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Analyzing Priority Management Areas for Domestic Cats (Felis catus) Using Predictions of Distribution Density and Potential Habitat

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2023, 32(6), pp.545-555
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering
  • Received : November 6, 2023
  • Accepted : November 27, 2023
  • Published : December 28, 2023

Ahmee Jeong 1 Lee, Sang-Don ORD ID 2

1이화여자대학교 환경공학과
2이화여자대학교

Accredited

ABSTRACT

This study aimed to predict the distribution density and potential habitat of domestic cats (Felis catus) in order to identify core distribution areas. It also aimed to overlay protected areas to identify priority areas for cat management. Kernel density estimation was used to determine the distribution density, and areas with high density were classified in Greater Seoul, Chungnam, Daejeon, and Daegu. Elevation, distance from the used area and roughness were identified as important variables in predicting potential habitat using the MaxEnt model. In addition, the classification of suitable and unsuitable areas based on thresholds showed that the predicted presence of habitat was more extensive in Seoul, Sejong, Daejeon, Chungnam, and Daegu. Core distribution areas were selected by overlapping high-density areas with suitable areas. Priority management areas were identified by overlaying core distribution areas with designated wildlife sanctuaries. As a result, Gyeonggi, and Chungnam have the largest areas. In addition, buffer zones will be implemented to effectively manage the core distribution area and minimize the potential for additional introductions in areas of high management priority, such as protected areas. These results can be used as a basis for investigating the status of the cat’s habitat and developing more effective management strategies.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.