Stochastic Demography Data for Orchestia gammarellus and Manta alfredi

Matlab scripts and empirical data for applying an integral projection model based on dynamic energy budget theory to two species. The model aims to identify which species is more sensitive to shifts in temporal autocorrelation structure. The dataset includes parameterization data for the terrestrial crustacean Orchestia gammarellus and is authored by Isabel M. Smallegange.

Use Cases

• Compare species sensitivity to environmental autocorrelation based on the described integral projection model.
• Parameterize dynamic energy budget models for crustaceans using the provided empirical data for Orchestia gammarellus.
• Study stochastic population dynamics for marine and terrestrial species based on the model framework.
• Validate integral projection modeling techniques in ecological demography.

Strengths

• Includes empirical parameterization data for Orchestia gammarellus.
• Provides Matlab scripts for implementing the described integral projection model.
• Applies a dynamic energy budget theory framework to growth and reproduction.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Isabel M. Smallegange

Collection Method

Likely involves empirical data collection for model parameterization and script development for simulation.