Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds
The intra-annual variability in sediment discharge was considerably influenced by the climate variability and vegetation dynamics. Because of the coupled or relationships between climatic and vegetation variables, it is still challenging to decouple the direct and indirect effects of climate variabi...
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| Veröffentlicht in: | The Science of the total environment 2024-05, Vol.923, p.171486-171486, Article 171486 |
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| creator | Pan, Fengjiao Li, Zhenwei Xie, Hongxia Xu, Xianli Duan, Liangxia |
| description | The intra-annual variability in sediment discharge was considerably influenced by the climate variability and vegetation dynamics. Because of the coupled or relationships between climatic and vegetation variables, it is still challenging to decouple the direct and indirect effects of climate variability and vegetation dynamics on hydrological and sediment transport processes. The purpose of this study is to decouple influences of individual driving force on intra-annual distribution of sediment discharge during 2003–2017 using the partial least squares structural equation model (PLS-SEM) method in four typical karst watersheds of Southwest China. The coefficient of variation (Cv), Completely regulation coefficient (Cr), Lorenz asymmetry coefficient and Gini coefficient were used to represent the intra-annual sediment discharge variability. Results showed that the monthly sediment discharge (190 % |
| doi_str_mv | 10.1016/j.scitotenv.2024.171486 |
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| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2942188528</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0048969724016279</els_id><sourcerecordid>2942188528</sourcerecordid><originalsourceid>FETCH-LOGICAL-c350t-7f2b40ec509bc474dd84624d82c523d533dbeede610aec448f0b63ff242fce083</originalsourceid><addsrcrecordid>eNqFkctOwzAQRS0EgvL4BciSTYpfiZ0l4i0hsYG15djj4pI6xXaK-HsSCmyZzUh37tyxfBA6I3hOMKkvlvNkfO4zhM2cYsrnRBAu6x00I1I0JcG03kUzjLksm7oRB-gwpSUeS0iyjw6Y5FwIymZofe0ThKzDovNhUfjgugGCgVT0rrDRbybV9fFbCeM8R13qEAbdFRsdvW595_PnOCgSWL8aswrrk3nVcQGT-qZjysWHzhDTK9h0jPac7hKc_PQj9HJ783x1Xz4-3T1cXT6WhlU4l8LRlmMwFW5awwW3VvKaciupqSizFWO2BbBQE6zBcC4dbmvmHOXUGcCSHaHzbe469u8DpKxW47Og63SAfkiKkYpVvKkw_tdKG06JlBWdUsXWamKfUgSn1tGvdPxUBKuJjFqqPzJqIqO2ZMbN058jQ7sC-7f3i2I0XG4NMP7KxkOcgiYU1kcwWdne_3vkC9iPpls</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2942188528</pqid></control><display><type>article</type><title>Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds</title><source>Elsevier ScienceDirect Journals</source><creator>Pan, Fengjiao ; Li, Zhenwei ; Xie, Hongxia ; Xu, Xianli ; Duan, Liangxia</creator><creatorcontrib>Pan, Fengjiao ; Li, Zhenwei ; Xie, Hongxia ; Xu, Xianli ; Duan, Liangxia</creatorcontrib><description>The intra-annual variability in sediment discharge was considerably influenced by the climate variability and vegetation dynamics. Because of the coupled or relationships between climatic and vegetation variables, it is still challenging to decouple the direct and indirect effects of climate variability and vegetation dynamics on hydrological and sediment transport processes. The purpose of this study is to decouple influences of individual driving force on intra-annual distribution of sediment discharge during 2003–2017 using the partial least squares structural equation model (PLS-SEM) method in four typical karst watersheds of Southwest China. The coefficient of variation (Cv), Completely regulation coefficient (Cr), Lorenz asymmetry coefficient and Gini coefficient were used to represent the intra-annual sediment discharge variability. Results showed that the monthly sediment discharge (190 % < Cv < 353 %) exhibited greater variability than its potential affecting factors (18 % < Cv < 101 %). From the PLS-SEM analysis, the water discharge, climate, and vegetation together explain 57 %–75 %, 64 %–79 %, and 53 %–80 % of the total variance in Cv, Cr, and Gini coefficient, respectively. Specifically, water discharge exerts the largest influence on sediment discharge variability (0.65 ≤ direct effect ≤0.97, P < 0.05), while vegetation dynamic mainly indirectly affects sediment discharge variability (−0.88 ≤ indirect effect ≤ −0.01) through influencing water discharge. The climate factors also principally indirectly affect the sediment discharge variability (−0.47 ≤ indirect effect ≤0.19) by affecting water discharge and vegetation. The PLS-SEM can effectively reveal the driving force and influencing mechanism of intra-annual sediment discharge changes, and provide an important reference for regional soil and water resources management in karst watersheds. Future studies can decouple the influences of the extreme climate, unique lithology, discontinuous soil, heterogeneous landscape, and special geomorphology on spatial variability in sediment discharge across different karst watersheds.
