Examining the efficacy of revegetation practices in ecosystem restoration programs: insights from a hotspot of sandstorm in northern China
Retrospectively evaluating the efficacy of revegetation practices is helpful in planning and implementing future ecosystem restoration programs (ERP). Having a good understanding of how human activities can affect vegetation cover, both before and after ERP, is particularly important in sandstorm ho...
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| Veröffentlicht in: | Frontiers of earth science 2021-12, Vol.15 (4), p.922-935 |
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| creator | DU, Ziqiang RONG, Rong WU, Zhitao ZHANG, Hong |
| description | Retrospectively evaluating the efficacy of revegetation practices is helpful in planning and implementing future ecosystem restoration programs (ERP). Having a good understanding of how human activities can affect vegetation cover, both before and after ERP, is particularly important in sandstorm hotspot areas. The Beijing-Tianjin Sandstorm Source Region (BTSSR) is one such area. We conducted an investigation into vegetation dynamics within the BTSSR. This was done using remote sensing data in conjunction with climate data sets and land use data spanning the 1982-2014 period. The relationships between climatic factors (such as precipitation and temperature), and vegetative change were modeled using a neural network method. By a process of residual analysis, the proportions of human-induced vegetative change both before and after the ERP were established. Our results show that: 1) before the ERP (1982-2000), 40.96% of the study area exhibited significantly progressive vegetation changes ( p |
| doi_str_mv | 10.1007/s11707-021-0936-3 |
| format | Article |
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Having a good understanding of how human activities can affect vegetation cover, both before and after ERP, is particularly important in sandstorm hotspot areas. The Beijing-Tianjin Sandstorm Source Region (BTSSR) is one such area. We conducted an investigation into vegetation dynamics within the BTSSR. This was done using remote sensing data in conjunction with climate data sets and land use data spanning the 1982-2014 period. The relationships between climatic factors (such as precipitation and temperature), and vegetative change were modeled using a neural network method. By a process of residual analysis, the proportions of human-induced vegetative change both before and after the ERP were established. Our results show that: 1) before the ERP (1982-2000), 40.96% of the study area exhibited significantly progressive vegetation changes ( p<0.05). This proportion decreased to encompass only 20.23% of the study area in the period following the ERP (2001-2014). 2) 89.55% of the study area showed signs of human-induced vegetation degradation before the ERP. Between 2001 and 2014 however, following ERP, this figure fell to only 27.78%. 3) ERP implementation led to visible improvements in vegetative conditions within the BTSSR, especially in areas where ecological restoration measures were directly and anthropogenically applie d. These results highlight the benefits that positive human action (i.e., revegetation initiatives implemented under the framework of an ERP) have brought to the BTSSR.</description><identifier>ISSN: 2095-0195</identifier><identifier>EISSN: 2095-0209</identifier><identifier>DOI: 10.1007/s11707-021-0936-3</identifier><language>eng</language><publisher>Beijing: Higher Education Press</publisher><subject>Anthropogenic factors ; Beijing-Tianjin sandstorm source region ; Climate and land use ; Climatic data ; Earth and Environmental Science ; Earth Sciences ; Ecological effects ; Ecosystem restoration ; Enterprise resource planning ; Environmental restoration ; ERP ; Hot spots ; human activities ; Human influences ; Land use ; neural network model ; Neural networks ; Plant cover ; Remote sensing ; Research Article ; Revegetation ; Sandstorms ; Vegetation ; Vegetation changes ; Vegetation cover ; vegetation dynamics</subject><ispartof>Frontiers of earth science, 2021-12, Vol.15 (4), p.922-935</ispartof><rights>Copyright reserved, 2021, Higher Education Press</rights><rights>Higher Education Press 2021</rights><rights>Higher Education Press 