Evidence map›Paper›PMID 38681180›Full record

ArticleEcology and evolution2024

Potential impacts of climate change on the geographic distribution of

Fariba Noedoost, Maryam Behroozian, Sahar Karami, Mohammad Reza Joharchi

Abstract read
PubMed Full text at PMC Publisher
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 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. 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

4 authors.

Fariba NoedoostDepartment of Biology, Faculty of Science Behbahan Khatam Alanbia University of Technology Behbahan Khuzestan Iran.
Maryam BehroozianHerbarium FUMH Ferdowsi University of Mashhad Mashhad Iran.ORCID https://orcid.org/0000-0002-4397-5364
Sahar KaramiQuantitative Plant Ecology and Biodiversity Research Lab, Department of Biology, Faculty of Science Ferdowsi University of Mashhad Mashhad Iran.
Mohammad Reza JoharchiHerbarium FUMH Ferdowsi University of Mashhad Mashhad Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is considered to rank among the most important global issues affecting species' geographic distributions and biodiversity. Understanding effects of climate change on species can enhance conservation efficacy. In this study, we applied ecological niche modeling (ENM) using maximum entropy (MaxEnt) approaches to predict the potential geographic distribution of

Indexed as

Achillea eriophoraclimate changeendemichabitat suitabilityMaxEnt modelMedicinal species

Identifiers

PMID38681180
PMCPMC11045919

What OpenQuestion holds

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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.