Forest cover change and its drivers in the upstream area of the Minjiang River, China
•We investigated pattern of forest cover change in a small local region.•We integrated census block level and pixel level data in a binary logistic model.•Human-driven conversion of forest cover has deleterious effect on biodiversity.•Governments play an important role in the forest cover change.•La...
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description | •We investigated pattern of forest cover change in a small local region.•We integrated census block level and pixel level data in a binary logistic model.•Human-driven conversion of forest cover has deleterious effect on biodiversity.•Governments play an important role in the forest cover change.•Land ownership is also a primary driver of the forest cover change.
Rapid human-driven conversion of global forest cover is contributing to the loss of habitat, biodiversity, and climate change. Even in a relatively short time interval and a small local region with relatively homogeneous biophysical interference, forest cover may be changed considerably by human disturbances. To better understand human influences on the pattern of forest cover change (FCC), we investigated the factors of FCC from 2007 to 2012 by combining the broad socio-economic information at the census block group level with the site-specific information measured at the pixel level. Taking the upstream area of the Minjiang River, China, as a case study, the result indicated that the major forest cover classes had a high rate of persistence in area size during the study period, while conversions among forest covers and into non-forest land occurred frequently, accounting for 5.4% of the landscape. The change of mixed forest was among the greatest one, decreasing sharply from 24.0% to 21.6% of the entire landscape, which converted predominantly into coniferous forest from 2007 to 2012. Additionally, 90.0% of the net gain to non-forest land was largely supplied by coniferous forest and mixed forest. The findings corroborate that human-driven conversions of forest covers have deleterious effects on biodiversity conservation in the upstream area of the Minjiang River. Furthermore, a binary logistic regression model was used to observe the biophysical/socio-economic drivers of FCC. We identified a FCC pattern during the period of study that was associated with collective- or enterprise-owned forests, low level of protection intensity forests, and the regions with high growth rates of fiscal revenue and far away from the city center. These results confirm that as a whole the relevant governments play an important role in the FCC in the region. This study is important for the relevant policy-makers and planners to better understand the underlying patterns and causes of this landscape change, to develop effective strategies for conserving biodiversity. |
doi_str_mv | 10.1016/j.ecolind.2014.06.015 |
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Rapid human-driven conversion of global forest cover is contributing to the loss of habitat, biodiversity, and climate change. Even in a relatively short time interval and a small local region with relatively homogeneous biophysical interference, forest cover may be changed considerably by human disturbances. To better understand human influences on the pattern of forest cover change (FCC), we investigated the factors of FCC from 2007 to 2012 by combining the broad socio-economic information at the census block group level with the site-specific information measured at the pixel level. Taking the upstream area of the Minjiang River, China, as a case study, the result indicated that the major forest cover classes had a high rate of persistence in area size during the study period, while conversions among forest covers and into non-forest land occurred frequently, accounting for 5.4% of the landscape. The change of mixed forest was among the greatest one, decreasing sharply from 24.0% to 21.6% of the entire landscape, which converted predominantly into coniferous forest from 2007 to 2012. Additionally, 90.0% of the net gain to non-forest land was largely supplied by coniferous forest and mixed forest. The findings corroborate that human-driven conversions of forest covers have deleterious effects on biodiversity conservation in the upstream area of the Minjiang River. Furthermore, a binary logistic regression model was used to observe the biophysical/socio-economic drivers of FCC. We identified a FCC pattern during the period of study that was associated with collective- or enterprise-owned forests, low level of protection intensity forests, and the regions with high growth rates of fiscal revenue and far away from the city center. These results confirm that as a whole the relevant governments play an important role in the FCC in the region. This study is important for the relevant policy-makers and planners to better understand the underlying patterns and causes of this landscape change, to develop effective strategies for conserving biodiversity.</description><identifier>ISSN: 1470-160X</identifier><identifier>EISSN: 1872-7034</identifier><identifier>DOI: 10.1016/j.ecolind.2014.06.015</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Animal and plant ecology ; Animal, plant and microbial ecology ; Applied ecology ; Binary logistic regression ; Biodiversity ; Biological and medical sciences ; Conservation, protection and management of environment and wildlife ; Forest cover change ; Forest Resources Inventory Database ; Forestry ; Fresh water ecosystems ; Fundamental and applied biological sciences. Psychology ; General aspects ; General forest ecology ; Generalities. Production, biomass. Quality of wood and forest products. General forest ecology ; Land use ; Parks, reserves, wildlife conservation. Endangered species: population survey and restocking ; Synecology</subject><ispartof>Ecological indicators, 2014-11, Vol.46, p.121-128</ispartof><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-156c5d61eae8931ee1983f81bf553c30c4ac4a6e44cce4a4ea72b15881a747313</citedby><cites>FETCH-LOGICAL-c372t-156c5d61eae8931ee1983f81bf553c30c4ac4a6e44cce4a4ea72b15881a747313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ecolind.2014.06.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28759867$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Xisheng</creatorcontrib><creatorcontrib>Wu, Chengzhen</creatorcontrib><creatorcontrib>Hong, Wei</creatorcontrib><creatorcontrib>Qiu, Rongzu</creatorcontrib><creatorcontrib>Li, Jian</creatorcontrib><creatorcontrib>Hong, Tao</creatorcontrib><title>Forest cover change and its drivers in the upstream area of the Minjiang River, China</title><title>Ecological indicators</title><description>•We investigated pattern of forest cover change in a small local region.•We integrated census block level and pixel level data in a binary logistic model.•Human-driven conversion of forest cover has deleterious effect on biodiversity.•Governments play an important role in the forest cover change.•Land ownership is also a primary driver of the forest cover change.
