Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns

Author:

Zhang Huaidan123,Nie Ke14,Wu Xueling2ORCID

Affiliation:

1. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China

2. School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China

3. Social Application Node, Hubei, Natural Resources Satellite Application Technology Center, Wuhan 430050, China

4. Shenzhen Data Management Center of Planning and Natural Resources (Shenzhen Geospatial Information Center), Shenzhen 518040, China

Abstract

With rapid urbanization, environmental problems such as soil erosion and resource shortages have emerged. Ecological environmental quality is decreasing, and ecological security issues are becoming increasingly prominent; thus, relevant research is particularly urgent. The ecological security issue is complex due to many influencing factors. The transformation of landscape type is the most important factor affecting ecological security. Therefore, there is an urgent need to optimize and screen for the indicator factors that affect ecological security, carry out a dynamic evaluation of ecological security based on landscape pattern analysis, and analyze the driving forces behind ecological security changes. Song County is located in the ecological core area of the Funiu Mountains in western Henan, with complex topography and geomorphology; large changes in landscape patterns in recent years; frequent geological disasters, which have posed a greater threat to people’s life and property safety; and significant ecological security problems. This paper takes Song County as the research area, using the decision tree model to obtain the land use classification results of four periods in Song County in 2005, 2010, 2015, and 2020 based on remote sensing images. Landscape pattern analysis is conducted from two aspects: patch level and landscape level. On this basis, ecological security evaluation indicators are constructed from three levels: pressure, state, and response, and the comprehensive index model is used to obtain the results of four ecological security evaluations. Exploratory spatial data analysis (ESDA) is used to conduct research and prediction on spatiotemporal differentiation. Finally, the spatial heterogeneity relationship between the ecological security level and its driving factors in Song County is quantitatively analyzed using a geographic detector model. The results clearly show that the overall landscape form gradually tends to develop in the direction of complex irregularity. Due to frequent geological disasters and strong human engineering activities near the core areas of the Luhun Reservoir and Yi River basin, as well as Baihejie Village in Baihe Township and Che Village in Muzhijie Township, the landscape pattern is changing considerably. The self-restoration ability of the land’s ecosystem is gradually weakening, and the degree of ecological damage is gradually accelerating. The ecological security level is unsafe, the area of unsafe security is gradually increasing, and the ecological security index (ESI) will continue to decrease in the future. To improve ecological security, we recommend paying attention to land conservation and rational utilization while pursuing economic development.

Funder

National Natural Science Foundation of China

Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources

Publisher

MDPI AG

Reference40 articles.

1. Construction of an ecological security pattern based on ecosystem sensitivity and the importance of ecological services: A case study of the Guanzhong Plain urban agglomeration, China;Chen;Ecol. Indic.,2022

2. Identifying ecological security patterns based on the supply, demand, and sensitivity of ecosystem service: A case study in the Yellow River Basin. China;Zhang;J. Environ. Manag.,2022

3. Optimization of ecological security patterns considering both natural and social disturbances in China’s largest urban agglomeration;Li;Ecol. Eng.,2022

4. Spatiotemporal differentiation and geographic detection mechanism of ecological security in Chongqing, China;Liu;Glob. Ecol. Conserv.,2022

5. Quantifying impacts of climate and human activities on the grassland in the Three-River Headwater Region after two phases of Ecological Project;Ning;Geogr. Sustain.,2022

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