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Abstract
Current metrics of demographic resilience (e.g., resistance, recovery) summarize the potential responses of populations to the frequent, varied disturbances that ecological systems experience. Much of the application of these metrics has focused on the potential response of time-invariant, density-independent structured population models to hypothetical disturbances. Here, we examine such resilience measures in a flexible structured model with five vital rate parameters. Making one vital rate density-dependent at a time, we show that density dependence has profound and complex impacts on our understanding of resilience. Depending on which vital rate was subject to density effects, existing measures of demographic resilience (compensation, resistance, and recovery time) either increased or decreased with population density. Moreover, the density-independent model under-predicted the recovery time of the corresponding density-dependent model, with a greater offset for species with longer generation times and higher iteroparity. Our findings demonstrate the importance of underlying non-linear processes when examining demographic resilience.
DOI
https://doi.org/10.32942/X23C9R
Subjects
Ecology and Evolutionary Biology, Population Biology
Keywords
amplification, COMADRE, COMPADRE, life history strategy, matrix population model, reactivity, recovery time, transient dynamics, COMADRE, COMPADRE, life history strategy, matrix population model, reactivity, recovery time, transient dynamics
Dates
Published: 2024-09-30 20:39
License
CC-BY Attribution-NonCommercial-ShareAlike 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
None.
Data and Code Availability Statement:
The data that support the findings of this study are openly available at www.compadre-db.org.
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