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The biodiversity benefits of marine protected areas in well-regulated fisheries

Accepted version
Peer-reviewed

Type

Article

Change log

Abstract

There is long-running debate concerning the conservation benefits of marine protected areas (MPAs) in seascapes that are already ‘well-regulated’ by other forms of fisheries management. Resolving this issue is particularly important given recent calls for expanding MPA coverage. Here, we adapt an influential model from agriculture – the land sparing/sharing framework – to an archetypal managed trawl fishery to determine how catches can be obtained at least cost to biodiversity in such seascapes. This new sea sparing/sharing framework fixes catch across scenarios so that fishing effort displacement is not overlooked. We find that a sparing strategy combining MPAs with fishing effort regulation is best for biodiversity when avoiding the local extinction of sensitive species is a priority. However, if there are no sensitive species, or if biodiversity is instead measured in a way that emphasises species abundances, then a sharing strategy relying on fishing effort regulation alone instead prevails. Extending these findings globally to ‘well-regulated’ crustacean trawl fisheries, we find that ≈ 72% may benefit from no-trawl MPAs (≈ 57–100% depending on the methodology chosen). However, these MPAs could also necessitate increased fishing effort if catches are to be maintained. Our framework thus suggests that whether MPAs increase biodiversity in a well-regulated seascape depends heavily on the presence of highly sensitive species there, as well as conservation and management priorities.

Description

Keywords

Marine biodiversity, Fishery management, Marine protected areas, Sustainability, Food security

Journal Title

Biological Conservation

Conference Name

Journal ISSN

0006-3207
1873-2917

Volume Title

Publisher

Elsevier BV
Sponsorship
PE is funded by a Cambridge Australia Poynton Scholarship, AB is supported by a Royal Society Wolfson Research Merit Award, and MHH is funded by an Australian Research Council Discovery Early Career Researcher Award (DE190101416).
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