2018
DOI: 10.1111/btp.12560
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Inter‐annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses

Abstract: The timing and quantity of fruit production are major determinants of the functioning of a forest community, but simultaneous analyses of both are rare. We analyzed a ten‐year dataset (2001–2011) of fruit production for 45 tree and liana species from the Nouragues rain forest, French Guiana. We developed a hierarchical Bayesian approach to determine variation in the timing and quantity of fruit production. Our analysis accommodates missing censuses and quantifies variation at seasonal and inter‐annual scales. … Show more

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Cited by 30 publications
(38 citation statements)
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References 67 publications
(135 reference statements)
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“…, Mendoza et al . ). Evolutionary histories and pressures driving flowering and fruiting are likely to be different in forests on different continents and, equally, even at a continental scale, may contrast greatly between West and East Africa (Slik et al .…”
Section: Discussionmentioning
confidence: 97%
“…, Mendoza et al . ). Evolutionary histories and pressures driving flowering and fruiting are likely to be different in forests on different continents and, equally, even at a continental scale, may contrast greatly between West and East Africa (Slik et al .…”
Section: Discussionmentioning
confidence: 97%
“…The research agenda should encourage the standardization of the best methods for each research question and must seek to identify and mitigate sources of noisy data in these inherently complex systems . The inclusion of better biometric expertise in research teams will allow the field to progress in dealing with the imperfect empirical datasets common in large, long-term endeavors (Bush et al 2017, Hudson & Keatley 2010, Mendoza et al 2018.…”
mentioning
confidence: 99%
“…() and Mendoza et al . () focuses on timing and cycles rather than cues of tropical phenology. Using a continental comparison across Africa, Adamescu et al .…”
mentioning
confidence: 99%
“…Using a novel Bayesian model approach, Mendoza et al . () define variation in the timing and quantity of fruit production at seasonal and inter‐annual scales for a 10‐yr data set from an Amazonian forest in Nouragues, French Guiana. They demonstrate that most species vary substantially across years in fruit production, although changes were greater in terms of quantity than of timing.…”
mentioning
confidence: 99%
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