Rapid human-driven conversion of global forest cover is contributing to the loss of habitat, biodiversity, and climate change. Even in a relatively short time interval and a small local region with relatively homogeneous biophysical interference, forest cover may be changed considerably by human disturbances. To better understand human influences on the pattern of forest cover change (FCC), we investigated the factors of FCC from 2007 to 2012 by combining the broad socio-economic information at the census block group level with the site-specific information measured at the pixel level. Taking the upstream area of the Minjiang River, China, as a case study, the result indicated that the major forest cover classes had a high rate of persistence in area size during the study period, while conversions among forest covers and into non-forest land occurred frequently, accounting for 5.4% of the landscape. The change of mixed forest was among the greatest one, decreasing sharply from 24.0% to 21.6% of the entire landscape, which converted predominantly into coniferous forest from 2007 to 2012. Additionally, 90.0% of the net gain to non-forest land was largely supplied by coniferous forest and mixed forest. The findings corroborate that human-driven conversions of forest covers have deleterious effects on biodiversity conservation in the upstream area of the Minjiang River. Furthermore, a binary logistic regression model was used to observe the biophysical/socio-economic drivers of FCC. We identified a FCC pattern during the period of study that was associated with collective- or enterprise-owned forests, low level of protection intensity forests, and the regions with high growth rates of fiscal revenue and far away from the city center. These results confirm that as a whole the relevant governments play an important role in the FCC in the region. This study is important for the relevant policy-makers and planners to better understand the underlying patterns and causes of this landscape change, to develop effective strategies for conserving biodiversity.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Binary logistic regression</subject><subject>Biodiversity</subject><subject>Biological and medical sciences</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Forest cover change</subject><subject>Forest Resources Inventory Database</subject><subject>Forestry</subject><subject>Fresh water ecosystems</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General forest ecology</subject><subject>Generalities. Production, biomass. Quality of wood and forest products. General forest ecology</subject><subject>Land use</subject><subject>Parks, reserves, wildlife conservation. Endangered species: population survey and restocking</subject><subject>Synecology</subject><issn>1470-160X</issn><issn>1872-7034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkE9LxDAQxYsouK5-BCEXwYOtmSZN2pPI4j9YEUTBW8imUzelm65Jd8Fvb-ouXoUhE4bfm8e8JDkHmgEFcd1maPrOujrLKfCMioxCcZBMoJR5Kinjh_HPJU1B0I_j5CSElkZdVYlJ8n7fewwDMf0WPTFL7T6RaFcTOwRSexungVhHhiWSzToMHvWK6PiSvvkdPlvX2qgiryN7RWZL6_RpctToLuDZvk-jz93b7DGdvzw8zW7nqWEyH1IohClqAaixrBggQlWypoRFUxTMMGq4jiWQc2OQa45a5gsoyhK05JIBmyaXu71r339t4h1qZYPBrtMO-01QIFjFJWfViBY71Pg-BI-NWnu70v5bAVVjjKpV-xjVGKOiQsUYo-5ib6GD0V3jtTM2_InzUhZVKWTkbnYcxnu3Fr0KxqIzWFuPZlB1b_9x-gG4HYp9</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Hu, Xisheng</creator><creator>Wu, Chengzhen</creator><creator>Hong, Wei</creator><creator>Qiu, Rongzu</creator><creator>Li, Jian</creator><creator>Hong, Tao</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope></search><sort><creationdate>20141101</creationdate><title>Forest cover change and its drivers in the upstream area of the Minjiang River, China</title><author>Hu, Xisheng ; Wu, Chengzhen ; Hong, Wei ; Qiu, Rongzu ; Li, Jian ; Hong, Tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-156c5d61eae8931ee1983f81bf553c30c4ac4a6e44cce4a4ea72b15881a747313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Binary logistic regression</topic><topic>Biodiversity</topic><topic>Biological and medical sciences</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Forest cover change</topic><topic>Forest Resources Inventory Database</topic><topic>Forestry</topic><topic>Fresh water ecosystems</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>General forest ecology</topic><topic>Generalities. Production, biomass. Quality of wood and forest