Determine Phytoplankton Functional Groups Based on Functional Traits


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Documentation for package ‘algaeClassify’ version 1.2.0

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accum Split a dataframe column with binomial name into genus and species columns. Plots change in species richness over time, generates species accumulation curve, and compares SAC against simulated idealized curve assuming all unique taxa have equal probability of being sampled at any point in the time series. (author Dietmar Straile)
algae_search Compare a genus and species name against the algaebase online database
bestmatch fuzzy partial matching between a scientific name and a list of possible matches
date_mat Transform a phytoplankton timeseries into a matrix of abundances for ordination
genus_species_extract Split a dataframe column with binomial name into genus and species columns.
lakegeneva example dataset from lake Geneva, Switzerland
mean_naomit Compute mean value while ignoring NA's
phyto_ts_aggregate Aggregate phytoplankton timeseries based on abundance. Up to 3 grouping variables can be given: e.g. genus, species, stationid, depth range. If no abundance var is given, will aggregate to presence/absence of grouping vars.
sampeff Visually assess change in sampling effort over time (author: Dietmar Straile)
spp_list_algaebase Wrapper for applying algae_search function to a data.frame that contains phytoplankton species
traitranges surface/volume ratio and max linear dimension criteria for CSR From Reynolds 1988 and Reynolds 2006
traits_to_csr Assign phytoplankton species to CSR functional groups, based on surface to volume ratio and maximum linear dimension ranges proposed by Reynolds et al. 1988;2006
traits_to_csr_df Add CSR functional group classifications to a dataframe of phytoplankton species, based on surface to volume ratio and maximum linear dimension ranges proposed by Reynolds et al. 1988;2006
traits_to_mfg Assign MFG based on binary functional traits and taxonomy (Class and Order)
traits_to_mfg_df Assign morphofunctional groups to a dataframe of functional traits and higher taxonomy