When, Where, and How Nature Matters for Ecosystem Services: Challenges for the Next Generation of Ecosystem Service Models
Research output: Journal contributions › Scientific review articles › Research
Standard
In: BioScience, Vol. 67, No. 9, 09.2017, p. 820-833.
Research output: Journal contributions › Scientific review articles › Research
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - When, Where, and How Nature Matters for Ecosystem Services
T2 - Challenges for the Next Generation of Ecosystem Service Models
AU - Rieb, Jesse T.
AU - Chaplin-Kramer, Rebecca
AU - Daily, Gretchen C.
AU - Armsworth, Paul R.
AU - Böhning-Gaese, Katrin
AU - Bonn, Aletta
AU - Cumming, Graeme S.
AU - Eigenbrod, Felix
AU - Grimm, Volker
AU - Jackson, Bethanna M.
AU - Marques, Alexandra
AU - Pattanayak, Subhrendu K.
AU - Pereira, Henrique M.
AU - Peterson, Garry D.
AU - Ricketts, Taylor H.
AU - Robinson, Brian E.
AU - Schröter, Matthias
AU - Schulte, Lisa A.
AU - Seppelt, Ralf
AU - Turner, Monica G.
AU - Bennett, Elena M.
N1 - This article is a joint effort of the working group “sESMOD— Next-Generation Models for Ecosystem Services and Biodiversity” and an outcome of a workshop kindly supported by the Synthesis Centre (sDiv) of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig (DFG FZT 118). Jesse T. Rieb and Rebecca Chaplin-Kramer contributed equally to this work.
PY - 2017/9
Y1 - 2017/9
N2 - Many decision-makers are looking to science to clarify how nature supports human well-being. Scientists' responses have typically focused on empirical models of the provision of ecosystem services (ES) and resulting decision-support tools. Although such tools have captured some of the complexities of ES, they can be difficult to adapt to new situations. Globally useful tools that predict the provision of multiple ES under different decision scenarios have proven challenging to develop. Questions from decision-makers and limitations of existing decision-support tools indicate three crucial research frontiers for incorporating cutting-edge ES science into decision-support tools: (1) understanding the complex dynamics of ES in space and time, (2) linking ES provision to human well-being, and (3) determining the potential for technology to substitute for or enhance ES. We explore these frontiers in-depth, explaining why each is important and how existing knowledge at their cutting edges can be incorporated to improve ES decision-making tools.
AB - Many decision-makers are looking to science to clarify how nature supports human well-being. Scientists' responses have typically focused on empirical models of the provision of ecosystem services (ES) and resulting decision-support tools. Although such tools have captured some of the complexities of ES, they can be difficult to adapt to new situations. Globally useful tools that predict the provision of multiple ES under different decision scenarios have proven challenging to develop. Questions from decision-makers and limitations of existing decision-support tools indicate three crucial research frontiers for incorporating cutting-edge ES science into decision-support tools: (1) understanding the complex dynamics of ES in space and time, (2) linking ES provision to human well-being, and (3) determining the potential for technology to substitute for or enhance ES. We explore these frontiers in-depth, explaining why each is important and how existing knowledge at their cutting edges can be incorporated to improve ES decision-making tools.
KW - decision-making
KW - decision-support tools
KW - ecosystem services
KW - modeling
KW - natural capital
KW - Ecosystems Research
UR - http://www.scopus.com/inward/record.url?scp=85029689597&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/01caf683-9509-3173-aa7f-129a802bd1f6/
U2 - 10.1093/biosci/bix075
DO - 10.1093/biosci/bix075
M3 - Scientific review articles
AN - SCOPUS:85029689597
VL - 67
SP - 820
EP - 833
JO - BioScience
JF - BioScience
SN - 0006-3568
IS - 9
ER -