Author
Listed:
- Shijie Gu
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China
Contribute equally to the paper on behalf of the author.)
- Shuhuan Li
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China
Contribute equally to the paper on behalf of the author.)
- Shuai Wu
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China)
- Bing Tian
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China)
- Yincui Hu
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China)
- Minmin Cui
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China)
- Mingze Sun
(Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection/Hebei Key Laboratory of Environmental Change and Ecological Construction/Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China)
Abstract
Research on the establishment of a regional ecological network can provide a scientific basis and valuable guidance for the protection of regional animals and plants, water conservation, sustainable resource utilization, and optimization of land use patterns. This study investigated the impacts of land use changes on the ecological security pattern using morphological spatial pattern analysis (MSPA), the minimum cumulative resistance (MCR) model, and the analysis of spatiotemporal changes and fragmentation of land use types. The results indicate that from 2000 to 2020, the dominant trend in land use types was the expansion of cultivated land, grass land, and wood land. Although the proportion of cultivated land was the largest and was concentrated in the southern part of Hebei Province, the total area of cultivated land showed a decline. Landscape index calculations revealed an increase in fragmentation of the overall landscape ecological patches, while the spatial and quantitative distribution of landscape types gradually became more uniform. Furthermore, 52 patches with the highest landscape index were identified as ecological sources, mainly located in northern Hebei Province in 2020. MSPA calculations showed that elevation, slope, and land use type contributed significantly to the comprehensive resistance surface. Using the MCR model, an ecological network for Hebei Province was constructed, consisting of 114 ecological corridors and 28 ecological nodes. The ecological corridors exhibited a distribution pattern of high density in the north and low density in the south, while the ecological nodes enhanced overall ecological connectivity in the region. Based on the current ecological environment, it is recommended to increase the number of ecological corridors and ecological nodes to enhance ecosystem stability.
Suggested Citation
Shijie Gu & Shuhuan Li & Shuai Wu & Bing Tian & Yincui Hu & Minmin Cui & Mingze Sun, 2023.
"Study on the Spatiotemporal Evolution of the Ecological Landscape and Construction of an Ecological Network: A Case Study of Hebei Province,"
Sustainability, MDPI, vol. 15(21), pages 1-16, November.
Handle:
RePEc:gam:jsusta:v:15:y:2023:i:21:p:15661-:d:1274891
Download full text from publisher
References listed on IDEAS
- Fengjie Gao & Wei Yang & Si Zhang & Xiaohui Xin & Jun Zhou & Guoming Du, 2023.
"An Integrated Approach to Constructing Ecological Security Pattern in an Urbanization and Agricultural Intensification Area in Northeast China,"
Land, MDPI, vol. 12(2), pages 1-22, January.
- Yuanming Xie & Zemeng Ma & Mingjie Fang & Weiguo Liu & Feiyan Yu & Jiajing Tian & Shuoxin Zhang & Yan Yan, 2023.
"Analysis of Net Primary Productivity of Retired Farmlands in the Grain-for-Green Project in China from 2011 to 2020,"
Land, MDPI, vol. 12(5), pages 1-16, May.
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