The evolution of ecological security pattern based on the profit and loss analysis of ecosystem services: taking Wafangdian County as a case

Zenglin, 韩增林 Han; Wenzhen, 赵文祯 Zhao; Yan, Xiaolu; Jingqiu, 钟敬秋 Zhong; Qiqi, 孟琦琦 Meng

doi:10.5846/stxb201809071916

Cited by 3 publications

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“…Rapid economic and social development as well as urbanization and industrialization have triggered the continuous spatial reconstruction of land use in the region north of the Tianshan Mountains in Xinjiang, China. The structure and function of natural ecosystems have also changed in this area, threatening the regional ecological security and sustainability of ecosystem services (Han et al, 2019). In general, when cities grow and expand, problems such as crowding out of cultivated land and rapid urbanization typically follow (Yu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China

Wang,

et al. 2023

Front. Ecol. Evol.

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Northern Xinjiang is the center of gravity for Xinjiang's economic development, and "production-living-ecological space" (PLES) is of great significance to the optimization of regional territorial spatial structure. Taking northern Xinjiang as our study area, we analyze the spatial and temporal variations of the ecological and environmental effects of PLES evolution from 2000 to 2020. To do so, we apply the grid cell method, the ecological and environmental quality index, the global autocorrelation model, and the kernel density estimation. Additionally, we use a geographic detector model to reveal the drivers of spatial variation in ecological and environmental quality. Results show that from 2000 to 2020, PLES in the study area is mainly ecological accommodation land. However, there is an obvious trend showing a decrease in ecological accommodation land area and an increase in other land types. Production land and living land increased the most, among which agricultural land and industrial land were mainly converted from grassland ecological land and water ecological land, respectively. The quality of the ecological environment is basically stable during the study period, with an overall slight declining trend, which indicates the quality of ecological environment has decreased slightly. The spatial distribution of the eco-environmental effect shows a significant spatial autocorrelation pattern of "dense in the west and sparse in the east", along with a spatial clustering phenomenon. The main factor of spatial variation in ecological quality is elevation, and the interactions between the factors are mainly non-linearly and double-factor enhanced. The spatial differentiation of ecological environmental quality in the study area is the result of multiple factors. Exploring the ecological and environmental effects of PLES evolution and its driving factors can provide a scientific basis for the implementation of territorial spatial planning and ecological environmental protection in northern Xinjiang.

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Section: Introductionmentioning

confidence: 99%

Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China

Wang,

et al. 2023

Front. Ecol. Evol.

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Research on the Evolution Path of Big Data Service Ecosystem based on Data Mining

Hou¹

2022

2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)

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The construction of an ecological security pattern based on the comprehensive evaluation of the importance of ecosystem service and ecological sensitivity: a case of Yangxin County, Hubei Province

Zhang

et al. 2023

Front. Environ. Sci.

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An ecological safety pattern is the basic guarantee for pollution control, ecological environmental protection, economic construction, and sustainable social development, and is an important means of integrated and coordinated development, protection, and governance. This study proposes a research method to identify ecological source sites based on the evaluation of the importance of ecosystem services and ecological sensitivity, and to identify ecological corridors using the minimum cumulative resistance model. The empirical analysis was carried out in Yangxin County, Hubei Province, as an example. The results show that the study area has 16 key corridors and 29 potential corridors, a total of 45 ecological corridors, with a total length of 452 km. In addition, these ecological corridors present a network-like intertwined distribution, connecting various ecological source sites and ensuring the connectivity between ecological source sites, while the well-developed water source sites in the study area provide excellent ecosystem service functions such as water containment for the area.

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The evolution of ecological security pattern based on the profit and loss analysis of ecosystem services: taking Wafangdian County as a case

Cited by 3 publications

References 0 publications

Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China

Eco-environmental effect and driving factors of changing “production-living-ecological space” in northern Xinjiang, China

Research on the Evolution Path of Big Data Service Ecosystem based on Data Mining

The construction of an ecological security pattern based on the comprehensive evaluation of the importance of ecosystem service and ecological sensitivity: a case of Yangxin County, Hubei Province

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