Global ETD Search

Influences on Off-Highway Vehicle (OHV) Recreation Use Patterns within a Complex Trail System in Southwest Idaho

Frey, Eric Charles

boise Repository record for Influences on Off-Highway Vehicle (OHV) Recreation Use Patterns within a Complex Trail System in Southwest Idaho (opens in a new tab)

Participation and Perception: Early Exposure, Environmental Attitudes, and Off-Highway Vehicle (OHV) Recreation in the Boise Metropolitan Area

Kinney, Michelle Lee

boise Repository record for Participation and Perception: Early Exposure, Environmental Attitudes, and Off-Highway Vehicle (OHV) Recreation in the Boise Metropolitan Area (opens in a new tab)

Recreational trail impacts on the plant communities of Castle and Castle Wildland Provincial Parks in southern Alberta

Chisholm, Trinitas, University of Lethbridge. Faculty of Arts and ScienceLethbridge, Alta. : University of Lethbridge, Dept. of Biological Sciences2022

… species. These effects extended farther from off-highway vehicle (OHV) trails than from footpaths, but only in mixed/broadleaf and shrubland vegetation. The SDM was not a strong predictor of Botrychium presence, but I found Botrychium in 29% of surveyed sites. To minimize trail effects such as …

lethbridge Repository record for Recreational trail impacts on the plant communities of Castle and Castle Wildland Provincial Parks in southern Alberta (opens in a new tab)

Conservation Genetics of Narrowly Distributed Annual, <em>Erythranthe discolor </em>(Phrymaceae), in the Southern Sierra Nevada

Vengco, Selena2026

… has a varied land use history which includes off-highway vehicle (OHV) use, mining, logging, and residential development which has facilitated a network of roads and created opportunities for non-native plant invasion. These factors can alter the delicate habitat needed for E. discolor to …

claremont Repository record for Conservation Genetics of Narrowly Distributed Annual, <em>Erythranthe discolor </em>(Phrymaceae), in the Southern Sierra Nevada (opens in a new tab)

Advancing UAV-Based Remote Sensing and Machine Learning for Ecological Monitoring, Habitat Disturbance Detection, and Forensic Science in Arid Landscapes

Best, Jeffery2025

The advances in unmanned aerial vehicle (UAV) technologies have the potential to revolutionize remote sensing. By integrating high-resolution low-altitude remote sensing data captured via UAVs with sophisticated machine learning algorithms, researchers can now analyze habitat disturbances, …

unr Repository record for Advancing UAV-Based Remote Sensing and Machine Learning for Ecological Monitoring, Habitat Disturbance Detection, and Forensic Science in Arid Landscapes (opens in a new tab)