Evidence map›Paper›PMID 35342592›Full record

ArticleEcology and evolution2022

Building integral projection models with nonindependent vital rates.

Yik Leung Fung, Ken Newman, Ruth King, Perry de Valpine

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Plasticity in climate change responses.Biological reviews of the Cambridge Philosophical Society · 2025
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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

4 authors.

Yik Leung FungSchool of Mathematics University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0002-4677-6256
Ken NewmanSchool of Mathematics University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0003-1734-5833
Ruth KingSchool of Mathematics University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0002-5174-8727
Perry de ValpineDepartment of Environmental Science, Policy and Management University of California Berkeley California USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population dynamics are functions of several demographic processes including survival, reproduction, somatic growth, and maturation. The rates or probabilities for these processes can vary by time, by location, and by individual. These processes can co-vary and interact to varying degrees, e.g., an animal can only reproduce when it is in a particular maturation state. Population dynamics models that treat the processes as independent may yield somewhat biased or imprecise parameter estimates, as well as predictions of population abundances or densities. However, commonly used integral projection models (IPMs) typically assume independence across these demographic processes. We examine several approaches for modelling between process dependence in IPMs and include cases where the processes co-vary as a function of time (temporal variation), co-vary within each individual (individual heterogeneity), and combinations of these (temporal variation and individual heterogeneity). We compare our methods to conventional IPMs, which treat vital rates independent, using simulations and a case study of Soay sheep (

Indexed as

copula modelscorrelated vital ratesgeneralized linear mixed modelspopulation growth ratereproduction investmentSoay sheep

Identifiers

PMID35342592
PMCPMC8935301

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.