Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change.

Autor:	Chaichana T; Department of Research and Medical Innovation, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand.; Chiang Mai University, Chiang Mai 50200, Thailand., Reeve G; School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, England L16 9JD, United Kingdom., Piboonrungroj P; Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand., Muangprathub J; Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand.; Integrated High-Value of Oleochemical (IHVO) Research Center, Surat Thani Campus, Prince of Songkla University, Surat Thani 84000, Thailand., Kunno J; Department of Research and Medical Innovation, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand., Robson MG; Department of Plant Biology, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, New Jersey 08901, United States.; Environmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, New Jersey 08854, United States., Drury B; School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, England L16 9JD, United Kingdom.; LIAAD-INESC-TEC, R. Dr. Roberto Frias, Porto 4200-465, Portugal.; Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, United Kingdom.
Jazyk:	angličtina
Zdroj:	Data in brief [Data Brief] 2024 Aug 25; Vol. 56, pp. 110881. Date of Electronic Publication: 2024 Aug 25 (Print Publication: 2024).
DOI:	10.1016/j.dib.2024.110881
Abstrakt:	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. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The generative AI writing app is not used for writing. (© 2024 The Author(s).)
Databáze:	MEDLINE
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