Survey responses from farmers on strengthening agricultural drought resilience in Thailand, 2020

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Environmental Information Data Centre
Last updated:
06 July 2024
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Summary

This dataset contains the results of a farmers’ survey in the Ping Catchment in Thailand. The aim of this survey was to identify the specific socioeconomic impacts that historical droughts in the Ping catchment have had for agricultural communities, and identify factors affecting adaptation decisions, as well as analyse the communications with and amongst farmers at the local scale in the Ping catchment during drought. Villages in the Ping catchment with a history of drought were selected to represent typical agricultural production typologies. In total, 176 questionnaires were completed with a close to even distribution of respondents coming from the provinces of Chiang Mai (n=41), Lamphun (n=45), Kamphaeng Phet (n=45) and Tak (n=45). Full details about this dataset can be found at https://doi.org/10.5285/155e1867-bc9d-44f0-9f85-0f682964f720

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Supporting information ZIP 06 July 2024 Not available
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Added to data.gov.uk
2024-07-01
Access contraints
If you reuse this data, you should cite: Rey Vicario, D., Salmoral, G., Pardthaisong, L., Visessri, S., Ekkawatpanit, C., Sutcliffe, C., Holman, I.P. (2022). Survey responses from farmers on strengthening agricultural drought resilience in Thailand, 2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/155e1867-bc9d-44f0-9f85-0f682964f720
Harvest GUID
155e1867-bc9d-44f0-9f85-0f682964f720
Extent
Latitude: 22.838° to 10.967°
Longitude: 96.593° to 106.214°
Spatial reference system
Dataset reference date
2022-07-20 (publication)
Frequency of update
Responsible party
Cranfield University (author, pointOfContact, owner); Cranfield University and Icatalist (author); Chiang Mai University (author); Chulalongkorn University (author); King Mongkut's University of Technology, Thonburi (author); Cranfield University and Royal Horticultural Society (author); (custodian, publisher)
ISO 19139 resource type
dataset
Metadata language
eng
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