] Open
Abstract
Human factors and plant characteristics are important drivers of plant invasions, which threaten ecosystem integrity, biodiversity and human well-being. However, while previous studies often examined a limited number of factors or focused on a specific invasion stage (e.g., naturalization) for specific regions, a multi-factor and multi-stage analysis at the global scale is lacking. Here, we employ a multi-level framework to investigate the interplay between plant characteristics (genome size, Grime's adaptive CSR-strategies and native range size) and economic use and how these factors collectively affect plant naturalization and invasion success worldwide. While our findings derived from structural equation models highlight the substantial contribution of human assistance in both the naturalization and spread of invasive plants, we also uncovered the pivotal role of species' adaptive strategies among the factors studied, and the significantly varying influence of these factors across invasion stages. We further revealed that the effects of genome size on plant invasions were partially mediated by species adaptive strategies and native range size. Our study provides insights into the complex and dynamic process of plant invasions and identifies its key drivers worldwide.
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Affiliation(s)
- Kun Guo
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, 200241, Shanghai, P. R. China
- Research Center for Global Change and Complex Ecosystems, School of Ecological and Environmental Sciences, East China Normal University, 200241, Shanghai, P. R. China
| | - Petr Pyšek
- Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology, Průhonice, CZ-25243, Czech Republic
- Department of Ecology, Faculty of Science, Charles University, Viničná 7, Prague, CZ-12844, Czech Republic
| | - Mark van Kleunen
- Ecology, Department of Biology, University of Konstanz, Universitätsstrasse 10, D-78457, Konstanz, Germany
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, 318000, P. R. China
| | - Nicole L Kinlock
- Ecology, Department of Biology, University of Konstanz, Universitätsstrasse 10, D-78457, Konstanz, Germany
| | - Magdalena Lučanová
- Czech Academy of Sciences, Institute of Botany, Department of Evolutionary Plant Biology, Průhonice, CZ-25243, Czech Republic
- Department of Botany, Faculty of Science, University of South Bohemia, Branišovská 1760, České Budějovice, CZ-370 05, Czech Republic
| | - Ilia J Leitch
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AB, UK
| | - Simon Pierce
- Department of Agricultural and Environmental Sciences (DiSAA), University of Milan, Via G. Celoria 2, I-20133, Milan, Italy
| | - Wayne Dawson
- Department of Biosciences, Durham University, Durham, UK
- Department of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Franz Essl
- Division of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Holger Kreft
- Biodiversity, Macroecology & Biogeography, University of Goettingen, Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Göttingen, Germany
- Campus-Institute Data Science, Göttingen, Germany
| | - Bernd Lenzner
- Division of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Jan Pergl
- Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology, Průhonice, CZ-25243, Czech Republic
| | - Patrick Weigelt
- Biodiversity, Macroecology & Biogeography, University of Goettingen, Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Göttingen, Germany
- Campus-Institute Data Science, Göttingen, Germany
| | - Wen-Yong Guo
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, 200241, Shanghai, P. R. China.
- Research Center for Global Change and Complex Ecosystems, School of Ecological and Environmental Sciences, East China Normal University, 200241, Shanghai, P. R. China.
- Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, 200241, Shanghai, P. R. China.
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99
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Neyret M, Le Provost G, Boesing AL, Schneider FD, Baulechner D, Bergmann J, de Vries FT, Fiore-Donno AM, Geisen S, Goldmann K, Merges A, Saifutdinov RA, Simons NK, Tobias JA, Zaitsev AS, Gossner MM, Jung K, Kandeler E, Krauss J, Penone C, Schloter M, Schulz S, Staab M, Wolters V, Apostolakis A, Birkhofer K, Boch S, Boeddinghaus RS, Bolliger R, Bonkowski M, Buscot F, Dumack K, Fischer M, Gan HY, Heinze J, Hölzel N, John K, Klaus VH, Kleinebecker T, Marhan S, Müller J, Renner SC, Rillig MC, Schenk NV, Schöning I, Schrumpf M, Seibold S, Socher SA, Solly EF, Teuscher M, van Kleunen M, Wubet T, Manning P. A slow-fast trait continuum at the whole community level in relation to land-use intensification. Nat Commun 2024; 15:1251. [PMID: 38341437 PMCID: PMC10858939 DOI: 10.1038/s41467-024-45113-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 01/16/2024] [Indexed: 02/12/2024] Open
Abstract
Organismal functional strategies form a continuum from slow- to fast-growing organisms, in response to common drivers such as resource availability and disturbance. However, whether there is synchronisation of these strategies at the entire community level is unclear. Here, we combine trait data for >2800 above- and belowground taxa from 14 trophic guilds spanning a disturbance and resource availability gradient in German grasslands. The results indicate that most guilds consistently respond to these drivers through both direct and trophically mediated effects, resulting in a 'slow-fast' axis at the level of the entire community. Using 15 indicators of carbon and nutrient fluxes, biomass production and decomposition, we also show that fast trait communities are associated with faster rates of ecosystem functioning. These findings demonstrate that 'slow' and 'fast' strategies can be manifested at the level of whole communities, opening new avenues of ecosystem-level functional classification.
