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云贵高原湿地景区人类活动强度的空间分布——以云南省拉市海流域为例
引用本文:李海萍,王娜萍,代宇庭. 云贵高原湿地景区人类活动强度的空间分布——以云南省拉市海流域为例[J]. 应用生态学报, 2021, 32(8): 2915-2922. DOI: 10.13287/j.1001-9332.202108.017
作者姓名:李海萍  王娜萍  代宇庭
作者单位:中国人民大学环境学院, 北京 100872
基金项目:中国人民大学“中央高校建设世界一流大学(学科)和特色发展引导专项资金”资助
摘    要:人类活动强度多用于衡量人类对自然生态的影响程度,具有明显的空间差异性.本研究以云南省拉市海流域为例,采用SPOT遥感影像对土地利用数据进行更新,通过对不同土地类型赋权得到格网化的土地利用强度综合指数,并将其作为基础人类活动强度.同时,又纳入了当地的骑马和划船两项主要旅游活动,基于马场位置和马匹数量以及船只数量,采用地理...

关 键 词:人类活动强度  地理信息系统  格网化  核密度分析  空间定量化
收稿时间:2021-01-29

Spatial distribution of human activity intensity in Yunnan-Guizhou Plateau Wetland scenic area: A case study of Lashihai watershed in Yunnan Province,China
LI Hai-ping,WANG Na-ping,DAI Yu-ting. Spatial distribution of human activity intensity in Yunnan-Guizhou Plateau Wetland scenic area: A case study of Lashihai watershed in Yunnan Province,China[J]. The journal of applied ecology, 2021, 32(8): 2915-2922. DOI: 10.13287/j.1001-9332.202108.017
Authors:LI Hai-ping  WANG Na-ping  DAI Yu-ting
Affiliation:School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Abstract:Human activity intensity is mostly used to quantify the degree of human influence on natural systems, with obvious spatial variability. With Lashihai watershed in Yunnan Province as an example, we used SPOT remote sensing images to update land use data, and obtained a comprehensive index of land use intensity after gridding by assigning weights to different land types, which was considered as the basic human activity intensity. The local tourism activities (horseback riding and boating) were also included. The horseback riding and boating were spatially quantified according to the location of horse farms and the abundance of horses and boats which were superimposed with the basic human activity intensity on the spatial scale of 100 m×100 m to obtain a more accurate comprehensive human activity intensity and to analyze the spatial variations. The results showed that the gridding and the kernel density analysis improved the accuracy of spatial analysis and reflected the spatial superposition and diffusion effects. In the comprehensive human activity intensity map of Lashihai watershed, the highest intensity value of water area was at the mouth of the sea, the lowest intensity value was at the center of the sea, and the overall trend of intensity gradually decreased from the surrounding to the middle. The land settlement had the highest intensity, the intensity value of the agricultural land gathering area was at the middle level, and the intensity of human activities in the forestry area of higher altitude was lower. The comprehensive human activity intensity in the water area of the Lashihai watershed varied most obviously, and differed greatly from the basic human activity intensity. Although there were many local characteristic tourism activities in Yunnan-Guizhou Plateau Wetland scenic area, but their land use types did not change. We need to take them into account when quantifying the intensity of human activities.
Keywords:human activity intensity  geographic information system  gridding  kernel density analysis  spatial quantification  
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