Identifying the dispersal model that best approximates real organism behavior

Identify which dispersal modeling framework best captures real organism behavior in metacommunities: local-density-triggered emigration based on resource and predator densities at the donor patch with resettlement in neighboring patches without assessing recipient conditions, or fitness-dependent dispersal formulated as a function of differences between donor and recipient habitat conditions.

Background

The paper’s analyses assume dispersal decisions are driven by local resource and predator densities, with emigrants resettling in neighboring patches without evaluating conditions there. The authors contrast this with fitness-dependent models that base dispersal on differences between donor and recipient habitats, noting that these approaches can yield different coexistence and spatial outcomes.

Given the diversity of ecological contexts and potential limits on organisms’ ability to assess habitat differences at metacommunity scales, the authors explicitly state that determining which dispersal representation best approximates real behavior remains unresolved and likely system-dependent.