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Estimation of short-term centers of activity from an array of omnidirectional hydrophones and its use in studying animal movements

2002· article· en· 428 citations· W2070550308 on OpenAlex· 10.1139/f01-191

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.034
GPT teacher head0.236
Teacher spread
0.201 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

A method for studying animal movements based on data from independent data-logging acoustic receivers is described. The method takes presence or absence data from multiple receivers arranged in an array and converts them to position estimates based on weighted means of the number of signal receptions at each receiver during a specified time period. The method is equivalent to a short-term center of activity rather than a precise estimate of location at a single time. The utility of the method was assessed using data from a study of neonate blacktip sharks (Carcharhinus limbatus). Periods between 5 and 60 min were tested to find the most appropriate interval for estimating positions. The results from the method agreed closely with a simulated shark track and data from actively tracked sharks. The median distances between successive locations from the mean-position algorithm were between 28% and 42% of those from active tracking because of the center-of-activity nature of the method. The results presented demonstrate that the technique provides a useful method for investigating long-term movement patterns, space utilization patterns over broader areas, and home range.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Canadian Journal of Fisheries and Aquatic Sciences
Topic
Ichthyology and Marine Biology
Field
Environmental Science
Canadian institutions
Funders
National Marine Fisheries Service
Keywords
CarcharhinusTerm (time)Position (finance)Range (aeronautics)BioacousticsComputer scienceOmnidirectional antennaInterval (graph theory)Home rangeTracking (education)SIGNAL (programming language)StatisticsGeodesyMathematicsGeographyFisheryEcologyTelecommunicationsBiologyEngineering
Has abstract in OpenAlex
yes