Skip to main content
Research article - Peer-reviewed, 2021

A Bayesian approach for assessing the boundary between desirable and undesirable environmental status - An example from a coastal fish indicator in the Baltic Sea

Laurila-Pant, Mirka; Mantyniemi, Samu; Ostman, Orjan; Olsson, Jens; Uusitalo, Laura; Lehikoinen, Annukka

Abstract

Ecological indicator approaches typically compare the prevailing state of an ecosystem component to a reference state reflecting good environmental conditions, i.e. the desirable state. However, defining the reference state is challenging due to a wide range of uncertainties related to natural variability and measurement error in data, as well as ecological understanding. This study propose a novel probabilistic approach combining historical monitoring data and ecological understanding to estimate the uncertainty associated with the boundary value of an ecological indicator between good and poor environmental states. Bayesian inference is used to estimate the epistemic uncertainty about the true state of an indicator variable during an historical reference period. This approach replaces the traditional boundary value with probability distribution, indicating the uncertainty about the boundary between environmental states providing a transparent safety margin associated with the risk of misclassification of the indicator's state. The approach is demonstrated by applying it to a time-series of an ecological status indicator, 'Abundance of coastal key fish species', included in HELCOM's Baltic Sea regional status assessment. We suggest that acknowledgement of the uncertainty behind the final classification leads to more transparent and better-informed decision-making processes.

Keywords

Status assessment; Classification uncertainty; MSFD; Perca fluviatilis; Good environmental status

Published in

Ecological Indicators
2021, volume: 120, article number: 106975
Publisher: ELSEVIER

Authors' information

Laurila-Pant, Mirka
University of Helsinki
Mantyniemi, Samu
Natural Resources Institute Finland (Luke)
Swedish University of Agricultural Sciences, Department of Aquatic Resources
Swedish University of Agricultural Sciences, Department of Aquatic Resources
Uusitalo, Laura
Finnish Environment Institute
Lehikoinen, Annukka
University of Helsinki

Associated SLU-program

Coastal and sea areas

Sustainable Development Goals

SDG14 Life below water

UKÄ Subject classification

Other Natural Sciences not elsewhere specified
Ecology
Zoology

Publication Identifiers

DOI: https://doi.org/10.1016/j.ecolind.2020.106975

URI (permanent link to this page)

https://res.slu.se/id/publ/109503