Coupling Vulnerability of Ecosystem and Poverty Occurrence—A Case Study of Poverty-Stricken Areas of Longnan in Qinba Mountain
- DOI
- 10.2991/assehr.k.201023.087How to use a DOI?
- Keywords
- Occurrence of poverty, INVEST model, Vulnerability, Coupling analysis
- Abstract
Our study was based on the division of the contiguously poverty-stricken areas of Qinba Mountain in China. To find the sustainable path of regional development, we used INVEST model to calculate the amount of ecosystem services in 27 areas of Longnan, to structure an index evaluation system, and to simulate the distribution space of regional ecosystem vulnerability. Coupling and coordinating model were also used to analyze the results of simulation and the incidence of poverty, and the coupling types and spatial distribution patterns were accurately to reach the following conclusions: The incidence of poverty in each area of Longnan was quite different, and the vulnerability of the poverty-stricken areas shows a spatial differentiation pattern, most of them are in the state of “high exposure” or “double stress”. The relationship between vulnerability and poverty degree was obvious, the higher the vulnerability, the higher the risk of poverty. The coupling degree of vulnerability with poverty was spatially decreasing from north to south, and most areas have a high degree of coupling and coordinating, mainly in the south and middle of the study areas.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li Jie AU - Song Xiaoyu AU - Wu Na PY - 2020 DA - 2020/11/06 TI - Coupling Vulnerability of Ecosystem and Poverty Occurrence—A Case Study of Poverty-Stricken Areas of Longnan in Qinba Mountain BT - Proceedings of the 2020 5th International Conference on Modern Management and Education Technology (MMET 2020) PB - Atlantis Press SP - 436 EP - 445 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201023.087 DO - 10.2991/assehr.k.201023.087 ID - Jie2020 ER -