Tipologi Pergeseran Komoditas Petani Kecil Untuk Agribisnis Adaptif
DOI:
https://doi.org/10.52850/j-sea.v21i2.26995Keywords:
crop switching, open dataset, secondary data, smallholder farmersAbstract
Climate change alters agricultural suitability and increases uncertainty in smallholder crop decisions. This study examined the provenance and eligibility of an open dataset, described crop adoption and abandonment, constructed a four-cell typology from Change and distribution status, and derived cautiously bounded implications for adaptive agribusiness. An exploratory secondary-data design was applied to all 294 crop-change records in DataClim.csv, covering 74 species and 14 countries/regions. Future Mean was calculated as the mean of 12 projected suitability scores across SSP3-7.0 and SSP5-8.5, two periods (2041–2070 and 2071–2100), and three climate models; Delta Future equaled Future Mean minus Current. Adoption comprised 168 records (57.14%) and abandonment 126 (42.86%). The largest cell was adoption–introduced (n = 130; 44.22%), but the association between Change and introduced/native status was not significant (Yates-corrected χ² = 2.627; p = 0.105). Mann–Whitney tests identified exploratory differences in Current, Future Mean, MAR, and SAIN, but not Delta Future. Because records are clustered across species and locations and the dataset lacks household-economic variables, the typology is descriptive rather than causal. Its relevance for Indonesia, particularly Central Kalimantan, therefore requires validation using local agroecological and socioeconomic data.
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