Yoh, N., Haley, C.L., and Burivalova, Z. (2024). Times Series Methods for the Analysis of Soundscapes and Other Cyclical Ecological Data, Methods in Ecology and Evolution [Accepted]
Please find two analysis scripts which aim to characterize and analyze cyclical ecological responses using time series methods. Our framework is based on three approaches: spectral analysis, magnitude squared coherence, and principal component analysis. We provide examples of how to implement our framework using (i) a simulated example and (ii) real world data in the form of soundscape data from tropical forests in Gabon. Data is available for download at https://doi.org/10.5061/dryad.xpnvx0kn6
Please reference the manuscript for more information.
This project was funded by Precious Forests Foundation and Prince Albert II of Monaco Foundation to Z.B. This material is based upon work supported by the U.S. Department of Energy, Office of Science, under contract number DE-AC02-06CH11357. The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).