products. General forest ecology</topic><topic>Land use</topic><topic>Parks, reserves, wildlife conservation. Endangered species: population survey and restocking</topic><topic>Synecology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Xisheng</creatorcontrib><creatorcontrib>Wu, Chengzhen</creatorcontrib><creatorcontrib>Hong, Wei</creatorcontrib><creatorcontrib>Qiu, Rongzu</creatorcontrib><creatorcontrib>Li, Jian</creatorcontrib><creatorcontrib>Hong, Tao</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ecological indicators</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Xisheng</au><au>Wu, Chengzhen</au><au>Hong, Wei</au><au>Qiu, Rongzu</au><au>Li, Jian</au><au>Hong, Tao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Forest cover change and its drivers in the upstream area of the Minjiang River, China</atitle><jtitle>Ecological indicators</jtitle><date>2014-11-01</date><risdate>2014</risdate><volume>46</volume><spage>121</spage><epage>128</epage><pages>121-128</pages><issn>1470-160X</issn><eissn>1872-7034</eissn><abstract>•We investigated pattern of forest cover change in a small local region.•We integrated census block level and pixel level data in a binary logistic model.•Human-driven conversion of forest cover has deleterious effect on biodiversity.•Governments play an important role in the forest cover change.•Land ownership is also a primary driver of the forest cover change.
Rapid human-driven conversion of global forest cover is contributing to the loss of habitat, biodiversity, and climate change. Even in a relatively short time interval and a small local region with relatively homogeneous biophysical interference, forest cover may be changed considerably by human disturbances. To better understand human influences on the pattern of forest cover change (FCC), we investigated the factors of FCC from 2007 to 2012 by combining the broad socio-economic information at the census block group level with the site-specific information measured at the pixel level. Taking the upstream area of the Minjiang River, China, as a case study, the result indicated that the major forest cover classes had a high rate of persistence in area size during the study period, while conversions among forest covers and into non-forest land occurred frequently, accounting for 5.4% of the landscape. The change of mixed forest was among the greatest one, decreasing sharply from 24.0% to 21.6% of the entire landscape, which converted predominantly into coniferous forest from 2007 to 2012. Additionally, 90.0% of the net gain to non-forest land was largely supplied by coniferous forest and mixed forest. The findings corroborate that human-driven conversions of forest covers have deleterious effects on biodiversity conservation in the upstream area of the Minjiang River. Furthermore, a binary logistic regression model was used to observe the biophysical/socio-economic drivers of FCC. We identified a FCC pattern during the period of study that was associated with collective- or enterprise-owned forests, low level of protection intensity forests, and the regions with high growth rates of fiscal revenue and far away from the city center. These results confirm that as a whole the relevant governments play an important role in the FCC in the region. This study is important for the relevant policy-makers and planners to better understand the underlying patterns and causes of this landscape change, to develop effective strategies for conserving biodiversity.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ecolind.2014.06.015</doi><tpages>8</tpages></addata></record> |
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subjects | Animal and plant ecology Animal, plant and microbial ecology Applied ecology Binary logistic regression Biodiversity Biological and medical sciences Conservation, protection and management of environment and wildlife Forest cover change Forest Resources Inventory Database Forestry Fresh water ecosystems Fundamental and applied biological sciences. Psychology General aspects General forest ecology Generalities. Production, biomass. Quality of wood and forest products. General forest ecology Land use Parks, reserves, wildlife conservation. Endangered species: population survey and restocking Synecology |
title | Forest cover change and its drivers in the upstream area of the Minjiang River, China |
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