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This study is collecting valuable information to help us understand how hunters and non-hunters share the landscape in the Cooking Lake-Blackfoot Provincial Recreation Area (PRA). We are collaborating with the Alberta Conservation Association and the Alberta Ministry of Environment and Parks to help them understand your outdoor recreation experiences and what you think might improve those experiences.

The survey will take about 30 minutes to complete.

Understanding and characterizing the potential for conflict between hunters and non-hunters at the Cooking Lake-Blackfoot PRA will help to identify sources of conflict before they become major issues. We are interested in the ways that hunters and non-hunters are sharing the landscape in the Cooking Lake-Blackfoot PRA. We have three objectives:

  1. To investigate how hunters and non-hunters share the Cooking Lake-Blackfoot PRA, and the potential for conflict in the PRA.
  2. To understand the underlying drivers of potential conflict at the Cooking Lake-Blackfoot PRA.
  3. To determine whether PRA visitors’ and managers’ perceptions of site use levels and concerns about safety are supported.

This project is led by Dr. Howard Harshaw, an associate professor at the University of Alberta. The results of this survey will be shared with the Alberta Conservation Association and Alberta Environment & Parks in an effort to inform the management of publicly accessible outdoor recreation areas. Research results will be publicly available on the HD-Research Web Site.

It is anticipated that the survey results will support wildlife conservation, including approaches for reducing constraints to outdoor recreation participation and for promoting more enjoyable outdoor recreation experiences.

Funding for this study was provided by the Alberta Conservation Association.

The survey will take about 30 minutes to complete. Please take your time as you consider your answers to the questions. Remember, there are no right or wrong answers. Your responses are saved when you click on the “Next” button on each page. We greatly appreciate your time and effort. You must be 18 or older to participate.

There are no foreseeable risks to you associated with research. You are you unlikely to experience any discomfort as a result of this research. Although participation in this research will not provide direct benefits to you, it is anticipated that the results of this research will help us to understand what brings PRA visitors greater satisfaction.

Your identity will be kept strictly confidential. Your name and any other identifying information will not be shared in any reports from the completed study. All responses will be identified only by a code number and kept in a locked filing cabinet and password-protected computer files. The data that is collected in this research project will be kept for future use for understanding how people use provincial parks and provincial recreation areas in Alberta. Individual responses will not be made available to anyone outside the research team.

If you have any questions about the research, or would like further information, contact the Study Team. The plan for this study has been reviewed for its adherence to ethical guidelines by a ​Research Ethics Board​ at the ​University of Alberta​. For questions regarding participant rights and ethical conduct of research, please contact the Research Ethics Office​ at (780) 492-0459. If you wish to opt out of this survey, please contact the Study Team

Participation in this study is completely voluntary, and you may refuse to participate at any time without penalty. You may skip any question if you do not feel comfortable answering it, though we encourage you to complete all questions if possible. By submitting this survey, you grant your consent to participate in this study. If, for any reason, you wish to withdraw your data (i.e., your answers to the survey questions) from this study, please contact the Study Team within two weeks of submitting your questionnaire; your data will be permanently deleted from the study dataset.

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