The Spatially Explicit Fisheries Risk Assessment framework has recently been updated and applied to assess the fisheries risk to seabird populations within the New Zealand EEZ. In the current report, the approach is applied to seabirds globally in the southern hemisphere. Catchabilities were estimated from New Zealand captures. Then global fishing effort and species distributions were collated and used to assess the risk to seabirds from predicted fisheries captures throughout their range.

A novel spatial risk assessment framework is proposed, based on the Spatially Explicit Fisheries Risk Assessment (SEFRA) and the Sustainability Assessment for Fishing Effects (SAFE). Risk is the probability that exploitation exceeds the Impact Sustainability Threshold (IST). Exploitation is estimated from the catchability and effort, using prior information on either the catchability or the population size. It is applied to shark and turtle species with different data characteristics.

This report provides a comprehensive overview of fishery data inputs for assessment of the risk of New Zealand commercial fisheries to New Zealand seabird populations. The risk assessment uses the Spatially Explicit Fisheries Risk Assessment (SEFRA) framework, which requires spatially resolved fishing effort and capture data. These data inputs were extracted from the Protected Species Capture database (version 6; up to and including the 2019/20 fishing year) and prepared for analysis.

This report details an implementation of the Spatially Explicit Fisheries Risk Assessment (SEFRA) framework to seabirds in the New Zealand Exclusive Economic Zone, attempting to quantify the impact of New Zealand commercial fisheries on New Zealand populations of seventy-one seabird species. As part of the project both the biological and fishery input data have been updated, as well as the structure of the model itself.

This report provides a comprehensive overview of biological inputs for assessment of the risk of New Zealand commercial fisheries to New Zealand seabird populations and was generated as part of Fisheries New Zealand project PRO2019-10. The biological inputs were reviewed and updated where necessary, focusing on high-risk or highly abundant species, and restructured for the updated model formulation. The risk assessment model is described in an accompanying AEBR.

This project developed an operating stock assessment model and tested management procedures for pāua quota management area (QMA) PAU 4. Spatial length-based models were conditioned on assumed catch time series, producing stock trajectories and assumed status. Application of control rules led to variable outcomes at the statistical-area scale, but averaged out at a larger scale; trends were stable at the QMA-scale, with a low risk of further declines under trialled harvest control rules.

As part of the development of spatially explicit fisheries risk assessment methodologies for chondrichthyans, spatial distribution modelling methodologies were tested on carpet shark, school shark, great white shark, and green turtle as well as on one simulated dataset. Eight recommendations were made for future distribution models including the need to model a year x space interaction as well as both the probability of presence and catch rate, and the usefulness of simulations.