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Integrated Approaches To Understanding And Reducing Drought Impact On Food Security Across Scales, Xiaogang He, Lyndon Estes, Megan Konar, Di Tian, Daniela Anghileri, Kathy Baylis, Tom P. Evans, Justin Sheffield
Integrated Approaches To Understanding And Reducing Drought Impact On Food Security Across Scales, Xiaogang He, Lyndon Estes, Megan Konar, Di Tian, Daniela Anghileri, Kathy Baylis, Tom P. Evans, Justin Sheffield
Geography
Understanding the cross-scale linkages between drought and food security is vital to developing tools to reduce drought impacts and support decision making. This study reviews how drought hazards transfer to food insecurity through changes in physical processes and socio-environmental systems across a wide range of spatial and temporal scales. We propose a multi-scale, integrated framework leveraging modeling advances (e.g. drought and crop monitoring, water-food-energy nexus, decision making) and increased data availability (e.g. satellite remote sensing, food trade) through the lens of the coupled human–natural system to support multidisciplinary approaches and avoid potential policy spillover effects. We discuss current scale-dependent challenges …
A High-Frequency Mobile Phone Data Collection Approach For Research In Social-Environmental Systems: Applications In Climate Variability And Food Security In Sub-Saharan Africa, Stacey A. Giroux, Inna Kouper, Lyndon Estes, Jacob Schumacher, Kurt Waldman, Joel T. Greenshields, Stephanie L. Dickinson, Kelly K. Caylor, Tom P. Evans
A High-Frequency Mobile Phone Data Collection Approach For Research In Social-Environmental Systems: Applications In Climate Variability And Food Security In Sub-Saharan Africa, Stacey A. Giroux, Inna Kouper, Lyndon Estes, Jacob Schumacher, Kurt Waldman, Joel T. Greenshields, Stephanie L. Dickinson, Kelly K. Caylor, Tom P. Evans
Geography
Collecting high-frequency social-environmental data about farming practices in sub-Saharan Africa can provide new insight into environmental changes that farmers face and how they respond within smallholder agro-ecosystems. Traditional data collection methods such as agricultural censuses are costly and not useful for understanding intra-annual and real-time decisions. Short-message service (SMS) has the potential to transform the nature of data collection in coupled social-ecological systems. We present a system for collecting, managing, and synthesizing weekly data from farmers, including data infrastructure for management of big and heterogeneous datasets; probabilistic data quality assessment tools; and visualization and analysis tools such as mapping and …