Open Access. Powered by Scholars. Published by Universities.®
Natural Resources Management and Policy Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Remote sensing (2)
- Barrens (1)
- ECOLOGICAL WATER STRESS (1)
- Ecology (1)
- Emerald ash borer (1)
-
- GEOSPATIAL MODELING (1)
- Habitat suitability (1)
- Hydrology (1)
- Image classification (1)
- Karner blue butterfly (1)
- Lycaeides melissa samuelis (1)
- Machine learning (1)
- NAIP (1)
- Natural community habitats (1)
- Predictive models (1)
- Savanna (1)
- UAV (1)
- Uncertainty (1)
- WATER STRESS (1)
- Wild blue lupine (1)
Articles 1 - 4 of 4
Full-Text Articles in Natural Resources Management and Policy
Fine Scale Mapping Of Laurentian Mixed Forest Natural Habitat Communities Using Multispectral Naip And Uav Datasets Combined With Machine Learning Methods, Parth P. Bhatt
Dissertations, Master's Theses and Master's Reports
Natural habitat communities are an important element of any forest ecosystem. Mapping and monitoring Laurentian Mixed Forest natural communities using high spatial resolution imagery is vital for management and conservation purposes. This study developed integrated spatial, spectral and Machine Learning (ML) approaches for mapping complex vegetation communities. The study utilized ultra-high and high spatial resolution National Agriculture Imagery Program (NAIP) and Unmanned Aerial Vehicle (UAV) datasets, and Digital Elevation Model (DEM). Complex natural vegetation community habitats in the Laurentian Mixed Forest of the Upper Midwest. A detailed workflow is presented to effectively process UAV imageries in a dense forest environment …
Regional Impacts Of Invasive Species And Climate Change On Black Ash Wetlands, Joseph Shannon
Regional Impacts Of Invasive Species And Climate Change On Black Ash Wetlands, Joseph Shannon
Dissertations, Master's Theses and Master's Reports
For more than a decade intensive research on the ecohydrology of black ash wetland ecosystems has been performed to understand these systems before they are drastically altered by the invasive species, emerald ash borer (EAB). In that time there has been little research aimed at the scale and persistence of the alterations. Three distinct but related research articles will be presented to demonstrate a method for moderate resolution mapping of black ash across its entire range, understand the relative impacts of EAB and climate change on probable future wetland conditions, and develop an experimental and modeling approach to quantify and …
Characterization Of Ecological Water Stress In The U.S. Great Lakes Region Using A Geospatial Modeling Approach, Sara Alian
Dissertations, Master's Theses and Master's Reports
Anthropocentric water resources management affects aquatic habitats by changing streamflow regime. Understanding the impacts of water withdrawal from different sources and consumption by various economic sectors at different spatial and temporal scales is key to characterizing ecologically harmful streamflow disturbances. To this end, we developed a generic, integrative framework to characterize catchment scale water stress at annual and monthly time scales. The framework accounts for spatially cumulative consumptive and non-consumptive use impacts and associated changes in flow due to depletion and return flow along the stream network. Application of the framework to the U.S. Great Lakes Region indicates that a …
Evaluating Karner Blue Butterfly (Lycaeides Melissa Samuelis Nabokov) Habitat Selection In The State Of Wisconsin, Usa, Anna Nahuel Hess
Evaluating Karner Blue Butterfly (Lycaeides Melissa Samuelis Nabokov) Habitat Selection In The State Of Wisconsin, Usa, Anna Nahuel Hess
Dissertations, Master's Theses and Master's Reports - Open
The federally endangered Karner blue butterfly (Lycaeides melissa samuelis Nabokov) persists in rare oak/pine grassland communities spanning across the Great Lakes region, relying on host plant wild blue lupine (Lupinus perennis). Conservation efforts since 1992 have led to the development of several programs that restore and monitor habitat. This study aims to evaluate Karner blue habitat selection in the state of Wisconsin and develop high-resolution tools for use in conservation efforts. Spatial predictive models developed during this study accurately predicted potential habitat across state properties based on soils and canopy cover, and identified ~51-100% of Karner blue occurrences based on …