forest: forest Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

forest Bayesian Network

Description

Forest biodiversity and structure modulate human health benefits and risks.

Format

A discrete Bayesian network modelling the relationships between forest biodiversity, structure, and human health outcomes across 164 European forest stands. The full model was provided by the authors in a repository. The vertices are:

BasalArea

(0 to 20, 20 to 90.3);

BirdBiophonyPerDay

(Silence prevails, Intermediate, Biophony prevails);

BirdSpeciesDiversity

(4 to 7, 7 to 9, 9 to 12);

CanopyRoughness

(Low, Medium, High);

Condition

(low, high);

CoolingCapacity

(<-10, -10 to -5, -5 to 0, >= 0);

DecidousProportion

(EvergreenOrMixed, DecidousDominated);

DeerAbundance

(0 to 2, 2 to 4, 4 to 8);

DeltaPhysiologicalStress

(Increase, Small decrease, Large decrease);

DeltaPhysStressControl

(0.6 to 1.5);

DeltaPosAffControl

(-35 to -8, -8 to 0, 0 to 8);

DeltaPositiveAffectA1

(Decrease, Small increase, Large increase);

DominantCanopyHeight

(0 to 20, 20 to 39);

DIN

(0, 0 to 0.25, 0.25 to 1, >=1);

DON

(0, 0 to 1, 1 to 3, 3 to 14.3);

DONCorrection

(-0.5 to 0, 0 to 0.5);

EdibleMushroomProductivity

(0 to 4, 4 to 40, 40 to 270);

ForestStandType

(Mature and Natural, Young and Planted);

HeatMortalityForest

(-5 to 0, 0 to 5, 5 to 10, >= 10);

HeatMortalityMacro

(-5 to 0, 0 to 5, 5 to 10, >= 10);

HeatStressForest

(None, Slight, Moderate, Strong, Extreme);

HeatStressMacro

(Slight, Moderate, Strong, Extreme);

ImprovementAnxiety

(Large, Small, Decline);

ImprovementNegativeAffect

(Large, Small, Decline);

ImprovementPhysiologicalStress

(Large, Small, Decline);

ImprovementPositiveAffect

(Large, Small, Decline);

LeafAreaIndex

(0 to 1, 1 to 3, 3 to 7.2);

LymeBorreliosisRisk

(No risk, Low, Medium, High);

MeanLeafSize

(0 to 1500, 1500 to 3000, 3000 to 10500);

MedicinalPlantDiversity

(0 to 0.1, 0.1 to 0.24, 0.24 to 0.8);

MedicinalPlantProductivity

(0 to 3.8, 3.8 to 15, 15 to 102);

MidFrequencyCoverBiophony

(Little diverse, Intermediate, Highly diverse);

MortalityReduction

(-5 to 0, 0 to 5, 5 to 10, >= 10);

MouseAbundance

(0 to 10, 10 to 20, 20 to 30);

MushroomProductivity

(0 to 10, 10 to 80, 80 to 400);

MushroomRelatedHealthBenefits

(Low, Medium, High);

MushroomSpeciesDiversity

(0 to 15, 15 to 30, 30 to 72);

NIP

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

NIPCorrection

(-1 to -0.75, -0.75 to -0.25, -0.25 to 0.25, 0.25 to 0.75, 0.75 to 1.05);

PerceivedAcousticDiversity

(1 to 2, 2, 2 to 5);

PerceivedArtificialness

(Low, Medium, High);

PerceivedBiodiversity

(Low, Medium, High);

PerceivedDensity

(Low, Medium, High);

PlotLevelPolyphenolContent

(0 to 34, 34 to 600, 600 to 6000);

PM100Deposition

(0 to 0.05, 0.05 to 0.15, 0.15 to 0.95);

PM10Deposition

(0 to 0.035, 0.035 to 0.1, 0.1 to 0.35);

PM10InsideForest

(4.77137 to 15, 15 to 20, 20 to 30);

PM10OutsideForest

(10 to 15, 15 to 20, 20 to 30);

PM2.5Deposition

(0 to 0.02, 0.02 to 0.07, 0.07 to 0.25);

PM2.5InsideForest

(1.24706 to 7.5, 7.5 to 10, 10 to 15);

PM2.5OutsideForest

(5 to 7.5, 7.5 to 10, 10 to 15);

PolyphenolRelatedHealthBenefits

(Negligible, LowToMedium, High);

RelativeHumidity

(0 to 80, 80 to 100);

RestorativenessA1

(Low, Medium, High);

RestorativenessA2

(Low, Medium, High);

RiskInsideForestPM10

(1 to 1.05, 1.05 to 1.1, 1.1 to 1.15);

RiskInsideForestPM2.5

(1 to 1.1, 1.1 to 1.15, 1.15 to 1.2);

RiskMitigationPM10

(Low, Medium, High);

RiskMitigationPM2.5

(1 to 1.05, 1.05 to 1.1, 1.1 to 1.15);

RiskOutsideForestPM10

(1 to 1.05, 1.05 to 1.1, 1.1 to 1.15);

RiskOutsideForestPM2.5

(1 to 1.1, 1.1 to 1.15, 1.15 to 1.2);

SoilFertility

(Mull - fertile, Rich moder, Poor model or mor - infertile);

StemDensity

(50 to 500, 500 to 2500, 2500 to 12200);

ThermalComfortForest

(Cold, Cool, sCool, Neutral, sWarm, Warm);

ThermalComfortMacro

(Cool, sCool, Neutral, sWarm, Warm, Hot);

ThermalPreferenceForest

(Warmer, No Change, Colder);

ThermalPreferenceMacro

(Warmer, No Change, Colder);

TreeSpeciesDiversity

(Monospecific, Polyspecific);

UnderstoryProductivity

(0 to 25, 25 to 75, 75 to 100);

VocalizingBirdSpeciesDiversity

(4 to 10, 10 to 15, 15 to 25);

Value

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

References

Gillerot, L., Landuyt, D., Bourdin, A., Rozario, K., Shaw, T., Steinparzer, M., ... & Verheyen, K. (2025). Forest biodiversity and structure modulate human health benefits and risks. Nature Sustainability, 1-13.

bnRep documentation built on Nov. 5, 2025, 6:18 p.m.