Evidence map›Paper›PMID 39650540›Full record

ArticleEcology and evolution2024

Niche Distribution Pattern of Rüppell's Vulture (

Purity Chepkirui, David Chiawo, Jumbe James, Simbauni Jemimah, Elizabeth Ellwood, Jane Mugo, Peggy Mutheu Ngila

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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.

Purity ChepkiruiDepartment of Zoological Sciences Kenyatta University Nairobi Kenya.ORCID https://orcid.org/0009-0001-6394-9577
David ChiawoCentre for Biodiversity Information Development (BID-C) Strathmore University Nairobi Kenya.
Jumbe JamesDepartment of Zoological Sciences Kenyatta University Nairobi Kenya.
Simbauni JemimahDepartment of Zoological Sciences Kenyatta University Nairobi Kenya.
Elizabeth EllwoodIDigBio University of Florida Gainesville Florida USA.
Jane MugoDepartment of Earth and Climate Science University of Nairobi Nairobi Kenya.
Peggy Mutheu NgilaCentre for Biodiversity Information Development (BID-C) Strathmore University Nairobi Kenya.ORCID https://orcid.org/0000-0002-8664-8865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rüppell's vultures are critically endangered, primarily due to anthropogenic activities such as habitat degradation, climate change, and intentional and unintentional poisoning, which have led to the loss of nesting and breeding sites. To aid in the conservation and protection of these species, habitat evaluation and niche mapping are crucial. Species distribution modeling (SDM) is a valuable tool in conservation planning, providing insights into the ecological requirements of species under conservation concerns. This study employed an ensembling modeling approach to assess the habitat suitability and distribution of Rüppell's vultures across Kenya. We utilized four algorithms; Gradient Boosting Machine, Generalized Linear Model, Generalized Additive Model, and Random Forest. Data on Rüppell's vultures were sourced from the Global Biodiversity Information Facility, while key environmental variables influencing the species' distribution were obtained from WorldClim. The resultant species distribution map was overlaid with a conservation area map to evaluate the overlap between suitable habitats and existing protected areas. Our analysis identified suitable habitats in regions such as the Masai Mara Game Reserve, Mount Kenya National Park, Nairobi National Park, Tsavo East National Park, and Hell's Gate National Park, with the majority of these habitats located outside protected areas, except those within Hell's Gate National Park. Precipitation and elevation emerged as the primary environmental predictors of the distribution of Rüppell's vultures. Based on these findings, we recommend establishing vulture sanctuaries in suitable habitats and hotspots to enhance the conservation of Rüppell's vultures outside the protected areas.

Indexed as

critically endangered specieshabitat suitabilityRüppell's vulturesspecies distribution modeling

Identifiers

PMID39650540
PMCPMC11621865

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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.