Particulate organic carbon sedimentation triggers lagged methane emissions in a eutrophic reservoir
Data files
Abstract
Reservoirs act as carbon sinks when sedimentation of particulate organic carbon (POC) exceeds CO2 and CH4 emissions. Here, we study the poorly explored process where phytoplankton-derived acidic polysaccharides (APs) aggregate into particulate organic matter, promoting carbon export to sediments. This source of particulate organic carbon (POC) in sediments can mineralize to CO2 and CH4 over various timescales. Our research, centered on a Mediterranean reservoir, elucidates phenological trends of APs and POC sedimentation and identifies their predominant drivers. Our findings present synchronic sedimentation patterns of POC and APs but identify a two-week delay between POC sedimentation and CH4 emissions. Despite its eutrophic status, our data demonstrate that this reservoir acts as a carbon sink by sequestering 4.33 g C m-2 y-1, which accentuates the importance of temporal integration at multiple scales when analyzing carbon budget within reservoirs.
README: Particulate organic carbon sedimentation triggers lagged methane emissions in reservoirs
https://doi.org/10.5061/dryad.73n5tb33m
AUTHORS:
Andrés Martínez-García, Ignacio Peralta-Maraver, Eva Rodríguez-Velasco, Gema L. Batanero, Miriam García-Alguacil, Félix Picazo, Juan Calvo, Rafael Morales-Baquero, Francisco J. Rueda, Isabel Reche
FILES:
Contains 2 files:
1. Script.r - R script to replicates analyses and the figures including:
Figure 2: Seasonal variation in sedimentation rates of acidic polysaccharides (APs) and particulate organic carbon (POC).
Figure 3: Seasonal variations in the primary predictors influencing the sedimentation rates of acidic polysaccharides (APs) and particulate organic carbon (POC).
Figure 3: Regression analysis showing the primary predictors of sedimentation rates for acidic polysaccharides (APs) and particulate organic carbon (POC).
Figure 4: Seasonal dynamics of POC sedimentation rate and CO2 emissions.
2. Dataset with three sheets
2.1. Sheet 1 - time_series: Contains information of the sampled variables during the study period.
Columns:
date: date of sampling
zone: sampled depth
state: mixing vs. stratifying period
aps_c: concentration of acid polysaccharides
aps_f: flux of acid polysaccharides
pom_c: concentration of particulate organic carbon
pom_f: flux of particulate organic carbon
chla: concentration of chlorophyll-a
cations: disolved divalent cations
pa: prokaryotic abundance
cya: cyanobacteria abundance
2.2. Sheet 2 - GHGs emission: Data on greenhouse gas emissions within the studied system.
Columns:
date: date of sampling.
**IMPORTANT NOTE: **empty cells in dataset represent missing values