3.8 Review

Review of CLIMEX and MaxEnt for studying species distribution in South Korea

Journal

JOURNAL OF ASIA-PACIFIC BIODIVERSITY
Volume 11, Issue 3, Pages 325-333

Publisher

NATL SCIENCE MUSEUM & KOREAN NATL ARBORETUM
DOI: 10.1016/j.japb.2018.06.002

Keywords

Climate change; CLIMEX; MaxEnt; Potential distribution; Species distribution modeling

Funding

  1. R&D Program for Forest Science Technology by Korea Forest Service (Korea Forestry Promotion Institute) [FTIS 2017042A00-1823-CA01]
  2. Cooperative Research Program for Agricultural Science & technology Development, Rural Development Administration, Republic of Korea [PJ0134642018]
  3. Korea Forestry Promotion Institute (KOFPI) [2017042B10-1823-CA01] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  4. Rural Development Administration (RDA), Republic of Korea [PJ013464012018] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The use of species distribution modeling to predict the possible extent of suitable habitat for significant pests has been accepted as an efficient method for determining effective management and countermeasures. CLIMEX and MaxEnt are widely used software for creating species distribution models. CLIMEX predicts climatic suitability of a specific region for target species, whereas MaxEnt uses various environmental variables with presence-only data to assess potential distribution. The software has so far mainly been used for assessing large countries and continents but scarcely used to assess relatively small areas such as South Korea. The objective of this study was to review previous CLIMEX- and MaxEnt-based studies in South Korea and their effectiveness in predicting the distribution of species that could cause nation-wide damage. We expect that, by reviewing recently used species distribution models and their results, this study will provide the basic information necessary to predict potential species distribution. (C) 2018 National Science Museum of Korea (NSMK) and Korea National Arboretum (KNA), Publishing Services by Elsevier.

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