Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Audzes blīvuma indekss× | Koku augšanas indeksa līkne× | |
|---|---|---|
| Nozare | Mežzinātne | Mežzinātne |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1933 | 1954 |
| Autors≠ | Louis Reineke | Joseph Westveld |
| Tips≠ | density measurement | productivity index |
| Pirmavots≠ | Reineke, L. H. (1933). Perfecting a stand-density index for even-aged forests. Journal of Agricultural Research, 46(7), 627–638. link ↗ | Clutter, J. L., Fortson, J. C., Pienaar, L. V., Brister, G. H., & Bailey, R. L. (1983). Timber Management: A Quantitative Approach. John Wiley & Sons. link ↗ |
| Citi nosaukumi | SDI, Reineke density index | site productivity, growth intercept |
| Saistītās≠ | 2 | 1 |
| Kopsavilkums≠ | The Stand Density Index (SDI), introduced by Reineke in 1933, is a dimensionless measure of forest density that accounts for both tree number and size. It expresses the number of trees per hectare in a stand, adjusted to a reference quadratic mean diameter (QMD) of 25 cm, providing a standardized metric for comparing tree density across different forest types and sizes. SDI is widely used in forest management to assess stocking levels and to guide thinning decisions. | A site index curve is a family of curves relating tree height to stand age, used to quantify the productivity of a forest site. Site index is conventionally defined as the height of dominant trees at a reference age (typically 50 years in temperate forests). These curves enable foresters to classify sites by productivity class and to predict growth rates for planning timber harvests and silvicultural treatments. Site index curves are among the most fundamental tools in forest growth and yield modeling. |
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