R/weed-parameters.R

In PROSPER: Simulation of Weed Population Dynamics

#' @title Parameterisations for population dynamic models - Examples
#' @seealso \code{\link{prosper-models}} \code{\link{quanti}}
#' @name weed-parameters
#' @docType data

#' @description PROSPER entails full parameterized models. The parameterisation for these models are described here. 
# @export


#' @details 
#'\enumerate{
#' \item \code{param.LOLRI} entails the data used for the introduction of PERTH by Renton et al. (2011) using the parameters of Pannell et al. (2004). With \code{prosper.LOLRI} one of the PERTH models can be reproduced.
#' \item \code{param.ECHCG} contains parameters for population dynamic of \emph{Echinochloa crus-galli} (Redwitz et al., 2016).
#' \item \code{param.GALAP} contains parameters for population dynamic off \emph{Galium aparine} taken from field experiments (Daedlow, 2015). 
#' }



#' @references 
#'\enumerate{
#' \item Bagavathiannan, MV, Norsworthy, JK (2013) Postdispersal loss of important arable weed seeds in the midsouthern United States. Weed Science, 61(4), 570-579.
#' \item Bosnic, AC, Swanton, C (1997) Influence of Barnyardgrass (Echinochloa crus-galli) Time of Emergence and Density on Corn (Zea mays). Weed Science, 45(2), 276-282.
#' \item Clay, SA, Kleinjan, J, Clay, DE, Forcella, Frank, Batchelor, W (2005) Growth and fecundity of several weed species in corn and soybean. Agronomy journal, 97(1), 294-302.
#' \item Daedlow, D. (2015): About the contribution of seed predation on weed demography. (Doctoral dissertation). University of Rostock, Faculty of Agriculture and Environmental Sciences. GBV Gemeinsamer Verbundkatalog (Accession No. 839752644).
#' \item Ogg, AG, Dawson, JH (1984) Time of emergence of eight weed species. Weed Science, 32(3), 327-335.
#' \item Pannell, DJ, Stewart, V, Bennett, A, Monjardino, M, Schmidt, C, Powles, SB (2004) RIM:a bioeconomic model for integrated weedmanagement of Lolium rigidum in Western Australia. Agricultural Systems, 79, 305-325.
#' \item Redwitz, C von, Pannwitt, H, Gerowitt, B (2016): About the interplay of sensitive and resistant biotypes in weed populations - simulation exercises for Echinochloa crus-galli in maize crops. Julius-Kuehn-Archiv 452, 93-99.
#' \item Renton, M.; Diggle, A.; Manalil, S. & Powles, S. (2011): Does cutting herbicide rates threaten the sustainability of weed management in cropping systems? Journal of Theoretical Biology, 283, 14-27.
#'}




#' @format The provided data are given in tables with 10 columns.
#' \describe{
#' \item{weed}{the weed species.} 
#' \item{crop}{the crop for which the parameters apply, \code{character}.}
#' \item{variable}{the name of the variable, simulation step, \code{character}.}
#' \item{name}{a naming of parameter, like a variable definition, \code{character}.}
#' \item{mean}{the mean of the parameters defined with "name", \code{numeric}.}
#' \item{se}{the standard error of the parameters defined with "name", \code{numeric}.}
#' \item{model}{a (statistical) model to describe a specific simulation step. The model must be constructed of defined parameters with "name", \code{character}.}
#' \item{range_low}{a model might have a minimum level of use, then this value can be defined here, \code{numeric}.}
#' \item{range_up}{a model might have a maximum level of use, then this value can be defined here, \code{numeric}.}
#' \item{source}{if the value is taken from sources not owned by the author they can be named here.}
#' }
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