1
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Wilkening JV, Feng X, Dawson TE, Thompson SE. Different roads, same destination: The shared future of plant ecophysiology and ecohydrology. PLANT, CELL & ENVIRONMENT 2024; 47:3447-3465. [PMID: 38725360 DOI: 10.1111/pce.14937] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/13/2024] [Accepted: 04/23/2024] [Indexed: 08/16/2024]
Abstract
Terrestrial water fluxes are substantially mediated by vegetation, while the distribution, growth, health, and mortality of plants are strongly influenced by the availability of water. These interactions, playing out across multiple spatial and temporal scales, link the disciplines of plant ecophysiology and ecohydrology. Despite this connection, the disciplines have provided complementary, but largely independent, perspectives on the soil-plant-atmosphere continuum since their crystallization as modern scientific disciplines in the late 20th century. This review traces the development of the two disciplines, from their respective origins in engineering and ecology, their largely independent growth and maturation, and the eventual development of common conceptual and quantitative frameworks. This common ground has allowed explicit coupling of the disciplines to better understand plant function. Case studies both illuminate the limitations of the disciplines working in isolation, and reveal the exciting possibilities created by consilience between the disciplines. The histories of the two disciplines suggest opportunities for new advances will arise from sharing methodologies, working across multiple levels of complexity, and leveraging new observational technologies. Practically, these exchanges can be supported by creating shared scientific spaces. This review argues that consilience and collaboration are essential for robust and evidence-based predictions and policy responses under global change.
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Affiliation(s)
- Jean V Wilkening
- Civil, Environmental, and Geo- Engineering, University of Minnesota, Minneapolis, Minnesota, USA
- St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, Minnesota, USA
| | - Xue Feng
- Civil, Environmental, and Geo- Engineering, University of Minnesota, Minneapolis, Minnesota, USA
- St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, Minnesota, USA
| | - Todd E Dawson
- Integrative Biology, University of California, Berkeley, California, USA
- Environmental Science, Policy, and Management, University of California, Berkeley, California, USA
| | - Sally E Thompson
- Civil, Environmental, and Mining Engineering, University of Western Australia, Perth, Western Australia, Australia
- Centre for Water and Spatial Science, University of Western Australia, Perth, Western Australia, Australia
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2
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Augustine SP, McCulloh KA. Physiological trait coordination and variability across and within three Pinus species. THE NEW PHYTOLOGIST 2024. [PMID: 39205436 DOI: 10.1111/nph.19859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/21/2024] [Indexed: 09/04/2024]
Abstract
Studies have explored how traits separate plants ecologically and the trade-offs that underpin this separation. However, uncertainty remains as to the taxonomic scale at which traits can predictably separate species. We studied how physiological traits separated three Pinus (Pinus banksiana, Pinus resinosa, and Pinus strobus) species across three sites. We collected traits from four common leaf and branch measurements (light-response curves, CO2-response curves, pressure-volume curves, and hydraulic vulnerability curves) across each species and site. While common, these measurements are not typically measured together due to logistical constraints. Few traits varied across species and sites as expected given the ecological preferences of the species and environmental site characteristics. Some trait trade-offs present at broad taxonomic scales were observed across the three species, but most were absent within species. Certain trade-offs contrasted expectations observed at broader scales but followed expectations given the species' ecological preferences. We emphasize the need to both clarify why certain traits are being studied, as variation in unexpected but ecologically meaningful ways often occurs and certain traits might not vary substantially within a given lineage (e.g. hydraulic vulnerability in Pinus), highlighting the role a trait selection in trait ecology.
