Dutch Elm Disease Sanitation Pressure Checker

Reconcile independently identified Dutch-elm infected material/removal evidence separately from unknown sanitation observations; no disease/vector pressure causality or sanitation prescription. Caller independently verifies units, applicability and matching conditions; no operational recipe, safety certification, causal efficacy or legal/resource classification is inferred.

Description

A sanitation record can compare infected material with material independently recorded as removed.

A sanitation record can compare infected material with material independently recorded as removed.^[1]

Residual known material and unassessed material remain distinct, and this bookkeeping does not establish disease-control success. Use this tool to calculate dutch elm disease sanitation pressure checker from the supplied measurements and assumptions.

When to use Dutch Elm Disease Sanitation Pressure Checker

Use this tool to calculate dutch elm disease sanitation pressure checker from the supplied measurements and assumptions. Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.

How to use Dutch Elm Disease Sanitation Pressure Checker and understand its results

Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.
Enter observedElmInfectedMaterialKg, observedVerifiedRemovedMaterialKg, knownRemovalAssessmentFlags, using the field meanings and rules below, then run the tool.
Read knownResidualElmMaterialKg, unassessedOriginalElmMaterialKg. Interpret the fields using their units, signs and evidence conventions below.
If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.

Input field	Meaning	Value type	Requirement
observedElmInfectedMaterialKg	Observed elm infected material kg	list of number	Required
observedVerifiedRemovedMaterialKg	Observed verified removed material kg	list of number	Required
knownRemovalAssessmentFlags	Known removal assessment flags; binary 1=known, 0=unknown, in the order described below	list of number	Required

Enter nonempty aligned nonnegative infected-material amounts, removed amounts and binary known flags. Where known=1 require removed≤infected; unknown placeholders are not subject to that comparison. Sum known infected-minus-removed amounts as known residual and independently sum original infected amounts at unknown positions as unassessed material. No material units or biological outcome are inferred.

knownResidual=Σ_known(infected_i−removed_i); unassessedMaterial=Σ_unknown(infected_i)

Use the exact units, boundary rules, ordering and missing-evidence conventions above.

Output field	Meaning	Value type
knownResidualElmMaterialKg	Known Residual Elm Material Kg; follow the units, sign, ordering and evidence convention stated above	number
unassessedOriginalElmMaterialKg	Unassessed Original Elm Material Kg; follow the units, sign, ordering and evidence convention stated above	number

json

{
  "input": {
    "observedElmInfectedMaterialKg": [
      2,
      3
    ],
    "observedVerifiedRemovedMaterialKg": [
      1,
      3
    ],
    "knownRemovalAssessmentFlags": [
      1,
      0
    ]
  },
  "output": {
    "knownResidualElmMaterialKg": 1,
    "unassessedOriginalElmMaterialKg": 3
  }
}

Limitations and assumptions

Residual known material and unassessed material remain distinct, and this bookkeeping does not establish disease-control success. Interpretation depends on the units, sampling scope and exact model described above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.

Alternative or Complementary methods

Use Heart Rot Column Height From Conk Position Estimator for this related task: A rot-column estimate needs independently established extents above and below a conk location.

Use Heterobasidion Stump Infection Probability Calculator when its separate inputs and assumptions fit the question: Observed infection incidence counts infected assessed stumps relative to all assessed stumps.

References

Dutch Elm Disease Sanitation Pressure Checker — tool.io

Similar or alternative tools

Heart Rot Column Height From Conk Position Estimator
A rot-column estimate needs independently established extents above and below a conk location.
Heterobasidion Stump Infection Probability Calculator
Observed infection incidence counts infected assessed stumps relative to all assessed stumps.