GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2018.10.011
Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model
Yang, Dong1,2; Liu, Wen1,2; Tang, Lingying1; Chen, Le1; Li, Xuezhang3; Xu, Xianli3
2019-02-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2019
卷号182页码:133-143
文章类型Article
语种英语
国家Peoples R China
英文摘要

With recognizing the value of ecosystem services to society, the efforts to manage ecosystem services have increased. One such tool to help manage ecosystem services is the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, a new but powerful ecosystem service model. However, the InVEST model still requires testing in various geographic regions. This study assessed the performance of the InVEST water yield model in a typical East Asian monsoon catchment of South China. A sensitivity analysis shows that precipitation is the most sensitive factor affecting water yield compared with two other important variables: ET0 (reference evapotranspiration) and Z (climate seasonality factor). Especially for some southeast sub-watersheds, a 46% increase in precipitation from 2005 to 2015 resulted in an approximately 138% increase in water yield. The model performed well when the Z parameter was calibrated with available observed data (R-2 = 0.92) or inferred from the globally available to (R-2 = 0.92) which is a key parameter that characterizes the land surface properties of catchments. This study will be helpful to other users who employ InVEST model and ecosystem services management in East Asian monsoon catchments.


英文关键词InVEST model Water provision service East Asian monsoon catchment Sensitivity analysis
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000453643000013
WOS关键词SENSITIVITY-ANALYSIS ; ECOSYSTEM SERVICES ; CLIMATE-CHANGE ; RIVER ; IMPACT ; BASIN ; EVAPOTRANSPIRATION ; UNCERTAINTY ; DEMANDS ; HISTORY
WOS类目Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/25164
专题资源环境科学
作者单位1.Hunan Normal Univ, Coll Resources & Environm Sci, Changsha 410081, Hunan, Peoples R China;
2.Key Lab Geospatial Big Data Min & Applicat, Changsha 410081, Hunan, Peoples R China;
3.Chinese Acad Sci, Inst Subtrop Agr, Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Yang, Dong,Liu, Wen,Tang, Lingying,et al. Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model[J]. LANDSCAPE AND URBAN PLANNING,2019,182:133-143.
APA Yang, Dong,Liu, Wen,Tang, Lingying,Chen, Le,Li, Xuezhang,&Xu, Xianli.(2019).Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model.LANDSCAPE AND URBAN PLANNING,182,133-143.
MLA Yang, Dong,et al."Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model".LANDSCAPE AND URBAN PLANNING 182(2019):133-143.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yang, Dong]的文章
[Liu, Wen]的文章
[Tang, Lingying]的文章
百度学术
百度学术中相似的文章
[Yang, Dong]的文章
[Liu, Wen]的文章
[Tang, Lingying]的文章
必应学术
必应学术中相似的文章
[Yang, Dong]的文章
[Liu, Wen]的文章
[Tang, Lingying]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。