Key criteria for developing ecosystem service indicators to inform decision making

Research output: Contribution to journalComment/debateResearchpeer review

Authors

  • Alexander P.E. van Oudenhoven
  • Matthias Schröter
  • Evangelia G. Drakou
  • Ilse R. Geijzendorffer
  • Sander Jacobs
  • Peter M. van Bodegom
  • Laurent Chazee
  • Bálint Czúcz
  • Karsten Grunewald
  • Ana I. Lillebø
  • Laura Mononen
  • António J.A. Nogueira
  • Manuel Pacheco-Romero
  • Christian Perennou
  • Roy P. Remme
  • Silvia Rova
  • Ralf Uwe Syrbe
  • Jamie A. Tratalos
  • María Vallejos
  • Christian Albert

Research Organisations

External Research Organisations

  • Leiden University
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • International Institute for Geo-Information Science and Earth Observation - ITC
  • Tour du Valat
  • Belgian Biodiversity Platform
  • Museum National d'Histoire Naturelle
  • Hungarian Academy of Sciences
  • Leibniz Institute of Ecological Urban and Regional Development (IOER)
  • University of Aveiro
  • Finnish Environment Institute (SYKE)
  • University of Eastern Finland
  • University of Almeria
  • National Institute of Public Health and the Environment
  • University of Venice
  • University College Dublin
  • Universidad de Buenos Aires
  • Research Institute Nature and Forest (INBO)
View graph of relations

Details

Original languageEnglish
Pages (from-to)417-426
Number of pages10
JournalEcological Indicators
Volume95
Issue number1
Early online date14 Aug 2018
Publication statusPublished - Dec 2018

Abstract

Decision makers are increasingly interested in information from ecosystem services (ES) assessments. Scientists have for long recognised the importance of selecting appropriate indicators. Yet, while the amount and variety of indicators developed by scientists seems to increase continuously, the extent to which the indicators truly inform decision makers is often unknown and questioned. In this viewpoint paper, we reflect and provide guidance on how to develop appropriate ES indicators for informing decision making, building on scientific literature and practical experience collected from researchers involved in seven case studies. We synthesized 16 criteria for ES indicator selection and organized them according to the widely used categories of credibility, salience, legitimacy (CSL). We propose to consider additional criteria related to feasibility (F), as CSL criteria alone often seem to produce indicators which are unachievable in practice. Considering CSLF together requires a combination of scientific knowledge, communication skills, policy and governance insights and on-field experience. In conclusion, we present a checklist to evaluate CSLF of your ES indicators. This checklist helps to detect and mitigate critical shortcomings in an early phase of the development process, and aids the development of effective indicators to inform actual policy decisions.

Keywords

    Credibility, CSL, Feasibility, Legitimacy, Salience, Science-policy interface

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Key criteria for developing ecosystem service indicators to inform decision making. / van Oudenhoven, Alexander P.E.; Schröter, Matthias; Drakou, Evangelia G. et al.
In: Ecological Indicators, Vol. 95, No. 1, 12.2018, p. 417-426.

