Human Activities and Climate Change Accelerate the Spread Risk of Hyphantria cunea in China

Anthropogenic activities and climate change have accelerated biological invasions, leading to profound ecological, economic, social, and health impacts. The invasive species fall webworm (<i>Hyphantria cunea</i>) has been reported to have outbreaks in areas with climate anomalies and human settlements in recent years, highlighting the necessity to explore the species' suitable habitat and associated future changes. We built an ensemble species distribution model using Random Forest, MaxEnt, and Support Vector Machine, achieving excellent predictive performance (AUC = 0.996). Our results identify human settlement density as the dominant driving factor, with a contribution > 50%, far exceeding climatic and forest structure variables. Therefore, densely urbanized regions such as Beijing-Tianjin-Hebei, the Liaodong Peninsula, and the North China Plain comprise the current highly suitable areas. Future climate projections suggest a continued expansion of the suitable habitat for <i>H. cunea</i>, with the most pronounced growth expected under the high-emission pathway (SSP5-8.5), where human activity is greatest. Such a correlation indicates that highly urbanized regions should be given priority for corresponding monitoring and control measures. As climate warming continues, northeastern China will face escalating invasion risks. Conversely, some regions within the Yangtze River Delta may become less suitable for the habitation of <i>H. cunea</i>. These findings provide insightful guidance for region-specific surveillance, quarantine measures, and the precision management of <i>H. cunea</i> in China.

Authors

Institutions

Publication Details

Journal
Insects
Published
2026-01-30
DOI
https://doi.org/10.3390/insects17020154
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Activities and Climate Change Accelerate the Spread Risk of Hyphantria cunea in China

Zhaochen Xu, Mu Duan, Longwa Zhang, Lilin Zhao et al.
Insects
Environmental DNA in Biodiversity Studies
article

Human Activities and Climate Change Accelerate the Spread Risk of Hyphantria cunea in China

Zhaochen Xu, Mu Duan, Longwa Zhang, Lilin Zhao, Jing Ning, Gejiao Wang, Zhen Zhang
article en

Abstract

Anthropogenic activities and climate change have accelerated biological invasions, leading to profound ecological, economic, social, and health impacts. The invasive species fall webworm (<i>Hyphantria cunea</i>) has been reported to have outbreaks in areas with climate anomalies and human settlements in recent years, highlighting the necessity to explore the species' suitable habitat and associated future changes. We built an ensemble species distribution model using Random Forest, MaxEnt, and Support Vector Machine, achieving excellent predictive performance (AUC = 0.996). Our results identify human settlement density as the dominant driving factor, with a contribution > 50%, far exceeding climatic and forest structure variables. Therefore, densely urbanized regions such as Beijing-Tianjin-Hebei, the Liaodong Peninsula, and the North China Plain comprise the current highly suitable areas. Future climate projections suggest a continued expansion of the suitable habitat for <i>H. cunea</i>, with the most pronounced growth expected under the high-emission pathway (SSP5-8.5), where human activity is greatest. Such a correlation indicates that highly urbanized regions should be given priority for corresponding monitoring and control measures. As climate warming continues, northeastern China will face escalating invasion risks. Conversely, some regions within the Yangtze River Delta may become less suitable for the habitation of <i>H. cunea</i>. These findings provide insightful guidance for region-specific surveillance, quarantine measures, and the precision management of <i>H. cunea</i> in China.

InsectsVol. 17(2)
Anhui Agricultural University (CN), Queen Mary University of London (GB), Chinese Academy of Sciences (CN), National Institute of Ecology (IN), Institute of Zoology (CN), Hebei University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, China Scholarship Council, National Forestry and Grassland Administration, Institute of Zoology, Chinese Academy of Sciences
Sustainable cities and communities
Openalex Percentile: Top 77%
Environmental DNA in Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.