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Inter-annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses. Supporting data

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dc.contributor.author Mendoza, Irene en
dc.contributor.author Condit, Richard S. en
dc.contributor.author Wright, S. Joseph en
dc.contributor.author Caubère, Adeline en
dc.contributor.author Châtelet, Patrick en
dc.contributor.author Hardy, Isabelle en
dc.contributor.author Forget, Pierre-Michel en
dc.date.accessioned 2018-02-15T15:51:55Z
dc.date.available 2018-02-15T15:51:55Z
dc.date.issued 2018
dc.identifier.citation Mendoza, Irene, Condit, Richard S., Wright, S. Joseph, Caubère, Adeline, Châtelet, Patrick, Hardy, Isabelle, and Forget, Pierre-Michel. 2018. [Dataset] "<em><a href="https://repository.si.edu/handle/10088/35071">Inter-annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses. Supporting data</a></em>." Distributed by Smithsonian Tropical Research Institute. <a href="https://doi.org/10.25570/STRI/10088/35071">https://doi.org/10.25570/STRI/10088/35071</a> en
dc.description.abstract The timing and quantity of fruit production are major determinants of the functioning of a forest community, but both components are rarely taken into account simultaneously. We aimed at determining fruiting variability in timing and quantity in a rainforest community at two temporal scales: seasonal and inter-annual. We also examined whether dispersal type may influence fruiting variation. We developed a hierarchical Bayesian approach for analyzing a ten-year dataset (2001-2011) of fruit phenology (45 tree and liana species) from the Amazonian forest of Nouragues (French Guiana), with a 29% of censuses lacking. Regarding annual seasonality, the fruiting peak of 49% of species was reached during the peak of the rainy season, which is the most typical pattern of central and eastern Amazon. Most species varied across years in both timing and quantity of fruiting, although seed production showed larger changes. We did not find significant differences in inter-annual variation on fruiting according to the dispersal mode of species. Parameters extracted from the Bayesian models were helpful to classify species according to their degree of variability (low, medium and high) and to distinguish masting events (40% of species). Seed rain at the community level was dominated by 25% of species, which overwhelmingly had abiotic dispersal modes (80%). Our analytical method proved helpful to explore inter-annual variability of the large majority of species in the community, although showed a poor fit for two continuous species. It also allowed overcoming the analytical challenge of lacking censuses, which is a common problem in tropical monitoring. The combination of long-term monitoring of phenology with sophisticated statistical analyses is therefore key for a better understanding of temporal changes in fruiting phenology. Future development of our models will allow forecasting of fruit variation under new climatic conditions, which has critical consequences for depending consumers. en
dc.format text
dc.publisher Smithsonian Tropical Research Institute en
dc.relation.isreferencedby https://doi.org/10.1111/btp.12560 en
dc.subject Amazon Basin en
dc.subject dispersal modes en
dc.subject frugivory en
dc.subject long-term monitoring en
dc.subject phenology en
dc.subject rain forest en
dc.subject seed production en
dc.title Inter-annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses. Supporting data en
dc.type Dataset en
dc.identifier.srbnumber 145305
dc.identifier.doi 10.25570/STRI/10088/35071
dc.description.SIUnit STRI en
dc.description.SIUnit Dataset en


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