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Empirically Derived Sensitivity of Vegetation to Climate across Global Gradients of Temperature and Precipitation

Quetin, Gregory R. and Swann, Abigail (2017) Empirically Derived Sensitivity of Vegetation to Climate across Global Gradients of Temperature and Precipitation. Journal of Climate, 30 (15). pp. 5835-5849. ISSN 0894-8755. http://resolver.caltech.edu/CaltechAUTHORS:20170807-095832520

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Abstract

The natural composition of terrestrial ecosystems can be shaped by climate to take advantage of local environmental conditions. Ecosystem functioning (e.g., interaction between photosynthesis and temperature) can also acclimate to different climatological states. The combination of these two factors thus determines ecological–climate interactions. A global empirical map of the sensitivity of vegetation to climate is derived using the response of satellite-observed greenness to interannual variations in temperature and precipitation. Mechanisms constraining ecosystem functioning are inferred by analyzing how the sensitivity of vegetation to climate varies across climate space. Analysis yields empirical evidence for multiple physical and biological mediators of the sensitivity of vegetation to climate at large spatial scales. In hot and wet locations, vegetation is greener in warmer years despite temperatures likely exceeding thermally optimum conditions. However, sunlight generally increases during warmer years, suggesting that the increased stress from higher atmospheric water demand is offset by higher rates of photosynthesis. The sensitivity of vegetation transitions in sign (greener when warmer or drier to greener when cooler or wetter) along an emergent line in climate space with a slope of about 59 mm yr^(−1) °C^(−1), twice as steep as contours of aridity. The mismatch between these slopes is evidence at a global scale of the limitation of both water supply due to inefficiencies in plant access to rainfall and plant physiological responses to atmospheric water demand. This empirical pattern can provide a functional constraint for process-based models, helping to improve predictions of the global-scale response of vegetation to a changing climate.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1175/JCLI-D-16-0829.1DOIArticle
http://journals.ametsoc.org/doi/10.1175/JCLI-D-16-0829.1PublisherArticle
Additional Information:© 2017 American Meteorological Society. Received: 18 November 2016; Final form: 10 April 2017; Published online: 30 June 2017. We would like to acknowledge Leander Love-Anderegg, Robin Ross, Langdon Quetin, Marysa Lague, Elizabeth Garcia, and Marlies Kovenock for providing comments on the paper. The work was partially conducted while GRQ was supported by the University of Washington Program on Climate Change Fellowship. We would also like to acknowledge the Keck Institute for Space Studies at the California Institute of Technology who hosted GRQ during part of this work. We acknowledge National Science Foundation Grants AGS-1321745 and AGS-1553715. All the original data used in our analysis are listed in the references.
Group:Keck Institute for Space Studies
Funders:
Funding AgencyGrant Number
University of WashingtonUNSPECIFIED
NSFAGS-1321745
NSFAGS-1553715
Subject Keywords:and surface; Atmosphere-land interaction; Biosphere-atmosphere interaction; Climate classification/regimes; Climate classification/regimes
Record Number:CaltechAUTHORS:20170807-095832520
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170807-095832520
Official Citation:Quetin, G.R. and A.L. Swann, 2017: Empirically Derived Sensitivity of Vegetation to Climate across Global Gradients of Temperature and Precipitation. J. Climate, 30, 5835–5849, https://doi.org/10.1175/JCLI-D-16-0829.1
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79842
Collection:CaltechAUTHORS
Deposited By: Iryna Chatila
Deposited On:07 Aug 2017 17:23
Last Modified:07 Aug 2017 17:23

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