Package: ALFAM2 Type: Package Title: Dynamic Model of Ammonia Emission from Field-Applied Manure Version: 4.2.14 Date: 2025-12-05 Authors@R: c(person("Sasha D.", "Hafner", role = c("aut", "cre"), email = "sasha.hafner@bce.au.dk", comment = c(ORCID = "0000-0003-0955-0327")), person("Christoph", "Haeni", role = "aut", comment = c(ORCID = "0000-0003-1458-1849")), person("Roland", "Fuss", role = "aut", email = "roland.fuss@thuenen.de", comment = c(ORCID = "0000-0002-0274-0809")), person("Frederik", "Dalby", role = "aut", comment = c(ORCID = "0000-0003-2437-064X")), person("Johanna", "Pedersen", role = "ctb", comment = c(ORCID = "0000-0002-9026-5031")), person("Valdemar", "Petersen", role = "ctb")) Maintainer: Sasha D. Hafner Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.8), stats Suggests: tinytest, knitr, rmarkdown Description: An implementation of the ALFAM2 dynamic emission model for ammonia volatilization from field-applied animal slurry (manure with dry matter below about 15%). The model can be used to predict cumulative emission and emission rate of ammonia following field application of slurry. Predictions may be useful for emission inventory calculations, fertilizer management, assessment of mitigation strategies, or research aimed at understanding ammonia emission. Default parameter sets include effects of application method, slurry composition, and weather. The model structure is based on a simplified representation of the physical-chemical slurry-soil-atmosphere system. More information is available via citation("ALFAM2"). License: GPL-3 URL: https://github.com/AU-BCE-EE/ALFAM2/, https://projects.au.dk/alfam/ VignetteBuilder: knitr LazyData: true LinkingTo: Rcpp Repository: https://au-bce-ee.r-universe.dev Date/Publication: 2026-04-08 09:26:34 UTC RemoteUrl: https://github.com/au-bce-ee/alfam2 RemoteRef: HEAD RemoteSha: 5a4a6d0d53c8c98110ae8a8a99aed7ab4027d6cf NeedsCompilation: yes Packaged: 2026-07-10 06:58:18 UTC; root Author: Sasha D. Hafner [aut, cre] (ORCID: ), Christoph Haeni [aut] (ORCID: ), Roland Fuss [aut] (ORCID: ), Frederik Dalby [aut] (ORCID: ), Johanna Pedersen [ctb] (ORCID: ), Valdemar Petersen [ctb]