Interannual variation in riparian vegetation cover and its relationship with river flow under a high level of human intervention: an example from the Yongding River Basin
Riparian vegetation cover is significantly affected by a river’s hydrological conditions. Especially in arid and semiarid areas, low flow will degrade riparian vegetation, and recent, intensive human activities in the Yongding River Basin have caused a sharp decrease in river flow. We analyzed inter...
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| Veröffentlicht in: | Environmental monitoring and assessment 2021-07, Vol.193 (7), p.406-406, Article 406 |
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| creator | Ren, Liangsuo Zhang, Shurong Guo, Xulin Cheng, Lirong Guo, Yujing Ding, Aizhong |
| description | Riparian vegetation cover is significantly affected by a river’s hydrological conditions. Especially in arid and semiarid areas, low flow will degrade riparian vegetation, and recent, intensive human activities in the Yongding River Basin have caused a sharp decrease in river flow. We analyzed interannual change in riparian vegetation, river flow effects, and land use on vegetation coverage using the 40 years (1977–2016) of remote sensing images and river flow, combined with 38 years (1980–2018) of land use data. The normalized difference vegetation index (NDVI) was used to determine vegetation cover in five different categories: extremely low, low, medium, high, and extremely high based on the pixel dichotomy model. The weighted average was calculated to obtain vegetation cover trends. We show that riparian vegetation cover from four rivers increased. Compared with 1977, in 2016, combined high and extremely high vegetation covers at the Dongyang, Yang, Sanggan, and Yongding Rivers increased by 20.3%, 26.7%, 50.0%, and 39.2%, respectively. High (R = −0.976, P |
| doi_str_mv | 10.1007/s10661-021-09187-8 |
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Especially in arid and semiarid areas, low flow will degrade riparian vegetation, and recent, intensive human activities in the Yongding River Basin have caused a sharp decrease in river flow. We analyzed interannual change in riparian vegetation, river flow effects, and land use on vegetation coverage using the 40 years (1977–2016) of remote sensing images and river flow, combined with 38 years (1980–2018) of land use data. The normalized difference vegetation index (NDVI) was used to determine vegetation cover in five different categories: extremely low, low, medium, high, and extremely high based on the pixel dichotomy model. The weighted average was calculated to obtain vegetation cover trends. We show that riparian vegetation cover from four rivers increased. Compared with 1977, in 2016, combined high and extremely high vegetation covers at the Dongyang, Yang, Sanggan, and Yongding Rivers increased by 20.3%, 26.7%, 50.0%, and 39.2%, respectively. High (R = −0.976, P < 0.01) and extremely high (R = −0.762, P < 0.05) vegetation covers are negatively correlated with flow in the Yongding River. The high vegetation cover of the Sanggan River riparian zone is negatively correlated with river flow (R = −0.683, P < 0.05). In the Dongyang and Sanggan Rivers, land use analysis in the riparian zone showed that change in cultivated land, grassland, and forest were significantly correlated with high and extremely high vegetation cover. The abundant cultivated land and restoration activities are likely responsible for the increase of riparian vegetation cover as river flows decline.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-021-09187-8</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Annual variations ; Arid regions ; Atmospheric Protection/Air Quality Control/Air Pollution ; Correlation ; Cultivated lands ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental monitoring ; Environmental science ; Grasslands ; Hydrology ; Interannual variability ; Land use ; Low flow ; Monitoring/Environmental Analysis ; Normalized difference vegetative index ; Plant cover ; Remote sensing ; Restoration ; Riparian land ; Riparian vegetation ; Riparian zone ; River basins ; River flow ; Rivers ; Semi arid areas ; Stream flow ; Vegetation ; Vegetation cover ; Vegetation index</subject><ispartof>Environmental monitoring and assessment, 2021-07, Vol.193 (7), p.406-406, Article 406</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-905fd39da80a0632e52c265d3b8d5d4eb9fcfb2fa6836ab5034bffddc667560d3</citedby><cites>FETCH-LOGICAL-c352t-905fd39da80a0632e52c265d3b8d5d4eb9fcfb2fa6836ab5034bffddc667560d3</cites><orcidid>0000-0003-1133-1238</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-021-09187-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-021-09187-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Ren, Liangsuo</creatorcontrib><creatorcontrib>Zhang, Shurong</creatorcontrib><creatorcontrib>Guo, Xulin</creatorcontrib><creatorcontrib>Cheng, Lirong</creatorcontrib><creatorcontrib>Guo, Yujing</creatorcontrib><creatorcontrib>Ding, Aizhong</creatorcontrib><title>Interannual variation in riparian vegetation cover and its relationship with river flow under a high level of human intervention: an example from the Yongding River Basin</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><description>Riparian vegetation cover is significantly affected by a river’s hydrological conditions. Especially in arid and semiarid areas, low flow will degrade riparian vegetation, and recent, intensive human activities in the Yongding River Basin have caused a sharp decrease in river flow. We analyzed interannual change in riparian vegetation, river