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Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region

AIM: To document the species richness patterns of breeding birds along elevational gradients and explore its drivers in the Horn of Africa region. LOCATION: Horn of Africa region. TAXON: Breeding birds. METHODS: Distributional data for breeding birds were collected. Elevational distribution data wer...

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Autores principales: Abebe, Ahunim Fenitie, Cai, Tianlong, Wale, Melaku, Song, Gang, Fjeldså, Jon, Lei, Fumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745872/
https://www.ncbi.nlm.nih.gov/pubmed/31534679
http://dx.doi.org/10.1002/ece3.5491
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author Abebe, Ahunim Fenitie
Cai, Tianlong
Wale, Melaku
Song, Gang
Fjeldså, Jon
Lei, Fumin
author_facet Abebe, Ahunim Fenitie
Cai, Tianlong
Wale, Melaku
Song, Gang
Fjeldså, Jon
Lei, Fumin
author_sort Abebe, Ahunim Fenitie
collection PubMed
description AIM: To document the species richness patterns of breeding birds along elevational gradients and explore its drivers in the Horn of Africa region. LOCATION: Horn of Africa region. TAXON: Breeding birds. METHODS: Distributional data for breeding birds were collected. Elevational distribution data were extracted, interpolated, and assembled for all birds, passerines, and nonpasserines. In order to tease apart how different environmental factors contributed to the variation in species richness, we found it is necessary to divide the area into four subregions with different climatic regimes and topographic structure, namely western slope, eastern slope, wet side, and dry side. Then, the species richness in each 100‐m elevational band was counted along the elevational gradients of each subregion. Pearson's correlation analyses and ordinary least squares (OLS) regressions were used to examine the relationships between species richness and factors. RESULTS: The variation in species richness followed hump‐shaped patterns for all subregions, although with peak values at different elevations. The bird species groups on the western and eastern slopes showed low and high plateaus with mid‐elevation peaks, respectively, but very low species diversities at the highest elevations. Species richness was significantly correlated with temperature range and productivity in each subregion. The temperature range, area, and productivity explained 82% of the species richness variations for all birds on the western slope. MAIN CONCLUSIONS: The separate analyses of four area subdivisions provide strong indications of how various factors interact. Productivity and temperature range were the major driving factors for shaping the richness patterns, but deviations from expected patterns suggest modifying roles of mist formation zones in the valleys that deeply intersect the large highlands in the west and rich riparian vegetation where water from cool and humid environments at high elevation reaches lower elevations in the arid east. Conservation is recommended in each subregion based on the elevational richness scenarios.
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spelling pubmed-67458722019-09-18 Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region Abebe, Ahunim Fenitie Cai, Tianlong Wale, Melaku Song, Gang Fjeldså, Jon Lei, Fumin Ecol Evol Original Research AIM: To document the species richness patterns of breeding birds along elevational gradients and explore its drivers in the Horn of Africa region. LOCATION: Horn of Africa region. TAXON: Breeding birds. METHODS: Distributional data for breeding birds were collected. Elevational distribution data were extracted, interpolated, and assembled for all birds, passerines, and nonpasserines. In order to tease apart how different environmental factors contributed to the variation in species richness, we found it is necessary to divide the area into four subregions with different climatic regimes and topographic structure, namely western slope, eastern slope, wet side, and dry side. Then, the species richness in each 100‐m elevational band was counted along the elevational gradients of each subregion. Pearson's correlation analyses and ordinary least squares (OLS) regressions were used to examine the relationships between species richness and factors. RESULTS: The variation in species richness followed hump‐shaped patterns for all subregions, although with peak values at different elevations. The bird species groups on the western and eastern slopes showed low and high plateaus with mid‐elevation peaks, respectively, but very low species diversities at the highest elevations. Species richness was significantly correlated with temperature range and productivity in each subregion. The temperature range, area, and productivity explained 82% of the species richness variations for all birds on the western slope. MAIN CONCLUSIONS: The separate analyses of four area subdivisions provide strong indications of how various factors interact. Productivity and temperature range were the major driving factors for shaping the richness patterns, but deviations from expected patterns suggest modifying roles of mist formation zones in the valleys that deeply intersect the large highlands in the west and rich riparian vegetation where water from cool and humid environments at high elevation reaches lower elevations in the arid east. Conservation is recommended in each subregion based on the elevational richness scenarios. John Wiley and Sons Inc. 2019-08-05 /pmc/articles/PMC6745872/ /pubmed/31534679 http://dx.doi.org/10.1002/ece3.5491 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Abebe, Ahunim Fenitie
Cai, Tianlong
Wale, Melaku
Song, Gang
Fjeldså, Jon
Lei, Fumin
Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
title Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
title_full Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
title_fullStr Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
title_full_unstemmed Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
title_short Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
title_sort factors determining species richness patterns of breeding birds along an elevational gradient in the horn of africa region
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745872/
https://www.ncbi.nlm.nih.gov/pubmed/31534679
http://dx.doi.org/10.1002/ece3.5491
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