[Display omitted]
•PLS-SEM decoupled effects of driving factors on intra-annual variability in SD.•Water discharge, vegetation and climate explain 53 %–80 % of the variation in SD.•Water discharge has the greatest influence on SD variability.•Vegetation dynamics affect SD variability mainly via changing water discharge.</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2024.171486</identifier><identifier>PMID: 38447723</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>asymmetry ; China ; climate ; Completely regulation coefficient ; environment ; Gini coefficient ; Karst ecosystems ; karsts ; landscapes ; lithology ; Lorenz asymmetry coefficient ; sediment transport ; sediment yield ; soil ; Soil erosion ; structural equation modeling ; variance ; vegetation</subject><ispartof>The Science of the total environment, 2024-05, Vol.923, p.171486-171486, Article 171486</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c350t-7f2b40ec509bc474dd84624d82c523d533dbeede610aec448f0b63ff242fce083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0048969724016279$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38447723$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pan, Fengjiao</creatorcontrib><creatorcontrib>Li, Zhenwei</creatorcontrib><creatorcontrib>Xie, Hongxia</creatorcontrib><creatorcontrib>Xu, Xianli</creatorcontrib><creatorcontrib>Duan, Liangxia</creatorcontrib><title>Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds</title><title>The Science of the total environment</title><addtitle>Sci Total Environ</addtitle><description>The intra-annual variability in sediment discharge was considerably influenced by the climate variability and vegetation dynamics. Because of the coupled or relationships between climatic and vegetation variables, it is still challenging to decouple the direct and indirect effects of climate variability and vegetation dynamics on hydrological and sediment transport processes. The purpose of this study is to decouple influences of individual driving force on intra-annual distribution of sediment discharge during 2003–2017 using the partial least squares structural equation model (PLS-SEM) method in four typical karst watersheds of Southwest China. The coefficient of variation (Cv), Completely regulation coefficient (Cr), Lorenz asymmetry coefficient and Gini coefficient were used to represent the intra-annual sediment discharge variability. Results showed that the monthly sediment discharge (190 % < Cv < 353 %) exhibited greater variability than its potential affecting factors (18 % < Cv < 101 %). From the PLS-SEM analysis, the water discharge, climate, and vegetation together explain 57 %–75 %, 64 %–79 %, and 53 %–80 % of the total variance in Cv, Cr, and Gini coefficient, respectively. Specifically, water discharge exerts the largest influence on sediment discharge variability (0.65 ≤ direct effect ≤0.97, P < 0.05), while vegetation dynamic mainly indirectly affects sediment discharge variability (−0.88 ≤ indirect effect ≤ −0.01) through influencing water discharge. The climate factors also principally indirectly affect the sediment discharge variability (−0.47 ≤ indirect effect ≤0.19) by affecting water discharge and vegetation. The PLS-SEM can effectively reveal the driving force and influencing mechanism of intra-annual sediment discharge changes, and provide an important reference for regional soil and water resources management in karst watersheds. Future studies can decouple the influences of the extreme climate, unique lithology, discontinuous soil, heterogeneous landscape, and special geomorphology on spatial variability in sediment discharge across different karst watersheds.
