Exploring how ecological and epidemiological processes shape multi-host disease dynamics using global sensitivity analysis

Arachchilage, Kalpana Hanthanan; Hussaini, M. Y.; Cogan, N. G.; Cortez, Michael

doi:10.1007/s00285-023-01912-w

Cited by 2 publications

(1 citation statement)

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“…In addition to selecting the correct evaluation index system, it is also necessary to determine the relative importance of each factor in the entire system, that is, the weight of each indicator. At present, the more common methods are mainly the expert consultation method and the analytical hierarchy process (AHP) [4][5]. This study employed a two-part methodology.…”

Section: Determination Of Weight Of Evaluation Indicatorsmentioning

confidence: 99%

Ecological sensitivity analysis of the Jiulian Mountain scenic area based on multi-source DEM remote sensing data

Chen,

chen,

Wong

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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In order to study the ecological sensitivity of the Jiulian Mountain scenic area and provide a basis for promoting the development and implementation of ecological planning in this region, we assessed the current state of the local environment. This article takes the Jiulian Mountain Scenic Spot in Hui County, Xinxiang City, Henan Province, as the research object and selects altitude, slope, aspect, water body, land use type, and vegetation coverage. 6 Each ecological factor is used as an ecological sensitivity evaluation index, which is divided into four evaluation levels: insensitive, mildly sensitive, moderately sensitive, and highly sensitive. The analytic hierarchy process is used to determine the weight, and the spatial distribution of single-factor and multi-factor ecological sensitivity is analyzed through GIS spatial analysis technology and multi-source DEM remote sensing data. The results show that the overall ecological sensitivity of the Jiulian Mountain scenic area is high. The highly sensitive area accounts for 28.52% of the total area; the medium sensitive area accounts for 26.25% of the total area; the low sensitivity area accounts for 21.51% of the total area, distributed in the northwest of the scenic spot; and the insensitive area accounts for 18.48% of the total area, evenly distributed in scenic spots. Finally, in light of the current conditions in the Jiulian Mountain scenic area, I propose targeted recommendations and strategies for the various sensitive regions. My goal is to advance ecological planning practices and sustainable development across the Jiulian Mountain region.

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Section: Determination Of Weight Of Evaluation Indicatorsmentioning

confidence: 99%