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      A quantitative synthesis of approaches, biases, successes, and failures in marine forest restoration, with considerations for future work

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          Abstract

          • Marine forests is a term commonly used for coastal marine habitats formed by dense stands of brown macroalgae, typically consisting of kelp and fucoids. These habitats are highly productive, offer habitat to numerous marine organisms, and support a range of invaluable ecosystem services. Despite their importance, marine forests are declining in many regions around the world as a result of interacting global, regional, and local‐scale stressors. Consequently, interest in restoration as a tool to mitigate these declines and reinstate marine forests is growing.

          • Recent reviews have provided insights into marine forest restoration; however, for the most part, a synthesis of restoration success is lacking. A meta‐analysis and quantitative review of published marine forest restoration efforts was conducted to examine: (i) how restoration affects the abundance and morphology of marine forest species; and (ii) trends in marine forest restoration success.

          • The meta‐analysis of 25 studies revealed that restoration positively influences the abundance and morphology of marine forest species. The quantitative review of 63 studies demonstrated that taxa and restoration technique were important factors influencing restoration success, and revealed a bias towards the monitoring and reporting of abundance and morphological response variables. The review also highlighted a lack of monitoring and/or reporting of environmental variables at restoration sites, and limited comparative research across environmental contexts and restored species.

          • It is shown that successful marine forest restoration is possible at experimental scales, but that better monitoring and reporting of restoration efforts, alongside increased project durations, could improve our understanding of restoration success at the ecosystem level. Considerations for future marine forest restoration efforts are also provided. It is hoped that the review will advance marine forest restoration efforts, allowing the preservation of these valuable ecosystems and their associated services.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Bias in meta-analysis detected by a simple, graphical test

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              Conducting Meta-Analyses inRwith themetaforPackage

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                Author and article information

                Contributors
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                Journal
                Aquatic Conservation: Marine and Freshwater Ecosystems
                Aquatic Conservation
                Wiley
                1052-7613
                1099-0755
                November 2022
                September 19 2022
                November 2022
                : 32
                : 11
                : 1717-1731
                Affiliations
                [1 ] Institute of Biological, Environmental and Rural Sciences Aberystwyth University Aberystwyth UK
                [2 ] The Dove Marine Laboratory, School of Natural and Environmental Sciences Newcastle University Newcastle‐upon‐Tyne UK
                [3 ] Marine Biological Association, The Laboratory, Citadel Hill Plymouth UK
                [4 ] Subtidal Ecology Laboratory, Estación Costera de Investigaciones Marinas, Facultad de Ciencias Biológicas Pontificia Universidad Católica de Chile Santiago Chile
                Article
                10.1002/aqc.3880
                b4f8766d-0ffd-4406-968f-26403835b8c7
                © 2022

                http://creativecommons.org/licenses/by/4.0/

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