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

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  • Yong Huang

    (Center for Ecological Research, Northeast Forest University, No. 26 Hexing RD., Xiangfan District, Harbin 150040, China
    Appraisal Center for Environment & Engineering Ministry of Environmental Protection, No. 8 Beiyuan RD., Chaoyang District, Beijing 100012, China)

  • Li Zheng

    (Yunnan Academy of Scientific &Technical Information, No. 246 Renmin Donglu, Kunming 650051, China)

  • Dongchuan Wang

    (School of Geology and Geomatics, Tianjin Chengjian University, No. 26 Jinjing RD., Xiqing District, Tianjin 300384, China)

  • Wengang Chen

    (School of Geology and Geomatics, Tianjin Chengjian University, No. 26 Jinjing RD., Xiqing District, Tianjin 300384, China)

  • Qianqian Wang

    (School of Geology and Geomatics, Tianjin Chengjian University, No. 26 Jinjing RD., Xiqing District, Tianjin 300384, China)

Abstract

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.

Suggested Citation

  • Yong Huang & Li Zheng & Dongchuan Wang & Wengang Chen & Qianqian Wang, 2015. "Spatial Distribution of Fragmentation by Diversion-Typed Hydroelectric Plant Exploitation in East Baoxing Catchment from 1999 to 2013," Sustainability, MDPI, vol. 7(4), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:4:p:3515-3527:d:47239
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    1. Wei Ouyang & Fanghua Hao & Kaiyu Song & Xuan Zhang, 2011. "Cascade Dam-Induced Hydrological Disturbance and Environmental Impact in the Upper Stream of the Yellow River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(3), pages 913-927, February.
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    Cited by:

    1. Qianqian Wang & Dongchuan Wang & Yong Huang & Zhiheng Wang & Lihui Zhang & Qiaozhen Guo & Wei Chen & Wengang Chen & Mengqin Sang, 2015. "Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment," Sustainability, MDPI, vol. 7(12), pages 1-17, December.

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