What Keeps People Coming Back

Understanding Participation and Satisfaction

There are important relationships between waterfowl populations, their management and people. However, the ability to quantitatively evaluate and model these relationships is currently in the initial stages. One relationship of interest is between hunting participation and waterfowl populations. The long-held view is that larger waterfowl populations, which are not independent of hunting regulations, increase hunting satisfaction and participation. In Canada and the United States, this correlation has weakened in recent decades. Recent surveys of waterfowl hunters, birdwatchers and the broader public in the United States and Canada offer additional insights. Specifically, the surveys measured hunter rankings for the relative importance of large duck populations to hunting satisfaction and shed light on the effects of waterfowl populations and expected harvest on hunters' predicted participation. Similarly, birdwatcher surveys measured effects of bird numbers, species numbers and rarity of birds on their predicted participation.

Two waterfowl hunters wearing camouflage sit among tall wetland brush.
Understanding what keeps hunters and birdwatchers engaged can help conservation partners better connect waterfowl management with public participation.

Closing the Other Loop

Integrating People Into Population Models

Recently, social scientists have examined hypotheses about the relationship between participation in waterfowl hunting or viewing and conservation behaviors and advocacy for appropriate public policy. Hypotheses about effects of harvest regulations, a function of waterfowl populations, on hunting participation have been debated for decades. A United States-scale research effort is underway to develop a new model for integrating waterfowl hunting regulations and their effects on hunter participation and harvest into existing population and habitat models. The goals are to create a foundation for understanding hunter dynamics, integrating them into existing modeling frameworks and, ideally, reducing uncertainties in order to incorporate a social component into decision tools for setting regulations and managing harvest (Berl et al. 2023).