The 2001 National Marine Fisheries Service Stock Assessment Improvement Plan identified spatial processes and analyses as a high priority research need for “next-generation assessments.” In the decade and a half since, there has been limited progress in developing frameworks for modeling spatial processes. Spatially explicit stock assessments may be able to assess abundance by spatial units and avoid the inconsistency in spatial scale among assessment and management. This project will involve collaboration with a group of stock assessment scientists from each NMFS regional Science Center. The candidate will likely oversee the project in coordination with the principal investigators. One of the primary duties will involve developing simulation models that emulate several existing nationally important stock assessments to explore scenarios for how fish movement, varying fishery effort and selectivity, and spatially varying biological processes affect the ability to assess and manage populations. Additional analyses will focus on determining which data are the most useful in conducting spatial assessment and the balance of spatial resolution and data sparsity. This project will require strong quantitative/analytical skills. Qualified applicants should have a background in population dynamics, stock assessment, applied mathematics, or theoretical ecology. Familiarity with databases and strong programming skills (R, AD Model Builder, Template Model Builder, e.g.) are highly desired.
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Pilling GM, Berger AM, et al: Candidate biological and economic target reference points for the south Pacific albacore longline fishery. Fisheries Research 174: 167-178, 2016
Goethel DR, Quinn TJ II, Cadrin SX: Incorporating spatial structure in stock assessment: movement modelling in marine fish population dynamics. Reviews in Fisheries Science 19(2): 119-136, 2011
Hanselman DH, et al: Move it or lose it: Movement and mortality of sablefish tagged in Alaska. Canadian Journal of Fisheries and Aquatic Sciences 72(2): 238-25, 2015
Assessment; Fish; Stock structure; Mathematics; Statistics; Simulation; Estimation; Population dynamics; Ecology; Stock assessment; Simulation models; Fisheries science; Fisheries management; Spatial ecology; Movement; Selectivity; Quantitative;