Large Woody Debris Recruitment Pieces/100m
Normalize newly observed qualifying woody debris by stream-length×time exposure with a caller consistent piece definition; not standing debris count or geometric volume.
Description
Woody-debris recruitment is new qualifying pieces per stream-length and time exposure.
Woody-debris recruitment is new qualifying pieces per stream-length and time exposure. It differs from a standing debris inventory.1
Normalize newly observed qualifying woody debris by stream-length×time exposure with a caller consistent piece definition; not standing debris count or geometric volume.
When to use Large Woody Debris Recruitment Pieces/100m
Use this tool to normalize newly observed qualifying woody debris by stream-length×time exposure with a caller consistent piece definition; not standing debris count or geometric volume.
Gather the tree inventory, plot measurements or model parameters. Check diameter, area, time and moisture conventions; keep paired observations aligned.
How to use Large Woody Debris Recruitment Pieces/100m and understand its results
- Gather the tree inventory, plot measurements or model parameters. Check diameter, area, time and moisture conventions; keep paired observations aligned.
- Enter newWoodyDebrisPieceCounts, surveyedStreamLengthsM, elapsedYears using the field table and calculation rules, then run the tool.
- Read observedPieceRecruitmentPer100MPerYear, pooledPieceRecruitmentPer100MYear. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- 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 field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| newWoodyDebrisPieceCounts | New woody debris piece counts | list of number | Required |
| surveyedStreamLengthsM | Surveyed stream lengths m | list of number | Required |
| elapsedYears | Elapsed years | list of number | Required |
Pair nonnegative integer new-piece counts with positive surveyed lengths and elapsed years. Return local rates and a pooled rate using total count divided by total length×time exposure.
Paired lists must be nonempty and have equal lengths.
rate per 100 m/year=100count/(length m × elapsed years) Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| observedPieceRecruitmentPer100MPerYear | Observed piece recruitment per100 m per year | list of number |
| pooledPieceRecruitmentPer100MYear | Pooled piece recruitment per100 m year | number |
{
"input": {
"newWoodyDebrisPieceCounts": [
2,
4
],
"surveyedStreamLengthsM": [
100,
200
],
"elapsedYears": [
1,
2
]
},
"output": {
"observedPieceRecruitmentPer100MPerYear": [
2,
1
],
"pooledPieceRecruitmentPer100MYear": 1.2
}
}Limitations and assumptions
The piece definition must be consistent. Standing count, geometric volume and missed recruitment are not inferred.
Numeric inputs and returned numeric values must be finite; an unrepresentable returned value produces an error. Numeric lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Deadwood Volume: Inventory exact frustum log envelopes, hollow exclusions and caller decay-adjusted solid volume separately; not a standalone Huber/Smalian/Newton or bark-volume alias, and cavity/taper assumptions are explicit. For a complementary task, use Snag Density: Pool unequal-area snag surveys with caller differential detection and independent Poisson count error; unlike existing fixed-plot tree expansion, correction/uncertainty require extra measured assumptions.
References
Similar or alternative tools
- Deadwood Volume
Inventory exact frustum log envelopes, hollow exclusions and caller decay-adjusted solid volume separately; not a standalone Huber/Smalian/Newton or bark-volume alias, and cavity/taper assumptions are explicit.
- Snag Density
Pool unequal-area snag surveys with caller differential detection and independent Poisson count error; unlike existing fixed-plot tree expansion, correction/uncertainty require extra measured assumptions.