DigiMic workflows connect microbial consumer-resource models to research questions about community assembly, carbon processing, interaction structure, and stability. These pages define the implementation-independent concepts and reporting choices. Package documentation owns executable instructions for a specific language or API.

Community coalescence

Combine assembled communities, define their shared resource environment, and quantify survival, dominance, competition, and facilitation.

Read the workflow

Carbon-use efficiency

Distinguish species, biomass-weighted, and flux-weighted measures of carbon retained for growth.

Read the workflow

Resource-processing flux

Track uptake, retention, leakage, maintenance, and resource balance from species to whole communities.

Read the workflow

Effective GLV reduction

Summarise resource-mediated effects as local species interactions near a specified MiCRM equilibrium.

Read the workflow

Stability and feasibility

Check equilibria, local recovery, transient amplification, and positive coexistence in full and reduced models.

Read the workflow

Temperature scaling

Define thermal trait responses, distinguish fixed and time-varying environments, and report biological and numerical assumptions.

Read the workflow

Implementations

The DigiMicPy documentation provides the current Python model API and executable examples. The DigiMic.jl repository documents the Julia implementation. Shared scientific aims do not imply numerical or API parity; check the relevant package documentation before applying a workflow.