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      KCI등재 SCI SCIE SCOPUS

      Effects of the Prey Refuge Distribution on a Predator-Prey System

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      https://www.riss.kr/link?id=A103562635

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      The existence of prey refuges in a predator-prey system is known to be strongly related to the ecosystem’s stability. In this study, we explored how the prey refuge distribution affects the predator-prey system. To do so, we constructed a spatial lattice model to simulate an integrative predator (wolf) - prey (rabbit) - plant (grass) relationship. When a wolf (rabbit) encountered a rabbit (grass), the wolf (rabbit) tended to move to the rabbit (grass) for foraging while the rabbit tended to escape from the wolf. These behaviors were mathematically described by the degrees of willingness for hunting (H) and escaping (E). Initially, n refuges for prey were heterogeneously distributed in the lattice space. The heterogeneity was characterized as variable A. Higher values of A equate to higher aggregation in the refuge. We investigated the mean population density for different values of H, E, and A. To simply characterize the refuge distribution effect, we built an H-E grid map containing the population density for each species. Then, we counted the number of grids, N, with a population density 0.25. Simulation results showed that an appropriate value of A positively affected prey survival while values of A were too high had a negative effect on prey survival. The results were explained by using the trade-off between the staying time of the prey in the refuge and the cluster size of the refuge.
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      The existence of prey refuges in a predator-prey system is known to be strongly related to the ecosystem’s stability. In this study, we explored how the prey refuge distribution affects the predator-prey system. To do so, we constructed a spatial la...

      The existence of prey refuges in a predator-prey system is known to be strongly related to the ecosystem’s stability. In this study, we explored how the prey refuge distribution affects the predator-prey system. To do so, we constructed a spatial lattice model to simulate an integrative predator (wolf) - prey (rabbit) - plant (grass) relationship. When a wolf (rabbit) encountered a rabbit (grass), the wolf (rabbit) tended to move to the rabbit (grass) for foraging while the rabbit tended to escape from the wolf. These behaviors were mathematically described by the degrees of willingness for hunting (H) and escaping (E). Initially, n refuges for prey were heterogeneously distributed in the lattice space. The heterogeneity was characterized as variable A. Higher values of A equate to higher aggregation in the refuge. We investigated the mean population density for different values of H, E, and A. To simply characterize the refuge distribution effect, we built an H-E grid map containing the population density for each species. Then, we counted the number of grids, N, with a population density 0.25. Simulation results showed that an appropriate value of A positively affected prey survival while values of A were too high had a negative effect on prey survival. The results were explained by using the trade-off between the staying time of the prey in the refuge and the cluster size of the refuge.

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      참고문헌 (Reference)

      1 C. Holling, 6 : 163-, 1961

      2 A. K. Fuller, 91 : 1269-, 2010

      3 A. J. Lotka, 42 : 1595-, 1920

      4 V. Volterra, 214 : 31-, 1931

      5 C. S. Holling, 91 : 385-, 1959

      6 C. S. Holling, 45 : 1-, 1965

      7 J. Martin, 10 : 487-, 1999

      8 J. J. Meyer, 8 : 160-, 2005

      9 A. Sih, 31 : 1-, 1987

      10 S. J. Holbrook, 83 : 2855-, 2002

      1 C. Holling, 6 : 163-, 1961

      2 A. K. Fuller, 91 : 1269-, 2010

      3 A. J. Lotka, 42 : 1595-, 1920

      4 V. Volterra, 214 : 31-, 1931

      5 C. S. Holling, 91 : 385-, 1959

      6 C. S. Holling, 45 : 1-, 1965

      7 J. Martin, 10 : 487-, 1999

      8 J. J. Meyer, 8 : 160-, 2005

      9 A. Sih, 31 : 1-, 1987

      10 S. J. Holbrook, 83 : 2855-, 2002

      11 B. Mnaya, 14 : 359-, 2006

      12 M. Venzon, 60 : 369-, 2000

      13 A. Ramanantoanina, 222 : 3524-, 2011

      14 A. J. Loveridge, 270 : 523-, 2006

      15 M. E. Hochberg, 9 : 633-, 1995

      16 Z. H. Ma, 218 : 73-, 2009

      17 X. N. Guan, 12 : 2385-, 2011

      18 J. N. McNair, 29 : 38-, 1986

      19 M. W. Sabelis, 34 : 169-, 1988

      20 S. P. Ellner, 412 : 538-, 2001

      21 S. H. Lee, 389 : 259-, 2010

      22 W. G. Wilson, 43 : 91-, 1993

      23 A. Pekalski, 6 : 62-, 2004

      24 Y. Tao, 11 : 2056-, 2010

      25 U. Wilensky, "NetLogo"

      26 M. Edmunds, "Defence in Animals: A Survey of Antipredator Defences" Longman 1974

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      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 SCI 등재 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.47 0.15 0.31
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.26 0.2 0.26 0.03
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