Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change

<i>Luprops orientalis</i> (Motschulsky, 1868) is an economically important pest in traditional Chinese medicines, widely distributed in East Asia. However, the primary limiting factors affecting its distribution, potential suitable areas, as well as its response to global warming, remain...

Full description

Saved in:
Bibliographic Details
Main Authors: Jieqiong Wang, Shuangyi Wang, Yunchun Li, Shuangmei Ding, Zhonghua Wei, Aimin Shi, Ding Yang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Insects
Subjects:
Online Access:https://www.mdpi.com/2075-4450/16/6/626
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849431777552105472
author Jieqiong Wang
Shuangyi Wang
Yunchun Li
Shuangmei Ding
Zhonghua Wei
Aimin Shi
Ding Yang
author_facet Jieqiong Wang
Shuangyi Wang
Yunchun Li
Shuangmei Ding
Zhonghua Wei
Aimin Shi
Ding Yang
author_sort Jieqiong Wang
collection DOAJ
description <i>Luprops orientalis</i> (Motschulsky, 1868) is an economically important pest in traditional Chinese medicines, widely distributed in East Asia. However, the primary limiting factors affecting its distribution, potential suitable areas, as well as its response to global warming, remain largely unknown. Utilizing 295 filtered distribution points and 10 environmental variables (9 climate variables and 1 land cover type), this study uses the MaxEnt model to predict the potential distribution of <i>L. orientalis</i> under near-current and future environmental change scenarios. The results indicated that precipitation of the warmest quarter (bio18), temperature seasonality (bio04), and precipitation of the wettest month (bio13) were the most significant environmental variables affecting the distribution of suitable habitats for <i>L. orientalis</i>, while the contribution of average variation in daytime temperature (bio2) was the smallest. Under the near-current climate, the areas of low, moderate, and high suitability for <i>L. orientalis</i> are approximately 1.02 × 10<sup>6</sup> km<sup>2</sup>, 1.65 × 10<sup>6</sup> km<sup>2</sup>, and 8.22 × 10<sup>5</sup> km<sup>2</sup>, respectively. The suitable areas are primarily located in North China, Central China, the Korean Peninsula, and Central and Southern Japan. Under future climate conditions, the potential suitable areas are expected to expand significantly, especially in Central China. However, the high-suitability areas in North China are predicted to experience a slight reduction. With the increase in carbon emission concentrations, the suitable area shows an increasing trend in the 2050s, followed by a declining trend in the 2090s. The centroids of suitable areas will shift to the northeast in the future. These findings enhance our understanding of how climate change affects the distribution of <i>L. orientalis</i> and will assist governments in formulating effective pest control strategies, including widespread monitoring and stringent quarantine measures.
format Article
id doaj-art-8d21fd3f7db648f2ab41265cfa08ca4c
institution Kabale University
issn 2075-4450
language English
publishDate 2025-06-01
publisher MDPI AG
record_format Article
series Insects
spelling doaj-art-8d21fd3f7db648f2ab41265cfa08ca4c2025-08-20T03:27:32ZengMDPI AGInsects2075-44502025-06-0116662610.3390/insects16060626Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate ChangeJieqiong Wang0Shuangyi Wang1Yunchun Li2Shuangmei Ding3Zhonghua Wei4Aimin Shi5Ding Yang6The Key Laboratory of Southwest China Wildlife Resources Conservation of the Ministry of Education, College of Life Sciences, China West Normal University, Nanchong 637009, ChinaStudent Affairs Department, Sichuan University of Arts and Science, Dazhou 635000, ChinaThe Key Laboratory of Southwest China Wildlife Resources Conservation of the Ministry of Education, College of Life Sciences, China West Normal University, Nanchong 637009, ChinaThe Institute of Scientific and Technical Research on Archives, National Archives Administration of China, Beijing 100050, ChinaThe Key Laboratory of Southwest China Wildlife Resources Conservation of the Ministry of Education, College of Life Sciences, China West Normal University, Nanchong 637009, ChinaThe Key Laboratory of Southwest China Wildlife Resources Conservation of the Ministry of Education, College of Life Sciences, China West Normal University, Nanchong 637009, ChinaState Key Laboratory of Green Pesticides, Guizhou University, Guiyang 550025, China<i>Luprops orientalis</i> (Motschulsky, 1868) is an economically important pest in traditional Chinese medicines, widely distributed in East Asia. However, the primary limiting factors affecting its distribution, potential suitable areas, as well as its response to global warming, remain largely unknown. Utilizing 295 filtered distribution points and 10 environmental variables (9 climate variables and 1 land cover type), this study uses the MaxEnt model to predict the potential distribution of <i>L. orientalis</i> under near-current and future environmental change scenarios. The results indicated that precipitation of the warmest quarter (bio18), temperature seasonality (bio04), and precipitation of the wettest month (bio13) were the most significant environmental variables affecting the distribution of suitable habitats for <i>L. orientalis</i>, while the contribution of average variation in daytime temperature (bio2) was the smallest. Under the near-current climate, the areas of low, moderate, and high suitability for <i>L. orientalis</i> are approximately 1.02 × 10<sup>6</sup> km<sup>2</sup>, 1.65 × 10<sup>6</sup> km<sup>2</sup>, and 8.22 × 10<sup>5</sup> km<sup>2</sup>, respectively. The suitable areas are primarily located in North China, Central China, the Korean Peninsula, and Central and Southern Japan. Under future climate conditions, the potential suitable areas are expected to expand significantly, especially in Central China. However, the high-suitability areas in North China are predicted to experience a slight reduction. With the increase in carbon emission concentrations, the suitable area shows an increasing trend in the 2050s, followed by a declining trend in the 2090s. The centroids of suitable areas will shift to the northeast in the future. These findings enhance our understanding of how climate change affects the distribution of <i>L. orientalis</i> and will assist governments in formulating effective pest control strategies, including widespread monitoring and stringent quarantine measures.https://www.mdpi.com/2075-4450/16/6/626climate change<i>Luprops orientalis</i>MaxEntpestsuitable area
spellingShingle Jieqiong Wang
Shuangyi Wang
Yunchun Li
Shuangmei Ding
Zhonghua Wei
Aimin Shi
Ding Yang
Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
Insects
climate change
<i>Luprops orientalis</i>
MaxEnt
pest
suitable area
title Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
title_full Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
title_fullStr Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
title_full_unstemmed Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
title_short Distribution Pattern and Change Prediction of <i>Luprops orientalis</i> (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change
title_sort distribution pattern and change prediction of i luprops orientalis i coleoptera tenebrionidae suitable area in east asia under climate change
topic climate change
<i>Luprops orientalis</i>
MaxEnt
pest
suitable area
url https://www.mdpi.com/2075-4450/16/6/626
work_keys_str_mv AT jieqiongwang distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange
AT shuangyiwang distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange
AT yunchunli distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange
AT shuangmeiding distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange
AT zhonghuawei distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange
AT aiminshi distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange
AT dingyang distributionpatternandchangepredictionofilupropsorientalisicoleopteratenebrionidaesuitableareaineastasiaunderclimatechange