The BNMA BN Repository

This model provides a decision-aiding tool for determining the efficacy of restoring habitat for Song Sparrow populations in riparian (stream-side) environments otherwise degraded from industrial or other activities. Two decision nodes are provided for types of riparian plantings and for soil treatment, along with their utility costs and inflation adjustments.

This model provides a decision advisory tool for determining the efficacy of habitat management for restoring and maintaining brown trout populations in affected stream environments.

This model is a variant of the "Assessing Environmental Injury - Main Model", here for reference sites only, showing the probability of environmental injury on a hypothetical endangered bird species (Pine Dipper) that is potentially affected by stressors from acid mine drainage (AMD) source. The stressors here are copper (Cu) and water pH affecting the Pine Dipper directly and indirectly through macroinvertebrate prey. This was built for the Natural Resource Damage Assessment and Restoration (NRDAR) program in the U.S., and appears as Supporting Information Figure S1 in Rowland et al. (in press).

This model is a proof-of-concept example of how Bayesian networks (BNs) may be helpful in assessing natural resource injury within the Natural Resource Damage Assessment and Restoration (NRDAR) program in the U.S.

The data set for this model can be found at <abnms.org...>