flow effects, and land use on vegetation coverage using the 40 years (1977–2016) of remote sensing images and river flow, combined with 38 years (1980–2018) of land use data. The normalized difference vegetation index (NDVI) was used to determine vegetation cover in five different categories: extremely low, low, medium, high, and extremely high based on the pixel dichotomy model. The weighted average was calculated to obtain vegetation cover trends. We show that riparian vegetation cover from four rivers increased. Compared with 1977, in 2016, combined high and extremely high vegetation covers at the Dongyang, Yang, Sanggan, and Yongding Rivers increased by 20.3%, 26.7%, 50.0%, and 39.2%, respectively. High (R = −0.976, P < 0.01) and extremely high (R = −0.762, P < 0.05) vegetation covers are negatively correlated with flow in the Yongding River. The high vegetation cover of the Sanggan River riparian zone is negatively correlated with river flow (R = −0.683, P < 0.05). In the Dongyang and Sanggan Rivers, land use analysis in the riparian zone showed that change in cultivated land, grassland, and forest were significantly correlated with high and extremely high vegetation cover. The abundant cultivated land and restoration activities are likely responsible for the increase of riparian vegetation cover as river flows decline.</description><subject>Annual variations</subject><subject>Arid regions</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Correlation</subject><subject>Cultivated lands</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental monitoring</subject><subject>Environmental science</subject><subject>Grasslands</subject><subject>Hydrology</subject><subject>Interannual variability</subject><subject>Land use</subject><subject>Low flow</subject><subject>Monitoring/Environmental Analysis</subject><subject>Normalized difference vegetative index</subject><subject>Plant cover</subject><subject>Remote sensing</subject><subject>Restoration</subject><subject>Riparian land</subject><subject>Riparian vegetation</subject><subject>Riparian zone</subject><subject>River basins</subject><subject>River flow</subject><subject>Rivers</subject><subject>Semi arid areas</subject><subject>Stream flow</subject><subject>Vegetation</subject><subject>Vegetation cover</subject><subject>Vegetation 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ren, Liangsuo</au><au>Zhang, Shurong</au><au>Guo, Xulin</au><au>Cheng, Lirong</au><au>Guo, Yujing</au><au>Ding, Aizhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interannual variation in riparian vegetation cover and its relationship with river flow under a high level of human intervention: an example from the Yongding River Basin</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><date>2021-07-01</date><risdate>2021</risdate><volume>193</volume><issue>7</issue><spage>406</spage><epage>406</epage><pages>406-406</pages><artnum>406</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Riparian vegetation cover is significantly affected by a river’s hydrological conditions. Especially in arid and semiarid areas, low flow will degrade riparian vegetation, and recent, intensive human activities in the Yongding River Basin have caused a sharp decrease in river flow. We analyzed interannual change in riparian vegetation, river flow effects, and land use on vegetation coverage using the 40 years (1977–2016) of remote sensing images and river flow, combined with 38 years (1980–2018) of land use data. The normalized difference vegetation index (NDVI) was used to determine vegetation cover in five different categories: extremely low, low, medium, high, and extremely high based on the pixel dichotomy model. The weighted average was calculated to obtain vegetation cover trends. We show that riparian vegetation cover from four rivers increased. Compared with 1977, in 2016, combined high and extremely high vegetation covers at the Dongyang, Yang, Sanggan, and Yongding Rivers increased by 20.3%, 26.7%, 50.0%, and 39.2%, respectively. High (R = −0.976, P < 0.01) and extremely high (R = −0.762, P < 0.05) vegetation covers are negatively correlated with flow in the Yongding River. The high vegetation cover of the Sanggan River riparian zone is negatively correlated with river flow (R = −0.683, P < 0.05). In the Dongyang and Sanggan Rivers, land use analysis in the riparian zone showed that change in cultivated land, grassland, and forest were significantly correlated with high and extremely high vegetation cover. The abundant cultivated land and restoration activities are likely responsible for the increase of riparian vegetation cover as river flows decline.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10661-021-09187-8</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-1133-1238</orcidid></addata></record> |
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| subjects | Annual variations Arid regions Atmospheric Protection/Air Quality Control/Air Pollution Correlation Cultivated lands Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental monitoring Environmental science Grasslands Hydrology Interannual variability Land use Low flow Monitoring/Environmental Analysis Normalized difference vegetative index Plant cover Remote sensing Restoration Riparian land Riparian vegetation Riparian zone River basins River flow Rivers Semi arid areas Stream flow Vegetation Vegetation cover Vegetation index |
| title | Interannual variation in riparian vegetation cover and its relationship with river flow under a high level of human intervention: an example from the Yongding River Basin |
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