The Involvement of Human Factors Brings New Findings for Predicting Global Suitability Habitat for <i>Hyphantria cunea</i> (Lepidoptera: Arctiidae)
Invasive pests have spread globally at an unprecedented scale, severely threatening biodiversity and resulting in significant economic losses, emerging as a global problem. This study utilizes the Maxent model, incorporating human and natural factors to predict the current and future potential global distribution of <i>Hyphantria cunea</i>, for comparison with climate change. Results indicate that under the influence of climate change, human factors have significantly altered the potential global distribution of <i>H. cunea</i>. In contrast to the potential distribution driven by climate change, this paper suggests that the suitable habitat area for <i>H. cunea</i> in Oceania, Southern Hemisphere, is expected to increase. Over the long term, under the SSP126 and 585 scenarios, there is a forecasted reduction of 25.2% and 33.2% in the suitable living area for <i>H. cunea</i>, whereas the SSP245 and 370 scenarios anticipate increases of 13.9% and 5.7%, respectively. Moreover, this research identifies areas of high suitability across continents and forecasts changes in the distribution patterns of <i>H. cunea</i> in the future. It offers crucial insights for developing more effective global quarantine strategies and pest management policies.
Authors
- Jun Yang (ORCID: https://orcid.org/0000-0003-1800-5005)
- Hongwei Zhou (ORCID: https://orcid.org/0000-0002-6030-9523)
- Yun Chen (ORCID: https://orcid.org/0000-0003-1066-8058)
- Yuxi Li (ORCID: https://orcid.org/0000-0002-8564-2381)
- Jun Chen (ORCID: https://orcid.org/0000-0003-0522-8437)
- Di Cui (ORCID: https://orcid.org/0000-0002-2024-1288)
- He Hu (ORCID: https://orcid.org/0009-0001-1966-7898)
- Yongzhen Li (ORCID: https://orcid.org/0000-0002-4747-4225)
- Yunbo Yan
Institutions
- Heilongjiang Academy of Forestry (CN)
- Northeast Forestry University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Ecology and Evolution
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1002/ece3.71421
- Citations
- 4
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 7.35
Funders
- National Key Research and Development Program of China