Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula

Largemouth bass (Micropterus salmoides) is one of the world’s most notorious fish species, rapidly invaded in the aquatic ecosystems because of high fecundity and recruitment rate across the world, including South Korea, and is a major threat to native fish biodiversity and ecosystems. Knowledge abo...

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Main Authors: Md. Mamun, Sehyun Kim, Kwang-Guk An
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Journal of Asia-Pacific Biodiversity
Online Access:http://www.sciencedirect.com/science/article/pii/S2287884X18302991
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author Md. Mamun
Sehyun Kim
Kwang-Guk An
author_facet Md. Mamun
Sehyun Kim
Kwang-Guk An
author_sort Md. Mamun
collection DOAJ
description Largemouth bass (Micropterus salmoides) is one of the world’s most notorious fish species, rapidly invaded in the aquatic ecosystems because of high fecundity and recruitment rate across the world, including South Korea, and is a major threat to native fish biodiversity and ecosystems. Knowledge about invasion range of largemouth bass has immense importance for conservation and management of native fish species. This study was conducted to predict a potential spatial spread in the future for the national-level risk assessments and successful management of largemouth bass in Korea. Using the MaxEnt (Maximum Entropy) model, 1109 streams and rivers of largemouth bass along with 24 climatic environmental variables of Korea were used to predict the future spatial distribution patterns and habitat suitability area. The precision of the MaxEnt model was highly significant, with an area under the curve value of 0.854 and 0.829 in 2050 and 2100, respectively. Overall, our study suggested that the output of MaxEnt model is useful for understanding how climatic variables affect the distribution range of invasive alien fish species and generating a map of potential risk. Keywords: Geographical distribution, Invasive alien species, Largemouth bass, Maximum entropy model, South Korea
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spelling doaj.art-9eea9152b8934fd5b8829c4bb8965beb2022-12-21T21:26:52ZengElsevierJournal of Asia-Pacific Biodiversity2287-884X2018-12-01114516524Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsulaMd. Mamun0Sehyun Kim1Kwang-Guk An2Department of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, South KoreaDepartment of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, South KoreaCorresponding author. Tel.: +82 010 6404 9844; fax: +82 42 882 9690.; Department of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, South KoreaLargemouth bass (Micropterus salmoides) is one of the world’s most notorious fish species, rapidly invaded in the aquatic ecosystems because of high fecundity and recruitment rate across the world, including South Korea, and is a major threat to native fish biodiversity and ecosystems. Knowledge about invasion range of largemouth bass has immense importance for conservation and management of native fish species. This study was conducted to predict a potential spatial spread in the future for the national-level risk assessments and successful management of largemouth bass in Korea. Using the MaxEnt (Maximum Entropy) model, 1109 streams and rivers of largemouth bass along with 24 climatic environmental variables of Korea were used to predict the future spatial distribution patterns and habitat suitability area. The precision of the MaxEnt model was highly significant, with an area under the curve value of 0.854 and 0.829 in 2050 and 2100, respectively. Overall, our study suggested that the output of MaxEnt model is useful for understanding how climatic variables affect the distribution range of invasive alien fish species and generating a map of potential risk. Keywords: Geographical distribution, Invasive alien species, Largemouth bass, Maximum entropy model, South Koreahttp://www.sciencedirect.com/science/article/pii/S2287884X18302991
spellingShingle Md. Mamun
Sehyun Kim
Kwang-Guk An
Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula
Journal of Asia-Pacific Biodiversity
title Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula
title_full Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula
title_fullStr Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula
title_full_unstemmed Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula
title_short Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula
title_sort distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model maxent in the korean peninsula
url http://www.sciencedirect.com/science/article/pii/S2287884X18302991
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