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Ecological effects of land-use change on two sides of the Hu Huanyong Line in China

    1. [1] Wuhan University

      Wuhan University

      China

    2. [2] Beijing Normal University

      Beijing Normal University

      China

  • Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 113, 2022
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Scale and spatial pattern are two essential attributes of an ecosystem. Impacts of land-use change on the scale and spatial pattern of ecological land are not systematically well reported. This study analyzed the spatiotemporal change characteristics of ecological land on two sides of the Hu Huanyong Line (Hu Line) based on land use/cover remote sensing images of 1995, 2005 and 2015 in China. An ecological disturbance index combining scale with fragmentation changes was introduced to quantitatively evaluate the ecological consequences caused by land-use change. From 1995–2015, China’s ecological land area decreased by 26.94 × 104 km2, which was 4.83% of the level in 1995. The results showed that the overall intensity of ecological disturbance caused by land-use change increased over time, and significant spatial heterogeneity was found on both sides of the Hu Line. Clustered ecological land degradation coexisted with large-scale ecological restoration on the northwestern side, while multipoint farmland occupation and the distribution of the Grain for Green project caused most of the ecological land change on the southeastern side. Nine combination types of ecological consequences based on scale and fragmentation changes were identified during 1995–2015. Although the ecological land scale decreased in some counties, positive ecological consequences were found by alleviating the fragmentation of ecological land. We argue that scale-oriented conservation policies of ecological land should be replaced by cooperative conservation on an increasing scale and with optimized spatial patterns.


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