Julia S. Schmid1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada, Sean Simmons2Anglers Atlas, Goldstream Publishing, Prince George, British Columbia, Canada, Mark S. PoeschDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada, Pouria RamaziDepartment of Mathematics and Statistics, Brock University, St. Catharines, Ontario, Canada, Mark A. Lewis1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, CanadaDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, CanadaDepartment of Biology, University of Victoria, Victoria, British Columbia, CanadaDepartment of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada
{"title":"Analyzing fisher effort -- Gender differences and the impact of Covid-19","authors":"Julia S. Schmid1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada, Sean Simmons2Anglers Atlas, Goldstream Publishing, Prince George, British Columbia, Canada, Mark S. PoeschDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada, Pouria RamaziDepartment of Mathematics and Statistics, Brock University, St. Catharines, Ontario, Canada, Mark A. Lewis1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, CanadaDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, CanadaDepartment of Biology, University of Victoria, Victoria, British Columbia, CanadaDepartment of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada","doi":"arxiv-2409.07492","DOIUrl":null,"url":null,"abstract":"Fishing is a valuable recreational activity in our society. To assess future\nfishing activity, identifying variables related to differences in fishing\nactivity, such as gender or Covid-19, is helpful. We conducted a Canada-wide\nemail survey of users of an online fishing platform and analyzed responses with\na focus on gender, the impact of Covid-19, and variables directly related to\nfisher effort. Genders (90.1% male and 9.9% female respondents) significantly\ndiffered in demographics, socioeconomic status, and fishing skills but were\nsimilar in fishing preferences, fisher effort in terms of trip frequency, and\ntravel distance. For almost half of the fishers, Covid-19 caused a change in\ntrip frequency, determined by the activity level and gender of the fisher. A\nBayesian network revealed that travel distance was the main determinant of trip\nfrequency and negatively impacted the fishing activity of 61% of the fishers.\nFisher effort was also directly related to fishing expertise. The study shows\nhow online surveys and Bayesian networks can help understand the relationship\nbetween fishers' characteristics and activity and predict future fishing\ntrends.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fishing is a valuable recreational activity in our society. To assess future
fishing activity, identifying variables related to differences in fishing
activity, such as gender or Covid-19, is helpful. We conducted a Canada-wide
email survey of users of an online fishing platform and analyzed responses with
a focus on gender, the impact of Covid-19, and variables directly related to
fisher effort. Genders (90.1% male and 9.9% female respondents) significantly
differed in demographics, socioeconomic status, and fishing skills but were
similar in fishing preferences, fisher effort in terms of trip frequency, and
travel distance. For almost half of the fishers, Covid-19 caused a change in
trip frequency, determined by the activity level and gender of the fisher. A
Bayesian network revealed that travel distance was the main determinant of trip
frequency and negatively impacted the fishing activity of 61% of the fishers.
Fisher effort was also directly related to fishing expertise. The study shows
how online surveys and Bayesian networks can help understand the relationship
between fishers' characteristics and activity and predict future fishing
trends.