Assessing the Potential Distribution of <i>Pseudoechthistatus</i> (Coleoptera: Cerambycidae) in China Under Climate Change Using Species Distribution Models

Climate change will lead to changes in biological ecosystems, which may affect the geographic distribution of <i>Pseudoechthistatus</i> and thus alter the extent and spatial pattern of its habitat. <i>Pseudoechthistatus</i> plays an important role in biodiversity and has significant ecological value. This study utilized an optimized MaxEnt model to predict the predicted distribution of <i>Pseudoechthistatus</i> in China for the current and future (2050s and 2070s). The results show that the MaxEnt model has high prediction accuracy with AUC values higher than 0.97 for both training and testing. The most influential factors contributing to the distribution of <i>Pseudoechthistatus</i> were temperature seasonality (Bio4) and isothermality (Bio3), accounting for 38.8% and 28.2%, respectively. Furthermore, southern China remains a region of high suitability for <i>Pseudoechthistatus</i> species diversity. However, the Beijing climate center climate system model (BCC-CSM2-MR) predicts a decrease in suitable areas for <i>Pseudoechthistatus</i>, while the model for interdisciplinary research on climate (MIROC6) predicts an increase in medium and low suitable areas for <i>Pseudoechthistatus</i>. Additionally, future climate change will significantly alter its distribution pattern, with <i>Pseudoechthistatus</i> predicted to decrease its suitable area by 6.64%-28.01% under the BCC-CSM2-MR model and increase its suitable area by 6.14%-18.61% under the MIROC6 model. The results show that the MaxEnt model can improve the understanding of the geographical distribution of <i>Pseudoechthistatus</i> in the context of climate change and provide a scientific basis for the identification of potentially suitable habitats and the development of stable suitable areas for conservation.

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Publication Details

Journal
Ecology and Evolution
Published
2025-04-01
DOI
https://doi.org/10.1002/ece3.71303
Citations
3
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
5.51

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article

Assessing the Potential Distribution of Pseudoechthistatus (Coleoptera: Cerambycidae) in China Under Climate Change Using Species Distribution Models

Ping Wang, Wen‐Kai Wang, Guanglin Xie, Liang Zhang
3 citations
Ecology and Evolution
Species Distribution and Climate Change
5.51
article

Assessing the Potential Distribution of Pseudoechthistatus (Coleoptera: Cerambycidae) in China Under Climate Change Using Species Distribution Models

Ping Wang, Wen‐Kai Wang, Guanglin Xie, Liang Zhang
article en
3 citations

Abstract

Climate change will lead to changes in biological ecosystems, which may affect the geographic distribution of <i>Pseudoechthistatus</i> and thus alter the extent and spatial pattern of its habitat. <i>Pseudoechthistatus</i> plays an important role in biodiversity and has significant ecological value. This study utilized an optimized MaxEnt model to predict the predicted distribution of <i>Pseudoechthistatus</i> in China for the current and future (2050s and 2070s). The results show that the MaxEnt model has high prediction accuracy with AUC values higher than 0.97 for both training and testing. The most influential factors contributing to the distribution of <i>Pseudoechthistatus</i> were temperature seasonality (Bio4) and isothermality (Bio3), accounting for 38.8% and 28.2%, respectively. Furthermore, southern China remains a region of high suitability for <i>Pseudoechthistatus</i> species diversity. However, the Beijing climate center climate system model (BCC-CSM2-MR) predicts a decrease in suitable areas for <i>Pseudoechthistatus</i>, while the model for interdisciplinary research on climate (MIROC6) predicts an increase in medium and low suitable areas for <i>Pseudoechthistatus</i>. Additionally, future climate change will significantly alter its distribution pattern, with <i>Pseudoechthistatus</i> predicted to decrease its suitable area by 6.64%-28.01% under the BCC-CSM2-MR model and increase its suitable area by 6.14%-18.61% under the MIROC6 model. The results show that the MaxEnt model can improve the understanding of the geographical distribution of <i>Pseudoechthistatus</i> in the context of climate change and provide a scientific basis for the identification of potentially suitable habitats and the development of stable suitable areas for conservation.

Ecology and EvolutionVol. 15(4)
Yangtze University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Climate action
Openalex Percentile: Top 5%
Species Distribution and Climate Change
5.51
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