When, Where, and How Nature Matters for Ecosystem Services: Challenges for the Next Generation of Ecosystem Service Models
Author(s) -
Jesse T. Rieb,
Rebecca ChaplinKramer,
Gretchen C. Daily,
Paul R. Armsworth,
Katrin BöhningGaese,
Aletta Bonn,
Graeme S. Cumming,
Felix Eigenbrod,
Volker Grimm,
Bethanna Jackson,
Alexandra Marques,
Subhrendu K. Pattanayak,
Henrique M. Pereira,
Garry Peterson,
Taylor H. Ricketts,
Brian E. Robinson,
Matthias Schröter,
Lisa A. Schulte,
Ralf Seppelt,
Monica G. Turner,
Elena M. Bennett
Publication year - 2017
Publication title -
bioscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.761
H-Index - 209
eISSN - 1525-3244
pISSN - 0006-3568
DOI - 10.1093/biosci/bix075
Subject(s) - ecosystem services , computer science , decision support system , service (business) , management science , space (punctuation) , knowledge management , data science , ecosystem , business , ecology , engineering , artificial intelligence , marketing , biology , operating system
&NA; 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.
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