Pastick, Neal2018-09-212018-09-212018-06https://hdl.handle.net/11299/200279University of Minnesota Ph.D. dissertation.June 2018. Major: Natural Resources Science and Management. Advisor: Joseph Knight. 1 computer file (PDF); xiii, 161 pages.Arctic and boreal regions have experienced unprecedented changes in recent decades as the result of climate change. Increasing air temperatures have led to widespread warming and degradation of permafrost, significant shifts in vegetation composition and productivity, and increases in disturbance frequency and extent that can have profound impacts on ecosystems and human populations across the globe. Despite a legacy of studies describing the heightened sensitivity of arctic and boreal ecosystems to change, there has not been a comprehensive assessment of historical and projected trends in landscape properties, disturbances, and drivers of change throughout all of Alaska. Such an assessment is immensely challenging because of spatially-heterogeneous dynamics and interactions among numerous factors that influence ecosystems throughout the State. Consequently, additional research is needed to better characterize permafrost-affected landscapes and their potential response to further perturbations. This dissertation presents important improvements in the mechanistic understanding and characterization capabilities of changing permafrost landscapes by combining field measurements, time series analyses, climate reanalysis data, and remote sensing into an integrated modeling framework. The primary goal is to improve understanding of how and why globally significant permafrost landscapes are changing by means of: (1) Characterizing climate, permafrost, disturbance, and vegetation dynamics that exert strong controls on energy, water, and biogeochemical cycling; (2) Quantifying underlying drivers of change related to contemporary trends in land and water surfaces observed by remote sensing; and; (3) Providing novel approaches and baseline information to fill critical observational gaps identified by the remote sensing community and permafrost and ecosystem scientists. This research supports the science priorities of federal agencies (e.g. United States Geological Survey, National Aeronautics and Space Administration) and techniques and results are highly relevant to climatic, hydrologic, ecologic, topographic, and cryospheric studies. This research provides critically needed information on the temporal and regional distribution of landscape properties and conditions, which is instrumental in determining the vulnerability and resilience of northern high-latitudes regions to climate and disturbance-induced change, and benefits both the research community and the policy community in the management of Arctic and boreal landscapes.enArcticBorealData miningPermafrostRemote SensingTime series analysisThesis or Dissertation