bnRep (version 0.0.3)

estuary: estuary Bayesian Network

Description

Predicting and scoring estuary ecological health using a Bayesian belief network.

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network to calculate an Estuary Trophic Index (ETI) score ranging between 0 (no symptoms of eutrophication) to 1 (grossly eutrophic) for estuaries in Aotearoa New Zealand. The probabilities were given within the referenced paper. The vertices are:

EstuaryType

(Coastal lake, Tidal lagoon, Tidal river);

Intertidal

(0 to 5, 5 to 40, 40 to 100);

Flushing

(0 to 3, 3 to 6, 6 to 10, More than 10);

Salinity

(0 to 5, 5 to 30, More than 30);

PotentialTNConcentration

(0 to 50, 50 to 100, 100 to 150, 150 to 200, 200 to 300, 300 to 400, 400 to 500, 500 to 600, 600 to 700, 700 to 1000, 1000 to 2000);

Seasonality

(Less than 0.5, 0.5 to 0.65, More than 0.65);

WaterColStratification

(Yes, No);

ClosureDuration

(Open, Short close, Long close);

SedimentLoad

(0 to 1, 1 to 5, 5 to 10, 10 to 20, 20 to 50, 50 to 100, More than 100);

SedTrappingEfficiency

(0 to 0.1, 0.1 to 0.5, 0.5 to 0.85, 0.85 to 0.95, 0.95 to 1);

SedDeposition

(0 to 0.1, 0.1 to 0.5, 0.5 to 1, 1 to 2, 2 to 5, 5 to 10, More than 10);

SedMud

(0 to 12, 12 to 25, 25 to 34, 34 to 100);

Macroalgae

(0.8 to 1, 0.6 to 0.8, 0.4 to 0.6, 0 to 0.4);

Phytoplankton

(0 to 5, 5 to 10, 10 to 15, 15 to 25, 25 to 60, 60 to 100);

MacroalgaeStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

PhytoplanktonStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

ETIPrimaryScore

(0 to 0.1, 0.1 to 0.2, 0.2 to 0.3, 0.3 to 0.4, 0.4 to 0.5, 0.5 to 0.6, 0.6 to 0.7, 0.7 to 0.8, 0.8 to 0.9, 0.9 to 1.0);

Oxygen

(7 to 8, 6 to 7, 5 to 6, 4 to 5);

OxygenStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

SedToc

(0 to 0.5, 0.5 to 1.2, 1.2 to 2, 2 to 10);

SedARPD

(More than 4, 2.5 to 4, 1 to 2.5, Less than 1);

SedARPDStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

SedTocStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

SeagrassDecline

(Extreme, Severe, Moderate, Minor);

SeagrassStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

Macrobenthos

(0 to 1.2, 1.2 to 3.3, 3.3 to 4.3, 4.3 to 7);

MacrobenthosStandardised

(0 to 0.25, 0.25 to 0.5, 0.5 to 0.75, 0.75 to 1);

ETISecondaryScore

(0 to 0.1, 0.1 to 0.2, 0.2 to 0.3, 0.3 to 0.4, 0.4 to 0.5, 0.5 to 0.6, 0.6 to 0.7, 0.7 to 0.8, 0.8 to 0.9, 0.9 to 1.0);

ETIScore

(0 to 0.1, 0.1 to 0.2, 0.2 to 0.3, 0.3 to 0.4, 0.4 to 0.5, 0.5 to 0.6, 0.6 to 0.7, 0.7 to 0.8, 0.8 to 0.9, 0.9 to 1.0);

ETIBand

(A, B, C, D);

References

Zeldis, J. R., & Plew, D. R. (2022). Predicting and scoring estuary ecological health using a Bayesian belief network. Frontiers in Marine Science, 9, 898992.