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Predictors of Frequency and Success of Wild Meat Hunting Trips and Carcass Prices in an African Biodiversity Hotspot

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Peer-reviewed

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Abstract

Abstract Hunting wild animals for food and income, which is pervasive across tropical regions, drives biodiversity loss. Interventions to promote sustainable wild meat harvesting require information on hunter behavior. Here we monitored the hunting activities of 33 hunters in SE Nigeria over three years (1,106 hunter-months) to identify correlates of (a) the probability of initiating a hunting trip on any given day; (b) trip success – whether an animal was caught, and if so, how many; and (c) carcass price. We found a higher probability of initiating a trip during periods with bright moon phases and in peak agriculture season. Hunters were more likely to catch at least one animal when there was less rainfall and on shorter hunting trips. However, among successful trips, the number of animals caught increased with trip duration. Taken together, these results suggest hunters set themselves a minimum target of not returning empty-handed rather than optimally adjusting their hunting effort. Lastly, the carcass price per kilogram of a species’ meat increased with its palatability but decreased with mass, with the fall in price observed to be greater for rarely caught, smaller-bodied animals than more frequently caught animals. Our results provide deeper insights into the behavioral plasticity of wild meat hunters.

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Journal Title

Human Ecology

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Journal ISSN

0300-7839
1572-9915

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Publisher

Springer Science and Business Media LLC

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Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
Wildlife Conservation Society (Unknown)
We acknowledge funding from Bill & Melinda Gates Foundation 449 (OPP1144 to C.A.E.), UK Research and Innovation (Future Leaders Fellowship: 450 MR/W006316/1 to D.J.I.), Dragon Capital Chair on Biodiversity Economics (B.B.), the UK 451 Research and Innovation’s Global Challenges Research Fund (UKRI GCRF) through the 452 Trade, Development and the Environment Hub project (ES/S008160/1 to L.C.), and USAID 453 (L.C.). Data collection was funded by Wildlife Conservation Society (Harry Schwarz 454 Conservation Scholarship to C.A.E.), Wildlife Conservation Network (C.A.E.), Cambridge 455 School of Biological Sciences (C.A.E.), American Society of Mammalogists (African Graduate 456 Student Research Fund to C.A.E), and Conservation Leadership Programme (Future 457 Conservationist Award: 01135920 to C.A.E and D.J.I.).