Normal view MARC view ISBD view

The 2018 stock assessment of pāua (Haliotis iris) for PAU 5D / P Neubauer, L Tremblay-Boyer.

By: Neubauer, P. (Philipp) [author.].
Contributor(s): Tremblay-Boyer, L. (Laura) [author.] | Fisheries New Zealand (Government agency) [issuing body.].
Material type: materialTypeLabelBookSeries: New Zealand fisheries assessment report: 2019/39Publisher: Wellington, New Zealand : Fisheries New Zealand, Tini a Tangaroa, 2019.Description: 1 online resource : colour illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781990008252.Subject(s): PAUA FISHERIES | HALIOTIS IRIS | PAUA | SOUTHLAND | NEW ZEALAND | SHELLFISH POPULATIONS | MATHEMATICAL MODELS | FISH STOCK ASSESSMENTHoldings: ELECTRONIC Online resources: FAR 2019/39 Fisheries Infosite | NIWA document server | National Digital Heritage Archive Open Access Summary: This report presents a Bayesian length-based stock assessment for paua (Haliotis iris) in quota management area PAU 5D. The assessment model used the previous population dynamics model, but the data models, linking the population dynamics (process) model with different data types, were significantly updated. Unlike previous assessments, the present model used only model-derived inputs and did not fit directly to data. It, therefore, represents a Bayesian synthesis of available information.
List(s) this item appears in: New Zealand Fisheries Assessment Report
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Copy number Status Date due Barcode
PDF PDF WELLINGTON
ONLINE
ELECTRONIC 1 Not for loan 395752

"September 2019."

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.

This report presents a Bayesian length-based stock assessment for paua (Haliotis iris) in quota management area PAU 5D. The assessment model used the previous population dynamics model, but the data models, linking the population dynamics (process) model with different data types, were significantly updated. Unlike previous assessments, the present model used only model-derived inputs and did not fit directly to data. It, therefore, represents a Bayesian synthesis of available information.

ELECTRONIC

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha