Habitat Response Variability: Modeling Predictions Display the Expansion–Contraction Scenario of Two Chinese Endangered Cheirotonus Beetles Under Climate Change

IF 2.3 2区 生物学 Q2 ECOLOGY
Hao Yu, Ya-gang Shen, Jafir Muhammad, Muzamil Abbas, Yang Cheng, Xia Wan
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Abstract

Predicting the potential adaptation zones of Cheirotonus gestroi Pouillaude and Cheirotonus jansoni Jordan under the influence of climate change is essential for understanding their geographical distribution and informing effective species conservation strategies. Species distribution models (SDMs), particularly the MaxEnt model, enable researchers to estimate habitat suitability based on current and future environmental conditions. In this study, we employed the optimized MaxEnt model in combination with ArcGIS software to predict suitable habitats under both present and future climate scenarios (2050s and 2070s), and to identify key environmental variables influencing their geographical distribution. For C. jansoni, the influential factors were temperature seasonality (bio4; 31.8%), Elevation (Elev; 28.8%), and precipitation of the driest month (bio14; 24.2%). Currently, its suitable habitats are mainly located in the southeastern part of China, including Zhejiang, Fujian, Hunan, Guizhou, Guangdong, Guangxi, Anhui, Hainan, and Taiwan. Habitat suitability for this species is projected to expand under most climate change scenarios. Conversely, the distribution of C. gestroi is primarily shaped by Isothermality (bio3; 68.4%), the Normalized Difference Vegetation Index (NDVI; 19.5%) and Temperature annual range (bio7; 11.7%). This species' suitable habitats are currently concentrated in Yunnan province in southwestern China, with a predicted contraction in habitat range under future climate conditions. The MaxEnt model predictions reveal clear differences in the ecological niches and habitat preferences of these two beetle species, indicating that C. jansoni exhibits greater environmental adaptability compared to C. gestroi. These findings offer valuable insights for developing targeted monitoring and conservation strategies for these endangered beetles in the face of ongoing climate change.

Abstract Image

生境响应变率:气候变化下两种中国濒危天牛的扩张-收缩模型预测
预测气候变化影响下黄颡鱼(cherotonus gestroi Pouillaude)和黄颡鱼(cherotonus jansoni Jordan)的潜在适应区,对于了解它们的地理分布和制定有效的物种保护策略具有重要意义。物种分布模型(SDMs),特别是MaxEnt模型,使研究人员能够根据当前和未来的环境条件估计栖息地的适宜性。本研究采用优化后的MaxEnt模型,结合ArcGIS软件对当前和未来气候情景(2050年代和2070年代)下的适宜生境进行预测,并识别影响其地理分布的关键环境变量。影响江松菌生长的主要因素为温度季节性(bio4; 31.8%)、海拔(Elev; 28.8%)和最干燥月份降水(bio14; 24.2%)。目前,其适宜栖息地主要分布在中国东南部,包括浙江、福建、湖南、贵州、广东、广西、安徽、海南和台湾。预计在大多数气候变化情景下,该物种的生境适宜性将扩大。相反,黄杉的分布主要受等温线(bio3; 68.4%)、归一化植被指数(NDVI; 19.5%)和气温年差(bio7; 11.7%)的影响。目前该树种的适宜生境主要集中在中国西南部的云南省,预计未来气候条件下生境范围将缩小。MaxEnt模型的预测结果显示,两种甲虫在生态位和生境偏好上存在明显差异,表明江松甲虫比黄花甲虫表现出更强的环境适应性。这些发现为在面临持续气候变化的情况下制定有针对性的监测和保护策略提供了有价值的见解。
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来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
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