Evidence map›Paper›PMID 40908652›Full record

ArticleEcology2025

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

Doug P Armstrong, Matthew G Keevil, Patrick D Moldowan, Njal Rollinson, Jacqueline D Litzgus, Ronald J Brooks

Abstract read
In one paragraph

Article in Ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Doug P ArmstrongWildlife Ecology Group, Massey University, Palmerston North, New Zealand.ORCID https://orcid.org/0000-0003-0163-3435
Matthew G KeevilSchool of Natural Sciences, Laurentian University, Sudbury, Ontario, Canada.ORCID https://orcid.org/0000-0003-4596-1879
Patrick D MoldowanDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0003-2852-794X
Njal RollinsonDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Jacqueline D LitzgusSchool of Natural Sciences, Laurentian University, Sudbury, Ontario, Canada.
Ronald J Brooks *Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.

Funding

Ministère de l'Environnement, de la Protection de la nature et des ParcsMinistry of Natural ResourcesNatural Sciences and Engineering Research Council of Canada 311994Natural Sciences and Engineering Research Council of Canada A5990
6 · The paper itself

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.

Indexed as

TurtlesAnimalsFemaleLongevityModels, BiologicalPopulation DynamicsReproductionBayesian hierarchical modelingdata augmentationindeterminate growthindividual heterogeneityJolly–Seber modellong‐lived ectothermspopulation modelingvon Bertalanffy growth model

Identifiers

PMID40908652
PMCPMC12411754

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.