1
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Song G, Wang Q. Seasonal dynamics of photosynthetic nitrogen content and partitioning in deciduous forests. PHOTOSYNTHESIS RESEARCH 2023; 156:355-366. [PMID: 36602713 DOI: 10.1007/s11120-022-00992-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/06/2022] [Indexed: 05/23/2023]
Abstract
Nitrogen allocated to the photosynthetic apparatus and its partitioning into different photosynthetic components is crucial for understanding plant carbon gain and plant productivity. It is known that photosynthetic nitrogen content and partitioning are controlled by both environmental and vegetation factors and have versatile and dynamic responses. However, such responses are greatly simplified in most current gas exchange models, in which only a prescribed relationship is commonly applied to describe the effect of nitrogen on photosynthesis and with limited model performance. While within-canopy variation at a specific time in leaf photosynthetic nitrogen content and partitioning has been studied previously, far less attention has been paid to the seasonal dynamics of photosynthetic nitrogen content and partitioning, which is especially critical to deciduous forests. In this study, we integrated long-term field observations in deciduous forests in Japan to determine seasonal patterns of photosynthetic nitrogen content and partitioning (rubisco, electron transport, and light capture) and to examine how photosynthetic nitrogen content and partitioning varied seasonally in deciduous forest canopies growing at different altitudes. The results demonstrated that there were remarkable seasonal variations in both photosynthetic nitrogen content and partitioning in deciduous forests along the altitudinal gradient. Moreover, photosynthetic nitrogen use efficiency was well explained by nitrogen partitioning rather than total leaf nitrogen. These results suggest that seasonal patterns of nitrogen partitioning should be integrated into ecosystem models to accurately project emergent properties of ecosystem productivity on local, regional, and global scales.
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Affiliation(s)
- Guangman Song
- Faculty of Agriculture, Shizuoka University, Shizuoka, 422-8529, Japan
| | - Quan Wang
- Faculty of Agriculture, Shizuoka University, Shizuoka, 422-8529, Japan.
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2
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Khourchi S, Oukarroum A, Tika A, Delaplace P, Bargaz A. Polyphosphate application influences morpho-physiological root traits involved in P acquisition and durum wheat growth performance. BMC PLANT BIOLOGY 2022; 22:309. [PMID: 35754019 PMCID: PMC9235221 DOI: 10.1186/s12870-022-03683-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Among phosphate (P) fertilizers, polyphosphates (PolyPs) have shown promising results in terms of crop yield and plant P nutrition. However, compared to conventional P inputs, very little is known on the impact of PolyPs fertilizers on below- and above-ground plant functional traits involved in P acquisition. This study aims to evaluate agro-physiological responses of durum wheat variety ´Karim´ under different PolyPs applications. Three PolyPs fertilizers (PolyA, PolyB, and PolyC) versus one orthophosphate (OrthoP) were applied at three doses; 30 (D30), 60 (D60), and 90 (D90) kg P/ha under controlled conditions. The PolyPs (especially PolyB and PolyC) application at D60 significantly increased morphophysiological root traits (e.g., RL: 42 and 130%; RSA:40 and 60%), shoot inorganic P (Pi) content (159 and 88%), and root P acquisition efficiency (471 and 296%) under PolyB and PolyC, respectively compared to unfertilized plants. Above-ground physiological parameters, mainly nutrient acquisition, chlorophyll content and chlorophyll fluorescence parameters were also improved under PolyB and PolyA application at D60. A significant and positive correlation between shoot Pi content and rhizosphere soil acid phosphatase activity was observed, which reveal the key role of these enzymes in PolyPs (A and B) use efficiency. Furthermore, increased P uptake/RL ratio along with shoot Pi indicates more efficient P allocation to shoots with less investment in root biomass production under PolyPs (especially A and B). CONCLUSIONS Under our experimental conditions, these findings report positive impacts of PolyPs on wheat growth performance, particularly on photosynthesis and nutrient acquisition at D60, along with modulation of root morpho-physiological traits likely responsible of P acquisition efficiency.
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Affiliation(s)
- Said Khourchi
- Laboratory of Plant-Microbes Interactions, Agrobiosciences, Mohammed VI Polytechnic University, Ben Guerir, 43150, Rabat, Morocco.
