Abstract
Food insecurity early warning can provide time to mitigate unfolding crises; however, drought remains a large source of uncertainty. The challenge is to filter unclear or conflicting signals from various climatic and socio-economic variables and link them to food security outcomes. Integrating lag-1 autocorrelation diagnostics into remotely sensed observations from the Soil Moisture Active Passive (SMAP) mission and food prices, we found a dramatic improvement in anticipating the timing and intensity of food crises, except in conflict settings.
Original language | English |
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Pages (from-to) | 956–964 |
Number of pages | 12 |
Journal | Nature Sustainability |
DOIs | |
Publication status | Published - 2022 Sept 29 |
Externally published | Yes |
Subject classification (UKÄ)
- Agricultural Science, Forestry and Fisheries
Free keywords
- early warning
- Food Crisis