Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration

In order to protect the ecological environment and solve the poverty problem in the western region, China has established an ecological migration (EM) policy. This policy aims to relocate populations from poverty-stricken areas with fragile ecological environments, which inevitably leads to changes...

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Main Authors: Tingting Zhang, Zhenrong Du, Jianyu Yang, Xiaochuang Yao, Cong Ou, Bowen Niu, Shuai Yan
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/7/1381
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spelling doaj-18e0f1d947bf4310aa39dc2a8a16c1ec2021-04-03T23:01:54ZengMDPI AGRemote Sensing2072-42922021-04-01131381138110.3390/rs13071381Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological MigrationTingting Zhang0Zhenrong Du1Jianyu Yang2Xiaochuang Yao3Cong Ou4Bowen Niu5Shuai Yan6College of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaIn order to protect the ecological environment and solve the poverty problem in the western region, China has established an ecological migration (EM) policy. This policy aims to relocate populations from poverty-stricken areas with fragile ecological environments, which inevitably leads to changes in land cover and the ecological environment. The objective of this study was to identify the effects of EM in a typical region (Wuwei), including changes in the land cover and ecological risk (ER). A land cover change monitoring method was implemented for the 2010–2019 period for six land cover classes using random forest, which is an effective supervised machine learning method. The land cover change patterns were analyzed by determining the area changes of the six classes and applying a land use transition matrix, and a landscape ecological risk model based on landscape disturbance and fragility was used. Our results demonstrate that the increase and decrease in the area of cultivated land, unused land, and construction land can be divided into two stages (2010–2015 and 2015–2019). The area of water and perennial snow doubled during the study periods. The major land cover transitions were between unused land and construction land and between unused land and crop land. In addition, the ER value for the Qilian Mountain National Nature Reserve decreased because of the implementation of EM in the study area, indicating that the ecological environment was effectively improved. The results demonstrate the advantage of the proposed approach in understanding the impact of EM on regional land cover changes and the ecological environment so as to provide guidance for follow-up planning and development.https://www.mdpi.com/2072-4292/13/7/1381random forestecological migrationland cover change monitoringecological riskGoogle Earth Engine
collection DOAJ
language English
format Article
sources DOAJ
author Tingting Zhang
Zhenrong Du
Jianyu Yang
Xiaochuang Yao
Cong Ou
Bowen Niu
Shuai Yan
spellingShingle Tingting Zhang
Zhenrong Du
Jianyu Yang
Xiaochuang Yao
Cong Ou
Bowen Niu
Shuai Yan
Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
Remote Sensing
random forest
ecological migration
land cover change monitoring
ecological risk
Google Earth Engine
author_facet Tingting Zhang
Zhenrong Du
Jianyu Yang
Xiaochuang Yao
Cong Ou
Bowen Niu
Shuai Yan
author_sort Tingting Zhang
title Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
title_short Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
title_full Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
title_fullStr Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
title_full_unstemmed Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
title_sort land cover mapping and ecological risk assessment in the context of recent ecological migration
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-04-01
description In order to protect the ecological environment and solve the poverty problem in the western region, China has established an ecological migration (EM) policy. This policy aims to relocate populations from poverty-stricken areas with fragile ecological environments, which inevitably leads to changes in land cover and the ecological environment. The objective of this study was to identify the effects of EM in a typical region (Wuwei), including changes in the land cover and ecological risk (ER). A land cover change monitoring method was implemented for the 2010–2019 period for six land cover classes using random forest, which is an effective supervised machine learning method. The land cover change patterns were analyzed by determining the area changes of the six classes and applying a land use transition matrix, and a landscape ecological risk model based on landscape disturbance and fragility was used. Our results demonstrate that the increase and decrease in the area of cultivated land, unused land, and construction land can be divided into two stages (2010–2015 and 2015–2019). The area of water and perennial snow doubled during the study periods. The major land cover transitions were between unused land and construction land and between unused land and crop land. In addition, the ER value for the Qilian Mountain National Nature Reserve decreased because of the implementation of EM in the study area, indicating that the ecological environment was effectively improved. The results demonstrate the advantage of the proposed approach in understanding the impact of EM on regional land cover changes and the ecological environment so as to provide guidance for follow-up planning and development.
topic random forest
ecological migration
land cover change monitoring
ecological risk
Google Earth Engine
url https://www.mdpi.com/2072-4292/13/7/1381
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