Assessment of the Environmental Impacts of a Localized Food System and Food Waste Reduction in a Water-Scarce Region Using Diet Optimization Models

Int J Environ Res Public Health. 2023 May 20;20(10):5890. doi: 10.3390/ijerph20105890.

Abstract

Despite growing interest in fresh local produce across the United States, scaling up local agricultural development might impose new environmental pressures on increasingly scarce water and land resources in specific localities. Drawing upon the case of the Palouse of the US Inland Northwest, this study evaluates land and water footprints of local foods along with food waste reduction in a water-scarce region. We used both non-robust and robust diet-optimization techniques to estimate the minimum amounts of irrigation water necessary to grow foods locally and to satisfy the local population's caloric or nutrition needs. Our modeling results indicate that, on an annual basis, an increase of less than 5% of the current freshwater withdrawal on the Palouse could satisfy 10% of the local population's aspirational demand for locally grown food products, while more than 35% of local foods (by mass) may be wasted. Furthermore, reducing food waste by 50% could simultaneously reduce water use by up to 24%, cropland use by 13%, and pastureland use by 20%. Our findings not only provide intriguing information for access to local food but could also be used to stimulate new efforts to increase consumers' and retailers' awareness of environmental benefits associated with food waste reduction.

Keywords: Inland Northwest; diet optimization; food loss and waste; fruits and vegetables; high-resolution water footprints; local food.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Diet
  • Environment
  • Food*
  • Nutritional Status
  • Refuse Disposal*
  • United States

Grants and funding

This research was funded by the U.S. Department of Agriculture and Food Research Initiative, grant number 2018-68006-28102 and 2014-68006-21866. FL would like to acknowledge partial funding support from the National Science Foundation under Grant No. 2019609.