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Articles 1 - 7 of 7
Full-Text Articles in Forest Sciences
Smokejumper Obituary: Cummings#1, Harry Lee (Missoula 1946), National Smokejumper Association
Smokejumper Obituary: Cummings#1, Harry Lee (Missoula 1946), National Smokejumper Association
Smokejumper Obituaries
No abstract provided.
Soil Chemistry And Enzyme Data Examining Impacts Of Callery Pear Stem Cutting, Michaela J. Woods, Grace K. Attea, Ryan W. Mcewan
Soil Chemistry And Enzyme Data Examining Impacts Of Callery Pear Stem Cutting, Michaela J. Woods, Grace K. Attea, Ryan W. Mcewan
Five Rivers MetroParks Collaboration Data Archive
This dataset encompasses information following the collection of soil from underneath cut and treated Callery pear stems and untreated Callery pear trees. Soil was assessed for moisture, pH, and enzyme activities.
Seed Size And Germination, Meredith Cobb, Michaela J. Woods, Ryan W. Mcewan
Seed Size And Germination, Meredith Cobb, Michaela J. Woods, Ryan W. Mcewan
Five Rivers MetroParks Collaboration Data Archive
This dataset encompasses information related to predictors of seed germination from the species Carya laciniosa, Juglans cinerea, and Quercus rubra. Seed sizes were recorded prior to incubation in sand, vermiculite, or without media. Seeds were then germinated with time to germination recorded in this dataset.
End-Grain Of 10 North American Hardwoods, Lopes Dercilio Verly Junior, Greg W. Burgreen, Edward D. Entsminger
End-Grain Of 10 North American Hardwoods, Lopes Dercilio Verly Junior, Greg W. Burgreen, Edward D. Entsminger
College of Forest Resources Publications and Scholarship
This technical note determines the feasibility of using an InceptionV4_ResNetV2 convolutional neural network (CNN) to correctly identify hardwood species from macroscopic images. The method is composed of a commodity smartphone fitted with a 14× macro lens for photography. The end-grains of ten different North American hardwood species were photographed to create a dataset of 1709 images. The stratified 5-fold cross-validation machine-learning method was used, in which the number of testing samples varied from 341 to 342. Data augmentation was performed on-the-fly for each training set by rotating, zooming, and flipping images. It was found that the CNN could correctly identify …
Species Distribution Models To Inform At-Risk Species Status Assessments In The Southeastern Us, Carlos Ramirez-Reyes, Mona Nazeri, Garrett Street, Francisco Vilella, D. Todd Jones-Farrand, Kristine O. Evans
Species Distribution Models To Inform At-Risk Species Status Assessments In The Southeastern Us, Carlos Ramirez-Reyes, Mona Nazeri, Garrett Street, Francisco Vilella, D. Todd Jones-Farrand, Kristine O. Evans
College of Forest Resources Publications and Scholarship
The USFWS is working collaboratively with State Wildlife Agencies, Universities, Non-profits and others in the southeast to address the National Listing Workplan. The USFWS needs up-to-date information on current status and the likely impact of future changes to develop Species Status Assessments (SSAs), which help inform listing decisions. States, Universities and other partners are providing species expertise, location data, analytical support and logistical support (e.g. surveys). However, a significant knowledge gap remains in understanding potential species distributions, from which status surveys can be more strategically implemented. This project provides a bridge between species location information and the SSAs by developing …
Aquatic Habitat Changes Along The Arkansas River (Supporting Data And Code), Mike Rhodes, Jonathan Spurgeon, Wes Neal, Kristine Evans
Aquatic Habitat Changes Along The Arkansas River (Supporting Data And Code), Mike Rhodes, Jonathan Spurgeon, Wes Neal, Kristine Evans
College of Forest Resources Publications and Scholarship
The associated code and data are supporting information for an assessment of large-scale changes in aquatic habitats within the varying pools of the Arkansas River, Arkansas, USA following impoundment of the river as part of the McClellan–Kerr Arkansas River Navigation System. We used a combination of Landsat satellite data (30 m resolution) from 1984-2016 and the European Commission Joint Research Center’s (JRC) Global Surface Water dataset (GSW) to assess changes in water availability by aquatic habitat category and river pool in the Arkansas River system. Analysis was completed using Google Earth Engine, with code available in this repository. We also …
Aquatic Habitat Changes Along The Arkansas River (Supporting Data For Analysis), Jonathan Spurgeon, Mike Rhodes, Wes Neal, Kristine Evans
Aquatic Habitat Changes Along The Arkansas River (Supporting Data For Analysis), Jonathan Spurgeon, Mike Rhodes, Wes Neal, Kristine Evans
College of Forest Resources Publications and Scholarship
The associated code and data represent a second set of supporting information for an assessment of large-scale changes in aquatic habitats within the varying pools of the Arkansas River, Arkansas, USA following impoundment of the river as part of the McClellan–Kerr Arkansas River Navigation System. We used a combination of Landsat satellite data (30 m resolution) from 1984-2016 and the European Commission Joint Research Center’s (JRC) Global Surface Water dataset (GSW) to assess changes in water availability by aquatic habitat category and river pool in the Arkansas River system. Here we provide compiled .csv files of Arkansas River gauge data, …