A utilization distribution for the global population of Cape Vultures (Gypscoprotheres) to guide wind energy development

Author:

Cervantes Francisco1ORCID,Murgatroyd Megan123ORCID,Allan David G.4ORCID,Farwig Nina5ORCID,Kemp Ryno6ORCID,Krüger Sonja78ORCID,Maude Glyn9ORCID,Mendelsohn John10,Rösner Sascha5ORCID,Schabo Dana G.5ORCID,Tate Gareth13ORCID,Wolter Kerri6ORCID,Amar Arjun1ORCID

Affiliation:

1. FitzPatrick Institute of African Ornithology University of Cape Town Cape Town South Africa

2. HawkWatch International Salt Lake City Utah USA

3. Birds of Prey Programme Endangered Wildlife Trust Midrand South Africa

4. Durban Natural Science Museum Durban South Africa

5. Faculty of Biology, Conservation Ecology Philipps‐University Marburg Marburg Germany

6. VulPro Rietfontein South Africa

7. Ezemvelo KwaZulu‐Natal Wildlife Cascades South Africa

8. Centre for Functional Biodiversity, School of Life Sciences University of KwaZulu‐Natal Scottsville South Africa

9. Raptors Botswana Hukuntsi Botswana

10. Raison Windhoek Namibia

Abstract

AbstractThe rapid development of wind energy in southern Africa represents an additional threat to the already fragile populations of African vultures. The distribution of the vulnerable Cape Vulture Gyps coprotheres overlaps considerably with wind energy development areas in South Africa, creating conflicts that can hinder both vulture conservation and sustainable energy development. To help address this conflict and aid in the safe placement of wind energy facilities, we map the utilization distribution (UD) of this species across its distributional range. Using tracking data from 68 Cape Vultures collected over the last 20 years, we develop a spatially explicit habitat use model to estimate the expected UDs around known colonies. Scaling the UDs by the number of vultures expected to use each of the colonies, we estimate the Cape Vulture population utilization distribution (PUD) and determine its exposure to wind farm impacts. To complement our results, we model the probability of a vulture flying within the rotor sweep area of a wind turbine throughout the species range and use this to identify areas that are particularly prone to collisions. Overall, our estimated PUD correlates well with reporting rates of the species from the Southern African Bird Atlas Project, currently used to assess potential overlap between Cape Vultures and wind energy developments, but it adds important benefits, such as providing a spatial gradient of activity estimates over the entire species range. We illustrate the application of our maps by analyzing the exposure of Cape Vultures in the Renewable Energy Development Zones (REDZs) in South Africa. This application is a scalable procedure that can be applied at different planning phases, from strategic, nationwide planning to project‐level assessments.

Publisher

Wiley

Subject

Ecology

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