Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mežsaimniecības (silvikultūras) kopšanas plānošana× | Biodiversity Index in Forests× | |
|---|---|---|
| Nozare | Mežzinātne | Mežzinātne |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1950s–2000s | 1948–2004 |
| Autors≠ | Smith, Larson, and classical silviculture | Shannon, Simpson, and Magurran |
| Tips≠ | Planning and decision pipeline | Analysis and quantification pipeline |
| Pirmavots≠ | Smith, D. M., Larson, B. C., Kelty, M. J., & Ashton, P. M. S. (1997). The Practice of Silviculture: Applied Forest Ecology (9th ed.). John Wiley & Sons. link ↗ | Shannon, C. E. (1948). A Mathematical Theory of Communication. The Bell System Technical Journal, 27(3), 379–423. DOI ↗ |
| Citi nosaukumi | Silvicultural prescription, Stand treatment planning, Forest management design | Forest diversity index, Species richness assessment, Shannon index forestry |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | Silvicultural treatment design is the process of developing specific management prescriptions for forest stands to achieve defined objectives (timber yield, biodiversity, carbon storage, watershed protection). Codified in foundational texts by Smith and colleagues, silvicultural design integrates stand assessment, growth models, and ecosystem understanding to specify interventions (thinning, shelterwood, clear-cut, rotation-age modification) that steer forest development toward intended outcomes while respecting ecological constraints. | Forest biodiversity indices quantify species richness, evenness, and overall diversity in forest ecosystems. Rooted in information theory (Shannon) and statistical ecology (Simpson, Magurran), these indices compress complex multispecies data into interpretable metrics. Applied to forest inventory data, biodiversity indices guide conservation planning, assess ecological health, and track responses to management or disturbance. |
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