- Terra Department, Plant Sciences Group, Gembloux Agro-Bio Tech, Université de Liège, B-5030, Gembloux, Belgium.
| | - Abdallah Oukarroum
- Laboratory of Plant-Microbes Interactions, Agrobiosciences, Mohammed VI Polytechnic University, Ben Guerir, 43150, Rabat, Morocco
| | - Asma Tika
- Laboratory of Plant-Microbes Interactions, Agrobiosciences, Mohammed VI Polytechnic University, Ben Guerir, 43150, Rabat, Morocco
| | - Pierre Delaplace
- Terra Department, Plant Sciences Group, Gembloux Agro-Bio Tech, Université de Liège, B-5030, Gembloux, Belgium
| | - Adnane Bargaz
- Laboratory of Plant-Microbes Interactions, Agrobiosciences, Mohammed VI Polytechnic University, Ben Guerir, 43150, Rabat, Morocco.
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3
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Functional susceptibility of tropical forests to climate change. Nat Ecol Evol 2022; 6:878-889. [PMID: 35577983 DOI: 10.1038/s41559-022-01747-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 03/24/2022] [Indexed: 11/08/2022]
Abstract
Tropical forests are some of the most biodiverse ecosystems in the world, yet their functioning is threatened by anthropogenic disturbances and climate change. Global actions to conserve tropical forests could be enhanced by having local knowledge on the forests' functional diversity and functional redundancy as proxies for their capacity to respond to global environmental change. Here we create estimates of plant functional diversity and redundancy across the tropics by combining a dataset of 16 morphological, chemical and photosynthetic plant traits sampled from 2,461 individual trees from 74 sites distributed across four continents together with local climate data for the past half century. Our findings suggest a strong link between climate and functional diversity and redundancy with the three trait groups responding similarly across the tropics and climate gradient. We show that drier tropical forests are overall less functionally diverse than wetter forests and that functional redundancy declines with increasing soil water and vapour pressure deficits. Areas with high functional diversity and high functional redundancy tend to better maintain ecosystem functioning, such as aboveground biomass, after extreme weather events. Our predictions suggest that the lower functional diversity and lower functional redundancy of drier tropical forests, in comparison with wetter forests, may leave them more at risk of shifting towards alternative states in face of further declines in water availability across tropical regions.
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4
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The Functional Structure of Tropical Plant Communities and Soil Properties Enhance Ecosystem Functioning and Multifunctionality in Different Ecosystems in Ghana. FORESTS 2022. [DOI: 10.3390/f13020297] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Plant functional traits are useful in tracking changes in the environment, and play an important role in determining ecosystem functioning. The relationship between plant functional traits and ecosystem functioning remains unclear, although there is growing evidence on this relationship. In this study, we tested whether the functional structure of vegetation has significant effects on the provision of ecosystem services. We analysed plant trait composition (specific leaf area, leaf carbon and nitrogen ratio, isotopic carbon fraction, stem dry matter content, seed mass and plant height), soil parameters (nutrients, pH, bulk density) and proxies of ecosystem services (carbon stock, decomposition rate, invertebrate activity) in twenty-four plots in three tropical ecosystems (active restored and natural forests and an agroforestry system) in Ghana. For each plot, we measured above-ground biomass, decomposition rates of leaves and invertebrate activity as proxies for the provision of ecosystem services to evaluate (i) whether there were differences in functional composition and soil properties and their magnitude between ecosystem types. We further aimed to (ii) determine whether the functional structure and/or soil parameters drove ecosystem functions and multifunctionality in the three ecosystem types. For functional composition, both the leaf economic spectrum and seed mass dimension clearly separated the ecosystem types. The natural forest was more dominated by acquisitive plants than the other two ecosystem types, while the non-natural forests (agroforest and restored forest) showed higher variation in the functional space. The natural forest had higher values of soil properties than the restored forest and the agroforestry system, with the differences between the restored and agroforestry systems driven by bulk density. Levels of ecosystem service proxies and multifunctionality were positively related to the functional richness of forest plots and were mainly explained by the differences in site conditions. Our study demonstrated the effects of functional forest structure on ecosystem services in different forest ecosystems located in the semi-deciduous forest zone of Ghana.
