Connectivity of the American Agricultural Landscape: Assessing the National Risk of Crop Pest and Disease Spread

被引:125
作者
Margosian, Margaret L. [1 ]
Garrett, Karen A. [1 ]
Hutchinson, J. M. Shawn [2 ]
With, Kimberly A. [3 ]
机构
[1] Kansas State Univ, Dept Plant Pathol, Manhattan, KS 66506 USA
[2] Kansas State Univ, Dept Geog, Manhattan, KS 66506 USA
[3] Kansas State Univ, Div Biol, Manhattan, KS 66506 USA
基金
美国国家科学基金会;
关键词
geographic information systems; graph theory; invasive species; landscape connectivity; networks; PLANT-DISEASE; AERIAL DISPERSAL; UNITED-STATES; EPIDEMIOLOGY; DIVERSITY; NETWORKS; MODELS; SYSTEM; SCALE;
D O I
10.1525/bio.2009.59.2.7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
More than two-thirds of cropland in the United States is devoted to the production of just four crop species-maize, wheat, soybeans, and cotton-raising concerns that homogenization of the American agricultural landscape could facilitate widespread disease and pest outbreaks, compromising the national food supply. As a new component in national agricultural risk assessment, we employed a graph-theoretic approach to examine the connectivity of these crops across the United States. We used county crop acreage to evaluate the landscape resistance to transrnission-the degree to which host availability limits spread in any given region-for pests or pathogens dependent on each crop. For organisms that cats disperse under conditions of lower host availability, maize and soybean are highly connected at a national scale, compared with the more discrete regions of wheat and cotton production. Determining the scales at which connectivity becomes disrupted for organisms with different dispersal abilities may help target rapid-response regions and the development of strategic policies to enhance agricultural landscape heterogeneity.
引用
收藏
页码:141 / 151
页数:11
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