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Forest Sciences Commons

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2016

Earth Sciences

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Articles 61 - 69 of 69

Full-Text Articles in Forest Sciences

Spatial Analysis Of Forest Crimes In Mark Twain National Forest, Missouri, Karun Pandit, Eddie Bevilacqua, Giorgos Mountrakis, Robert W. Malmsheimer Jan 2016

Spatial Analysis Of Forest Crimes In Mark Twain National Forest, Missouri, Karun Pandit, Eddie Bevilacqua, Giorgos Mountrakis, Robert W. Malmsheimer

Journal of Geospatial Applications in Natural Resources

Forest crime mitigation has been identified as a challenging issue in forest management in the United States. Knowledge of the spatial pattern of forest crimes would help in wisely allocating limited enforcement resources to curb forest crimes. This study explores the spatial pattern of three different types of forest crimes: fire crime, illegal timber logging crime, and occupancy use crime in the Salem-Patosi Ranger District of Mark Twain National Forest. Univariate and bivariate Ripley’s K-functions were applied to explore the spatial patterns in crime events, like clustering and attraction among forest crime types. Results reveal significant clustering for each forest …


Comparison Of Terrain Indices And Landform Classification Procedures In Low-Relief Agricultural Fields, Derek A. Evans, Karl W. J. Williard, Jon E. Schoonover Jan 2016

Comparison Of Terrain Indices And Landform Classification Procedures In Low-Relief Agricultural Fields, Derek A. Evans, Karl W. J. Williard, Jon E. Schoonover

Journal of Geospatial Applications in Natural Resources

Landforms control the spatial distribution of numerous factors associated with agronomy and water quality. Although curvature and slope are the fundamental surface derivatives used in landform classification procedures, methodologies for landform classifications have been performed with other terrain indices including the topographic position index (TPI) and the convergence index (CI). The objectives of this study are to compare plan curvature, the convergence index, profile curvature, and the topographic position index at various scales to determine which better identifies the spatial variability of soil phosphorus (P) within three low relief agricultural fields in central Illinois and to compare how two methods …


Discordant Data And Interpretation Of Results From Wildlife Habitat Models, Anita T. Morzillo, Michael G. Wing, Justin Long Jan 2016

Discordant Data And Interpretation Of Results From Wildlife Habitat Models, Anita T. Morzillo, Michael G. Wing, Justin Long

Journal of Geospatial Applications in Natural Resources

Wildlife habitat management is an important part of natural resource management. As a result, there are a large number of models and tools for wildlife habitat assessment. A consequence of the many assessment tools is inconsistency when comparing results between tools, which may lead to potential confusion management decisions. Our objective was to compare results from two wildlife habitat models – one being relatively coarse (HUC5) scale and not spatially dynamic and the other being finer scale spatial data based on a 30 m spatial resolution –for habitat assessment of three species across the West Cascades of Oregon: Northern spotted …


Expansion Of The Manage Database With Forest And Drainage Studies, Daren R. Harmel, Laura E. Christianson, Matthew W. Mcbroom, Douglas R. Smith, Kori D. Higgs Jan 2016

Expansion Of The Manage Database With Forest And Drainage Studies, Daren R. Harmel, Laura E. Christianson, Matthew W. Mcbroom, Douglas R. Smith, Kori D. Higgs

Faculty Publications

The “Measured Annual Nutrient loads from AGricultural Environments” (MANAGE) database was published in 2006 to expand an early 1980s compilation of nutrient export (load) data from cultivated and pasture/range land at the field or farm scale. Then in 2008, MANAGE was updated with 15 additional studies, and nitrogen (N) and phosphorus (P) concentrations in runoff were added. Since then, MANAGE has undergone significant expansion adding N and P water quality along with relevant management and site characteristic data from: (1) 30 runoff studies from forested land uses, (2) 91 drainage water quality studies from drained land, and (3) 12 additional …


Soil Organic Matter Distribution In A Douglas-Fir-Tanoak Forest, Humboldt County, California, Hollie A. Ernest Jan 2016

Soil Organic Matter Distribution In A Douglas-Fir-Tanoak Forest, Humboldt County, California, Hollie A. Ernest

Cal Poly Humboldt theses and projects

Soil carbon (C) affects the active gases in the atmosphere, nutrient cycling, and diversity of flora and fauna. Soil organic matter (SOM) is partially comprised of C, and a widely-accepted ratio of 0.58 organic carbon (OC) to organic matter (OM) is used to measure soil C on a landscape scale. However, this ratio varies according to vegetation, depth, hydrology, and may lead to miscalculations of soil C and SOM estimates. Soil C and SOM are inherently complex and it is not completely understood which environmental factors have the most influence in their formation, which occurs on a time scale of …


Mcicsl Newsletter - January 2016, Shannon R. Trimboli Education Coordinator Jan 2016

Mcicsl Newsletter - January 2016, Shannon R. Trimboli Education Coordinator

MCICSL Newsletter

This issue includes the following:

Information about the upcoming 11th Research Symposium

New Stonefly species

Winter Bat Monitoring

as well as research highlights and education highlights


Effects Of Wildfire And Post-Fire Salvage Logging On Rill Networks And Sediment Delivery In California Forests, Will Olsen Jan 2016

Effects Of Wildfire And Post-Fire Salvage Logging On Rill Networks And Sediment Delivery In California Forests, Will Olsen

Dissertations, Master's Theses and Master's Reports

Wildfires can increase soil erosion by orders of magnitude over rates in unburned forests and negatively impact aquatic resources. Rill erosion is a dominant erosion and sediment transport mechanism in burned forests, and hydrologically connected rills can form networks on burned hillslopes. At the swale scale (< 10,000 m2), little is known about how rill networks develop under different burn severities over time, their relationship with sediment yields, and the effect of post-fire salvage logging on rill networks and sediment yields.

The first study assessed rill networks and sediment yields in three burn severities in the inland Coast Range of …


The Changes In Woodlot Land Cover From 1988 To 2006 Within Private/Farmland In Hancock County, Ohio, Louis C. Birchall Jan 2016

The Changes In Woodlot Land Cover From 1988 To 2006 Within Private/Farmland In Hancock County, Ohio, Louis C. Birchall

Williams Honors College, Honors Research Projects

The amount of woodlots in Ohio have dramatically decreased since the introduction of settlers into the State. The removal of forest for open space, urban areas, fuel and resources was key to this change. Since the development of the economy to a more service based industry in recent years, woodlots have begun to return in certain areas. This research shows the change in woodlot patterns in Hancock County, Ohio from 1988 to 2006.

The analysis was done by classifying the data into 'woodlot' and 'other land use' by using image segmentation and manual editing processes. Accuracy checks were conducted on …


Synthesis Of Satellite Microwave Observations For Monitoring Global Land-Atmosphere Co2 Exchange, Lucas Alan Jones Jan 2016

Synthesis Of Satellite Microwave Observations For Monitoring Global Land-Atmosphere Co2 Exchange, Lucas Alan Jones

Graduate Student Theses, Dissertations, & Professional Papers

This dissertation describes the estimation, error quantification, and incorporation of land surface information from microwave satellite remote sensing for modeling global ecosystem land-atmosphere net CO2 exchange. Retrieval algorithms were developed for estimating soil moisture, surface water, surface temperature, and vegetation phenology from microwave imagery timeseries. Soil moisture retrievals were merged with model-based soil moisture estimates and incorporated into a light-use efficiency model for vegetation productivity coupled to a soil decomposition model. Results, including state and uncertainty estimates, were evaluated with a global eddy covariance flux tower network and other independent global model- and remote-sensing based products.