Regional self-reliance of the Northeast food system

Author:

Griffin Timothy,Conrad Zach,Peters Christian,Ridberg Ronit,Tyler Ellen Parry

Abstract

AbstractFarms producing similar products have become increasingly concentrated geographically over the past century in the United States (US). Due to the concentration of food production, a disruption in key production areas may reduce the availability of certain foods nationwide. For example, climate change poses such a threat, with projections of altered precipitation patterns, increased temperature and pest outbreaks, which may result in reduced crop yields and geographic shifts in crop adaptation. Analyses of the degree to which US regions can satisfy the food needs of their resident populations—a concept we refer to as regional self-reliance (RSR)—are therefore warranted. We focus on the Northeast region because of its high population density and declining agricultural landbase. Our objectives are to: (1) determine how agricultural land is used in the Northeast region; (2) determine the variety and amount of foods produced; and (3) analyze the relationship between food consumption and agricultural output. Annual (2001–2010) data on land area, yield and output of all crops and major livestock categories, as well as seafood landings, were catalogued. National annual (2001–2009) data on food availability were used as a proxy for estimates of food consumption, and these data were downscaled to a regional level and compared with regional production data in order to estimate RSR. In the Northeast region, approximately 65% of land in farms contributed directly to the food supply from 2001 to 2010, although this varied significantly across states. Just over one-half of all land in farms in the region was devoted to the production of livestock feed. The region produced >100 food crops annually from 2001 to 2009, and vegetables represented the majority of food crop production by weight. Chicken accounted for the largest weight of meat products produced. Compared to the Northeast region's share (~6%) of total land in farms in the nation, it accounted for disproportionately higher amounts of the national production of dairy (16%), eggs (13%), chicken (9%), lamb (7%) and vegetables (7%). However, the region accounted for ~22% of the national population and therefore produced a disproportionately low share of food on a per capita basis. RSR for plant-based foods was lowest for pulses (7%) and highest for vegetables (26%). There are four specific factors in the RSR in our analysis, each of which could result in substantial shifts (upward or downward) of the RSR in the future: land used for agriculture, crop (or animal) productivity, population and dietary preferences.

Publisher

Cambridge University Press (CUP)

Subject

Agronomy and Crop Science,Food Science

Reference90 articles.

1. USDA National Agricultural Statistics Service (NASS). 2009. Census of Horticultural Specialties. US Government Printing Office, Washington, DC. Available at Web site: http://www.agcensus.usda.gov/Publications/Census_of_Horticulture_Specialties/ (verified April 17, 2012).

2. USDA National Agricultural Statistics Service (NASS). 2007. Census of Agriculture. US Government Printing Office, Washington, DC. Available at Web site: http://www.agcensus.usda.gov/Publications/2007/index.php (verified April 17, 2012).

3. USDA National Agricultural Statistics Service (NASS). 2007. Census of Agriculture. Tables 26, 30, 32, and 34. US Government Printing Office, Washington, DC. Available at Web site: http://www.agcensus.usda.gov/Publications/2007/index.php (verified October 28, 2013).

4. United Nations, Food and Agriculture Organization. 1992. Conversion factors: landed weight to live weight. FAO Fisheries Circular. Fisheries and Aquaculture Department. No. 847. Available at Web site: http://fao.org/ (verified June 8, 2012).

5. Kee E. and Eernest E. 2005–2007. Lima beans variety trial results. University of Delaware, Cooperative Extension. Available at Web site: http://ag.udel.edu/extension/vegprogram/trialresults.htm (verified April 25, 2012).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3