Comparer des méthodes

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