Mildenberger, Tobias Karl, Taylor, Marc Hollis, Wolff, Matthias ORCID: https://orcid.org/0000-0001-7458-983X and Price, Samantha (2017) TropFishR : an R package for fisheries analysis with length-frequency data. Methods in Ecology and Evolution, 8 (11). pp. 1520-1527. DOI https://doi.org/10.1111/2041-210X.12791.

Full text not available from this repository.

Abstract

1. The R package TropFishR is a new analysis toolbox compiling single‐species stock assessment methods specifically designed for data‐limited fisheries analysis using length‐frequency data.
2. It includes methods for (i) estimating biological stock characteristics such as growth and mortality parameters, (ii) exploring technical aspects of the fisheries (e.g. exploitation rate and selectivity characteristics), (iii) assessing size and composition of a fish stock by means of virtual population analysis (VPA), and (iv) assessing stock status with yield prediction and production models.
3. This paper introduces the package and demonstrates the functionality of a selection of its core methods.
4. TropFishR modernises traditional stock assessment methods by easing application and development and by combining it with advanced statistical approaches.

Document Type: Article
Programme Area: UNSPECIFIED
Research affiliation: Integrated Modelling > Resource Management
Refereed: Yes
Open Access Journal?: No
DOI: https://doi.org/10.1111/2041-210X.12791
ISSN: 2041210X
Date Deposited: 22 May 2019 10:49
Last Modified: 26 Mar 2024 13:28
URI: http://cris.leibniz-zmt.de/id/eprint/1895

Actions (login required)

View Item View Item