Article (Scientific journals)
Assumptions in ecosystem service assessments: Increasing transparency for conservation
Schröter, Matthias; Crouzat, Emilie; Hölting, Lisanne et al.
2020In AMBIO: A Journal of the Human Environment
Peer reviewed
 

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Abstract :
[en] Conservation efforts are increasingly supported by ecosystem service assessments. These assessments depend on complex multi-disciplinary methods, and rely on a number of assumptions which reduce complexity. If assumptions are ambiguous or inadequate, misconceptions and misinterpretations may arise when interpreting results of assessments. An interdisciplinary understanding of assumptions in ecosystem service science is needed to provide consistent conservation recommendations. Here, we synthesise and elaborate on 12 prevalent types of assumptions in ecosystem service assessments. These comprise conceptual and ethical foundations of the ecosystem service concept, assumptions on data collection, indication, mapping, and modelling, on socioeconomic valuation and value aggregation, as well as about using assessment results for decision-making. We recommend future assessments to increase transparency about assumptions, and to test and validate them and their potential consequences on assessment reliability. This will support the taking up of assessment results in conservation science, policy and practice.
Research center :
Luxembourg Centre for Socio-Environmental Systems (LCSES)
Disciplines :
Environmental sciences & ecology
Author, co-author :
Schröter, Matthias
Crouzat, Emilie
Hölting, Lisanne
Massenberg, Julian
Rode, Julian
Hanisch, Mario
Kabisch, Nadja
Palliwoda, Julia
Priess, Jörg A.
SEPPELT, Ralf  ;  University of Luxembourg > Luxembourg Centre for Socio-Environmental Systems (LCSES)
Beckmann, Michael
External co-authors :
yes
Language :
English
Title :
Assumptions in ecosystem service assessments: Increasing transparency for conservation
Publication date :
2020
Journal title :
AMBIO: A Journal of the Human Environment
ISSN :
0044-7447
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 23 November 2025

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