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Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Article . 2011 . Peer-reviewed
License: Royal Society Data Sharing and Accessibility
Data sources: Crossref
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Rethinking adaptation for a 4 ° C world

Authors: Lisa Horrocks; Mark Stafford Smith; Alex Harvey; Clive Hamilton;

Rethinking adaptation for a 4 ° C world

Abstract

With weakening prospects of prompt mitigation, it is increasingly likely that the world will experience 4 ° C and more of global warming. In such a world, adaptation decisions that have long lead times or that have implications playing out over many decades become more uncertain and complex. Adapting to global warming of 4 ° C cannot be seen as a mere extrapolation of adaptation to 2 ° C; it will be a more substantial, continuous and transformative process. However, a variety of psychological, social and institutional barriers to adaptation are exacerbated by uncertainty and long timeframes, with the danger of immobilizing decision-makers. In this paper, we show how complexity and uncertainty can be reduced by a systematic approach to categorizing the interactions between decision lifetime, the type of uncertainty in the relevant drivers of change and the nature of adaptation response options. We synthesize a number of issues previously raised in the literature to link the categories of interactions to a variety of risk-management strategies and tactics. Such application could help to break down some barriers to adaptation and both simplify and better target adaptation decision-making. The approach needs to be tested and adopted rapidly.

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Keywords

Conservation of Natural Resources, Risk Management, Ecology, Earth, Planet, Climate Change, Adaptation, Biological, Temperature, Models, Theoretical, Global Warming, Water Supply, Adaptation, Psychological, London, Animals, Humans

  • BIP!
    Impact byBIP!
    citations
    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).
    282
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
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!
282
Top 1%
Top 1%
Top 1%
hybrid