The Estimation Modelling of Damaged Areas by Harmful Animals
Abstract
The Republic of Korea has undergone rapid development and urban development without sufficient consideration of the environment. This type of growth is accompanied by a reduction in forest area and wildlife habitat. It is a phenomenon that affects the habitat of large mammals more than small. Especially in Korea, the damage caused by wild boar(Sus scrofa) is harsher than other large mammalian species like water deer(Hydropotes inermis), which also means that the number of these reported cases of this species is higher than ones of other mammals. Wild boar has three to eight cubs per year and it is possible to breed every year, which makes it more populous comparing with the fragmented habitats. It could be regarded as one of the top predators in Korea, which it is inevitable for humans to intervene this creature in population control. In addition, some individuals have been forced to be retreated from other habitats in major habitats, or to invade human activity areas for food activity, thereby destroying crops. Ultimately, this mammal species has been treated as farm pest animals through committing road kills and urban emergences. In this study, we has estimated possible farm pest animal present points from the damage district using 2,505 hazardous wildlife damage areas with four types of geological informations, four kinds of forest information, land cover, and distribution of farmland occurred in Gyeongnam province in Korea. In the estimating model, utilizing MAXENT, information of background point was set to 10,000, 70% of the damaged sites were used to construct the model, 30% was used for verification, and 10 times of crossvalidate were proceeded - verified by AUC of ROC. As a result of analyses, AUC was 0.847, and the percent contribution of the forest information was the distance toward inner-forest areas, 36.1%, the land cover, 16.5%, the distance from the field, 14.9%. Furthermore, the permutation importance was 24.9% of the cover, 12.3% of the height, and 11.9% of the slope. The results indicate that the areas with high damage predictions were highly cultivated in valleys adjacent to the forests. This can be interpreted as a result of reflecting the characteristics of feeding on the farmland where the wild boar, which has forests as its main habitat, can access relatively easily and obtain good quality food.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFM.B51B1803J
- Keywords:
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- 0414 Biogeochemical cycles;
- processes;
- and modeling;
- BIOGEOSCIENCES;
- 0430 Computational methods and data processing;
- BIOGEOSCIENCES;
- 0439 Ecosystems;
- structure and dynamics;
- BIOGEOSCIENCES;
- 1910 Data assimilation;
- integration and fusion;
- INFORMATICS