R code and data supporting: Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders
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2020-12-01
2021-12-31
2021-12-31
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2023-09-01
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Title
R code and data supporting: Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders
Published Date
2023-09-05
Author Contact
Vélez, Juliana
julianavelezgomez@gmail.com
julianavelezgomez@gmail.com
Type
Dataset
Field Study Data
Statistical Computing Software Code
Field Study Data
Statistical Computing Software Code
Abstract
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.
Description
The 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.
Referenced by
Vélez, J., McShea, W., Pukazhenthi, B., Stevenson, P., & Fieberg, J. (2024). Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders. Conservation Biology, 00, e14218.
https://doi.org/10.1111/cobi.14218
https://doi.org/10.1111/cobi.14218
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Colciencias - Fulbright Scholarship
WWF’s Russell E. Train Education for Nature Program
Interdisciplinary Center for the Study of Global Change Fellowship
Department of Fisheries, Wildlife and Conservation Biology - University of Minnesota
Big Ten Academic Alliance Smithsonian Fellowship
Dayton Bell Museum Fund
Minnesota Agricultural Experimental Station
WWF’s Russell E. Train Education for Nature Program
Interdisciplinary Center for the Study of Global Change Fellowship
Department of Fisheries, Wildlife and Conservation Biology - University of Minnesota
Big Ten Academic Alliance Smithsonian Fellowship
Dayton Bell Museum Fund
Minnesota Agricultural Experimental Station
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Vélez, Juliana; McShea, William; Pukazhenthi, Budhan; Stevenson, Pablo; Fieberg, John R. (2023). R code and data supporting: Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/2jb4-k139.
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README.txt
README file
(6.67 KB)
data_programs_output.zip
R project with associated files
(1.48 GB)
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