Estimating Available Abandoned Cropland in the United States: Possibilities for Energy Crop Production

Baxter, Ryan E.; Calvert, Kirby

doi:10.1080/24694452.2017.1298985

Cited by 17 publications

(31 citation statements)

References 37 publications

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“…The majority of the studies identified AAL ( Figure 6) using object-based image analysis (OBIA) [32,35,49,54,56,76] and multitemporal analysis (MA) [47,52,58,61,74] methods. Most of the studies related to these methods combined different approaches.…”

Section: Methods For Identification Of Aal Classesmentioning

confidence: 99%

A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

et al. 2019

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This study aims to analyze and assess studies published from 1992 to 2019 and listed in the Web of Science (WOS) and Current Contents (CC) databases, and to identify agricultural abandonment by application of remote sensing (RS) optical and microwave data. We selected 73 studies by applying structured queries in a field tag form and Boolean operators in the WOS portal and by expert analysis. An expert assessment yielded the topical picture concerning the definitions and criteria for the identification of abandoned agricultural land (AAL). The analysis also showed the absence of similar field research, which serves not only for validation, but also for understanding the process of agricultural abandonment. The benefit of the fusion of optical and radar data, which supports the application of Sentinel-1 and Sentinel-2 data, is also evident. Knowledge attained from the literary sources indicated that there exists, in the world literature, a well-covered problem of abandonment identification or biomass estimation, as well as missing works dealing with the assessment of the natural accretion of biomass in AAL.

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Section: Methods For Identification Of Aal Classesmentioning

confidence: 99%

A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

et al. 2019

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“…Less is understood on how warm-season perennial grasses will perform across a variety of landscape conditions including marginal land. The definition of marginal land varies across publications; however, it is based on crop production potential and economic return (underproductive, inaccessible, barren, or set aside land), as well as the environmental risk or degradation associated with crop production or other activities (Baxter & Calvert, 2017;Gopalakrishnan, Negri, & Snyder, 2011;Peterson & Galbraith, 1932;Ssegane et al, 2016). Many studies have discussed the importance and potential of warm-season grass production on marginal land for bioenergy (Gopalakrishnan et al, 2011;Kludze et al, 2013;Quinn et al, 2015) but few studies have actually assessed their production potential on marginal land (Boe et al, 2009;Gelfand et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Impact of warm‐season grass management on feedstock production on marginal farmland in Central Illinois

et al. 2019

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The production of dedicated energy crops on marginally productive cropland is projected to play an important role in reaching the US Billion Ton goal. This study aimed to evaluate warm‐season grasses for biomass production potential under different harvest timings (summer [H1], after killing frost [H2], or alternating between two [H3]) and nitrogen (N) fertilizer rates (0, 56, and 112 kg N/ha) on a wet marginal land across multiple production years. Six feedstocks were evaluated including Miscanthus x giganteus, two switchgrass cultivars (Panicum virgatum L.), prairie cordgrass (Spartina pectinata Link), and two polycultures including a mixture of big bluestem (Andropogon gerardii Vitman), indiangrass (Sorghastrum nutans), and sideoats grama (Bouteloua curtipendula [Michx.] Torr.), and a mixture of big bluestem and prairie cordgrass. Across four production years, harvest timing and feedstock type played an important role in biomass production. Miscanthus x giganteus produced the greatest biomass (18.7 Mg/ha), followed by the switchgrass cultivar “Liberty” (14.7 Mg/ha). Harvest in H1 tended to increase yield irrespective of feedstock; the exception being M. x giganteus that had significantly lower biomass when harvested in H1 when compared to H2 and H3. The advantage H1 harvest had over H2 for all feedstocks declined over time, suggesting H2 or H3 would provide greater and more sustainable biomass production for the observed feedstocks. The N application rate played an important role mainly for M. x giganteus where 112 kg N/ha yielded more biomass than no N. Other feedstocks occasionally showed a slight, but statistically insignificant increase in biomass yield with increasing N rate. This study showed the potential of producing feedstocks for bioenergy on wet marginal land; however, more research on tissue and soil nutrient dynamics under different N rates and harvest regimes will be important in understanding stand longevity for feedstocks grown under these conditions.

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“…By 1985 on the nature axis, Tennessee, the last of the study states with considerable cropland pasture, surpasses Alabama converting to commodity annuals, catching up to Texas and Oklahoma. By 2000, we see intimations of what would be, outside specific counties (Baxter and Colvert 2017), the effective end of cropland pasture by 2015, for which the TPS would compress to a near vertical line. Along the industry axis in the bottom TPS, the relative positions across the states appear largely maintained even in and out of the spike in industry alienation of the 1980s crisis, although there is some spread for 1985.…”

Section: Resultsmentioning

confidence: 91%

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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Estimating Available Abandoned Cropland in the United States: Possibilities for Energy Crop Production

Cited by 17 publications

References 37 publications

A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

Impact of warm‐season grass management on feedstock production on marginal farmland in Central Illinois

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

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