4.7 Review

Identification and scenario prediction of degree of wetland damage in Guangxi based on the CA-Markov model

期刊

ECOLOGICAL INDICATORS
卷 127, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.ecolind.2021.107764

关键词

Wetland damage; CA-Markov; Geographic detector; Scenario simulation and prediction; Guangxi

资金

  1. National Natural Science Foundation of China [42071135, 41930537]
  2. Guangxi Science and Technology Project [AD19110142]

向作者/读者索取更多资源

The study found that the total area of wetlands in Guangxi has decreased over the past 30 years, with paddy fields accounting for the largest proportion. The degree of wetland damage is severe, with key driving factors including distance from cities and towns, average precipitation, and population density. Future development trends indicate that wetlands may experience stable, degraded, or increased states under different scenarios by 2035.
Wetlands are an important transitional ecosystem, and they play an important role in maintaining ecological balance. However, human activities and climate change have led to a decrease in wetlands. Therefore, to explore the degree of damage and assess the future trends of Guangxi wetlands, this study used the Google Earth Engine (GEE) cloud platform, and the support vector machine algorithm was selected for comparison and analysis to simulate the accuracy of land cover. GIS was used to analyse the evolution and degree of damage of nearly 30 Guangxi wetlands. The geographic detector model was used to explore the driving mechanism, and finally, the CA-Markov model and multi-scenario simulation were used to predict the wetland evolution from 2018 to 2035 to reveal the future direction of development. The results showed that (1) From 1990 to 2018, paddy fields accounted for the largest proportion of wetlands in Guangxi. In the past 30 years, the total area of wetlands in Guangxi has been degraded, with a total decrease of 983.33 km2. (2) The degree of wetland damage results showed that the total damaged area was greater than the total restored area, The wetland damage in Nanning city was the most serious, with an area difference of 503.22 km2 between the damaged and restored areas. (3) The analysis of the driving mechanism of wetland damage showed that distance from cities and towns, average precipitation and population density were the main driving factors. (4) The spatial distribution of natural development and economic construction in 2035 will be slightly damaged; additionally, the spatial distribution of ecological protection will expand as a whole. From 2025 to 2035, wetlands will be basically stable under Natural Development Scenario (NDS), degraded each year under the Economic Construction Scenario (ECS), and steadily increased each year under Ecological Protection Scenario (EPS).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据