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Data to reproduce Bayesian analysis in “Farmer climate tracking”

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dc.contributor.authorSalerno, Jonathan
dc.contributor.authorBridges, Ryan
dc.contributor.authorBailey, Karen
dc.contributor.authorDiem, Jeremy
dc.coverage.spatialBwindi and Masindi sites, Western Ugandaen_US
dc.coverage.temporal2018-2019en_US
dc.date.accessioned2021-03-23T16:48:14Z
dc.date.available2021-03-23T16:48:14Z
dc.date.issued2021
dc.descriptionData were collected in 2018 and 2019 to investigate the role of Congo westerlies in seasonal rainfall patterns in western Uganda.en_US
dc.descriptionOriginal abstract: People across the Earth observe climate change and its impacts in various ways. These observations, mediated by cultures and capacities, shape adaptive responses. Adaptation is critical in regions of smallholder agriculture where climatic changes are ongoing. Combining farmer observations with satellite-based rainfall estimates, we show that farmer fidelity of rainfall patterns predicts higher crop yields. Findings demonstrate the value of smallholder knowledge systems in filling information gaps in climate science while suggesting ways to improve adaptive capacity to future climate change.
dc.description.abstractThis dataset has been removed from Mountain Scholar because the associated manuscript has been published with a different data availability statement: "Summary data supporting findings and conclusions are available within the paper and the online supplemental information. Rainfall and temperature data are cited within the paper. Deidentified household data to reproduce analyses are available from the authors."
dc.description.sponsorshipResearch was supported by the National Science Foundation (award number 1740201) and approved by the Uganda National Council for Science and Technology.en_US
dc.identifier.urihttps://hdl.handle.net/10217/229275
dc.identifier.urihttp://dx.doi.org/10.25675/10217/229275
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbySalerno, J., and Coauthors, 2022: Smallholder knowledge of local climate conditions predicts positive on-farm outcomes. Weather, Climate, and Society, 14, 671-680. https://doi.org/10.1175/WCAS-D-21-0131.1
dc.subjectrainfallen_US
dc.subjectclimateen_US
dc.subjectfarmer observationsen_US
dc.subjectUgandaen_US
dc.titleData to reproduce Bayesian analysis in “Farmer climate tracking”en_US
dc.typeDataseten_US

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