Journal Article

When, Where, and How Nature Matters for Ecosystem Services: Challenges for the Next Generation of Ecosystem Service Models

Jesse T. Rieb, Rebecca Chaplin-Kramer, Gretchen C. Daily, Paul R. Armsworth, Katrin Böhning-Gaese, Aletta Bonn, Graeme S. Cumming, Felix Eigenbrod, Volker Grimm, Bethanna M. Jackson, Alexandra Marques, Subhrendu K. Pattanayak, Henrique M. Pereira, Garry D. Peterson, Taylor H. Ricketts, Brian E. Robinson, Matthias Schröter, Lisa A. Schulte, Ralf Seppelt, Monica G. Turner and Elena M. Bennett

in BioScience

Published on behalf of American Institute of Biological Sciences

Volume 67, issue 9, pages 820-833
Published in print September 2017 | ISSN: 0006-3568
Published online August 2017 | e-ISSN: 1525-3244 | DOI: https://dx.doi.org/10.1093/biosci/bix075
When, Where, and How Nature Matters for Ecosystem Services: Challenges for the Next Generation of Ecosystem Service Models

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Abstract

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.

Keywords: ecosystem services; decision-support tools; decision-making; modeling; natural capital

Journal Article.  10202 words.  Illustrated.

Subjects: Environmental Science ; Biological Sciences ; Environment

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