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Affiliation(s)
- Steven P Augustine
- Department of Botany, University of Wisconsin - Madison, Madison, WI, 53706, USA
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, 55108, USA
| | - Katherine A McCulloh
- Department of Botany, University of Wisconsin - Madison, Madison, WI, 53706, USA
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3
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Teutli-Hernández C, Cepeda-González MF, Montero-Muñoz JL, Medina-Gómez I, Román-Cuesta RM, Herrera-Silveira JA. Relationship of litterfall anomalies with climatic anomalies in a mangrove swamp of the Yucatan Peninsula, Mexico. PLoS One 2024; 19:e0307376. [PMID: 39197042 PMCID: PMC11356426 DOI: 10.1371/journal.pone.0307376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 07/03/2024] [Indexed: 08/30/2024] Open
Abstract
Among the set of phenological traits featuring mangrove ecosystems, litterfall production stands out with marked intra-annual and longer-term variation. Furthermore, mangrove forests resilience is one of the most important ecological attribute, reconciling the juxtaposed terrestrial and marine environment such transitional systems occupy. However, world's mangroves are nowadays facing recurrent climatic events, reflected in anomalies depicted by major drivers, including temperature and precipitation. This physical-environmental setting may either constrain or favor overall forest productivity. A combination of time series analysis (spectral density and cross-correlation techniques) and statistical model fitting (General additive model) was implemented to explore trends in total litterfall of a well-developed mangrove forest in southeastern Gulf of Mexico (Celestun Lagoon, SE Mexico) and potential association with the varying behavior of temperature (°C) and precipitation (mm month-1), highlighting their anomalies. The results are consistent with a synchronous response between litterfall production and climatic variables (mean monthly temperature and total monthly precipitation). Concurrent peak litterfall production in Celestun lagoon with high temperatures and precipitation occurred during June and October, featuring a two-month time lag for the response time. More than half of the litterfall anomalies (53.5%) could be reflecting either multiple sources of climatic anomalies (maximum, minimum, and monthly average temperature and monthly total precipitation) or single point events (cyclone landfall). This relationship dynamics showed an interannual persistence (1999-2010). The structure portrayed by the litterfall time-series was not unequivocally related to climatic anomalies. Arguably, climatic anomalies behave with different intensities and even may exhibit complex interactions among them. The study of anomalies provides a baseline for a better grasp of: i) mangrove anomalies responses and ii) their vulnerability to these extremes.
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Affiliation(s)
- Claudia Teutli-Hernández
- Universidad Nacional Autónoma de México, Escuela Nacional de Estudios Superiores Unidad Mérida, Mérida, México
- Centro de Investigación y de Estudios Avanzados del IPN, Unidad Mérida, Mérida, México
| | | | | | - Israel Medina-Gómez
- Universidad Nacional Autónoma de México, Escuela Nacional de Estudios Superiores Unidad Mérida, Mérida, México
- Centro de Investigación y de Estudios Avanzados del IPN, Unidad Mérida, Mérida, México
| | | | - Jorge A. Herrera-Silveira
- Centro de Investigación y de Estudios Avanzados del IPN, Unidad Mérida, Mérida, México
- Laboratorio Nacional de Resiliencia Costera, Mérida, México
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4
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Tian D, Yan Z, Schmid B, Kattge J, Fang J, Stocker BD. Environmental versus phylogenetic controls on leaf nitrogen and phosphorous concentrations in vascular plants. Nat Commun 2024; 15:5346. [PMID: 38914561 PMCID: PMC11196693 DOI: 10.1038/s41467-024-49665-4] [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: 09/12/2023] [Accepted: 06/15/2024] [Indexed: 06/26/2024] Open
Abstract
Global patterns of leaf nitrogen (N) and phosphorus (P) stoichiometry have been interpreted as reflecting phenotypic plasticity in response to the environment, or as an overriding effect of the distribution of species growing in their biogeochemical niches. Here, we balance these contrasting views. We compile a global dataset of 36,413 paired observations of leaf N and P concentrations, taxonomy and 45 environmental covariates, covering 7,549 sites and 3,700 species, to investigate how species identity and environmental variables control variations in mass-based leaf N and P concentrations, and the N:P ratio. We find within-species variation contributes around half of the total variation, with 29%, 31%, and 22% of leaf N, P, and N:P variation, respectively, explained by environmental variables. Within-species plasticity along environmental gradients varies across species and is highest for leaf N:P and lowest for leaf N. We identified effects of environmental variables on within-species variation using random forest models, whereas effects were largely missed by widely used linear mixed-effect models. Our analysis demonstrates a substantial influence of the environment in driving plastic responses of leaf N, P, and N:P within species, which challenges reports of a fixed biogeochemical niche and the overriding importance of species distributions in shaping global patterns of leaf N and P.
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Affiliation(s)
- Di Tian
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, 100083, China.
- Institute of Agricultural Sciences, Department of Environmental Systems Science, ETH, Universitätsstrasse 2, 8092, Zürich, Switzerland.
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland.
| | - Zhengbing Yan
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Bernhard Schmid
- Department of Geography, Remote Sensing Laboratories, University of Zürich, 8006, Zürich, Switzerland
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jens Kattge
- Max-Planck-Institute for Biogeochemistry, Hans-Knöll Street 10, 07745, Jena, Germany
- iDiv - German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Puschstraße 4, 04103, Leipzig, Germany
| | - Jingyun Fang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Benjamin D Stocker
- Institute of Agricultural Sciences, Department of Environmental Systems Science, ETH, Universitätsstrasse 2, 8092, Zürich, Switzerland.
