Chaichana, Thanapong and Reeve, Graham and Piboonrungroj, Pairach and Muangprathub, Jirapond and Kunno, Jadsada and Robson, Mark Gregory and Drury, Brett (2024) Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change. Data in Brief, 56. ISSN 2352-3409
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Abstract
This survey aimed to acquire and generate significant information on coffee cultivation in high and low elevations to support agriculture during climate change. This survey dataset helps understand coffee cultivation in highland and lowland areas with diverse climates and environmental conditions for coffee researchers to use this data to improve cultivation and production techniques. In the business scope, this dataset provides a critical vision on the value proposition of the coffee business to maintain conservation and wealth creation of the coffee chain. Similarly, coffee chains can use this data as an example to assess sustainability and carbon literacy. The structured interviews and field trips were conducted at coffee plantations in southern and northern Thailand. The transcript results were manually coded for thematic analysis. This dataset offers insights into anthropogenic plant migration and plant distribution for researchers and academics to use as a valuable resource and good reference in agricultural and biodiversity research. Today, agriculture faces many challenges, such as climate change, water shortage, and improper land management. This information on coffee cultivation at high and low altitudes may help others grow crops in ever-changing climates.
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | © 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/) |
| Keywords: | 4101, Climate Change, Impacts, Adaptation |
| Faculty / Department: | Faculty of Human and Digital Sciences > School of Computer Science and the Environment |
| SWORD Depositor: | eprints api |
| Depositing User: | eprints api |
| Date Deposited: | 09 Dec 2024 10:36 |
| Last Modified: | 09 Dec 2024 10:36 |
| URI: | https://hira.hope.ac.uk/id/eprint/4479 |
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