Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin

Exploring the dynamics of land resource distribution within major river basins is pivotal for informing ecological conservation efforts and fostering sustainable development. The Yellow River Basin is a crucial region for human activities and economic development in China. This study meticulously ex...

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Main Authors: Hua Wang, Haolin Xu, Xuefei Hong, Cunjin Wang, Jiqiang Niu, Chaoqin Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2418453
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author Hua Wang
Haolin Xu
Xuefei Hong
Cunjin Wang
Jiqiang Niu
Chaoqin Zhang
author_facet Hua Wang
Haolin Xu
Xuefei Hong
Cunjin Wang
Jiqiang Niu
Chaoqin Zhang
author_sort Hua Wang
collection DOAJ
description Exploring the dynamics of land resource distribution within major river basins is pivotal for informing ecological conservation efforts and fostering sustainable development. The Yellow River Basin is a crucial region for human activities and economic development in China. This study meticulously examines the evolution of land use patterns across the seven principal urban agglomerations within the Yellow River Basin from 1990 to 2020. Employing the Multiscale Geographically Weighted Regression (MGWR) model, the research rigorously scrutinizes the multi-scale spatial heterogeneity of cultivated land dynamics within urban agglomerations during the years 2010 and 2020. The results show pronounced disparities in land utilization among urban agglomerations, with upstream areas predominantly characterized by grass and downstream regions dominated by cultivated land. Noteworthy is the significant expansion of construction land, particularly manifesting dynamic shifts over time. Furthermore, the driving mechanisms exhibit discernible scale variations, with evident spatial heterogeneity in their impact on cultivated land changes.
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institution Kabale University
issn 1010-6049
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language English
publishDate 2024-01-01
publisher Taylor & Francis Group
record_format Article
series Geocarto International
spelling doaj-art-5d3b948532d145a99bee277e25a85b1d2024-12-10T08:23:08ZengTaylor & Francis GroupGeocarto International1010-60491752-07622024-01-0139110.1080/10106049.2024.2418453Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River BasinHua Wang0Haolin Xu1Xuefei Hong2Cunjin Wang3Jiqiang Niu4Chaoqin Zhang5Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, ChinaSchool of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, ChinaKey Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, ChinaKey Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, ChinaKey Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Xinyang, ChinaSchool of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, ChinaExploring the dynamics of land resource distribution within major river basins is pivotal for informing ecological conservation efforts and fostering sustainable development. The Yellow River Basin is a crucial region for human activities and economic development in China. This study meticulously examines the evolution of land use patterns across the seven principal urban agglomerations within the Yellow River Basin from 1990 to 2020. Employing the Multiscale Geographically Weighted Regression (MGWR) model, the research rigorously scrutinizes the multi-scale spatial heterogeneity of cultivated land dynamics within urban agglomerations during the years 2010 and 2020. The results show pronounced disparities in land utilization among urban agglomerations, with upstream areas predominantly characterized by grass and downstream regions dominated by cultivated land. Noteworthy is the significant expansion of construction land, particularly manifesting dynamic shifts over time. Furthermore, the driving mechanisms exhibit discernible scale variations, with evident spatial heterogeneity in their impact on cultivated land changes.https://www.tandfonline.com/doi/10.1080/10106049.2024.2418453Yellow River Basinurban agglomerationland use changeMGWR
spellingShingle Hua Wang
Haolin Xu
Xuefei Hong
Cunjin Wang
Jiqiang Niu
Chaoqin Zhang
Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin
Geocarto International
Yellow River Basin
urban agglomeration
land use change
MGWR
title Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin
title_full Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin
title_fullStr Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin
title_full_unstemmed Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin
title_short Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin
title_sort spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins a case study of urban agglomerations in the yellow river basin
topic Yellow River Basin
urban agglomeration
land use change
MGWR
url https://www.tandfonline.com/doi/10.1080/10106049.2024.2418453
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