Details
| Original language | English |
|---|---|
| Pages (from-to) | 21-30 |
| Number of pages | 10 |
| Journal | Ecological Modelling |
| Volume | 295 |
| Publication status | Published - 1 Jan 2015 |
| Externally published | Yes |
Abstract
Ecosystem service research covers a challenging socio-ecological complexity and simultaneously copes with a high policy demand for decision support in sustainable resource management. This stimulates proliferation of pragmatic modeling techniques, such as the matrix model: ecosystem service supply is modeled using expert estimations per land use or land cover class. The matrix models popularity proves its main strengths (efficient, fast, accessible and adaptable), but also entails risks for scientific credibility and legitimacy of its results and ecosystem service assessments in general. Some of the main methodological critiques on the matrix model can be addressed especially by including measures of confidence, traceability, reliability, consistency and validity. This review presents recommendations and encourages these to become standard practise in future applications of the matrix model and related techniques.Additionally, we argue that an extended matrix model could provide more than only scientifically sound and politically legitimate results. It could serve as a tool to improve cooperation between natural and social sciences, experts, stakeholders and decision makers: collaborative development of the matrix model contributes to transdisciplinary ecosystem service research aimed at effective implementation and action.
Keywords
- Confidence, Decision support, Ecosystem services, Expert judgment, Reliability
ASJC Scopus subject areas
- Environmental Science(all)
- Ecological Modelling
Sustainable Development Goals
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In: Ecological Modelling, Vol. 295, 01.01.2015, p. 21-30.
Research output: Contribution to journal › Article › Research
}
TY - JOUR
T1 - 'The Matrix Reloaded'
T2 - A review of expert knowledge use for mapping ecosystem services
AU - Jacobs, Sander
AU - Burkhard, Benjamin
AU - Van Daele, Toon
AU - Staes, Jan
AU - Schneiders, Anik
N1 - Funding Information: The authors highly appreciate Felix Müller from Kiel University for inspiring and constructive inputs during the ES matrix model development and its application in various case studies. We further acknowledge the Flemish Agency for Technological Innovation by Science and Technology (IWT) for funding the ECOPLAN-project (Planning for Ecosystem Services), the German Ministry of Research and Education for funding the LEGATO project (BMBF Funding No. 01LL0917F), Walter Sobchak for caring about the rules, and two anonymous reviewers for many detailed comments and constructive suggestions. Publisher Copyright: © 2014 Elsevier B.V. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Ecosystem service research covers a challenging socio-ecological complexity and simultaneously copes with a high policy demand for decision support in sustainable resource management. This stimulates proliferation of pragmatic modeling techniques, such as the matrix model: ecosystem service supply is modeled using expert estimations per land use or land cover class. The matrix models popularity proves its main strengths (efficient, fast, accessible and adaptable), but also entails risks for scientific credibility and legitimacy of its results and ecosystem service assessments in general. Some of the main methodological critiques on the matrix model can be addressed especially by including measures of confidence, traceability, reliability, consistency and validity. This review presents recommendations and encourages these to become standard practise in future applications of the matrix model and related techniques.Additionally, we argue that an extended matrix model could provide more than only scientifically sound and politically legitimate results. It could serve as a tool to improve cooperation between natural and social sciences, experts, stakeholders and decision makers: collaborative development of the matrix model contributes to transdisciplinary ecosystem service research aimed at effective implementation and action.
AB - Ecosystem service research covers a challenging socio-ecological complexity and simultaneously copes with a high policy demand for decision support in sustainable resource management. This stimulates proliferation of pragmatic modeling techniques, such as the matrix model: ecosystem service supply is modeled using expert estimations per land use or land cover class. The matrix models popularity proves its main strengths (efficient, fast, accessible and adaptable), but also entails risks for scientific credibility and legitimacy of its results and ecosystem service assessments in general. Some of the main methodological critiques on the matrix model can be addressed especially by including measures of confidence, traceability, reliability, consistency and validity. This review presents recommendations and encourages these to become standard practise in future applications of the matrix model and related techniques.Additionally, we argue that an extended matrix model could provide more than only scientifically sound and politically legitimate results. It could serve as a tool to improve cooperation between natural and social sciences, experts, stakeholders and decision makers: collaborative development of the matrix model contributes to transdisciplinary ecosystem service research aimed at effective implementation and action.
KW - Confidence
KW - Decision support
KW - Ecosystem services
KW - Expert judgment
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=84910060302&partnerID=8YFLogxK
U2 - 10.1016/j.ecolmodel.2014.08.024
DO - 10.1016/j.ecolmodel.2014.08.024
M3 - Article
AN - SCOPUS:84910060302
VL - 295
SP - 21
EP - 30
JO - Ecological Modelling
JF - Ecological Modelling
SN - 0304-3800
ER -