Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co-occurrence

Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic

(2015) Aurelie Cosandey-Godin et al.   CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES

The importance of spatial models for estimating the strength of density dependence

(2015) James T. Thorson et al.   ECOLOGY

Spatial semiparametric models improve estimates of species abundance and distribution

(2014) Andrew Olaf Shelton et al.   CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES

Bayesian spatio-temporal discard model in a demersal trawl fishery

(2014) M. Grazia Pennino et al.   JOURNAL OF SEA RESEARCH

Designing Optimized Multi-Species Monitoring Networks to Detect Range Shifts Driven by Climate Change: A Case Study with Bats in the North of Portugal

(2014) Francisco Amorim et al.   PLoS One

Predicting bycatch hotspots for endangered leatherback turtles on longlines in the Pacific Ocean

(2014) J. H. Roe et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Identifying ecological and fishing drivers of bycatch in a U.S. groundfish fishery

(2013) Jason E. Jannot et al.   ECOLOGICAL APPLICATIONS

Accounting for space–time interactions in index standardization models

(2013) James T. Thorson et al.   FISHERIES RESEARCH

Opportunistic exploitation: an overlooked pathway to extinction

(2013) Trevor A. Branch et al.   TRENDS IN ECOLOGY & EVOLUTION

Applying time series models with spatial correlation to identify the scale of variation in habitat metrics related to threatened coho salmon (Oncorhynchus kisutch) in the Pacific Northwest

(2012) Eric J. Ward et al.   CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES

Disentangling spatio-temporal processes in a hierarchical system: a case study in fisheries discards

(2012) Mafalda Viana et al.   ECOGRAPHY

Evaluating the behavioral impairment of escaping fish can help measure the effectiveness of bycatch reduction devices

(2012) Robert W. Hannah et al.   FISHERIES RESEARCH

A probabilistic model for analysing species co-occurrence

(2012) Joseph A. Veech   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Direct fitting of dynamic models using integrated nested Laplace approximations — INLA

(2011) Ramiro Ruiz-Cárdenas et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Variation in the distribution of ocean shrimp (Pandalus jordani) recruits: links with coastal upwelling and climate change

(2011) ROBERT W. HANNAH   FISHERIES OCEANOGRAPHY

Trawl net modifications to reduce the bycatch of eulachon (Thaleichthys pacificus) in the ocean shrimp (Pandalus jordani) fishery

(2011) Robert W. Hannah et al.   FISHERIES RESEARCH

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

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Modeling species co-occurrence by multivariate logistic regression generates new hypotheses on fungal interactions

(2010) Otso Ovaskainen et al.   ECOLOGY

Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States

(2009) A. M. Latimer et al.   ECOLOGY LETTERS

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Ecology of small neritic fishes in the western Gulf of Alaska. I. Geographic distribution in relation to prey density and the physical environment

(2009) MT Wilson   MARINE ECOLOGY PROGRESS SERIES

Reducing bycatch in the South African pelagic longline fishery: the utility of different approaches to fisheries closures

(2008) HS Grantham et al.   Endangered Species Research