Data from: Duiker species composition as a predictive indicator of total bushmeat biomass in an African rainforest

This dataset, 'SuuplData.zip', was analysed to estimate population densities and the body mass of five main bushmeat targets in a rainforest of southeast Cameroon: Peters's duikers (Cephalophus callipygus), bay duikers (C. dorsalis), blue duikers (Philantomba monticola), brush-tailed porcupines (Atherurus africanus) and Emin's pouched rats (Cricetomys emini). Based on the density and body mass estimates, we also estimated bushmeat biomass—the total biomass of the five bushmeat species—and its spatial variation. We then examined the correlation between bushmeat biomass and different bushmeat indicators. The ZIP file consists of 10 R script files, three CSV files (in the 'data' subfolder) and 99 stan files (in the 'stan' subfolders). It also has two empty folders, 'figure' and 'res', where the figures and resulting R objects will be stored after analysis. Please see the document 'README_SupplData.pdf' before performing the analysis. This document gives the structure of the ZIP file and a brief description of each file.1. Please proceed with the analyses in the order of the R script file numbers. 2. In 'figure' and 'res' folders and their subfolders, 'dummy.txt' files are created to preserve the folder structure. You may delete these text files after unzipping. Funding provided by: Science and Technology Research Partnership for Sustainable DevelopmentCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100009037Award Number: JPMJSA1702Funding provided by: Japan Society for the Promotion of ScienceCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001691Award Number: 18K14803The two data files—'DetectionData.csv' and 'StayTimeData.csv'—were created based on a camera trap study conducted from September 2018 to February 2019. The 'BodyMassData.csv' contains the body mass data of the hunted animals in the study area. We estimated population density and its spatial variation using the REST model (Nakashima et al. 2018, 2020). The REST model was implemented in a Bayesian framework using Stan. We also used Stan to estimate the mean body mass from the 'BodyMassData.csv'. Bushmeat biomass and bushmeat indicators were calculated based on the MCMC samples of the density and body mass estimation