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5
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Patterns of leaf morphological variation in Quercus frainetto Ten. growing on different soil types in Serbia. ARCH BIOL SCI 2022. [DOI: 10.2298/abs220405018j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Leaf morphology is at a certain level defined by the ways in which plants adapt to different habitats, especially in large trees. In this study, morphological variations in leaf size and shape of the Hungarian oak (Quercus frainetto Ten.) growing on different soil types (lithic leptosol, vertisol, cambisol) were investigated in the central part of Serbia (Sumadija). The information on soil type was obtained using a digitalized soil map of the Republic of Serbia, while leaf traits were characterized by geometric morphometric methods. Landmark analysis and leaf measurements showed significant differences among the analyzed groups, with individuals growing on nutrient-poor, shallow soils having smaller leaves with greater lobation. The observed differences suggest that the levels of soil productivity influence variations in leaf patterns. More studies on a larger sample size and along a broader spatial scale are needed to fully understand the differences in the patterns of leaf morphological variation in Q. frainetto.
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6
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Xu H, Wang H, Prentice IC, Harrison SP, Wang G, Sun X. Predictability of leaf traits with climate and elevation: a case study in Gongga Mountain, China. TREE PHYSIOLOGY 2021; 41:1336-1352. [PMID: 33440428 PMCID: PMC8454210 DOI: 10.1093/treephys/tpab003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 12/09/2020] [Accepted: 01/04/2021] [Indexed: 05/19/2023]
Abstract
Leaf mass per area (Ma), nitrogen content per unit leaf area (Narea), maximum carboxylation capacity (Vcmax) and the ratio of leaf-internal to ambient CO2 partial pressure (χ) are important traits related to photosynthetic function, and they show systematic variation along climatic and elevational gradients. Separating the effects of air pressure and climate along elevational gradients is challenging due to the covariation of elevation, pressure and climate. However, recently developed models based on optimality theory offer an independent way to predict leaf traits and thus to separate the contributions of different controls. We apply optimality theory to predict variation in leaf traits across 18 sites in the Gongga Mountain region. We show that the models explain 59% of trait variability on average, without site- or region-specific calibration. Temperature, photosynthetically active radiation, vapor pressure deficit, soil moisture and growing season length are all necessary to explain the observed patterns. The direct effect of air pressure is shown to have a relatively minor impact. These findings contribute to a growing body of research indicating that leaf-level traits vary with the physical environment in predictable ways, suggesting a promising direction for the improvement of terrestrial ecosystem models.
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Affiliation(s)
- Huiying Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Shuangqing Road, Haidian District, Beijing 100084, China
- Joint Center for Global Change Studies (JCGCS), Shuangqing Road, Haidian District, Beijing 100875, China
| | - Han Wang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Shuangqing Road, Haidian District, Beijing 100084, China
- Joint Center for Global Change Studies (JCGCS), Shuangqing Road, Haidian District, Beijing 100875, China
| | - I Colin Prentice
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Shuangqing Road, Haidian District, Beijing 100084, China
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK
- Department of Biological Sciences, Macquarie University, Balaclava Road, North Ryde, NSW 2109, Australia
| | - Sandy P Harrison
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Shuangqing Road, Haidian District, Beijing 100084, China
- School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading Berkshire RG6 6AH, UK
| | - Genxu Wang
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Renmin South Road, Wuhou District, Chengdu, China
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Renmin South Road, Wuhou District, Chengdu 610065, China
| | - Xiangyang Sun
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Renmin South Road, Wuhou District, Chengdu 610065, China
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7
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Huaraca Huasco W, Riutta T, Girardin CAJ, Hancco Pacha F, Puma Vilca BL, Moore S, Rifai SW, Del Aguila-Pasquel J, Araujo Murakami A, Freitag R, Morel AC, Demissie S, Doughty CE, Oliveras I, Galiano Cabrera DF, Durand Baca L, Farfán Amézquita F, Silva Espejo JE, da Costa ACL, Oblitas Mendoza E, Quesada CA, Evouna Ondo F, Edzang Ndong J, Jeffery KJ, Mihindou V, White LJT, N'ssi Bengone N, Ibrahim F, Addo-Danso SD, Duah-Gyamfi A, Djaney Djagbletey G, Owusu-Afriyie K, Amissah L, Mbou AT, Marthews TR, Metcalfe DB, Aragão LEO, Marimon-Junior BH, Marimon BS, Majalap N, Adu-Bredu S, Abernethy KA, Silman M, Ewers RM, Meir P, Malhi Y. Fine root dynamics across pantropical rainforest ecosystems. GLOBAL CHANGE BIOLOGY 2021; 27:3657-3680. [PMID: 33982340 DOI: 10.1111/gcb.15677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/27/2021] [Accepted: 03/12/2021] [Indexed: 06/12/2023]
