气候变化对一种高海拔专业鸟类的影响因地形复杂而得到缓解

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Mohammad Reza Ashrafzadeh , Marzieh Moradi , Rasoul Khosravi , Ali Asghar Naghipour , Dan Chamberlain
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引用次数: 0

摘要

据预测,气候变化将导致物种分布的海拔和纬度变化。在不同的分类群中,高海拔专业物种由于追踪其生态位的能力有限,可能会受到气候变化的最大影响。尽管在预测气候变化对山区物种分布范围收缩/扩大的影响方面已经开展了大量工作,但一个重要但却相当被忽视的问题是在物种分布模型(SDM)预测中考虑非气候数据的影响。里海雪鸡(Tetraogallus caspius)是一种鲜为人知的高海拔专门物种,我们评估了将非气候数据纳入基于气候的物种分布模型会在多大程度上改变里海雪鸡对气候变化的预测脆弱性。我们首先使用以下方法优化了当前物种分布的 MaxEnt 模型:(1) 仅使用气候变量;(2) 同时使用气候和非气候数据。然后,我们将优化后的模型预测到不同气候情景下的两个未来时段。最后,我们计算了物种的平均海拔高度、分布范围下限和上限的差异。我们预测,随着气候条件的变化,里海雪鸡的分布将在未来50年内发生显著的海拔和纬度变化,并将面临适宜栖息地的急剧减少。将非气候数据纳入模型可提高模型性能,并减少对未来气候情景下栖息地丧失的预测。在该模型中,地形粗糙度是最重要的预测因素,这表明更复杂的地形将在未来为该物种保留有利的微气候。因此,研究结果凸显了将地形变量纳入基于气候的可持续发展模型的重要性。我们的研究结果可以指导生物多样性管理者确定保护区的优先次序,并采取积极措施减轻气候变化的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of climate change on a high elevation specialist bird are ameliorated by terrain complexity
Climate change is predicted to result in elevational and latitudinal shifts in species distributions. Among different taxa, high-elevation specialist species are likely to suffer the greatest impact from climate change due to the limited ability to track their niches. Although much work has been undertaken on predicting the effects of climate change on the range contraction/expansion of mountain species, one important but fairly neglected issue is to consider the impacts of non-climate data in the projections of Species Distribution Models (SDMs). We evaluated the degree to which incorporating non-climatic data into climate-based SDMs would change the predicted vulnerability of the Caspian Snowcock (Tetraogallus caspius), a poorly known high-elevation specialist species, to climate change. We first optimized the MaxEnt model for the current species distribution using: (1) only climatic variables; and, (2) both climatic and non-climatic data. We then projected the optimized model for two future time periods under different climate scenarios. Finally, we calculated differences in the mean elevation and lower and upper range limits for the species. We predicted that with changing climatic conditions, Caspian Snowcock will undergo significant elevational and some latitudinal shifts in its distribution and will face a drastic decrease in suitable habitat in the next 50 years. Including non-climatic data in the models increased model performance and resulted in reduced predictions of habitat loss under future climate scenarios. Terrain roughness was the most important predictor in this model, suggesting that more complex topography will retain favourable microclimates for the species in the future. The results thus highlight the importance of including topographic variables in climate-based SDMs. Our findings can guide biodiversity managers in prioritizing protected areas and adopting proactive measures to mitigate the negative impacts of climate change.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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