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Dryad

Tree phenology and abiotic variables 1998-2017 at Ngogo, Kibale National Park, Uganda

Cite this dataset

Potts, Kevin; Watts, David; Langergraber, Kevin; Mitani, John (2020). Tree phenology and abiotic variables 1998-2017 at Ngogo, Kibale National Park, Uganda [Dataset]. Dryad. https://doi.org/10.5061/dryad.gf1vhhmk8

Abstract

Fruit production in tropical forests varies considerably in space and time, with important implications for frugivorous consumers. Characterizing temporal variation in forest productivity is thus critical for understanding adaptations of tropical forest frugivores, yet long-term phenology data from the tropics, in particular from African forests, are still scarce. Similarly, as the abiotic factors driving phenology in the tropics are predicted to change with a warming climate, studies documenting the relationship between climatic variables and fruit production are increasingly important.  Here we present data from 19 years of monitoring the phenology of 20 tree species at Ngogo in Kibale National Park, Uganda. Our aims were to characterize short- and long-term trends in productivity and to understand the abiotic factors driving temporal variability in fruit production. Short-term (month-to-month) variability in fruiting was relatively low at Ngogo, and overall fruit production increased significantly through the first half of the study. Among the abiotic variables we expected to influence phenology patterns (including rainfall, solar irradiance, and average temperature), only average temperature was a significant predictor of monthly fruit production. We discuss these findings as they relate to the resource base of the frugivorous vertebrate community inhabiting Ngogo.

Methods

Fruit presence was monitored monthly between 1998 and 2017 in 717 trees located along a permanent phenology trail. 400 of these trees belonging to species of importance in the diet of chimpanzees and other frugivores were analyzed in this study. We calculated, for each month of the study, a ripe fruit score (RFS), based on a combination of the percentage of stems of species X fruiting in month and the density of species in the habitat. Details of this methodology can be found in the accompanying paper. We gathered rainfall and temperature data directly in the research camp during each morning of the study period. We obtained irradiance data for the Ngogo research site from the Helio-Clim3 Database of Daily Solar Irradiance (maintained by MINES ParisTech-Armines; http://www.soda-is.com). 

Funding

National Geographic Society

Leakey Foundation

Primate Conservation

National Cancer Institute, Award: RO1AG049395

Arizona State University

Wenner-Gren Foundation

Max Planck Society

Yale University

Boston University

American Society of Primatologists

National Science Foundation, Award: BCS‐0215622,IOB‐0516644,SBR‐9253590

University of Michigan–Ann Arbor