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Spatial-temporal Patterns and Driving Forces of Water Retention Service in China.

Authors :
Xiao, Yang
Ouyang, Zhiyun
Source :
Chinese Geographical Science. Feb2019, Vol. 29 Issue 1, p100-111. 12p.
Publication Year :
2019

Abstract

Overwhelming water-deficiency conditions and an unbalanced water supply and demand have been major concerns of both the Chinese government and the general public during recent decades. Studying the spatial-temporal patterns and impact factors that influence water retention in China is important to enhance the management of water resources in China and other similar countries. We employed a revised Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and regression analyses to investigate the water retention service in China. The results showed that the southeastern China generally performed much better than Northwest China in terms of the spatial distribution of water retention. In general, the efficacy of the water retention service in China increased from 2000 to 2014; although some areas still had a downward trend. Water retention service increased significantly (P < 0.05) in aggregate in the Qinghai-Tibet Plateau, and the Da Hinggan Mountains and Xiao Hinggan Mountains. However, the service in southwestern China showed a decreasing trend (P < 0.05), which would have significant negative impact on the downstream population. This study also showed that in China the changes in water retention service were primarily due to climate change (which could explain 83.49% of the total variance), with anthropogenic impact as a secondary influence (likewise the ecological programs and socioeconomic development could explain 9.47% and 1.06%, respectively). Moreover, the identification of water retention importance indicated that important areas conservation and selection based on downstream beneficiaries is vital for optimization protection of ecosystem services, and has practical significance for natural resources and ecosystem management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10020063
Volume :
29
Issue :
1
Database :
Academic Search Index
Journal :
Chinese Geographical Science
Publication Type :
Academic Journal
Accession number :
134037265
Full Text :
https://doi.org/10.1007/s11769-018-0984-0