| Kategorie |
Textpublikation |
| Referenztyp |
Zeitschriften |
| DOI |
10.1111/2041-210X.13683
|
Lizenz  |
|
| Titel (primär) |
ipmr: Flexible implementation of Integral Projection Models in R |
| Autor |
Levin, S.C.; Childs, D.Z.; Compagnoni, A.; Evers, S.; Knight, T.M.; Salguero-Gómez, R. |
| Quelle |
Methods in Ecology and Evolution |
| Erscheinungsjahr |
2021 |
| Department |
BZF; iDiv |
| Band/Volume |
12 |
| Heft |
10 |
| Seite von |
1826 |
| Seite bis |
1834 |
| Sprache |
englisch |
| Topic |
T5 Future Landscapes |
| Daten-/Softwarelinks |
https://doi.org/10.5281/zenodo.5095062 |
| Supplements |
Supplement 1
Supplement 2
Supplement 3 |
| Keywords |
elasticity, integral projection model, life history, population dynamics, population growth rate, sensitivity, structured populations |
| Abstract |
- Integral projection models (IPMs) are an important tool
for studying the dynamics of populations structured by one or more
continuous traits (e.g. size, height, body mass). Researchers use
IPMs to investigate questions ranging from linking drivers to
population dynamics, planning conservation and management strategies,
and quantifying selective pressures in natural populations. The
popularity of stage-structured population models has been supported by R scripts and packages (e.g.
IPMpack, popbio, popdemo, lefko3) aimed at ecologists, which have
introduced a broad repertoire of functionality and outputs. However,
pressing ecological, evolutionary, and conservation biology topics
require developing more complex IPMs, and considerably more expertise to
implement them. Here, we introduce ipmr, a flexible R package for building, analyzing, and interpreting IPMs.
- The ipmr framework relies on the mathematical notation
of the models to express them in code format. Additionally, this package
decouples the model parameterization step from the model implementation
step. The latter point substantially increases ipmr’s flexibility to
model complex life cycles and demographic processes.
- ipmr can handle a wide variety of models, including
those that incorporate density dependence, discretely and continuously
varying stochastic environments, and multiple continuous and/or discrete
traits. ipmr can accommodate models with individuals cross-classified
by age and size. Furthermore, the package provides methods for
demographic analyses (e.g. asymptotic and stochastic growth rates) and visualization (e.g. kernel plotting).
- ipmr is a flexible R package for integral
projection models. The package substantially reduces the amount of time
required to implement general IPMs. We also provide extensive
documentation with six vignettes and help files, accessible from an R
session and online.
|
| dauerhafte UFZ-Verlinkung |
https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24909 |
Levin, S.C., Childs, D.Z., Compagnoni, A., Evers, S., Knight, T.M., Salguero-Gómez, R. (2021):
ipmr: Flexible implementation of Integral Projection Models in R
Methods Ecol. Evol. 12 (10), 1826 - 1834 10.1111/2041-210X.13683 |
