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Cited by 1,307

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Systems integration for global sustainability

Open access
Liu, Jianguo, Mooney, Harold, Hull, Vanessa, Davis, Steven J., Gaskell, Joanne, Hertel, Thomas, Lubchenco, Jane, Seto, Karen C., Gleick, Peter, Kremen, Claire, Li, Shuxin·2015·Science

Abstract

Seeking systems-based solutions: Without sustainable solutions, the world's most pressing environmental concerns will continue to persist or worsen. Achieving the goal of sustainability involves so many factors—from economics to ecology—that investigating one or even a handful of variables at a time often overlooks major parts of the problem. Liu et al.review systems-based approaches that are beginning to provide tenable ways to assess sustainability. Further integrating coupled human and natural components of a problem across multiple dimensions, including how one solution can create unintended consequences elsewhere, is essential for developing effective policies that seek global sustainability. Science, this issue 10.1126/science.1258832

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Metadata

Authors
Liu, J., Mooney, H., Hull, V., Davis, S. J., Gaskell, J., Hertel, T., Lubchenco, J., Seto, K. C., Gleick, P., Kremen, C., & Li, S.
Venue
Science
Published
2015-02-27
Volume
347
Issue
6225
Pages
1258832-1258832
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2093445010
Cited by
1,307
References
13
FWCI
96.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Systems integration for global sustainability. https://app.cochat.ai/papers/10.1126/science.1258832
The paper
Liu, J., Mooney, H., Hull, V., Davis, S. J., Gaskell, J., Hertel, T., Lubchenco, J., Seto, K. C., Gleick, P., Kremen, C., & Li, S. (2015). Systems integration for global sustainability. Science. https://doi.org/10.1126/science.1258832

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.