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预测气候变化对表面活性的影响。

Predicted alteration of surface activity as a consequence of climate change.

机构信息

School of Environment and Natural Resources, The Ohio State University, 2021 Coffey Road, Columbus, Ohio, 43201, USA.

Conservation Ecology Center, Smithsonian Conservation Biology Institute, Front Royal, Virginia, USA.

出版信息

Ecology. 2020 Nov;101(11):e03154. doi: 10.1002/ecy.3154. Epub 2020 Sep 16.

Abstract

Wildlife are faced with numerous threats to survival, none more pressing than that of climate change. Understanding how species will respond behaviorally, physiologically, and demographically to a changing climate is a cornerstone of many contemporary ecological studies, especially for organisms, such as amphibians, whose persistence is closely tied to abiotic conditions. Activity is a useful parameter for understanding the effects of climate change because activity is directly linked to fitness as it dictates foraging times, energy budgets, and mating opportunities. However, activity can be challenging to measure directly, especially for secretive organisms like plethodontid salamanders, which only become surface active when conditions are cool and moist because of their anatomical and physiological restrictions. We estimated abiotic predictors of surface activity for the seven species of the Plethodon jordani complex. Five independent data sets collected from 2004 to 2017 were used to determine the parameters driving salamander surface activity in the present day, which were then used to predict potential activity changes over the next 80 yrs. Average active seasonal temperature and vapor pressure deficit were the strongest predictors of salamander surface activity and, without physiological or behavioral modifications, salamanders were predicted to exhibit a higher probability of surface activity during peak active season under future climate conditions. Temperatures during the active season likely do not exceed salamander thermal maxima to cause activity suppression and, until physiological limits are reached, future conditions may continue to increase activity. Our model is the first comprehensive field-based study to assess current and future surface activity probability. Our study provides insights into how a key behavior driving fitness may be affected by climate change.

摘要

野生动物面临着许多生存威胁,没有比气候变化更紧迫的了。了解物种如何在行为、生理和种群水平上对气候变化做出反应,是许多当代生态学研究的基石,特别是对于那些生存与非生物条件密切相关的生物,如两栖动物。活动是了解气候变化影响的一个有用参数,因为它直接关系到适应度,决定了觅食时间、能量预算和交配机会。然而,活动很难直接测量,特别是对于像 plethodontid 蝾螈这样的隐秘生物,由于它们的解剖学和生理学限制,只有在凉爽和潮湿的条件下才会变得活跃。我们估计了 Plethodon jordani 复合体七种物种的表面活动的非生物预测因子。使用了 2004 年至 2017 年期间收集的五个独立数据集来确定当前驱动蝾螈表面活动的参数,然后使用这些参数来预测未来 80 年内潜在的活动变化。平均活跃季节温度和蒸汽压亏缺是蝾螈表面活动的最强预测因子,如果没有生理或行为上的改变,蝾螈在未来气候条件下,在活跃季节高峰期间,表面活动的可能性更高。活跃季节的温度可能不会超过蝾螈的热极值,从而导致活动抑制,而且在达到生理极限之前,未来的条件可能会继续增加活动。我们的模型是第一个评估当前和未来表面活动概率的综合实地研究。我们的研究提供了关于如何影响适应度的关键行为可能受到气候变化影响的见解。

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