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Leaf nitrogen from the perspective of optimal plant function

1. Leaf dry mass per unit area (LMA), carboxylation capacity (V (cmax)) and leaf nitrogen per unit area (N(area)) and mass (N(mass)) are key traits for plant functional ecology and ecosystem modelling. There is however no consensus about how these traits are regulated, or how they should be modelled...

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Autores principales: Dong, Ning, Prentice, Iain Colin, Wright, Ian J., Wang, Han, Atkin, Owen K., Bloomfield, Keith J., Domingues, Tomas F., Gleason, Sean M., Maire, Vincent, Onoda, Yusuke, Poorter, Hendrik, Smith, Nicholas G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804922/
https://www.ncbi.nlm.nih.gov/pubmed/36619687
http://dx.doi.org/10.1111/1365-2745.13967
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author Dong, Ning
Prentice, Iain Colin
Wright, Ian J.
Wang, Han
Atkin, Owen K.
Bloomfield, Keith J.
Domingues, Tomas F.
Gleason, Sean M.
Maire, Vincent
Onoda, Yusuke
Poorter, Hendrik
Smith, Nicholas G.
author_facet Dong, Ning
Prentice, Iain Colin
Wright, Ian J.
Wang, Han
Atkin, Owen K.
Bloomfield, Keith J.
Domingues, Tomas F.
Gleason, Sean M.
Maire, Vincent
Onoda, Yusuke
Poorter, Hendrik
Smith, Nicholas G.
author_sort Dong, Ning
collection PubMed
description 1. Leaf dry mass per unit area (LMA), carboxylation capacity (V (cmax)) and leaf nitrogen per unit area (N(area)) and mass (N(mass)) are key traits for plant functional ecology and ecosystem modelling. There is however no consensus about how these traits are regulated, or how they should be modelled. Here we confirm that observed leaf nitrogen across species and sites can be estimated well from observed LMA and V (cmax) at 25°C (V (cmax25)). We then test the hypothesis that global variations of both quantities depend on climate variables in specific ways that are predicted by leaf‐level optimality theory, thus allowing both N(area) to be predicted as functions of the growth environment. 2. A new global compilation of field measurements was used to quantify the empirical relationships of leaf N to V (cmax25) and LMA. Relationships of observed V (cmax25) and LMA to climate variables were estimated, and compared to independent theoretical predictions of these relationships. Soil effects were assessed by analysing biases in the theoretical predictions. 3. LMA was the most important predictor of N(area) (increasing) and N(mass) (decreasing). About 60% of global variation across species and sites in observed N(area), and 31% in N(mass), could be explained by observed LMA and V (cmax25). These traits, in turn, were quantitatively related to climate variables, with significant partial relationships similar or indistinguishable from those predicted by optimality theory. Predicted trait values explained 21% of global variation in observed site‐mean V (cmax25), 43% in LMA and 31% in N(area). Predicted V (cmax25) was biased low on clay‐rich soils but predicted LMA was biased high, with compensating effects on N(area). N(area) was overpredicted on organic soils. 4. Synthesis. Global patterns of variation in observed site‐mean N(area) can be explained by climate‐induced variations in optimal V (cmax25) and LMA. Leaf nitrogen should accordingly be modelled as a consequence (not a cause) of V (cmax25) and LMA, both being optimized to the environment. Nitrogen limitation of plant growth would then be modelled principally via whole‐plant carbon allocation, rather than via leaf‐level traits. Further research is required to better understand and model the terrestrial nitrogen and carbon cycles and their coupling.
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spelling pubmed-98049222023-01-06 Leaf nitrogen from the perspective of optimal plant function Dong, Ning Prentice, Iain Colin Wright, Ian J. Wang, Han Atkin, Owen K. Bloomfield, Keith J. Domingues, Tomas F. Gleason, Sean M. Maire, Vincent Onoda, Yusuke Poorter, Hendrik Smith, Nicholas G. J Ecol Research Articles 1. Leaf dry mass per unit area (LMA), carboxylation capacity (V (cmax)) and leaf nitrogen per unit area (N(area)) and mass (N(mass)) are key traits for plant functional ecology and ecosystem modelling. There is however no consensus about how these traits are regulated, or how they should be modelled. Here we confirm that observed leaf nitrogen across species and sites can be estimated well from observed LMA and V (cmax) at 25°C (V (cmax25)). We then test the hypothesis that global variations of both quantities depend on climate variables in specific ways that are predicted by leaf‐level optimality theory, thus allowing both N(area) to be predicted as functions of the growth environment. 2. A new global compilation of field measurements was used to quantify the empirical relationships of leaf N to V (cmax25) and LMA. Relationships of observed V (cmax25) and LMA to climate variables were estimated, and compared to independent theoretical predictions of these relationships. Soil effects were assessed by analysing biases in the theoretical predictions. 3. LMA was the most important predictor of N(area) (increasing) and N(mass) (decreasing). About 60% of global variation across species and sites in observed N(area), and 31% in N(mass), could be explained by observed LMA and V (cmax25). These traits, in turn, were quantitatively related to climate variables, with significant partial relationships similar or indistinguishable from those predicted by optimality theory. Predicted trait values explained 21% of global variation in observed site‐mean V (cmax25), 43% in LMA and 31% in N(area). Predicted V (cmax25) was biased low on clay‐rich soils but predicted LMA was biased high, with compensating effects on N(area). N(area) was overpredicted on organic soils. 4. Synthesis. Global patterns of variation in observed site‐mean N(area) can be explained by climate‐induced variations in optimal V (cmax25) and LMA. Leaf nitrogen should accordingly be modelled as a consequence (not a cause) of V (cmax25) and LMA, both being optimized to the environment. Nitrogen limitation of plant growth would then be modelled principally via whole‐plant carbon allocation, rather than via leaf‐level traits. Further research is required to better understand and model the terrestrial nitrogen and carbon cycles and their coupling. John Wiley and Sons Inc. 2022-08-01 2022-11 /pmc/articles/PMC9804922/ /pubmed/36619687 http://dx.doi.org/10.1111/1365-2745.13967 Text en © 2022 The Authors. Journal of Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Dong, Ning
Prentice, Iain Colin
Wright, Ian J.
Wang, Han
Atkin, Owen K.
Bloomfield, Keith J.
Domingues, Tomas F.
Gleason, Sean M.
Maire, Vincent
Onoda, Yusuke
Poorter, Hendrik
Smith, Nicholas G.
Leaf nitrogen from the perspective of optimal plant function
title Leaf nitrogen from the perspective of optimal plant function
title_full Leaf nitrogen from the perspective of optimal plant function
title_fullStr Leaf nitrogen from the perspective of optimal plant function
title_full_unstemmed Leaf nitrogen from the perspective of optimal plant function
title_short Leaf nitrogen from the perspective of optimal plant function
title_sort leaf nitrogen from the perspective of optimal plant function
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804922/
https://www.ncbi.nlm.nih.gov/pubmed/36619687
http://dx.doi.org/10.1111/1365-2745.13967
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