Publications

Shaw MJ^†, Free CM, Mendsaikhan B, Ganzorig B, Jensen OP (2024) Length-based assessment of Hovsgol grayling (Thymallus nigrescens), lenok (Brachymystax lenok), and burbot (Lota lota) population status in Lake Hovsgol, Mongolia. Fisheries Management and Ecology: https://doi.org/10.1111/fme.12759. [link] [PDF]

Ovando D, Free CM, Jensen OP, Hilborn R (2022) A history and assessment of catch-only stock assessment models. Fish and Fisheries 23: 616-630. [link] [PDF] [Altmetric]

Free CM, Jensen OP, Anderson SC, Gutierrez NL, Kleisner KM, Longo C, Minto C, Osio GC, Walsh JC (2020) Blood from a stone: performance of catch-only methods in estimating stock biomass status. Fisheries Research 223: 105452. [link] [PDF] [Altmetric]

Wiedenmann J, Free CM, Jensen OP (2019) Evaluating the performance of data-limited methods for setting catch targets through application to data-rich stocks: A case study using Northeast U.S. fish stocks. Fisheries Research 209: 129-142. [link] [PDF] [Altmetric]

Jensen OP, Free CM (2018) Development and testing of superensemble and two-stage catch-only models for estimation of stock status. UN Food and Agriculture Organization, Rome, Italy. [PDF]

Jensen OP, Free CM (2017) Testing and comparison of data-limited assessment models for estimating global and regional stock status. UN Food and Agriculture Organization, Rome, Italy. [PDF]

Free CM, Jensen OP, Wiedenmann J, Deroba JJ (2017) The refined ORCS approach: a catch-based method for estimating stock status and catch limits for data-poor fish stocks. Fisheries Research 193: 60-70. [link] [PDF] [Altmetric]

Software and web tools

Free CM (2018) datalimited2: More stock assessment methods for data-limited fisheries. Available at: https://github.com/cfree14/datalimited2

Free CM (2017) Refined ORCS Approach. Available at: https://cfree.shinyapps.io/refined_orcs_approach/