Research output: Contribution to journalComment/debateResearchpeer review

van Oudenhoven, APE, Schröter, M, Drakou, EG, Geijzendorffer, IR, Jacobs, S, van Bodegom, PM, Chazee, L, Czúcz, B, Grunewald, K, Lillebø, AI, Mononen, L, Nogueira, AJA, Pacheco-Romero, M, Perennou, C, Remme, RP, Rova, S, Syrbe, RU, Tratalos, JA, Vallejos, M & Albert, C 2018, 'Key criteria for developing ecosystem service indicators to inform decision making', Ecological Indicators, vol. 95, no. 1, pp. 417-426. https://doi.org/10.1016/j.ecolind.2018.06.020
van Oudenhoven, A. P. E., Schröter, M., Drakou, E. G., Geijzendorffer, I. R., Jacobs, S., van Bodegom, P. M., Chazee, L., Czúcz, B., Grunewald, K., Lillebø, A. I., Mononen, L., Nogueira, A. J. A., Pacheco-Romero, M., Perennou, C., Remme, R. P., Rova, S., Syrbe, R. U., Tratalos, J. A., Vallejos, M., & Albert, C. (2018). Key criteria for developing ecosystem service indicators to inform decision making. Ecological Indicators, 95(1), 417-426. https://doi.org/10.1016/j.ecolind.2018.06.020
van Oudenhoven APE, Schröter M, Drakou EG, Geijzendorffer IR, Jacobs S, van Bodegom PM et al. Key criteria for developing ecosystem service indicators to inform decision making. Ecological Indicators. 2018 Dec;95(1):417-426. Epub 2018 Aug 14. doi: 10.1016/j.ecolind.2018.06.020
van Oudenhoven, Alexander P.E. ; Schröter, Matthias ; Drakou, Evangelia G. et al. / Key criteria for developing ecosystem service indicators to inform decision making. In: Ecological Indicators. 2018 ; Vol. 95, No. 1. pp. 417-426.
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title = "Key criteria for developing ecosystem service indicators to inform decision making",
abstract = "Decision makers are increasingly interested in information from ecosystem services (ES) assessments. Scientists have for long recognised the importance of selecting appropriate indicators. Yet, while the amount and variety of indicators developed by scientists seems to increase continuously, the extent to which the indicators truly inform decision makers is often unknown and questioned. In this viewpoint paper, we reflect and provide guidance on how to develop appropriate ES indicators for informing decision making, building on scientific literature and practical experience collected from researchers involved in seven case studies. We synthesized 16 criteria for ES indicator selection and organized them according to the widely used categories of credibility, salience, legitimacy (CSL). We propose to consider additional criteria related to feasibility (F), as CSL criteria alone often seem to produce indicators which are unachievable in practice. Considering CSLF together requires a combination of scientific knowledge, communication skills, policy and governance insights and on-field experience. In conclusion, we present a checklist to evaluate CSLF of your ES indicators. This checklist helps to detect and mitigate critical shortcomings in an early phase of the development process, and aids the development of effective indicators to inform actual policy decisions.",
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note = "Funding information: The work by AvO is funded by the STW research programme {\textquoteleft}Nature-driven nourishment of coastal systems (NatureCoast){\textquoteright} (grant number 12691), which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). The work of IG, LC and CP was supported by grants from the MAVA Foundation, the Total Foundation, the Prince Albert II of Monaco Foundation and the French Ministry of Ecology. The work by CA, RS and KG for MAES Germany was commissioned by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (Environment Ministry, BMUB) and the Federal Agency for Nature Conservation (BfN). Niraj-MAES was supported by the EEA Financial Mechanism and the Romanian Ministry of Environment, Forests and Waters under the project “Mapping and assessment of ecosystem services in Natura 2000 sites of the Niraj-Tarnava Mica region” (Programme RO02, grant No. 3458/19.05.2015). The work by AL and AN was supported through the AQUACROSS project funded by the European Union{\textquoteright}s Horizon 2020 Programme for Research, Technological Development and Demonstration under Grant Agreement no. 642317. Thanks are also due, for the financial support to CESAM (UID/AMB/50017/2013), to FCT/MEC through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. The work of LM was supported by MAES Finland project that is funded by the Ministry of the Environment, Finland. The work of MP-R was financed by the Spanish Ministry of Education through a University Teacher Training grant. The work by JT was carried out at the University of Nottingham and funded under the National Ecosystem Assessment Follow-on (NEAFO) programme. CA acknowledges additional support from the German Ministry for Education and Research (BMBF) through the Junior Research Group PlanSmart (funding code: 01UU1601A).",
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T1 - Key criteria for developing ecosystem service indicators to inform decision making

AU - van Oudenhoven, Alexander P.E.

AU - Schröter, Matthias

AU - Drakou, Evangelia G.

AU - Geijzendorffer, Ilse R.

AU - Jacobs, Sander

AU - van Bodegom, Peter M.

AU - Chazee, Laurent

AU - Czúcz, Bálint

AU - Grunewald, Karsten

AU - Lillebø, Ana I.

AU - Mononen, Laura

AU - Nogueira, António J.A.

AU - Pacheco-Romero, Manuel

AU - Perennou, Christian

AU - Remme, Roy P.

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AU - Syrbe, Ralf Uwe

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AU - Vallejos, María

AU - Albert, Christian

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