Bhuyan Anubhav, Chetry Vivek, Devi Ashalata, Sarma Kuladip, Saikia Prasanta Kumar, Saikia Malabika Kakati, Chetry Akash
School of Sciences, Department of Environmental Science , Tezpur University, Sonitpur, Assam, India.
Animal Ecology and Wildlife Biology Laboratory, Department of Zoology, Gauhati University, Guwahati, Assam, India.
Environ Monit Assess. 2025 Jun 21;197(7):789. doi: 10.1007/s10661-025-14213-0.
In the context of changing climatic conditions, species distribution modeling emerges as a crucial tool for estimating the potential impact of climate variables on species' habitat ranges. The Eastern Himalayan region is highly susceptible and vulnerable to the impacts of climate change. However, there is limited understanding of how these climate changes affect the habitats of bird species with restricted ranges, which are vulnerable in the region. This study aims to identify the key environmental variables shaping the distribution of Alcedo hercules and to predict its potential range under current and future climatic scenarios (SSP245 and SSP585). An ensemble modeling approach, integrating MaxEnt, random forest (RF), generalized linear model (GLM), support vector machine (SVM), and multivariate adaptive regression splines (MARS), was employed using climate projections from the HadGEM3-GC31-LL global climate model. To predict the potential suitable habitats, 10 predictor variables were used to model the potential suitable habitat distribution of A. hercules. The findings revealed that under current climatic conditions, approximately 7078.17 km (2.25% of the total area) was identified as a highly suitable habitat for the A. hercules. However, future projections suggest a significant reduction in highly suitable habitat, with more than 12.95% expected to be lost by 2041-2060 under the SSP585 scenario. The ensemble model performed robustly and was found to be excellent performance based on AUC value of 0.90 and TSS value of 0.66. The top three key variables, such as the mean diurnal range (mean of monthly (max temp-min temp)), precipitation seasonality (coefficient of variation), and precipitation of the coldest quarter, emerged as dominant variables, with a total contribution rate of 52.37% to the current distribution. The habitat suitability analysis for A. hercules can offer baseline data on their current and future suitable habitat for this species. The projected reduction in suitable habitats for A. hercules under future climate scenarios highlights the urgent need for proactive conservation strategies. Habitat loss could have significant consequences for the species, potentially leading to population declines, disrupted ecological interactions, and reduced genetic diversity.
在气候条件不断变化的背景下,物种分布建模成为估算气候变量对物种栖息地范围潜在影响的关键工具。东喜马拉雅地区极易受到气候变化的影响且十分脆弱。然而,对于这些气候变化如何影响该地区范围内有限且易受影响的鸟类物种栖息地,人们的了解有限。本研究旨在确定影响斑头大翠鸟分布的关键环境变量,并预测其在当前和未来气候情景(SSP245和SSP585)下的潜在分布范围。采用了一种集成建模方法,将最大熵模型(MaxEnt)、随机森林(RF)、广义线性模型(GLM)、支持向量机(SVM)和多元自适应回归样条(MARS)相结合,利用来自HadGEM3 - GC31 - LL全球气候模型的气候预测数据。为了预测潜在的适宜栖息地,使用了10个预测变量来模拟斑头大翠鸟的潜在适宜栖息地分布。研究结果表明,在当前气候条件下,约7078.17平方公里(占总面积的2.25%)被确定为斑头大翠鸟的高度适宜栖息地。然而,未来预测显示高度适宜栖息地将显著减少,在SSP585情景下,到2041 - 2060年预计将损失超过12.95%。集成模型表现稳健,基于0.90的AUC值和0.66的TSS值,其性能优异。平均日较差(月平均(最高温度 - 最低温度))、降水季节性(变异系数)和最冷月降水量等前三个关键变量成为主导变量,对当前分布的总贡献率为52.37%。对斑头大翠鸟的栖息地适宜性分析可为该物种当前和未来的适宜栖息地提供基线数据。未来气候情景下斑头大翠鸟适宜栖息地的预计减少凸显了积极采取保护策略的迫切需求。栖息地丧失可能对该物种产生重大影响,有可能导致种群数量下降、生态相互作用中断以及遗传多样性降低。