Experimental evidence for the desynchronization of ecosystem dynamics by global change

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 ..., High frequency monitoring of oxygen during several months in two independant mesocosm experiments.
, , # 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 four columns:

* Bac: 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

#### File: DATAexpe2.Rdata

**Description:** 

One row is one measurement of oxygen saturation.

The dataset includes four columns:

* PondID: the id of the experimental pond
* Hour: is the d...,