plant: A package for modelling forest trait ecology and evolution
Authored by Ulf Dieckmann, Ake Brannstrom, Daniel S Falster, Richard G FitzJohn, Mark Westoby
Date Published: 2016
DOI: 10.1111/2041-210x.12525
Sponsors:
Australian Research Council (ARC)
Swedish Research Council
Platforms:
C++
R
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
https://github.com/traitecoevo/plant_paper
Abstract
Population dynamics in forests are strongly size-structured: larger
plants shade smaller plants while also expending proportionately more
energy on building and maintaining woody stems. Although the importance
of size structure for demography is widely recognized, many models
either omit it entirely or include only coarse approximations. Here, we
introduce the plant package, an extensible framework for modelling size-
and trait-structured demography, ecology and evolution in simulated
forests. At its core, plant is an individual-based model where plant
physiology and demography are mediated by traits. Individual plants from
multiple species can be grown in isolation, in patches of competing
plants or in metapopulations under a disturbance regime. These dynamics
can be integrated into metapopulation-level estimates of invasion
fitness and vegetation structure. Because fitness emerges as a function
of traits, plant provides a novel arena for exploring eco-evolutionary
dynamics. plant is an open source R package and is available at .
Accessed from R, the core routines in plant are written in C++. The
package provides for alternative physiologies and for capturing
trade-offs among parameters. A detailed test suite is provided to ensure
correct behaviour of the code. plant provides a transparent platform for
investigating how physiological rules and functional trade-offs interact
with competition and disturbance regimes to influence vegetation
demography, structure and diversity.
Tags
Competition
Dynamics
Coexistence
growth
Succession
Hypothesis
Age-related decline
Light requirements
Define fitness
Tree-size