2022
DOI: 10.1007/s11356-022-21511-4
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Ecological security assessment and ecological pattern optimization for Lhasa city (Tibet) based on the minimum cumulative resistance model

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Cited by 21 publications
(6 citation statements)
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“…Population density [59] <300 p/km 2 300-500 p/km 2 500-100 p/km 2 >1000 p/km 2 Distance from settlement [58] >800 m 400-800 m 100-400 m <100 m Distance from road [23] >800 m 400-800 m 200-400 m <200 m Distance from water [60] <100 m 100-400 m 400-800 m ≥800 m…”
Section: Ecological Stress Factormentioning
confidence: 99%
“…Population density [59] <300 p/km 2 300-500 p/km 2 500-100 p/km 2 >1000 p/km 2 Distance from settlement [58] >800 m 400-800 m 100-400 m <100 m Distance from road [23] >800 m 400-800 m 200-400 m <200 m Distance from water [60] <100 m 100-400 m 400-800 m ≥800 m…”
Section: Ecological Stress Factormentioning
confidence: 99%
“…It was first applied to establish ecological security patterns for biodiversity conservation [17,18]. As the minimum cumulative resistance (MCR) model is being employed by a growing number of researchers, the method has been gradually applied for urban land use analysis [19,20], ecological pattern analysis [21], and corridor suitability analysis [22][23][24]. The model can calculate the least costly path based on the spatial unit resistance index, which takes full consideration of the geographical and behavioral characteristics with advanced operability and feasibility [25].…”
Section: Introductionmentioning
confidence: 99%
“…However, due to the complexity of urban sustainability and the wide range of aspects it encompasses, researchers have conducted their analysis and exploration from various different perspectives. These include ecological security [2][3][4], ecological footprint [5,6], urban symbiosis [7], ecological civilization construction [8], ecological network [9], environmental quality [10], ecological smart city [11,12], ecological livability assessment [13], emergy analysis [14], ecological literacy [15], ecological pattern [16], ecological risks [17], and more. These analytical perspectives provide theoretical support for the design and development of sustainable cities, offering various insights for urban managers and designers.…”
Section: Introductionmentioning
confidence: 99%