The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The need to respect nature and its limits challenges society and conservation science
Open accessAbstract
Significance: The recent Paris accord on global climate change is a key step in acknowledging biophysical limits to human actions, but the challenge of respecting the biosphere’s ecological limits remains underrated. We analyze how respecting these limits squarely conflicts with an economy centered on growth and technology to mitigate environmental stress. The need to mitigate human impacts on species and natural systems has made conservation science a major multidisciplinary discipline. Society and conservation science have tried unsuccessfully to resolve this need within the growth paradigm. We show that its resolution increasingly demands profound shifts in societal values. Our aim is to identify the nature of these necessary shifts and to explore how they define future paths for conservation science.
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Cites
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The Keystone Role of Bison in North American Tallgrass Prairie
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Cited by
Siebert, M., Krennrich, G., Seibicke, M., Siegle, A. F., & Trapp, O. (2019) · Chemical Science · doi:10.1039/c9sc04591k · Cited by 32
Metadata
- Authors
- Martin, J.-L., Maris, V., & Simberloff, D. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2016-05-16
- Volume
- 113
- Issue
- 22
- Pages
- 6105-6112
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2400038823
- Cited by
- 223
- References
- 11
- FWCI
- 16.68
- Type
- journal article
- Language
- en
- Open access
- green
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- Martin, J.-L., Maris, V., & Simberloff, D. S. (2016). The need to respect nature and its limits challenges society and conservation science. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1525003113
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
