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      Soil seed bank characteristics at different developmental stages in pine and oak forests and its potential in vegetation restoration

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          Most cited references51

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          THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1

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            Seed Size and Shape Predict Persistence in Soil

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              Is Open Access

              A global meta-analysis on the ecological drivers of forest restoration success

              Two billion ha have been identified globally for forest restoration. 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. 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.

                Author and article information

                Journal
                Plant and Soil
                Plant Soil
                Springer Science and Business Media LLC
                0032-079X
                1573-5036
                April 2024
                December 08 2023
                April 2024
                : 497
                : 1-2
                : 535-548
                Article
                10.1007/s11104-023-06410-y
                8581e5a2-c96c-45cd-9eaf-2c1021961cec
                © 2024

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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