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

breeding birds climate elevational gradients horn of Africa mountain productivity species richness

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 13 03 2019
revised: 11 06 2019
accepted: 04 07 2019
entrez: 20 9 2019
pubmed: 20 9 2019
medline: 20 9 2019
Statut: epublish

Résumé

To document the species richness patterns of breeding birds along elevational gradients and explore its drivers in the Horn of Africa region. Horn of Africa region. Breeding birds. 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. 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. 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.

Identifiants

pubmed: 31534679
doi: 10.1002/ece3.5491
pii: ECE35491
pmc: PMC6745872
doi:

Banques de données

Dryad
['10.5061/dryad.h3tj5mc']

Types de publication

Journal Article

Langues

eng

Pagination

9609-9623

Déclaration de conflit d'intérêts

We have no conflict of interests.

Références

Proc Natl Acad Sci U S A. 2013 Apr 23;110(17):6907-12
pubmed: 23569231
Ecology. 2011 Apr;92(4):797-804
pubmed: 21661542
Science. 2000 Jul 14;289(5477):284-8
pubmed: 10894773
Proc Natl Acad Sci U S A. 2005 Mar 22;102(12):4393-6
pubmed: 15753284
Sci Data. 2017 Sep 05;4:170122
pubmed: 28872642
Conserv Biol. 2008 Feb;22(1):140-50
pubmed: 18254859
Proc Natl Acad Sci U S A. 2012 Oct 2;109(40):16083-8
pubmed: 22988086
Ecol Lett. 2013 Sep;16(9):1135-44
pubmed: 23802805
Proc Natl Acad Sci U S A. 2018 Jun 5;115(23):6004-6009
pubmed: 29784825
Ecology. 2006 Aug;87(8):1896-906
pubmed: 16937626
Am Nat. 1998 Oct;152(4):510-29
pubmed: 18811361
Nature. 2018 Mar 8;555(7695):246-250
pubmed: 29466335
Oecologia. 2016 May;181(1):225-33
pubmed: 26801494
Ecology. 2007 Jan;88(1):76-86
pubmed: 17489456
PeerJ. 2016 Nov 2;4:e2636
pubmed: 27833806
Am Nat. 1997 May;149(5):875-902
pubmed: 18811253
PLoS One. 2011;6(5):e19817
pubmed: 21611199
Nature. 2000 Feb 24;403(6772):853-8
pubmed: 10706275
Ecol Evol. 2019 Aug 05;9(17):9609-9623
pubmed: 31534679

Auteurs

Ahunim Fenitie Abebe (AF)

Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology Chinese Academy of Sciences Beijing China.
Department of Biology, Faculty of Natural and Computational Sciences Assosa University Assosa Ethiopia.
University of Chinese Academy of Sciences Beijing China.

Tianlong Cai (T)

Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology Chinese Academy of Sciences Beijing China.
University of Chinese Academy of Sciences Beijing China.

Melaku Wale (M)

College of Sciences Bahir Dar University Ethiopia.

Gang Song (G)

Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology Chinese Academy of Sciences Beijing China.

Jon Fjeldså (J)

Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark.

Fumin Lei (F)

Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology Chinese Academy of Sciences Beijing China.
University of Chinese Academy of Sciences Beijing China.
Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China.

Classifications MeSH