NatureJClub
Predicting temporal stability and resilience from resistance and recovery.
Nature · · Journal Article · Open access
Isbell, Mori + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Long-term temporal stability over a quarter century in the world’s longest-running biodiversity experiment is predicted with moderate accuracy from single-year resistance estimates, with only slight improvement when recovery is added.
- Why it matters: The work addresses how temporal stability and resilience relate to their two components—resistance to perturbations and recovery afterward—so we can forecast stability from measurable traits.
- What they did: The authors develop and test predictions linking stability/resilience to resistance and recovery, then use plant productivity data from the biodiversity experiment to model ecosystem- and species-level outcomes.
- The result: Resilience is predicted with moderate accuracy by resistance plus recovery at the ecosystem level, and ecosystem drought resistance can be forecasted by monitoring temporal stability before the drought.
The findingWhy it mattersWhat they didThe result
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- Open access
- 3 cites