Patterns of species richness and turnover in endemic amphibians of the Guineo‐Congolian rain forest

Author:

Nneji Lotanna M.12ORCID,Azevedo Josué A. R.34ORCID,Oyebanji Oyetola O.5ORCID,Ma Liang6ORCID,Elsen Paul R.7ORCID,Oladipo Segun O.8ORCID,Salako Gabriel910ORCID,Puschendorf Robert11ORCID,Pringle Robert M.1ORCID

Affiliation:

1. Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey USA

2. Kunming College of Life Science University of Chinese Academy of Sciences Beijing China

3. Gothenburg Global Biodiversity Centre Göteborg Sweden

4. Programa de Coleções Científicas Biológicas, Coordenação de Biodiversidade Instituto Nacional de Pesquisas da Amazônia Manaus Brazil

5. Kunming Institute of Botany Chinese Academy of Sciences Kunming China

6. Princeton School of Public and International Affairs Princeton University Princeton New Jersey USA

7. Wildlife Conservation Society Global Conservation Program Bronx New York USA

8. Department of Zoology Kwara State University Nigeria

9. Department of Environmental Management and Toxicology Kwara State University Nigeria

10. Department of Soil Zoology Senckenberg Museum of Natural History Görlitz Germany

11. School of Biological and Marine Sciences University of Plymouth Plymouth UK

Abstract

AbstractAimThe African Guineo‐Congolian (GC) region is a global biodiversity hotspot with high species endemism, bioclimatic heterogeneity, complex landscape features, and multiple biogeographic barriers. Bioclimatic and geographic variables influence global patterns of species richness and endemism, but their relative importance varies across taxa and regions and is poorly understood for many faunas. Here, we test the hypothesis that turnover in endemic amphibians of the GC biodiversity hotspot is influenced mainly by the geographic distance between grid cells and secondarily by rainfall‐ and temperature‐related variables.LocationWest and Central Africa.Major Taxa StudiedAmphibians.MethodsWe compiled species‐occurrence records via field sampling, online databases, and taxonomic literature. Our study used 1205 unique georeferenced records of 222 amphibian species endemic to the GC region. Patterns of species richness were mapped onto a grid with a spatial resolution of 0.5° × 0.5°. We estimated weighted endemism and tested whether endemism was higher than the expected species richness (randomization test). We quantified species turnover using generalized dissimilarity modelling to evaluate the processes underlying observed patterns of species richness in GC endemic amphibians. We explored bioregionalization using agglomerative hierarchical clustering based on the unweighted pair group method with arithmetic averages.ResultsWe identified seven areas within the lower GC region – forests in Cameroon, Gabon, Southern Nigeria, Equatorial Guinea, Republic of Congo, Democratic Republic of Congo, and Cote d'Ivoire – as having high species richness of endemic amphibians. The randomization test returned four major areas of significant weighted endemism: Nigeria‐Cameroon mountains, forest regions of the Democratic Republic of Congo, Cote d'Ivoire, and Ghana. Our analysis revealed five bioregions for amphibian endemism, four of which were located within the lower Guineo‐Congolian forest. Species turnover was strongly related to the geographic distance between grid cells; contributing bioclimatic variables included precipitation of the warmest quarter, mean temperature of the wettest quarter, and mean diurnal temperature range.Main ConclusionsOur results indicate that geographic distance between grid cells is the primary determinant of turnover in GC endemic amphibians, with secondary but significant effects of rainfall‐ and temperature‐related variables. Our study identifies key areas of endemic amphibian richness that could be prioritized for conservation actions.

Funder

British Ecological Society

Idea Wild

Mohammed bin Zayed Species Conservation Fund

National Geographic Society

Rufford Foundation

Zoological Society of London

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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