Confronta i metodi

	Frazione di apertura della chioma	Indice Meteorologico per gli Incendi Boschivi	Modello di Incendio di Rothermel
Campo	Scienze forestali	Scienze forestali	Scienze forestali
Famiglia	Process / pipeline	Process / pipeline	Process / pipeline
Anno di origine	1979	1987	1972
Ideatore	John Norman	Cornelius Van Wagner	Richard Rothermel
Tipo	measurement pipeline	weather-based fire danger system	fire propagation model
Fonte seminale	Machado, J.-L., & Reich, P. B. (1999). Evaluation of several measures of canopy openness. Canadian Journal of Forest Research, 29(9), 1439–1444.	Van Wagner, C. E. (1987). Development and structure of the Canadian Forest Fire Weather Index System. Canadian Forestry Service Publication 1333.	Rothermel, R. C. (1972). A mathematical model for predicting fire spread in wildland fuels. Research Paper INT-115, USDA Forest Service Intermountain Research Station.
Alias	gap fraction, canopy openness	FWI, Canadian Fire Weather Index	fire spread model, BEHAVE model
Correlati	2	2	3
Sintesi	Canopy gap fraction quantifies the proportion of sky visible through the forest canopy, expressed as a percentage. Developed to measure light availability in the understory, it is a standard metric in forest ecology for characterizing canopy structure and microhabitat conditions. This measure is essential for understanding light-limited photosynthesis and seedling establishment in closed-canopy forests.	The Fire Weather Index (FWI) System, developed by the Canadian Forest Service, is a comprehensive weather-based fire danger rating system consisting of six component indices and an overall Fire Weather Index. It uses daily weather observations (temperature, relative humidity, wind speed, and precipitation) to estimate fine-fuel moisture, fire behavior, and risk. The FWI System is used operationally across Canada, many U.S. states, and internationally for fire management decisions and fire danger forecasting.	The Rothermel fire spread model, developed by Richard Rothermel in 1972, is a mechanistic mathematical model that predicts the rate of fire spread through surface fuels using fuel characteristics, weather, and topography. It forms the theoretical foundation of the BEHAVE fire modeling system used operationally by fire agencies worldwide. The model integrates principles from combustion physics, heat transfer, and fuel science to quantify how fire intensity, fuel moisture, wind, and slope interact to drive wildfire propagation.