Plant allometry, stoichiometry and the temperature-dependence of primary productivity

被引:121
作者
Kerkhoff, AJ
Enquist, BJ
Elser, JJ
Fagan, WF
机构
[1] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA
[2] Arizona State Univ, Dept Biol, Tempe, AZ 85287 USA
[3] Univ Maryland, Dept Biol, College Pk, MD 20742 USA
来源
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2005年 / 14卷 / 06期
关键词
ecosystems; global ecology; gradients; growth-rate hypothesis; macroecology; nutrient productivity; scaling;
D O I
10.1111/j.1466-822x.2005.00187.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Aim While physical constraints influence terrestrial primary productivity, the extent to which geographical variation in productivity is influenced by physiological adaptations and changes in vegetation structure is unclear. Further, quantifying the effect of variability in species traits on ecosystems remains a critical research challenge. Here, we take a macroecological approach and ask if variation in the stoichiometric traits (C: N: P ratios) of plants and primary productivity across global-scale temperature gradients is consistent with a scaling model that integrates recent insights from the theories of metabolic scaling and ecological stoichiometry. Location This study is global in scope, encompassing a wide variety of terrestrial plant communities. Methods We first develop a scaling model that incorporates potentially adaptive variation in leaf and whole-plant nutrient content, kinetic aspects of photosynthesis and plant respiration, and the allometry of biomass partitioning and allocation. We then examine extensive data sets concerning the stoichiometry and productivity of diverse plant communities in light of the model. Results Across diverse ecosystems, both foliar stoichiometry (N : P) and 'nitrogen productivity' (which depends on both community size structure and plant nutrient content) vary systematically across global scale temperature gradients. Primary productivity shows no relationship to temperature. Main conclusions The model predicts that the observed patterns of variation in plant stoichiometry and nutrient productivity may offset the temperature dependence of primary production expected from the kinetics of photosynthesis alone. Our approach provides a quantitative framework for treating potentially adaptive functional variation across communities as a continuum and may thus inform studies of global change. More generally, our approach represents one of the first explicit combinations of ecological stoichiometry and metabolic scaling theories in the analysis of macroecological patterns.
引用
收藏
页码:585 / 598
页数:14
相关论文
共 100 条
[1]   An analysis of some diverse approaches to modelling terrestrial net primary productivity [J].
Adams, B ;
White, A ;
Lenton, TM .
ECOLOGICAL MODELLING, 2004, 177 (3-4) :353-391
[2]  
AGREN GI, 1988, PLANT CELL ENVIRON, V11, P613
[3]   The C : N : P stoichiometry of autotrophs -: theory and observations [J].
Ågren, GI .
ECOLOGY LETTERS, 2004, 7 (03) :185-191
[4]  
Agren GI, 1996, THEORETICAL ECOSYSTE
[5]   Linking the global carbon cycle to individual metabolism [J].
Allen, AP ;
Gillooly, JF ;
Brown, JH .
FUNCTIONAL ECOLOGY, 2005, 19 (02) :202-213
[6]   The McCree-de Wit-Penning de Vries-Thornley respiration paradigms: 30 years later [J].
Amthor, JS .
ANNALS OF BOTANY, 2000, 86 (01) :1-20
[7]  
AMTHOR JS, 1984, PLANT CELL ENVIRON, V7, P561, DOI 10.1111/1365-3040.ep11591833
[8]   On using eco-physiological, micrometeorological and biogeochemical theory to evaluate carbon dioxide, water vapor and trace gas fluxes over vegetation: a perspective [J].
Baldocchi, D ;
Meyers, T .
AGRICULTURAL AND FOREST METEOROLOGY, 1998, 90 (1-2) :1-25
[9]   Size and form in efficient transportation networks [J].
Banavar, JR ;
Maritan, A ;
Rinaldo, A .
NATURE, 1999, 399 (6732) :130-132
[10]   In vivo temperature response functions of parameters required to model RuBP-limited photosynthesis [J].
Bernacchi, CJ ;
Pimentel, C ;
Long, SP .
PLANT CELL AND ENVIRONMENT, 2003, 26 (09) :1419-1430