Integrating ensemble modeling into pre-emptive classical biological control: Assessing climate suitability and niche overlap of two natural enemies against Anoplophora chinensis (Coleoptera: Cerambycidae) in China

• The distribution ranges of the two natural enemies and A. chinensis exhibit significant spatial overlap in China. • Climate change has reduced the suitable ranges of two natural enemies while expanding the distribution range of A. chinensis . • The distribution patterns of A. chinensis and its natural enemies are driven by multiple factors. • The ecological niches of the two natural enemies are highly similar to that of A. chinensis . Anoplophora chinensis (Coleoptera: Cerambycidae) is an economically important wood-boring pest in China, posing serious threats to forest ecosystems, with its potential range expansion further intensified by climate change. To address the ecological and economic threats posed by A. chinensis , this study combined ecological niche modeling and species distribution modeling (SDM) to evaluate the biocontrol potential of two key natural enemies, Dastarcus helophoroides (Coleoptera: Bothrideridae) and Sclerodermus sichuanensis (Hymenoptera: Bethylidae). Meanwhile, niche overlap analysis was performed to quantify the ecological niche similarity between these natural enemies and the target pest. The results demonstrate that under the current climate, eastern, northern, and central China are key regions where the suitable habitats of both natural enemies ( D. helophoroides and S. sichuanensis ) exhibit significant spatial overlap with the distribution range of A. chinensis . However, climate change indicates a potential contraction in the suitable ranges of both natural enemies, in contrast to an expansion in the distribution of A. chinensis . Further analysis identified that bioclimate, vegetation indices, topography, solar radiation, and human activities are the critical environmental factors jointly driving the distribution patterns of A. chinensis and its natural enemies. Additionally, niche overlap analysis indicated that the ecological niches of both natural enemies are highly similar to that of A. chinensis . This study provides new insights into optimizing natural enemy release areas and enhancing classical biological control efficiency, while providing scientific guidance for integrated forest pest management and ecosystem conservation.

Authors

Institutions

Publication Details

Journal
Biological Control
Published
2025-12-01
DOI
https://doi.org/10.1016/j.biocontrol.2025.105932
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating ensemble modeling into pre-emptive classical biological control: Assessing climate suitability and niche overlap of two natural enemies against Anoplophora chinensis (Coleoptera: Cerambycidae) in China

Ping Wang, Guanglin Xie, Wenkai Wang, Liang Zhang et al.
Biological Control
Forest Insect Ecology and Management
article

Integrating ensemble modeling into pre-emptive classical biological control: Assessing climate suitability and niche overlap of two natural enemies against Anoplophora chinensis (Coleoptera: Cerambycidae) in China

Ping Wang, Guanglin Xie, Wenkai Wang, Liang Zhang, Chaokun Yang
article en

Abstract

• The distribution ranges of the two natural enemies and A. chinensis exhibit significant spatial overlap in China. • Climate change has reduced the suitable ranges of two natural enemies while expanding the distribution range of A. chinensis . • The distribution patterns of A. chinensis and its natural enemies are driven by multiple factors. • The ecological niches of the two natural enemies are highly similar to that of A. chinensis . Anoplophora chinensis (Coleoptera: Cerambycidae) is an economically important wood-boring pest in China, posing serious threats to forest ecosystems, with its potential range expansion further intensified by climate change. To address the ecological and economic threats posed by A. chinensis , this study combined ecological niche modeling and species distribution modeling (SDM) to evaluate the biocontrol potential of two key natural enemies, Dastarcus helophoroides (Coleoptera: Bothrideridae) and Sclerodermus sichuanensis (Hymenoptera: Bethylidae). Meanwhile, niche overlap analysis was performed to quantify the ecological niche similarity between these natural enemies and the target pest. The results demonstrate that under the current climate, eastern, northern, and central China are key regions where the suitable habitats of both natural enemies ( D. helophoroides and S. sichuanensis ) exhibit significant spatial overlap with the distribution range of A. chinensis . However, climate change indicates a potential contraction in the suitable ranges of both natural enemies, in contrast to an expansion in the distribution of A. chinensis . Further analysis identified that bioclimate, vegetation indices, topography, solar radiation, and human activities are the critical environmental factors jointly driving the distribution patterns of A. chinensis and its natural enemies. Additionally, niche overlap analysis indicated that the ecological niches of both natural enemies are highly similar to that of A. chinensis . This study provides new insights into optimizing natural enemy release areas and enhancing classical biological control efficiency, while providing scientific guidance for integrated forest pest management and ecosystem conservation.

Biological ControlVol. 211
Yangtze University (CN)
Openalex Percentile: Top 62%
Forest Insect Ecology and Management
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.