This report presents an assessment of the orange roughy stock off the west coast of the South Island (ORH 7B) in 2020. There was a fishery from 1985 to 1992, with the TACC peaking at 1708 t between 1989 and 1995, and the fishery was closed from October 2007. The assessment used two acoustic biomass estimates (2017, 2019) and a 2019 age frequency, completely rejecting the assumptions used in previous assessments that CPUE was directly proportional to biomass and that recruitment followed the assumed recruitment curve. This assessment is considered preliminary as work was stopped due to the conclusion that the acoustic surveys had probably missed a substantial proportion of the spawning biomass.

This report provides a 2020 update of 2014 and 2017 assessments of the East and South Chatham Rise orange roughy stock, to enable an HCR-derived recommended catch limit for 2020–21. Three age-structured Bayesian population models were fitted to biomass and composition data. Virgin biomass (B0) was estimated as 300 000–350 000 t and 2020 stock status from the base case model was 36% B0 (± 95% CIs of 30 to 41%). With a vulnerable biomass of 157 000 t, the HCR-derived recommended catch limit was 6348 t for 2020–21, with a slowing increasing population over future years.

This report summarises commercial catch and effort statistics for rock lobsters, which are also known in New Zealand as “crayfish” or “kōura”.

The summaries presented in this document cover the rock lobster legal fishing years (1 April–31 March) for April 1979 to March 2023.

There are nine Quota Management Areas (QMAs) that cover all inshore waters of the North Island, the South Island, and the Chatham Islands. There are 43 smaller statistical areas that lie within these nine QMAs. The summaries are ordered by QMA, with each QMA identified by a three-letter code and a number. The rock lobster code is CRA, so the nine QMAs are labelled CRA 1 to CRA 9.

The first three tables for each CRA QMA summarise, by statistical area and fishing year, (1) number of vessels, (2) catch, and (3) effort. The last category is defined as the total number of rock lobster pots lifted within each fishing year and statistical area. The fourth table summarises catch by month and fishing year for the entire QMA, and a fifth table gives the monthly catch by statistical area for just the final fishing year, which is 2022–23 in this document.

The sixth table for each QMA summarises catch-per-unit-effort (CPUE) by statistical area and fishing year. CPUE in this table is defined as the catch (in kilograms) from the second table divided by the number of potlifts in the third table. There is a seventh table providing CPUE that has gone through a mathematical procedure called “standardisation” which attempts to factor out aspects of the CPUE which might change over time. The standardisation procedure has been suspended beginning with 2019–20 because there are comparability issues associated with the changeover from paper forms to electronic reporting.

Limited information is available on the understanding and preferences of the young, old, pregnant, and immunocompromised consumers on food safety matters. As such the outcomes of this report will be used to inform NZFS risk management/risk communication activities i.e., the development and implementation of strategies/food safety messaging/campaigns used to engage with YOPI.

The purpose of this project is to review and revise current methods and assumptions in AIM for birth and slaughter dates for individual classes of sheep and beef cattle grown for finishing. The current analysis suggests that a few birth and slaughter variables and assumptions in AIM will need additional consideration.

Development of a software tool to automate the generation of the uncertainty calculation table reported in the national inventory for the agriculture sector of the greenhouse gas inventory.

Within the dairy sector, several databases exist that have recorded farms, animals, and milk production over time, as well as feed use both through time and seasonally. This report assesses the feasibility of combining these databases to provide monthly estimates of feeds (grown on farm and imported) eaten by dairy cows from 1990 to 2020 for different types of farm systems and regions of New Zealand.

The purpose of this project was to evaluate the potential number of livestock carried on lifestyle blocks and blocks of land not included in the sampling frame of the Agricultural Production Survey (APS) and to evaluate the potential impacts on these stocks on agricultural greenhouse gas emissions.