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland.
- Institute of Geography, University of Bern, Hallerstrasse 12, 3012, Bern, Switzerland.
- Oeschger Centre for Climate Change Research, University of Bern, Falkenplatz 16, 3012, Bern, Switzerland.
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5
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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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6
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Wan JSH, Bonser SP, Pang CK, Fazlioglu F, Rutherford S. Adaptive responses to living in stressful habitats: Do invasive and native plant populations use different strategies? Ecol Lett 2024; 27:e14419. [PMID: 38613177 DOI: 10.1111/ele.14419] [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: 10/19/2023] [Revised: 02/08/2024] [Accepted: 03/05/2024] [Indexed: 04/14/2024]
Abstract
Plants inhabit stressful environments characterized by a variety of stressors, including mine sites, mountains, deserts, and high latitudes. Populations from stressful and reference (non-stressful) sites often have performance differences. However, while invasive and native species may respond differently to stressful environments, there is limited understanding of the patterns in reaction norms of populations from these sites. Here, we use phylogenetically controlled meta-analysis to assess the performance of populations under stress and non-stress conditions. We ask whether stress populations of natives and invasives differ in the magnitude of lowered performance under non-stress conditions and if they vary in the degree of performance advantage under stress. We also assessed whether these distinctions differ with stress intensity. Our findings revealed that natives not only have greater adaptive advantages but also more performance reductions than invasives. Populations from very stressful sites had more efficient adaptations, and performance costs increased with stress intensity in natives only. Overall, the results support the notion that adaptation is frequently costless. Reproductive output was most closely associated with adaptive costs and benefits. Our study characterized the adaptive strategies used by invasive and native plants under stressful conditions, thereby providing important insights into the limitations of adaptation to extreme sites.
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Affiliation(s)
- Justin S H Wan
- Research Centre for Ecosystem Resilience, Australian Institute of Botanic Science, Royal Botanic Garden Sydney, Sydney, New South Wales, Australia
| | - Stephen P Bonser
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales (UNSW), Sydney, New South Wales, Australia
| | - Clara K Pang
- PlantClinic, Australian Institute of Botanical Science, Royal Botanic Garden, Sydney, New South Wales, Australia
| | | | - Susan Rutherford
- Center for Sustainable Environmental and Ecosystem Research, Department of Environmental Science, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou, Zhejiang Province, China
- Department of Environmental and Sustainability Sciences, The Dorothy and George Hennings College of Science, Mathematics and Technology, Kean University, Union, New Jersey, USA
- Zhejiang Bioinformatics International Science and Technology Cooperation Center, Wenzhou, Zhejiang Province, China
- Wenzhou Municipal Key Lab for Applied Biomedical and Biopharmaceutical Informatics, Ouhai, Wenzhou, Zhejiang Province, China
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7
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You Y, Jiang W, Yi L, Zhang G, Peng Z, Chang S, Hou F. Seeding alpine grasses in low altitude region increases global warming potential during early seedling growth. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 356:120679. [PMID: 38531141 DOI: 10.1016/j.jenvman.2024.120679] [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: 11/24/2023] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024]
Abstract
Introduction of alpine grasses to low altitude regions has long been a crucial strategy for enriching germplasm diversity, cultivating and acclimating high-quality species, enhancing ecosystem resilience and adaptability, as well as facilitating ecosystem restoration. However, there is an urgent need to investigate the impacts of planting Gramineae seeds on greenhouse gas (GHG) emissions, particularly during the critical stage of early plant growth. In this study, four species of grass seeds (Stipa breviflora, Poa pratensis, Achnatherum splendens, Elymus nutans) were collected from 19 high-altitude regions surrounding the Qinghai-Tibet Plateau and sown at low-altitude. Measurements of GHG emissions at early seedling growth in the mesocosm experiment using static chamber method showed a strong increase in the cumulative emissions of CO2 (5.71%-9.19%) and N2O (11.36%-13.64%) (p < 0.05), as well as an elevated CH4 uptake (2.75%-5.50%) in sites where the four grass species were introduced, compared to bare soil. Consequently, there was a substantial rise in global warming potential (13.87%-16.33%) (p < 0.05) at grass-introduced sites. Redundancy analysis showed that seed traits, plant biomass, and seedling emergence percentage were the main driving biotic factors of three GHGs fluxes. Our study unveils the potential risk of escalating GHG emissions induced by introducing high altitude grasses to low altitude bare soil, elucidating the mechanism through linking seed traits with seedling establishment and environmental feedback. Furthermore, this offers a new perspective for assessing the impact of grass introduction on ecological environment of introduced site.