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-d4fc7e453386ee7f2ede6278744ca7caacee5d6af2d504eb63a4823f43d5139b3</citedby><cites>FETCH-LOGICAL-c365t-d4fc7e453386ee7f2ede6278744ca7caacee5d6af2d504eb63a4823f43d5139b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11707-021-0936-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11707-021-0936-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>DU, Ziqiang</creatorcontrib><creatorcontrib>RONG, Rong</creatorcontrib><creatorcontrib>WU, Zhitao</creatorcontrib><creatorcontrib>ZHANG, Hong</creatorcontrib><title>Examining the efficacy of revegetation practices in ecosystem restoration programs: insights from a hotspot of sandstorm in northern China</title><title>Frontiers of earth science</title><addtitle>Front. Earth Sci</addtitle><description>Retrospectively evaluating the efficacy of revegetation practices is helpful in planning and implementing future ecosystem restoration programs (ERP). Having a good understanding of how human activities can affect vegetation cover, both before and after ERP, is particularly important in sandstorm hotspot areas. The Beijing-Tianjin Sandstorm Source Region (BTSSR) is one such area. We conducted an investigation into vegetation dynamics within the BTSSR. This was done using remote sensing data in conjunction with climate data sets and land use data spanning the 1982-2014 period. The relationships between climatic factors (such as precipitation and temperature), and vegetative change were modeled using a neural network method. By a process of residual analysis, the proportions of human-induced vegetative change both before and after the ERP were established. Our results show that: 1) before the ERP (1982-2000), 40.96% of the study area exhibited significantly progressive vegetation changes ( p<0.05). This proportion decreased to encompass only 20.23% of the study area in the period following the ERP (2001-2014). 2) 89.55% of the study area showed signs of human-induced vegetation degradation before the ERP. Between 2001 and 2014 however, following ERP, this figure fell to only 27.78%. 3) ERP implementation led to visible improvements in vegetative conditions within the BTSSR, especially in areas where ecological restoration measures were directly and anthropogenically applie d. These results highlight the benefits that positive human action (i.e., revegetation initiatives implemented under the framework of an ERP) have brought to the BTSSR.</description><subject>Anthropogenic factors</subject><subject>Beijing-Tianjin sandstorm source region</subject><subject>Climate and land use</subject><subject>Climatic data</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecological effects</subject><subject>Ecosystem restoration</subject><subject>Enterprise resource planning</subject><subject>Environmental restoration</subject><subject>ERP</subject><subject>Hot spots</subject><subject>human activities</subject><subject>Human influences</subject><subject>Land use</subject><subject>neural network model</subject><subject>Neural networks</subject><subject>Plant cover</subject><subject>Remote sensing</subject><subject>Research Article</subject><subject>Revegetation</subject><subject>Sandstorms</subject><subject>Vegetation</subject><subject>Vegetation changes</subject><subject>Vegetation cover</subject><subject>vegetation dynamics</subject><issn>2095-0195</issn><issn>2095-0209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kM1q3DAURk1poUOaB-hOkLVb_dmysyvDtAkEuknWQiNf2RpiaaKrKZ1X6FNXxhmyi0BIiPN9kk5VfWX0G6NUfUfGFFU15aymvWhr8aHacNo35YT2Hy971jefq2vEAy2jU2XKTfVv99fMPvgwkjwBAee8NfZMoiMJ_sAI2WQfAzkmY7O3gMQHAjbiGTPMhcEc0wWJYzIz3hYE_ThlJC7FmRgyxYzHmJdSNGFYIvPSE2Iql6ZAtpMP5kv1yZlnhOvX9ap6-rl73N7VD79_3W9_PNRWtE2uB-msAtkI0bUAynEYoOWqU1Jao6wxFqAZWuP40FAJ-1YY2XHhpBgaJvq9uKpu1t7y4JdT-YA-xFMK5UrNW8472vSyKxRbKZsiYgKnj8nPJp01o3qxrlfruljXi3UtSoavGSxsGCG9Nb8X6tbQVJxBguFYpKIu6kL2kN6L_gdz2pqG</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>DU, Ziqiang</creator><creator>RONG, Rong</creator><creator>WU, Zhitao</creator><creator>ZHANG, Hong</creator><general>Higher Education Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>20211201</creationdate><title>Examining the efficacy of revegetation practices in ecosystem restoration programs: insights from a hotspot of sandstorm in northern China</title><author>DU, Ziqiang ; RONG, Rong ; WU, Zhitao ; ZHANG, Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-d4fc7e453386ee7f2ede6278744ca7caacee5d6af2d504eb63a4823f43d5139b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Anthropogenic factors</topic><topic>Beijing-Tianjin sandstorm source region</topic><topic>Climate and land use</topic><topic>Climatic data</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecological effects</topic><topic>Ecosystem restoration</topic><topic>Enterprise resource planning</topic><topic>Environmental restoration</topic><topic>ERP</topic><topic>Hot spots</topic><topic>human activities</topic><topic>Human influences</topic><topic>Land use</topic><topic>neural network model</topic><topic>Neural networks</topic><topic>Plant cover</topic><topic>Remote sensing</topic><topic>Research Article</topic><topic>Revegetation</topic><topic>Sandstorms</topic><topic>Vegetation</topic><topic>Vegetation changes</topic><topic>Vegetation cover</topic><topic>vegetation dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DU, Ziqiang</creatorcontrib><creatorcontrib>RONG, Rong</creatorcontrib><creatorcontrib>WU, Zhitao</creatorcontrib><creatorcontrib>ZHANG, Hong</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Frontiers of earth science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DU, Ziqiang</au><au>RONG, Rong</au><au>WU, Zhitao</au><au>ZHANG, Hong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Examining the efficacy of revegetation practices in ecosystem restoration programs: insights from a hotspot of sandstorm in northern China</atitle><jtitle>Frontiers of earth science</jtitle><stitle>Front. Earth Sci</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>15</volume><issue>4</issue><spage>922</spage><epage>935</epage><pages>922-935</pages><issn>2095-0195</issn><eissn>2095-0209</eissn><abstract>Retrospectively evaluating the efficacy of revegetation practices is helpful in planning and implementing future ecosystem restoration programs (ERP). Having a good understanding of how human activities can affect vegetation cover, both before and after ERP, is particularly important in sandstorm hotspot areas. The Beijing-Tianjin Sandstorm Source Region (BTSSR) is one such area. We conducted an investigation into vegetation dynamics within the BTSSR. This was done using remote sensing data in conjunction with climate data sets and land use data spanning the 1982-2014 period. The relationships between climatic factors (such as precipitation and temperature), and vegetative change were modeled using a neural network method. By a process of residual analysis, the proportions of human-induced vegetative change both before and after the ERP were established. Our results show that: 1) before the ERP (1982-2000), 40.96% of the study area exhibited significantly progressive vegetation changes ( p<0.05). This proportion decreased to encompass only 20.23% of the study area in the period following the ERP (2001-2014). 2) 89.55% of the study area showed signs of human-induced vegetation degradation before the ERP. Between 2001 and 2014 however, following ERP, this figure fell to only 27.78%. 3) ERP implementation led to visible improvements in vegetative conditions within the BTSSR, especially in areas where ecological restoration measures were directly and anthropogenically applie d. These results highlight the benefits that positive human action (i.e., revegetation initiatives implemented under the framework of an ERP) have brought to the BTSSR.</abstract><cop>Beijing</cop><pub>Higher Education Press</pub><doi>10.1007/s11707-021-0936-3</doi><tpages>14</tpages></addata></record> |
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| subjects | Anthropogenic factors Beijing-Tianjin sandstorm source region Climate and land use Climatic data Earth and Environmental Science Earth Sciences Ecological effects Ecosystem restoration Enterprise resource planning Environmental restoration ERP Hot spots human activities Human influences Land use neural network model Neural networks Plant cover Remote sensing Research Article Revegetation Sandstorms Vegetation Vegetation changes Vegetation cover vegetation dynamics |
| title | Examining the efficacy of revegetation practices in ecosystem restoration programs: insights from a hotspot of sandstorm in northern China |
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