2021
DOI: 10.3390/ijerph18168383
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Designing Ecological Security Patterns Based on the Framework of Ecological Quality and Ecological Sensitivity: A Case Study of Jianghan Plain, China

Abstract: Researchers and managers of natural resource conservation have increasingly emphasized the importance of maintaining a connected network of important ecological patches to mitigate landscape fragmentation, reduce the decline of biodiversity, and sustain ecological services. This research aimed to guide landscape management and decision-making by developing an evaluation framework to construct ecological security patterns. Taking the Jianghan Plain as the study area, we identified key ecological sources by over… Show more

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Cited by 36 publications
(25 citation statements)
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“…In previous studies, many scholars have carried out ecological vulnerability [ 38 ] and ecological security assessments [ 39 ], as well as other related studies to provide decision-making guidelines based on ecological protection and restoration by identifying important and key areas of ecological restoration [ 40 ]. The commonly used assessment models for ecosystem vulnerability studies are the pressure-state-response (PSR) [ 41 ] and the exposure-sensitive-adaptive (ESA) models [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…In previous studies, many scholars have carried out ecological vulnerability [ 38 ] and ecological security assessments [ 39 ], as well as other related studies to provide decision-making guidelines based on ecological protection and restoration by identifying important and key areas of ecological restoration [ 40 ]. The commonly used assessment models for ecosystem vulnerability studies are the pressure-state-response (PSR) [ 41 ] and the exposure-sensitive-adaptive (ESA) models [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…Due to the lack of standard parameter settings for InVEST, the relevant parameters used in this study are adjusted based on model manuals, the literature, and expert experience, which is subjective and may lead to findings that differ from those reported [52]. (2) This study calculates habitat quality based on linear threat sources and area threat sources but does not consider the impact of point threat sources such as pollutant emissions [53]. In the future, we should strengthen point-source pollution data and consider the impact of specific human activities on habitat quality, as well as supplement and optimize model parameters to improve model accuracy [54].…”
Section: Limitations and Prospectivementioning
confidence: 99%
“…Research data sources: (1) The protected area data come from the main functional zoning of Guizhou Province, the ecological protection red line of Guizhou Province and the distribution map of the ecological protection red line of Guizhou Province issued by the People's Government of Guizhou Province. (2) The drinking water source data are from the water quality monitoring results of county-level centralized drinking water sources issued by the Department of Ecological Environment of Guizhou Province.…”
Section: Evaluation Factors and Data Sourcesmentioning
confidence: 99%
“…Currently, many studies on ecological sensitivity evaluation have been reported and were mainly focused on the following aspects: (1) ecological sensitivity evaluation of a certain region, such as Jianghan Plain, China [1], Three Gorges Reservoir Area in China [2], Denizli Province, Turkey [3], Pingtan Island (China) and Nile Delta (Egypt) [4], along the Yangtze River in China [5], etc. ; (2) Special research should be conducted on sensitive factors, such as soil erosion [6][7][8], geological disasters [9][10][11][12], cultivated land resources [13][14][15], and water resources [16][17][18]; (3) Spatial planning or spatial pattern optimization based on ecological sensitivity analysis, such as the optimization of spatial patterns of resource-based cities [19], optimization of land use spatial patterns [20], urban development boundary planning [21], landscape spatial planning [22], etc.…”
Section: Introductionmentioning
confidence: 99%