4.6 Article

ipmr: Flexible implementation of Integral Projection Models in R

Journal

METHODS IN ECOLOGY AND EVOLUTION
Volume 12, Issue 10, Pages 1826-1834

Publisher

WILEY
DOI: 10.1111/2041-210X.13683

Keywords

elasticity; integral projection model; life history; population dynamics; population growth rate; sensitivity; structured populations

Categories

Funding

  1. NERC Independent Research Fellowship [NE/M018458/1]
  2. Alexander von Humboldt Foundation
  3. German Federal Ministry of Education and Research

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Integral Projection Models (IPMs) are a key tool for studying structured population dynamics, with ipmr being a flexible R package for implementing and analyzing complex IPMs efficiently. It can handle a wide range of models and provides methods for demographic analyses and visualization, reducing the time needed to implement general IPMs. Extensive documentation is available for easy reference and access.
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, analysing 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.

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