Quantitative value providing reliable, synthetic information on an element linked to biodiversity and its evolution over time, on a French scale. ONB indicators are designed to simplify information to help explain a phenomenon and make it understandable to society.
A qualitative or quantitative value that provides information considered interesting about an environmental component, but whose evolution alone cannot be interpreted or does not provide information about biodiversity.
A public, private or associative entity or system — most often involving multiple partners — specifically dedicated to observing biodiversity in a given territory and sometimes a particular theme, and which contributes to the production and dissemination of information from the data collected, in order to improve understanding.
The result of numerical processing of one or more biodiversity-related variables (e.g. taxonomic richness, average abundance of common species, etc.). A biodiversity metric is a component, sometimes unique, of an indicator calculation. The notion of metric includes not only the result, but also the processing method.
Observed or measured characteristic - qualitative or quantitative - likely to vary in time and/or space. The notion of variable includes reference to an established protocol
Component of biodiversity or of a socio-ecosystem as a whole, susceptible to be affected by a phenomenon of natural or anthropogenic origin and to suffer damage causing an impact on human society.
The ability of the sample used to calculate the indicator to reflect the characteristics of the entire sampled population, thereby ensuring the reliability of the indicator.
Quantity of data available relative to the minimum requirements for an indicator to be reliable in describing the phenomenon it reflects, and precise enough for the intended objective. Data abundance mainly depends on sampling density and frequency.
Characteristics ensuring that data are updated at a relevant and regular frequency, without gaps in the series and over the long term.
The level of uniformity among the sampling units used to calculate the indicator. The use of a standardized protocol promotes high data homogeneity.