Pardo Deborah, Jenouvrier Stéphanie, Weimerskirch Henri, Barbraud Christophe
Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS, 79360 Villiers-en-Bois, France
British Antarctic Survey, Madingley Road High Cross, Cambridge CB3 0ET, UK.
Philos Trans R Soc Lond B Biol Sci. 2017 Jun 19;372(1723). doi: 10.1098/rstb.2016.0143.
Climate changes include concurrent changes in environmental mean, variance and extremes, and it is challenging to understand their respective impact on wild populations, especially when contrasted age-dependent responses to climate occur. We assessed how changes in mean and standard deviation of sea surface temperature (SST), frequency and magnitude of warm SST extreme climatic events (ECE) influenced the stochastic population growth rate log() and age structure of a black-browed albatross population. For changes in SST around historical levels observed since 1982, changes in standard deviation had a larger (threefold) and negative impact on log() compared to changes in mean. By contrast, the mean had a positive impact on log(). The historical SST mean was lower than the optimal SST value for which log() was maximized. Thus, a larger environmental mean increased the occurrence of SST close to this optimum that buffered the negative effect of ECE. This 'climate safety margin' (i.e. difference between optimal and historical climatic conditions) and the specific shape of the population growth rate response to climate for a species determine how ECE affect the population. For a wider range in SST, both the mean and standard deviation had negative impact on log(), with changes in the mean having a greater effect than the standard deviation. Furthermore, around SST historical levels increases in either mean or standard deviation of the SST distribution led to a younger population, with potentially important conservation implications for black-browed albatrosses.This article is part of the themed issue 'Behavioural, ecological and evolutionary responses to extreme climatic events'.
气候变化包括环境均值、方差和极端值的同时变化,要了解它们对野生种群的各自影响具有挑战性,尤其是当出现与年龄相关的气候响应差异时。我们评估了海表温度(SST)均值和标准差的变化、温暖SST极端气候事件(ECE)的频率和强度如何影响黑眉信天翁种群的随机种群增长率log()和年龄结构。对于自1982年以来观测到的围绕历史水平的SST变化,与均值变化相比,标准差变化对log()的负面影响更大(三倍)。相比之下,均值对log()有正面影响。历史SST均值低于使log()最大化的最佳SST值。因此,更大的环境均值增加了接近该最佳值的SST出现频率,从而缓冲了ECE的负面影响。这种“气候安全边际”(即最佳气候条件与历史气候条件之间的差异)以及物种的种群增长率对气候响应的特定形状决定了ECE如何影响种群。对于更广泛的SST范围,均值和标准差对log()均有负面影响,且均值变化的影响大于标准差变化。此外,在SST历史水平附近,SST分布的均值或标准差增加都会导致种群年轻化,这对黑眉信天翁的保护可能具有重要意义。本文是主题为“对极端气候事件的行为、生态和进化响应”的特刊的一部分。