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. 2022 Nov;110(11):2585-2602.
doi: 10.1111/1365-2745.13967. Epub 2022 Aug 1.

Leaf nitrogen from the perspective of optimal plant function

Affiliations

Leaf nitrogen from the perspective of optimal plant function

Ning Dong et al. J Ecol. 2022 Nov.

Abstract

Leaf dry mass per unit area (LMA), carboxylation capacity (V cmax) and leaf nitrogen per unit area (Narea) and mass (Nmass) 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 Narea to be predicted as functions of the growth environment.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.LMA was the most important predictor of Narea (increasing) and Nmass (decreasing). About 60% of global variation across species and sites in observed Narea, and 31% in Nmass, 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 Narea. Predicted V cmax25 was biased low on clay-rich soils but predicted LMA was biased high, with compensating effects on Narea. Narea was overpredicted on organic soils. Synthesis. Global patterns of variation in observed site-mean Narea 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.

Keywords: coordination hypothesis; ecosystem model; leaf mass per area; leaf nitrogen; least‐cost hypothesis; nitrogen cycle; photosynthetic capacity.

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Conflict of interest statement

There is no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Partial residual plots of leaf nitrogen per unit area (Narea, g m−2) as an additive function of (a) leaf mass per area (LMA, g m−2) and (b) carboxylation capacity at 25°C (V cmax25, μmol m−2 s−1) across all species, based on the main regression equation of Table 1 (Narea ~ LMA + V cmax25 + LMA × Nfixer). Each plot shows values of Narea corrected by holding the other variable constant at its median value. Nitrogen‐fixers (Nfixer) are in blue, non‐nitrogen‐fixers in red. Coloured lines are partial regression lines; shading indicates 95% confidence bands.
FIGURE 2
FIGURE 2
Relative importance of each variable in explaining the variation of leaf nitrogen per unit area (Narea, g m−2) across all species. Leaf mass per unit area (LMA, g m−2), carboxylation capacity at 25°C (V cmax25, μmol m−2 s−1).
FIGURE 3
FIGURE 3
Partial residual plots of log‐transformed carboxylation capacity at growth temperature (V cmax,gt, μmol m−2 s−1) (a–c) and at 25°C (d–f) versus (a, d) growing‐season daytime mean temperature (T, °C), (b, e) log‐transformed growing‐season daytime mean photosynthetic photon flux density (I L, μmol m−2 s−1), and (c, f) growing‐season daytime vapour pressure deficit (D, kPa) across all species. Black lines are partial regression lines; grey shading indicates 95% confidence bands.
FIGURE 4
FIGURE 4
Partial residual plots of log‐transformed leaf mass per unit area (LMA, g m−2) versus growing‐season daytime mean temperature (T, °C), log‐transformed growing‐season mean daily total photosynthetic photon flux density (I L*, mol m−2 day−1), growing‐season length as a fraction of the year (f, day day−1), and actual/equilibrium evapotranspiration (α, dimensionless) in evergreen (a–d) and deciduous (e–h) woody plants. Black lines are partial regression lines; grey shading indicates 95% confidence bands.
FIGURE 5
FIGURE 5
Predicted versus observed all‐species (a–c) and site‐mean (d–f) carboxylation capacity at 25°C (V cmax25, μmol m−2 s−1), leaf mass per unit area (LMA, g m−2) and leaf nitrogen per unit area (Narea, g m−2). The dashed lines are the 1:1 lines. Coloured lines are regression lines; shading indicates 95% confidence bands. Blue: evergreen species, red: deciduous species.

References

    1. Adams, M. A. , Turnbull, T. L. , Sprent, J. I. , & Buchmann, N. (2016). Legumes are different: Leaf nitrogen, photosynthesis, and water use efficiency. Proceedings of the National Academy of Sciences of the United States of America, 113, 4098–4103. - PMC - PubMed
    1. Ali, A. A. , Xu, C. , Rogers, A. , Fisher, R. A. , Wullschleger, S. D. , Massoud, E. C. , Vrugt, J. A. , Muss, J. D. , McDowell, N. G. , Fisher, J. B. , Reich, P. B. , & Wilson, C. J. (2016). A global scale mechanistic model of photosynthetic capacity (LUNA V1.0). Geoscientific Model Development, 9, 587–606.
    1. Batjes, N. H. (2016). Harmonized soil property values for broad‐scale modelling (WISE30sec) with estimates of global soil carbon stocks. Geoderma, 269, 61–68.
    1. Bernacchi, C. J. , Pimentel, C. , & Long, S. P. (2003). In vivo temperature response functions of parameters required to model RuBP‐limited photosynthesis. Plant, Cell & Environment, 26, 1419–1430.
    1. Bernacchi, C. J. , Singsaas, E. L. , Pimentel, C. , Portis, A. R., Jr. , & Long, S. P. (2001). Improved temperature response functions for models of Rubisco‐limited photosynthesis. Plant, Cell & Environment, 24, 253–259.

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