Identifying drivers of forest resilience in long-term records from the Neotropics. (29th April 2020)

• Record Type: Journal Article
• Authors: Adolf, C.; Tovar, C.; Kühn, N.; Behling, H.; Berrío, J. C.; Dominguez-Vázquez, G.; Figueroa-Rangel, B.; Gonzalez-Carranza, Z.; Islebe, G. A.; Hooghiemstra, H.; Neff, H.; Olvera-Vargas, M.; Whitney, B.; Wooller, M. J.; Willis, K. J.
• Is Part Of: Biology letters. Volume 16:Number 4(2020)
• Publication Date: 2020-04-29
• Subjects: resilience -- palaeoecology -- forest -- Neotropics -- disturbance -- pollen; Biology -- Periodicals; 570.5
• DOI: 10.1098/rsbl.2020.0005
• Languages: English
• ISSNs: 1744-9561

Abstract

Abstract : 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 hypothesize 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 richness 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.