Here are key data requirements for such assessments:
Temperature and Precipitation Trends: Historical and current climate data on temperature and precipitation patterns. Long-term trends, seasonal variations, and extreme events (e.g., droughts, floods). These data help understand changes in growing seasons, water availability, and crop suitability.
Crop Yield Data: Records of crop yields over time. Compare yields under different climate conditions (e.g., warmer temperatures, altered rainfall). Assess how climate change affects productivity and food production.
Soil Health and Quality: Soil data, including nutrient content, pH, organic matter, and soil moisture. Soil erosion rates and degradation. Soil health impacts crop growth and resilience.
Crop Sensitivity and Adaptation: Crop-specific information on sensitivity to temperature, water stress, and pests. Adaptation strategies (e.g., drought-resistant varieties, modified planting dates). Data on successful adaptation practices.
Water Resources: Water availability, usage, and distribution. Groundwater levels, surface water flow, and irrigation practices. Assess how changing water availability affects agriculture.
Livestock and Animal Health: Livestock production data (milk, meat, eggs). Heat stress effects on animals. Disease outbreaks related to climate shifts.
Economic and Social Data: Farm income, livelihoods, and food security indicators. Vulnerability assessments (e.g., which communities are most affected). Household-level data on food access and nutrition.
Biodiversity and Ecosystem Services: Data on pollinators, natural pest control, and ecosystem services. Biodiversity loss due to climate change. Impact on crop pollination and ecosystem resilience.
Remote Sensing and GIS Data: Satellite imagery for land cover, vegetation health, and land use changes. Geographic information systems (GIS) for spatial analysis. Monitor shifts in agricultural landscapes.
Climate Models and Projections: Future climate scenarios (e.g., IPCC projections). Regional climate models for localized assessments. Use models to predict crop suitability and risks.
Policy and Governance Data: Policies related to agriculture, land use, and climate adaptation. Institutional capacity for managing climate risks. Assess policy effectiveness.
I believe by integrating these data sources; you can better understand the complex interactions between climate change, agriculture, and food security for ur aspired research.
For more, read here:
Chapter 5 : Food Security — Special Report on Climate Change and Land (ipcc.ch)
IPCC AR5: Key findings on implications for agriculture | UNFCCC
Agriculture, food security and climate change: Outlook for knowledge, tools and action (ilri.org)
Climate Change Impacts on Agriculture and Food Supply | US EPA
Dependent variable y1 = good rainy season and y0 = bad rainy season. Independent variables yield of crops, milk productivity, consumption expenditure, income, number of birth or death of kid and calves etc