Data · dataset · 2022
Data from: A global meta-analysis on the ecological drivers of forest restoration success
Listed in e-cienciaDatos
Two billion ha have been identified globally for forest restoration.
Description
Our meta-analysis encompassing 221 study landscapes worldwide reveals forest restoration enhances biodiversity by 15–84% and vegetation structure by 36–77%, compared with degraded ecosystems. For the first time, we identify the main ecological drivers of forest restoration success (defined as a return to a reference condition, that is, old-growth forest) at both the local and landscape scale.
These are as follows: the time elapsed since restoration began, disturbance type and landscape context. The time elapsed since restoration began strongly drives restoration success in secondary forests, but not in selectively logged forests (which are more ecologically similar to reference systems). Landscape restoration will be most successful when previous disturbance is less intensive and habitat is less fragmented in the landscape.
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Restoration does not result in full recovery of biodiversity and vegetation structure, but can complement old-growth forests if there is sufficient time for ecological succession. | Crouzeilles_et_al_R code for Meta-Analyses Crouzeilles_et_al_R code for Model Selection Analyses Meta_analysis Model_Selection_Landscape_5kmradius Model_Selection_Landscape_10kmradius Model_Selection_Landscape_100kmradius References
Links
Where it is published
- Dataverse dataset page edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi%3A10.5061%2FDRYAD.K3479 ↗
landing page · from edatos consorciomadrono es
- DOI doi.org/10.5061/dryad.k3479 ↗
DOI / persistent id · from edatos consorciomadrono es
Catalogue records · 1
- Dataverse API edatos.consorciomadrono.es/api/datasets/:persistentId/?persistentId=doi%3A10.5061%2FDRYAD… ↗
metadata API · from edatos consorciomadrono es
Topics
- Inferred from text
- Forest biodiversity 79%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| e-cienciaDatos | doi:10.5061/DRYAD.K3479 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:300702 | enrichment · edatos consorciomadrono es | taxonomy-embedding@1.1.0 | title+keywords+description (79%) |
| created_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| description | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /description |
| publication_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| title | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /name |
| updated_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 |