中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Environmental determinants impacting the spatial heterogeneity of karst ecosystem services in Southwest China

文献类型:期刊论文

作者Gao, Jiangbo1; Zuo, Liyuan1,2; Liu, Wanlu1,2
刊名LAND DEGRADATION & DEVELOPMENT
出版日期2020-12-18
页码14
关键词environmental determinants karst ecosystem services quantitative attribution regional differentiation spatial heterogeneity
ISSN号1085-3278
DOI10.1002/ldr.3815
通讯作者Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要Severe rocky desertification and considerable terrain relief in karst areas increase the difficulty of identifying determinants of ecosystem services (ESs), leading to relatively insufficient research on the quantitative attribution of karst ESs. This study investigates environmental determinants and their interactions affecting karst ESs in Southwest China and spatially variable correlations between environmental determinants and karst ESs in geomorphological regions using the geographical detector and geographical weighted regression methodologies. Results show that land use and vegetation coverage are the determinants of water yield and soil loss at the basin scale, with explanatory power of 67.2% and 32.3%, respectively; and the combination of elevation and vegetation coverage determines the spatial distribution of carbon sequestration. The determinants of ESs differed substantially among diverse geomorphological types due to differences in the inner characteristics of each. In addition to the dominant role of land use in each geomorphological type, the effects of vegetation coverage and precipitation on the water yield are significant in mountainous regions. The explanatory power of land use for soil loss decreases with increased terrain relief, while that of the vegetation coverage shows the opposite trend. For carbon sequestration, terrain factors play a more important role than land use at the basin scale, while land use is more influential in each geomorphological type. Furthermore, precipitation and vegetation coverage have the largest impact area on water yield and soil loss in each geomorphological type, respectively, and the impact area of each determinant of carbon sequestration shows obvious regional differences.
WOS关键词NET PRIMARY PRODUCTION ; SOIL-EROSION ; ROCKY DESERTIFICATION ; NORTHWEST GUANGXI ; RISK-ASSESSMENT ; RUSLE MODEL ; REGION ; GEOMORPHOLOGY ; PRODUCTIVITY ; EVOLUTION
资助项目National Natural Science Foundation of China[41671098] ; National Natural Science Foundation of China[42071288] ; Programme of Keizhen-Bingwei Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2020RC002] ; National Key Research and Development Program of China[2018YFC1508900] ; National Key Research and Development Program of China[2018YFC1508801]
WOS研究方向Environmental Sciences & Ecology ; Agriculture
语种英语
WOS记录号WOS:000599727700001
出版者WILEY
资助机构National Natural Science Foundation of China ; Programme of Keizhen-Bingwei Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/137304]  
专题中国科学院地理科学与资源研究所
通讯作者Gao, Jiangbo
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Gao, Jiangbo,Zuo, Liyuan,Liu, Wanlu. Environmental determinants impacting the spatial heterogeneity of karst ecosystem services in Southwest China[J]. LAND DEGRADATION & DEVELOPMENT,2020:14.
APA Gao, Jiangbo,Zuo, Liyuan,&Liu, Wanlu.(2020).Environmental determinants impacting the spatial heterogeneity of karst ecosystem services in Southwest China.LAND DEGRADATION & DEVELOPMENT,14.
MLA Gao, Jiangbo,et al."Environmental determinants impacting the spatial heterogeneity of karst ecosystem services in Southwest China".LAND DEGRADATION & DEVELOPMENT (2020):14.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

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。