Knowledge sharing for shared success in the decade on ecosystem restoration
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Authors
2. We emphasize the critical role of knowledge and data sharing to inform synthesis for the most robust restoration science possible. Such synthesis is critical for helping restoration ecologists better understand how context affects restoration outcomes, and to increase predictive capacity of restoration actions. This predictive capacity can help to provide better information for evidence-based decisionmaking, and scale-up approaches to meet ambitious targets for restoration.
3. We advocate for a concerted effort to collate species-level, fine-scale, ecological community data from restoration studies across a wide range of environmental and ecological gradients. Well-articulated associated metadata relevant to experience and social or landscape contexts can further be used to explain outcomes. These data could be carefully curated and made openly available to the restoration community to help to maximize evidence-based knowledge sharing, enable flexible re-use of existing data and support predictive capacity in ecological community responses to restoration actions.
4. We detail how integrated data, analysis and knowledge sharing via synthesis can support shared success in restoration ecology by identifying successful and unsuccessful outcomes across diverse systems and scales. We also discuss potential interdisciplinary solutions and approaches to overcome challenges associated with bringing together subfields of restoration practice. Sharing this knowledge and data openly can directly inform actions and help to improve outcomes for the Decade on Ecosystem Restoration.
Originalsprache | Englisch |
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Aufsatznummer | e12117 |
Zeitschrift | Ecological Solutions and Evidence |
Jahrgang | 3 |
Ausgabenummer | 1 |
Anzahl der Seiten | 9 |
ISSN | 2688-8319 |
DOIs | |
Publikationsstatus | Erschienen - 01.01.2022 |
Bibliographische Notiz
Funding Information:
E.L. is grateful for the support of the Alexander von Humboldt Foundation. E.L., J.M.C., W.S.H., T.M.K, M.G., K.G. and G.P. gratefully acknowledge the support of iDiv funded by the German Research Foundation (DFG–FZT 118, 202548816). M.M.N. thanks the South African Department of Forestry, Fisheries, and the Environment (DFFE) for funding noting that this publication does not necessarily represent the views or opinions of DFFE or its employees. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. government.
Funding Information:
E.L. is grateful for the support of the Alexander von Humboldt Foundation. E.L., J.M.C., W.S.H., T.M.K, M.G., K.G. and G.P. gratefully acknowledge the support of iDiv funded by the German Research Foundation (DFG–FZT 118, 202548816). M.M.N. thanks the South African Department of Forestry, Fisheries, and the Environment (DFFE) for funding noting that this publication does not necessarily represent the views or opinions of DFFE or its employees. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. government.
Publisher Copyright:
© 2022 The Authors. Ecological Solutions and Evidence published by John Wiley & Sons Ltd on behalf of British Ecological Society.
- Ökosystemforschung - data synthesis, dissemination, ecological restoration, evidence-based knowledge, networks, open data, practitioner-scientist collaboration, restoration ecology