Abstract
Fine roots constitute a significant component of the net primary productivity (NPP) of forest ecosystems but are much less studied than aboveground NPP. Comparisons across sites and regions are also hampered by inconsistent methodologies, especially in tropical areas. Here, we present a novel dataset of fine root biomass, productivity, residence time, and allocation in tropical old-growth rainforest sites worldwide, measured using consistent methods, and examine how these variables are related to consistently determined soil and climatic characteristics. Our pantropical dataset spans intensive monitoring plots in lowland (wet, semi-deciduous, and deciduous) and montane tropical forests in South America, Africa, and Southeast Asia (n = 47). Large spatial variation in fine root dynamics was observed across montane and lowland forest types. In lowland forests, we found a strong positive linear relationship between fine root productivity and sand content, this relationship was even stronger when we considered the fractional allocation of total NPP to fine roots, demonstrating that understanding allocation adds explanatory power to understanding fine root productivity and total NPP. Fine root residence time was a function of multiple factors: soil sand content, soil pH, and maximum water deficit, with longest residence times in acidic, sandy, and water-stressed soils. In tropical montane forests, on the other hand, a different set of relationships prevailed, highlighting the very different nature of montane and lowland forest biomes. Root productivity was a strong positive linear function of mean annual temperature, root residence time was a strong positive function of soil nitrogen content in montane forests, and lastly decreasing soil P content increased allocation of productivity to fine roots. In contrast to the lowlands, environmental conditions were a better predictor for fine root productivity than for fractional allocation of total NPP to fine roots, suggesting that root productivity is a particularly strong driver of NPP allocation in tropical mountain regions.
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Affiliation(s)
- Walter Huaraca Huasco
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Terhi Riutta
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Cécile A J Girardin
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | | | | | - Sam Moore
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Sami W Rifai
- ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
| | | | - Alejandro Araujo Murakami
- Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia
| | - Renata Freitag
- Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, Nova Xavantina, MT, Brazil
| | - Alexandra C Morel
- Department of Geography and Environmental Science, University of Dundee, Dundee, UK
| | | | - Christopher E Doughty
- School of Informatics, Computing and Cyber systems, Northern Arizona University, Flagstaff, AZ, USA
| | - Imma Oliveras
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | | | | | | | | | | | | | | | | | | | | | - Vianet Mihindou
- Ministère de la Foret, de la Mer, de l'Environnement, Chargé Du Plan Climat, Libreville, Gabon
| | - Lee J T White
- Ministère de la Foret, de la Mer, de l'Environnement, Chargé Du Plan Climat, Libreville, Gabon
| | - Natacha N'ssi Bengone
- Ministère de la Foret, de la Mer, de l'Environnement, Chargé Du Plan Climat, Libreville, Gabon
| | - Forzia Ibrahim
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | - Shalom D Addo-Danso
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | - Akwasi Duah-Gyamfi
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | - Gloria Djaney Djagbletey
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | - Kennedy Owusu-Afriyie
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | - Lucy Amissah
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | - Armel T Mbou
- Centro Euro-Mediterraneo sui Cambiamenti Climatici, Leece, Italy
| | | | - Daniel B Metcalfe
- Department of Ecology and Environment Science, Umeå University, Umeå, Sweden
| | - Luiz E O Aragão
- Divisão de Sensoriamento Remoto-DIDSR, Instituto Nacional de Pesquisas Espaciais, São Jose dos Campos, SP, Brazil
| | - Ben H Marimon-Junior
- Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, Nova Xavantina, MT, Brazil
| | - Beatriz S Marimon
- Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, Nova Xavantina, MT, Brazil
| | - Noreen Majalap
- Sabah Forestry Department, Forest Research Centre, Sabah, Malaysia
| | - Stephen Adu-Bredu
- Forestry Research Institute of Ghana, Council for Scientific and Industrial Research, University, Kumasi, Ghana
| | | | - Miles Silman
