Published March 30, 2020 | Version v1

Identifying drivers of forest resilience in long-term records from the Neotropics

  • 1. University of Oxford
  • 2. Royal Botanic Gardens
  • 3. University of Göttingen
  • 4. University of Leicester
  • 5. El Colegio de la Frontera Sur
  • 6. Centro Universitario de la Defensa
  • 7. University of Amsterdam
  • 8. College of the Northern Border
  • 9. Universidade Estadual do Amapá
  • 10. Northumbria University
  • 11. University of Alaska Fairbanks

Description

Here we use 30 long-term, high-resolution palaeoecological records from Mexico, Central and South America to address two hypotheses regarding possible drivers of resilience in tropical forests as measured in terms of recovery rates from previous disturbances. First, we hypothesise that faster recovery rates are associated with regions of higher biodiversity, as suggested by the insurance hypothesis. And second, that resilience is due to intrinsic abiotic factors that are location specific, thus regions presently displaying resilience in terms of persistence to current climatic disturbances should also show higher recovery rates in the past. To test these hypotheses, we applied a threshold approach to identify past disturbances to forests within each sequence. We then compared the recovery rates to these events with pollen richness before the event. We also compared recovery rates of each site with a measure of present resilience in the region as demonstrated by measuring global vegetation persistence to climatic perturbations using satellite imagery. Preliminary results indeed show a positive relationship between pre-disturbance taxonomic diversity and faster recovery rates. However, there is less evidence to support the concept that resilience is intrinsic to a region; patterns of resilience apparent in ecosystems presently are not necessarily conservative through time.

Notes

Funding provided by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001711
Award Number: P2BEP2_178414

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