Global Distribution Prediction of Cyrtotrachelus buqueti Guer (Coleoptera: Curculionidae) Insights from the Optimised MaxEnt Model

<i>Cyrtotrachelus buqueti</i> Guer is a major pest affecting bamboo forests economically, causing significant damage to bamboo forests in Sichuan Province, China. To understand how <i>C. buqueti</i> responds to future climate conditions, an optimized Maximum Entropy Model (Maxent) was used to simulate the potential global distribution patterns of <i>C. buqueti</i> under current climate conditions and three different future climate scenarios and to analyze the dominant factors influencing its distribution. The results indicate that Bio18 (precipitation of the warmest quarter), Bio04 (temperature seasonality), Bio06 (minimum temperature of the coldest month), and Bio02 (mean diurnal temperature range) are the main environmental factors affecting the distribution of this species. The global area of high-suitability habitats for <i>C. buqueti</i> is 9.00 × 10<sup>4</sup> km<sup>2</sup>, primarily distributed in China. Under three different future climate scenarios, there are varying degrees of expansion in both the total suitable habitat and the medium-suitability areas for <i>C. buqueti</i>. Under the SSP5-8.5 scenario, the medium-suitability area of the species increases the most, reaching 9.83 × 10<sup>4</sup> km<sup>2</sup>. Additionally, these findings can serve as a reference for developing and implementing control strategies, assisting relevant authorities in more effectively managing and controlling this pest, and mitigating its potential threats to bamboo forest ecosystems and economies.

Authors

Institutions

Publication Details

Journal
Insects
Published
2024-09-17
DOI
https://doi.org/10.3390/insects15090708
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.92

Funders

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

Global Distribution Prediction of Cyrtotrachelus buqueti Guer (Coleoptera: Curculionidae) Insights from the Optimised MaxEnt Model

Jun‐Yi Yang, Zhihang Zhuo, Danping Xu, Yaqin Peng
1 citations
Insects
Species Distribution and Climate Change
0.92
article

Global Distribution Prediction of Cyrtotrachelus buqueti Guer (Coleoptera: Curculionidae) Insights from the Optimised MaxEnt Model

Jun‐Yi Yang, Zhihang Zhuo, Danping Xu, Yaqin Peng
article en
1 citations

Abstract

<i>Cyrtotrachelus buqueti</i> Guer is a major pest affecting bamboo forests economically, causing significant damage to bamboo forests in Sichuan Province, China. To understand how <i>C. buqueti</i> responds to future climate conditions, an optimized Maximum Entropy Model (Maxent) was used to simulate the potential global distribution patterns of <i>C. buqueti</i> under current climate conditions and three different future climate scenarios and to analyze the dominant factors influencing its distribution. The results indicate that Bio18 (precipitation of the warmest quarter), Bio04 (temperature seasonality), Bio06 (minimum temperature of the coldest month), and Bio02 (mean diurnal temperature range) are the main environmental factors affecting the distribution of this species. The global area of high-suitability habitats for <i>C. buqueti</i> is 9.00 × 10<sup>4</sup> km<sup>2</sup>, primarily distributed in China. Under three different future climate scenarios, there are varying degrees of expansion in both the total suitable habitat and the medium-suitability areas for <i>C. buqueti</i>. Under the SSP5-8.5 scenario, the medium-suitability area of the species increases the most, reaching 9.83 × 10<sup>4</sup> km<sup>2</sup>. Additionally, these findings can serve as a reference for developing and implementing control strategies, assisting relevant authorities in more effectively managing and controlling this pest, and mitigating its potential threats to bamboo forest ecosystems and economies.

InsectsVol. 15(9)
China West Normal University (CN)
China West Normal University, Fundamental Research Funds of China West Normal University
Openalex Percentile: Top 15%
Species Distribution and Climate Change
0.92
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.