- Department of Biology, Wake Forest University, Winston-Salem, NC, USA
| | - Robert M Ewers
- Department of Life Science, Imperial College London, Ascot, UK
| | - Patrick Meir
- Research School of Biology, Australian National University, Canberra, ACT, Australia
- School of Geosciences, University of Edinburgh, Edinburgh, UK
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
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8
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Peng Y, Bloomfield KJ, Cernusak LA, Domingues TF, Colin Prentice I. Global climate and nutrient controls of photosynthetic capacity. Commun Biol 2021; 4:462. [PMID: 33846550 PMCID: PMC8042000 DOI: 10.1038/s42003-021-01985-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 03/10/2021] [Indexed: 11/08/2022] Open
Abstract
There is huge uncertainty about how global exchanges of carbon between the atmosphere and land will respond to continuing environmental change. A better representation of photosynthetic capacity is required for Earth System models to simulate carbon assimilation reliably. Here we use a global leaf-trait dataset to test whether photosynthetic capacity is quantitatively predictable from climate, based on optimality principles; and to explore how this prediction is modified by soil properties, including indices of nitrogen and phosphorus availability, measured in situ. The maximum rate of carboxylation standardized to 25 °C (Vcmax25) was found to be proportional to growing-season irradiance, and to increase-as predicted-towards both colder and drier climates. Individual species' departures from predicted Vcmax25 covaried with area-based leaf nitrogen (Narea) but community-mean Vcmax25 was unrelated to Narea, which in turn was unrelated to the soil C:N ratio. In contrast, leaves with low area-based phosphorus (Parea) had low Vcmax25 (both between and within communities), and Parea increased with total soil P. These findings do not support the assumption, adopted in some ecosystem and Earth System models, that leaf-level photosynthetic capacity depends on soil N supply. They do, however, support a previously-noted relationship between photosynthesis and soil P supply.
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Affiliation(s)
- Yunke Peng
- Masters Programme in Ecosystems and Environmental Change, Department of Life Sciences, Imperial College London, Ascot, UK
- Department of Environmental Systems Science, ETH, Zurich, Switzerland
- Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland
| | | | - Lucas A Cernusak
- Centre for Tropical Environmental Sustainability Studies, James Cook University, Cairns, QLD, Australia
| | - Tomas F Domingues
- FFCLRP, Department of Biology, University of São Paulo, Ribeirão Preto, Brazil
| | - I Colin Prentice
- Department of Life Sciences, Imperial College London, Ascot, UK.
- Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia.
- Department of Earth System Science, Tsinghua University, Beijing, China.
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9
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Doughty CE, Cheesman AW, Riutta T, Thomson ER, Shenkin A, Nottingham AT, Telford EM, Huaraca Huasco W, Majalap N, Arn Teh Y, Meir P, Malhi Y. Predicting tropical tree mortality with leaf spectroscopy. Biotropica 2020. [DOI: 10.1111/btp.12901] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Christopher E. Doughty
- School of Informatics, Computing, and Cyber Systems Northern Arizona University Flagstaff AZ USA
| | - Alexander W. Cheesman
- College of Life and Environmental Sciences University of Exeter Exeter UK
- College of Science & Engineering James Cook University Cairns Qld Australia
| | - Terhi Riutta
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
- Department of Life Sciences Imperial College London Ascot UK
| | - Eleanor R. Thomson
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
| | - Alexander Shenkin
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
| | - Andrew T. Nottingham
- School of Geography, University of Leeds Leeds UK
- School of Geosciences University of Edinburgh Edinburgh UK
| | | | - Walter Huaraca Huasco
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
| | - Noreen Majalap
- Forest Research Centre Sabah Forestry Department Sandakan Malaysia
| | - Yit Arn Teh
- School of Natural and Environmental Sciences Newcastle University Newcastle Upon Tyne UK
| | - Patrick Meir
- School of Geosciences University of Edinburgh Edinburgh UK
- Research School of Biology Australian National University Canberra ACT Australia
| | - Yadvinder Malhi
- Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK
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10