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Affiliation(s)
- Margot Neyret
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany.
- Laboratoire d'Écologie Alpine, Université Grenoble Alpes - CNRS - Université Savoie Mont Blanc, Grenoble, France.
| | | | | | - Florian D Schneider
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany
- ISOE - Institute for social-ecological research, Frankfurt am Main, Germany
| | - Dennis Baulechner
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
| | - Joana Bergmann
- Leibniz Center for Agricultural Landscape Research (ZALF), Müncheberg, Germany
| | - Franciska T de Vries
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Stefan Geisen
- Laboratory of Nematology, Wageningen University and Research, Wageningen, The Netherlands
| | - Kezia Goldmann
- Helmholtz Centre for Environmental Research (UFZ), Soil Ecology Department, Halle/Saale, Germany
| | - Anna Merges
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany
| | - Ruslan A Saifutdinov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Nadja K Simons
- Ecological Networks, Technical University Darmstadt, Darmstadt, Germany
- Applied Biodiversity Sciences, University of Würzburg, Würzburg, Germany
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Ascot, UK
| | - Andrey S Zaitsev
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
- Senckenberg Museum for Natural History Görlitz, Görlitz, Germany
| | - Martin M Gossner
- Forest Entomology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
- Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zürich, Zürich, Switzerland
| | - Kirsten Jung
- Institut of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Ellen Kandeler
- Department of Soil Biology, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
| | - Jochen Krauss
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
| | - Caterina Penone
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Michael Schloter
- Helmholtz Zentrum Muenchen, Research Unit for Comparative Microbiome Analysis, Oberschleissheim, Germany
- Chair of Environmental Microbiology, Technical University of Munich, Freising, Germany
| | - Stefanie Schulz
- Helmholtz Zentrum Muenchen, Research Unit for Comparative Microbiome Analysis, Oberschleissheim, Germany
| | - Michael Staab
- Ecological Networks, Technical University Darmstadt, Darmstadt, Germany
| | - Volkmar Wolters
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
| | - Antonios Apostolakis
- Department of Biogeochemical Processes, Max-Planck-Institute for Biogeochemistry, Jena, Germany
- Department of Crop Sciences, University of Göttingen, Göttingen, Germany
| | - Klaus Birkhofer
- Department of Ecology, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany
| | - Steffen Boch
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Runa S Boeddinghaus
- Department of Soil Biology, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
- Department Plant Production and Production Related Environmental Protection, Center for Agricultural Technology Augustenberg (LTZ), Karlsruhe, Germany
| | - Ralph Bolliger
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Michael Bonkowski
- Terrestrial Ecology, Institute of Zoology, University of Cologne, Köln, Germany
| | - François Buscot
- Helmholtz Centre for Environmental Research (UFZ), Soil Ecology Department, Halle/Saale, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle - Jena-, Leipzig, Germany
| | - Kenneth Dumack
- Terrestrial Ecology, Institute of Zoology, University of Cologne, Köln, Germany
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Huei Ying Gan
- Senckenberg Centre for Human Evolution and Palaeoenvironments Tübingen (SHEP), Tübingen, Germany
| | - Johannes Heinze
- Department of Biodiversity, Heinz Sielmann Foundation, Wustermark, Germany
| | - Norbert Hölzel
- Institute of Landscape Ecology, University of Münster, Münster, Germany
| | - Katharina John
- Justus Liebig University, Department of Animal Ecology, Giessen, Germany
| | - Valentin H Klaus
- Institute of Agricultural Sciences, ETH Zürich, Zürich, Switzerland
- Forage Production and Grassland Systems, Agroscope, Zürich, Switzerland
| | - Till Kleinebecker
- Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (iFZ), Justus Liebig University Giessen, Giessen, Germany
- Centre for International Development and Environmental Research (ZEU), Justus Liebig University Giessen, Giessen, Germany
| | - Sven Marhan
- Department of Soil Biology, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
| | - Jörg Müller
