Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology

Neda Trifonova, Andrew Kenny, David Maxwell, +3

Ecological Informatics

EngineeringTrophic DynamicsEcological ModellingMarine SystemsFunctional Networks +16

Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model

Neda Trifonova, David Maxwell, John K. Pinnegar, +2

ICES Journal of Marine Science

Trophic ImpactEcosystem ResponsesEcological SimulationZooplankton EcologyEcological Modelling +7

Hidden variables in a Dynamic Bayesian Network identify ecosystem level change

Laura Uusitalo, Maciej T. Tomczak, Bärbel Müller‐Karulis, +3

Ecological Informatics

Dynamic Bayesian NetworkEcosystem StructureEcological ModellingEcosystem Level ChangeHidden Variables +1

Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities

Encarni Medina-López, David McMillan, Jasmina Lazić, +17

Remote Sensing of Environment

EngineeringMarine EnergySustainable EnergySatellite ImagingOffshore Wind Energy +8

A paradigm for understanding whole ecosystem effects of offshore wind farms in shelf seas

Natalie Isaksson, Beth E. Scott, Georgina L. Hunt, +11

ICES Journal of Marine Science

Wind Energy ExtractionEngineeringMarine EnergyOcean EngineeringSustainable Fishery +10

Bayesian network modelling provides spatial and temporal understanding of ecosystem dynamics within shallow shelf seas

Neda Trifonova, Beth E. Scott, Michela De Dominicis, +2

Ecological Indicators

2017 Ecosystem status report update for the Gulf of Mexico

Mandy Karnauskas, Chris Kelble, Sean P. Regan, +10

EngineeringMarine EcologyMarine ManagementOceanographyEarth Science +2

Machine Learning Applications for Fisheries—At Scales from Genomics to Ecosystems

Bernhard Kühn, Arjay Cayetano, Jennifer I Fincham, +6

Reviews in Fisheries Science & Aquaculture

Spatial conflict in offshore wind farms: Challenges and solutions for the commercial fishing industry

Claire L. Szostek, Stephen C. L. Watson, Neda Trifonova, +2

Energy Policy

Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model

Neda Trifonova, Mandy Karnauskas, Christopher R. Kelble

PLoS ONE

EngineeringFocal Ecosystem ComponentsEcological ModellingOceanographyEarth Science +16