| Kategorie |
Textpublikation |
| Referenztyp |
Zeitschriften |
| DOI |
10.1002/2688-8319.12117
|
Lizenz  |
|
| Titel (primär) |
Knowledge sharing for shared success in the decade on ecosystem restoration |
| Autor |
Ladouceur, E.; Shackelford, N.; Bouazza, K.; Brudvig, L.; Bucharova, A.; Conradi, T.; Erickson, T.E.; Garbowski, M.; Garvy, K.; Harpole, W.S.
; Jones, H.P.; Knight, T.; Nsikani, M.M.; Paterno, G.; Suding, K.; Temperton, V.M.; Török, P.; Winkler, D.E.; Chase, J.M. |
| Quelle |
Ecological Solutions and Evidence |
| Erscheinungsjahr |
2022 |
| Department |
BZF; iDiv; PHYDIV |
| Band/Volume |
3 |
| Heft |
1 |
| Seite von |
e12117 |
| Sprache |
englisch |
| Topic |
T5 Future Landscapes |
| Daten-/Softwarelinks |
https://doi.org/10.6084/m9.figshare.17048207.v2 |
| Keywords |
data synthesis; dissemination; ecological restoration; evidence-based knowledge; networks; open data; practitioner–scientist collaboration; restoration ecology |
| Abstract |
- The Decade on Ecosystem Restoration aims to provide
the means and incentives for upscaling restoration efforts worldwide.
Although ecosystem restoration is a broad, interdisciplinary concept,
effective ecological restoration requires sound ecological knowledge to
successfully restore biodiversity and ecosystem services in degraded
landscapes.
- 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
decision-making, and scale-up approaches to meet ambitious targets for
restoration.
- 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.
- 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.
|
| dauerhafte UFZ-Verlinkung |
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=25574 |
Ladouceur, E., Shackelford, N., Bouazza, K., Brudvig, L., Bucharova, A., Conradi, T., Erickson, T.E., Garbowski, M., Garvy, K., Harpole, W.S., Jones, H.P., Knight, T., Nsikani, M.M., Paterno, G., Suding, K., Temperton, V.M., Török, P., Winkler, D.E., Chase, J.M. (2022):
Knowledge sharing for shared success in the decade on ecosystem restoration
Ecol. Solut. Evid. 3 (1), e12117 10.1002/2688-8319.12117 |
