Change in terrestrial ecosystem water‐use efficiency over the last three decades
Abstract
Abstract 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 −1 under the single effect of rising CO 2 (‘ CO 2 ’), climate change (‘ CLIM ’) and nitrogen deposition (‘ NDEP ’), respectively. Global patterns of EWUE trends under different scenarios suggest that (i) EWUE ‐ CO 2 shows 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 gmore »
- Authors:
-
- Sino‐French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing 100871 China
- Sino‐French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing 100871 China, Key Laboratory of Alpine Ecology and Biodiversity Institute of Tibetan Plateau Research Center for Excellence in Tibetan Earth Science Chinese Academy of Sciences Beijing 100085 China
- LSCE UMR CEA‐CNRS Bat. 709, CE, L'Orme des Merisiers F‐91191 Gif‐sur‐Yvette France
- CSIRO Land and Water Flagship GPO Box 1666 Canberra ACT 2601 Australia
- Climate Change Science Institute and Environmental Sciences Division Oak Ridge National Laboratory 1 Bethel Valley Road Oak Ridge TN 37831‐6301 USA
- Institute on Ecosystems and the Department of Ecology Montana State University Bozeman MT 59717 USA
- CSIRO Ocean and Atmosphere Flagship PMB 1 Aspendale Vic. 3195 Australia
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1400687
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Global Change Biology
- Additional Journal Information:
- Journal Name: Global Change Biology Journal Volume: 21 Journal Issue: 6; Journal ID: ISSN 1354-1013
- Publisher:
- Wiley-Blackwell
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Huang, Mengtian, Piao, Shilong, Sun, Yan, Ciais, Philippe, Cheng, Lei, Mao, Jiafu, Poulter, Ben, Shi, Xiaoying, Zeng, Zhenzhong, and Wang, Yingping. Change in terrestrial ecosystem water‐use efficiency over the last three decades. United Kingdom: N. p., 2015.
Web. doi:10.1111/gcb.12873.
Huang, Mengtian, Piao, Shilong, Sun, Yan, Ciais, Philippe, Cheng, Lei, Mao, Jiafu, Poulter, Ben, Shi, Xiaoying, Zeng, Zhenzhong, & Wang, Yingping. Change in terrestrial ecosystem water‐use efficiency over the last three decades. United Kingdom. https://doi.org/10.1111/gcb.12873
Huang, Mengtian, Piao, Shilong, Sun, Yan, Ciais, Philippe, Cheng, Lei, Mao, Jiafu, Poulter, Ben, Shi, Xiaoying, Zeng, Zhenzhong, and Wang, Yingping. Fri .
"Change in terrestrial ecosystem water‐use efficiency over the last three decades". United Kingdom. https://doi.org/10.1111/gcb.12873.
@article{osti_1400687,
title = {Change in terrestrial ecosystem water‐use efficiency over the last three decades},
author = {Huang, Mengtian and Piao, Shilong and Sun, Yan and Ciais, Philippe and Cheng, Lei and Mao, Jiafu and Poulter, Ben and Shi, Xiaoying and Zeng, Zhenzhong and Wang, Yingping},
abstractNote = {Abstract 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 −1 under the single effect of rising CO 2 (‘ CO 2 ’), climate change (‘ CLIM ’) and nitrogen deposition (‘ NDEP ’), respectively. Global patterns of EWUE trends under different scenarios suggest that (i) EWUE ‐ CO 2 shows 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 CO 2 reducing 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 WUE t ( GPP / TR ) and inherent water‐use efficiency ( IWUE t , GPP × VPD / TR ) in response to rising CO 2 , 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.},
doi = {10.1111/gcb.12873},
journal = {Global Change Biology},
number = 6,
volume = 21,
place = {United Kingdom},
year = {Fri Mar 20 00:00:00 EDT 2015},
month = {Fri Mar 20 00:00:00 EDT 2015}
}
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