Advancing restoration ecology: A new approach to predict time to recovery

Published on Jan 1, 2019in Journal of Applied Ecology5.782
· DOI :10.1111/1365-2664.13254
Knut Rydgren3
Estimated H-index: 3
Rune Halvorsen20
Estimated H-index: 20
(AMNH: American Museum of Natural History)
+ 4 AuthorsJan Sulavik1
Estimated H-index: 1
(AMNH: American Museum of Natural History)
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1. Predicting restoration outcomes requires an understanding of the natural variability of ecosystem properties. A hierarchy of predictability has been proposed that ranks measures of restoration success from most-to-least predictable in the following order: vegetation structure > taxonomic diversity > functional diversity > taxonomic composition. This hierarchy has not been tested empirically, and the location within the hierarchy of trait-based measures, such as community-level trait means and...
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Temperate woodlands are one of the world's ecosystems in greatest need of ecological restoration, but relatively little is known about their floristic recovery dynamics over decadal timescales. From 2000 to 2012, we monitored understory plant communities in a woodland mosaic in Missouri, USA, as it underwent restoration via prescribed, dormant-season burning and mechanical thinning of red cedar (Juniperus virginiana) and exotic shrubs. Native species richness increased linearly by 36% over this ...