Total Enumeration: (syn.Totalcount) It is not possible in case of forest measurement. Partial enumeration is also called sampling.
Forest Sampling: Sampling is a process in which inventory of the forest is carried out only in a representative portion of the whole.
| Sample | Plot size (m2) | Plant size |
|---|---|---|
| Seedling | 10 | 30 to100 cm ht |
| Sapling | 25 | >1m ht & <10cm dia |
| Poles | 100 | 10 to 29.9 cm dbh |
| Tree | 100 to 500 | = or >30 cm dbh |
| Fuel wood, Fodder | 100 | --- |
| NTFPs | 1×1 | Depend on size and nature |
Sampling design: A sample design is a definite plan for obtaining a sample from a given population. It refers to the technique or procedure the researcher would adopt in selecting items for the sample. Sample design is determined before data are collected. The researcher should select a sample design which should be reliable and appropriate for his research study.
Sampling unit: Population is divided into suitable units for the purpose of sampling is called sampling unit. In other words, before selecting the sample, the population must be divided into parts that are called sample units.
How to find the number of sample plots?
- Sample intensity = (sample area/Total area)*100
- Sample area = (Intensity*total area)/Sample area
- Number of sample plot = (total sample plot are /individual plot area)
Advantage of sampling over total measurement
- Reduced cost and saving of time
- Data collected certain % of forest areas
- Save time and cost
- Less measurement
- Less number of man power needed
- Relative accuracy
- Total enumeration is more accurate but sampling may provide better result in case of large areas
- Time elapses raise question
- Appropriate sampling intensity provide better result
- Knowledge of error
- Total enumeration gives false result
- The error is calculated at last
- But sampling after sampling
- Greater scope
- Highly trained man power needed
- Volume or biomass
- Partial sampling widen scope
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