Causes and consequences of individual variation: Linking state-dependent life histories to population performance

IF 2.7 3区 环境科学与生态学 Q2 ECOLOGY
Ecosphere Pub Date : 2025-04-13 DOI:10.1002/ecs2.70230
Marc A. Wiseman, Kevin L. Monteith, Ryan A. Long
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Abstract

Although classic ecological models often have assumed functional equivalence among individuals in a population, ecologists now recognize that individual variation can modulate ecological processes across levels of organization. Nevertheless, current models disproportionately emphasize variation among cohorts, and considerable uncertainty remains over the mechanisms that generate within-cohort variation and the downstream consequences for population and community dynamics. State-dependent life-history theory provides a useful framework for predicting the causes and consequences of within-cohort variation. Behavioral or physiological adjustments made by individuals in response to their underlying state (e.g., energy reserves or disease status) can influence fitness and, by extension, population performance. For iteroparous animals, resource allocation by maternal females often is state dependent; however, the population-level consequences of this strategy and the mechanisms that govern them remain largely unresolved. To explore individual variation in reproductive effort and its associated outcomes, we developed and empirically parameterized a state-dependent, individual-based model of maternal resource allocation for a long-lived, iteroparous mammal, the North American elk (Cervus canadensis). Females were allowed to adjust their investment in gestation versus lactation in response to their nutritional condition in spring. We tested the prediction that females in poor condition could increase fitness by delaying parturition and increasing investment in gestation, giving birth to correspondingly larger neonates that had a greater chance of surviving their first month of life (when mortality is generally highest) and subsequently reducing investment in lactation to help rebuild somatic reserves. We predicted that population growth would be faster when resource allocation was state dependent than when gestation length was decoupled from female condition and adjustment of reproductive investment was largely post-natal. Our results supported this prediction: state-dependent resource allocation by maternal females increased population growth by an average of 4%, leading to larger population sizes after 30 years. Population growth was consistent across a range of winter severities, suggesting that state-dependent resource allocation also could help buffer populations against climatic variation. Our results reveal a potentially general mechanism underpinning intraspecific variation in life-history strategies and suggest that such variation at the individual level can influence performance outcomes at the population level.

Abstract Image

个体变异的原因和后果:将依赖状态的生活史与种群表现联系起来
虽然经典的生态模型通常假设种群中个体之间的功能等同,但生态学家现在认识到个体变异可以调节跨组织水平的生态过程。然而,目前的模型不成比例地强调群体之间的变化,在产生群体内变化的机制以及对人口和社区动态的下游后果方面仍然存在相当大的不确定性。状态依赖生活史理论为预测队列内变异的原因和后果提供了一个有用的框架。个体根据其潜在状态(如能量储备或疾病状态)做出的行为或生理调整可以影响适应度,进而影响种群表现。对于非透明动物,母性雌性的资源分配往往依赖于国家;然而,这一战略在人口层面的后果及其管理机制在很大程度上仍未得到解决。为了探索繁殖努力的个体差异及其相关结果,我们开发了一个基于状态的、基于个体的模型,并对其进行了经验参数化,该模型是针对一种长寿的跨颌哺乳动物——北美麋鹿(Cervus canada)的。雌性可以根据春季的营养状况调整妊娠和哺乳的投入。我们测试了这样一种预测,即条件较差的雌性可以通过推迟分娩和增加妊娠投入来提高健康水平,从而生下相应更大的新生儿,这些新生儿在生命的第一个月(死亡率通常最高)有更大的存活机会,随后减少哺乳投入,以帮助重建身体储备。我们预测,当资源配置依赖于状态时,人口增长速度要快于妊娠期长短与雌性条件脱钩时,生殖投资的调整主要发生在产后。我们的研究结果支持了这一预测:母系雌性依赖于国家的资源配置使人口增长率平均提高了4%,导致30年后人口规模更大。在一系列冬季严酷天气中,人口增长是一致的,这表明依赖于国家的资源分配也可以帮助缓冲人口对气候变化的影响。我们的研究结果揭示了一种潜在的普遍机制,支持生命史策略的种内变异,并表明这种个体水平的变异可以影响种群水平的表现结果。
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来源期刊
Ecosphere
Ecosphere ECOLOGY-
CiteScore
4.70
自引率
3.70%
发文量
378
审稿时长
15 weeks
期刊介绍: The scope of Ecosphere is as broad as the science of ecology itself. The journal welcomes submissions from all sub-disciplines of ecological science, as well as interdisciplinary studies relating to ecology. The journal''s goal is to provide a rapid-publication, online-only, open-access alternative to ESA''s other journals, while maintaining the rigorous standards of peer review for which ESA publications are renowned.
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