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Landscape Fragmentation in Qinling–Daba Mountains Nature Reserves and Its Influencing Factors

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  • Yingzhuo Zhang

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Haoran Yin

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Lianqi Zhu

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Changhong Miao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

Abstract

Climate change and intensified human activity have altered the landscape pattern of nature reserves and are expected to induce persistent changes in habitat quality. Using GIS technology and landscape ecological theories, we quantitatively analyzed landscape fragmentation characteristics and the driving factors for the interior and peripheries of the Qinling–Daba Mountains nature reserves during 2010–2017. Using spatial principal component analysis, landscape pattern indices, and Geodetector, we evaluated the habitat quality status of different nature reserve types in different regions and the impacts of human disturbance on these areas. The results are as follows: (1) Most national nature reserves in the Qinling–Daba Mountains were moderately or highly fragmented during 2010–2017, and the fragmentation degree of a few reserves exhibited a decreasing trend. (2) The fragmentation degree of landscape patches from the core areas to the experimental areas of the inner nature reserves showed a trend of being low in the middle and high in the surrounding area; the level of landscape fragmentation gradually decreased from the edge of 1 km (M-1) to 5 km (M-5). (3) There was spatial differentiation in the intensity of landscape fragmentation among the nature reserves; human activity intensity, land-use degree, elevation, slope gradient, and topographic relief were the factors influencing the spatial differentiation of landscape fragmentation, and the contribution of anthropogenic factors was significantly greater than that of natural factors. Human activities, such as the construction of network infrastructures, irrational partition management, expansion of agricultural and industrial production activities, were the main reasons for the spatial differentiation of landscape fragmentation in the nature reserves. These results can provide significant scientific support for ecological restoration in the nature reserves and contribute to the coordinated development between socio-economic system and ecological environment in the exceedingly impoverished areas.

Suggested Citation

  • Yingzhuo Zhang & Haoran Yin & Lianqi Zhu & Changhong Miao, 2021. "Landscape Fragmentation in Qinling–Daba Mountains Nature Reserves and Its Influencing Factors," Land, MDPI, vol. 10(11), pages 1-20, October.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1124-:d:662927
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    References listed on IDEAS

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    2. Yifang Wang & Linlin Cheng & Yang Zheng, 2023. "An Adjusted Landscape Ecological Security of Cultivated Land Evaluation Method Based on the Interaction between Cultivated Land and Surrounding Land Types," Land, MDPI, vol. 12(4), pages 1-20, April.
    3. Yi Deng & Ziyi Mao & Jinling Huang & Faling Yan & Shenghai Han & Anqi Li, 2022. "Spatial Patterns of Natural Protected Areas and Construction of Protected Area Groups in Guangdong Province," IJERPH, MDPI, vol. 19(22), pages 1-25, November.
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    7. Yufang Liu & Hu Yu, 2025. "Climate Change-Driven Spatiotemporal Dynamics of Landscape Ecological in the Qinling Mountains (1980–2023)," Land, MDPI, vol. 14(5), pages 1-25, May.

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