Studies on factors affecting the evolution of agroecosystems in the Dakotas

dc.contributor.advisor David A. Hennessy
dc.contributor.advisor Peter T. Wolter
dc.contributor.author Arora, Gaurav
dc.contributor.department Department of Economics (LAS)
dc.date 2018-08-12T02:07:22.000
dc.date.accessioned 2020-06-30T03:02:33Z
dc.date.available 2020-06-30T03:02:33Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.embargo 2001-01-01
dc.date.issued 2017-01-01
dc.description.abstract <p>This dissertation combines remote sensing and applied economics tools to study land use conversions in North Dakota and South Dakota that are tied to this region’s overall socio-economic welfare. Specifically, the region’s corn and soybeans cultivation expanded significantly over the past decade replacing the region’s grasslands and grain crops. In paper I, we estimate the localized impacts of the advent of corn-based ethanol plants on the Dakotas’ corn acreage. We implement a Difference-in-Difference framework through more flexible assumptions as the Parallel Paths assumption of the standard model fails to hold. We find strong trends in the Dakotas’ corn acreage over the past decade, but surprisingly some ethanol plants were found to have a negative impact on local corn acreage. In paper II, we evaluate crop competitiveness due to heterogeneous weather impacts on crop yields, and then test whether annual weather fluctuations explain land allocations among the Dakotas’ major land uses. Our integrated framework suggests that annual weather variability is an important determinant of regional land use decisions. Under the A1B emissions scenario of climate change, we find that the yields of all of the Dakotas’ major crops will decline by 2031-2060 relative to 1981-2010, leading to lower (higher) spring wheat (alfalfa) acres in Eastern (Western) Dakotas. In paper III, we develop and implement a satellite image-processing algorithm to estimate historical land use acres using raw Landsat sensor data, thereby extending the existing Cropland Data Layers back to 1984 in eastern Dakotas. We demonstrate that the availability of a longer time-series is useful as the rate of land use change may differ among different time-spans. In paper IV, we evaluate the cost-effectiveness of grassland conservation easements when spatial spillovers are present among private landowners. We first develop a conceptual model to incorporate social spillovers in evaluating the role of easements in inhibiting grassland conversions. We empirically test whether social spillovers are present by estimating hazard rates of conversion as a function of neighborhood density of grasslands and easements. Our findings suggest that easements are strategic complements to existing grasslands in preventing grassland conversions in the Dakotas.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/15251/
dc.identifier.articleid 6258
dc.identifier.contextkey 11050896
dc.identifier.doi https://doi.org/10.31274/etd-180810-4879
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/15251
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/29434
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/15251/Arora_iastate_0097E_16262.pdf|||Fri Jan 14 20:38:14 UTC 2022
dc.subject.disciplines Agricultural and Resource Economics
dc.subject.disciplines Agricultural Economics
dc.subject.disciplines Economics
dc.subject.disciplines Remote Sensing
dc.subject.keywords Biofuels Policy
dc.subject.keywords Climate Change
dc.subject.keywords Grassland Conservation Easements
dc.subject.keywords Grassland Conversions
dc.subject.keywords Land Use Change
dc.subject.keywords Satellite image Processing
dc.title Studies on factors affecting the evolution of agroecosystems in the Dakotas
dc.type dissertation
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 4c5aa914-a84a-4951-ab5f-3f60f4b65b3d
thesis.degree.discipline Economics
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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