摘要:基于1977、1990、1997、2013和2017年5期Landsat和Sentinel-2遥感影像，以监督分类的结果和景观格局指数为基础，结合景观生态学理论和前人研究成果，构建了适于干旱区山地类自然遗产地的景观健康诊断体系，通过区域网格分析和空间插值等方法，对新疆天山自然遗产地喀拉峻-库尔德宁区域景观健康状况进行诊断，实现了对范围内各处景观状态的诊断，并结合无人机正射影像对诊断结果进行验证，既丰富了景观生态健康方向的研究，又为自然遗产地生态环境的监测、评估、保护与管理等提供技术方法的支撑和实际应用案例。研究结果表明：40年间冰雪、水体、针阔混交林景观缩减严重，裸地占比年变化率高达62.54%，扩张明显；研究区除1997年景观健康等级为较差外，其余年份景观健康均为一般；40年来研究区北部的景观健康状况要比南部好，同时应将零星分布的健康等级为较差、极差的区域作为今后保护工作的重点对象和典型区。



Abstract:At the 37th World Heritage conference in 2013, Xinjiang Tianshan successfully applied for World Natural Heritage. Xinjiang Tianshan has world-class aesthetic value and ecological value. However, with the continuous development and utilization of tourism resources, the ecological environment here is inevitably disturbed by human activities. It is a key problem how to accurately diagnose where the ecological environment has been damaged when we planning and managing natural heritage sites. To solve this problem, we need to build a landscape health diagnosis system based on RS and GIS technology and landscape ecology theory. This paper selects the Xinjiang Tianshan Natural Heritage Site Karajun-Kurdening region as the research area. Based on Landsat and sentinel-2 remote sensing images of 1977, 1990, 1997, 2013 and 2017, the ecological landscape of the study area was classified and interpreted by using the method of supervised classification. The landscape pattern index was calculated by fragstast software, combining landscape ecology theory and Chinese scholars' research results from the landscape stress degree, landscape vitality, natural heritage sites outstanding universal value, and landscape resilience 4 aspects. We constructed a landscape health diagnosis system suitable for mountainous natural heritage sites in arid regions using regional grid analysis and spatial interpolation method. The landscape health in Xinjiang Tianshan Natural Heritage Site Karajun-Kurdening region was diagnosed. In July, 2018, we carried out 17 aerial photogrammetry in the research area using unmanned aerial vehicle (UAV) to verify the accuracy of landscape health diagnosis system. Then, we used the Smart3D software to get 17 high-resolution orthophoto images, through comparing the orthophoto image with diagnostic image. The research results can be obtained. 1)In the past 40 years, the landscape of ice, water and theropencedrymion decreased seriously. The annual change rate of bare land obvious expansion was as high as 62.54%. 2) The landscape health status of the study area was average except in 1997. Since 1997, the landscape health value in the study area has been continuously increasing. 3) From 1977-2017, the landscape health in the north is better than that in the south of the study area. At the same time, the scattered distribution areas with poor or extremely poor landscape health status should be regarded as the key objects and typical areas of future protection work. It is worth mentioning that our landscape health diagnosis system has stronger applicability, landscape health diagnosis system can better monitor and diagnose the landscape health condition in the study area.





PDF全文下载地址:

https://www.ecologica.cn/stxb/article/pdf/stxb202006011415