Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 214

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

Who can eat information? Examining the effectiveness of seasonal climate forecasts and regional climate-risk management strategies

Open access
Vogel, C, O’Brien, K·2006·Climate Research

Abstract

Southern Africa is a region facing multiple stressors, including chronic, recurrent food insecurity and persistent threats of famine.Climate information, including seasonal climate forecasts, has been heralded as a promising tool for early-warning systems and agricultural risk management in southern Africa.Nevertheless, there is concern that climate information, for example climate forecasts, are not realizing their potential value in the region.The present study considers the actual and potential roles played by climate information in reducing food insecurity in southern Africa from 2 perspectives.The first relates to improved understanding of the contextual environment in which end users operate and use information.Users, including farmers, usually operate in an environment of considerable uncertainty, reacting to and coping with multiple stressors whose impacts are not always clear or predictable.The second perspective relates to improving the current design and variety of mechanisms (e.g.climate outlook forums) for the dissemination and uptake of climate information.The first relates to improved understanding of the contextual environment in which end users operate and use information.Users, including farmers, usually operate in an environment of considerable uncertainty, reacting to and coping with multiple stressors whose impacts are not always clear or predictable.The second perspective relates to improving the current design and variety of mechanisms (e.g.climate outlook forums) for the dissemination and uptake of climate information.Climate information, it is argued, used in isolation (e.g. in 'stand alone' climate outlook forums) and undertaken in a traditional, linear fashion, where information is moved from producer to user, is divorced from the broader, complex social context in which such information is embedded.This current articulation of climate information flow represents an ineffective means of dealing with climate variability and food security.Alternative modes of interaction (e.g. using existing platforms to 'piggyback' information or seeking appropriate 'boundary organisations') should be found to sustainably manage climate risks in the region.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3354/cr033111

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 214

Metadata

Authors
Vogel, C., & O’Brien, K.
Venue
Climate Research
Published
2006-12-21
Volume
33
Pages
111-122
ISSN
  • 0936-577X (ISSN-L)
  • 1616-1572
OpenAlex
W2052687821
Cited by
214
References
1
FWCI
6.69
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Who can eat information? Examining the effectiveness of seasonal climate forecasts and regional climate-risk management strategies. https://app.cochat.ai/papers/10.3354/cr033111
The paper
Vogel, C., & O’Brien, K. (2006). Who can eat information? Examining the effectiveness of seasonal climate forecasts and regional climate-risk management strategies. Climate Research. https://doi.org/10.3354/cr033111

Data sources

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.