The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Contrasting responses of water use efficiency to drought across global terrestrial ecosystems
Open accessAbstract
Drought is an intermittent disturbance of the water cycle that profoundly affects the terrestrial carbon cycle. However, the response of the coupled water and carbon cycles to drought and the underlying mechanisms remain unclear. Here we provide the first global synthesis of the drought effect on ecosystem water use efficiency (WUE = gross primary production (GPP)/evapotranspiration (ET)). Using two observational WUE datasets (i.e., eddy-covariance measurements at 95 sites (526 site-years) and global gridded diagnostic modelling based on existing observation and a data-adaptive machine learning approach), we find a contrasting response of WUE to drought between arid (WUE increases with drought) and semi-arid/sub-humid ecosystems (WUE decreases with drought), which is attributed to different sensitivities of ecosystem processes to changes in hydro-climatic conditions. WUE variability in arid ecosystems is primarily controlled by physical processes (i.e., evaporation), whereas WUE variability in semi-arid/sub-humid regions is mostly regulated by biological processes (i.e., assimilation). We also find that shifts in hydro-climatic conditions over years would intensify the drought effect on WUE. Our findings suggest that future drought events, when coupled with an increase in climate variability, will bring further threats to semi-arid/sub-humid ecosystems and potentially result in biome reorganization, starting with low-productivity and high water-sensitivity grassland.
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Cites
Understanding plant responses to drought—from genes to the whole plant.
Chaves, M. M., Maroco, J. P., & Pereira, J. S. (2003) · Functional Plant Biology · doi:10.1071/fp02076 · Cited by 3,845
Global warming and changes in drought
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich, J., Briffa, K. R., & Sheffield, J. (2014) · Nature Climate Change · doi:10.1038/nclimate2067 · Cited by 3,382
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West, H., Quinn, N., & Horswell, M. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111291 · Cited by 538
Machine learning and artificial intelligence to aid climate change research and preparedness
Huntingford, C., Jeffers, E. S., Bonsall, M. B., Christensen, H. M., Lees, T., & Yang, H. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4e55 · Cited by 469
Vicente‐Serrano, S. M., McVicar, T. R., Miralles, D. G., Yang, Y., & Tomas‐Burguera, M. (2020) · WIREs Climate Change · doi:10.1002/wcc.632 · Cited by 299
Self-citationLi, S., Liang, W., Fu, B., Lü, Y., Fu, S., Wang, S., & Su, H. (2016) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.06.141 · Cited by 293
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Metadata
- Authors
- Yang, Y., Guan, H., Batelaan, O., McVicar, T. R., Long, D., Piao, S., Liang, W., Liu, B., Jin, Z., & Simmons, C. T.
- Venue
- Scientific Reports
- Published
- 2016-03-17
- Volume
- 6
- Issue
- 1
- Pages
- 23284-23284
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2314278888
- Cited by
- 415
- References
- 2
- FWCI
- 19.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Yang, Y., Guan, H., Batelaan, O., McVicar, T. R., Long, D., Piao, S., Liang, W., Liu, B., Jin, Z., & Simmons, C. T. (2016). Contrasting responses of water use efficiency to drought across global terrestrial ecosystems. Scientific Reports. https://doi.org/10.1038/srep23284
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