Spatial Distribution Pattern of <i>Aromia bungii</i> Within China and Its Potential Distribution Under Climate Change and Human Activity

<i>Aromia bungii</i> is a pest that interferes with the health of forests and hinders the development of the fruit tree industry, and its spread is influenced by changes in abiotic factors and human activities. Therefore, exploring their spatial distribution patterns and potential distribution areas under such conditions is crucial for maintaining forest ecosystem security. This study analyzed the spatial differentiation characteristics of the geographic distribution pattern of <i>A. bungii</i> in China using Moran's <i>I</i> and the Getis-Ord General <i>G</i> index. Hot spot distribution areas were identified using Getis-Ord Gi*. An optimized MaxEnt model was used to predict the potential distribution areas of <i>A. bungii</i> within China under four shared economic pathways by combining multivariate environmental data: (1) prediction of natural environmental variables predicted under current climate models; (2) prediction of natural environmental variables + human activities under current climate models; and (3) prediction of natural environmental variables under the future climate models (2050s and 2070s). Meanwhile, MigClim was used to simulate the unoccupied suitable area in the presence of obstacles under future climate change. The results showed that human activities, minimum temperature of the coldest month, and precipitation of the wettest month had positive effects on the distribution of <i>A. bungii</i>. However, in the current period, human activities drastically reduced the survival area of <i>A. bungii</i>, and its suitable distribution area was mainly concentrated in the eastern and central regions of China. Under the influence of climate change in the future, the habitat of <i>A. bungii</i> will gradually increase. Additionally, the MigClim model indicates that the area unoccupied by <i>A. bungii</i> has been on a continuous increasing trend. This study provides a positive reference for the prevention and control of <i>A. bungii</i> and the maintenance of forest health and ecosystem security, and provides important theoretical guidance for researchers, policymakers, and governments.

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Publication Details

Journal
Ecology and Evolution
Published
2024-11-01
DOI
https://doi.org/10.1002/ece3.70520
Citations
20
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
18.39

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article

Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity

Ping Wang, Guanglin Xie, Wenkai Wang, Liang Zhang
20 citations
Ecology and Evolution
Species Distribution and Climate Change
18.39
article

Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity

Ping Wang, Guanglin Xie, Wenkai Wang, Liang Zhang
article en
20 citations

Abstract

<i>Aromia bungii</i> is a pest that interferes with the health of forests and hinders the development of the fruit tree industry, and its spread is influenced by changes in abiotic factors and human activities. Therefore, exploring their spatial distribution patterns and potential distribution areas under such conditions is crucial for maintaining forest ecosystem security. This study analyzed the spatial differentiation characteristics of the geographic distribution pattern of <i>A. bungii</i> in China using Moran's <i>I</i> and the Getis-Ord General <i>G</i> index. Hot spot distribution areas were identified using Getis-Ord Gi*. An optimized MaxEnt model was used to predict the potential distribution areas of <i>A. bungii</i> within China under four shared economic pathways by combining multivariate environmental data: (1) prediction of natural environmental variables predicted under current climate models; (2) prediction of natural environmental variables + human activities under current climate models; and (3) prediction of natural environmental variables under the future climate models (2050s and 2070s). Meanwhile, MigClim was used to simulate the unoccupied suitable area in the presence of obstacles under future climate change. The results showed that human activities, minimum temperature of the coldest month, and precipitation of the wettest month had positive effects on the distribution of <i>A. bungii</i>. However, in the current period, human activities drastically reduced the survival area of <i>A. bungii</i>, and its suitable distribution area was mainly concentrated in the eastern and central regions of China. Under the influence of climate change in the future, the habitat of <i>A. bungii</i> will gradually increase. Additionally, the MigClim model indicates that the area unoccupied by <i>A. bungii</i> has been on a continuous increasing trend. This study provides a positive reference for the prevention and control of <i>A. bungii</i> and the maintenance of forest health and ecosystem security, and provides important theoretical guidance for researchers, policymakers, and governments.

Ecology and EvolutionVol. 14(11)
Yangtze University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 1%
Species Distribution and Climate Change
18.39
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