Rs_Reco

GENERAL INFORMATION

1. Title of Dataset: Soil Respiration, Ecosystem Respiration, and Meteorological Variables in Chaparral Shrublands

2. Author Information A. Principal Investigator Contact Information Name: Walter Oechel Institution: San Diego State University Address: Email: woechel@sdsu.edu

   B. Author Contact Information Name: Jessica Montes Institution: San Diego State University Address: Email: jamontes@sdsu.edu

3. Date of data collection (single date, range, approximate date) : 2020-06-01 to 2021-5-21

4. Geographic location of data collection :

This study was conducted at the San Diego State University Sky Oaks Field Station near Warner Springs, CA (33°23′N, 116°38′W, Elevation: 1420 m)

1. Citation for this dataset: Montes, J. (2023). Soil Respiration, Ecosystem Respiration, and Meteorological Variables in Chaparral Shrublands (Version V1). Zenodo. https://doi.org/10.5281/zenodo.10424614

2. DATA & FILE OVERVIEW

3. File List: RsTsSWCdaily.csv This file contains daily mean values of soil respiration (Rs), soil temperature (Ts, measured at 0 cm), soil water content (SWC, measured as average of 0-30 cm), and upscaled soil respiration (Rsupscaled).

RsReco5day.csv This file contains 5-day mean values of ecosystem respiration (Reco), upscaled Rs, Ts, SWC, air temperature (AirT), average rainfall (Rainavg), accumulated rainfall (Rainsum), and the difference between soil and air temperature (Tair_Ts).

RsTsSWC_diurnal.csv This file contains hourly 5-day periods for each month (except September).

RsTsSWCannualmeans.R R code to calculate the annual means of daily Rs, Ts, and SWC values for each microsite: under redshank canopy (AS), under chamise canopy (AF), and inter-canopy soil (BARE). Coefficient of variacion was calculated for the three replicates of each microsite.

Rsresponsemodels.R R code to reproduce and create figures of Rs response models to Ts and SWC.

Ratioresponsemodels.R R code to reproduce and create figures of Rs/Reco ratios response models to Ts, SWC, AirT, Rainavg, Rainsum, and Tair_Ts.

Rsdiurnalresponse_models.R R code to reproduce and create figures of diurnal Rs response to Ts for each month (except September).

1. Relationship between files, if important: The annual averages and coefficient of variance for the three replicates of each microsite were calculated with the files RsTsSWCdaily.csv and RsTsSWCannualmeans.R. 5-day averages of Rs and Reco (RsReco5day.csv) were used to create Rs and Rs/Reco ratios response models to environmental variables (Rsresponsemodels.R and Ratioresponsemodels.R). Diurnal relationships between Rs and Ts for each month were analyzed with the files RsTsSWCdiurnal.csv and Rsdiurnalresponse_models.R.