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Integrating the InVEST and SDSM Model for Estimating Water Provision Services in Response to Future Climate Change in Monsoon Basins of South China

by 1,2,3, 1,4,*, 2,3, 1 and 2
1
College of Resources and Environment Science, Hunan Normal University, Changsha 410081, China
2
Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
3
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
4
Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(11), 3199; https://doi.org/10.3390/w12113199
Received: 13 September 2020 / Revised: 6 November 2020 / Accepted: 10 November 2020 / Published: 16 November 2020
(This article belongs to the Section Hydrology and Hydrogeology)
An assessment of how future climate change will impact water provision services is important for formulating rational water resources management and development strategies as well as for ecosystem protection. The East Asian monsoon is an important component of the Asian climate and its changes affect the climate in East Asia and seriously affect the provision of water services. In this study, through the coupling of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and Statistical Downscaling Technique Model (SDSM), we evaluated the impact of future climate change on water provisions in a typical East Asian monsoon basin of South China. The results demonstrate the applicability of the InVEST model combined with the SDSM model over the East Asian monsoon river basins. Under representative concentration pathway 4.5 scenario (RCP4.5), the annual average maximum and minimum temperatures would continually increase far into the future (2080–2095). However, the maximum and minimum temperatures slightly decreased under representative concentration pathway 2.6 scenario (RCP2.6) in the far future (2080–2095). The annual average precipitation and reference evapotranspiration experienced slight but steady increasing trends under the RCP2.6 and RCP4.5 scenarios. Based on the InVEST model simulation, annual average water yield would increase by 19.3% (33.5%) far in the future (2080–2095) under RCP2.6 (4.5) scenario. This study provides a valuable reference for studying future climate change impacts on water provisions in East Asian monsoon basins. View Full-Text
Keywords: statistical downscaling model; ecosystem service model; East Asian monsoon basins; RCP scenarios; ecohydrology statistical downscaling model; ecosystem service model; East Asian monsoon basins; RCP scenarios; ecohydrology
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MDPI and ACS Style

Yang, D.; Liu, W.; Xu, C.; Tao, L.; Xu, X. Integrating the InVEST and SDSM Model for Estimating Water Provision Services in Response to Future Climate Change in Monsoon Basins of South China. Water 2020, 12, 3199. https://doi.org/10.3390/w12113199

AMA Style

Yang D, Liu W, Xu C, Tao L, Xu X. Integrating the InVEST and SDSM Model for Estimating Water Provision Services in Response to Future Climate Change in Monsoon Basins of South China. Water. 2020; 12(11):3199. https://doi.org/10.3390/w12113199

Chicago/Turabian Style

Yang, Dong; Liu, Wen; Xu, Chaohao; Tao, Lizhi; Xu, Xianli. 2020. "Integrating the InVEST and SDSM Model for Estimating Water Provision Services in Response to Future Climate Change in Monsoon Basins of South China" Water 12, no. 11: 3199. https://doi.org/10.3390/w12113199

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