Key criteria for developing ecosystem service indicators to inform decision making
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 ext...
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| Otros Autores: | , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Materias: | |
| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2018vanoudenhoven.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 024 | |a 10.1016/j.ecolind.2018.06.020 | ||
| 040 | |a AR-BaUFA | ||
| 245 | 1 | |a Key criteria for developing ecosystem service indicators to inform decision making | |
| 520 | |a 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. | ||
| 653 | |a SCIENCE-POLICY INTERFACE | ||
| 653 | |a CSL | ||
| 653 | |a CREDIBILITY | ||
| 653 | |a SALIENCE | ||
| 653 | |a LEGITIMACY | ||
| 653 | |a FEASIBILITY | ||
| 700 | 1 | |a van Oudenhovena, Alexander P. E. |u Leiden University. Institute of Environmental Sciences CML. Leiden, The Netherlands. |9 67981 | |
| 700 | 1 | |a Schröter, Matthias |u UFZ – Helmholtz Centre for Environmental Research. Department of Ecosystem Services. Department of Computational Landscape Ecology. Leipzig, Germany. |u German Centre for Integrative Biodiversity Research (iDiv). Leipzig, Germany. |9 67982 | |
| 700 | 1 | |a Drakou, Evangelina G. |u University of Twente. Faculty of Geo-Information Science and Earth Observation (ITC). Enschede, The Netherlands. |9 67983 | |
| 700 | 1 | |a Geijzendorffer, Ilse R. |u Research Institute for the Conservation of Mediterranean Wetlands.Tour du Valat. Arles, France. |9 67984 | |
| 700 | 1 | |a Jacobs, Sander |u Research Institute of Nature and Forest INBO. Brussels, Belgium. |u Belgian Biodiversity Platform BBPF. Brussels, Belgium. |9 67985 | |
| 700 | 1 | |a Bodegom, Peter M. van |u Leiden University. Institute of Environmental Sciences CML. Leiden, The Netherlands. |9 67986 | |
| 700 | 1 | |a Chazee, Laurent |u Research Institute for the Conservation of Mediterranean Wetlands. Tour du Valat. Arles, France. |9 67987 | |
| 700 | 1 | |9 29398 |a Vallejos, María |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina. | |
| 773 | |t Ecological Indicators |g Vol.95, no.1 (2018), p.417-426, grafs., tbls. | ||
| 856 | |f 2018vanoudenhoven |i en reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2018vanoudenhoven.pdf |x ARTI201810 | ||
| 856 | |u https://www.sciencedirect.com |z LINK AL EDITOR | ||
| 942 | |c ARTICULO |n 1 | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||