Evidence map›Paper›PMID 39445180›Full record

ArticleEcology and evolution2024

Evaluating species distribution model predictions through time against paleozoological records.

Ignacio A Lazagabaster, Chris D Thomas, Juliet V Spedding, Salima Ikram, Irene Solano-Regadera, Steven Snape, Jakob Bro-Jørgensen

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. 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. Article
  2. Article
  3. Predicting Range Shifts of FivePlants (Basel, Switzerland) · 2025
    Article
  4. 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

7 authors.

Ignacio A LazagabasterDepartment of Evolution, Ecology and Behaviour University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0001-9149-7371
Chris D ThomasLeverhulme Centre for Anthropocene Biodiversity, Department of Biology University of York York UK.
Juliet V SpeddingDepartment of Archaeology, Classics and Egyptology University of Liverpool Liverpool UK.
Salima IkramDepartment of Sociology, Egyptology and Anthropology The American University in Cairo New Cairo Egypt.
Irene Solano-RegaderaDepartment of Evolution, Ecology and Behaviour University of Liverpool Liverpool UK.
Steven SnapeDepartment of Archaeology, Classics and Egyptology University of Liverpool Liverpool UK.
Jakob Bro-JørgensenDepartment of Evolution, Ecology and Behaviour University of Liverpool Liverpool UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species distribution models (SDMs) are widely used to project how species distributions may vary over time, particularly in response climate change. Although the fit of such models to current distributions is regularly enumerated, SDMs are rarely tested across longer time spans to gauge their actual performance under environmental change. Here, we utilise paleozoological presence/absence records to independently assess the predictive accuracy of SDMs through time. To illustrate the approach, we focused on modelling the Holocene distribution of the hartebeest,

Indexed as

accuracyhartebeestHolocenemodel evaluationpastSDMsensitivitytrue skill statistic

Identifiers

PMID39445180
PMCPMC11496045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.