Mycophagy in primates of the Issa valley, Tanzania
Data files
Sep 15, 2025 version files 48.94 KB
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data_script.zip
28.61 KB
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raw_data.zip
15.20 KB
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README.md
5.12 KB
Abstract
Mycophagy (fungi consumption) is an important animal-ecosystem interaction and provides nutrients for numerous mammalian taxa, such as primates. Although mushroom consumption is a widespread behaviour in about a quarter of all known primate species, surprisingly little is known about their use of mushrooms as either a staple or fallback food, and the relationship between mushroom availability and consumption. We used direct observational data on mushroom consumption in the diet of three sympatric primate species: Chimpanzees (Pan troglodytes schweinfurthii) and Red-tailed monkeys (Cercopithecus ascanius) from 2019-2022, and yellow baboons (Papio cynocephalus) from 2015-2022 in a mosaic woodland habitat in the Issa valley, western Tanzania, to address these gaps. We analysed mushroom consumption patterns and assessed mushroom availability from line transects for a period of 15 months (Oct 2022 – Dec 2023). Our findings show that mushrooms were a consistent dietary component for all three species during the wet season (October-April; chimpanzees – 4 %, baboons – 17 %, and red-tailed monkeys – 4 %), while baboons also continued to consume mushrooms (> 10 % of their annual diet) even when availability was low outside the wet season. This is also the first report of mushroom consumption by a red-tailed monkey. We conclude that mushrooms serve as a fallback resource for Issa chimpanzees and red-tailed monkeys, while they represent a preferred food for Issa baboons. We contextualise mushroom consumption as a potential strategy of niche partitioning to reduce interspecific feeding competition as well as underscore the importance of mycophagy and its role in primate dietary ecology and human evolution.
https://doi.org/10.5061/dryad.d2547d8cj
Description of the data and file structure
This dataset contains data, metadata, and code required to replicate the analyses of the study "Mycophagy in primates of the Issa valley, Tanzania". The primary objective of this research was to investigate the role of mushrooms in the diet of three sympatric primate species (Chimpanzees, Pan troglodytes schweinfurthii; Yellow baboon, Papio cynocephalus; Red-tailed monkey, Cercopithecus ascanius) in Western Tanzania.
Files containing data are all CSV formatted. The script used for the analyses was created in R.
Dates of data collection
- Food consumption data of chimpanzees: 2019-2023
- Food consumption data of red-tailed monkeys: 2019-2023
- Food consumption data of yellow baboons: 2015-2022
- Fruit Availability Index (FAI): 2019-2023
- Rainfall: 2019-2023
- Mushroom availability: 2022-2023
Geographic location of data collection
GMERC, Tanzania
Files and variables
Below is a comprehensive list of the files included in this dataset and their contents:
raw_data.zip
Files: P-troglodytes_2019-2023.csv, C-ascanius_2019-2023.csv, P-cynocephalus_2015-2022.csv
This file contains the raw food consumption data of chimpanzees, red-tailed monkeys, or baboons. It includes month and year in which the data was collected, as well as the total number of feeding events of several food items (e.g., fruit, mushrooms, leaf, ...) that are typically consumed. Food items that appear only once in a while are summarized in other. sum shows the total number of all feeding events.
File: mushroom_density_2022-2023.csv
This file contains the mushroom availability data for the whole study period of mushroom availability (2022-2023). It includes month and year in which the data was collected. Additionally, the total number of observed mushrooms (abundance) and the calculated density as individuals per square meter.
File: transect_mushroom_density_2022-09_2023-08.csv
This file contains mushroom availability data for a part of the study period (2022 - 2023/08). Next to month and year of data collection, it includes the total number of mushrooms observed (mushrooms), density as individuals per square meters, and transect that indicates the place where we walked the transect to count the mushrooms.
File: phenology_fai_2019-2023.csv
This file contains the calculated Fruit Availability Index (FAI) per tree species (Scientific name), including the month and year in which the data was collected, and the basal area and density of the tree (trees/ha).
File: rainfall_2019-2023.csv
This file contains the amount of rain measured per month in millimeters. It includes the month and year in which the amount of rain was measured, as well as rainfall mm.
Processed data
File: primate_rain_fai.csv
This file contains the mushroom consumption, rain data, and FAI used for analysis.
Variables
- month: Month of data collection
- year: Year of data collection
- FAI: Mean fruit availability index per month
- rainfall.mm: Rainfall in millimeters per month
- chimpanzees: Relative mushroom consumption of chimpanzees
- monkeys: Relative mushroom consumption of red-tailed monkeys
- baboons: Relative mushroom consumption of yellow baboons
File: mushroom_density_rain_fai.csv
This file contains the mushroom density, rainfall, and FAI used for analysis.
- year: Year of data collection
- month: Month of data collection
- mushrooms: Total number of mushrooms available
- density: Mushroom density as individuals per square meter
- rainfall: Rainfall in millimeters per month
- fai: Mean fruit availability index per month
File: mushroom_density_transect.csv
This file contains mushroom density for only a part of the study period (2022-08/2023), including information about the transects used for analysis.
- Year: Year of data collection
- Month: Month of data collection
- Transect: Transect in which the data was collected
- Abundance: Total number of mushrooms available
- Density: Mushroom density as individuals per square meter
Missing values
"NA" indicates that no data were collected.
"0" indicates a recorded absence (e.g., no mushrooms, fruits, ...).
Code/software
To view and analyze the data, the software R (version 4.4.2) is recommended. This was used for data analysis, including the following packages:
tidyversereshapedunn.testdplyr
The data_script.zip file contains an R project with all necessary scripts and data files for analysis. Open the proj.1.Rproj file in RStudio to access the full project setup. Please note that the main script (script.R) does not open automatically when the project is loaded. You need to open it manually via the Files tab in RStudio.
The specific workflow that was used to process and analyze the data is documented in script.R.
