Show simple item record

dc.contributor.authorLordan, C*
dc.contributor.authorGerritsen, H.D.*
dc.date.accessioned2011-07-06T11:31:51Z
dc.date.available2011-07-06T11:31:51Z
dc.date.issued2011
dc.identifier.citationGerritsen H., Lordan C., Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution. (2011) ICES Journal of Marine Science, 68 (1), 245-252, doi: 10.1093/icesjms/fsq137en_GB
dc.identifier.issn1054-3139
dc.identifier.urihttp://hdl.handle.net/10793/407
dc.identifier.urihttp://dx.doi.org/10.1093/icesjms/fsq137
dc.descriptionThis is a pre-copy-editing, author-produced PDF of an article accepted for publication in ICES Journal of Marine Science following peer review. The definitive publisher-authenticated version “Gerritsen H., Lordan C., Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution. (2011) ICES Journal of Marine Science, 68 (1): 245-252” is available online at: http://icesjms.oxfordjournals.org/content/68/1/245
dc.descriptionpeer-reviewed
dc.description.abstractVessel monitoring systems (VMS) automatically collect positional data from fishing vessels. The VMS data can be linked to catch data from logbooks to provide a census of spatially resolved catch-and-effort data. We explore and validate the most appropriate and practical method for integrating Irish VMS and logbook data. A simple speed rule is applied to identify VMS records that correspond to fishing activity. These data are then integrated with the catch data from logbooks using date and vessel identifier. A number of assumptions were investigated, and the resulting distribution maps of catch and effort appear to be unbiased. The method is illustrated with an example of a time-series of spatially explicit catch-per-unit-effort (cpue) estimates. The proposed method is relatively simple and does not require specialist software or computationally intensive methods. It will be possible to generalize this approach to similar datasets that are available within the EU and many other regions. Analysis of integrated VMS and logbook data will allow fisheries data to be analysed on a considerably finer spatial scale than was possible in the past, which opens up a range of potential applications.en_GB
dc.language.isoenen_GB
dc.publisherOxford University Pressen_GB
dc.relation.ispartofseriesICES Journal of Marine Science;68 (1)
dc.subjectcpueen_GB
dc.subjectecosystem approachen_GB
dc.subjectfisheriesen_GB
dc.subjectfishing activityen_GB
dc.subjectspatial distributionen_GB
dc.subjectvessel monitoring systemsen_GB
dc.subjectVMSen_GB
dc.titleIntegrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution.en_GB
dc.typeArticleen_GB


Files in this item

Thumbnail
Name:
Integrating Vessel Monitoring ...
Size:
370.5Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record