From local to global: understanding linkages between climate shocks and food trade
type: CreativeWork
description: There is increasing interest in identifying and understanding how and why certain countries and their communities are prone to extreme weather events as well as cataloging their coping strategies. A critical component in building knowledge surrounding these extreme events is recognizing that defining these events varies across disciplines and stakeholders. Presently, there is a current lack of a unified, systematic framework to evaluate extreme weather events to agriculture across several spatial, time, and crop domains. The lack of consistency impedes the ability to understand how the occurrence of these events affects the global food trade network. The overarching goal of this dissertation is to determine if food trade mitigates or exacerbates the impact of extreme weather events to agriculturally-relevant areas. Prior efforts to understand what types of events affect agriculture and the food trade network have relied upon datasets that are either time-invariant for agricultural land use or crop-invariant with respect to the extreme events themselves. To overcome these deficits, this dissertation outlines a novel integrative approach that incorporates dynamic land-use modeling, high-resolution crop-specific estimates of extreme event exposure, and global trade data to understand linkages between events and trade across time, space, and crop. We draw upon open access climate, land use, and economic data. First, we have developed a new algorithm to spatially allocate national-level data to estimate likely sub-national crop-specific areas globally over time. We integrate these land-use estimates with crop and climate data to create a uniform framework for evaluating thermal (excessive heat and cold) and hydrologic (drought and floods) extreme events in agriculturally-relevant areas. Lastly, we contribute to the literature by providing an improved understanding of how extreme events in crop-specific agricultural areas affect the global food trade network in terms of t…
abstract: There is increasing interest in identifying and understanding how and why certain countries and their communities are prone to extreme weather events as well as cataloging their coping strategies. A critical component in building knowledge surrounding these extreme events is recognizing that defining these events varies across disciplines and stakeholders. Presently, there is a current lack of a unified, systematic framework to evaluate extreme weather events to agriculture across several spatial, time, and crop domains. The lack of consistency impedes the ability to understand how the occurrence of these events affects the global food trade network. The overarching goal of this dissertation is to determine if food trade mitigates or exacerbates the impact of extreme weather events to agriculturally-relevant areas. Prior efforts to understand what types of events affect agriculture and the food trade network have relied upon datasets that are either time-invariant for agricultural land use or crop-invariant with respect to the extreme events themselves. To overcome these deficits, this dissertation outlines a novel integrative approach that incorporates dynamic land-use modeling, high-resolution crop-specific estimates of extreme event exposure, and global trade data to understand linkages between events and trade across time, space, and crop. We draw upon open access climate, land use, and economic data. First, we have developed a new algorithm to spatially allocate national-level data to estimate likely sub-national crop-specific areas globally over time. We integrate these land-use estimates with crop and climate data to create a uniform framework for evaluating thermal (excessive heat and cold) and hydrologic (drought and floods) extreme events in agriculturally-relevant areas. Lastly, we contribute to the literature by providing an improved understanding of how extreme events in crop-specific agricultural areas affect the global food trade network in terms of t…
author: Jackson, Nicole D
language: en
keywords: agriculture, land use, trade, extreme events, hazards, sustainability
date published: 2021-03-05T21:45:14Z
date modified: 2026-07-22T22:24:50Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: http://hdl.handle.net/2142/109572