Vulnerability Measurement Analysis of Rural Landscape under Human Disturbance Factors - An empirical analysis from Liangshan Yi Autonomous Prefecture of Sichuan Province, Southwestern China

EasyChair Preprint 6472

Abstract

The paper addresses the inadequacy of traditional landscape vulnerability measurement methods in considering human disturbance factors, adds the population pressure index, to constructs a rural landscape vulnerability measurement model of "landscape sensitivity index (LSI) - landscape adaptability index (LAI) - population pressure index (PPI)" by combining rural landscape vulnerability characterization, which can provide a reference for the evaluation of rural landscape vulnerability and optimization of landscape security pattern. Located in the southwestern part of Sichuan Province,Southwestern China, Liangshan Yi Autonomous Prefecture is an ecologically fragile area in the mountainous region. The results show that :(1) the evaluation model has good feasibility to portray the vulnerability of rural landscape in the study area,  which can provide a reference for the study of rural landscape vulnerability measurement. (2) During the period of 2005-2015, the unevenness of rural landscape vulnerability in each district and county of the study area is significant, showing the characteristics of circles. (3) Natural environmental factors have a continuous influence on the fragility of rural landscape, while socio-economic and urban-rural construction and other anthropogenic disturbance factors have a transformative influence and administrative force is another major influencing factor.

Keyphrases: Spatial and temporal evolution, landscape adaptability index (LAI), landscape pattern, landscape sensitivity index(LSI), landscape vulnerability index(LVI), population pressure index(PPI)

@booklet{EasyChair:6472,
  author    = {Yang Chen and Ruizhi Zhang},
  title     = {Vulnerability Measurement Analysis of Rural Landscape under Human Disturbance Factors - An empirical analysis from Liangshan Yi Autonomous Prefecture of Sichuan Province, Southwestern China},
  howpublished = {EasyChair Preprint 6472},
  year      = {EasyChair, 2021}}