Ecological success of no‐take marine protected areas: Using population dynamics theory to inform a global meta‐analysis

Adaptively managing marine protected areas (MPAs) requires accurately assessing whether established MPAs are achieving their goals of protecting and conserving biomass, especially for harvested populations. Ecological MPA assessments commonly compare inside of the MPA to a reference point outside of...

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Veröffentlicht in:Ecological applications 2024-10, Vol.34 (7), p.e3027-n/a
Hauptverfasser: Hopf, Jess K., Quennessen, Victoria, Ridgway, Jacob, Barceló, Caren, Caltabellotta, Fabio Prior, Farnsworth Hayroyan, Sarah, Garcia, Derek, McLeod, Montana, Lester, Sarah E., Nickols, Kerry, Yeager, Mallarie, White, J. Wilson
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container_end_page n/a
container_issue 7
container_start_page e3027
container_title Ecological applications
container_volume 34
creator Hopf, Jess K.
Quennessen, Victoria
Ridgway, Jacob
Barceló, Caren
Caltabellotta, Fabio Prior
Farnsworth Hayroyan, Sarah
Garcia, Derek
McLeod, Montana
Lester, Sarah E.
Nickols, Kerry
Yeager, Mallarie
White, J. Wilson
description Adaptively managing marine protected areas (MPAs) requires accurately assessing whether established MPAs are achieving their goals of protecting and conserving biomass, especially for harvested populations. Ecological MPA assessments commonly compare inside of the MPA to a reference point outside of and/or before implementation (i.e., calculating “response ratios”). Yet, MPAs are not simple ecological experiments; by design, protected populations interact with those outside, and population dynamic responses can be nonlinear. This complicates assessment interpretations. Here, we used a two‐patch population model to explore how MPA response ratios (outside–inside, before–after, and before–after‐control‐impact [BACI]) for fished populations behave under different conditions, like whether the population is receiving a sustainable larval supply or if it is declining despite protection from harvest. We then conducted a Bayesian evaluation of MPA effects on fish and invertebrate populations based on data collected from 82 published studies on 264 no‐take MPAs worldwide, using the results of an earlier global meta‐analysis as priors. We considered the effects of calculating different summary metrics on these results, drawing on the theoretical insights from our population model as a comparative framework. We demonstrate that not all response ratio comparison types provide the same information: For example, outside–inside and BACI comparisons can fail to detect population decline within MPAs, whereas before–after comparisons likely detect that pattern. Considering these limitations, we nonetheless found that MPAs globally are producing positive outcomes, with on average greater biomass, density, and organism size within their boundaries than reference sites. However, only a small portion of studies (18 of 82) provided the temporal data necessary to determine that protection, on average, has led to increased abundance of populations within MPAs over time. These findings demonstrate the importance of considering the underlying system dynamics when assessing MPA effects. Assuming that large outside–inside or BACI response ratios always reflect large and net positive conservation effects may lead to misleading conclusions, we recommend that: (1) when assessing specific MPA effects, empirical findings be considered alongside theoretical knowledge relevant to that MPA system, and (2) management should respond to the local conditions and outcomes, rather than a blanket ex
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Here, we used a two‐patch population model to explore how MPA response ratios (outside–inside, before–after, and before–after‐control‐impact [BACI]) for fished populations behave under different conditions, like whether the population is receiving a sustainable larval supply or if it is declining despite protection from harvest. We then conducted a Bayesian evaluation of MPA effects on fish and invertebrate populations based on data collected from 82 published studies on 264 no‐take MPAs worldwide, using the results of an earlier global meta‐analysis as priors. We considered the effects of calculating different summary metrics on these results, drawing on the theoretical insights from our population model as a comparative framework. We demonstrate that not all response ratio comparison types provide the same information: For example, outside–inside and BACI comparisons can fail to detect population decline within MPAs, whereas before–after comparisons likely detect that pattern. 