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Conservation Biology
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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PubMed Central
Article . 2025
License: CC BY NC
Data sources: PubMed Central
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The generations of cultural ecosystem services research

Authors: Rachelle K. Gould; Terre Satterfield; Kirsten Leong; Jonathan Fisk;

The generations of cultural ecosystem services research

Abstract

AbstractUnderstanding the cultural dimensions of human–nature relationships and integrating them into decision‐making is a central goal of conservation social science. One prominent avenue for this work is the characterization and analysis of cultural ecosystem services (CES) (i.e., nonmaterial aspects of the benefits derived from human–nature relationships). The Millennium Ecosystem Assessment introduced the term CES in 2005, and the ensuing decades have seen a blossoming of work on this topic—including extensive critique and the development of multiple closely related concepts. Because the need to recognize CESs (by whatever name) is not going away, we reflected on where CES research has been, where it is now, and where it might go. We refer to the current field as second‐generation CES: a suite of approaches and innovations (biocultural indicators, relational values, and nonmaterial nature's contributions to people) that enhance, reject, or modify some of the premises of first‐generation CES. These new approaches can be understood as a pluralistic menu of options to capture the essence of what CES aimed to, or failed to fully, represent. Nonmaterial factors (i.e., CES and conceptual offspring of CES) can affect conservation decision‐making via 4 main channels: evaluation or assessment, elucidation of trade‐offs, epistemic and social recognition, and, in some cases, the reclassification of what nature itself is.

Keywords

Conservation of Natural Resources, Practice and Policy, Decision Making, Culture, Humans, Ecosystem

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid