全球变化情景下极端环境下的进化生态生理学。

IF 2.5 3区 环境科学与生态学 Q2 BIODIVERSITY CONSERVATION
Conservation Physiology Pub Date : 2025-08-11 eCollection Date: 2025-01-01 DOI:10.1093/conphys/coaf059
Pablo Burraco, Lucy Hawkes, Natalie Pilakouta, Frédéric Angelier, Kristien I Brans, Germán Orizaola
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引用次数: 0

摘要

随着野生动物越来越多地面临远远超出正常范围的环境条件,了解这种极端情况背后的生态和进化动力学对动物保护至关重要。在这里,我们讨论了野生动物应对极端条件的生态生理独特性。我们首先讨论可以被认为是“极端”的情景的条件。这包括区分自然和人为干扰的性质,考虑其强度等方面,以及对物种生物学和进化历史的理解。为了说明野生动物对极端条件反应的多样性,我们重点介绍了五个不同的代表性研究案例(其中两个是自然原因,三个是人为原因):高海拔地区的鸟类、地热栖息地的鱼类、农药残留农田中的鸟类、城市池塘中的无脊椎动物和放射性区的两栖动物。这些例子说明了野生动物对极端因素的不同生理和生态反应,强调了不同情景下野生动物适应的复杂性。然而,它们也揭示了关于极端环境反应的长期影响以及这些过程背后的机制基础的重大知识缺口。理想情况下,未来的研究应包括利用个体、种群或物种健康或适应性的有效生理标记的长期方法。这些信息可以被整合到像物种分布模型(SDMs)这样的机制模型中,以预测物种的地理分布和未来极端情景的影响。这种全面和综合的生理方法将增强我们对物种和种群恢复力的理解,并将有助于识别脆弱种群,最终改善管理策略。通过优先考虑这些研究工作,我们将更好地预测环境变化对野生动物健康的影响,从而改进生物多样性保护策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary ecophysiology in extreme environments under a global change scenario.

As wildlife increasingly has to face levels of environmental conditions that go far beyond normal ranges, understanding the ecological and evolutionary dynamics behind such extreme scenarios becomes essential for animal conservation. Here, we discuss the eco-physiological singularities of wildlife coping with extreme conditions. We first discuss the conditions under which scenarios can be considered 'extreme'. This includes distinguishing the nature of natural and anthropogenic disturbances, considering aspects such as their intensities, as well as the understanding of species biology and evolutionary history. To exemplify the diversity of wildlife responses to extreme conditions, we highlight five different representative study cases (two with natural causes, three of anthropogenic origin): birds at high altitude, fish in geothermal habitats, birds in pesticide-laden farmlands, invertebrates in urban ponds, and amphibians in radioactive zones. These examples illustrate the diverse physiological and ecological responses to extreme factors, emphasizing the complexity of wildlife adaptation under different scenarios. However, they also reveal significant knowledge gaps regarding long-term effects of responses to extreme environments, and the mechanistic basis behind these processes. Future research should ideally include long-term approaches making use of validated physiological markers of individual, population or species health or fitness. This information could be then incorporated into mechanistic models like Species Distribution Models (SDMs) to predict species geographic occurrence and the impact of future extreme scenarios. Such holistic and integrative physiological approaches will enhance our understanding of species and population resilience, and will facilitate the identification of vulnerable populations, ultimately improving management strategies. By prioritizing these research efforts, we will better anticipate the impacts of environmental changes on wildlife health, and thus improve biodiversity conservation strategies.

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来源期刊
Conservation Physiology
Conservation Physiology Environmental Science-Management, Monitoring, Policy and Law
CiteScore
5.10
自引率
3.70%
发文量
71
审稿时长
11 weeks
期刊介绍: Conservation Physiology is an online only, fully open access journal published on behalf of the Society for Experimental Biology. Biodiversity across the globe faces a growing number of threats associated with human activities. Conservation Physiology will publish research on all taxa (microbes, plants and animals) focused on understanding and predicting how organisms, populations, ecosystems and natural resources respond to environmental change and stressors. Physiology is considered in the broadest possible terms to include functional and mechanistic responses at all scales. We also welcome research towards developing and refining strategies to rebuild populations, restore ecosystems, inform conservation policy, and manage living resources. We define conservation physiology broadly and encourage potential authors to contact the editorial team if they have any questions regarding the remit of the journal.
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