{
  "@context": "https://schema.org",
  "@type": "Book",
  "name": "Food Shock Atlas: Global Vulnerability Rankings Across 12 Crisis Scenarios",
  "author": {
    "@type": "Person",
    "name": "Fred Zimmerman"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Nimble Books LLC",
    "url": "http://bigfivekiller.online"
  },
  "description": "A comprehensive analysis of food system vulnerabilities across 195 countries, examining 12 distinct crisis scenarios including climate disruption, supply chain failure, conflict, pandemic, and economic shock. Each country is scored across 5 vulnerability dimensions: production dependency, import reliance, infrastructure fragility, economic resilience, and climate exposure.",
  "about": [
    "Food security",
    "Food crisis vulnerability",
    "Climate change and agriculture",
    "Global food systems",
    "Supply chain resilience"
  ],
  "genre": ["Nonfiction", "Public Policy", "Agriculture", "Climate Change"],
  "inLanguage": "en",
  "bookFormat": "Paperback",
  "numberOfPages": 350,
  "keywords": [
    "food security", "food crisis", "vulnerability rankings", "climate change agriculture",
    "supply chain disruption", "food systems", "country risk", "food shock",
    "agricultural resilience", "global food vulnerability", "food policy",
    "hunger risk", "crop failure", "import dependency"
  ],
  "status": "forthcoming",
  "key_findings": {
    "total_countries_analyzed": 195,
    "crisis_scenarios": 12,
    "vulnerability_dimensions": 5,
    "methodology": "Multi-dimensional vulnerability scoring combining production data, trade statistics, climate projections, infrastructure indices, and economic indicators",
    "scenario_categories": [
      "Climate disruption (drought, flood, temperature extremes)",
      "Supply chain failure (shipping disruption, trade war, export bans)",
      "Conflict and instability (war, sanctions, civil unrest)",
      "Pandemic and health crisis (labor shortage, logistics breakdown)",
      "Economic shock (currency crisis, commodity price spike, recession)",
      "Compound events (multiple simultaneous shocks)"
    ],
    "key_insight": "Small island developing states and conflict-affected nations face the highest compound vulnerability, while countries with diversified domestic production and strong trade networks show greatest resilience.",
    "top_10_most_vulnerable_regions": [
      "Sub-Saharan Africa (highest average vulnerability)",
      "Small Island Developing States",
      "Middle East and North Africa (import dependency)",
      "Central Asia (climate exposure)",
      "Central America (compound risk)"
    ],
    "top_10_most_resilient_regions": [
      "North America (production diversification)",
      "Western Europe (trade network depth)",
      "Oceania (per-capita production surplus)",
      "South America (agricultural export capacity)",
      "Southeast Asia (rice production buffer)"
    ]
  },
  "data_sources": [
    "FAO FAOSTAT production and trade data",
    "World Bank development indicators",
    "IPCC climate projection scenarios (SSP2-4.5, SSP5-8.5)",
    "UN OCHA humanitarian data",
    "Global Food Security Index (Economist Impact)",
    "USDA Foreign Agricultural Service data"
  ],
  "companion_files": {
    "vulnerability_rankings": "/data/food_shock_atlas_vulnerability.json",
    "full_catalog": "/llms-full.txt",
    "publisher_info": "/llms.txt"
  }
}
