Benthic Macroinvertebrate Biomass Area Calculator
Pool actual blank-corrected benthic dry mass by summed sampled area, not mean of unequal-area densities; negative corrections retained, no habitat-wide extrapolation or taxonomic index.
Description
Pooled benthic biomass should weight unequal sample areas through total mass divided by total area.
Pooled benthic biomass should weight unequal sample areas through total mass divided by total area. Blank corrections can be negative.1
Enter aligned nonempty nonnegative dry masses/blanks and positive sampled areas. Return signed corrected masses and pooled mg/m².
When to use Benthic Macroinvertebrate Biomass Area Calculator
Use Benthic Macroinvertebrate Biomass Area Calculator when you need to evaluate the supplied records under the calculation and evidence rules below. No habitat-wide extrapolation, organism identification or taxonomic index is inferred.
Prepare the observed lake or sample measurements and explicit calibration, reference values or thresholds requested. Keep depth coverage, units, dates and sampling conditions consistent.
How to use Benthic Macroinvertebrate Biomass Area Calculator and understand its results
- Prepare the observed lake or sample measurements and explicit calibration, reference values or thresholds requested. Keep depth coverage, units, dates and sampling conditions consistent.
- Enter sampleDryBiomassesMg, sampledBenthicAreasM2, blankBiomassesMg using the field table and calculation rules, then run the tool.
- Read blankCorrectedSampleBiomassMg, pooledDryBiomassMgM2. 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 |
|---|---|---|---|
| sampleDryBiomassesMg | Sample dry biomasses mg | list of number | Required |
| sampledBenthicAreasM2 | Sampled benthic areas m2 | list of number | Required |
| blankBiomassesMg | Blank biomasses mg | list of number | Required |
Enter aligned nonempty nonnegative dry masses/blanks and positive sampled areas. Return signed corrected masses and pooled mg/m².
corrected[i]=sample[i]−blank[i]; pooled=sum(corrected)/sum(area) Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| blankCorrectedSampleBiomassMg | Blank corrected sample biomass mg | list of number |
| pooledDryBiomassMgM2 | Pooled dry biomass mg m2 | number |
{
"input": {
"sampleDryBiomassesMg": [
10,
20
],
"sampledBenthicAreasM2": [
1,
2
],
"blankBiomassesMg": [
2,
4
]
},
"output": {
"blankCorrectedSampleBiomassMg": [
8,
16
],
"pooledDryBiomassMgM2": 8
}
}Limitations and assumptions
No habitat-wide extrapolation, organism identification or taxonomic index is inferred.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Plankton Settling Volume Liter Calculator: Settled plankton volume is an operational measurement. Blank subtraction can produce negative estimates that should remain visible. For a complementary task, use Zooplankton Length Weight Regression Calculator: Zooplankton mass can be fitted as a power of length for a defined taxon and measurement basis. Log-linear fitting predicts a conditional median on the mass scale.
References
Similar or alternative tools
- Plankton Settling Volume Liter Calculator
Settled plankton volume is an operational measurement. Blank subtraction can produce negative estimates that should remain visible.
- Zooplankton Length Weight Regression Calculator
Zooplankton mass can be fitted as a power of length for a defined taxon and measurement basis. Log-linear fitting predicts a conditional median on the mass scale.