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Overlapping Water and Nutrient Use Efficiencies and Carbon Assimilation between Coexisting Simple- and Compound-Leaved Trees from a Valley Savanna. WATER 2020. [DOI: 10.3390/w12113037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Identifying differences in ecophysiology between simple and compound leaves can help understand the adaptive significance of the compound leaf form and its response to climate change. However, we still know surprisingly little about differences in water and nutrient use, and photosynthetic capacity between co-occurring compound-leaved and simple-leaved tree species, especially in savanna ecosystems with dry-hot climate conditions. From July to September in 2015, we investigated 16 functional traits associated with water use, nutrients, and photosynthesis of six deciduous tree species (three simple-leaved and three compound-leaved species) coexisting in a valley-savanna in Southwest China. Our major objective was to test the variation in these functional traits between these two leaf forms. Overall, overlapping leaf mass per area (LMA), photosynthesis, as well as leaf nitrogen and phosphorus concentrations were found between these coexisting valley-savanna simple- and compound-leaved tree species. We didn’t find significant differences in water and photosynthetic nitrogen or phosphorus use efficiency between simple and compound leaves. Across these simple- and compound-leaved tree species, photosynthetic phosphorus use efficiencies were positively related to LMA and negatively correlated with phosphorus concentration per mass or area. Water use efficiency (intrinsic water use efficiency or stable carbon isotopic composition) was independent of all leaf traits. Similar ecophysiology strategies among these coexisting valley-savanna simple- and compound-leaved species suggested a convergence in ecological adaptation to the hot and dry environment. The overlap in traits related to water use, carbon assimilation, and stress tolerance (e.g., LMA) also suggests a similar response of these two leaf forms to a hotter and drier future due to the climate change.
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11
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Ziegler C, Dusenge ME, Nyirambangutse B, Zibera E, Wallin G, Uddling J. Contrasting Dependencies of Photosynthetic Capacity on Leaf Nitrogen in Early- and Late-Successional Tropical Montane Tree Species. FRONTIERS IN PLANT SCIENCE 2020; 11:500479. [PMID: 33042168 PMCID: PMC7527595 DOI: 10.3389/fpls.2020.500479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 08/31/2020] [Indexed: 05/29/2023]
Abstract
Differences in photosynthetic capacity among tree species and tree functional types are currently assumed to be largely driven by variation in leaf nutrient content, particularly nitrogen (N). However, recent studies indicate that leaf N content is often a poor predictor of variation in photosynthetic capacity in tropical trees. In this study, we explored the relative importance of area-based total leaf N content (Ntot) and within-leaf N allocation to photosynthetic capacity versus light-harvesting in controlling the variation in photosynthetic capacity (i.e. V cmax, J max) among mature trees of 12 species belonging to either early (ES) or late successional (LS) groups growing in a tropical montane rainforest in Rwanda, Central Africa. Photosynthetic capacity at a common leaf temperature of 25˚C (i.e. maximum rates of Rubisco carboxylation, V cmax25 and of electron transport, J max25) was higher in ES than in LS species (+ 58% and 68% for V cmax25 and J max25, respectively). While Ntot did not significantly differ between successional groups, the photosynthetic dependency on Ntot was markedly different. In ES species, V cmax25 was strongly and positively related to Ntot but this was not the case in LS species. However, there was no significant trade-off between relative leaf N investments in compounds maximizing photosynthetic capacity versus compounds maximizing light harvesting. Both leaf dark respiration at 25˚C (+ 33%) and, more surprisingly, apparent photosynthetic quantum yield (+ 35%) was higher in ES than in LS species. Moreover, Rd25 was positively related to Ntot for both ES and LS species. Our results imply that efforts to quantify carbon fluxes of tropical montane rainforests would be improved if they considered contrasting within-leaf N allocation and photosynthetic Ntot dependencies between species with different successional strategies.
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Affiliation(s)
- Camille Ziegler
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- UMR EcoFoG, AgroParisTech, CNRS, CIRAD, INRAE, Université des Antilles, Université de Guyane, Kourou, France
- Université de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, France
| | - Mirindi Eric Dusenge
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Department of Biology, University of Rwanda, Huye, Rwanda
- Department of Biology, The University of Western Ontario, London, ON, Canada
| | - Brigitte Nyirambangutse
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Department of Biology, University of Rwanda, Huye, Rwanda
| | - Etienne Zibera
- Department of Biology, University of Rwanda, Huye, Rwanda
| | - Göran Wallin
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Johan Uddling
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
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