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Wilson</creatorcontrib><title>Ecological success of no‐take marine protected areas: Using population dynamics theory to inform a global meta‐analysis</title><title>Ecological applications</title><addtitle>Ecol Appl</addtitle><description>Adaptively managing marine protected areas (MPAs) requires accurately assessing whether established MPAs are achieving their goals of protecting and conserving biomass, especially for harvested populations. Ecological MPA assessments commonly compare inside of the MPA to a reference point outside of and/or before implementation (i.e., calculating “response ratios”). Yet, MPAs are not simple ecological experiments; by design, protected populations interact with those outside, and population dynamic responses can be nonlinear. This complicates assessment interpretations. Here, we used a two‐patch population model to explore how MPA response ratios (outside–inside, before–after, and before–after‐control‐impact [BACI]) for fished populations behave under different conditions, like whether the population is receiving a sustainable larval supply or if it is declining despite protection from harvest. We then conducted a Bayesian evaluation of MPA effects on fish and invertebrate populations based on data collected from 82 published studies on 264 no‐take MPAs worldwide, using the results of an earlier global meta‐analysis as priors. We considered the effects of calculating different summary metrics on these results, drawing on the theoretical insights from our population model as a comparative framework. We demonstrate that not all response ratio comparison types provide the same information: For example, outside–inside and BACI comparisons can fail to detect population decline within MPAs, whereas before–after comparisons likely detect that pattern. Considering these limitations, we nonetheless found that MPAs globally are producing positive outcomes, with on average greater biomass, density, and organism size within their boundaries than reference sites. However, only a small portion of studies (18 of 82) provided the temporal data necessary to determine that protection, on average, has led to increased abundance of populations within MPAs over time. These findings demonstrate the importance of considering the underlying system dynamics when assessing MPA effects. 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Wilson</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ecological success of no‐take marine protected areas: Using population dynamics theory to inform a global meta‐analysis</atitle><jtitle>Ecological applications</jtitle><addtitle>Ecol Appl</addtitle><date>2024-10</date><risdate>2024</risdate><volume>34</volume><issue>7</issue><spage>e3027</spage><epage>n/a</epage><pages>e3027-n/a</pages><issn>1051-0761</issn><eissn>1939-5582</eissn><abstract>Adaptively managing marine protected areas (MPAs) requires accurately assessing whether established MPAs are achieving their goals of protecting and conserving biomass, especially for harvested populations. Ecological MPA assessments commonly compare inside of the MPA to a reference point outside of and/or before implementation (i.e., calculating “response ratios”). Yet, MPAs are not simple ecological experiments; by design, protected populations interact with those outside, and population dynamic responses can be nonlinear. This complicates assessment interpretations. Here, we used a two‐patch population model to explore how MPA response ratios (outside–inside, before–after, and before–after‐control‐impact [BACI]) for fished populations behave under different conditions, like whether the population is receiving a sustainable larval supply or if it is declining despite protection from harvest. We then conducted a Bayesian evaluation of MPA effects on fish and invertebrate populations based on data collected from 82 published studies on 264 no‐take MPAs worldwide, using the results of an earlier global meta‐analysis as priors. We considered the effects of calculating different summary metrics on these results, drawing on the theoretical insights from our population model as a comparative framework. 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Assuming that large outside–inside or BACI response ratios always reflect large and net positive conservation effects may lead to misleading conclusions, we recommend that: (1) when assessing specific MPA effects, empirical findings be considered alongside theoretical knowledge relevant to that MPA system, and (2) management should respond to the local conditions and outcomes, rather than a blanket expectation for positive MPA effects.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>39256998</pmid><doi>10.1002/eap.3027</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2207-2366</orcidid><orcidid>https://orcid.org/0000-0003-3626-5089</orcidid><orcidid>https://orcid.org/0000-0003-3242-2454</orcidid></addata></record>
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subjects adaptive management
Animals
Bayes Theorem
Bayesian theory
before–after‐impact‐control
biomass
Conservation of Natural Resources - methods
fish
Fishes - physiology
invertebrates
Invertebrates - physiology
larvae
marine protected area
marine reserves
meta-analysis
modeling
Models, Biological
Population Dynamics
title Ecological success of no‐take marine protected areas: Using population dynamics theory to inform a global meta‐analysis
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