@article {Sims2009LongTerm,
	title = {Long-Term GPS Tracking of Ocean Sunfish Mola mola Offers a New Direction in Fish Monitoring},
	journal = {PLoS ONE},
	volume = {4},
	number = {10},
	year = {2009},
	month = {October},
	pages = {e7351+},
	publisher = {Public Library of Science},
	abstract = {Satellite tracking of large pelagic fish provides insights on free-ranging behaviour, distributions and population structuring. Up to now, such fish have been tracked remotely using two principal methods: direct positioning of transmitters by Argos polar-orbiting satellites, and satellite relay of tag-derived light-level data for post hoc track reconstruction. Error fields associated with positions determined by these methods range from hundreds of metres to hundreds of kilometres. However, low spatial accuracy of tracks masks important details, such as foraging patterns. Here we use a fast-acquisition global positioning system (Fastloc GPS) tag with remote data retrieval to track long-term movements, in near real time and position accuracy of <70 m, of the world{\textquoteright}s largest bony fish, the ocean sunfish Mola mola . Search-like movements occurred over at least three distinct spatial scales. At fine scales, sunfish spent longer in highly localised areas with faster, straighter excursions between them. These {\textquoteright}stopovers{\textquoteright} during long-distance movement appear consistent with finding and exploiting food patches. This demonstrates the feasibility of GPS tagging to provide tracks of unparalleled accuracy for monitoring movements of large pelagic fish, and with nearly four times as many locations obtained by the GPS tag than by a conventional Argos transmitter. The results signal the potential of GPS-tagged pelagic fish that surface regularly to be detectors of resource {\textquoteright}hotspots{\textquoteright} in the blue ocean and provides a new capability for understanding large pelagic fish behaviour and habitat use that is relevant to ocean management and species conservation.},
	keywords = {fishes, marine, migration, orientation, tracking},
	doi = {10.1371/journal.pone.0007351},
	url = {http://dx.doi.org/10.1371/journal.pone.0007351},
	author = {Sims, David W. and Queiroz, Nuno and Humphries, Nicolas E. and Lima, Fernando P. and Hays, Graeme C.}
}
@article {Egevang2010Tracking,
	title = {Tracking of Arctic terns Sterna paradisaea reveals longest animal migration},
	journal = {Proceedings of the National Academy of Sciences},
	year = {2010},
	month = {January},
	abstract = {10.1073/pnas.0909493107 The study of long-distance migration provides insights into the habits and performance of organisms at the limit of their physical abilities. The Arctic tern is the epitome of such behavior; despite its small size (<125 g), banding recoveries and at-sea surveys suggest that its annual migration from boreal and high Arctic breeding grounds to the Southern Ocean may be the longest seasonal movement of any animal. Our tracking of 11 Arctic terns fitted with miniature (1.4-g) geolocators revealed that these birds do indeed travel huge distances (more than 80,000 km annually for some individuals). As well as confirming the location of the main wintering region, we also identified a previously unknown oceanic stopover area in the North Atlantic used by birds from at least two breeding populations (from Greenland and Iceland). Although birds from the same colony took one of two alternative southbound migration routes following the African or South American coast, all returned on a broadly similar, sigmoidal trajectory, crossing from east to west in the Atlantic in the region of the equatorial Intertropical Convergence Zone. Arctic terns clearly target regions of high marine productivity both as stopover and wintering areas, and exploit prevailing global wind systems to reduce flight costs on long-distance commutes.},
	keywords = {migration, migratory-birds, satellite-telemetry, seabirds, tracking},
	doi = {10.1073/pnas.0909493107},
	url = {http://dx.doi.org/10.1073/pnas.0909493107},
	author = {Egevang, Carsten and Stenhouse, Iain J. and Phillips, Richard A. and Petersen, Aevar and Fox, James W. and Silk, Janet R. D.}
}
@article {Broekhuizen2003Simulating,
	title = {Simulating the distribution of southern Buller{\textquoteright}s albatross using an individual-based population model},
	journal = {Journal of Applied Ecology},
	volume = {40},
	number = {4},
	year = {2003},
	month = {August},
	pages = {678{\textendash}691},
	keywords = {albatross, birds, gis, migration, seabirds, simulation, tracking},
	issn = {0021-8901},
	doi = {10.1046/j.1365-2664.2003.00834.x},
	url = {http://dx.doi.org/10.1046/j.1365-2664.2003.00834.x},
	author = {Broekhuizen, N. and Stahl, J. C. and Sagar, P. M.}
}
