Evidence map›Paper›PMID 35186453›Full record

ArticlePeerJ2022

The shadow model: how and why small choices in spatially explicit species distribution models affect predictions.

Christian J C Commander, Lewis A K Barnett, Eric J Ward, Sean C Anderson, Timothy E Essington

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Seasonal asynchrony and harvest diversification contribute to demersal finfish fisheries stability in Chesapeake Bay.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  2. Article
  3. 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

5 authors.

Christian J C CommanderDepartment of Biological Science, Florida State University, Tallahassee, Florida, United States of America.
Lewis A K BarnettResource Assessment and Conservation Engineering Division, Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States.
Eric J WardConservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington, United States.ORCID 0000-0002-4359-0296
Sean C AndersonPacific Biological Station, Fisheries and Oceans Canada, Nanaimo, British Columbia, Canada.ORCID 0000-0001-9563-1937
Timothy E EssingtonSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of species distribution models (SDMs) has rapidly increased over the last decade, driven largely by increasing observational evidence of distributional shifts of terrestrial and aquatic populations. These models permit, for example, the quantification of range shifts, the estimation of species co-occurrence, and the association of habitat to species distribution and abundance. The increasing complexity of contemporary SDMs presents new challenges-as the choices among modeling options increase, it is essential to understand how these choices affect model outcomes. Using a combination of original analysis and literature review, we synthesize the effects of three common model choices in semi-parametric predictive process species distribution modeling: model structure, spatial extent of the data, and spatial scale of predictions. To illustrate the effects of these choices, we develop a case study centered around sablefish (

Indexed as

Conservation of Natural ResourcesFisheriesBiomassEcosystemAbundance estimationDistribution shiftRange shiftSpatiotemporal modelSpecies distribution modelTime series

Identifiers

PMID35186453
PMCPMC8852273

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.