Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity
ABSTRACT Aromia bungii 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 are...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
|
| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.70520 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850053011056885760 |
|---|---|
| author | Liang Zhang Ping Wang Guanglin Xie Wenkai Wang |
| author_facet | Liang Zhang Ping Wang Guanglin Xie Wenkai Wang |
| author_sort | Liang Zhang |
| collection | DOAJ |
| description | ABSTRACT Aromia bungii 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 A. bungii in China using Moran's I and the Getis‐Ord General G index. Hot spot distribution areas were identified using Getis‐Ord Gi*. An optimized MaxEnt model was used to predict the potential distribution areas of A. bungii 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 A. bungii. However, in the current period, human activities drastically reduced the survival area of A. bungii, 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 A. bungii will gradually increase. Additionally, the MigClim model indicates that the area unoccupied by A. bungii has been on a continuous increasing trend. This study provides a positive reference for the prevention and control of A. bungii and the maintenance of forest health and ecosystem security, and provides important theoretical guidance for researchers, policymakers, and governments. |
| format | Article |
| id | doaj-art-560688c4e0aa4850a9ed8959eb7b826a |
| institution | DOAJ |
| issn | 2045-7758 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj-art-560688c4e0aa4850a9ed8959eb7b826a2025-08-20T02:52:38ZengWileyEcology and Evolution2045-77582024-11-011411n/an/a10.1002/ece3.70520Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human ActivityLiang Zhang0Ping Wang1Guanglin Xie2Wenkai Wang3Institute of Entomology, College of Agriculture Yangtze University Jingzhou ChinaInstitute of Entomology, College of Agriculture Yangtze University Jingzhou ChinaInstitute of Entomology, College of Agriculture Yangtze University Jingzhou ChinaInstitute of Entomology, College of Agriculture Yangtze University Jingzhou ChinaABSTRACT Aromia bungii 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 A. bungii in China using Moran's I and the Getis‐Ord General G index. Hot spot distribution areas were identified using Getis‐Ord Gi*. An optimized MaxEnt model was used to predict the potential distribution areas of A. bungii 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 A. bungii. However, in the current period, human activities drastically reduced the survival area of A. bungii, 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 A. bungii will gradually increase. Additionally, the MigClim model indicates that the area unoccupied by A. bungii has been on a continuous increasing trend. This study provides a positive reference for the prevention and control of A. bungii and the maintenance of forest health and ecosystem security, and provides important theoretical guidance for researchers, policymakers, and governments.https://doi.org/10.1002/ece3.70520climate changehuman activityMaxEnt modelMigClim modelspatial autocorrelation |
| spellingShingle | Liang Zhang Ping Wang Guanglin Xie Wenkai Wang Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity Ecology and Evolution climate change human activity MaxEnt model MigClim model spatial autocorrelation |
| title | Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity |
| title_full | Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity |
| title_fullStr | Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity |
| title_full_unstemmed | Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity |
| title_short | Spatial Distribution Pattern of Aromia bungii Within China and Its Potential Distribution Under Climate Change and Human Activity |
| title_sort | spatial distribution pattern of aromia bungii within china and its potential distribution under climate change and human activity |
| topic | climate change human activity MaxEnt model MigClim model spatial autocorrelation |
| url | https://doi.org/10.1002/ece3.70520 |
| work_keys_str_mv | AT liangzhang spatialdistributionpatternofaromiabungiiwithinchinaanditspotentialdistributionunderclimatechangeandhumanactivity AT pingwang spatialdistributionpatternofaromiabungiiwithinchinaanditspotentialdistributionunderclimatechangeandhumanactivity AT guanglinxie spatialdistributionpatternofaromiabungiiwithinchinaanditspotentialdistributionunderclimatechangeandhumanactivity AT wenkaiwang spatialdistributionpatternofaromiabungiiwithinchinaanditspotentialdistributionunderclimatechangeandhumanactivity |