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Affiliation(s)
- Yang You
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Weiqi Jiang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Lingxin Yi
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Guangyun Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Zechen Peng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Shenghua Chang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Fujiang Hou
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Technology Research Center for Ecological Restoration and Utilization of Degraded Grassland in Northwest China, National Forestry and Grassland Administration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
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8
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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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9
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Cui E. Trait-environment relationships are timescale dependent. THE NEW PHYTOLOGIST 2024; 241:2313-2315. [PMID: 38263681 DOI: 10.1111/nph.19546] [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] [Indexed: 01/25/2024]
Abstract
This article is a Commentary on Famiglietti et al. (2024), 241: 2423–2434.
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Affiliation(s)
- Erqian Cui
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China
- Research Center for Global Change and Complex Ecosystems, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China
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10
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Famiglietti CA, Worden M, Anderegg LDL, Konings AG. Impacts of climate timescale on the stability of trait-environment relationships. THE NEW PHYTOLOGIST 2024; 241:2423-2434. [PMID: 38037289 DOI: 10.1111/nph.19416] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 11/02/2023] [Indexed: 12/02/2023]
Abstract
Predictive relationships between plant traits and environmental factors can be derived at global and regional scales, informing efforts to reorient ecological models around functional traits. However, in a changing climate, the environmental variables used as predictors in such relationships are far from stationary. This could yield errors in trait-environment model predictions if timescale is not accounted for. Here, the timescale dependence of trait-environment relationships is investigated by regressing in situ trait measurements of specific leaf area, leaf nitrogen content, and wood density on local climate characteristics summarized across several increasingly long timescales. We identify contrasting responses of leaf and wood traits to climate timescale. Leaf traits are best predicted by recent climate timescales, while wood density is a longer term memory trait. The use of sub-optimal climate timescales reduces the accuracy of the resulting trait-environment relationships. This study concludes that plant traits respond to climate conditions on the timescale of tissue lifespans rather than long-term climate normals, even at large spatial scales where multiple ecological and physiological mechanisms drive trait change. Thus, determining trait-environment relationships with temporally relevant climate variables may be critical for predicting trait change in a nonstationary climate system.
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Affiliation(s)
| | - Matthew Worden
- Department of Earth System Science, Stanford University, Stanford, CA, 94305, USA
| | - Leander D L Anderegg
- Department of Ecology, Evolution, & Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA
| | - Alexandra G Konings
- Department of Earth System Science, Stanford University, Stanford, CA, 94305, USA
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11
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Medeiros JS, Burns JH, Dowrey C, Duong F, Speroff S. Leaf habit and plant architecture integrate whole-plant economics and contextualize trait-climate associations within ecologically diverse genus Rhododendron. AOB PLANTS 2024; 16:plae005. [PMID: 38406260 PMCID: PMC10888519 DOI: 10.1093/aobpla/plae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/01/2024] [Indexed: 02/27/2024]
Abstract
Plant resource strategies negotiate a trade-off between fast growth and stress resistance, characterized by specific leaf area (SLA). How SLA relates to leaf structure and function or plant climate associations remains open for debate, and leaf habit and plant architecture may alter the costs versus benefits of individual traits. We used phylogenetic canonical correspondence analysis and phylogenetic least squares to understand the relationship of anatomy and gas exchange to published data on root, wood, architectural and leaf economics traits and climate. Leaf anatomy was structured by leaf habit and carbon to nitrogen ratio was a better predictor of gas exchange than SLA. We found significant correspondence of leaf anatomy with branch architecture and wood traits, gas exchange corresponded with climate, while leaf economics corresponded with climate, architecture, wood and root traits. Species from the most seasonal climates had the highest trait-climate correspondence, and different aspects of economics and anatomy reflected leaf carbon uptake versus water use. Our study using phylogenetic comparative methods including plant architecture and leaf habit provides insight into the mechanism of whole-plant functional coordination and contextualizes individual traits in relation to climate, demonstrating the evolutionary and ecological relevance of trait-trait correlations within a genus with high biodiversity.
