Estimating urban suitable ecological land based on the minimum cumulative resistance model: A case study in Nanjing, China

Ye, Y P; Wang, S N

doi:10.1088/1755-1315/344/1/012059

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…The resistance for ecological flow between different landscape units is mainly affected by landscape types, natural and human disturbances and landscape connectivity. With consideration of the present situation and data availability of the three states of Sichuan Province, three dimensions were used to measure ecological resistance: topography and hydrology, the ecological environment and exploitation intensity [45][46][47][48]. Indicators of resistance factors were selected for each dimension in such a way that each indicator was required to have a minimal correlation with other indicators that represented the significance of their different impacts.…”

Section: Construction Of An Ecological Resistance Surfacementioning

confidence: 99%

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Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Guo

Deng²,

Ran

et al. 2022

IJERPH

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With ongoing economic and social development, natural habitats are becoming increasingly fragmented, blocking habitat connections and reducing landscape connectivity. The study of changes in ecological connectivity can provide valuable information for habitat and landscape restoration, which are necessary for sustainable regional development. Despite the growing interest in this issue, studies that reveal the change in ecological connectivity in the compounded areas of ecological vulnerability and deep poverty are still lacking. In this paper, one of the most underdeveloped and ecologically fragile southwestern ethnic regions of China, the Sanzhou region of Sichuan Province, was the study area. Based on a vector map of current land-use status and vector data on ecosystem factors and nature reserves in 2010 and 2015, the change in ecological connectivity was analyzed using the minimum cumulative resistance model using GIS spatial analysis method. Firstly, ecological sources were identified based on the distribution of ecological functional areas. Secondly, the ecological resistance surface based on ecosystem service value is revised by integrating the three dimensions of topography and hydrology, ecological environment and development, and utilization intensity. Finally, the ecological connectivity of ethnic areas in southwest China in 2010 and 2015 was compared and analyzed through the perspective of ecological resistance. The results show that: (1) From 2010 to 2015, the overall ecological connectivity decreased. (2) There were six areas of high ecological resistance featuring human activity and ecological degradation: the Anning River Valley in Liangshan Prefecture, Ganzi, Dege and Luho counties in Ganzi Prefecture, and Ruoergai and Hongyuan counties in Aba Prefecture. (3) Low ecological resistance areas were more numerous and widely distributed, forming an ecological protection barrier for the three autonomous prefectures, and regulating and protecting their natural environments. It is necessary to maintain and strengthen this protection; accordingly, measures are proposed to improve ecological connectivity. This study provides a reference for achieving ecological security and harmonious coexistence between humans and nature in this region.

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Section: Construction Of An Ecological Resistance Surfacementioning

confidence: 99%

“…Then, the minimum cumulative resistance surface of ecological source land in the three states was obtained. The minimum cumulative resistance model is expressed as follows [45,47]:…”

Section: Ecological Resistance Surface Calculationmentioning

confidence: 99%

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Guo

Deng²,

Ran

et al. 2022

IJERPH

View full text Add to dashboard Cite

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“…After predicting species-suitable areas, ecological corridors are good at connecting fragmented and isolated habitats [ 28 , 29 ]. The most commonly employed approach for studying migratory ecological corridors in species is integrating the minimum cumulative resistance (MCR) model with Geographic Information Systems (GISs) [ 30 , 31 ]. Notably, both the MaxEnt model and MCR model have been successfully utilized in conserving numerous endangered animal species [ 32 , 33 ], yielding significant outcomes.…”

Section: Introductionmentioning

confidence: 99%

Distribution Pattern of Suitable Areas and Corridor Identification of Endangered Ephedra Species in China

Zhang,

Li,

Zou

et al. 2024

Plants

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The suitable habitat of endangered Ephedra species has been severely threatened and affected by climate change and anthropogenic activities; however, their migration trends and restoration strategies are still relatively understudied. In this study, we utilized the MaxEnt model to simulate the suitable habitats of five endangered Ephedra species in China under current and future climate scenarios. Additionally, we identified significant ecological corridors by incorporating the minimum cumulative resistance (MCR) model. Under the current climate scenario, the suitable area of Ephedra equisetina Bunge, Ephedra intermedia Schrenk ex Mey, Ephedra sinica Stapf, and Ephedra monosperma Gmel ex Mey comprised 16% of the area in China, while Ephedra rhytidosperma Pachom comprised only 0.05%. The distribution patterns of these five Ephedra species were primarily influenced by altitude, salinity, temperature, and precipitation. Under future climate scenarios, the suitable areas of E. equisetina, E. intermedia, and E. sinica are projected to expand, while that of E. monosperma is expected to contract. Notably, E. rhytidosperma will lose its suitable area in the future. Our identified ecological corridors showed that the first-level corridors encompassed a wider geographical expanse, incorporating E. equisetina, E. intermedia, E. sinica, and E. monosperma, while that of E. rhytidosperma exhibited a shorter length and covered fewer geographical areas. Overall, our study provides novel insights into identifying priority protected areas and protection strategies targeting endangered Ephedra species.

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Recreational Green Space Service in the Guangdong–Hong Kong–Macau Greater Bay Area: A Multiple Travel Modes Perspective

Weng

Wang

et al. 2022

Land

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Recreational green space (RGS) offers the most intuitive place for urban residents to get in touch with nature. The service radiation of RGS is related to the travel mode, however, residents’ travel behavior has long been ignored in the study of RGS services. This paper considers the Guangdong–Hong Kong–Macau Greater Bay Area (GBA), uses multi-source data, refines the spatial distribution of residents, extracts and classifies the RGS into three categories (township (TRGS), country (CRGS), and urban (URGS)), and analyzes the spatial distribution of the three types of RGS. Using the travel isochrone, the RGS services coverage (including spatial and population coverage) in 11 cities within the GBA is defined by multiple travel modes. Finally, a comprehensive evaluation of the RGS services in the GBA is conducted based on the residents’ transportation choice willingness and recreational selection. The results showed that: (1) TRGSs are mainly distributed in the suburbs, URGSs are mainly concentrated in the mid-western and southern regions, and CRGSs are mostly concentrated in the center of the GBA. (2) For daily travel (15-min and 30-min travel modes), the coverage of the RGS services is unevenly distributed, while under the 60-min travel mode, the RGS services can almost fully cover the residents in the GBA (SPURGS > 99%). (3) The RGS service of the central cities (Hong Kong, Macau) is better than that of the edge cities (Zhaoqing, Jiangmen), and the different city types should adopt different RGS planning and management strategies. This study provides a reference for RGS refined planning and maintenance in mega-urban agglomerations.

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Estimating urban suitable ecological land based on the minimum cumulative resistance model: A case study in Nanjing, China

Cited by 3 publications

References 23 publications

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Distribution Pattern of Suitable Areas and Corridor Identification of Endangered Ephedra Species in China

Recreational Green Space Service in the Guangdong–Hong Kong–Macau Greater Bay Area: A Multiple Travel Modes Perspective

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