Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model DOI Creative Commons
Liang Zhang,

Chaokun Yang,

Guanglin Xie

et al.

Insects, Journal Year: 2024, Volume and Issue: 15(12), P. 930 - 930

Published: Nov. 27, 2024

Effective use of species distribution models can assess the risk spreading forest pests. In this study, based on 434 occurrence records and eight environmental variables, an ensemble model was applied to identify key factors affecting Apriona rugicollis Chevrolat, 1852 predict its potential habitat relative areas change under current future climatic conditions. The results indicate that humidity, solar radiation, topography, human activities were main influencing A. rugicollis. Under climate scenario, suitable habitats are mainly concentrated in East Asia, including North Korea, South Japan, Myanmar, Vietnam, China. scenarios, area for gradually increases, especially China which at high spreading. addition, will expand northeastward higher latitudes. study provide important scientific basis policymakers formulate strategies monitoring controlling response change.

Language: Английский

Impact of climate change on the distribution of the citrus longhorned beetle Anoplophora chinensis (Coleoptera: Cerambycidae) and its host plants, Castanea mollissima and Castanea seguinii: a predictive analysis using optimized MaxEnt models DOI
Liang Zhang, Ping Wang, Guanglin Xie

et al.

Journal of Economic Entomology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Abstract The Anoplophora chinensis (Coleoptera: Cerambycidae) (Forster), a serious phytophagous pest threatening Castanea mollissima Blume and seguinii Dode, poses risks of ecological imbalance, significant economic loss, increased management difficulties if not properly controlled. This study employs optimized MaxEnt models to analyze the potential distribution areas A. its host plants under current future climate conditions, identifying their movement pathways relative dynamics. Results indicate that all achieved an average AUC value exceeding 0.86, demonstrating low complexity high predictive accuracy. key climatic variables influencing geographic include temperature moisture-related bioclimatic such as mean diurnal range, minimum temp coldest month, wettest quarter, annual precipitation, precipitation driest seasonality. Under both these 3 species are primarily distributed in southwestern regions China. Notably, suitable growth area for shows varying degrees increase. Additionally, C. exhibit trend eastward displacement response change. Overall, findings provide practical monitoring, early warning, targeted control strategies chinensis. Furthermore, results offer basis timely conservation mitigate impacts

Language: Английский

Citations

0

Assessing the Potential Distribution of Pseudoechthistatus (Coleoptera: Cerambycidae) in China Under Climate Change Using Species Distribution Models DOI Creative Commons
Liang Zhang, Ping Wang, Guanglin Xie

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

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

Language: Английский

Citations

0

Impacts of Climate Change Conditions on the Potential Distribution of Anoplophora glabripennis and Its Host Plants, Salix babylonica and Salix matsudana, in China DOI Creative Commons
Liang Zhang, Ping Wang, Guanglin Xie

et al.

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(12)

Published: Dec. 1, 2024

ABSTRACT The Anoplophora glabripennis (Motschulsky) is a phytophagous pest that seriously endangering Salix babylonica Linn. and S. matsudana Koidz. Poor control can damage local ecosystems, resulting in economic losses management risks. In the context of climate change, climatic ecological niche organisms no longer compatible with surrounding environment. To mitigate effects some respond adaptively to change through different mechanisms ways. this study, an optimized MaxEnt model was used explore potential distribution areas A. its host plants, , response current future determine their movement routes relative dynamics. results show exhibits lowest complexity excellent prediction accuracy. It important note both temperature precipitation are main environmental factors affecting suitable habitats for plants. This evidenced by mean warmest quarter wettest month being Similarly, minimum coldest seasonality primary bioclimatic variables constraining dispersal . Under declining, while expanding climates. Furthermore, three species exhibited proclivity migration higher latitudes change. conclusion, study contributes our understanding biogeographic characteristics these provides basis formulation timely conservation strategies reduce impacts great significance rational management, utilization, protection forest ecosystems China.

Language: Английский

Citations

3

Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model DOI Creative Commons
Liang Zhang,

Chaokun Yang,

Guanglin Xie

et al.

Insects, Journal Year: 2024, Volume and Issue: 15(12), P. 930 - 930

Published: Nov. 27, 2024

Effective use of species distribution models can assess the risk spreading forest pests. In this study, based on 434 occurrence records and eight environmental variables, an ensemble model was applied to identify key factors affecting Apriona rugicollis Chevrolat, 1852 predict its potential habitat relative areas change under current future climatic conditions. The results indicate that humidity, solar radiation, topography, human activities were main influencing A. rugicollis. Under climate scenario, suitable habitats are mainly concentrated in East Asia, including North Korea, South Japan, Myanmar, Vietnam, China. scenarios, area for gradually increases, especially China which at high spreading. addition, will expand northeastward higher latitudes. study provide important scientific basis policymakers formulate strategies monitoring controlling response change.

Language: Английский

Citations

1