DOI: 10.5061/dryad.4qrfj6qn3
title: Experimental evidence for the desynchronization of ecosystem dynamics by global change

description: Understanding the coordinated response of ecosystems is fundamental to
 better apprehend ecosystem dynamics under environmental changes. Here, we
 conducted two independent mesocosms experiments to study how warming,
 nutrient enrichment, predator overexploitation, and their combination
 desynchronize freshwater ecosystems by studying high-frequency
 measurements of oxygen dynamics and of their cyclicity at different time
 scales (sub-daily to monthly). Nutrient enrichment desynchronized the
 whole dynamic of oxygen relative to control mesocosms and desynchronized
 oxygen cycles at all time scales, likely due to its effect on primary
 production. Warming and overexploitation only desynchronized oxygen
 cycles, especially at short-term, reflecting alteration of the diel rhythm
 of oxygen dynamic. Lastly, the combination of nutrient enrichment and
 warming dampened desynchronization, whereas the effects of nutrient
 enrichment were accentuated when combined with overexploitation. This
 first empirical evidence of global change impact on ecosystem synchrony
 opens important avenues to identify the destabilizing mechanisms of
 ecosystem functioning at uninvestigated spatio-temporal scales.
description: High frequency monitoring of oxygen during several months in two
 independant mesocosm experiments.
description: # Experimental evidence for the desynchronization of ecosystem dynamics by
 global change
 [https://doi.org/10.5061/dryad.4qrfj6qn3](https://doi.org/10.5061/dryad.4qrfj6qn3) ## Description of the data and file structure The data were collected using high frequency sensors in two independant experiments: Experiment 1 conducted in mesocosms and Experiment 2 conducted in experimental ponds. ### Files and variables #### File: DATAexpe1.Rdata **Description:**  One row is one measurement of oxygen saturation. The dataset includes five columns: * Mesocosm: the id of the mesocosms * Hour: is the date with a format POSIXct with yyyy-mm-dd HH:MM:SS * Treat: is the treatment type that can be Control, Warming, Nutrients, and Combined * O2mean: is the measure of oxygen saturation, hourly aggregated * Day: Day format of the date #### File: DATAexpe1.csv **Description:**  Same as "DATAexpe1.Rdata" but in format ".csv". 
 
 #### File: DATAexpe2.Rdata **Description:**  One row is one measurement
 of oxygen saturation. The dataset includes five columns: * Mesocosm: the
 id of the experimental pond * Hour: is the date with a format POSIXct with
 yyyy-mm-dd HH:MM:SS * Treat: is the treatment type that can be Control,
 Overexploitation, Nutrients, and Combined * O2mean: is the measure of
 oxygen saturation, hourly aggregated * Day: Day format of the date ####
 File: DATAexpe2.csv **Description:**  Same as "DATAexpe2.Rdata"
 but in format ".csv". ## Code/software The scripts were coded
 with R 4.3.2, and the packages used in the scripts are: stringr, dplyr,
 tidyr, ggplot2, readxl, lubridate, lme4, sjPlot, effects, dtw, zoo,
 WaveletComp, pracma The R codes can be found in the file
 "cv_Script_FINAL.R". They are organized to be reproducible for
 Experiment 1 and Experiment 2. 1. Prepare data 2. Cross-correlation
 analyses 3. Wavelet analyses 4. Plots 5. Supplementary analyses