Ecological Stability Metrics
Calculate the asymptotic resilience of a community after disturbance
Calculate dissimilarity
Define parameters that are common to all functions
Calculate coefficient of variation of a vector
Extract the community matrix (B)
Compose a standardized dataframe to be wrangled by the function
Calculate the initial resilience of a community after disturbance
Calculate the invariability of a state variable after disturbance
Calculate the maximal amplification of a community after disturbance
Calculate the overall ecological vulnerability of a community after di...
Calculate the persistence of a state variable over a defined time inte...
Calculate the reactivity of a community after disturbance
Calculate the extent of recovery after disturbance
Calculate the rate of recovery after disturbance
Calculate the resistance of a state variable to disturbance
Organize the response variable upon which the stability metric will be...
Calculate the intrinsic stochastic invariability of a community from i...
Summarize the values of the state variable in a disturbed system into ...
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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>.