Bayesian Network Modelling Association

The BNMA BN Repository

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4 BNs found.

Assessing Environmental Injury - Reference Sites Only

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).

Freya E. Rowland, Christopher J. Kotalik, Bruce G. Marcot
CC-BY-ND
Netica .dne format
Rowland, F.E., Kotalik, C.J., Marcot, B.G., Hinck, J.E. & Walters, D.M. (2023) A novel approach to assessing natural resource injury with Bayesian networks. Integrated Environmental Assessment and Management, Wiley Online Library
Earth Science
Ecotoxicology, Environmental Injury, Natural resource damage, Assessment
10.59381/uimycytezw
Assessing Environmental Injury - Main Model

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...>

Freya E. Rowland, Christopher J. Kotalik, Bruce G. Marcot
CC-BY-ND
Netica .dne format
Rowland, F.E., Kotalik, C.J., Marcot, B.G., Hinck, J.E. & Walters, D.M. (2023) A novel approach to assessing natural resource injury with Bayesian networks. Integrated Environmental Assessment and Management, Wiley Online Library
Earth Science
Ecotoxicology, Environmental Injury, Natural resource damage, Assessment
10.59381/mdvbebcutk
BCA_Microctonus_NG_RiskAnalysis

BAIPA (for “Biocontrol Adverse Impact Probability Assessment”) is a new probabilistic tool that assesses the potential unwanted impact of organisms released in biological control programmes on non-target species.

The BN integrates information on the potential of an insect parasitoid used in biological control to: (1) disperse in new habitats; (2) interact with non-target species; and eventually (3) negatively impact the populations of the non-target species.

The two exemplar BNs on this repository assess the potential of an insect parasitoid released for biological control of pasture weevils in New Zealand (Microctonus aethiopoides) to disperse in new habitats, interact with on-target species (native weevils in the genus Nicaeana) , and eventually negatively impact the populations of the non-target species. Two habitats are assessed, low-intensity grazing pastures (LIP) and native grassland (NG - this model). Both models were built with GeNIe <bayesfusion.co...>

Meurisse, Nicolas and Marcot, Bruce G. and Woodberry, Owen and Barratt, Barbara I. P. and Todd, Jacqui H.
CC-BY-NC-ND
GeNIe 2.0 XML format
Meurisse, N., Marcot, B.G., Woodberry, O., Barratt, B.I.P. & Todd, J.H. (2022) Risk Analysis Frameworks Used in Biological Control and Introduction of a Novel Bayesian Network Tool. Risk Analysis, 42(6):1255-1276
Biology > Ecology
BAIPA, ecological risk assessment, nontarget impact, probabilistic risk model
BCA_Microctonus_LIP_RiskAnalysis

BAIPA (for “Biocontrol Adverse Impact Probability Assessment”) is a new probabilistic tool that assesses the potential unwanted impact of organisms released in biological control programmes on non-target species.

The BN integrates information on the potential of an insect parasitoid used in biological control to: (1) disperse in new habitats; (2) interact with non-target species; and eventually (3) negatively impact the populations of the non-target species.

The two exemplar BNs on this repository assess the potential of an insect parasitoid released for biological control of pasture weevils in New Zealand (Microctonus aethiopoides) to disperse in new habitats, interact with on-target species (native weevils in the genus Nicaeana) , and eventually negatively impact the populations of the non-target species. Two habitats are assessed, low-intensity grazing pastures (LIP - this model) and native grassland (NG). Both models were built with GeNIe <bayesfusion.co...>

Meurisse, Nicolas and Marcot, Bruce G. and Woodberry, Owen and Barratt, Barbara I. P. and Todd, Jacqui H.
CC-BY-NC-ND
GeNIe 2.0 XML format
Meurisse, N., Marcot, B.G., Woodberry, O., Barratt, B.I.P. & Todd, J.H. () Risk Analysis Frameworks Used in Biological Control and Introduction of a Novel Bayesian Network Tool. Risk Analysis, n/a(n/a):
Biology > Ecology
BAIPA, ecological risk assessment, nontarget impact, probabilistic risk model