Data from: Evidence for seasonal compensation of hunting mortalities in a long-lived migratory bird ...

• Main Authors: LeTourneux, Frédéric, Gauthier, Gilles, Pradel, Roger, Lefebvre, Josée, Legagneux, Pierre
• Format: Dataset
• Language: English
• Published: Dryad 2024
• Subjects: compensatory mortality; Overabundance; seasonal survival; Greater snow geese; Population dynamics; capture-recapture; hunting; multievent; Wildlife Management; Anser caerulescens; FOS Biological sciences; Nunavut; Bylot Island; Canada
• Online Access: https://dx.doi.org/10.5061/dryad.x95x69pt7; https://datadryad.org/stash/dataset/doi:10.5061/dryad.x95x69pt7

Understanding whether hunting mortality is additive to or compensated by other mortality sources is at the heart of managing harvested populations. Long-lived species are expected to exhibit hunting mortality additive to other sources of mortality, making them ideal candidates for population management through sport harvest. Previous studies on these processes have focussed on density-dependent natural mortality compensating for hunting mortality, but when harvest occurs in distinct periods of the year, heterogeneity in hunting vulnerability between individuals could also lead to compensatory mortality between these periods. We explore this new idea using the case of the greater snow goose (Anser caerulescens atlantica), a harvested species whose population became overabundant in the late 20th century. To control this population, wildlife agencies liberalized hunting regulations with unprecedented actions such as special hunting seasons implemented in spring 1999 in Canada and in winter 2009 in the USA. To ... : This capture-recapture dataset of greater snow geese was collected on Bylot Island, Nunavut (73N, 80W) between 1990 and 2019. Geese are captured at the end of the breeding season (August), when they are moulting and flightless. Please refer to the published manuscript for further details on the methods used and to the readME file for details on files provided along with this dataset. ...