The R package pfm provides some utilities for fate modelling, including dealing with FOCUS pesticide fate modelling tools, (currently only TOXSWA cwa and out files), made available under the GNU public license.
The easiest way to install the package is probably to use the r-universe repo:
install.packages("pfm", repos = c("https://jranke.r-universe.dev", "https://cran.r-project.org"))
The packages at R-universe are provided with a slight delay. Alternatively, you
can install the package directly from github, e.g. by using
pak
.
# install.packages("pak")
pak::pak("jranke/pfm")
Please refer to the reference.
One nice example of the usage of this package is the visualisation of a time weighted average for a sawtooth curve obtained from several overlays of mkinfit predictions as shown here.
Calculations of predicted environmental concentrations using this package have been used in some publications by Agroscope.
Korkaric M, Lehto M, Poiger T, de Baan L, Mathis M, Ammann L, Hanke I, Balmer M, Blom JF (2023) Risikoindikatoren für Pflanzenschutzmittel: weiterführende Analysen zur Berechnung. Agroscope Science, 154, 1-48, doi:10.34776/as154g |
Korkaric M, Ammann L, Hanke I, Schneuwly J, Lehto M, Poiger T, de Baan L, Daniel O, Blom JF (2022) Neue Pflanzenschutzmittel-Risikoindikatoren für die Schweiz. Agrarforschung Schweiz 13, 1-10, doi:10.34776/afs13-1 |
Korkaric M, Hanke I, Grossar D, Neuweiler R, Christ B, Wirth J, Hochstrasser M, Dubuis PH, Kuster T, Breitenmoser S, Egger B, Perren S, Schürch S, Aldrich A, Jeker L, Poiger T, Daniel O (2020) Datengrundlage und Kriterien für eine Einschränkung der PSM-Auswahl im ÖLN: Schutz der Oberflächengewässer, der Bienen und des Grundwassers (Metaboliten), sowie agronomische Folgen der Einschränkungen. Agroscope Science, 106, 2020, 1-31. doi:10.34776/as106g |