2020
DOI: 10.13041/jpvm.2020.44.2.89
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Species distribution modeling for wild boar (Sus scropa) in the Republic of Korea using MODIS data

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Cited by 7 publications
(6 citation statements)
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“…This approach has been adopted in multiple studies for the estimation of WB population in a given area (Fernández et al., 2006; Jordt et al., 2016; Lange & Thulke, 2017). Also, the estimated WB distribution is in line with the previous findings that WB habitat in South Korea is mainly on mountain forest areas (Choi et al., 2006; Kim & Pak, 2020). However, a previous study has demonstrated that the landscapes with different WB population density affect the estimated values of ASF transmission parameters (Pepin et al., 2020).…”
Section: Discussionsupporting
confidence: 90%
“…This approach has been adopted in multiple studies for the estimation of WB population in a given area (Fernández et al., 2006; Jordt et al., 2016; Lange & Thulke, 2017). Also, the estimated WB distribution is in line with the previous findings that WB habitat in South Korea is mainly on mountain forest areas (Choi et al., 2006; Kim & Pak, 2020). However, a previous study has demonstrated that the landscapes with different WB population density affect the estimated values of ASF transmission parameters (Pepin et al., 2020).…”
Section: Discussionsupporting
confidence: 90%
“…ASF in wild boar have been spread into the mountain ranges, whose environment is more suitable to wild boars ( Fig. 2 ) [ 24 ]; thus, the higher density of wild boars results in increased contact rate between the animals (density-dependent contact rate in wild boars [ 32 ]), thereby resulting in the increased R 0 ( Fig. 5 ).…”
Section: Discussionmentioning
confidence: 99%
“…To identify the association between the basic reproduction number and environmental conditions of each cluster, we applied the habitat suitability of wild boar, extracted from the species distribution model (SDM) of wild boar developed by Kim and Pak [ 24 ]. SDM shows the quantitative continuous index for the environment suitability for wild boar on the base of environmental variables.…”
Section: Methodsmentioning
confidence: 99%
“…Te QAH proposed by Bosch et al is a tool that quantifes and evaluates the optimal habitat for wild boars on seven levels (0, 0.1, 0.5, 1, 1.5, 1.75, and 2) [29]. NDVI is the index measuring the quantity, quality, and development of vegetation and, thus, frequently used as one of the predictors for the species distribution model [30,31]. In this study, the NDVI for each sensor camera location during the study period was downloaded from the database [32].…”
Section: Response and Explanatorymentioning
confidence: 99%