Evidence map›Paper›PMID 37664500›Full record

ArticleEcology and evolution2023

Mapping suitable habitats for globally endangered raptors in Kenya: Integrating climate factors and conservation planning.

Peggy Mutheu Ngila, David Odhiambo Chiawo, Margaret Awuor Owuor, Vivian Oliver Wasonga, Jane Wangui Mugo

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
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  5. Predictive ecological niche model forBiodiversity data journal · 2024
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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

5 authors.

Peggy Mutheu NgilaDepartment of Land Resource Management and Agricultural Technology University of Nairobi Nairobi Kenya.ORCID https://orcid.org/0000-0002-8664-8865
David Odhiambo ChiawoCenter for Biodiversity Information Development (BID-C) Strathmore University Nairobi Kenya.
Margaret Awuor OwuorSchool of Environment Water and Natural Resources South Eastern Kenya University Kitui Kenya.
Vivian Oliver WasongaDepartment of Land Resource Management and Agricultural Technology University of Nairobi Nairobi Kenya.
Jane Wangui MugoDepartment of Earth and Climate Science University of Nairobi Nairobi Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raptors face global threats like electrocution, collisions, and habitat fragmentation. Many species remain understudied, and their distribution patterns are unknown. Understanding their current and future distribution is crucial for conservation. Protecting these top predators requires knowledge of their spatial distribution and environmental influences. This study addresses knowledge gaps in raptor habitats and distributions in Kenya, considering current and future climate changes. Using species distribution models and occurrence data from the Global Biodiversity Information Facility, we evaluated suitable habitats for four endangered Kenyan raptor species: Martial eagle, Secretarybird, Bateleur, and Steppe Eagle. We assessed the impact of climatic predictors on their distribution, considering two climate change scenarios for 2020-2040. Our findings reveal that raptor distribution in Kenya is predominantly concentrated in the southwestern region, extending into the central region of the country. The most significant predictors of raptor species distribution varied for each species, with Steppe eagle and Secretarybird being highly influenced by precipitation during the warmest quarter, Martial eagle being influenced by mean temperature during the driest quarter, and Bateleur being primarily influenced by precipitation during the coldest quarter. When projecting our model into the climate change scenarios for 2020-2040, all species except the Bateleur exhibited a negative range shift. The results of our study suggest that climate change may have adverse impacts on the raptor species examined. In light of these findings, we recommend implementing targeted monitoring and conducting surveys in accordance with our current model predictions. Specifically, our focus should be on monitoring areas that exhibit the highest climate suitability, as these areas are likely to undergo significant shifts in the near future. By conducting regular monitoring and engaging in further research, we can enhance our understanding of these raptor species and gather valuable data to improve the accuracy and reliability of our model predictions.

Indexed as

raptor conservationraptorsraptors‐habitat suitabilityspecies distribution modeling

Identifiers

PMID37664500
PMCPMC10468911

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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.