Search Results - "Thorson, James"

Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model by Thorson, James T.

“…Fisheries scientists use biological models to determine sustainable fishing rates and forecast future dynamics. These models require both life‐history…”
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Measuring complexity for hierarchical models using effective degrees of freedom by Thorson, James T.

“…Hierarchical models can express ecological dynamics using a combination of fixed and random effects, and measurement of their complexity (effective degrees of…”
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Trees for fishes: The neglected role for phylogenetic comparative methods in fisheries science by Thorson, James T.

“…Fisheries scientists compare processes among species to estimate species productivity, management reference points, and climate sensitivities. Ecologists have…”
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Impacts of historical warming on marine fisheries production by Free, Christopher M, Thorson, James T, Pinsky, Malin L, Oken, Kiva L, Wiedenmann, John, Jensen, Olaf P

“…Climate change is altering habitats for marine fishes and invertebrates, but the net effect of these changes on potential food production is unknown. We used…”
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Development and simulation testing for a new approach to density dependence in species distribution models by Thorson, James T

“…Abstract Density dependence is included in many population–dynamics models, but few options exist within species distribution models (SDMs). One option for…”
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Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments by Thorson, James T.

“…•Stock, ecosystem, habitat, and climate assessments use different methods and vocabulary.•Population density across space, time, and species is a “common…”
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Predicting life history parameters for all fishes worldwide by Thorson, James T., Munch, Stephan B., Cope, Jason M., Gao, Jin

“…Scientists and resource managers need to know life history parameters (e.g., average mortality rate, individual growth rate, maximum length or mass, and timing…”
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Mixed effects: a unifying framework for statistical modelling in fisheries biology by Thorson, James T, Minto, Coilin

“…Abstract Fisheries biology encompasses a tremendous diversity of research questions, methods, and models. Many sub-fields use observational or experimental…”
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Forecast skill for predicting distribution shifts: A retrospective experiment for marine fishes in the Eastern Bering Sea by Thorson, James T.

“…Forecasting distribution shifts under novel environmental conditions is a major task for ecologists and conservationists. Researchers forecast distribution…”
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Developing spatio-temporal models using multiple data types for evaluating population trends and habitat usage by Grüss, Arnaud, Thorson, James T

“…Abstract Spatio-temporal models have become key tools for evaluating population trends and habitat usage. We developed a spatio-temporal modelling framework…”
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phylosem: A fast and simple R package for phylogenetic inference and trait imputation using phylogenetic structural equation models by Thorson, James T, van der Bijl, Wouter

“…Phylogenetic comparative methods (PCMs) can be used to study evolutionary relationships and trade-offs among species traits. Analysts using PCM may want to (1)…”
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Implementing a generic method for bias correction in statistical models using random effects, with spatial and population dynamics examples by Thorson, James T., Kristensen, Kasper

“…•Mixed-effects models are increasingly important in fisheries science and ecology.•The standard plug-in estimate of a nonlinear transformation of random…”
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Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management by Thorson, James T., Adams, Grant, Holsman, Kirstin

“…Multispecies models are widely used to evaluate management trade‐offs arising from species interactions. However, identifying climate impacts and sensitive…”
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Combining scientific survey and commercial catch data to map fish distribution by Alglave, Baptiste, Rivot, Etienne, Etienne, Marie-Pierre, Woillez, Mathieu, Thorson, James T, Vermard, Youen

“…Abstract Developing Species Distribution Models (SDM) for marine exploited species is a major challenge in fisheries ecology. Classical modelling approaches…”
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Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes by Thorson, James T, Shelton, Andrew O, Ward, Eric J, Skaug, Hans J

“…Abstract Indices of abundance are the bedrock for stock assessments or empirical management procedures used to manage fishery catches for fish populations…”
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The ocean’s movescape: fisheries management in the bio-logging decade (2018–2028) by Lowerre-Barbieri, Susan K, Kays, Roland, Thorson, James T, Wikelski, Martin

“…Abstract Although movement has always played an important role in fisheries science, movement patterns are changing with changing ocean conditions. This…”
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The relative influence of temperature and size‐structure on fish distribution shifts: A case‐study on Walleye pollock in the Bering Sea by Thorson, James T, Ianelli, James N, Kotwicki, Stan

“…Research has estimated associations between water temperature and the spatial distribution of marine fishes based upon correlations between temperature and the…”
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Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo by Monnahan, Cole C., Thorson, James T., Branch, Trevor A., O'Hara, Robert B.

“…Summary Bayesian inference is a powerful tool to better understand ecological processes across varied subfields in ecology, and is often implemented in generic…”
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Drivers and rates of stock assessments in the United States by Neubauer, Philipp, Thorson, James T, Melnychuk, Michael C, Methot, Richard, Blackhart, Kristan

“…Fisheries management is most effective when based on scientific estimates of sustainable fishing rates. While some simple approaches allow estimation of…”
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Joint dynamic species distribution models: a tool for community ordination and spatio-temporal monitoring by Thorson, James T., Ianelli, James N., Larsen, Elise A., Ries, Leslie, Scheuerell, Mark D., Szuwalski, Cody, Zipkin, Elise F.

“…Aim: Spatial analysis of the distribution and density of species is of continuing interest within theoretical and applied ecology. Species distribution models…”
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