Institute of Zoology, Zoological Society of London, London, UK.
Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, Division of Biosciences, University College London, London, UK.
Glob Chang Biol. 2023 Nov;29(21):6002-6017. doi: 10.1111/gcb.16890. Epub 2023 Aug 22.
It has been suggested that animals may have evolved cooperative breeding strategies in response to extreme climatic conditions. Climate change, however, may push species beyond their ability to cope with extreme climates, and reduce the group sizes in cooperatively breeding species to a point where populations are no longer viable. Predicting the impact of future climates on these species is challenging as modelling the impact of climate change on their population dynamics requires information on both group- and individual-level responses to climatic conditions. Using a single-sex individual-based model incorporating demographic responses to ambient temperature in an endangered species, the African wild dog Lycaon pictus, we show that there is a threshold temperature above which populations of the species are predicted to collapse. For simulated populations with carrying capacities equivalent to the median size of real-world populations (nine packs), extinction risk increases once temperatures exceed those predicted in the best-case climate warming scenario (Representative Concentration Pathway [RCP] 2.6). The threshold is higher (between RCP 4.5 and RCP 6.0) for larger simulated populations (30 packs), but 84% of real-world populations number <30 packs. Simulated populations collapsed because, at high ambient temperatures, juvenile survival was so low that packs were no longer recruiting enough individuals to persist, leading them to die out. This work highlights the importance of social dynamics in determining impacts of climatic variables on social species, and the critical role that recruitment can play in driving population-level impacts of climate change. Population models parameterised on long-term data are essential for predicting future population viability under climate change.
有人认为,动物可能是为了应对极端气候条件而进化出了合作繁殖策略。然而,气候变化可能会使物种超出其应对极端气候的能力,并将合作繁殖物种的群体规模减少到种群不再可行的程度。预测未来气候对这些物种的影响具有挑战性,因为要对气候变化对其种群动态的影响进行建模,就需要了解群体和个体对气候条件的反应信息。我们使用一个基于单一性别的个体模型,该模型包含对濒危物种非洲野犬 Lycaon pictus 周围温度的人口统计反应,表明存在一个种群预测崩溃的阈值温度。对于具有与现实世界种群中位数大小相当的承载能力的模拟种群(九个群体),一旦温度超过最佳气候变暖情景(代表性浓度路径 [RCP] 2.6)所预测的温度,灭绝风险就会增加。对于较大的模拟种群(30 个群体),阈值更高(在 RCP 4.5 和 RCP 6.0 之间),但 84%的现实世界种群数量<30 个群体。模拟种群崩溃是因为在环境温度较高的情况下,幼崽的存活率非常低,以至于群体不再招募足够的个体来维持生存,从而导致它们灭绝。这项工作强调了社会动态在确定气候变量对社会物种的影响方面的重要性,以及招募在推动气候变化对人口水平的影响方面的关键作用。基于长期数据的种群模型对于预测未来气候变化下的种群生存能力至关重要。