Reconciling inconsistencies in precipitation–productivity relationships implications for climate change

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. Empiri...

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Vydané v:	The New phytologist Ročník 214; číslo 1; s. 41 - 47
Hlavní autori:	Knapp, Alan K., Ciais, Philippe, Smith, Melinda D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England New Phytologist Trust 01.04.2017 Wiley Subscription Services, Inc Wiley
Predmet:	Arid zones Atmosphere Biogeochemistry Carbon cycle Climate Change climate extremes Continental interfaces, environment Data collection Drought Ecological function Ecosystem structure ecosystems Environmental impact Extreme drought Grasslands Hydrologic cycle Models, Theoretical Moisture content Nonlinear Dynamics nonlinear models Ocean, Atmosphere Plant biomass Plant Development Plant growth precipitation Primary production primary productivity productivity Rain Sciences of the Universe Semiarid lands Soil water Statistical models Tansley insight Terrestrial ecosystems Terrestrial environments Time Factors Variability vegetation Vegetation patterns Water use precipitation productivity drought carbon cycle variability climate change climate extremes
ISSN:	0028-646X, 1469-8137
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Shrnutí:	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.
Bibliografia:	214 Luo , 5–7 See also the Commentary on this article by et al. . ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-3 content type line 23 ObjectType-Review-1
ISSN:	0028-646X 1469-8137
DOI:	10.1111/nph.14381