[Display omitted]
•PLS-SEM decoupled effects of driving factors on intra-annual variability in SD.•Water discharge, vegetation and climate explain 53 %–80 % of the variation in SD.•Water discharge has the greatest influence on SD variability.•Vegetation dynamics affect SD variability mainly via changing water discharge.</description><subject>asymmetry</subject><subject>China</subject><subject>climate</subject><subject>Completely regulation coefficient</subject><subject>environment</subject><subject>Gini coefficient</subject><subject>Karst ecosystems</subject><subject>karsts</subject><subject>landscapes</subject><subject>lithology</subject><subject>Lorenz asymmetry coefficient</subject><subject>sediment transport</subject><subject>sediment yield</subject><subject>soil</subject><subject>Soil erosion</subject><subject>structural equation modeling</subject><subject>variance</subject><subject>vegetation</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkctOwzAQRS0EgvL4BciSTYpfiZ0l4i0hsYG15djj4pI6xXaK-HsSCmyZzUh37tyxfBA6I3hOMKkvlvNkfO4zhM2cYsrnRBAu6x00I1I0JcG03kUzjLksm7oRB-gwpSUeS0iyjw6Y5FwIymZofe0ThKzDovNhUfjgugGCgVT0rrDRbybV9fFbCeM8R13qEAbdFRsdvW595_PnOCgSWL8aswrrk3nVcQGT-qZjysWHzhDTK9h0jPac7hKc_PQj9HJ783x1Xz4-3T1cXT6WhlU4l8LRlmMwFW5awwW3VvKaciupqSizFWO2BbBQE6zBcC4dbmvmHOXUGcCSHaHzbe469u8DpKxW47Og63SAfkiKkYpVvKkw_tdKG06JlBWdUsXWamKfUgSn1tGvdPxUBKuJjFqqPzJqIqO2ZMbN058jQ7sC-7f3i2I0XG4NMP7KxkOcgiYU1kcwWdne_3vkC9iPpls</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Pan, Fengjiao</creator><creator>Li, Zhenwei</creator><creator>Xie, Hongxia</creator><creator>Xu, Xianli</creator><creator>Duan, Liangxia</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240501</creationdate><title>Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds</title><author>Pan, Fengjiao ; Li, Zhenwei ; Xie, Hongxia ; Xu, Xianli ; Duan, Liangxia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-7f2b40ec509bc474dd84624d82c523d533dbeede610aec448f0b63ff242fce083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>asymmetry</topic><topic>China</topic><topic>climate</topic><topic>Completely regulation coefficient</topic><topic>environment</topic><topic>Gini coefficient</topic><topic>Karst ecosystems</topic><topic>karsts</topic><topic>landscapes</topic><topic>lithology</topic><topic>Lorenz asymmetry coefficient</topic><topic>sediment transport</topic><topic>sediment yield</topic><topic>soil</topic><topic>Soil erosion</topic><topic>structural equation modeling</topic><topic>variance</topic><topic>vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pan, Fengjiao</creatorcontrib><creatorcontrib>Li, Zhenwei</creatorcontrib><creatorcontrib>Xie, Hongxia</creatorcontrib><creatorcontrib>Xu, Xianli</creatorcontrib><creatorcontrib>Duan, Liangxia</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pan, Fengjiao</au><au>Li, Zhenwei</au><au>Xie, Hongxia</au><au>Xu, Xianli</au><au>Duan, Liangxia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>923</volume><spage>171486</spage><epage>171486</epage><pages>171486-171486</pages><artnum>171486</artnum><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>The intra-annual variability in sediment discharge was considerably influenced by the climate variability and vegetation dynamics. Because of the coupled or relationships between climatic and vegetation variables, it is still challenging to decouple the direct and indirect effects of climate variability and vegetation dynamics on hydrological and sediment transport processes. The purpose of this study is to decouple influences of individual driving force on intra-annual distribution of sediment discharge during 2003–2017 using the partial least squares structural equation model (PLS-SEM) method in four typical karst watersheds of Southwest China. The coefficient of variation (Cv), Completely regulation coefficient (Cr), Lorenz asymmetry coefficient and Gini coefficient were used to represent the intra-annual sediment discharge variability. Results showed that the monthly sediment discharge (190 % < Cv < 353 %) exhibited greater variability than its potential affecting factors (18 % < Cv < 101 %). From the PLS-SEM analysis, the water discharge, climate, and vegetation together explain 57 %–75 %, 64 %–79 %, and 53 %–80 % of the total variance in Cv, Cr, and Gini coefficient, respectively. Specifically, water discharge exerts the largest influence on sediment discharge variability (0.65 ≤ direct effect ≤0.97, P < 0.05), while vegetation dynamic mainly indirectly affects sediment discharge variability (−0.88 ≤ indirect effect ≤ −0.01) through influencing water discharge. The climate factors also principally indirectly affect the sediment discharge variability (−0.47 ≤ indirect effect ≤0.19) by affecting water discharge and vegetation. The PLS-SEM can effectively reveal the driving force and influencing mechanism of intra-annual sediment discharge changes, and provide an important reference for regional soil and water resources management in karst watersheds. Future studies can decouple the influences of the extreme climate, unique lithology, discontinuous soil, heterogeneous landscape, and special geomorphology on spatial variability in sediment discharge across different karst watersheds.
[Display omitted]
•PLS-SEM decoupled effects of driving factors on intra-annual variability in SD.•Water discharge, vegetation and climate explain 53 %–80 % of the variation in SD.•Water discharge has the greatest influence on SD variability.•Vegetation dynamics affect SD variability mainly via changing water discharge.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>38447723</pmid><doi>10.1016/j.scitotenv.2024.171486</doi><tpages>1</tpages></addata></record> |
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| subjects | asymmetry China climate Completely regulation coefficient environment Gini coefficient Karst ecosystems karsts landscapes lithology Lorenz asymmetry coefficient sediment transport sediment yield soil Soil erosion structural equation modeling variance vegetation |
| title | Disentangling influences of driving forces on intra-annual variability in sediment discharge in karst watersheds |
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