The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Actionable climate knowledge: from analysis to synthesis
Open accessAbstract
The traditional reductionist approach to science has a tendency to create 'islands of knowledge in a sea of ignorance', with a much stronger focus on analysis of scientific inputs rather than synthesis of socially relevant outcomes.This might be the principal reason why intended end users of climate information generally fail to embrace what the climate science community has to offer.The translation of climate information into real-life action requires 3 essential components: salience (the perceived relevance of the information), credibility (the perceived technical quality of the information) and legitimacy (the perceived objectivity of the process by which the information is shared).We explore each of these components using 3 case studies focused on dryland cropping in Australia, India and Brazil.In regards to 'salience' we discuss the challenge for climate science to be 'policy-relevant', using Australian drought policy as an example.In a village in southern India 'credibility' was gained through engagement between scientists and risk managers with the aim of building social capital, achieved only at high cost to science institutions.Finally, in Brazil we found that 'legitimacy' is a fragile, yet renewable resource that needs to be part of the package for successful climate applications; legitimacy can be easily eroded but is difficult to recover.We conclude that climate risk management requires holistic solutions derived from cross-disciplinary and participatory, user-oriented research.Approaches that combine climate, agroecological and socioeconomic models provide the scientific capabilities for establishment of 'borderless' institutions without disciplinary constraints.Such institutions could provide the necessary support and flexibility to deliver the social benefits of climate science across diverse contexts.Our case studies show that this type of solution is already being applied, and suggest that the climate science community attempt to address existing institutional constraints, which still impede climate risk management.
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.
Integrity signals
Registry
Cites
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.
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
Cites
Rural Livelihoods and Diversity in Developing Countries
Ellis, F. (2000) · doi:10.1093/oso/9780198296959.001.0001 · Cited by 3,999
Cited by
Vaughan, C., & Dessai, S. (2014) · WIREs Climate Change · doi:10.1002/wcc.290 · Cited by 526
Koschke, L., Fürst, C., Frank, S., & Makeschin, F. (2012) · Ecological Indicators · doi:10.1016/j.ecolind.2011.12.010 · Cited by 428
Conceptual elements of climate change vulnerability assessments: a review
Bruno Soares, M., S. Gagnon, A., & M. Doherty, R. (2012) · International Journal of Climate Change Strategies and Management · doi:10.1108/17568691211200191 · Cited by 110
Maize landraces and adaptation to climate change in Mexico
Hellin, J., Bellon, M. R., & Hearne, S. J. (2014) · Journal of Crop Improvement · doi:10.1080/15427528.2014.921800 · Cited by 106
Metadata
- Authors
- Meinke, H., Nelson, R., Kokic, P., Stone, R., Selvaraju, R., & Baethgen, W.
- Venue
- Climate Research
- Publisher
- Inter-Research Science Center
- Published
- 2006-12-21
- Volume
- 33
- Pages
- 101-110
- ISSN
- 0936-577X (ISSN-L)
- 1616-1572
- OpenAlex
- W1990416441
- Cited by
- 242
- References
- 1
- FWCI
- 54.18
- 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: Actionable climate knowledge: from analysis to synthesis. https://app.cochat.ai/papers/10.3354/cr033101
- The paper
- Meinke, H., Nelson, R., Kokic, P., Stone, R., Selvaraju, R., & Baethgen, W. (2006). Actionable climate knowledge: from analysis to synthesis. Climate Research. https://doi.org/10.3354/cr033101
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.