CN_mass_data {NitrogenUptake2016} | R Documentation |
Data: Nutrient concentrations, stable isotope ratios, and biomass from destructive mesocosm harvests
Description
Data: Nutrient concentrations, stable isotope ratios, and biomass from destructive mesocosm harvests
Usage
CN_mass_data
Format
A dataframe with 1192 observations of 16 variables:
- time
Time point of harvest (harvested at one-week intervals)
- new.core.id
Unique mesocosm identifier, including species (SA or DS) and mesocosm number
- depth_bottom
Depth at bottom of sample (only applicable for belowground data)
- sample.type
Sample material; tissue type
- interval
Depth interval for sample; indicates the top and bottom depths (e.g., an entry of "5_10" covers the depth interval from 5-10 cm)
- pool_label
Label for each pool (combination of "sample.type" and "depth_bottom")
- id
Same as "pool_label" but with mesocosm ID included
- species
Spartina alterniflora (SA) or Distichlis spicata (DS)
- d15n
15-N isotope ratio in per mille units
- n_pct
Nitrogen content, decimal fraction (0.015 = 1.5 percent)
- d13c
13-C isotope ratio in per mille units
- c_pct
Carbon content, decimal fraction (0.015 = 1.5 percent)
- total_volume_cm3
Total volume of interval (only applicable for belowground data)
- depth_top
Depth at top of sample (only applicable for belowground data)
- sample.type2
Simplified "sample.type" column; leaf numbers dropped, and belowground stems included as "stems"
- g_core
Total mass (grams) in entire pool; corrects for subsampling of depth intervals
References
Hill, T.D., N.R. Sommer, C.R. Kanaskie, E.A. Santos, A.J. Oczkowski. 2018. Data and source code from: Nitrogen uptake and allocation estimates for Spartina alterniflora and Distichlis spicata. Data In Brief. 21: 466-472. https://doi.org/10.1016/j.dib.2018.09.133.
Hill, T.D., N.R. Sommer, C.R. Kanaskie, E.A. Santos, A.J. Oczkowski. 2018. Nitrogen uptake and allocation estimates for Spartina alterniflora and Distichlis spicata. Journal of Experimental Marine Biology and Ecology 507: 53-60. https://doi.org/10.1016/j.jembe.2018.07.006.
Examples
### export to .csv:
write.csv(CN_mass_data, file = file.path(tempdir(), "CN_mass_data.csv"))