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      Mapping and assessing the knowledge base of ecological restoration

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          Abstract

          Information on restoration science and practice is dispersed across large numbers of scientific papers, reports, books, and other resources, and there is a lack of synthetic approaches and of linkages between ecological theory and practice. With recent calls for scaling up ecological restoration, there is an urgent need for improving the effectiveness of restoration ecology by presenting existing knowledge in an organized and accessible form. Practitioners benefit from knowing which theories explain patterns and processes in a specific ecosystem, and scientists need an overview of empirical evidence supporting current theories. Strengthening links between restoration practice and science benefits both areas. Based on a new approach used for organizing and assessing hypotheses in invasion biology, we suggest the development of an interactive online platform that promotes the integration of restoration science and practice by (1) presenting an overview of restoration ecology; (2) mapping theoretical work relevant for ecological restoration; (3) displaying direct links to relevant publications; and (4) providing summaries of empirical evidence for ecological theories in specific settings. This online knowledge base should be developed in an open process, bringing together the restoration community with experts in semantic web and natural language processing, library scientists, web designers, and other specialists. The platform should become an evolving, searchable, openly accessible, and intuitively organized tool for future ecological restoration.

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          Most cited references37

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            Ecology. Synthesizing U.S. river restoration efforts.

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              Toward an Era of Restoration in Ecology: Successes, Failures, and Opportunities Ahead

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                Author and article information

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                Journal
                Restoration Ecology
                Restoration Ecology
                Wiley
                1061-2971
                1526-100X
                April 03 2022
                Affiliations
                [1 ] Biodiversity Research/Botany University of Potsdam Maulbeerallee 2a, 14469 Potsdam Germany
                [2 ] Berlin‐Brandenburg Institute of Advanced Biodiversity Research (BBIB) Königin‐Luise‐Strasse 2–4, 14195 Berlin Germany
                [3 ] Restoration Ecology Technical University of Munich Emil‐Ramann‐Strasse 6, 85350 Freising Germany
                [4 ] Evolutionary and Integrative Ecology Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) Müggelseedamm 310, 12587 Berlin Germany
                [5 ] Department of Biology, Chemistry, Pharmacy Institute of Biology, Freie Universität Berlin Königin‐Luise‐Strasse 1–3, 14195 Berlin Germany
                [6 ] Department of Integrative Biology Great Lakes Institute for Environmental Research, University of Windsor Windsor Ontario N9B 3P4 Canada
                [7 ] Norwegian Institute of Bioeconomy Research (NIBIO) P.O. Box 115, 1431 Ås Norway
                [8 ] School of Environment, Resources & Sustainability University of Waterloo Waterloo Ontario N2L3G1 Canada
                [9 ] Peatland Ecology Research Group, Centre for Northern Studies Université Laval Quebec City Québec G1V 0A6 Canada
                [10 ] School of Environmental Studies University of Victoria Victoria British Columbia V8W 2Y2 Canada
                [11 ] Faculty of Sustainability Institute of Ecology, Leuphana University Lüneburg Universitätsallee 1, 21335 Lüneburg Germany
                Article
                10.1111/rec.13676
                aa3c1fa6-442d-490f-b8ac-ae4f1076e039
                © 2022

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

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