The 2019 stock assessment of rock lobsters (Jasus edwardsii) in CRA 3 / D.N. Webber, J. Roberts, M.B. Rudd, P.J. Starr, K. Large.

By: Webber, D. N. (D'Arcy Nathan).
Contributor(s): Roberts, Jim (Fishery scientist) | Rudd, M. B | Starr, Paul J | Large, K. (Kath) | Fisheries New Zealand (Government agency) | New Zealand. Ministry for Primary Industries [issuing body.].
Material type: materialTypeLabelBookSeries: New Zealand fisheries assessment report: 2020/42Publisher: Wellington : Fisheries New Zealand, Tini a Tangaroa, 2020Description: 1 online resource.ISBN: 9781990043376.Subject(s): JASUS EDWARDSII | RED ROCK LOBSTERS | FISHERY MANAGEMENT | LOBSTER FISHERIES | JASUS EDWARDSII FISHERIES | STOCK ASSESSMENT | FISH STOCK ASSESSMENT | FISHERIES | NEW ZEALANDHoldings: ELECTRONIC Online resources: FAR 2020/42 Fisheries Infosite | NIWA document server | National Digital Heritage Archive Open Access Summary: This document describes the 2019 stock assessment of red rock lobsters (Jasus edwardsii) in CRA 3. The model was fitted to standardised catch per unit effort indices, size frequency, sex ratio, and tag-recapture observations. Model inference for this assessment was based on maximum a posteriori fits and MCMC simulations. The stock assessment suggests that the stock has declined since 2013 and is projected to further decline at current levels of catch and assuming recent recruitment patterns.
List(s) this item appears in: New Zealand Fisheries Assessment Report
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ELECTRONIC 1 Not for loan 398359

"December 2020."

Archived by the National Library of New Zealand in PDF.

This document describes the 2019 stock assessment of red rock lobsters (Jasus edwardsii) in CRA 3. The model was fitted to standardised catch per unit effort indices, size frequency, sex ratio, and tag-recapture observations. Model inference for this assessment was based on maximum a posteriori fits and MCMC simulations. The stock assessment suggests that the stock has declined since 2013 and is projected to further decline at current levels of catch and assuming recent recruitment patterns.

ELECTRONIC

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