Evidence for seasonal compensation of hunting mortalities in a long-lived migratory bird

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

[https://doi.org/10.5061/dryad.x95x69pt7](https://doi.org/10.5061/dryad.x95x69pt7)

This repository contains all code needed to reproduce analyses of LeTourneux et al. 2024, manuscript entitled \"Evidence for seasonal compensation of hunting mortalities in a long-lived migratory bird.\". Data for all scripts and to reproduce all figures is provided in the repository. The compiled capture-recapture dataset to reproduce the E-surge analyses and the most parcimonious model obtained from this analysis is also provided.

All capture-mark-recapture analyses were conducted in the software E-SURGE and all figures and some analyses to generate the figures were made with R. The script to generate figures from E-SURGE model results are present in '*.R' files. There is one script for the figures in the main text, and each appendix has its own stand alone script for the figures in each appendix.

E-S...