Subjects: Geosciences >> Geography submitted time 2023-05-30 Cooperative journals: 《干旱区研究》
Abstract： The construction of an ecological security pattern in arid zones is conducive to promoting a dynamic balance between the supply and demand of regional ecosystem services. This study involves the Kaidu-Kongque River Basin in an arid zone and uses the InVEST model, the RWEQ model, and the Getis- Ord Gi* model to analyze the ecological supply sources, degree of land use, GDP per km2, population density, and the nighttime light index. This approach was used to analyze the ecological demand sources and determine the ecological corridors between supply and demand sources based on the minimum cumulative resistance model so as to construct an ecological security pattern of the study area. The results of the study are as follows: (1) There are 14 ecological supply source areas in the Kaidu-Kongque River Basin, accounting for 21.46% of the study area, and a total of 9 patches of key ecological demand source areas, accounting for 4.63% of the total area of the basin; 126 ecological corridors, including a total of 17 important corridors with a total length of 654.68 km; 65 ecological nodes, including 24 key ecological nodes. (2) The spatial mismatch between supply and demand of ecosystem services in Kaidu-Kongque River Basin is obvious, and the high supply area and high demand area show obvious characteristics with urban boundary as the dividing line. (3) Combining the natural geographic characteristics and the mobility of landscape ecosystem services in the study area, the resistance surface model is used to construct “two cores, two zones, three horizons, four verticals, and multiple nodes”of the Kaidu-Kongque River Basin. In conclusion, the ecological security pattern of the Kaidu-Kongque River Basin can provide a scientific reference for protecting regional ecosystem service functions and formulating sustainable development policies.
Subjects: Geosciences >> Other Disciplines of Geosciences submitted time 2019-09-11 Cooperative journals: 《干旱区研究》
Abstract：运用遥感手段结合历史时期遥感影像数据，以天山云杉 (Picea schrenkiana var. tianschanica)林生境特征为固定因子，结合植被指数分析、地形因子分析、主成分分析及面向对象的决策树分类的方法提取历史时期天山云杉林的空间分布信息，从而为历史资料缺失情境下的天然林资源保护工程实施效益评价提供支持。研究表明：① 将天山云杉林的年龄特征作为固定因子，以现状年高空间分辨率遥感影像及森林资源二类调查数据作为本底资料，在面向对象分类方法支持下可以很好的从历史时期的遥感影像中提取出天山云杉林的历史空间分布信息，提取精度可达93.3%；② 在植被指数因子中， NDVI对天山云杉林指示性最好，并确定用于天山云杉林提取的最佳NDVI值域为［0.35，0.8］；③ 地形因子及主成分分析方法可以大大压缩影像的冗余信息，在提升云杉林信息提取的精度的同时提高运行速度。从整体来看，利用历史时期遥感影像并结合天山云杉林的生境特征，可以很好的提取出历史时期云杉林空间分布信息，从而为资料缺失情境下的森林资源管理措施制定及应对气候变化提供数据支持。
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