cal: Calibration data

In phytomosaic/grlyr: Ground Layer Estimation

Description

Calibration data using 150 destructive samples, used to build a calibration model for non-destructive estimation of ground layer biomass, carbon and nitrogen content. Samples were collected in 2012 and 2013 from Oregon and Alaska, USA.

Usage

data(cal)

Format

A data.frame of 150 observations containing columns:
- sampleid unique identifier for each sample;
- plotid unique identifier for each sample location;
- date sampling date;
- year sampling year;
- species 6-digit abbreviation for each species;
- fg abbreviation for functional groups;
- type moss 'm' or lichen 'l' organism type;
- ovendrymass oven-dry mass, in grams;
- depth vertical depth, in centimeters;
- area horizontal area, in square centimeters;
- c total carbon content, as a percentage;
- n total nitrogen content, as a percentage;
- vol volume, in cubic centimeters;
- dens density, in grams per cubic centimeter.

Details

Destructive samples were collected to parameterize a nondestructive estimation model for the US Forest Service's Forest Inventory and Analysis program. The specific FIA protocol is the 'Ground Layer Indicator' (FIA 2018), first implemented as part of the Interior Alaska Inventory beginning in 2014. The calibration model (a negative exponential function) is fully parameterized and described in Smith et al. (2015). The simplified functional groups in this dataset must be crosswalked to their expanded versions prior to estimation.

References

Smith, R.J., J.C. Benavides, S. Jovan, M. Amacher, and B. McCune. 2015. A rapid method for landscape assessment of carbon storage and ecosystem function in moss and lichen ground layers. The Bryologist 118(1): 32–45.

FIA [Forest Inventory and Analysis Program]. 2018. Field Instructions for the Annual Inventory of Alaska 2018: Supplement for Interior Alaska. USDA Forest Service, Pacific Northwest Research Station, Anchorage, Alaska.

phytomosaic/grlyr documentation built on May 25, 2020, 7:04 p.m.