青藏高原成人生存差异导致人口对气候变暖的不同反应

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2025-02-24 DOI:10.1002/ecy.4533
Hai-Tao Miao, Roberto Salguero-Gómez, Katriona Shea, Joseph A. Keller, Zhenhua Zhang, Jin-Sheng He, Shou-Li Li
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引用次数: 0

摘要

生物多样性保护的一个核心问题是,在气候变暖的情况下,物种能否维持可生存的种群。评估物种在气候变暖下的生存能力需要进行人口统计学研究,整合物种生命周期中对长期变暖的生命速率响应。然而,这种性质的研究很少。我们的积分投影模型(IPMs)以人口统计学数据为参数化,显示了两个功能相似的共生物种——羊草(Elymus nutans Griseb)的不同反应。和西藏旋毛虫(Roshev.)Holub,到10年的原位活跃变暖2°C。我们的IPMs估计,在环境条件下,青藏高原的预期寿命(6.7年)高于青藏高原的预期寿命(4.5年),在温暖条件下差异更大。我们发现,虽然变暖降低了这两种物种的个体水平生长,但预期寿命较长的藏红花补偿了生存的增加,从而增加了变暖下的预测种群水平生长。相比之下,预期寿命较短的棕尾猴预计在种群水平上的表现会下降。此外,我们的弹性分析表明,无论是在环境条件下还是在温暖条件下,存活率都是两个物种种群生存能力的最重要的关键比率。此外,我们的回顾性生命表响应实验(LTRE)分析表明,两种物种在变暖条件下的命运差异主要源于成虫生存响应的不同,青藏高原的成虫生存响应显著提高,而青藏高原的成虫生存响应略有降低。在变暖条件下,这两个物种的个体收缩频率是环境条件下的1.6倍,并且对变暖样地的种群增长率产生了相当大的负贡献。然而,这种负面影响在西藏藏鼠(但不包括西藏藏鼠)中被种群增长率的积极贡献所抵消。我们的研究结果表明,在相似的共生物种之间,对气候变暖的响应可能存在很大差异,具有人口补偿策略的物种可能避免种群崩溃。此外,我们的研究还证明了利用生活史特征来预测物种在面对变暖时的生存能力的潜力,从而为气候变化下的生物多样性保护提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences in adult survival drive divergent demographic responses to warming on the Tibetan Plateau

A central question in biodiversity conservation is whether species will maintain viable populations under climate warming. Assessing species viability under climate warming requires demographic studies integrating vital rate responses to long-term warming throughout species' life cycles. However, studies of this nature are rare. Our integral projection models (IPMs), parameterized with demographic data, show differing responses of two functionally similar co-occurring species, Elymus nutans Griseb. and Helictotrichon tibeticum (Roshev.) Holub, to 10 years of in situ active warming by 2°C. Our IPMs estimated that the life expectancy is higher in H. tibeticum (6.7 years) than that in E. nutans (4.5 years) under ambient conditions, and the difference is larger under warmed conditions. We found that while warming decreased individual-level growth in both species, H. tibeticum, which has a longer life expectancy, compensated with increased survival, and thereby increased projected population-level growth under warming. Contrastingly, E. nutans, which has a shorter life expectancy, is projected to have decreased population-level performance. Furthermore, our elasticity analyses show that survival is the most important vital rate for population viability in both species under both ambient and warmed conditions. Moreover, our retrospective life table response experiment (LTRE) analysis reveals that the contrasting fates of the two species under warming mainly arise from the different responses of adult survival, which is significantly promoted in H. tibeticum but slightly reduced in E. nutans. Individual shrinkage occurred 1.6 fold more frequently under warming than ambient conditions for both species and made considerable negative contributions to their population growth rates in warmed plots. However, such negative effects are offset in H. tibeticum (but not E. nutans) by the positive contribution to population growth rate of the associated increased survival. Our results illustrate that the responses to climate warming may vary considerably between similar co-occurring species, and species with a demographically compensatory strategy may avoid population collapse. Furthermore, our study demonstrates the potential of using life-history traits to predict species' viability when facing warming, so as to inform biodiversity conservation under climate change.

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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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