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一项关于低地和高地地区咖啡种植的调查数据,以支持气候变化期间的农业发展。

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

作者信息

Chaichana Thanapong, Reeve Graham, Piboonrungroj Pairach, Muangprathub Jirapond, Kunno Jadsada, Robson Mark Gregory, Drury Brett

机构信息

Department of Research and Medical Innovation, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand.

Chiang Mai University, Chiang Mai 50200, Thailand.

出版信息

Data Brief. 2024 Aug 25;56:110881. doi: 10.1016/j.dib.2024.110881. eCollection 2024 Oct.

DOI:10.1016/j.dib.2024.110881
PMID:39286423
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11404076/
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.

摘要

本次调查旨在获取并生成有关高海拔和低海拔地区咖啡种植的重要信息,以支持气候变化背景下的农业发展。该调查数据集有助于了解不同气候和环境条件下高地和低地地区的咖啡种植情况,供咖啡研究人员利用这些数据改进种植和生产技术。在商业范围内,该数据集为咖啡业务的价值主张提供了关键视角,以维护咖啡产业链的保护和财富创造。同样,咖啡产业链可以将此数据作为评估可持续性和碳素养的范例。在泰国南部和北部的咖啡种植园进行了结构化访谈和实地考察。对访谈记录结果进行了手动编码以进行主题分析。该数据集为研究人员和学者提供了有关人为植物迁移和植物分布的见解,可作为农业和生物多样性研究中的宝贵资源和良好参考。如今,农业面临诸多挑战,如气候变化、水资源短缺和土地管理不当。这些关于高海拔和低海拔地区咖啡种植的信息可能有助于其他人在不断变化的气候条件下种植作物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/f2e5f53f3511/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/bce93aea8432/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/fa47c6cd242f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/f2e5f53f3511/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/bce93aea8432/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/fa47c6cd242f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb86/11404076/f2e5f53f3511/gr3.jpg

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本文引用的文献

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Predicting best planting location and coffee cup quality from chemical parameters: An evaluation of raw Arabica coffee beans from São Paulo over two harvests.从化学参数预测最佳种植地点和咖啡杯测质量:对圣保罗两个收获期的生阿拉比卡咖啡豆的评估。
Food Res Int. 2024 Nov;195:114911. doi: 10.1016/j.foodres.2024.114911. Epub 2024 Aug 11.
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Modelling and assessing new SME digital business status for visualising virtual economics and sustainability economic indicators: Empirical evidence from poultry business.为可视化虚拟经济和可持续性经济指标对新的中小企业数字业务状况进行建模和评估:来自家禽业的实证证据。
Heliyon. 2024 May 4;10(9):e30624. doi: 10.1016/j.heliyon.2024.e30624. eCollection 2024 May 15.
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Effect of growing conditions and postharvest processing on arabica coffee bean physical quality features and defects.
生长条件和采后处理对阿拉比卡咖啡豆物理品质特征及缺陷的影响。
Heliyon. 2022 Apr 4;8(4):e09201. doi: 10.1016/j.heliyon.2022.e09201. eCollection 2022 Apr.
4
Effect of greenhouse conditions on the leaf apoplastic proteome of Coffea arabica plants.温室条件对阿拉比卡咖啡植株叶片质外体蛋白质组的影响。
J Proteomics. 2014 Jun 2;104:128-39. doi: 10.1016/j.jprot.2014.03.024. Epub 2014 Mar 31.