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      Ecological effects of full and partial protection in the crowded Mediterranean Sea: a regional meta-analysis

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          Abstract

          Marine protected areas (MPAs) are a cornerstone of marine conservation. Globally, the number and coverage of MPAs are increasing, but MPA implementation lags in many human-dominated regions. In areas with intense competition for space and resources, evaluation of the effects of MPAs is crucial to inform decisions. In the human-dominated Mediterranean Sea, fully protected areas occupy only 0.04% of its surface. We evaluated the impacts of full and partial protection on biomass and density of fish assemblages, some commercially important fishes, and sea urchins in 24 Mediterranean MPAs. We explored the relationships between the level of protection and MPA size, age, and enforcement. Results revealed significant positive effects of protection for fisheries target species and negative effects for urchins as their predators benefited from protection. Full protection provided stronger effects than partial protection. Benefits of full protection for fish biomass were only correlated with the level of MPA enforcement; fish density was higher in older, better enforced, and —interestingly— smaller MPAs. Our finding that even small, well-enforced, fully protected areas can have significant ecological effects is encouraging for “crowded” marine environments. However, more data are needed to evaluate sufficient MPA sizes for protecting populations of species with varying mobility levels.

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          Designing marine reserve networks for both conservation and fisheries management.

          Marine protected areas (MPAs) that exclude fishing have been shown repeatedly to enhance the abundance, size, and diversity of species. These benefits, however, mean little to most marine species, because individual protected areas typically are small. To meet the larger-scale conservation challenges facing ocean ecosystems, several nations are expanding the benefits of individual protected areas by building networks of protected areas. Doing so successfully requires a detailed understanding of the ecological and physical characteristics of ocean ecosystems and the responses of humans to spatial closures. There has been enormous scientific interest in these topics, and frameworks for the design of MPA networks for meeting conservation and fishery management goals are emerging. Persistent in the literature is the perception of an inherent tradeoff between achieving conservation and fishery goals. Through a synthetic analysis across these conservation and bioeconomic studies, we construct guidelines for MPA network design that reduce or eliminate this tradeoff. We present size, spacing, location, and configuration guidelines for designing networks that simultaneously can enhance biological conservation and reduce fishery costs or even increase fishery yields and profits. Indeed, in some settings, a well-designed MPA network is critical to the optimal harvest strategy. When reserves benefit fisheries, the optimal area in reserves is moderately large (mode ≈30%). Assessing network design principals is limited currently by the absence of empirical data from large-scale networks. Emerging networks will soon rectify this constraint.
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            Marine reserves: size and age do matter.

            Marine reserves are widely used throughout the world to prevent overfishing and conserve biodiversity, but uncertainties remain about their optimal design. The effects of marine reserves are heterogeneous. Despite theoretical findings, empirical studies have previously found no effect of size on the effectiveness of marine reserves in protecting commercial fish stocks. Using 58 datasets from 19 European marine reserves, we show that reserve size and age do matter: Increasing the size of the no-take zone increases the density of commercial fishes within the reserve compared with outside; whereas the size of the buffer zone has the opposite effect. Moreover, positive effects of marine reserve on commercial fish species and species richness are linked to the time elapsed since the establishment of the protection scheme. The reserve size-dependency of the response to protection has strong implications for the spatial management of coastal areas because marine reserves are used for spatial zoning.
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              Decadal trends in marine reserves reveal differential rates of change in direct and indirect effects.

              Decadal-scale observations of marine reserves suggest that indirect effects on taxa that occur through cascading trophic interactions take longer to develop than direct effects on target species. Combining and analyzing a unique set of long-term time series of ecologic data in and out of fisheries closures from disparate regions, we found that the time to initial detection of direct effects on target species (±SE) was 5.13 ± 1.9 years, whereas initial detection of indirect effects on other taxa, which were often trait mediated, took significantly longer (13.1 ± 2.0 years). Most target species showed initial direct effects, but their trajectories over time were highly variable. Many target species continued to increase, some leveled off, and others decreased. Decreases were due to natural fluctuations, fishing impacts from outside reserves, or indirect effects from target species at higher trophic levels. The average duration of stable periods for direct effects was 6.2 ± 1.2 years, even in studies of more than 15 years. For indirect effects, stable periods averaged 9.1 ± 1.6 years, although this was not significantly different from direct effects. Populations of directly targeted species were more stable in reserves than in fished areas, suggesting increased ecologic resilience. This is an important benefit of marine reserves with respect to their function as a tool for conservation and restoration.
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                Author and article information

                Contributors
                sylvaine.giakoumi1@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 August 2017
                21 August 2017
                2017
                : 7
                : 8940
                Affiliations
                [1 ]ISNI 0000 0001 2112 9282, GRID grid.4444.0, , Université Côte d’Azur, CNRS, FRE 3729 ECOMERS, Parc Valrose, ; 28 Avenue Valrose, 06108 Nice, France
                [2 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, ARC Centre of Excellence for Environmental Decisions, , School of Biological Sciences, The University of Queensland, ; Brisbane, Queensland Australia
                [3 ]ISNI 0000000419368956, GRID grid.168010.e, Hopkins Marine Station, , Stanford University, ; Pacific Grove, CA 93950 USA
                [4 ]ISNI 0000 0001 2112 1969, GRID grid.4391.f, , Oregon State University, ; 3029 Cordley Hall, Corvallis, OR 97331 USA
                [5 ]Muséum National d’Histoire Naturelle, UMR 7208 BOREA, Station Marine de Dinard - CRESCO, 38 Rue du Port Blanc, 35800 Dinard, France
                [6 ]National Center for Scientific Research, PSL Research University, CRIOBE, USR 3278 CNRS-EPHE-UPVD, Perpignan, France
                [7 ]Laboratoire d’Excellence CORAIL, Moorea, French Polynesia
                [8 ]GRID grid.426454.5, , World Wide Fund for Nature (WWF), Via Po 25/C, ; 00198 Rome, Italy
                [9 ]ISNI 0000 0004 1936 9676, GRID grid.133342.4, Bren School of Environmental Science & Management, , University of California, ; Santa Barbara, CA 93117 USA
                [10 ]ISNI 0000 0001 2287 8496, GRID grid.10586.3a, Departamento de Ecología e Hidrología, , Universidad de Murcia, Campus de Espinardo, ; 30100 Murcia, Spain
                [11 ]ISNI 0000 0001 2216 0097, GRID grid.422252.1, , National Geographic Society, ; Washington, DC 20036 USA
                [12 ]CoNISMa (Interuniversitary Consortium of Marine Sciences), Piazzale Flaminio 9, 00196 Rome, Italy
                [13 ]ISNI 0000 0001 2181 8870, GRID grid.5170.3, Centre for Ocean Life, National Institute of Aquatic Resources (DTU-Aqua), , Technical University of Denmark, ; Lyngby, Denmark
                [14 ]Research Unit Biology of Aquatic Organisms and Ecosystems (UMR 7208 BOREA) Sorbonne Universités, MNHN, UPMC, UCN, UA, CNRS, IRD - 43 Rue Cuvier, CP26, 75005 Paris, France
                [15 ]UMS 2006 Patrimoine Naturel - Muséum National d’Histoire Naturelle, CRESCO, 38 Rue du Port Blanc, 35800 Dinard, France
                Author information
                http://orcid.org/0000-0001-6131-4714
                http://orcid.org/0000-0002-5254-5948
                http://orcid.org/0000-0003-3411-7015
                Article
                8850
                10.1038/s41598-017-08850-w
                5566470
                28827603
                6b258aef-2e75-4843-b7f7-11270831f860
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 November 2016
                : 19 July 2017
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