Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.

Fish biomass is a primary driver of coral reef ecosystem services and has high sensitivity to human disturbances, particularly fishing. Estimates of fish biomass, their spatial distribution, and recovery potential are important for evaluating reef status and crucial for setting management targets. H...

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Main Authors: Timothy R McClanahan, Joseph M Maina, Nicholas A J Graham, Kendall R Jones
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4858301?pdf=render
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spelling doaj-b44fece951194f4a90815a8cd7c8ef382020-11-25T00:42:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01115e015458510.1371/journal.pone.0154585Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.Timothy R McClanahanJoseph M MainaNicholas A J GrahamKendall R JonesFish biomass is a primary driver of coral reef ecosystem services and has high sensitivity to human disturbances, particularly fishing. Estimates of fish biomass, their spatial distribution, and recovery potential are important for evaluating reef status and crucial for setting management targets. Here we modeled fish biomass estimates across all reefs of the western Indian Ocean using key variables that predicted the empirical data collected from 337 sites. These variables were used to create biomass and recovery time maps to prioritize spatially explicit conservation actions. The resultant fish biomass map showed high variability ranging from ~15 to 2900 kg/ha, primarily driven by human populations, distance to markets, and fisheries management restrictions. Lastly, we assembled data based on the age of fisheries closures and showed that biomass takes ~ 25 years to recover to typical equilibrium values of ~1200 kg/ha. The recovery times to biomass levels for sustainable fishing yields, maximum diversity, and ecosystem stability or conservation targets once fishing is suspended was modeled to estimate temporal costs of restrictions. The mean time to recovery for the whole region to the conservation target was 8.1(± 3SD) years, while recovery to sustainable fishing thresholds was between 0.5 and 4 years, but with high spatial variation. Recovery prioritization scenario models included one where local governance prioritized recovery of degraded reefs and two that prioritized minimizing recovery time, where countries either operated independently or collaborated. The regional collaboration scenario selected remote areas for conservation with uneven national responsibilities and spatial coverage, which could undermine collaboration. There is the potential to achieve sustainable fisheries within a decade by promoting these pathways according to their social-ecological suitability.http://europepmc.org/articles/PMC4858301?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Timothy R McClanahan
Joseph M Maina
Nicholas A J Graham
Kendall R Jones
spellingShingle Timothy R McClanahan
Joseph M Maina
Nicholas A J Graham
Kendall R Jones
Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.
PLoS ONE
author_facet Timothy R McClanahan
Joseph M Maina
Nicholas A J Graham
Kendall R Jones
author_sort Timothy R McClanahan
title Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.
title_short Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.
title_full Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.
title_fullStr Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.
title_full_unstemmed Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean.
title_sort modeling reef fish biomass, recovery potential, and management priorities in the western indian ocean.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Fish biomass is a primary driver of coral reef ecosystem services and has high sensitivity to human disturbances, particularly fishing. Estimates of fish biomass, their spatial distribution, and recovery potential are important for evaluating reef status and crucial for setting management targets. Here we modeled fish biomass estimates across all reefs of the western Indian Ocean using key variables that predicted the empirical data collected from 337 sites. These variables were used to create biomass and recovery time maps to prioritize spatially explicit conservation actions. The resultant fish biomass map showed high variability ranging from ~15 to 2900 kg/ha, primarily driven by human populations, distance to markets, and fisheries management restrictions. Lastly, we assembled data based on the age of fisheries closures and showed that biomass takes ~ 25 years to recover to typical equilibrium values of ~1200 kg/ha. The recovery times to biomass levels for sustainable fishing yields, maximum diversity, and ecosystem stability or conservation targets once fishing is suspended was modeled to estimate temporal costs of restrictions. The mean time to recovery for the whole region to the conservation target was 8.1(± 3SD) years, while recovery to sustainable fishing thresholds was between 0.5 and 4 years, but with high spatial variation. Recovery prioritization scenario models included one where local governance prioritized recovery of degraded reefs and two that prioritized minimizing recovery time, where countries either operated independently or collaborated. The regional collaboration scenario selected remote areas for conservation with uneven national responsibilities and spatial coverage, which could undermine collaboration. There is the potential to achieve sustainable fisheries within a decade by promoting these pathways according to their social-ecological suitability.
url http://europepmc.org/articles/PMC4858301?pdf=render
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