Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1111/rec.13251 |
Lizenz  |
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| Titel (primär) | The power of data synthesis to shape the future of the restoration community and capacity |
| Autor | Ladouceur, E.; Shackelford, N. |
| Quelle | Restoration Ecology |
| Erscheinungsjahr | 2021 |
| Department | iDiv; PHYDIV |
| Band/Volume | 29 |
| Heft | 1 |
| Seite von | e13251 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | database, Decade on Ecosystem Restoration, global analyses, meta-analysis, networks, synthesis |
| Abstract | Restoration efforts will be taking place over the next decade(s) in the largest scope and
capacity ever seen. Immense commitments, goals, and budgets are set, with
impactful wide‐reaching potential benefits for people and the environment.
These are ambitious aims for a relatively new branch of science and practice.
It is time for restoration action to scale up, the legacy of which could impact
over 350 million hectares targeted for the U.N. Decade on Ecosystem
Restoration. However, restoration still proceeds on a case‐by‐case, trial by
error basis and restoration outcomes can be variable even under similar
conditions. The ability to put each case into context—what about it worked,
what did not, and why—is something that the synthesis of data across studies can
facilitate. The link between data synthesis and predictive capacity is strong.
There are examples of extremely ambitious and successful efforts to compile
data in structured, standardized databases which have led to valuable insights
across regional and global scales in other branches of science. There is
opportunity and challenge in compiling, standardizing, and synthesizing
restoration monitoring data to inform the future of restoration practice and
science. Through global collation of restoration data, knowledge gaps can be
addressed and data synthesized to advance toward a more predictive science to
inform more consistent success. The interdisciplinary potential of restoration
ecology sits just over the horizon of this decade. Through truly collaborative
synthesis across foci within the restoration community, we have the opportunity
to rapidly reach that potential and achieve extraordinary outcomes together. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23725 |
| Ladouceur, E., Shackelford, N. (2021): The power of data synthesis to shape the future of the restoration community and capacity Restor. Ecol. 29 (1), e13251 10.1111/rec.13251 |
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