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Increased control of vegetation on global terrestrial energy fluxes

Cited 156 time in Web of Science Cited 169 time in Scopus
Authors

Forzieri, Giovanni; Miralles, Diego G.; Ciais, Philippe; Alkama, Ramdane; Ryu, Youngryel; Duveiller, Gregory; Zhang, Ke; Robertson, Eddy; Kautz, Markus; Martens, Brecht; Jiang, Chongya; Arneth, Almut; Georgievski, Goran; Li, Wei; Ceccherini, Guido; Anthoni, Peter; Lawrence, Peter; Wiltshire, Andy; Pongratz, Julia; Piao, Shilong; Sitch, Stephen; Goll, Daniel S.; Arora, Vivek K.; Lienert, Sebastian; Lombardozzi, Danica; Kato, Etsushi; Nabel, Julia E. M. S.; Tian, Hanqin; Friedlingstein, Pierre; Cescatti, Alessandro

Issue Date
2020-04
Publisher
Nature Publishing Group
Citation
Nature Climate Change, Vol.10 No.4, pp.356-362
Abstract
Changes in the leaf area index alter the distribution of heat and moisture. The change in energy partitioning related to leaf area, increasing latent and decreasing sensible fluxes over the observational period 1982-2016, is moderated by plant functional type and background climate. Changes in vegetation structure are expected to influence the redistribution of heat and moisture; however, how variations in the leaf area index (LAI) affect this global energy partitioning is not yet quantified. Here, we estimate that a unit change in LAI leads to 3.66 +/- 0.45 and -3.26 +/- 0.41 W m(-2) in latent (LE) and sensible (H) fluxes, respectively, over the 1982-2016 period. Analysis of an ensemble of data-driven products shows that these sensitivities increase by about 20% over the observational period, prominently in regions with a limited water supply, probably because of an increased transpiration/evaporation ratio. Global greening has caused a decrease in the Bowen ratio (B = H/LE) of -0.010 +/- 0.002 per decade, which is attributable to the increased evaporative surface. Such a direct LAI effect on energy fluxes is largely modulated by plant functional types (PFTs) and background climate conditions. Land surface models (LSMs) misrepresent this vegetation control, possibly due to underestimation of the biophysical responses to changes in the water availability and poor representation of LAI dynamics.
ISSN
1758-678X
URI
https://hdl.handle.net/10371/199168
DOI
https://doi.org/10.1038/s41558-020-0717-0
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  • College of Agriculture and Life Sciences
  • Department of Landscape Architecture and Rural System Engineering
Research Area Crop, Forest Carbon, Sensing Network, Water Cycles

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