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Affiliation(s)
| | - Jean H Burns
- Department of Biology, Case Western Reserve University, 10900 Euclid Ave., Cleveland, OH 44106USA
| | - Callie Dowrey
- Holden Arboretum, 9500 Sperry Rd, Kirtland, OH 44094, USA
| | - Fiona Duong
- Holden Arboretum, 9500 Sperry Rd, Kirtland, OH 44094, USA
| | - Sarah Speroff
- New England Aquarium, 1 Central Wharf, Boston, MA 02110USA
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12
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Golivets M, Knapp S, Essl F, Lenzner B, Latombe G, Leung B, Kühn I. Future changes in key plant traits across Central Europe vary with biogeographical status, woodiness, and habitat type. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:167954. [PMID: 37866591 DOI: 10.1016/j.scitotenv.2023.167954] [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: 08/29/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 10/24/2023]
Abstract
Many plant traits covary with environmental gradients, reflecting shifts in adaptive strategies and thus informing about potential consequences of future environmental change for vegetation and ecosystem functioning. Yet, the evidence of trait-environment relationships (TERs) remains too heterogeneous for reliable predictions, partially due to insufficient consideration of trait syndromes specific to certain growth forms and habitats. Moreover, it is still unclear whether non-native and native plants' traits align similarly along environmental gradients, limiting our ability to assess the impacts of future plant invasions. Using a Bayesian multilevel modelling framework, we assess TERs for native and non-native woody and herbaceous plants across six broad habitat types in Central Europe at a resolution of c. 130 km2 and use them to project trait change under future environmental change scenarios until 2081-2100. We model TERs between three key plant traits (maximum height, Hmax; specific leaf area, SLA; seed mass, SM) and individual environmental factors (7 climate variables and % urban land cover) and estimate trait change summed across all environmental effects. We also quantify the change in the average trait difference between native and non-native plants. Our models depict multiple TERs, with important differences attributed to biogeographical status and woodiness within and across habitat types. The overall magnitude of trait change is projected to be greater for non-native than native taxa and to increase under more extreme scenarios. Native woody plant assemblages may generally experience a future increase across all three traits, whereas woody non-natives may decline in Hmax and increase in SLA and SM. Herbaceous Hmax is estimated to increase and SLA to decrease in most habitats. The obtained trait projections highlight conditions of competitive advantage of non-native plants over natives and vice versa and can serve as starting points for projecting future changes in ecosystem functions and services.
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Affiliation(s)
- Marina Golivets
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle, Germany.
| | - Sonja Knapp
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle, Germany; Ecosystem Science/Plant Ecology, Department of Ecology, Technische Universität Berlin, Berlin, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, Germany
| | - Franz Essl
- Division of Bioinvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Bernd Lenzner
- Division of Bioinvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Guillaume Latombe
- Institute of Ecology and Evolution, The University of Edinburgh, King's Buildings, Edinburgh, United Kingdom
| | - Brian Leung
- Department of Biology, McGill University, Montreal, Quebec, Canada; Bieler School of Environment, McGill University, Montreal, Quebec, Canada
| | - Ingolf Kühn
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, Germany; Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany
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13
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Huang R, Di N, Xi B, Yang J, Duan J, Li X, Feng J, Choat B, Tissue D. Herb hydraulics: Variation and correlation for traits governing drought tolerance and efficiency of water transport. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:168095. [PMID: 37879470 DOI: 10.1016/j.scitotenv.2023.168095] [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: 07/10/2023] [Revised: 09/20/2023] [Accepted: 10/22/2023] [Indexed: 10/27/2023]
Abstract
Hydraulic traits dictate plant response to drought, thus enabling better understanding of community dynamics under global climate change. Despite being intensively documented in woody species, herbaceous species (graminoids and forbs) are largely understudied, hence the distribution and correlation of hydraulic traits in herbaceous species remains unclear. Here, we collected key hydraulic traits for 436 herbaceous species from published literature, including leaf hydraulic conductivity (Kleaf), water potential inducing 50 % loss of hydraulic conductivity (P50), stomatal closure (Pclose) and turgor loss (Ptlp). Trait variation of herbs was analyzed and contrasted with angiosperm woody species within the existing global hydraulic traits database, as well as between different growth forms within herbs. Furthermore, hydraulic traits coordination was also assessed for herbaceous species. We found that herbs showed overall more negative Pclose but less negative Ptlp compared with angiosperm woody species, while P50 did not differ between functional types, regardless of the organ (leaf and stem). In addition, correlations were found between Kleaf and P50 of leaf (P50leaf), as well as between Pclose, P50leaf and Kleaf. Within herbs, graminoids generally exhibited more negative P50 and Ptlp, but lower Kleaf, relative to forbs. Within herbs, no clear pattern regarding hydraulic traits-climate relationship was found. Our analysis provided insights into herb hydraulic, and highlighted the knowledge gaps need to be filled regarding the response of herbs to drought.
