Browsing by Subject "land use"
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Item Item Application of ERTS-1 Imagery to Statewide Land Information System in Minnesota.(Center for Urban and Regional Affairs, University of Minnesota; and Minnesota State Planning Agency., 1975) Sizer, Joseph E. et al.Item Available Wetlands for Bioenergy Purposes - Land Use and Drainage Constraints(Center for Urban and Regional Affairs, University of Minnesota, and Minnesota Energy Agency, 1981) CURAItem Barge Channel Road Industrial Area: Redevelopment for a Sustainable Community.(1998) Jacobson, ChristinaItem Big Stone County Draft Comprehensive Plan.(2002) Glieden, LynnaeItem Building Permits Monitor Development and Land Use Change in Wright County.(Center for Urban and Regional Affairs, University of Minnesota, 1979) Craig, William J.Item Choices for the Future of the Hiawatha Valley.(2006) Scherer, Troy; Hiawatha Valley PartnershipItem City of Henderson: Land Use Alternatives.(1991) Gerlach, Robert et al.Item Coastal Area Impervious Surface Assessment.(Duluth, MN: Center for Community and Regional Research, University of Minnesota at Duluth., 2005) Stark, Stacey L; Schomberg, JesseItem Comparative Analysis of the Land Use Laws of Minnesota and Selected Other States.(Center for Urban and Regional Affairs, University of Minnesota., 1975) Hoeft, John; Borchers, WilliamItem A comparison of honey bee-collected pollen from working agricultural lands using light microscopy and ITS metabarcoding(Oxford, 2017) Smart, M. D.; Cornman, R. S.; Iwanowicz, D. D.; McDermott-Kubeczko, M.; Pettis, J. S.; Spivak, M. S.; Otto, C.R.V.Taxonomic identification of pollen has historically been accomplished via light microscopy but requires specialized knowledge and reference collections, particularly when identification to lower taxonomic levels is necessary. Recently, next-generation sequencing technology has been used as a cost-effective alternative for identifying beecollected pollen; however, this novel approach has not been tested on a spatially or temporally robust number of pollen samples. Here, we compare pollen identification results derived from light microscopy and DNA sequencing techniques with samples collected from honey bee colonies embedded within a gradient of intensive agricultural landscapes in the Northern Great Plains throughout the 2010–2011 growing seasons. We demonstrate that at all taxonomic levels, DNA sequencing was able to discern a greater number of taxa, and was particularly useful for the identification of infrequently detected species. Importantly, substantial phenological overlap did occur for commonly detected taxa using either technique, suggesting that DNA sequencing is an appropriate, and enhancing, substitutive technique for accurately capturing the breadth of bee-collected species of pollen present across agricultural landscapes. We also show that honey bees located in high and low intensity agricultural settings forage on dissimilar plants, though with overlap of the most abundantly collected pollen taxa. We highlight practical applications of utilizing sequencing technology, including addressing ecological issues surrounding land use, climate change, importance of taxa relative to abundance, and evaluating the impact of conservation program habitat enhancement efforts.Item Comprehensive Parking Study of University and Raymond Avenues, St. Paul.(1998) Olson, Jessica A.Item Computer Applications in Land Use Mapping and the Minnesota Land Management Information System.(Center for Urban and Regional Affairs, and Department of Geography, University of Minnesota., 1973) Hsu, Mei Ling et al.Item County forestry activities: a survey of programs in selected states(University of Minnesota, 1980-04) Baughman, Melvin J.; Ellefson, Paul V.Item Data in support of: Quantifying resilience of coldwater habitat to climate and land use change to prioritize watershed conservation(2021-08-06) Hansen, Gretchen JA; Wehrly, Kevin E; Vitense, Kelsey; Walsh, Jacob R; Jacobson, Peter C; ghansen@umn.edu; Hansen, Gretchen; University of Minnesota Department of Fisheries, Wildlife, Conservation Biology; Minnesota Department of Natural Resources; Michigan Department of Natural ResourcesData for 12,450 lakes in the Upper Midwestern United States used to predict coldwater, oxygenated habitat and how it is predicted to change under scenarios of climate and land use change. Specific fields include lake size, depth, watershed landuse, air temperature characteristics, and presence of the coldwater fish Cisco (Coregonus artedi). Also included are projected air temperatures under mid-Century conditions for each lake.Item Dialectic(2018) Geenen, BrooksHabitat loss due to land use is the single greatest threat to biodiversity, and virtually all of earth’s ecosystems have now been dramatically transformed through human actions. More land was converted to cropland in the thirty years after 1950 than in the 150 years between 1700 and 1850. A 2013 estimate illustrated that humans are currently using 34% of the global land area for their agricultural needs, and human appropriated land use has converted over 60% of temperate forests. Through this work, I will be examining the conversation between humans and our impact on the natural world with a specific concentration on the habitat loss of birds. Using photography I will visually examine and illustrate our relationship with the natural world; how humans appropriation of land and resources is leading to the habitat loss of many bird species. This research is about questioning and examining, it is not to denounce the human race, but serves to photographically represent the key issues of habitat loss and how we can change.Item Duluth Open Space Initiative Organizational Goals and Action Steps(2006) Schommer, JeffItem ERTS-1 Applications to Minnesota Land Use Mapping. Report No. 3.(Center for Urban and Regional Affairs, University of Minnesota and Minnesota State Planning Agency., 1973) Brown, Dwight et al.