336
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Analyzing Sustainable, Localized Food Production Systems With a Systematic Optimization Model

, , &
Pages 220-232 | Published online: 26 May 2011
 

Abstract

Localized food production and sourcing is drawing increasing attention due to economic, environmental and health considerations. Yet significant challenges exist, such as how to effectively and efficiently map the localized supply and demand. In order to address this issue, we developed a framework that incorporates the population, dietary, and geographical information to map the potential foodsheds. The focus in this study is to minimize the total geographic distribution among the foodsheds. We also developed innovative protocols and metrics to analyze the foodshed localization of geographic areas. Data from Iowa are utilized to analyze and validate the optimization model. This study has the potential to be adapted to other regions.

Acknowledgments

Funds for this project have been provided by the Leopold Center for Sustainable Agriculture. Established by the 1987 Iowa Groundwater Protection Act, the Leopold Center supports the development of profitable farming systems that conserve natural resources. More information about the Leopold Center is available on the Web at http://www.leopold.iastate.edu or by calling the Center at (515) 294–3711.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 141.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.