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State-space models for bio-loggers: A methodological road map
Citation
Jonsen, ID and Basson, M and Bestley, S and Bravington, MV and Patterson, TA and Pedersen, MW and Thomson, R and Thygesen, UH and Wotherspoon, SJ, State-space models for bio-loggers: A methodological road map, Deep-Sea Research. Part 2: Topical Studies in Oceanography, 88-89, (SI) pp. 34-46. ISSN 0967-0645 (2013) [Refereed Article]
Copyright Statement
Copyright 2012 Elsevier
DOI: doi:10.1016/j.dsr2.2012.07.008
Abstract
Ecologists have an unprecedented array of bio-logging technologies available to conduct in situ
studies
of horizontal and vertical movement patterns of marine animals. These tracking data provide key
information about foraging, migratory, and other behaviours that can be linked with bio-physical
datasets to understand physiological and ecological influences on habitat selection. In most cases,
however, the behavioural context is not directly observable and therefore, must be inferred. Animal
movement data are complex in structure, entailing a need for stochastic analysis methods. The
recent development of state-space modelling approaches for animal movement data provides
statistical rigor for inferring hidden behavioural states, relating these states to bio-physical
data, and ultimately for predicting the potential impacts of climate change. Despite the
widespread utility, and current popularity, of state-space models for analysis of animal tracking
data, these tools are not simple and require considerable care in their use. Here we develop a
methodological ‘‘road map’’ for ecologists by reviewing currently available state-space
implementations. We discuss appropriate use of state-space methods for location and/or behavioural
state estimation from different tracking data types. Finally, we outline key areas where the
methodology is advancing, and where it needs further development.
Item Details
Item Type: | Refereed Article |
---|---|
Research Division: | Biological Sciences |
Research Group: | Ecology |
Research Field: | Marine and estuarine ecology (incl. marine ichthyology) |
Objective Division: | Environmental Management |
Objective Group: | Coastal and estuarine systems and management |
Objective Field: | Assessment and management of coastal and estuarine ecosystems |
UTAS Author: | Bestley, S (Dr Sophie Bestley) |
UTAS Author: | Wotherspoon, SJ (Dr Simon Wotherspoon) |
ID Code: | 89568 |
Year Published: | 2013 |
Web of Science® Times Cited: | 167 |
Deposited By: | IMAS Research and Education Centre |
Deposited On: | 2014-03-07 |
Last Modified: | 2014-06-06 |
Downloads: | 0 |
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