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metaRange  

Framework to Build Mechanistic and Metabolic Constrained Species Distribution Models
View on CRAN: Click here


Download and install metaRange package within the R console
Install from CRAN:
install.packages("metaRange")

Install from Github:
library("remotes")
install_github("cran/metaRange")

Install by package version:
library("remotes")
install_version("metaRange", "1.1.4")



Attach the package and use:
library("metaRange")
Maintained by
Stefan Fallert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-23
Latest Update: 2024-02-09
Description:
Build spatially and temporally explicit process-based species distribution models, that can include an arbitrary number of environmental factors, species and processes including metabolic constraints and species interactions. The focus of the package is simulating populations of one or multiple species in a grid-based landscape and studying the meta-population dynamics and emergent patterns that arise from the interaction of species under complex environmental conditions. It provides functions for common ecological processes such as negative exponential, kernel-based dispersal (see Nathan et al. (2012) ), calculation of the environmental suitability based on cardinal values ( Yin et al. (1995) , simplified by Yan and Hunt (1999) see eq: 4), reproduction in form of an Ricker model (see Ricker (1954) and Cabral and Schurr (2010) ), as well as metabolic scaling based on the metabolic theory of ecology (see Brown et al. (2004) and Brown, Sibly and Kodric-Brown (2012) ).
How to cite:
Stefan Fallert (2023). metaRange: Framework to Build Mechanistic and Metabolic Constrained Species Distribution Models. R package version 1.1.4, https://cran.r-project.org/web/packages/metaRange. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2023-11-23 17:10), 1.0.1 (2023-12-05 16:20)
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