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Cumulative adversity and survival in the wild
Ecology Letters ( IF 7.6 ) Pub Date : 2024-08-14 , DOI: 10.1111/ele.14485
Xochitl Ortiz-Ross 1, 2 , Daniel T Blumstein 1, 2
Affiliation  

Protecting populations contending with co‐occurring stressors requires a better understanding of how multiple early‐life stressors affect the fitness of natural systems. However, the complexity of such research has limited its advancement and prevented us from answering new questions. In human studies, cumulative risk models predict adult health risk based on early adversity exposure. We apply a similar framework in wild yellow‐bellied marmots (Marmota flaviventer). We tested cumulative adversity indices (CAIs) across different adversity types and time windows. All CAIs were associated with decreased pup survival and were well supported. Moderate and acute, but not standardized CAIs were associated with decreased lifespan, supporting the cumulative stress hypothesis and the endurance of early adversity. Multivariate models showed that differences in lifespan were driven by weaning date, precipitation, and maternal loss, but they performed poorly compared with CAI models. We highlight the development, utility, and insights of CAI approaches for ecology and conservation.

中文翻译:


累积的逆境和野外生存



保护与同时发生的压力源作斗争的人群需要更好地了解多种早期压力源如何影响自然系统的适应性。然而,此类研究的复杂性限制了其进展并阻止我们回答新问题。在人类研究中,累积风险模型根据早期逆境暴露来预测成人健康风险。我们在野生黄腹土拨鼠中应用了类似的框架(黄氏旱獭)。我们测试了不同逆境类型和时间窗口的累积逆境指数(CAI)。所有 CAI 都与幼崽存活率下降有关,并且得到了充分的支持。中度和急性但非标准化的 CAI 与寿命缩短相关,支持累积压力假说和早期逆境的耐受力。多变量模型显示,寿命差异是由断奶日期、降水量和产妇流失引起的,但与 CAI 模型相比,它们的表现较差。我们重点介绍 CAI 生态和保护方法的发展、实用性和见解。
更新日期:2024-08-14
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