Woodpecker Foraging Evidence Classes Per Tree

Audit caller independently verified woodpecker foraging evidence class reference. Audit caller independently verified matched reference against actual observation, not a fabricated specification. Caller independently verifies units, applicability and matching conditions; no operational recipe, safety certification, causal efficacy or legal/resource classification is inferred.

Description

Woodpecker foraging indices depend on species, habitat and observation protocol.

Woodpecker foraging indices depend on species, habitat and observation protocol.^[1]

Comparing an observed value with a supplied reference does not identify birds or establish habitat suitability. Use this tool to compare an observation with an exact caller-supplied numeric reference.

When to use Woodpecker Foraging Evidence Classes Per Tree

Use this tool to compare an observation with an exact caller-supplied numeric reference. Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.

How to use Woodpecker Foraging Evidence Classes Per Tree and understand its results

Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.
Enter callerForagingEvidenceIds, callerForagingEvidenceValues, queryForagingEvidenceId, observedForagingEvidenceValue, using the field meanings and rules below, then run the tool.
Read callerMatchedForagingEvidenceValue, signedObservedMinusForagingEvidenceReference. 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
callerForagingEvidenceIds	Caller foraging evidence ids	list of string	Required
callerForagingEvidenceValues	Caller foraging evidence values	list of number	Required
queryForagingEvidenceId	Query foraging evidence id	string	Required
observedForagingEvidenceValue	Observed foraging evidence value	number	Required

Enter nonempty aligned caller reference IDs and numeric reference values, an exact query ID and an observed value on the same unit and protocol basis. Reference values and the observation must be nonnegative; they need not be integers. IDs must be unique and nonblank, with at most 128 UTF-16 units each. The implementation uses case-sensitive exact matching without trimming, returns the matched reference value and subtracts it from the observation. An absent query or duplicate key fails. No regional dataset is installed, retrieved or authenticated.

reference=values[indexOfExact(queryId,ids)]; signedDifference=observed−reference

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

Output field	Meaning	Value type
callerMatchedForagingEvidenceValue	Caller Matched Foraging Evidence Value; follow the units, sign, ordering and evidence convention stated above	number
signedObservedMinusForagingEvidenceReference	Signed Observed Minus Foraging Evidence Reference; follow the units, sign, ordering and evidence convention stated above	number

json

{
  "input": {
    "callerForagingEvidenceIds": [
      "a",
      "b"
    ],
    "callerForagingEvidenceValues": [
      2,
      4
    ],
    "queryForagingEvidenceId": "b",
    "observedForagingEvidenceValue": 5
  },
  "output": {
    "callerMatchedForagingEvidenceValue": 4,
    "signedObservedMinusForagingEvidenceReference": 1
  }
}

Limitations and assumptions

The numerical reference, unit basis and observation come from the caller. No authoritative regional table, standard edition, calibration or management rule is installed, retrieved or verified.

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 Rolland Crown Transparency Vitality Rating for this related task: Crown transparency observations require a defined visual or instrument protocol and reference scale.

Use Rust Gall Incidence Stem Sweep Frequency when its separate inputs and assumptions fit the question: Rust-gall incidence is the proportion of assessed observations with a recorded gall.

References

Woodpecker Foraging Evidence Classes Per Tree — tool.io

Similar or alternative tools

Rolland Crown Transparency Vitality Rating
Crown transparency observations require a defined visual or instrument protocol and reference scale.
Rust Gall Incidence Stem Sweep Frequency
Rust-gall incidence is the proportion of assessed observations with a recorded gall.