A dataset containing the abundances of Chlamydomonas terricola growing
in a multi-species community. Includes 17 time steps covering 463 days in two
treatments: LSA ('low' temperature, 'stable' oscillations, and 'absence' of predators)
and LVA ('low' temperature, 'variable' oscillations, and 'absence' of predators).

datasets

Includes a collection of functions presented in "Measuring stability in ecological systems without static equilibria" by Clark et al. (2022) <doi:10.1002/ecs2.4328> in Ecosphere.
These can be used to estimate the parameters of a stochastic state space model (i.e. a model where
a time series is observed with error). The goal of this package is to estimate the variability
around a deterministic process, both in terms of observation error - i.e. variability due to
imperfect observations that does not influence system state - and in terms of process noise - i.e.
stochastic variation in the actual state of the process. Unlike classical methods for estimating
variability, this package does not necessarily assume that the deterministic state is fixed (i.e.
a fixed-point equilibrium), meaning that variability around a dynamic trajectory can be estimated
(e.g. stochastic fluctuations during predator-prey dynamics).

Adam Clark

pttstability

Particle-Takens Stability

dat function

A data frame with 271 rows and 4 variables:<dl>
 <dt>treatment</dt>
<dd>Experimental treatment</dd> <dt>number</dt>
<dd>Replicate number</dd> <dt>time</dt>
<dd>Day of experiment</dd> <dt>Chlamydomonas.terricola</dt>
<dd>Species abundance</dd>
</dl>

Format

Microcosm experimental data — dat

A data frame with 271 rows and 4 variables:<dl>
 <dt>treatment</dt>
<dd>Experimental treatment</dd>

 <dt>number</dt>
<dd>Replicate number</dd>

 <dt>time</dt>
<dd>Day of experiment</dd>

 <dt>Chlamydomonas.terricola</dt>
<dd>Species abundance</dd>


</dl>

dat: Microcosm experimental data

Description

Usage

Arguments

Format