dc.contributor.author
Heger, Tina
dc.contributor.author
Jeschke, Jonathan M.
dc.contributor.author
Febria, Catherine
dc.contributor.author
Kollmann, Johannes
dc.contributor.author
Murphy, Stephen
dc.contributor.author
Rochefort, Line
dc.contributor.author
Shackelford, Nancy
dc.contributor.author
Temperton, Vicky M.
dc.contributor.author
Higgs, Eric
dc.date.accessioned
2025-01-17T08:57:46Z
dc.date.available
2025-01-17T08:57:46Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46294
dc.description.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.
en
dc.format.extent
10 Seiten
dc.rights
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject
conceptual overview
en
dc.subject
evidence‐based restoration
en
dc.subject
interactive online platform
en
dc.subject
knowledge mapping
en
dc.subject
research synthesis
en
dc.subject
science–practice links
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Mapping and assessing the knowledge base of ecological restoration
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2025-01-16T19:24:46Z
dcterms.bibliographicCitation.articlenumber
e13676
dcterms.bibliographicCitation.doi
10.1111/rec.13676
dcterms.bibliographicCitation.journaltitle
Restoration Ecology
dcterms.bibliographicCitation.number
8
dcterms.bibliographicCitation.volume
32
dcterms.bibliographicCitation.url
https://doi.org/10.1111/rec.13676
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Biologie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
1061-2971
dcterms.isPartOf.eissn
1526-100X
refubium.resourceType.provider
DeepGreen