Reconciling inconsistencies in precipitation-productivity relationships: implications for climate change

被引:306
|
作者
Knapp, Alan K. [1 ,2 ]
Ciais, Philippe [3 ]
Smith, Melinda D. [1 ,2 ]
机构
[1] Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA
[3] CEA CNRS UVSQ, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France
基金
美国国家科学基金会;
关键词
carbon cycle; climate change; climate extremes; drought; precipitation; productivity; variability; NET PRIMARY PRODUCTIVITY; TERRESTRIAL ECOSYSTEMS; EXTREME EVENTS; USE EFFICIENCY; TIME-SCALES; CARBON; TEMPERATURE; DROUGHT; SENSITIVITY; GRASSLAND;
D O I
10.1111/nph.14381
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Precipitation (PPT) is a primary climatic determinant of plant growth and aboveground net primary production (ANPP) over much of the globe. Thus, PPT-ANPP relationships are important both ecologically and to land-atmosphere models that couple terrestrial vegetation to the global carbon cycle. Empirical PPT-ANPP relationships derived from long-term site-based data are almost always portrayed as linear, but recent evidence has accumulated that is inconsistent with an underlying linear relationship. We review, and then reconcile, these inconsistencies with a nonlinear model that incorporates observed asymmetries in PPT-ANPP relationships. Although data are currently lacking for parameterization, this new model highlights research needs that, when met, will improve our understanding of carbon cycle dynamics, as well as forecasts of ecosystem responses to climate change.
引用
收藏
页码:41 / 47
页数:7
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