Evidence map›Paper›PMID 41723533›Full record

ArticleFrontiers in zoology2026

Assessing the invasive risk of Rhinotermitidae in China under current and future global warming scenarios using the MaxEnt model.

Riaz Hussain, Lianxi Xing, Yuan Hua

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Article in Frontiers in zoology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Riaz HussainCollege of Life Sciences, Northwest University, Xi'an, 710069, China.
Lianxi XingCollege of Life Sciences, Northwest University, Xi'an, 710069, China. lxxing@nwu.edu.cn.
Yuan HuaCollege of Life Sciences, Northwest University, Xi'an, 710069, China. hy@nwu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiodiversity and distribution patterns are essential components for ecological and biogeographical research. The family Rhinotermitidae (sensu lato; Coptotermes and Reticulitermes) is among the most detrimental and widespread termites in China, causing severe damage to the ecosystem. However, their geographical distribution patterns and species richness hotspots are little comprehended, posing substantial challenges for successful management and control initiatives. After cleaning, along with bioclimatic variables, we uploaded 215 occurrence records for Coptotermes and 184 for Reticulitermes to the MaxEnt model to forecast their risk habitats during the Current (1970-2000) period and under prospective global warming scenarios.

resultsWe found that Coptotermes are mainly distributed in southern China, while Reticulitermes are primarily found in southern China and the Qinling Mountains. The hotspots of Coptotermes are primarily located in Guangdong Province, while those of Reticulitermes are located in Hubei and Guangdong Provinces. Annual mean temperature (Bio1; 73.2%) is mainly responsible for the distribution of Coptotermes in China, while mean diurnal range (Bio2; 31%) and precipitation of driest quarter (Bio17; 31.4%) are mainly affecting the distribution of Reticulitermes. The MaxEnt model exhibited outstanding performance for Coptotermes (AUC 0.955; TSS 0.808) and Reticulitermes (AUC 0.944; TSS 0.732). Under climate scenarios from 1970 to 2000, the total risk areas of Coptotermes and Reticulitermes were 0.73 million km

conclusionsThis research enhances our knowledge about the present geographic distribution and species richness hotspots of Coptotermes and Reticulitermes in China and the potential impact of future global warming on their distribution and shift towards novel habitats in southern and northern China. Therefore, this study aids in the implementation of control and early prevention strategies in high-risk regions.

Indexed as

Climate changeControlCoptotermesDistribution patternMaxEnt modelReticulitermes

Identifiers

PMID41723533
PMCPMC13032235

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