Leaf nitrogen from first principles: field evidence for adaptive variation with climate

作者: Ning Dong , Iain Colin Prentice , Bradley J. Evans , Stefan Caddy-Retalic , Andrew J. Lowe

DOI: 10.5194/BG-14-481-2017

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摘要: Abstract. Nitrogen content per unit leaf area (Narea) is a key variable in plant functional ecology and biogeochemistry. Narea comprises structural component, which scales with mass (LMA), metabolic Rubisco capacity. The co-ordination hypothesis, as implemented LPJ related global vegetation models, predicts that capacity should be directly proportional to irradiance but decrease increases ci : ca temperature because the amount of required achieve given assimilation rate declines both. We tested these predictions using LMA, δ13C, N measurements on complete species assemblages sampled at sites north–south transect from tropical temperate Australia. Partial effects mean canopy irradiance, annual temperature, (from δ13C) were all significant their directions magnitudes line predictions. Over 80 % variance community-mean (ln) was accounted for by predictors plus LMA. Moreover, could decomposed into two components, one LMA (slightly steeper N-fixers), other predicted hypothesis. Trait gradient analysis revealed perfectly plastic, while turnover contributed about half variation Narea. Interest has surged methods predict continuous leaf-trait environmental factors, order improve ecosystem models. Coupled carbon–nitrogen models require method more realistic than widespread assumptions photosynthetic capacity, and/or (and capacity) are determined supply soil. Our results indicate useful degree predictability, combination – themselves part environmentally activity, local growing conditions. This finding consistent plant-centred approach modelling, emphasizing adaptive regulation traits. Models account biodiversity will also need partition community-level trait components due phenotypic plasticity genotypic differentiation within vs. progressive replacement, along gradients. suggests evenly split between modes.

参考文章(57)
A.D. Bradshaw, Evolutionary Significance of Phenotypic Plasticity in Plants Advances in Genetics. ,vol. 13, pp. 115- 155 ,(1965) , 10.1016/S0065-2660(08)60048-6
I. C. Prentice, D. I. Kelley, P. N. Foster, P. Friedlingstein, S. P. Harrison, P. J. Bartlein, Modeling fire and the terrestrial carbon balance Global Biogeochemical Cycles. ,vol. 25, pp. 1- 13 ,(2011) , 10.1029/2010GB003906
Peter E. Thornton, Jean-François Lamarque, Nan A. Rosenbloom, Natalie M. Mahowald, Influence of carbon‐nitrogen cycle coupling on land model response to CO2 fertilization and climate variability Global Biogeochemical Cycles. ,vol. 21, ,(2007) , 10.1029/2006GB002868
A. Haxeltine, I. C. Prentice, A general model for the light-use efficiency of primary production Functional Ecology. ,vol. 10, pp. 551- 561 ,(1996) , 10.2307/2390165
AV Gallego-Sala, JM Clark, JI House, HG Orr, IC Prentice, P Smith, T Farewell, SJ Chapman, Bioclimatic envelope model of climate change impacts on blanket peatland distribution in Great Britain Climate Research. ,vol. 45, pp. 151- 162 ,(2010) , 10.3354/CR00911
DEREK T. A. LAMPORT, D. H. NORTHCOTE, Hydroxyproline in Primary Cell Walls of Higher Plants Nature. ,vol. 188, pp. 665- 666 ,(1960) , 10.1038/188665B0
Sandy P. Harrison, I. Colin Prentice, Doris Barboni, Karen E. Kohfeld, Jian Ni, Jean-Pierre Sutra, Ecophysiological and bioclimatic foundations for a global plant functional classification Journal of Vegetation Science. ,vol. 21, pp. 300- 317 ,(2010) , 10.1111/J.1654-1103.2009.01144.X
I. Colin Prentice, Ning Dong, Sean M. Gleason, Vincent Maire, Ian J. Wright, Balancing the costs of carbon gain and water transport : testing a new theoretical framework for plant functional ecology Ecology Letters. ,vol. 17, pp. 82- 91 ,(2014) , 10.1111/ELE.12211
P. K. Sen, Richard H. Lindeman, Peter F. Merenda, Ruth Z. Gold, Introduction to bivariate and multivariate analysis Journal of the American Statistical Association. ,vol. 76, pp. 752- ,(1981) , 10.2307/2287559