LAPSE:2023.1354v1
Published Article

LAPSE:2023.1354v1
Ecological Environmental Effects and Their Driving Factors of Land Use/Cover Change: The Case Study of Baiyangdian Basin, China
February 21, 2023
Abstract
Due to the combined effects of the natural environment, climate change and human activities, profound changes have occurred in terms of the eco-environmental effects of land use/cover change (LUCC) in the Baiyangdian basin. Therefore, based on land remote sensing monitoring data from 2000 to 2020, the Eco-environmental Quality Index (EQI) was introduced in this study to measure the eco-environmental effects of land use change in the Baiyangdian basin. Subsequently, the GeoDetector model was applied to detect the formation mechanism of the eco-environmental effects in the Baiyangdian basin from 2000 to 2020. The results of the study showed that cropland, woodland and grassland were the most widely distributed land use types in the Baiyangdian basin. The area of cropland declined the most and was mostly converted to construction land. The EQI increased slightly during the study period. The eco-environment of the mountainous areas in the western part of the basin and in Baiyangdian Lake was better than that of other areas. Land use intensity had a significantly stronger influence on the quality of the eco-environment than other factors. The interaction between the influencing factors was mainly a non-linear enhancement and a two-factor enhancement, with non-linear enhancement dominating.
Due to the combined effects of the natural environment, climate change and human activities, profound changes have occurred in terms of the eco-environmental effects of land use/cover change (LUCC) in the Baiyangdian basin. Therefore, based on land remote sensing monitoring data from 2000 to 2020, the Eco-environmental Quality Index (EQI) was introduced in this study to measure the eco-environmental effects of land use change in the Baiyangdian basin. Subsequently, the GeoDetector model was applied to detect the formation mechanism of the eco-environmental effects in the Baiyangdian basin from 2000 to 2020. The results of the study showed that cropland, woodland and grassland were the most widely distributed land use types in the Baiyangdian basin. The area of cropland declined the most and was mostly converted to construction land. The EQI increased slightly during the study period. The eco-environment of the mountainous areas in the western part of the basin and in Baiyangdian Lake was better than that of other areas. Land use intensity had a significantly stronger influence on the quality of the eco-environment than other factors. The interaction between the influencing factors was mainly a non-linear enhancement and a two-factor enhancement, with non-linear enhancement dominating.
Record ID
Keywords
Baiyangdian basin, eco-environmental quality index, factor detector, GeoDetector, interaction detector, land use/cover change, spatio-temporal pattern
Subject
Suggested Citation
Xia B, Zheng L. Ecological Environmental Effects and Their Driving Factors of Land Use/Cover Change: The Case Study of Baiyangdian Basin, China. (2023). LAPSE:2023.1354v1
Author Affiliations
Xia B: School of Economics, Hebei University, Baoding 071000, China; Research Center for Resource Utilization and Environmental Protection, Hebei University, Baoding 071000, China [ORCID]
Zheng L: School of Economics, Hebei University, Baoding 071000, China; Research Center for Resource Utilization and Environmental Protection, Hebei University, Baoding 071000, China
Zheng L: School of Economics, Hebei University, Baoding 071000, China; Research Center for Resource Utilization and Environmental Protection, Hebei University, Baoding 071000, China
Journal Name
Processes
Volume
10
Issue
12
First Page
2648
Year
2022
Publication Date
2022-12-08
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10122648, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.1354v1
This Record
External Link

https://doi.org/10.3390/pr10122648
Publisher Version
Download
Meta
Record Statistics
Record Views
392
Version History
[v1] (Original Submission)
Feb 21, 2023
Verified by curator on
Feb 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.1354v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.1 seconds)
[0.1 s]
