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| Copertura arborea× | Indice di Biodiversità nelle Foreste× | |
|---|---|---|
| Campo | Scienze forestali | Scienze forestali |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2000s | 1948–2004 |
| Ideatore≠ | Jennings, Brown, Sheil, and colleagues | Shannon, Simpson, and Magurran |
| Tipo≠ | Measurement and estimation pipeline | Analysis and quantification pipeline |
| Fonte seminale≠ | Jennings, S. B., Brown, N. D., & Sheil, D. (2000). Assessing Forest Canopies and Understorey Illumination: Methods and Applications. Forest Ecology and Management, 129(1-3), 219–243. link ↗ | Shannon, C. E. (1948). A Mathematical Theory of Communication. The Bell System Technical Journal, 27(3), 379–423. DOI ↗ |
| Alias | Canopy closure measurement, Crown cover estimation, Overstory density assessment | Forest diversity index, Species richness assessment, Shannon index forestry |
| Correlati | 4 | 4 |
| Sintesi≠ | Canopy cover, or canopy closure, is the proportion of ground area covered by tree crowns when viewed from above, typically expressed as a percentage. Formalized by Jennings and colleagues in pioneering work on tropical forest structure, canopy cover estimation employs multiple methods—from field-based ocular assessment to sophisticated remote sensing and terrestrial LiDAR—providing essential data on forest structure, light availability, and habitat characteristics relevant to ecology, silviculture, and climate research. | 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. |
| ScholarGateInsieme di dati ↗ |
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