Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013

In the Southwest Mountain areas, successive hydroelectric plant exploitation by humans on Baoxing River can exert a significant impact on regional landscape composition and structure. Taking East Baoxing River Catchment as the study area, the authors developed a method combining Moving Window based...

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Main Authors: Yong Huang, Li Zheng, Dongchuan Wang, Wengang Chen, Qianqian Wang
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/7/4/3515
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spelling doaj-c866c57daa554d6a946e6a5ed7b2a0392020-11-24T23:32:24ZengMDPI AGSustainability2071-10502015-03-01743515352710.3390/su7043515su7043515Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013Yong Huang0Li Zheng1Dongchuan Wang2Wengang Chen3Qianqian Wang4Center for Ecological Research, Northeast Forest University, No. 26 Hexing RD., Xiangfan District, Harbin 150040, ChinaYunnan Academy of Scientific &Technical Information, No. 246 Renmin Donglu, Kunming 650051, ChinaSchool of Geology and Geomatics, Tianjin Chengjian University, No. 26 Jinjing RD., Xiqing District, Tianjin 300384, ChinaSchool of Geology and Geomatics, Tianjin Chengjian University, No. 26 Jinjing RD., Xiqing District, Tianjin 300384, ChinaSchool of Geology and Geomatics, Tianjin Chengjian University, No. 26 Jinjing RD., Xiqing District, Tianjin 300384, ChinaIn the Southwest Mountain areas, successive hydroelectric plant exploitation by humans on Baoxing River can exert a significant impact on regional landscape composition and structure. Taking East Baoxing River Catchment as the study area, the authors developed a method combining Moving Window based Calculation and Spatial Correlation Analysis to analyze the relationship between fragmentation and related spatial factors at a local scale, aiming to examine the spatial distribution rule of the landscape fragmentation and provide scientific support for the conservation of landscape ecology in the study area. From the perspective of the whole study area, although there is no clear relationship between the selected factors and the Change of DIVISION (CODIV), the comparison of R values in the latter interval (2006–2013) with those in the former interval (1999–2006) proves that the human activities of plant building have led to the increase in the DIVISION value. At the local scale, results show that a high positive relationship exists between slope and CODIV (R = 0.857, p-value = 0.05), while the relationship between river distance and CODIV is highly negative (R = −0.837, p-value = 0.01). A medium strong negative relationship lies between elevation and CODIV, while there is almost no linear relationship between distance from Qiaoqi reservoir and CODIV.http://www.mdpi.com/2071-1050/7/4/3515landscape fragmentation processesmoving windowchange of divisionhydroelectric cascade exploitationzonal statistics
collection DOAJ
language English
format Article
sources DOAJ
author Yong Huang
Li Zheng
Dongchuan Wang
Wengang Chen
Qianqian Wang
spellingShingle Yong Huang
Li Zheng
Dongchuan Wang
Wengang Chen
Qianqian Wang
Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013
Sustainability
landscape fragmentation processes
moving window
change of division
hydroelectric cascade exploitation
zonal statistics
author_facet Yong Huang
Li Zheng
Dongchuan Wang
Wengang Chen
Qianqian Wang
author_sort Yong Huang
title Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013
title_short Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013
title_full Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013
title_fullStr Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013
title_full_unstemmed Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013
title_sort spatial distribution of fragmentation by diversion-typed hydroelectric plant exploitation in east baoxing catchment from 1999 to 2013
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2015-03-01
description In the Southwest Mountain areas, successive hydroelectric plant exploitation by humans on Baoxing River can exert a significant impact on regional landscape composition and structure. Taking East Baoxing River Catchment as the study area, the authors developed a method combining Moving Window based Calculation and Spatial Correlation Analysis to analyze the relationship between fragmentation and related spatial factors at a local scale, aiming to examine the spatial distribution rule of the landscape fragmentation and provide scientific support for the conservation of landscape ecology in the study area. From the perspective of the whole study area, although there is no clear relationship between the selected factors and the Change of DIVISION (CODIV), the comparison of R values in the latter interval (2006–2013) with those in the former interval (1999–2006) proves that the human activities of plant building have led to the increase in the DIVISION value. At the local scale, results show that a high positive relationship exists between slope and CODIV (R = 0.857, p-value = 0.05), while the relationship between river distance and CODIV is highly negative (R = −0.837, p-value = 0.01). A medium strong negative relationship lies between elevation and CODIV, while there is almost no linear relationship between distance from Qiaoqi reservoir and CODIV.
topic landscape fragmentation processes
moving window
change of division
hydroelectric cascade exploitation
zonal statistics
url http://www.mdpi.com/2071-1050/7/4/3515
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