Is individual heterogeneity in growth rates relevant to population dynamics of long-lived reptiles?

IF 4.3 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2025-09-04 DOI:10.1002/ecy.70185
Doug P. Armstrong, Matthew G. Keevil, Patrick D. Moldowan, Njal Rollinson, Jacqueline D. Litzgus, Ronald J. Brooks
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Abstract

Many populations show pronounced individual heterogeneity in traits such as somatic growth rates, but the relevance of this heterogeneity to population dynamics remains unclear. Individual heterogeneity may be particularly relevant to long-lived organisms for which vital rates (survival and reproduction) increase with adult growth, as subtle differences in growth rates can have major fitness consequences. Previous analysis of data for snapping turtles (Chelydra serpentina) in Algonquin Park, Canada, from 1972 to 2012 showed that individual heterogeneity in growth rates and size-specific reproductive rates of adult females led to eightfold variation in lifetime reproductive output. Here, we test whether this individual heterogeneity affects population dynamics by comparing projections from alternative integrated population models (IPMs) where: (1) vital rates of adult females increase with size and there is individual heterogeneity in their adult growth and reproduction parameters as well as their ages at maturity; (2) vital rates increase with size but there is no individual heterogeneity; or (3) vital rates are assumed equal among adult females. The three IPMs all integrated component models for growth, reproduction, and survival, incorporated random annual variation in rates, and used data augmentation to model unobserved individuals including future recruits. The data augmentation approach allowed the individual heterogeneity in parameters to be extrapolated from observed to unobserved individuals under Model 1. Models 1 and 2 produced similar annual estimates of recruitment, mortality, and abundance from 1972 to 2012 and similar projections for the next 10 years. Those projections had wide prediction intervals (5% increase to 73% decline) due to annual variation in rates but were consistent with the 59% decline estimated based on new data collected from 2012 to 2022. The projected decline reflected predicted decreases in survival and recruitment due to a decrease in the average body size of adult females. Consequently, Model 3 gave more optimistic projections that were inconsistent with the observed decline. The results therefore showed that the size composition of adult females, and therefore their overall somatic growth rate, was important to the dynamics of the population. However, the results also indicated that the pronounced individual heterogeneity in growth rates observed was irrelevant to population dynamics.

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生长速率的个体异质性是否与长寿爬行动物的种群动态有关?
许多种群在体细胞生长速率等性状上表现出明显的个体异质性,但这种异质性与种群动态的相关性尚不清楚。个体异质性可能与寿命较长的生物体特别相关,这些生物体的生命率(存活率和繁殖率)随着成年生长而增加,因为生长速率的细微差异可能会产生重大的适应性后果。此前对加拿大阿尔冈昆公园(Algonquin Park)鳄龟(Chelydra serpentina) 1972年至2012年数据的分析表明,成年雌性鳄龟的生长速度和特定尺寸繁殖率的个体异质性导致其终生繁殖量的差异达到8倍。在此,我们通过比较不同综合种群模型(IPMs)的预测结果来检验这种个体异质性是否影响种群动态,其中:(1)成年雌性的生命率随着体型的增加而增加,它们的成年生长和繁殖参数以及成熟年龄存在个体异质性;(2)种群活力随大小而增加,但不存在个体异质性;或者(3)假设成年女性的生命率相等。这三种ipm都集成了生长、繁殖和生存的组成模型,纳入了随机的年变化率,并使用数据增强来模拟未观察到的个体,包括未来的新兵。在模型1下,数据增强方法允许从观察到未观察的个体外推参数的个体异质性。模型1和模型2对1972年至2012年期间的年生源、死亡率和丰度进行了类似的估计,并对未来10年进行了类似的预测。由于每年的速率变化,这些预测具有较宽的预测区间(增加5%至下降73%),但与基于2012年至2022年收集的新数据估计的下降59%一致。预测的下降反映了由于成年雌性平均体型的减少而导致的生存和招募的减少。因此,模型3给出了与观测到的下降不一致的更乐观的预测。结果表明,雌成虫的体型组成及其整体体生长速率对种群动态具有重要意义。然而,结果也表明,生长速率的显著个体异质性与种群动态无关。
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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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