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.
Mildenberger T.K., Taylor M.H., Wolff M. and Price S. (2017) TropFishR : an R package for fisheries analysis with length-frequency data. Methods in Ecology and Evolution 8(11): 1520-1527. 10.1111/2041-210X.12791
@article{Mildenberger2017,
Title = {TropFishR : an R package for fisheries analysis with length-frequency data},
Author = {Mildenberger, Tobias Karl and Taylor, Marc Hollis and Wolff, Matthias and Price, Samantha},
Editor = {},
Journal = {Methods in Ecology and Evolution},
Year = {2017},
Pages = {1520-1527},
Volume = {8},
Doi = {10.1111/2041-210X.12791},
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.},
}
TY - JOUR
AU - Mildenberger, Tobias Karl
AU - Taylor, Marc Hollis
AU - Wolff, Matthias
AU - Price, Samantha
TI - TropFishR : an R package for fisheries analysis with length-frequency data
T2 - Methods in Ecology and Evolution
PY - 2017
SP - 1520-1527
VL - 8
DO - 10.1111/2041-210X.12791
AB - 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.
ER -
