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Journal ArticleDOI

Effective seasonal climate forecast applications: examining constraints for subsistence farmers in Zimbabwe

TLDR
In this article, the authors discuss a set of six constraints limiting the usefulness of forecasts: credibility, legitimacy, scale, cognitive capacity, procedural and institutional barriers, and available choices.
Abstract
For the last decade, climate scientists have improved their skill at predicting seasonal rainfall patterns in many parts of the world based on observations of sea surface temperatures. Making forecasts useful to decision-makers, especially subsistence farmers in developing countries, remains a significant challenge. In this paper, we discuss a set of six constraints limiting the usefulness of forecasts: credibility, legitimacy, scale, cognitive capacity, procedural and institutional barriers, and available choices. We identify how these constraints have in fact limited forecast use so far, and propose means of overcoming them. We then discuss a pilot project in Zimbabwe, where we test our proposals. Drawing from two years’ observation, we offer lessons to guide future efforts at effective forecast communication.

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Citations
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Journal ArticleDOI

Adaptive capacity and human cognition: The process of individual adaptation to climate change

TL;DR: In this paper, a socio-cognitive model of private proactive adaptation to climate change (MPPACC) is proposed, which separates out the psychological steps to taking action in response to perception, and allows one to see where the most important bottlenecks occur.
Book Chapter

Assessment of adaptation practices, options, constraints and capacity

TL;DR: Enright et al. as discussed by the authors presented the Enright-Fankhauser-Gabel-Nantel-Klein model, which is based on the work of the authors of this paper.
Journal ArticleDOI

ENSO as an Integrating Concept in Earth Science

TL;DR: Research to address many intertwined issues regarding ENSO dynamics, impacts, forecasting, and applications remain unresolved will lead to progress across a broad range of scientific disciplines and provide an opportunity to educate the public and policy makers about the importance of climate variability and change in the modern world.
Journal ArticleDOI

Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy

TL;DR: It is found that climate science usability is a function both of the context of potential use and of the process of scientific knowledge production itself, and that iterativity is the result of the action of specific actors and organizations who ‘own’ the task of building the conditions and mechanisms fostering its creation.
Journal ArticleDOI

Coping better with current climatic variability in the rain-fed farming systems of sub-Saharan Africa: An essential first step in adapting to future climate change?

TL;DR: In this paper, the authors present tools and approaches that allow for better understanding, characterization and mapping of the agricultural implications of climate variability and the development of climate risk management strategies specifically tailored to stakeholders needs.
References
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Book ChapterDOI

Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
Journal ArticleDOI

Availability: A heuristic for judging frequency and probability

TL;DR: A judgmental heuristic in which a person evaluates the frequency of classes or the probability of events by availability, i.e., by the ease with which relevant instances come to mind, is explored.
Journal ArticleDOI

Status quo bias in decision making

TL;DR: A series of decision-making experiments showed that individuals disproportionately stick with the status quo as mentioned in this paper, that is, doing nothing or maintaining one's current or previous decision, and that this bias is substantial in important real decisions.
Book ChapterDOI

Bounded rationality, ambiguity, and the engineering of choice

TL;DR: In this paper, a student asked whether it was conceivable that the practical procedures for decision-making implicit in rational theories of choice might make actual human decisions worse rather than better, and he asked whether human choice is improved by knowledge of decision theory or by application of various engineering forms of rational choice.
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