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Large spatial variations in the distributions of and factors affecting forest water retention capacity in China
Wu, Xi1,2,3; Shi, Wenjiao1,4; Guo, Bin3; Tao, Fulu1,4
2020-06-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume113Pages:16
Corresponding AuthorShi, Wenjiao(shiwj@lreis.ac.cn) ; Tao, Fulu(taofl@igsnrr.ac.cn)
AbstractThe estimation of forest water retention based on observation and experimental data can be used to accurately analyze large variations in the spatial distributions of the water retention capacity across China and explore factors affecting these large spatial variations at different scales. Therefore, we reviewed the relevant peer-reviewed literature to extract water retention parameters and their influencing factors throughout China via a meta-analysis approach. Furthermore, an empirical model and path analysis were used to explore the spatial distributions of and significant factors affecting the canopy interception capacity (CIC), litter maximum water-holding capacity (LWHC), soil water storage capacity (SSC) and forest water retention capacity (WRC) at the national and basin scales. The results showed that the spatial distributions of the CIC and LWHC exhibited opposite trends in China. The average CIC values in the Pearl River Basin (PRB), Southeast Rivers Basin (SERB), Southwest Rivers Basin (SWRB) and Yangtze River Basin (YTRB) were two times higher than those in the Songhua River Basin (SHRB), Liao River Basin (LRB) and Northwest Rivers Basin (NWRB). In addition, the SSC values accounted for approximately 60-85% of the WRC values in the different basins, soil types and forest types. The average SSC values in semi-alfisol and ferralsol were 2.5 times higher than those in semi-hydromorphic soil and pedocal. Moreover, the effects of some factors such as location, terrain and canopy structure on the CIC, LWHC, SSC and WRC values were significant in only certain basins, but these effects were not significant throughout China. The indirect effects of some climatic, location and terrain factors on the CIC, LWHC, SSC and WRC values determined the total effects. These results can contribute to a better understanding of the large spatial variations in WRC and provide a scientific basis for the improvement of the forest water retention function across China.
KeywordChina Forest water retention Meta-analysis Path analysis Spatial distribution Factor
DOI10.1016/j.ecolind.2020.106152
WOS KeywordCANOPY STORAGE CAPACITY ; LEAF-AREA INDEX ; ECOSYSTEM SERVICES ; RAINFALL INTERCEPTION ; HOLDING CAPACITY ; CLIMATE-CHANGE ; TOPKAPI MODEL ; SOIL ; CONSERVATION ; VARIABILITY
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFA0604703] ; Fund for National Natural Science Foundation of China[41771111] ; Excellent Young Talents in Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2016RC201] ; Youth Innovation Promotion Association[2018071] ; Natural Science Foundation of Hebei Province[D2019205123] ; Chinese land surveying and Planning Institute Outsourcing Project[2018121101356]
Funding OrganizationNational Key Research and Development Program of China ; Fund for National Natural Science Foundation of China ; Excellent Young Talents in Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; Youth Innovation Promotion Association ; Natural Science Foundation of Hebei Province ; Chinese land surveying and Planning Institute Outsourcing Project
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000523335900060
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/133541
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShi, Wenjiao; Tao, Fulu
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Jiangsu Prov Surveying & Mapping Engn Inst, Nanjing 210013, Peoples R China
3.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Wu, Xi,Shi, Wenjiao,Guo, Bin,et al. Large spatial variations in the distributions of and factors affecting forest water retention capacity in China[J]. ECOLOGICAL INDICATORS,2020,113:16.
APA Wu, Xi,Shi, Wenjiao,Guo, Bin,&Tao, Fulu.(2020).Large spatial variations in the distributions of and factors affecting forest water retention capacity in China.ECOLOGICAL INDICATORS,113,16.
MLA Wu, Xi,et al."Large spatial variations in the distributions of and factors affecting forest water retention capacity in China".ECOLOGICAL INDICATORS 113(2020):16.
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