2019
DOI: 10.1088/1748-9326/ab0399
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Carbon emissions from cropland expansion in the United States

Abstract: After decades of decline, croplands are once again expanding across the United States. A recent spatially explicit analysis mapped nearly three million hectares of US cropland expansion that occurred between 2008 and 2012. Land use change (LUC) of this sort can be a major source of anthropogenic carbon (C) emissions, though the effects of this change have yet to be analyzed. We developed a data-driven model that combines these high-resolution maps of cropland expansion with published maps of biomass and soil o… Show more

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Cited by 47 publications
(26 citation statements)
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References 70 publications
(103 reference statements)
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“…While the relation between stock and emissions potential can approach one-to-one for biomass carbon stocks where land-use changes result in the loss of nearly all carbon stocks, the relationship is more nuanced for soil organic carbon stocks. The response of soil carbon stocks to land-use change varies with soil type, climate, depth and subsequent land use among other factors [79][80][81][82] and cannot accurately be inferred simply from the size of the existing stock. Given the uncertain future of a given piece of land, our map is agnostic to the vulnerability of soil organic carbon and thus represents a grid cell's absolute maximum potential emission.…”
Section: Discussionmentioning
confidence: 99%
“…While the relation between stock and emissions potential can approach one-to-one for biomass carbon stocks where land-use changes result in the loss of nearly all carbon stocks, the relationship is more nuanced for soil organic carbon stocks. The response of soil carbon stocks to land-use change varies with soil type, climate, depth and subsequent land use among other factors [79][80][81][82] and cannot accurately be inferred simply from the size of the existing stock. Given the uncertain future of a given piece of land, our map is agnostic to the vulnerability of soil organic carbon and thus represents a grid cell's absolute maximum potential emission.…”
Section: Discussionmentioning
confidence: 99%
“…Mean above-ground biomass carbon stocks (AGBC) were calculated from an AGBC map [43]. Below-ground biomass carbon stocks (BGBC) were derived from a matching map of below-ground BGBC that we created using a regression model [44] that predicts BGBC based on covariance with mean annual temperature (MAT), tree phylogeny (angiosperms or gymnosperms), and the history of forest management, as used and described in Spawn et al [45]. Spatial estimates of MAT (1970MAT ( -2000 were taken from the WorldClimV2 data set [46], and management history was inferred from our synthetic land cover map.…”
Section: Carbon Emissionsmentioning
confidence: 99%
“…Committed emissions from SOC stocks to a depth of 30 cm were mapped by spatially applying expected SOC stock change estimates to SOC maps from the SoilGrids250v2 dataset [47] following the general approach of Spawn et al [45]. Mean stock change estimates represent the fraction of the initial SOC stock that is lost upon conversion to cropland and were taken from Don et al [48].…”
Section: Carbon Emissionsmentioning
confidence: 99%
“…Clearing, tilling and draining these lands for food production directly intensified global climate change through releasing large amount of CO 2 into the atmosphere (Lal et al 1999). Large C loss under agricultural activities has been well-documented in both observational evidence from long-term monitoring experiments (Huggins et al 1998, Matson et al 1997 and model simulations , Spawn et al 2019. In the US cropland, a total of approximate 5.0 Pg C (1 Pg=1000 Tg=10 15 g) was lost as a result of cultivation (Lal et al 1999, accounting for 12.3% of the C loss from global agricultural land since 1850 (Pugh et al 2015).…”
Section: Introductionmentioning
confidence: 99%