Temporal and spatial distribution of non-target catch and non-target catch species in deepwater fisheries / C.T.T. Edwards, S. Mormede.
By: Edwards, Charles T. T [author.]
.
Contributor(s): Mormede, S. (Sophie) [author.] | Fisheries New Zealand (Government agency) [issuing body.].
Material type: 
BookSeries: New Zealand aquatic environment and biodiversity report: no. 303.Publisher: Wellington, New Zealand : Fisheries New Zealand, Ministry for Primary Industries, 2023Description: 1 online resource (81 pages) : colour illustrations.ISBN: 9781991062673.Other title: Spatial bycatch estimation [Running title].Subject(s): BYCATCHES (FISHERIES) | GEOGRAPHICAL DISTRIBUTION | BYCATCH | FISHERIES | NEW ZEALANDOnline resources: AEBR 303 Fisheries Infosite | NIWA document server | National Digital Heritage Archive Open Access Summary: A marginalised two-part model is fitted to observer catch and effort data from trawl and bottom longline fisheries and used to predict both the catches and latent biomass density distribution for non-target species. Validation of model performance was achieved using data on ling catches, with the model able to predict known landings and vessel reported catches. The model was then used to predict catches and biomass from the top 22 bycatch species plus hydrocorals.
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
PDF
|
WELLINGTON ONLINE | ONLINE | 1 | Not for loan | 401012 |
"January 2023."
Archived by the National Library of New Zealand in PDF.
Hypertext links contained in the archived instances of this title may not be functional.
Includes bibliographical references.
A marginalised two-part model is fitted to observer catch and effort data from trawl and bottom longline fisheries and used to predict both the catches and latent biomass density distribution for non-target species. Validation of model performance was achieved using data on ling catches, with the model able to predict known landings and vessel reported catches. The model was then used to predict catches and biomass from the top 22 bycatch species plus hydrocorals.
There are no comments on this title.
Log in to your account to post a comment.