The scientist’s investigation covers issues in Ecology, Habitat, Ecology, Range and Foraging. Ecology and State space are commonly linked in his work. Ian D. Jonsen has included themes like Oceanography, Data science and Operations research in his Ecology study.
The study incorporates disciplines such as Environmental data and Turtle in addition to Range. His study in Foraging is interdisciplinary in nature, drawing from both Diel vertical migration, Fishery and Predation. His Predation study combines topics from a wide range of disciplines, such as Pelagic zone, Mode and Telemetry.
His primary areas of study are Ecology, Foraging, Fishery, Habitat and Predation. Ecology connects with themes related to Biological dispersal in his study. His Foraging research includes themes of Prey capture, Environmental change, Pelagic zone, Seabird and Trophic level.
The concepts of his Fishery study are interwoven with issues in Endangered species and Threatened species. His study in the field of Habitat destruction is also linked to topics like Term. His Animal ecology study incorporates themes from Remote sensing, Global Positioning System and Bayesian probability, Bayes' theorem.
Ian D. Jonsen mainly focuses on Fishery, Habitat, Whale, Continental shelf and Ecosystem. His Fishery study integrates concerns from other disciplines, such as Marine protected area, Telemetry, Salmo, Herring and Road ecology. As part of one scientific family, Ian D. Jonsen deals mainly with the area of Habitat, narrowing it down to issues related to the Foraging, and often Seascape, Competition, Intraspecific competition and Pelagic zone.
The various areas that he examines in his Whale study include Endangered species and Threatened species. The Continental shelf study combines topics in areas such as Home range, Predation, Sampling, Abiotic component and Big data. Throughout his Southern elephant seal studies, Ian D. Jonsen incorporates elements of other sciences such as Ecology, Context, Environmental change, Spatial ecology and Marine habitats.
Fishery, Whale, Telemetry, Ecosystem and Continental shelf are his primary areas of study. In general Fishery study, his work on Bycatch often relates to the realm of Cost effectiveness and Business, thereby connecting several areas of interest. Ian D. Jonsen works mostly in the field of Telemetry, limiting it down to topics relating to Abiotic component and, in certain cases, Habitat.
His Ecosystem study combines topics from a wide range of disciplines, such as Climate change, Predation, Ecological significance and Fishing. His multidisciplinary approach integrates Context and Ecology in his work. His work carried out in the field of Ecology brings together such families of science as Range and Data science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Tracking apex marine predator movements in a dynamic ocean
Barbara A. Block;I D Jonsen;S J Jorgensen;A J Winship.
Nature (2011)
ROBUST STATE-SPACE MODELING OF ANIMAL MOVEMENT DATA
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Ecology (2005)
Predicted habitat shifts of Pacific top predators in a changing climate
Elliott L. Hazen;Elliott L. Hazen;Salvador Jorgensen;Ryan R. Rykaczewski;Steven J. Bograd.
Nature Climate Change (2013)
Key Questions in Marine Megafauna Movement Ecology
Graeme C. Hays;Luciana C. Ferreira;Luciana C. Ferreira;Ana M.M. Sequeira;Mark G. Meekan.
Trends in Ecology and Evolution (2016)
META-ANALYSIS OF ANIMAL MOVEMENT USING STATE-SPACE MODELS
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Ecology (2003)
Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model
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Marine Ecology Progress Series (2007)
Response of generalist and specialist insect herbivores to landscape spatial structure
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Landscape Ecology (1997)
Sex-specific, seasonal foraging tactics of adult grey seals (Halichoerus grypus) revealed by state–space analysis
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Ecology (2009)
State-space models for bio-loggers: A methodological road map
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Deep-sea Research Part Ii-topical Studies in Oceanography (2013)
Robust hierarchical state–space models reveal diel variation in travel rates of migrating leatherback turtles
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Journal of Animal Ecology (2006)
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