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Cited by 185

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Risks, opportunities and adaptation to climate change

Open access
Scheraga, JD, Grambsch, AE·1998·Climate Research

Abstract

Adaptation is an important approach for protecting human health, ecosystems, and economic systems from the risks posed by climate variability and change, and for exploiting beneficial opportunities provided by a changing climate.This paper presents 9 fundamenal principles that should be considered when designing adaptation policy, for example, a sound understanding of the potential regional effects of climate on human and ecological systems is required to target appropriate investments in adaptive responses.The distribution of potential impacts across different populations and the mechanisms by which these impacts occur are also key to effective adaptation measures.Options for coping with climatic changes must be considered in the context of multiple stressors.Further, adaptation is likely to exhibit varying levels of effectiveness as demonstrated by current efforts to deal with climate variability.Potential adverse side effects of adaptive strategies must also be accounted for to avoid solutions that are worse than the problem.These issues and others are presented in this paper, with examples from various impacts studies to illustrate key points.

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Crossref · 10.3354/cr011085

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Metadata

Authors
Scheraga, J., & Grambsch, A.
Venue
Climate Research
Published
1998
Volume
11
Pages
85-95
ISSN
  • 0936-577X (ISSN-L)
  • 1616-1572
OpenAlex
W1991595867
Cited by
185
References
1
FWCI
1.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Risks, opportunities and adaptation to climate change. https://app.cochat.ai/papers/10.3354/cr011085
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Scheraga, J., & Grambsch, A. (1998). Risks, opportunities and adaptation to climate change. Climate Research. https://doi.org/10.3354/cr011085

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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.