Exploring the relationship between agricultural intensification and changes in cropland areas in the US

Lin, Meimei; Huang, Qiping

doi:10.1016/j.agee.2018.12.019

Cited by 23 publications

(15 citation statements)

References 45 publications

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“…We see membership in the cutting edge of industrial production in the upper-right change. By 1980, North Dakota has joined the Corn Belt states of Iowa, Illinois, and Indiana in its mix of commodity crops, a shift that Lin and Huang (2019) tracked down to the county level. Its neighbor South Dakota approaches this first tier but by a different trajectory.…”

Section: Resultsmentioning

confidence: 99%

At what geographic scales does agricultural alienation amplify foodborne disease outbreaks? A statistical test for 25 U.S. states, 1970-2000

Okamoto

Liebman

Wallace

2019

Preprint

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The modern economy is driving multiple environmental and social crises across the globe. Capital accumulation externalizes the myriad damage associated with commodity production to ecosystems, labor, public health, and governments across jurisdictions. A growing literature shows multinational agriculture, a major sector of the economy, plays a fundamental role in disrupting the ecological cycles upon which communities across the globe depend. We report here one of the first statistical tests of such an ecosocial rift. We used geometric morphometrics to characterize a parameter space in agricultural alienation across nature, human welfare, and industrial appropriation for 25 U.S. states, at five-year increments between 1970 and 2000. The first two relative warps of the analysis reproduce the long-documented shift in and out of the 1980s farming crisis. We found the crisis left the U.S. food system in a new configuration, with commodity crops replacing cropland pasture, greater farm debt load, overcapitalized inputs, and a relative decline in on-farm wages. To determine if such a shift had an epidemiological impact, we tested whether salmonellosis and shigellosis - two foodborne pathogens for which national incidence data across the study period were available - regressed against historical changes in this alienation space across geographic scale. The second relative warp for shigellosis showed a multivariate relationship with the alienation space, but significance failed to withstand a Bonferroni correction. The partial warps and Procrustes residuals of temporal trends in the alienation space likewise exhibited limited predictive capacity for outbreak size. In part these results may reflect sampling artifacts. Data availability limits both the number of years sampled and the variety of diseases tested. Nevertheless, our analyses demonstrate that metabolic rifts associated with specific modes of production can be rigorously investigated.

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Section: Resultsmentioning

confidence: 99%

At what geographic scales does agricultural alienation amplify foodborne disease outbreaks? A statistical test for 25 U.S. states, 1970-2000

Okamoto

Liebman

Wallace

2019

Preprint

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“…It is similar to the two up-scaling datasets derived from the original products with a high spatial resolution. Considering the common knowledge of both the natural environment and cropland cultivation [56,57], we claim that the "L" shaped curve in the histogram is a reasonable distribution of different cropland fraction based on pixel scale around the world. To meet the enormous food demand caused by large population and increasing needs for material living standards, most parts of the land with favorable agricultural conditions had already been cultivated in the modern world.…”

Section: Improvement Of Spatial Distribution and Cropland Fraction Onmentioning

confidence: 90%

Synergistic Modern Global 1 Km Cropland Dataset Derived from Multi-Sets of Land Cover Products

Zhang

Fang

et al. 2019

Remote Sensing

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The quality of global cropland products could affect our understanding of the impacts of cropland reclamation on global changes. With the advancement of remote sensing technology, several global land cover products and synergistic datasets have been developed in recent decades. However, there are still some disagreements among the global cropland datasets. In this paper, we proposed a new synergistic method that integrates the reliability of spatial distribution and cropland fraction on a pixel scale, and developed a modern (around 2000 C.E.) fractional cropland dataset with a 1 km × 1 km spatial resolution on the basis of the spatial consistency of cropland reclamation intensity derived from multi-sets of global land cover products. The main conclusions are shown as follows: (1) The accuracy of spatial distribution assessed by validation samples in this synergistic dataset reaches 87.6%, and the dataset also has a moderate amount of cropland pixels when compared with other products. (2) The reliability of cropland fraction on the pixel scale had been highly improved, and most cropland pixel has a higher fraction (over 90%) in this dataset. The “L” shape of the histogram of pixel numbers with different reclamation intensities is reasonable because it is consistent with the up-scaling results derived from satellite-derived products with high spatial resolutions and the expert knowledge on cultivation. (3) The cropland areas in this non-calibrated result are generally closer to that of FAOSTAT on scales from global to national when compared to other non-calibrated synergistic datasets and original satellite-derived products. (4) The reliability of the synergistic result developed by this method might be decreased to some degree in the regions with high discrepancies among the original multi-sets of cropland datasets.

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“…Our Midwestern study area ( Figure 1 ) includes three Landsat footprints (World Reference System path (p) and row (r) of p23r31, p23r32, and p24r33). The area represented by the three Landsat footprints has both major agricultural production zones and dense population centers [ 6 , 7 ]. As a result, approximately 85% of the pre-European settlement wetlands and similar waters have been lost from the region to agricultural drainage and urban development [ 39 , 40 ].…”

Section: Methodsmentioning

confidence: 99%

“…Land use and land cover (LULC) progression in the Midwestern United States (US) has changed from historically widespread tallgrass prairie and forested landscapes to intensively managed agricultural lands and highly developed urban landscapes [ 1 - 5 ]. This massive transformation has made the Midwestern US one of the most agriculturally productive regions of the US, where nine states (Illinois, Indiana, Iowa, Kansas, Minnesota, Missouri, Nebraska, Ohio, and South Dakota) are responsible for 76% of the total US crop production [ 6 ]. Similarly, urbanization has altered the landscape; between 1940 and 2000 the number of housing units in the Midwestern US grew by 146%, with much of the urbanization occurring in areas peripheral to the metropolitan centers [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017)

et al. 2020

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To understand the timing, extent, and magnitude of land use/land cover (LULC) change in buffer areas surrounding Midwestern US waters, we analyzed the full imagery archive (1982–2017) of three Landsat footprints covering ~100,000 km2. The study area included urbanizing Chicago, Illinois and St. Louis, Missouri regions and agriculturally dominated landscapes (i.e., Peoria, Illinois). The Continuous Change Detection and Classification algorithm identified 1993–2017 LULC change across three Landsat footprints and in 90 m buffers for ~110,000 surface waters; waters were also size-binned into five groups for buffer LULC change analyses. Importantly, buffer-area LULC change magnitude was frequently much greater than footprint-level change. Surface-water extent in buffers increased by 14–35x the footprint rate and forest decreased by 2–9x. Development in buffering areas increased by 2–4x the footprint-rate in Chicago and Peoria area footprints but was similar to the change rate in the St. Louis area footprint. The LULC buffer-area change varied in waterbody size, with the greatest change typically occurring in the smallest waters (e.g., <0.1 ha). These novel analyses suggest that surface-water buffer LULC change is occurring more rapidly than footprint-level change, likely modifying the hydrology, water quality, and biotic integrity of existing water resources, as well as potentially affecting down-gradient, watershed-scale storages and flows of water, solutes, and particulate matter.

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Exploring the relationship between agricultural intensification and changes in cropland areas in the US

Cited by 23 publications

References 45 publications

At what geographic scales does agricultural alienation amplify foodborne disease outbreaks? A statistical test for 25 U.S. states, 1970-2000

At what geographic scales does agricultural alienation amplify foodborne disease outbreaks? A statistical test for 25 U.S. states, 1970-2000

Synergistic Modern Global 1 Km Cropland Dataset Derived from Multi-Sets of Land Cover Products

Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017)

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