Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model

Effective use of species distribution models can assess the risk of spreading forest pests. In this study, based on 434 occurrence records and eight environmental variables, an ensemble model was applied to identify key environmental factors affecting the distribution of <i>Apriona rugicollis</i> Chevrolat, 1852 and predict its potential habitat and its relative areas of change under current and future climatic conditions. The results indicate that humidity, solar radiation, topography, and human activities were the main factors influencing the distribution of <i>A. rugicollis</i>. Under the current climate scenario, suitable habitats are mainly concentrated in East Asia, including North Korea, South Korea, Japan, Myanmar, Vietnam, and China. Under future climate scenarios, the area of suitable habitat for <i>A. rugicollis</i> gradually increases, especially in China and Japan, which are at high risk of spreading. In addition, the suitable habitat of <i>A. rugicollis</i> will expand northeastward to higher latitudes. The results of this study provide an important scientific basis for policymakers to formulate strategies for monitoring and controlling <i>A. rugicollis</i> in response to climate change.

Authors

Institutions

Publication Details

Journal
Insects
Published
2024-11-27
DOI
https://doi.org/10.3390/insects15120930
Citations
13
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
11.95

Funders

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

Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model

Ping Wang, Guanglin Xie, Wenkai Wang, Liang Zhang et al.
13 citations
Insects
Species Distribution and Climate Change
11.95
article

Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model

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

Abstract

Effective use of species distribution models can assess the risk of spreading forest pests. In this study, based on 434 occurrence records and eight environmental variables, an ensemble model was applied to identify key environmental factors affecting the distribution of <i>Apriona rugicollis</i> Chevrolat, 1852 and predict its potential habitat and its relative areas of change under current and future climatic conditions. The results indicate that humidity, solar radiation, topography, and human activities were the main factors influencing the distribution of <i>A. rugicollis</i>. Under the current climate scenario, suitable habitats are mainly concentrated in East Asia, including North Korea, South Korea, Japan, Myanmar, Vietnam, and China. Under future climate scenarios, the area of suitable habitat for <i>A. rugicollis</i> gradually increases, especially in China and Japan, which are at high risk of spreading. In addition, the suitable habitat of <i>A. rugicollis</i> will expand northeastward to higher latitudes. The results of this study provide an important scientific basis for policymakers to formulate strategies for monitoring and controlling <i>A. rugicollis</i> in response to climate change.

InsectsVol. 15(12)
Yangtze University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Climate action
Openalex Percentile: Top 2%
Species Distribution and Climate Change
11.95
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.