Optimising Land-Sea Management for Inshore Coral Reefs.

Management authorities seldom have the capacity to comprehensively address the full suite of anthropogenic stressors, particularly in the coastal zone where numerous threats can act simultaneously to impact reefs and other ecosystems. This situation requires tools to prioritise management interventi...

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Main Authors: Ben L Gilby, Andrew D Olds, Rod M Connolly, Tim Stevens, Christopher J Henderson, Paul S Maxwell, Ian R Tibbetts, David S Schoeman, David Rissik, Thomas A Schlacher
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5072624?pdf=render
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author Ben L Gilby
Andrew D Olds
Rod M Connolly
Tim Stevens
Christopher J Henderson
Paul S Maxwell
Ian R Tibbetts
David S Schoeman
David Rissik
Thomas A Schlacher
author_facet Ben L Gilby
Andrew D Olds
Rod M Connolly
Tim Stevens
Christopher J Henderson
Paul S Maxwell
Ian R Tibbetts
David S Schoeman
David Rissik
Thomas A Schlacher
author_sort Ben L Gilby
collection DOAJ
description Management authorities seldom have the capacity to comprehensively address the full suite of anthropogenic stressors, particularly in the coastal zone where numerous threats can act simultaneously to impact reefs and other ecosystems. This situation requires tools to prioritise management interventions that result in optimum ecological outcomes under a set of constraints. Here we develop one such tool, introducing a Bayesian Belief Network to model the ecological condition of inshore coral reefs in Moreton Bay (Australia) under a range of management actions. Empirical field data was used to model a suite of possible ecological responses of coral reef assemblages to five key management actions both in the sea (e.g. expansion of reserves, mangrove & seagrass restoration, fishing restrictions) and on land (e.g. lower inputs of sediment and sewage from treatment plants). Models show that expanding marine reserves (a 'marine action') and reducing sediment inputs from the catchments (a 'land action') were the most effective investments to achieve a better status of reefs in the Bay, with both having been included in >58% of scenarios with positive outcomes, and >98% of the most effective (5th percentile) scenarios. Heightened fishing restrictions, restoring habitats, and reducing nutrient discharges from wastewater treatment plants have additional, albeit smaller effects. There was no evidence that combining individual management actions would consistently produce sizeable synergistic until after maximum investment on both marine reserves (i.e. increasing reserve extent from 31 to 62% of reefs) and sediments (i.e. rehabilitating 6350 km of waterways within catchments to reduce sediment loads by 50%) were implemented. The method presented here provides a useful tool to prioritize environmental actions in situations where multiple competing management interventions exist for coral reefs and in other systems subjected to multiple stressor from the land and the sea.
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spelling doaj.art-a1b24bb15d744b17a84015a8655c3d1f2022-12-21T20:25:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011110e016493410.1371/journal.pone.0164934Optimising Land-Sea Management for Inshore Coral Reefs.Ben L GilbyAndrew D OldsRod M ConnollyTim StevensChristopher J HendersonPaul S MaxwellIan R TibbettsDavid S SchoemanDavid RissikThomas A SchlacherManagement authorities seldom have the capacity to comprehensively address the full suite of anthropogenic stressors, particularly in the coastal zone where numerous threats can act simultaneously to impact reefs and other ecosystems. This situation requires tools to prioritise management interventions that result in optimum ecological outcomes under a set of constraints. Here we develop one such tool, introducing a Bayesian Belief Network to model the ecological condition of inshore coral reefs in Moreton Bay (Australia) under a range of management actions. Empirical field data was used to model a suite of possible ecological responses of coral reef assemblages to five key management actions both in the sea (e.g. expansion of reserves, mangrove & seagrass restoration, fishing restrictions) and on land (e.g. lower inputs of sediment and sewage from treatment plants). Models show that expanding marine reserves (a 'marine action') and reducing sediment inputs from the catchments (a 'land action') were the most effective investments to achieve a better status of reefs in the Bay, with both having been included in >58% of scenarios with positive outcomes, and >98% of the most effective (5th percentile) scenarios. Heightened fishing restrictions, restoring habitats, and reducing nutrient discharges from wastewater treatment plants have additional, albeit smaller effects. There was no evidence that combining individual management actions would consistently produce sizeable synergistic until after maximum investment on both marine reserves (i.e. increasing reserve extent from 31 to 62% of reefs) and sediments (i.e. rehabilitating 6350 km of waterways within catchments to reduce sediment loads by 50%) were implemented. The method presented here provides a useful tool to prioritize environmental actions in situations where multiple competing management interventions exist for coral reefs and in other systems subjected to multiple stressor from the land and the sea.http://europepmc.org/articles/PMC5072624?pdf=render
spellingShingle Ben L Gilby
Andrew D Olds
Rod M Connolly
Tim Stevens
Christopher J Henderson
Paul S Maxwell
Ian R Tibbetts
David S Schoeman
David Rissik
Thomas A Schlacher
Optimising Land-Sea Management for Inshore Coral Reefs.
PLoS ONE
title Optimising Land-Sea Management for Inshore Coral Reefs.
title_full Optimising Land-Sea Management for Inshore Coral Reefs.
title_fullStr Optimising Land-Sea Management for Inshore Coral Reefs.
title_full_unstemmed Optimising Land-Sea Management for Inshore Coral Reefs.
title_short Optimising Land-Sea Management for Inshore Coral Reefs.
title_sort optimising land sea management for inshore coral reefs
url http://europepmc.org/articles/PMC5072624?pdf=render
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