Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change
Thanapong Chaichana,
Graham Reeve,
Pairach Piboonrungroj,
Jirapond Muangprathub,
Jadsada Kunno,
Mark Gregory Robson,
Brett Drury
Affiliations
Thanapong Chaichana
Department of Research and Medical Innovation, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand; Chiang Mai University, Chiang Mai 50200, Thailand; Corresponding author at: Navamindradhiraj University, Bangkok, 10300, Thailand.
Graham Reeve
School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, England L16 9JD, United Kingdom; Corresponding author at: Liverpool, England L16 9JD, United Kingdom.
Pairach Piboonrungroj
Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand
Jirapond Muangprathub
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
Jadsada Kunno
Department of Research and Medical Innovation, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand
Mark Gregory Robson
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
Brett Drury
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
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 improvecultivation 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.
