Global prediction of geographical change of yellow crazy ant (Anoplolepis gracilipes) distribution in response to climate change scenario

Jae Min Jung, Dae Hyeon Byeon, Sung Hoon Jung, Yong Man Yu, Chisa Yasunaga-Aoki, Wang Hee Lee

Research output: Contribution to journalArticle

Abstract

Yellow crazy ant (Anoplolepis gracilipes) is a notorious insect which has destroyed local ecosystems when invaded. According to changes in habitats of alien species caused by the recent climate change, the risk of introducing yellow crazy ant into new area has been increase. This study aimed to predict and compare future global distribution of yellow crazy ant simulated based on different climate change scenarios by using CLIMEX The simulation showed that Central Africa, South America, Oceania, and Southeast Asia might be exposed to the threat of invasion under the current climate. In addition, the type of climate scenarios resulted in quantitatively different climatic suitability, while qualitative patterns of predicted distribution were similar. In conclusion, this study illustrated the use of niche model provided by CLIMEX for predicting global yellow crazy ant distribution changing by climatic condition, suggesting its future application on risk assessment of invasive species and on analyzing climate change scenario.

Original languageEnglish
Pages (from-to)403-410
Number of pages8
JournalJournal of the Faculty of Agriculture, Kyushu University
Volume62
Issue number2
Publication statusPublished - Sep 1 2017

Fingerprint

Anoplolepis gracilipes
Ants
Climate Change
climate change
prediction
Climate
Ecosystem
Oceania
Central Africa
Introduced Species
Southeastern Asia
South America
climate
Pacific Ocean Islands
Insects
South East Asia
invasive species
risk assessment
niches
insects

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Agronomy and Crop Science

Cite this

Global prediction of geographical change of yellow crazy ant (Anoplolepis gracilipes) distribution in response to climate change scenario. / Jung, Jae Min; Byeon, Dae Hyeon; Jung, Sung Hoon; Yu, Yong Man; Yasunaga-Aoki, Chisa; Lee, Wang Hee.

In: Journal of the Faculty of Agriculture, Kyushu University, Vol. 62, No. 2, 01.09.2017, p. 403-410.

Research output: Contribution to journalArticle

@article{cf77c5ab01044224a9e7466bc28944ce,
title = "Global prediction of geographical change of yellow crazy ant (Anoplolepis gracilipes) distribution in response to climate change scenario",
abstract = "Yellow crazy ant (Anoplolepis gracilipes) is a notorious insect which has destroyed local ecosystems when invaded. According to changes in habitats of alien species caused by the recent climate change, the risk of introducing yellow crazy ant into new area has been increase. This study aimed to predict and compare future global distribution of yellow crazy ant simulated based on different climate change scenarios by using CLIMEX The simulation showed that Central Africa, South America, Oceania, and Southeast Asia might be exposed to the threat of invasion under the current climate. In addition, the type of climate scenarios resulted in quantitatively different climatic suitability, while qualitative patterns of predicted distribution were similar. In conclusion, this study illustrated the use of niche model provided by CLIMEX for predicting global yellow crazy ant distribution changing by climatic condition, suggesting its future application on risk assessment of invasive species and on analyzing climate change scenario.",
author = "Jung, {Jae Min} and Byeon, {Dae Hyeon} and Jung, {Sung Hoon} and Yu, {Yong Man} and Chisa Yasunaga-Aoki and Lee, {Wang Hee}",
year = "2017",
month = "9",
day = "1",
language = "English",
volume = "62",
pages = "403--410",
journal = "Journal of the Faculty of Agriculture, Kyushu University",
issn = "0023-6152",
publisher = "Faculty of Agriculture, Kyushu University",
number = "2",

}

TY - JOUR

T1 - Global prediction of geographical change of yellow crazy ant (Anoplolepis gracilipes) distribution in response to climate change scenario

AU - Jung, Jae Min

AU - Byeon, Dae Hyeon

AU - Jung, Sung Hoon

AU - Yu, Yong Man

AU - Yasunaga-Aoki, Chisa

AU - Lee, Wang Hee

PY - 2017/9/1

Y1 - 2017/9/1

N2 - Yellow crazy ant (Anoplolepis gracilipes) is a notorious insect which has destroyed local ecosystems when invaded. According to changes in habitats of alien species caused by the recent climate change, the risk of introducing yellow crazy ant into new area has been increase. This study aimed to predict and compare future global distribution of yellow crazy ant simulated based on different climate change scenarios by using CLIMEX The simulation showed that Central Africa, South America, Oceania, and Southeast Asia might be exposed to the threat of invasion under the current climate. In addition, the type of climate scenarios resulted in quantitatively different climatic suitability, while qualitative patterns of predicted distribution were similar. In conclusion, this study illustrated the use of niche model provided by CLIMEX for predicting global yellow crazy ant distribution changing by climatic condition, suggesting its future application on risk assessment of invasive species and on analyzing climate change scenario.

AB - Yellow crazy ant (Anoplolepis gracilipes) is a notorious insect which has destroyed local ecosystems when invaded. According to changes in habitats of alien species caused by the recent climate change, the risk of introducing yellow crazy ant into new area has been increase. This study aimed to predict and compare future global distribution of yellow crazy ant simulated based on different climate change scenarios by using CLIMEX The simulation showed that Central Africa, South America, Oceania, and Southeast Asia might be exposed to the threat of invasion under the current climate. In addition, the type of climate scenarios resulted in quantitatively different climatic suitability, while qualitative patterns of predicted distribution were similar. In conclusion, this study illustrated the use of niche model provided by CLIMEX for predicting global yellow crazy ant distribution changing by climatic condition, suggesting its future application on risk assessment of invasive species and on analyzing climate change scenario.

UR - http://www.scopus.com/inward/record.url?scp=85034585491&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034585491&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85034585491

VL - 62

SP - 403

EP - 410

JO - Journal of the Faculty of Agriculture, Kyushu University

JF - Journal of the Faculty of Agriculture, Kyushu University

SN - 0023-6152

IS - 2

ER -