Functions to allow fisheries managers to simulate a bus route creel survey
Creel surveys allow fisheries scientists and managers the ability to sample anglers in a fishery and achieve statistically-valid estimates of catch rate, harvest rate, and in some cases, fish populations. Depending upon the size of the fishery, creel surveys can be challenging to implement correctly. Further, creel surveys can be costly. Much research has been spent on identifying methods for creel surveys. However, relatively little research time has been spent on answering the question what is the best creel-survey type to implement in my fishery? The package(s) and code contained in this repository include functions to allow fisheries managers the ability to simulate a creel survey with a priori data.
Install the stable released version of AnglerCreelSurveySimulation from CRAN:
install.packages("AnglerCreelSurveySimulation")
Or the development version from Github:
# devtools::install_github("stevenranney/AnglerCreelSurveySimulation")
install.packages("AnglerCreelSurveySimulation", repos = c('https://stevenranney.r-universe.dev', 'https://cloud.r-project.org'))
Additional information:
mean_trip_length and catch_rate are estimated from the gamma distributioneffort (Jones and Pollock 2012)catch (Malvestuto 1996; Jones and Pollock 2012)>= 1 surveysJones, C. M., and K. H. Pollock. 2012. Recreational survey methods: estimation of effort, harvest, and released catch. Pages 883-919 in A. V. Zale, D. L. Parrish, and T. M. Sutton, editors. Fisheries Techniques, 3rd edition. American Fisheries Society, Bethesda, Maryland.
Malvestuto, S. P. 1996. Sampling the recreational creel. Pages 591-623 in B. R. Murphy and D. W. Willis, editors. Fisheries techniques, 2nd edition. American Fisheries Society, Bethesda, Maryland.