Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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Connectivity, persistence, and loss of high abundance areas of a recovering marine fish population in the Northwest Atlantic Ocean.

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Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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P1476

Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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P2093

Joanna Mills Flemming

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Nancy Shackell

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P2860

Residency, site fidelity and habitat use of Atlantic cod (Gadus morhua) at an offshore wind farm using acoustic telemetry.

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The role of spatial dynamics in the stability, resilience, and productivity of an estuarine fish population.

A Bayesian approach to estimate the biomass of anchovies off the coast of Perú.

Abundance-occupancy relationships

Bayesian measures of model complexity and fit

Stock Identification Methods

Biocomplexity in a highly migratory pelagic marine fish, Atlantic herring

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

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e0184427

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scholarly article

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10.1371/JOURNAL.PONE.0184427

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English

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Stuart Carson

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2017-09-08T00:00:00Z

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28886179

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5590953

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Local overfishing may be avoided by examining parameters of a spatio-temporal model.

about

P2860

P2860

Local overfishing may be avoided by examining parameters of a spatio-temporal model.

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