Change in terrestrial ecosystem water‐use efficiency over the last three decades

Defined as the ratio between gross primary productivity (GPP) and evapotranspiration (ET), ecosystem‐scale water‐use efficiency (EWUE) is an indicator of the adjustment of vegetation photosynthesis to water loss. The processes controlling EWUE are complex and reflect both a slow evolution of plants...

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Published in:Global change biology Vol. 21; no. 6; pp. 2366 - 2378
Main Authors: Huang, Mengtian, Piao, Shilong, Sun, Yan, Ciais, Philippe, Cheng, Lei, Mao, Jiafu, Poulter, Ben, Shi, Xiaoying, Zeng, Zhenzhong, Wang, Yingping
Format: Journal Article
Language:English
Published: England Blackwell Science 01-06-2015
Blackwell Publishing Ltd
Wiley
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Summary:Defined as the ratio between gross primary productivity (GPP) and evapotranspiration (ET), ecosystem‐scale water‐use efficiency (EWUE) is an indicator of the adjustment of vegetation photosynthesis to water loss. The processes controlling EWUE are complex and reflect both a slow evolution of plants and plant communities as well as fast adjustments of ecosystem functioning to changes of limiting resources. In this study, we investigated EWUE trends from 1982 to 2008 using data‐driven models derived from satellite observations and process‐oriented carbon cycle models. Our findings suggest positive EWUE trends of 0.0056, 0.0007 and 0.0001 g C m⁻² mm⁻¹ yr⁻¹under the single effect of rising CO₂(‘CO₂’), climate change (‘CLIM’) and nitrogen deposition (‘NDEP’), respectively. Global patterns of EWUE trends under different scenarios suggest that (i) EWUE‐CO₂shows global increases, (ii) EWUE‐CLIM increases in mainly high latitudes and decreases at middle and low latitudes, (iii) EWUE‐NDEP displays slight increasing trends except in west Siberia, eastern Europe, parts of North America and central Amazonia. The data‐driven MTE model, however, shows a slight decline of EWUE during the same period (−0.0005 g C m⁻² mm⁻¹ yr⁻¹), which differs from process‐model (0.0064 g C m⁻² mm⁻¹ yr⁻¹) simulations with all drivers taken into account. We attribute this discrepancy to the fact that the nonmodeled physiological effects of elevated CO₂reducing stomatal conductance and transpiration (TR) in the MTE model. Partial correlation analysis between EWUE and climate drivers shows similar responses to climatic variables with the data‐driven model and the process‐oriented models across different ecosystems. Change in water‐use efficiency defined from transpiration‐based WUEₜ(GPP/TR) and inherent water‐use efficiency (IWUEₜ, GPP×VPD/TR) in response to rising CO₂, climate change, and nitrogen deposition are also discussed. Our analyses will facilitate mechanistic understanding of the carbon–water interactions over terrestrial ecosystems under global change.
Bibliography:http://dx.doi.org/10.1111/gcb.12873
ark:/67375/WNG-TGN1JX6D-T
National Youth Top-notch Talent Support Program in China
istex:AE58C1211D96DDF34BF37E9F70A428A1E839BA31
Office of Science
Biological
Oak Ridge National Laboratory - No. DE-AC05-00OR22725
Table S1. Details of process-oriented models used in this study. Figure S1. Spatial patterns of 'CO2'-only DGVM modeled trendof TR/LAI (the unit transpiration per unit LAI) from 1982 to 2008. Figure S2. Spatial patterns of (a) evapotranspiration trends from 1982 to 2008; (b) transpiration trends from 1982 to 2008; (c) evaporation trends from 1982 to 2008; (d) relative change of mean LAI of the last 5 years of study period compared with mean LAI of the first 5 years of study period under DGVMs simulation S1. Figure S3. Spatial patterns of (a) k, the ratio between the average EWUE from 1982 to 1986 and that from 2004 to 2008 estimated by MTE model, (b) k', the theoretical ratio between the average theoretical EWUE from 1982 to 1986 and that from 2004 to 2008 if the effects of elevated CO2 on stomatal conductance and LAI are both taken into consideration.
ArticleID:GCB12873
Environmental Research
US Department of Energy (DOE)
Chinese Ministry of Environmental Protection Grant - No. 201209031
National Natural Science Foundation of China - No. 41125004
111 Project - No. B14001
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
AC05-00OR22725; 201209031; 41125004
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
ISSN:1354-1013
1365-2486
DOI:10.1111/gcb.12873