Deer Browse Leader Impact Percent

Summarize caller identified browsed leaders on observable opportunities with whole-inventory bounds for missing assessments; browse agents are not automatically attributed to deer.

Description

Observed browsed leaders describe assessable opportunities.

Observed browsed leaders describe assessable opportunities. Missing assessments leave the whole-inventory browse fraction uncertain.1

Summarize caller identified browsed leaders on observable opportunities with whole-inventory bounds for missing assessments; browse agents are not automatically attributed to deer.

When to use Deer Browse Leader Impact Percent

Use this tool to summarize caller identified browsed leaders on observable opportunities with whole-inventory bounds for missing assessments; browse agents are not automatically attributed to deer.

Gather the tree inventory, plot measurements or model parameters. Check diameter, area, time and moisture conventions; keep paired observations aligned.

How to use Deer Browse Leader Impact Percent and understand its results

  1. Gather the tree inventory, plot measurements or model parameters. Check diameter, area, time and moisture conventions; keep paired observations aligned.
  2. Enter observedBrowsedLeaderCount, observedIntactLeaderCount, unassessableLeaderCount using the field table and calculation rules, then run the tool.
  3. Read observableBrowsedLeaderPercent, wholeLeaderBrowsePercentBounds. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
observedBrowsedLeaderCountObserved browsed leader countintegerRequired
observedIntactLeaderCountObserved intact leader countintegerRequired
unassessableLeaderCountUnassessable leader countintegerRequired

Enter nonnegative integer browsed/intact/unassessable counts with a positive observable sum. Return observable percentage and whole-inventory bounds.

observable browse %=100browsed/(browsed+intact); bounds=100[browsed,browsed+unassessable]/total

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
observableBrowsedLeaderPercentObservable browsed leader percentnumber
wholeLeaderBrowsePercentBoundsWhole leader browse percent boundslist of number
json
{
  "input": {
    "observedBrowsedLeaderCount": 20,
    "observedIntactLeaderCount": 60,
    "unassessableLeaderCount": 20
  },
  "output": {
    "observableBrowsedLeaderPercent": 25,
    "wholeLeaderBrowsePercentBounds": [
      20,
      40
    ]
  }
}

Limitations and assumptions

The extremes assign all missing leaders intact or browsed. The agent is caller-identified rather than automatically attributed to deer.

Numeric inputs and returned numeric values must be finite; an unrepresentable returned value produces an error. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use First Season Seedling Survival Percent: Separate first-season tagged survival among located seedlings from whole-cohort bounds for unlocated tags; missing plants are not forced dead or alive. For a complementary task, use Current-Year Foliage Retention Percent: Audit independently established current-year needle inventory with observability bounds; older needle cohorts are not pooled and retention alone does not identify stress/disease.

References

  1. Deer Browse Leader Impact Percent — tool.io

Similar or alternative tools

  • First Season Seedling Survival Percent

    Separate first-season tagged survival among located seedlings from whole-cohort bounds for unlocated tags; missing plants are not forced dead or alive.

  • Current-Year Foliage Retention Percent

    Audit independently established current-year needle inventory with observability bounds; older needle cohorts are not pooled and retention alone does not identify stress/disease.

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