Comparer des méthodes

	Indice de biodiversité forestière	Estimation de la couverture du couvert forestier
Domaine	Foresterie	Foresterie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1948–2004	2000s
Auteur d'origine	Shannon, Simpson, and Magurran	Jennings, Brown, Sheil, and colleagues
Type	Analysis and quantification pipeline	Measurement and estimation pipeline
Source fondatrice	Shannon, C. E. (1948). A Mathematical Theory of Communication. The Bell System Technical Journal, 27(3), 379–423.	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.
Alias	Forest diversity index, Species richness assessment, Shannon index forestry	Canopy closure measurement, Crown cover estimation, Overstory density assessment
Apparentées	4	4
Résumé	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.	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.