Journal Article

Assessing the relative effects of fishing on the New Zealand marine environment through risk analysis

Marnie L. Campbell and Charmaine Gallagher

in ICES Journal of Marine Science

Published on behalf of ICES/CIEM

Volume 64, issue 2, pages 256-270
Published in print March 2007 | ISSN: 1054-3139
Published online January 2007 | e-ISSN: 1095-9289 | DOI: http://dx.doi.org/10.1093/icesjms/fsl032
Assessing the relative effects of fishing on the New Zealand marine environment through risk analysis

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Campbell, M. L. and Gallagher, C. 2007. Assessing the relative effects of fishing on the New Zealand marine environment through risk analysis – ICES Journal of Marine Science, 64: 256–270.

Risk analysis is a tool often used by management to aid decision-making. We present a risk-analysis framework that was developed to facilitate managing New Zealand fisheries. Using catch-effort and observer data, the likelihood that a certain fishery will impact upon five effects of fishing (EoF) issues (non-target species, biodiversity, habitat, trophic interactions, and legislated protected species) is determined. The consequences (impact and/or change) of such events are then determined to determine a relative risk ranking across fisheries. Consequence matrices were developed to assess each of the five EoF categories. To illustrate the model, a 13-y data set of New Zealand fisheries catch-effort and observer data was analysed, using orange roughy (Hoplostethus atlanticus) as an example fishery. The New Zealand fisheries management framework follows a traditional model in which socio-political imperatives are determined (through risk assessment) after ecological impacts are assessed. By maintaining separation between ecological and socio-political imperatives, a transparent and objective framework is established.

Keywords: fisheries management; impact; New Zealand; orange roughy; protected species; relative risk analysis

Journal Article.  9365 words.  Illustrated.

Subjects: Environmental Science ; Marine and Estuarine Biology

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