2022
DOI: 10.3390/w14172602
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Habitat Quality Assessment and Ecological Risks Prediction: An Analysis in the Beijing-Hangzhou Grand Canal (Suzhou Section)

Abstract: With the fast pace of global urbanization, anthropogenic disturbances not only lead to frequent disasters, but also cause direct and indirect ecological and economic losses. To reduce the adverse effects of anthropogenic disturbances as part of sustainable ecosystem management, assessments of habitat quality and ecological risk are necessary. The objectives of this study are to analyze environmental conditions of the Beijing-Hangzhou Grand Canal (Suzhou section) for evaluating habitat quality and habitat degra… Show more

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Cited by 12 publications
(7 citation statements)
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“…Exponential regression D xj is the degree of habitat degradation with a scale of 0-1. The bigger the value, the worse the habitat degradation (Zhang et al, 2019a(Zhang et al, , 2022b. From the above equations,…”
Section: Methods For Evaluating Habitat Qualitymentioning
confidence: 99%
See 1 more Smart Citation
“…Exponential regression D xj is the degree of habitat degradation with a scale of 0-1. The bigger the value, the worse the habitat degradation (Zhang et al, 2019a(Zhang et al, , 2022b. From the above equations,…”
Section: Methods For Evaluating Habitat Qualitymentioning
confidence: 99%
“…The formula for calculating the habitat quality is as follows (Zhang et al, 2019a(Zhang et al, , 2022b:…”
Section: Methods For Evaluating Habitat Qualitymentioning
confidence: 99%
“…III. Emphasize the evaluation of canal habitat quality [41], ecological functions [42], and pollution risks [43] and analyze their impact on ecosystem services [44].…”
Section: Areas Viewpointsmentioning
confidence: 99%
“…Habitat quality and habitat degradation maps were generated using InVEST (3.12.0), a well-established software tool that combines information on land use threats and ecological sensitivity to assess habitat quality and ecosystem service value under different land use scenarios [50]. Its effectiveness has been widely validated worldwide, including in case studies conducted in China [51][52][53][54], Iran [55], Ethiopia [56], Portugal [57] and Nicaragua [58].…”
Section: Construction Of Ecological Resistance Surfacementioning
confidence: 99%