Predicting Suitable Habitat for Glipa (Coleoptera: Mordellidae: Mordellinae) Under Current and Future Climates Using MaxEnt Modeling

Beetles of the family Mordellidae, important global pollinators, include <i>Glipa</i>, the third largest genus, which retains plesiomorphic traits related to pollination and is mainly found between 38° S-38° N. Existing studies on <i>Glipa</i> focus largely on taxonomy and systematics. The ecological response of <i>Glipa</i> to climate change remains poorly understood. Our objective was to investigate how the distribution of <i>Glipa</i> may respond to climate change using a species-level MaxEnt based model with 297 geographic distribution data points and seven bioclimatic environmental variables. The study showed that the MaxEnt model had a high predictive accuracy, with an Area Under the Curve (AUC) value of 0.963. The maximum temperature of the warmest month, mean annual precipitation, and mean precipitation of the driest quarter were the three most important factors affecting the distribution of <i>Glipa</i>. Currently, the suitable distribution areas of <i>Glipa</i> are mainly located in East Asia, Southeast Asia, eastern North America, South America, and central and western Africa. Under future climate scenarios, the area of suitable habitat is expected to increase gradually as global temperatures rise. Under the SSP585 scenario in the 2070s, the suitable habitat area is projected to expand by 53.89% compared to the present. Additionally, the centroid of suitable habitat is expected to shift northward. This study not only deepens the understanding of the distribution patterns of <i>Glipa</i> and their response to climate change but also provides important scientific evidence for the conservation of pollinator diversity.

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Journal
Insects
Published
2025-06-18
DOI
https://doi.org/10.3390/insects16060642
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
1.84

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article

Predicting Suitable Habitat for Glipa (Coleoptera: Mordellidae: Mordellinae) Under Current and Future Climates Using MaxEnt Modeling

Xianheng Ouyang, Xie Su, Yang Liu, Yang Wang et al.
1 citations
Insects
Species Distribution and Climate Change
1.84
article

Predicting Suitable Habitat for Glipa (Coleoptera: Mordellidae: Mordellinae) Under Current and Future Climates Using MaxEnt Modeling

Xianheng Ouyang, Xie Su, Yang Liu, Yang Wang, Xinjing Ding, Wangang Liu
article en
1 citations

Abstract

Beetles of the family Mordellidae, important global pollinators, include <i>Glipa</i>, the third largest genus, which retains plesiomorphic traits related to pollination and is mainly found between 38° S-38° N. Existing studies on <i>Glipa</i> focus largely on taxonomy and systematics. The ecological response of <i>Glipa</i> to climate change remains poorly understood. Our objective was to investigate how the distribution of <i>Glipa</i> may respond to climate change using a species-level MaxEnt based model with 297 geographic distribution data points and seven bioclimatic environmental variables. The study showed that the MaxEnt model had a high predictive accuracy, with an Area Under the Curve (AUC) value of 0.963. The maximum temperature of the warmest month, mean annual precipitation, and mean precipitation of the driest quarter were the three most important factors affecting the distribution of <i>Glipa</i>. Currently, the suitable distribution areas of <i>Glipa</i> are mainly located in East Asia, Southeast Asia, eastern North America, South America, and central and western Africa. Under future climate scenarios, the area of suitable habitat is expected to increase gradually as global temperatures rise. Under the SSP585 scenario in the 2070s, the suitable habitat area is projected to expand by 53.89% compared to the present. Additionally, the centroid of suitable habitat is expected to shift northward. This study not only deepens the understanding of the distribution patterns of <i>Glipa</i> and their response to climate change but also provides important scientific evidence for the conservation of pollinator diversity.

InsectsVol. 16(6)
Chinese Academy of Sciences (CN), Northwest University (CN), Shangluo University (CN), Institute of Earth Environment (CN), University of Manitoba (CA), Northwest A&F University (CN)
National Natural Science Foundation of China, Shangluo University
Climate action
Openalex Percentile: Top 14%
Species Distribution and Climate Change
1.84
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