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Affiliation(s)
- Ruike Huang
- College of Life and Environmental Science, Minzu University of China, Zhongguancun Campus, 27 Zhongguancun south Avenue, Beijing 100081, People's Republic of China; Collaborative Innovation Center for Grassland Ecological Security (Jointly Supported by the Ministry of Education of China and Inner Mongolia Autonomous Region), Hohhot 010020, People's Republic of China
| | - Nan Di
- Collaborative Innovation Center for Grassland Ecological Security (Jointly Supported by the Ministry of Education of China and Inner Mongolia Autonomous Region), Hohhot 010020, People's Republic of China; School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, People's Republic of China
| | - Benye Xi
- Ministry of Education Key Laboratory of Silviculture and Conservation, Beijing Forestry University, 35 Qinghua East Rd, Beijing 100083, People's Republic of China
| | - Jinyan Yang
- CSIRO Land and Water, Black Mountain, Australian Capital Territory 2601, Australia
| | - Jie Duan
- Ministry of Education Key Laboratory of Silviculture and Conservation, Beijing Forestry University, 35 Qinghua East Rd, Beijing 100083, People's Republic of China.
| | - Ximeng Li
- College of Life and Environmental Science, Minzu University of China, Zhongguancun Campus, 27 Zhongguancun south Avenue, Beijing 100081, People's Republic of China.
| | - Jinchao Feng
- College of Life and Environmental Science, Minzu University of China, Zhongguancun Campus, 27 Zhongguancun south Avenue, Beijing 100081, People's Republic of China
| | - Brendan Choat
- Hawkesbury Institute for the Environment, Western Sydney University, Hawkesbury Campus, Richmond, NSW 2753, Australia
| | - David Tissue
- Hawkesbury Institute for the Environment, Western Sydney University, Hawkesbury Campus, Richmond, NSW 2753, Australia; Global Centre for Land-Based Innovation, Western Sydney University, Hawkesbury Campus, Richmond, NSW 2753, Australia
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14
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Wu A, Anderegg LDL, Dawson TE, Trugman AT. Leaf trait coordination and variation of blue oak across topo-environmental scales. TREE PHYSIOLOGY 2023; 43:2098-2108. [PMID: 37847600 DOI: 10.1093/treephys/tpad127] [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: 08/23/2023] [Accepted: 09/27/2023] [Indexed: 10/19/2023]
Abstract
Trees are arguably the most diverse and complex macro-organisms on Earth. The equally diverse functions of trees directly impact fluxes of carbon, water and energy from the land surface. A number of recent studies have shed light on the substantial within-species variability across plant traits, including aspects of leaf morphology and plant allocation of photosynthates to leaf biomass. Yet, within-tree variability in leaf traits due to microclimatic variations, leaf hydraulic coordination across traits at different physiological scales and variations in leaf traits over a growing season remain poorly studied. This knowledge gap is stymieing the fundamental understanding of what drives trait variation and covariation from tissues to trees to landscapes. Here, we present an extensive dataset measuring within-tree heterogeneity in leaf traits in California's blue oak (Quercus douglasii) across an edaphic gradient and over the course of a growing season at an oak-grass savanna in Southern CA, USA. We found a high level of within-tree crown leaf area:sapwood area variation that was not attributable to sample height or aspect. We also found a higher level of trait integration at the tree level, rather than branch level, suggesting that trees optimize water use at the organismal level. Despite the large variance in traits within a tree crown and across trees, we did not find strong evidence for adaptive plasticity or acclimation in leaf morphological traits (e.g., changes to phenotype which increased fitness) across temporal and spatial water availability gradients. Collectively, our results highlight strong variation in drought-related physiology, but limited evidence for adaptive trait plasticity over shorter time scales.
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Affiliation(s)
- Angelica Wu
- Department of Integrative Biology, 3040 Valley Life Sciences Building, University of California, Berkeley, CA 94720, USA
| | - Leander D L Anderegg
- Department of Ecology, Evolution, and Marine Biology, Noble Hall, University of California, Santa Barbara, CA 93106, USA
| | - Todd E Dawson
- Department of Integrative Biology, 3040 Valley Life Sciences Building, University of California, Berkeley, CA 94720, USA
| | - Anna T Trugman
- Department of Geography, Ellison Hall, University of California, Santa Barbara, CA 93106, USA
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15
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Liu C, Sack L, Li Y, Zhang J, Yu K, Zhang Q, He N, Yu G. Relationships of stomatal morphology to the environment across plant communities. Nat Commun 2023; 14:6629. [PMID: 37857672 PMCID: PMC10587080 DOI: 10.1038/s41467-023-42136-2] [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: 10/18/2022] [Accepted: 10/02/2023] [Indexed: 10/21/2023] Open
Abstract
The relationship between stomatal traits and environmental drivers across plant communities has important implications for ecosystem carbon and water fluxes, but it has remained unclear. Here, we measure the stomatal morphology of 4492 species-site combinations in 340 vegetation plots across China and calculate their community-weighted values for mean, variance, skewness, and kurtosis. We demonstrate a trade-off between stomatal density and size at the community level. The community-weighted mean and variance of stomatal density are mainly associated with precipitation, while that of stomatal size is mainly associated with temperature, and the skewness and kurtosis of stomatal traits are less related to climatic and soil variables. Beyond mean climate variables, stomatal trait moments also vary with climatic seasonality and extreme conditions. Our findings extend the knowledge of stomatal trait-environment relationships to the ecosystem scale, with applications in predicting future water and carbon cycles.
