dplyr, zoo, httr, lubridate, neonUtilities (>= 2.0.1),
magrittr, rhdf5 (>= 2.33.7), R.utils, tidyselect, data.table,
rlang, lifecycle

c(person("Rich", "Fiorella", email = "rfiorella@lanl.gov",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0824-4777")))
Functions for downloading,
calibrating, and analyzing atmospheric isotope data bundled
into the eddy covariance data products of the National Ecological
Observatory Network (NEON) <https://www.neonscience.org>.
Calibration tools are provided for carbon and water isotope products.
Carbon isotope calibration details are found in Fiorella et al. (2021)
<doi:10.1029/2020JG005862>, and the readme
file at <https://github.com/lanl/NEONiso>. Tools for calibrating water
isotope products have been added as of 0.6.0, but have known deficiencies
and should be considered very experimental currently.
dplyr, zoo, httr, lubridate, neonUtilities (>= 2.0.1),
magrittr, rhdf5 (>= 2.33.7), R.utils, tidyselect, data.table,
rlang, lifecycle, caret, ggplot2, gridExtra
Rich Fiorella [aut, cre] (<https://orcid.org/0000-0002-0824-4777>)

Calculating effective sizes based on known demographic
parameters of a population
Annegret Grimm, Bernd Gruber & Klaus Henle
NEff is an individual based model. This package uses demographic parameter of a population to calculate annual effective sizes and effective population sizes (per generation). It assumes that no migration and mutation is occurring. A defined number of alleles and loci will be used to simulate the genotypes of the individuals. These results will help managers to define existing populations as viable or not.

Calculating Effective Sizes Based on Known Demographic
Parameters of a Population
Effective population sizes (often abbreviated as "Neff") are essential in biodiversity monitoring and conservation. For the first time, calculating effective sizes with data obtained within less than a generation but considering demographic parameters is possible. This individual based model uses demographic parameters of a population to calculate annual effective sizes and effective population sizes (per generation). A defined number of alleles and loci will be used to simulate the genotypes of the individuals. Stepwise mutation rates can be included. Variations in life history parameters (sex ratio, sex-specific survival, recruitment rate, reproductive skew) are possible. These results will help managers to define existing populations as viable or not.