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.
If you are having problems opening this file, you may not have the software on your computer needed to view it. Click the link below to download and install a suitable program.
