Assessing the Influence of Temperature and Precipitation on the Yield and Losses of Key Highland Crops in Ecuador

Luis Fernando Guerrero-Vásquez (), María del Cisne Ortega-Cabrera, Nathalia Alexandra Chacón-Reino, Graciela del Rocío Sanmartín-Mesías, Paul Andrés Chasi-Pesántez and Jorge Osmani Ordoñez-Ordoñez
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Luis Fernando Guerrero-Vásquez: Telecommunications and Telematics Research Group (GITEL), Universidad Politécnica Salesiana, Cuenca EC010103, Ecuador
María del Cisne Ortega-Cabrera: Research Group on Applied Embedded Hardware (GIHEA), Universidad Politécnica Salesiana, Cuenca EC010103, Ecuador
Nathalia Alexandra Chacón-Reino: Telecommunications and Telematics Research Group (GITEL), Universidad Politécnica Salesiana, Cuenca EC010103, Ecuador
Graciela del Rocío Sanmartín-Mesías: Master’s Program in Project Management, Universidad Politécnica Salesiana, Cuenca EC010103, Ecuador
Paul Andrés Chasi-Pesántez: Research Group on Applied Embedded Hardware (GIHEA), Universidad Politécnica Salesiana, Cuenca EC010103, Ecuador
Jorge Osmani Ordoñez-Ordoñez: Telecommunications and Telematics Research Group (GITEL), Universidad Politécnica Salesiana, Cuenca EC010103, Ecuador

Agriculture, 2025, vol. 15, issue 18, 1-84

Abstract: Food production systems in Ecuador’s high Andean region are pivotal for food security, rural livelihoods, and agrobiodiversity, yet they are increasingly exposed to climate stress. We assessed four representative crops (tree tomato, quinoa, potato, and maize) across three Andean zones (North, Center, South) in 2015–2022 using monthly NASA POWER (MERRA-2) climate fields. After confirming non-normality, Spearman correlations and multiple linear regressions with leave-one-year-out validation were applied to quantify the influence of maximum/minimum temperature and precipitation on cultivated and harvested area, production, sales, and loss categories. To place monthly signals in a process context, daily extreme-event diagnostics (ETCCDI-style) were also computed: heat days ( TX 90 ), ≥5-day dry spells, and the annual maximum consecutive dry days ( CDD max ). Models explained a wide range of variability across crops and zones (approx. R 2 ∼ 0.55 –0.99), with quinoa showing the most consistent fits (several outcomes R 2 > 0.90 ). Extremes provide an eye-catching, actionable picture: the Southern zone concentrated dryness hazards, with 1–5 dry spells ≥ 5 days per year and CDD max up to ∼8 days, while heat-day frequency showed non-significant declines across zones in 2015–2022. Reanalysis frost days were virtually zero—consistent with under-detection of local valley frosts at coarse resolution—so frost risk was interpreted via monthly signals and reported losses. Overall, the results show precipitation-driven vulnerabilities in the South and support quinoa’s role as a resilient option under increasing climate stress, offering concrete guidance for water management and climate-smart planning in mountain agroecosystems.

Keywords: high Andean agri-food systems; climate change; agri-food chains; statistical analysis; linear regressions; multiple linear regressions (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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