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Pitcher, C. Roland, Ellis, Nick, Jennings, Simon 
ORCID: https://orcid.org/0000-0002-2390-7225, Hiddink, Jan G., Mazor, Tessa, Kaiser, Michel J., Kangas, Mervi I., McConnaughey, Robert A., Parma, Ana M., Rijnsdorp, Adriaan D., Suuronen, Petri, Collie, Jeremy, Amoroso, Ricardo, Hughes, Kathryn M. and Hilborn, Ray
(2017)
Estimating the sustainability of towed fishing-gear impacts on seabed habitats: a simple quantitative risk assessment method applicable to data-limited fisheries.
Methods in Ecology and Evolution, 8.
472–480.
ISSN 2041-210X
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Abstract
1. Impacts of bottom fishing, particularly trawling and dredging, on seabed (benthic) habitats are commonly perceived to pose serious environmental risks. Quantitative ecological risk assessment can be used to evaluate actual risks and to help guide the choice of management measures needed to meet sustainability objectives. 2. We develop and apply a quantitative method for assessing the risks to benthic habitats by towed bottom-fishing gears. The method is based on a simple equation for relative benthic status (RBS), derived by solving the logistic population growth equation for the equilibrium state. Estimating RBS requires only maps of fishing intensity and habitat type — and parameters for impact and recovery rates, which may be taken from meta-analyses of multiple experimental studies of towed-gear impacts. The aggregate status of habitats in an assessed region is indicated by the distribution of RBS values for the region. The application of RBS is illustrated for a tropical shrimp-trawl fishery. 3. The status of trawled habitats and their RBS value depend on impact rate (depletion per trawl), recovery rate and exposure to trawling. In the shrimp-trawl fishery region, gravel habitat was most sensitive, and though less exposed than sand or muddy-sand, was most affected overall (regional RBS=91% relative to un-trawled RBS=100%). Muddy-sand was less sensitive, and though relatively most exposed, was less affected overall (RBS=95%). Sand was most heavily trawled but least sensitive and least affected overall (RBS=98%). Region-wide, >94% of habitat area had >80% RBS because most trawling and impacts were confined to small areas. RBS was also applied to the region's benthic invertebrate communities with similar results. 4. Conclusions. Unlike qualitative or categorical trait-based risk assessments, the RBS method provides a quantitative estimate of status relative to an unimpacted baseline, with minimal requirements for input data. It could be applied to bottom-contact fisheries worldwide, including situations where detailed data on characteristics of seabed habitats, or the abundance of seabed fauna are not available. The approach supports assessment against sustainability criteria and evaluation of alternative management strategies (e.g. closed areas, effort management, gear modifications).
| Item Type: | Article |
|---|---|
| Additional Information: | Special Feature: Technological Advances at the Interface between Ecology and Statistics © 2016 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.This is an open access article under the terms of the Creative Commons Attribution License,which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Uncontrolled Keywords: | ecosystem-based fishery management,ecological risk assessment,effects of trawling,trawl footprints,benthic fauna,vulnerability indicators,depletion,recovery,resilience,sensitivity |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Marine and Atmospheric Sciences (former - to 2017) Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 29 Nov 2016 00:01 |
| Last Modified: | 22 Oct 2022 01:56 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/61513 |
| DOI: | 10.1111/2041-210X.12705 |
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