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Range‐wide indicators of African great ape density distribution
ISSN
0275-2565
Date Issued
2021
Author(s)
Ordaz‐Németh, Isabel
Sop, Tenekwetche
Amarasekaran, Bala
Bachmann, Mona
Boesch, Christophe
Brncic, Terry
Caillaud, Damien
Campbell, Geneviève
Carvalho, Joana
Chancellor, Rebecca
Kühl, Hjalmar S.
Davenport, Tim R. B.
Dowd, Dervla
Eno‐Nku, Manasseh
Ganas‐Swaray, Jessica
Granier, Nicholas
Greengrass, Elizabeth
Heinicke, Stefanie
Herbinger, Ilka
Inkamba‐Nkulu, Clement
Iyenguet, Fortuné
Junker, Jessica
Bobo, Kadiri S.
Lushimba, Alain
Maisels, Fiona
Malanda, Guy Aimé Florent
McCarthy, Maureen S.
Motsaba, Prosper
Moustgaard, Jennifer
Murai, Mizuki
Ndokoue, Bezangoye
Nixon, Stuart
Nseme, Rostand Aba'a
Nzooh, Zacharie
Pintea, Lilian
Plumptre, Andrew J.
Roy, Justin
Rundus, Aaron
Sanderson, Jim
Serckx, Adeline
Strindberg, Samantha
Tweh, Clement
Vanleeuwe, Hilde
Vosper, Ashley
Williamson, Elizabeth A.
Wilson, Michael
Mundry, Roger
DOI
10.1002/ajp.23338
Abstract
Abstract Species distributions are influenced by processes occurring at multiple spatial scales. It is therefore insufficient to model species distribution at a single geographic scale, as this does not provide the necessary understanding of determining factors. Instead, multiple approaches are needed, each differing in spatial extent, grain, and research objective. Here, we present the first attempt to model continent‐wide great ape density distribution. We used site‐level estimates of African great ape abundance to (1) identify socioeconomic and environmental factors that drive densities at the continental scale, and (2) predict range‐wide great ape density. We collated great ape abundance estimates from 156 sites and defined 134 pseudo‐absence sites to represent additional absence locations. The latter were based on locations of unsuitable environmental conditions for great apes, and on existing literature. We compiled seven socioeconomic and environmental covariate layers and fitted a generalized linear model to investigate their influence on great ape abundance. We used an Akaike‐weighted average of full and subset models to predict the range‐wide density distribution of African great apes for the year 2015. Great ape densities were lowest where there were high Human Footprint and Gross Domestic Product values; the highest predicted densities were in Central Africa, and the lowest in West Africa. Only 10.7% of the total predicted population was found in the International Union for Conservation of Nature Category I and II protected areas. For 16 out of 20 countries, our estimated abundances were largely in line with those from previous studies. For four countries, Central African Republic, Democratic Republic of the Congo, Liberia, and South Sudan, the estimated populations were excessively high. We propose further improvements to the model to overcome survey and predictor data limitations, which would enable a temporally dynamic approach for monitoring great apes across their range based on key indicators.
Human Footprint and Gross Domestic Product are important indicators for African great ape density. image
Highlights We identified the Human Footprint and Gross Domestic Product as important indicators predicting African great ape density at the continental scale. Using site‐level abundance data, we predicted density and distribution for African great apes across their entire range.
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