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基于GeoDA的甘肃白龙江流域景观破碎化空间关联性

张金茜,巩杰*,马学成,柳冬青   

  1. (兰州大学资源环境学院/西部环境教育部重点实验室, 兰州 730000)
  • 出版日期:2018-05-10 发布日期:2018-05-10

GeoDAbased spatial correlation analysis of landscape fragmentation in Bailongjiang Watershed of Gansu. 

ZHANG Jin-xi, GONG Jie*, MA Xue-cheng, LIU Dong-qing   

  1. (Key Laboratory of Western China’s Environmental Systems (Ministry of Education)/College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China).
  • Online:2018-05-10 Published:2018-05-10

摘要: 景观破碎化是景观生态学研究热点,其空间分布研究可为景观格局优化提供科学依据。本文综合运用景观格局指数、网格分析和空间自相关等,基于ArcGIS和GeoDA平台分析了2014年甘肃白龙江流域景观破碎化的空间关联性。结果表明:(1) 2014年甘肃白龙江流域不同网格大小下景观格局指数边缘密度(ED)、蔓延度(CONTAG)、Shannon多样性(SHDI)的Moran I分别介于0.478~0.501、0.276~0.374、0.406~0.436,在空间上均呈较强的正相关关系,说明流域景观破碎化空间上呈现集聚现象,存在高高聚集区和低低聚集区。(2) 以10 km×10 km为特征尺度研究流域景观破碎化的空间集聚效应,发现流域景观破碎化程度较高区域主要集中在武都中部,较低区域主要在文县南部。(3) 以10 km×10 km为特征尺度,流域人类活动强度与景观格局指数ED和SHDI的Moran I分别为0.170和0.180,在空间上均呈正相关关系;而与景观格局指数CONTAG的Moran I为-0.095,呈空间负相关,表明流域人类活动强度对景观破碎化的空间分布特征起到一定作用。研究表明,GeoDA可应用于景观生态空间分析。

关键词: 化学转化法, PM2.5, 大气气溶胶, 铵态氮同位素比值

Abstract: Landscape fragmentation is one of the research hotspots in landscape ecology. The spatial distribution of landscape fragmentation can provide scientific basis for landscape pattern optimization. In this study, we analyzed the spatial correlation of landscape fragmentation of Bailongjiang Watershed in Gansu in 2014 using landscape pattern index, grid analysis, and spatial autocorrelation methods based on GeoDA and ArcGIS. The results showed that the Moran’s Ivalues of the landscape pattern indices, i.e. edge density (ED), contagion index (CONTAG), and Shannon’s diversity index (SHDI) under different grid sizes ranged from 0.478-0.501, 0.276-0.374, 0.406-0.436, respectively, indicating a stronger spatial positive correlation and a landscape fragmentation with the agglomeration. Taking 10 km×10 km as the characteristic scale to examine the spatial agglomeration effect of landscape fragmentation, we found that the areas with higher landscape fragmentation degrees were mainly distributed in the middle of Wudu District, and that the areas with lower landscape fragmentation degrees were located in southern Wenxian. Moreover, the Moran’s I value of human activity intensity with ED was 0.170, and the Moran’s I value of human activity intensity with SHDI was 0.180, with positive spatial correlation. However, the Moran’s I value of human activity intensity with CONTAG was -0.095, with negative spatial correlation, highlighting the role of human activity intensity in driving the spatialdistribution characteristics of landscape fragmentation. Our results suggest that GeoDA can be applied to landscape ecological spatial analysis.

Key words: chemical method, atmospheric aerosol., ammonium nitrogen isotope ratio, PM2.5