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A quantitative framework for selecting and validating food web indicators
Stockholm University, Faculty of Science, Stockholm Resilience Centre. University of Hamburg, Germany.
Stockholm University, Faculty of Science, Stockholm Resilience Centre.
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Number of Authors: 5
2018 (English)In: Ecological Indicators, ISSN 1470-160X, E-ISSN 1872-7034, Vol. 84, p. 619-631Article in journal (Refereed) Published
Abstract [en]

Finding suitable state indicators is challenging and cumbersome in stochastic and complex ecological systems. Typically, a great focus is given to criteria such as data availability, scientific basis, or measurability. Features associated with the indicator's performance such as sensitivity or robustness are often neglected due to the lack of quantitative validation tools. In this paper, we present a simple but flexible framework for selecting and validating the performance of food web indicators. In specific, we suggest a 7-step process in which indicator performances at a regional scale are quantified and visualized allowing for the selection of complementary indicator suites. We demonstrate its application by comparing the performance of pelagic food web indicators for three basins of the Baltic Sea and by assessing the food web status based on selected indicator suites. Our analysis sheds light on spatial differences in indicator performances with respect to direct and indirect pressures, the role of non-linearity and non-additivity in pressure responses, as well as relationships between indicators caused by species interactions. Moreover, our results suggest that the present food web states in the Bornholm and Gotland basins of the Baltic Sea deviate distinctly from an earlier reference period. We advocate the use of our quantitative framework as decision-support tool for selecting suites of complementary indicators under given management schemes such as the EU Marine Strategy Framework Directive.

Place, publisher, year, edition, pages
2018. Vol. 84, p. 619-631
Keyword [en]
Indicator-testing framework, Performance criteria, Marine strategy framework directive (MSFD), Generalized additive modelling (GAM), State space approach, Marine food web indicators, Baltic sea, Zooplankton, Pelagic fish
National Category
Biological Sciences Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-154670DOI: 10.1016/j.ecolind.2017.05.045ISI: 000425828200063OAI: oai:DiVA.org:su-154670DiVA, id: diva2:1201432
Available from: 2018-04-25 Created: 2018-04-25 Last updated: 2018-04-25Bibliographically approved

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Otto, Saskia A.Kadin, MartinaCasini, MicheleTorres, Maria A.Blenckner, Thorsten
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