View source: R/sumQuadGuilds.R
sumQuadGuilds | R Documentation |
This function summarizes output from joinQuadData and calculates average cover and quadrat frequency for each guild. Average cover is corrected for number of quadrats sampled. Guilds are tree, shrub, forb, fern, and graminoid. If herbaceous guild is split, then cover of ferns does not overlap with cover of herbaceous. If herbaceous guild is not split, then cover of herbaceous guild includes fern and other herbaceous (but not graminoid) species cover. Only works for complete events, but does include plots where a few quadrats were not sampled. Note that this function does not account for changes in the indicator list over time. Sampleing in 2019, all woody species were sampled in quadrats, and will show a large increase in tree and shrub cover as a result. Seedling cover recorded in the quadrat seedlings tab are not summarized here. For more information on how the indicator list has changed over time in MIDN, refer to Table S17.4 in the Summary of Major Protocol Changes and Deviations document located in the Long-Term Forest Monitoring Protocol IRMA Project: https://irma.nps.gov/Datastore/Reference/Profile/2189101.
sumQuadGuilds(
park = "all",
from = 2007,
to = as.numeric(format(Sys.Date(), "%Y")),
QAQC = FALSE,
panels = 1:4,
locType = c("VS", "all"),
speciesType = c("all", "native", "exotic", "invasive"),
splitHerb = TRUE,
...
)
park |
Combine data from all parks or one or more parks at a time. Valid inputs:
|
from |
Year to start analysis, ranging from 2007 to current year |
to |
Year to stop analysis, ranging from 2007 to current year |
QAQC |
Allows you to remove or include QAQC events.
|
panels |
Allows you to select individual panels from 1 to 4. Default is all 4 panels (1:4). If more than one panel is selected, specify by c(1, 3), for example. |
locType |
Allows you to only include plots that are part of the GRTS sample design or include all plots, such as deer exclosures.
|
speciesType |
Allows you to filter on native, exotic or include all species.
|
splitHerb |
TRUE/FALSE. If TRUE (Default), splits the herbaceous group into forb and fern. If FALSE, then resulting data frame will be summarized for tree, shrub, herbaceous, and graminoid guilds. |
... |
Other arguments passed to function. |
Returns a data frame with average quadrat cover, percent quadrat frequency and quadrat frequency count for tree, shrub/vine, herbaceous, and graminoid for each plot visit. Data are either summarized for all species, native only, exotic only, or invasive only.
## Not run:
importData()
# compile invasive quad data for all parks and most recent survey. Keep ferns in with herbs
inv_guilds <- sumQuadGuilds(speciesType = 'invasive', from = 2015, to = 2018, splitHerb = FALSE)
# compile native quad data for more recent survey in BOWA, with ferns and forbs split in separate guilds
BOWA_guilds <- sumQuadGuilds(speciesType = 'native', from = 2015, to = 2018, splitHerb = TRUE)
## End(Not run)
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