Predicting the Invasion Risk of the Highly Invasive Acacia mearnsii in Asia under Global Climate Change

Acacia mearnsii, among the 100 worst invasive weeds worldwide, negatively impacts native biodiversity, agriculture, and natural ecosystems. Global climate change, characterized by rising temperatures and altered precipitation patterns, enhances the risk of A. mearnsii invasion in Asia, making it crucial to identify high-risk areas for effective management. This study performed species distribution modeling using the maximum entropy (MaxEnt) algorithm to predict the potential introduction and spread of A. mearnsii under various climate scenarios based on shared socio-economic pathways (SSP2-4.5 and SSP5-8.5). Currently, only 4.35% of Asia is invaded, with a high invasion risk identified in six countries, including Bhutan, Lebanon, and Taiwan, where more than 75% of their areas are threatened. Under future climate scenarios, 21 countries face invasion risk, among which 14 countries, such as Georgia, Laos, Republic of Korea, and Turkey, are at moderate to very high risk, potentially encompassing up to 87.89% of their territories. Conversely, Northern Asian countries exhibit minimal changes in invasion risk and are considered relatively safe from invasion. These findings underscore that climate change will exacerbate invasion risks across Asia, emphasizing the urgent need for robust management strategies, including stringent quarantine measures and control efforts, to mitigate the threat of A. mearnsii expansion.

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Publication Details

Journal
Plants
Published
2024-10-11
DOI
https://doi.org/10.3390/plants13202846
Citations
9
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
8.28

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article

Predicting the Invasion Risk of the Highly Invasive Acacia mearnsii in Asia under Global Climate Change

Sun Hee Hong, Anil Poudel, Prabhat Adhikari, Pradeep Adhikari et al.
9 citations
Plants
Species Distribution and Climate Change
8.28
article

Predicting the Invasion Risk of the Highly Invasive Acacia mearnsii in Asia under Global Climate Change

Sun Hee Hong, Anil Poudel, Prabhat Adhikari, Pradeep Adhikari, Yong Ho Lee, Ji Yeon Yun, Sue Hyuen Choi
article en
9 citations

Abstract

Acacia mearnsii, among the 100 worst invasive weeds worldwide, negatively impacts native biodiversity, agriculture, and natural ecosystems. Global climate change, characterized by rising temperatures and altered precipitation patterns, enhances the risk of A. mearnsii invasion in Asia, making it crucial to identify high-risk areas for effective management. This study performed species distribution modeling using the maximum entropy (MaxEnt) algorithm to predict the potential introduction and spread of A. mearnsii under various climate scenarios based on shared socio-economic pathways (SSP2-4.5 and SSP5-8.5). Currently, only 4.35% of Asia is invaded, with a high invasion risk identified in six countries, including Bhutan, Lebanon, and Taiwan, where more than 75% of their areas are threatened. Under future climate scenarios, 21 countries face invasion risk, among which 14 countries, such as Georgia, Laos, Republic of Korea, and Turkey, are at moderate to very high risk, potentially encompassing up to 87.89% of their territories. Conversely, Northern Asian countries exhibit minimal changes in invasion risk and are considered relatively safe from invasion. These findings underscore that climate change will exacerbate invasion risks across Asia, emphasizing the urgent need for robust management strategies, including stringent quarantine measures and control efforts, to mitigate the threat of A. mearnsii expansion.

PlantsVol. 13(20)
Hankyong National University (KR), Korea University (KR)
Ministry of Agriculture, Food and Rural Affairs, Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry
Openalex Percentile: Top 3%
Species Distribution and Climate Change
8.28
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