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Affiliation(s)
- Congcong Liu
- Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China), National Ethnic Affairs Commission, 100081, Beijing, China
- College of Life and Environmental Sciences, Minzu University of China, 100081, Beijing, China
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90025, USA
| | - Ying Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
| | - Jiahui Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
| | - Kailiang Yu
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, 08540, USA
| | - Qiongyu Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.
- Center for Ecological Research, Northeast Forestry University, 150040, Harbin, China.
- Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of Sciences, 165200, Daxing'anling, China.
| | - Guirui Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, 100049, Beijing, China
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16
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Zhao C, Lin Q, Tian D, Ji C, Shen H, Fan D, Wang X, Fang J. Nitrogen addition promotes conservative resource-use strategies via aggravating phosphorus limitation of evergreen trees in subtropical forest. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 889:164047. [PMID: 37187388 DOI: 10.1016/j.scitotenv.2023.164047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/05/2023] [Accepted: 05/06/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Changti Zhao
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China.
| | - Quanhong Lin
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China.
| | - Di Tian
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China.
| | - Chengjun Ji
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.
| | - Haihua Shen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
| | - Dayong Fan
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China.
| | - Xiangping Wang
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China.
| | - Jingyun Fang
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.
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17
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Adams WW, Stewart JJ, Polutchko SK, Cohu CM, Muller O, Demmig-Adams B. Foliar Phenotypic Plasticity Reflects Adaptation to Environmental Variability. PLANTS (BASEL, SWITZERLAND) 2023; 12:2041. [PMID: 37653958 PMCID: PMC10224448 DOI: 10.3390/plants12102041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/10/2023] [Accepted: 05/18/2023] [Indexed: 09/02/2023]
Abstract
Arabidopsis thaliana ecotypes adapted to native habitats with different daylengths, temperatures, and precipitation were grown experimentally under seven combinations of light intensity and leaf temperature to assess their acclimatory phenotypic plasticity in foliar structure and function. There were no differences among ecotypes when plants developed under moderate conditions of 400 µmol photons m-2 s-1 and 25 °C. However, in response to more extreme light or temperature regimes, ecotypes that evolved in habitats with pronounced differences in either the magnitude of changes in daylength or temperature or in precipitation level exhibited pronounced adjustments in photosynthesis and transpiration, as well as anatomical traits supporting these functions. Specifically, when grown under extremes of light intensity (100 versus 1000 µmol photons m-2 s-1) or temperature (8 °C versus 35 °C), ecotypes from sites with the greatest range of daylengths and temperature over the growing season exhibited the greatest differences in functional and structural features related to photosynthesis (light- and CO2-saturated capacity of oxygen evolution, leaf dry mass per area or thickness, phloem cells per minor vein, and water-use efficiency of CO2 uptake). On the other hand, the ecotype from the habitat with the lowest precipitation showed the greatest plasticity in features related to water transport and loss (vein density, ratio of water to sugar conduits in foliar minor veins, and transpiration rate). Despite these differences, common structure-function relationships existed across all ecotypes and growth conditions, with significant positive, linear correlations (i) between photosynthetic capacity (ranging from 10 to 110 µmol O2 m-2 s-1) and leaf dry mass per area (from 10 to 75 g m-2), leaf thickness (from 170 to 500 µm), and carbohydrate-export infrastructure (from 6 to 14 sieve elements per minor vein, from 2.5 to 8 µm2 cross-sectional area per sieve element, and from 16 to 82 µm2 cross-sectional area of sieve elements per minor vein); (ii) between transpiration rate (from 1 to 17 mmol H2O m-2 s-1) and water-transport infrastructure (from 3.5 to 8 tracheary elements per minor vein, from 13.5 to 28 µm2 cross-sectional area per tracheary element, and from 55 to 200 µm2 cross-sectional area of tracheary elements per minor vein); (iii) between the ratio of transpirational water loss to CO2 fixation (from 0.2 to 0.7 mol H2O to mmol-1 CO2) and the ratio of water to sugar conduits in minor veins (from 0.4 to 1.1 tracheary to sieve elements, from 4 to 6 µm2 cross-sectional area of tracheary to sieve elements, and from 2 to 6 µm2 cross-sectional area of tracheary elements to sieve elements per minor vein); (iv) between sugar conduits and sugar-loading cells; and (v) between water conducting and sugar conducting cells. Additionally, the proportion of water conduits to sugar conduits was greater for all ecotypes grown experimentally under warm-to-hot versus cold temperature. Thus, developmental acclimation to the growth environment included ecotype-dependent foliar structural and functional adjustments resulting in multiple common structural and functional relationships.
