Analyzing recreational fishing effort – Gender differences and the impact of Covid-19

Recreational fishing is an important economic driver and provides multiple social benefits. To predict fishing activity, identifying variables related to variation, 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 focusing on gender, the impact of Covid-19, and variables directly related to fishing effort. Genders (90% men and 10% women) significantly differed in demographics, socioeconomic status, and fishing skills but showed similar fishing preferences, fishing effort in terms of trip frequency, and travel distance. Covid-19 altered trip frequency for almost half of fishers, with changes varying by gender and activity level. A Bayesian network revealed travel distance as the main determinant of trip frequency, negatively impacting fishing activity for 61% of fishers, with fishing expertise also playing a role. The results suggest that among active fishers, socio-economic differences between g..., , , # Analyzing fisher effort - Gender differences and the impact of Covid-19

[https://doi.org/10.5061/dryad.1vhhmgr3m](https://doi.org/10.5061/dryad.1vhhmgr3m)

This README file was generated on 2024-09-17 by Julia Sabine Schmid

### Files and variables

#### File: Angler\_Survey.pdf (Zenodo - Supplemental information)

**Description:** 

Email survey in the study \"Analyzing recreational fishing effort - Gender differences and the impact of Covid-19\"

#### File: C01\_AASurvey\_exemplarydata.csv

**Description:** 

Exemplary mail survey responses in the study \"Analyzing recreational fishing effort - Gender differences and the impact of Covid-19\". Please note that these are not actual survey responses but exemplary data, as participants consented to their data being used solely for the purposes of the related study. This means the dataset was artificially created for demonstration purposes - some columns were randomly shuffled, and the content does not reflect real individual answers.

####..., The dataset shows not actual survey responses but exemplary data, as participants consented to their data being used solely for the purposes of the related study. This means the dataset was artificially created for demonstration purposes - some columns were randomly shuffled, and the content does not reflect real individual answers.

The study was reviewed and approved by the Research Ethics Board of the Alberta Research Information Services (ARISE, University of Alberta), study ID MS5\_Pro00102610.