2020
DOI: 10.1038/s41467-020-18992-7
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Vegetation forcing modulates global land monsoon and water resources in a CO2-enriched climate

Abstract: The global monsoon is characterised by transitions between pronounced dry and wet seasons, affecting food security for two-thirds of the world’s population. Rising atmospheric CO2 influences the terrestrial hydrological cycle through climate-radiative and vegetation-physiological forcings. How these two forcings affect the seasonal intensity and characteristics of monsoonal precipitation and runoff is poorly understood. Here we use four Earth System Models to show that in a CO2-enriched climate, radiative forc… Show more

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Cited by 53 publications
(29 citation statements)
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“…Furthermore, Cui et al. (2020) reported physiological effects of vegetation, like stomatal closure, may reduce E and raise flood risks in wet seasons. Therefore, under a changing climatic environment, the ways or areas of implementing ecological measures will greatly change the spatial distributions of Ea and Et and the runoff generation process.…”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, Cui et al. (2020) reported physiological effects of vegetation, like stomatal closure, may reduce E and raise flood risks in wet seasons. Therefore, under a changing climatic environment, the ways or areas of implementing ecological measures will greatly change the spatial distributions of Ea and Et and the runoff generation process.…”
Section: Discussionmentioning
confidence: 99%
“…Cui et al. (2020) claimed that stomata variation dominates the change in Et , not the effects of LAI . Ueyama et al.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…A limited number of models contributed all of these three simulations to CMIP5 and we use four (CESM1‐BGC, IPSL‐CM5A‐LR, MPI‐ESM‐LR, and NorESM1‐ME; Table in the supporting information) in our analysis, which were selected as they are within ±1 standard deviation of estimated land transpiration to evapotranspiration (T/ET) ratios from isotope observations (Good et al., 2015). The ESMs with realistic values of T/ET may be expected to perform better at simulating future runoff changes (Lian et al., 2018) and biophysical feedbacks (Cui et al., 2020; Zeng et al., 2017). We use ESM diagnostics of monthly CMIP5 output.…”
Section: Methodsmentioning
confidence: 99%