Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic

Measures of biological diversity (biodiversity) are important for monitoring the state ecosystems. Several indices and methods used to describe biodiversity from field observations. Marine faunal is often quantified based on analysis samples collected using a trawl during research surveys. To monitor spatial temporal changes in between surveys, generally series stations. Inference regarding must account uncertainties estimation values different used. Estimation single station affected by spatial-temporal variation species composition area uncertainty due finite sample size taken trawl. Therefore, stations needs be accounted when estimating survey as total or mean survey. Herein, we present method nested bootstrapping that accounts various which can infer biodiversity. Application this methodology demonstrated data mesopelagic sound scattering layer high Arctic.