sort_response

Organize the response variable upon which the stability metric will be calculated

internal

Standardises and facilitates the use of eleven established stability properties that have been used to assess systems’ responses to press or pulse disturbances at different ecological levels (e.g. population, community). There are two sets of functions. The first set corresponds to functions that measure stability at any level of organisation, from individual to community and can be applied to a time series of a system’s state variables (e.g., body mass, population abundance, or species diversity). The properties included in this set are: invariability, resistance, extent and rate of recovery, persistence, and overall ecological vulnerability. The second set of functions can be applied to Jacobian matrices. The functions in this set measure the stability of a community at short and long time scales. In the short term, the community’s response is measured by maximal amplification, reactivity and initial resilience (i.e. initial rate of return to equilibrium). In the long term, stability can be measured as asymptotic resilience and intrinsic stochastic invariability. Figueiredo et al. (2025) <doi:10.32942/X2M053>.

Ludmilla Figueiredo

estar

Ecological Stability Metrics

Viktoriia Radchuk

Cédric Scherer

sort_response function

<dl><dt>response</dt>
<dd>a string stating whether the values of the state variable in
the disturbed scenario (<code>response == "v"</code>) or its log ratio in relation
to baseline should be taken as the response used to calculate the metric.</dd>
<dt>dts_df</dt>
<dd>the internal dataframe composed from the inputs regarding the
disturbed scenario</dd>
<dt>vb_i</dt>
<dd>a numeric vector containing the state variable in the baseline,
a string for the name of the column in <code>b_data</code> containing said
variable in the baseline, or default <code>NULL</code>, if a separate baseline
is not being used.</dd>
<dt>tb_i</dt>
<dd>an optional numeric vector containing the time steps for which
the baseline was measured, or a string containing the name of the column in
<code>b_data</code>.</dd>
<dt>b_data</dt>
<dd>an optional data frame containing the time-series of the
baseline values of the state variable. Time and value columns must be named
<code>tb_i</code> and <code>vb_i</code>, respectively.</dd></dl>

Arguments

Organize the response variable upon which the stability metric will be calculated — sort_response

<dl>

<dt>response</dt>
<dd>a string stating whether the values of the state variable in
the disturbed scenario (<code>response == "v"</code>) or its log ratio in relation
to baseline should be taken as the response used to calculate the metric.</dd>


<dt>dts_df</dt>
<dd>the internal dataframe composed from the inputs regarding the
disturbed scenario</dd>


<dt>vb_i</dt>
<dd>a numeric vector containing the state variable in the baseline,
a string for the name of the column in <code>b_data</code> containing said
variable in the baseline, or default <code>NULL</code>, if a separate baseline
is not being used.</dd>


<dt>tb_i</dt>
<dd>an optional numeric vector containing the time steps for which
the baseline was measured, or a string containing the name of the column in
<code>b_data</code>.</dd>


<dt>b_data</dt>
<dd>an optional data frame containing the time-series of the
baseline values of the state variable. Time and value columns must be named
<code>tb_i</code> and <code>vb_i</code>, respectively.</dd>

</dl>

sort_response: Organize the response variable upon which the stability metric will be calculated

Description

Usage

Value

Arguments