Long-Term Variability of Tropical Crop Productivity in Southeast Asia: A Multi-Source Analysis Using FAOSTAT, WorldClim, and MODIS Time-Series Data
Keywords:
Tropical Crop Productivity, Southeast Asia, Multi-Source Data, Climate Variability, MODIS Time-Series.Abstract
This study investigates the long-term variability of tropical crop productivity across Southeast Asia by integrating multi-source datasets from FAOSTAT production records, WorldClim climatic variables, and MODIS vegetation time-series. The analysis captures multi-decadal fluctuations in rainfall, temperature, and vegetation dynamics that influence yield performance under intensifying hydroclimatic stress across diverse agroecosystems. The results show that crop production is shaped by interacting drivers such as recurrent drought, rising surface temperatures, land-management pressures, and soil degradation processes that alter canopy vigor and phenological stability. Spatial patterns reveal that regions exposed to persistent water deficits, peatland subsidence, and vegetation stress exhibit stronger declines in productivity, while areas with improved soil amendments and adaptive cultivation strategies maintain more stable year-to-year yield trajectories. The combined evidence highlights the importance of continuous monitoring, early-warning systems, and region-specific management interventions to safeguard food security as environmental conditions shift rapidly. This study contributes a comprehensive assessment of long-term agricultural variability using harmonized climate, production, and remote-sensing datasets and provides a basis for strengthening regional resilience across the Southeast Asian tropical crop sector.
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