长江流域资源与环境 >> 2022, Vol. 31 >> Issue (3): 634-646.doi: 10.11870/cjlyzyyhj202203013

• 自然资源 • 上一篇    下一篇

贵州喀斯特山区近30 a景观格局脆弱性时空演化研究

陆清平1,2,赵翠薇1,2,王  杰1,2,杨兴艳1,2   

  1. (1.贵州师范大学 地理与环境科学学院,贵州 贵阳 550025;2.喀斯特山地生态环境保护与资源利用协同创新中心,贵州 贵阳 550025)
  • 出版日期:2022-03-20 发布日期:2022-04-07

Research on the Temporal and Spatial Evolution of Landscape  Pattern Vulnerability in Guizhou Karst Mountains in the Past 30 Years

LU Qing-ping1,2, ZHAO Cui-wei1,2,WANG Jie1,2,YANG Xing-yan1,2   

  1. (1.School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025,China;2. Collaborative Innovation Center for Ecological Environment Protection and Resource Utilization in Karst Mountains, Guiyang 550025,China)
  • Online:2022-03-20 Published:2022-04-07

摘要: 研究景观格局脆弱性,对提高生态保护意识、促进生态文明建设有重要意义。运用景观指数和空间自相关分析方法,探究了贵州典型喀斯特山区近30 a的景观格局脆弱性时空演化特征。结果表明:(1)研究区最佳分析粒度是150 m、幅度为900 m;(2) 1990~2018年景观格局脆弱性以低和较低类型为主,面积均占70%以上;转化类型主要发生在低和较低及中等脆弱度间,且集中于海拔800~1 400 m和坡度6°~25°范围;(3)1990~2018年景观格局脆弱性存在明显的正向空间自相关关系,其中,高-高集聚主要在中部贵阳、西部六盘水、西南兴义、东北部思南及东南荔波县等区域,低-低集聚区主要在北部余庆县和南部紫云县等地;(4)国家政策和人类活动等综合作用是引起景观格局脆弱性变化的重要因素。研究区近30 a景观格局脆弱性略有增加且空间上有分散趋势。

Abstract: Studying the fragility of the landscape patterns is of great significance for improving the awareness of ecological protection and promoting the construction of ecological civilization.This paper uses the landscape index and spatial autocorrelation analysis to study the temporal and spatial evolution characteristics of the landscape pattern vulnerability of the typical karst mountainous area in Guizhou from 1990 to 2018. The results show that: (1) The best analysis particle size in the study area is 150 m, and the amplitude is 900 m. (2) In 1990 and 2018, the vulnerability index of landscape pattern was mainly low and low, and the area accounted for more than 70%;The conversion types of landscape pattern vulnerability mainly occur between low vulnerability, low vulnerability and medium vulnerability, and the type of landscape pattern vulnerability changes are mainly concentrated in the study area between the altitude of 800-1 400 m and the slope of 6-25 degree. (3) In 1990 and 2018, there was an obvious positive spatial autocorrelation of vulnerability. Local autocorrelation high-high agglomeration is mainly located in Guiyang in the central part of the study area, Liupanshui in the west of Guizhou, Xingyi in the southwest, Sinan in the northeast, and Libo County in the southeast, etc. The low-low agglomeration area is mainly in Yuqing in the north of the study area. County and Ziyun County in the south. (4) This study found that the comprehensive effects of national policies and human activities are important reasons for the changes in the vulnerability of the landscape pattern.The vulnerability of the landscape pattern in the study area has increased slightly in the past 30 years, and the spatial distribution tends to be scattered.

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