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Predicting range shifts of African apes under global change scenarios

Authors :
Terry Brncic
Nikki Tagg
Fiona Maisels
Leon Payne
Josephine Head
Barbara Haurez
Maureen S. McCarthy
Serge A. Wich
Jacob Willie
Sorrel Jones
Angelique Todd
Rebecca Chancellor
Ashley Vosper
Bala Amarasekaran
Fiona A. Stewart
Hedwige Boesch
Erin G. Wessling
José F. C. Wenceslau
Stuart Nixon
Bruce P. Graham
Jacqueline Sunderland-Groves
Annemarie Goedmakers
Andrea Ghiurghi
Jessica Ganas
Tenekwetche Sop
Dismas Hakizimana
Sarah H. Olson
Lilian Pintea
Eno-Nku Manasseh
Adeline Serckx
Joana S. Carvalho
Emmanuel Danquah
Sylvain Gatti
Bartelijntje Buys
Anh Galat-Luong
Nicolas Granier
Emmanuelle Normand
Ilka Herbinger
Annika Hillers
Hjalmar S. Kühl
Elizabeth A. Williamson
Christophe Boesch
Andrew J. Plumptre
Bethan J. Morgan
Richard A. Bergl
Charles-Albert Petre
Osiris A. Doumbé
Gaёlle Bocksberger
Aaron S. Rundus
Alex K. Piel
Louis Nkembi
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

AimModelling African great ape distribution has until now focused on current or past conditions, whilst future scenarios remain scarcely explored. Using an ensemble forecasting approach, we predicted changes in taxon-specific distribution under future scenarios of climate, land-use and human population changes.LocationSub-Saharan AfricaMethodsWe compiled occurrence data on African ape populations from the IUCN A.P.E.S. database and extracted relevant human-, climate- and habitat-related predictors representing current and future (2050) conditions to predict taxon-specific distribution under a best- and a worst-case scenario, using ensemble forecasting. Given the large effect on model predictions, we further tested algorithm sensitivity by considering default and non-default modelling options. The latter included interactions between predictors and polynomial terms in correlative algorithms.ResultsThe future distributions of gorilla and bonobo populations are likely to be directly determined by climate-related variables. In contrast, future chimpanzee distribution is influenced mostly by anthropogenic variables. Both our modelling approaches produced similar model accuracy, although a slight difference in the magnitude of range change was found for Gorilla beringei beringei, G. gorilla diehli, and Pan troglodytes schweinfurthii. On average, a decline of 50% of the geographic range (non-default; or 55% default) is expected under the best scenario if no dispersal occurs (57% non-default or 58% default in worst scenario). However, new areas of suitable habitat are predicted to become available for most taxa if dispersal occurs (81% or 103% best, 93% or 91% worst, non-default and default, respectively), except for G. b. beringei.Main ConclusionsDespite the uncertainty in predicting the precise proportion of suitable habitat by 2050, both modelling approaches predict large range losses for all African apes. Thus, conservation planners urgently need to integrate land-use planning and simultaneously support conservation and climate change mitigation measures at all decision-making levels both in range countries and abroad.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........2a8fbc6d177edfd38e4dfe4dd68feacc