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Abstract
Apex predators are threatened globally, and their local extinctions are often driven by failures in sustaining prey acquisition under contexts of severe prey scarcity. The harpy eagle Harpia harpyja is Earth’s largest eagle and the apex aerial predator of Amazonian forests, but no previous study has examined the impact of forest loss on their feeding ecology. We monitored 16 active harpy eagle nests embedded within landscapes that had experienced 0 to 85% of forest loss, and identified 306 captured prey items. Harpy eagles could not switch to open-habitat prey in deforested habitats, and retained a diet based on canopy vertebrates even in deforested landscapes. Feeding rates decreased with forest loss, with three fledged individuals dying of starvation in landscapes that succumbed to 50–70% deforestation. Because landscapes deforested by > 70% supported no nests, and eaglets could not be provisioned to independence within landscapes > 50% forest loss, we established a 50% forest cover threshold for the reproductive viability of harpy eagle pairs. Our scaling-up estimate indicates that 35% of the entire 428,800-km2 Amazonian ‘Arc of Deforestation’ study region cannot support breeding harpy eagle populations. Our results suggest that restoring harpy eagle population viability within highly fragmented forest landscapes critically depends on decisive forest conservation action.
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1 University of KwaZulu-Natal, Centre for Functional Biodiversity, School of Life Sciences, Pietermaritzburg, South Africa (GRID:grid.16463.36) (ISNI:0000 0001 0723 4123)
2 University of East Anglia, School of Environmental Sciences, Norwich, UK (GRID:grid.8273.e) (ISNI:0000 0001 1092 7967); Instituto Juruá, Manaus, Brazil (GRID:grid.8273.e)
3 University of East Anglia, School of Environmental Sciences, Norwich, UK (GRID:grid.8273.e) (ISNI:0000 0001 1092 7967); Universidade Federal de Santa Catarina, Departamento de Ecologia e Zoologia, Florianópolis, Santa Catarina, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235)
4 Medicina Veterinária, Universidade Federal de Mato Grosso, Sinop, Brazil (GRID:grid.411206.0) (ISNI:0000 0001 2322 4953)
5 New Mexico Highlands University, Las Vegas, USA (GRID:grid.260899.c) (ISNI:0000 0000 9477 8585)
6 HAS University, Venlo, The Netherlands (GRID:grid.260899.c)
7 SouthWild, Várzea Grande, Brazil (GRID:grid.260899.c)
8 Instituto Nacional de Pesquisa do Pantanal (INPP), Museu Paraense Emílio Goeldi (MPEG) - Programa de Capacitação Institucional, Cuiabá, Brazil (GRID:grid.260899.c)
9 Programa de Pós-Graduação em Ecologia e Conservação da Biodiversidade, Universidade Federal de Mato Grosso, Instituto de Biociências, Cuiabá, Brazil (GRID:grid.411206.0) (ISNI:0000 0001 2322 4953)
10 Programa de Pós-Graduação em Zoologia, Universidade Federal de Mato Grosso, Departamento de Biologia e Zoologia, Instituto de Biociências, Cuiabá, Brazil (GRID:grid.411206.0) (ISNI:0000 0001 2322 4953)
11 Universidade de Brasília, Brasília, Departamento de Zoologia, IB, Distrito Federal, Brazil (GRID:grid.7632.0) (ISNI:0000 0001 2238 5157)