Code supporting a paper called "Insights into spatial synchrony enabled by long-term data".

DC Reuman, University of Kansas, [email protected]
JA Walter, UC Davis and University of Virginia
LW Sheppard, Marine Biological Association of the UK
VA Karatayev, University of Kansas
ES Kadiyala, Univrsity of Virginia
AC Lohmann, University of Virginia
TL Anderson, Southern Illinois University, Edwardsville
NJ Coombs, University of Kansas
KJ Haynes, University of Virginia
LM Hallett, University of Oregon
MCN Castorani, University of Virginia

This repository can be used to reproduce the analyses behind the paper "Insights into spatial synchrony enabled by long-term data," which in this case means reproducing the figures. Necessary data are also included in the repository, or scripts are present which cause data to be downloaded automatically from permanent repositories.

The paper "Insights into spatial synchrony enabled by long-term data" has three main sections, on the timescale structure of synchrony, on changes in synchrony, and on mechanisms of synchrony. This repository correspondingly has three directories, each containing subdirectories which correspond to the figures in that section. For some figures, computer code was not used to create the figure, and those figures are not represented here. Each figure subdirectory has a README which explains how to use the materials in that subdirectory to produce the corresponding figure.

All figures were created with R and/or Matlab. For final tests of the code, we used R version 4.3.0 running on Ubuntu linux 18.04 and Matlab 2023b running on Windows 10. Different figures were initially made by different coauthors on different machines, but all code was verified on the setups described above.

See the README within each figure subdirectory for specifics, but R package dependencies are listed at the top of each script.

D.C.R. was partly supported by the U.S. National Science Foundation (NSF) through NSF-OCE award 2023474, and also by the McDonnell Foundation and the Humboldt Foundation. M.C.N.C., E.S.K., and A.C.L. were supported by NSF-OCE award 2023555. J.A.W. was supported by California Department of Fish and Wildlife grant Q2296003 and NSF-OCE 2023555. The Rothamsted Insect Survey, a National Bioscience Resource Infrastructure, is funded by the Biotechnology and Biological Sciences Research Council under the award BBS/E/RH/23NB0006. We thank James Bell for data cooperation and useful discussions. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the other funders.