Evidence map›Paper›PMID 41768605›Full record

ArticleBiodiversity data journal2026

Predicting current and future distributions of bird species in South Africa's arid Northern Cape under climate change scenarios: are biomes being crossed?

Minoli Appalasamy, Fatima Parker-Allie, Douglas M Harebottle

Abstract read
In one paragraph

Article in Biodiversity data journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minoli AppalasamySol Plaatje University and South African National Biodiversity Institute, Kimberley, Cape Town, South Africa Sol Plaatje University and South African National Biodiversity Institute Kimberley, Cape Town South Africa.
Fatima Parker-AllieSouth African National Biodiversity Institute, Cape Town, South Africa South African National Biodiversity Institute Cape Town South Africa.ORCID https://orcid.org/0000-0002-0004-9504
Douglas M HarebottleSol Plaatje University, Kimberley, South Africa Sol Plaatje University Kimberley South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change involves rising temperatures and altered precipitation patterns which lead to the contraction, expansion or shift in the ranges of biodiversity. This study employed MaxEnt to predict current and future distributions of three bird species native to South Africa and one invasive species. Future scenarios were modelled for 2050 and 2070 using three pathways: SSP1-2.6, SSP2-4.5 and SSP5-8.5 and four bioclimatic variables. The models showed good performance, with AUC values above 0.7, indicating high predictive accuracy. Comparisons between current ranges and future predictions show species, such as

Indexed as

biomesbirdsclimatedistributionsMaxEntscenariosSouth Africaspecies distribution modelling

Identifiers

PMID41768605
PMCPMC12949411

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.