Developing and applying ecosystem service indicators in decisionsupport at various scales

verfasst von

Jennifer Hauck, Christian Albert, Christiane Fürst, Davide Geneletti, Daniele La Rosa, Carsten Lorz, Marcin Spyra

Abstract

Several contributions have shown that the process and results of Ecosystem Services (ES) indicator development for decision making is not only a scientific process. The way how ES indicators are framed and defined pre-determines what is being assessed and how this assessment can be used in policy, planning and decision making. It is unavoidable and even necessary to include the various value, knowledge and belief systems of decision makers or participants in decision processes. Consequently it is also important to reflect associated normative biases. An institutionalized, long-term, science-policy dialogue to arrive at a co-design of indicators to inform a multi-level ES governance approach could help here. Furthermore, social and environmental monitoring approaches need to be adapted towards delivering the requested indicator information. To account for the complexity of decision contexts one approach could be to bundle and aggregate indicator systems to social-ecological indices. Such indices could contribute also to services that are not visible and difficult to assess but are relevant for the well-being of future generations. An additional aspect is that such indices account better for aspect such as landscape composition and configuration, which are currently often ignored. Increasing ES literacy of decision makers is necessary and iterative, learning-by-doing approaches in transdisciplinary processes proved to be useful.

Organisationseinheit(en)

Institut für Umweltplanung

Externe Organisation(en)

Università degli Studi di Trento
University of Catania
Opole University of Technology
Helmholtz-Zentrum für Umweltforschung (UFZ)
Deutsches Zentrum für integrative Biodiversitätsforschung (iDiv) Halle-Jena-Leipzig
Karlsruher Institut für Technologie (KIT)
Hochschule Weihenstephan-Triesdorf

Typ

Editorial in Fachzeitschrift

Journal

Ecological Indicators

Band

61

Seiten

1-5

Anzahl der Seiten

5

ISSN

1470-160X

Publikationsdatum

02.2016

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

Elektronische Version(en)

https://doi.org/10.1016/j.ecolind.2015.09.037 (Zugang: Geschlossen)