R code and data supporting: Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders

Vélez, JulianaMcShea, WilliamPukazhenthi, BudhanStevenson, PabloFieberg, John R2023-09-052023-09-052023-09-05https://hdl.handle.net/11299/256296The compressed file (data_programs_output.zip) contains the associated R project, a README file and folders for data, figures, functions, programs, and results. A description of the data and programs (with corresponding input and output files listed) is provided in the README file.The objective of this study was to investigate the association between two measures of disturbance (poaching and livestock) and wild ungulates using data collected with camera traps and autonomous acoustic recording units. We quantified these associations using joint species distribution models (JSDMs) fit to data from multifunctional landscapes of the Orinoquía region of Colombia. We also evaluated the effect of the detection scale of camera traps and acoustic recorders for inferring co-occurrence patterns between wildlife and disturbance factors.Attribution-NonCommercial-NoDerivs 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/autonomous acoustic recording unitscamera trapscommunity ecologyjoint species distribution modelsmachine learningmulti-species occupancypassive acoustic monitoringR code and data supporting: Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recordersDatasethttps://doi.org/10.13020/2jb4-k139