Evidence map›Paper›PMID 37881225›Full record

ArticleEcology and evolution2023

Lisa Bald, Jannis Gottwald, Dirk Zeuss

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Spatial distribution dynamics forEcology and evolution · 2024
    Article
  7. Ecology and evolution · 2023
    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

3 authors.

Lisa BaldDepartment of Geography, Environmental Informatics Philipps-University Marburg Marburg Germany.ORCID https://orcid.org/0000-0002-3170-7856
Jannis GottwaldDepartment of Geography, Environmental Informatics Philipps-University Marburg Marburg Germany.ORCID https://orcid.org/0000-0001-7763-1415
Dirk ZeussDepartment of Geography, Environmental Informatics Philipps-University Marburg Marburg Germany.ORCID https://orcid.org/0000-0001-6457-2866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional practices in species distribution modeling lack predictive power when the spatial structure of data is not taken into account. However, choosing a modeling approach that accounts for overfitting during model training can improve predictive performance on spatially separated test data, leading to more reliable models. This study introduces

Indexed as

Maxentmodel tuningNCEAS datasetopen‐source softwarespatial validationspecies distribution modeling

Identifiers

PMID37881225
PMCPMC10594137

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.