- Department of Nature Conservation, Heinz Sielmann Foundation, Wustermark, Germany
| | - Swen C Renner
- Ornithology, Natural History Museum Vienna, Vienna, Autria, Germany
| | | | - Noëlle V Schenk
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Ingo Schöning
- Department of Biogeochemical Processes, Max-Planck-Institute for Biogeochemistry, Jena, Germany
| | - Marion Schrumpf
- Department of Biogeochemical Processes, Max-Planck-Institute for Biogeochemistry, Jena, Germany
| | - Sebastian Seibold
- Technical University of Munich, TUM School of Life Sciences, Freising, Germany
- TUD Dresden University of Technology, Forest Zoology, Tharandt, Germany
| | - Stephanie A Socher
- Paris Lodron University Salzburg, Department Environment and Biodiversity, Salzburg, Austria
| | - Emily F Solly
- Helmholtz Centre for Environmental Research (UFZ), Computation Hydrosystems Department, Leipzig, Germany
| | - Miriam Teuscher
- University of Göttingen, Centre of Biodiversity and Sustainable Land Use, Göttingen, Germany
| | - Mark van Kleunen
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, China
- Ecology, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Tesfaye Wubet
- German Centre for Integrative Biodiversity Research (iDiv) Halle - Jena-, Leipzig, Germany
- Helmholtz Centre for Environmental Research (UFZ), Community Ecology Department, Halle/Saale, Germany
| | - Peter Manning
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany.
- Department of Biological Sciences, University of Bergen, Bergen, Norway.
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100
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He P, Ye Q, Hua L, Zhu S, Liu H, Ning Q, Hu Q, Li Q, Qin X. Vein hierarchy mediates the 2D relationship between leaf size and drought tolerance across subtropical forest tree species. TREE PHYSIOLOGY 2024; 44:tpad141. [PMID: 38056447 DOI: 10.1093/treephys/tpad141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 12/01/2023] [Indexed: 12/08/2023]
Abstract
Previous studies have observed a 2D relationship (i.e. decoupled correlation) between leaf size (LS) and leaf economics as well as a tight correlation between leaf economics and drought tolerance. However, the underlying mechanism maintaining the relationship between LS and drought tolerance remains largely unknown. Here, we measured LS, water potential at 50% loss of hydraulic conductance, hydraulic safety margin and different orders of vein traits across 28 tree species in a subtropical forest in Southern China. We found that LS and drought tolerance were in two independent dimensions (R2 = 0.00, P > 0.05). Primary and secondary vein traits (i.e. vein diameter and density) explained the variation of LS, with R2 ranging from 0.37 to 0.70 (all Ps < 0.01), while minor vein traits accounted for the variation of leaf drought tolerance, with R2 ranging from 0.30 to 0.43 (all Ps < 0.01). Our results provide insight into the 2D relationship between LS and drought tolerance and highlight the importance of vein hierarchy in plant leaf functioning.
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Affiliation(s)
- Pengcheng He
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Tianhe District, Guangzhou 510650, Guangdong, China
| | - Qing Ye
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Tianhe District, Guangzhou 510650, Guangdong, China
- College of Life Sciences, Gannan Normal University, Shidanan Road 1, Rongjiangxin District, Ganzhou 341000, Jiangxi, China
| | - Lei Hua
- State Environmental Protection Key Laboratory of Urban Ecological Environment Simulation and Protection, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Ruihe Road 18, Huangpu District, Guangzhou 510655, Guangdong, China
| | - Shidan Zhu
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Daxuedong Road 100, Xixiangtang District, Nanning 530004, Guangxi, China
| | - Hui Liu
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Tianhe District, Guangzhou 510650, Guangdong, China
| | - Qiurui Ning
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Tianhe District, Guangzhou 510650, Guangdong, China
| | - Qin Hu
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Tianhe District, Guangzhou 510650, Guangdong, China
| | - Qiang Li
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Tianhe District, Guangzhou 510650, Guangdong, China
| | - Xinsheng Qin
- College of Forestry and Landscape Architecture, South China Agricultural University, Wushan Road 483, Tianhe District, Guangzhou 510642, Guangdong, China
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