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Affiliation(s)
- William W. Adams
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309-0334, USA; (J.J.S.); (S.K.P.); (B.D.-A.)
| | - Jared J. Stewart
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309-0334, USA; (J.J.S.); (S.K.P.); (B.D.-A.)
| | - Stephanie K. Polutchko
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309-0334, USA; (J.J.S.); (S.K.P.); (B.D.-A.)
| | - Christopher M. Cohu
- Environmental Science and Technology, Colorado Mesa University, Grand Junction, CO 81502, USA;
| | - Onno Muller
- Pflanzenwissenschaften (IBG-2), Institut für Bio- und Geowissenschaften, Forschungszentrum Jülich, 52428 Jülich, Germany;
| | - Barbara Demmig-Adams
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309-0334, USA; (J.J.S.); (S.K.P.); (B.D.-A.)
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18
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Deschamps L, Proulx R, Rheault G, Gross N, Watson C, Maire V. Species richness drives selection of individuals within wetlands based on traits related to acquisition and utilization of light. Ecol Evol 2023; 13:e9959. [PMID: 37038518 PMCID: PMC10082176 DOI: 10.1002/ece3.9959] [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: 08/03/2022] [Revised: 03/10/2023] [Accepted: 03/14/2023] [Indexed: 04/12/2023] Open
Abstract
Selection within natural communities has mainly been studied along large abiotic gradients, while the selection of individuals within populations should occur locally in response to biotic filters. To better leverage the role of the latter, we considered the hierarchal nature of environmental selection for the multiple dimensions of the trait space across biological levels, that is, from the species to the community and the ecosystem levels. We replicated a natural species richness gradient where communities included from two to 16 species within four wetlands (bog, fen, meadow, and marsh) contrasting in plant productivity. We sampled functional traits from individuals in each community and used hierarchical distributional modeling in order to analyze the independent variation of the mean and dispersion of functional trait space at ecosystem, community, and species levels. The plant productivity gradient observed between wetlands led to species turnover and selection of traits related to leaf nutrient conservation/acquisition strategy. Within wetlands, plant species richness drove trait variation across both communities and species. Among communities, variation of species richness correlated with the selection of individuals according to their use of vertical space and leaf adaptations to light conditions. Within species, intraspecific light-related trait variation in response to species richness was associated with stable population density for some species, while others reached low population density in more diverse communities. Within ecosystems, variation in biotic conditions selects individuals along functional dimensions that are independent of those selected across ecosystems. Within-species variations of light-related traits are related to demographic responses, linking biotic selection of individuals within communities to eco-evolutionary dynamics of species.
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Affiliation(s)
- Lucas Deschamps
- Département des sciences de l'environnementUniversité du Québec à Trois‐RivièresTrois RivièresCanada
| | - Raphaël Proulx
- Département des sciences de l'environnementUniversité du Québec à Trois‐RivièresTrois RivièresCanada
| | - Guillaume Rheault
- Département des sciences de l'environnementUniversité du Québec à Trois‐RivièresTrois RivièresCanada
| | - Nicolas Gross
- Université Clermont Auvergne, INRAE, VetAgro SupUnité Mixte de Recherche Ecosystème PrairialClermont‐FerrandFrance
| | - Christopher Watson
- Département des sciences de l'environnementUniversité du Québec à Trois‐RivièresTrois RivièresCanada
| | - Vincent Maire
- Département des sciences de l'environnementUniversité du Québec à Trois‐RivièresTrois RivièresCanada
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19
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Slater H, Dolan L. The New Phytologist Tansley Medal 2022 - Leander D. L. Anderegg and Moi Exposito-Alonso. THE NEW PHYTOLOGIST 2023; 237:1939-1940. [PMID: 36795474 DOI: 10.1111/nph.18741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
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