SDEF_roots_post_aggregation_by_season_v2: Post-aggregation root data for the SDEF project, aggregated...

In bmcnellis/SDEF.analysis: Data Analysis for 2016 San Dimas Experimental Forest Project

Description

This is the processed root data. Each row is a set of roots at a given (1) site, (2) month, and (3) depth bin. Mean root length, mean root diameter, and total (sum) root biomass at each depth bin for each date and each site is given, along with their respective standard deviations and sample sizes.

Usage

SDEF_roots_post_aggregation_by_season_v2

Format

A data frame of 31 rows and 15 columns.

site

Either 'Adenostoma' or 'Grass'

season_v2

categorical bin, details above

depth_bin

categorical depth, 0-9.99, 10-10.99, etc.

mean_length

average root length of each root group, in mm

sd_length

standard deviation of each root group length, in mm

n_length

sample size of each root group used in length means

mean_diameter

average root diameter of each root group, in mm

sd_diameter

standard deviation of each root group diameter, in mm

n_diameter

sample size of each root group used in diameter means

total_biomass

sum biomass of each root group, in grams

sd_biomass

standard deviation of each root group biomass, in grams

n_biomass

sample size of each root group used in biomass sums

mean_biodensity

mean biodensity of each root group, g cm^-3

sd_biodensity

standard deviation of each root group biodensity, g cm^-3

n_biodensity

sample size of each root group used in mean biodensity

...

Details

Depth bins are as follows:

1: 0 - 9.99 cm below surface level 2: 10 - 19.99 cm 3: 20 - 29.99 cm 4: 30 - 39.99 cm 5: 40 - 49.99 cm 6: 50 - 60 cm

The pre-processing is done in:

'SDEF_roots_pre_process'

and

'SDEF_roots_pre_aggregation'

in that order.

The time aggregation here is one of five options: 'date', 'month', 'season_v1', 'season_v2', and 'season_v3'. Date and month are self explanatory.

'season_v1' aggregates October and December to 'Winter', January and February to 'Early Spring', and March and May to 'Late Spring'.

'season_v2' aggregates October and December to 'Winter', January and February to 'Early Spring', and leaves March and May as months.

'season_v3' aggregates October, December, and January as 'Winter', February and March as 'Early Spring', and leaves May as its own month. May here could also be 'Late Spring'.

Process for making this data set is in 'SDEF_roots_post_aggregation.Rmd'

bmcnellis/SDEF.analysis documentation built on June 4, 2019, 10 a.m.