A5062330442- Rangeland and Wildlife Management
- Fire effects on ecosystems
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Remote Sensing in Agriculture
- Wildlife Ecology and Conservation
- Forest ecology and management
- Climate change impacts on agriculture
- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
- Plant Ecology and Soil Science
- Climate Change Communication and Perception
- Forest Management and Policy
- Pasture and Agricultural Systems
- Environmental Education and Sustainability
- Animal and Plant Science Education
- Ruminant Nutrition and Digestive Physiology
- Experimental and Theoretical Physics Studies
- Sustainability and Climate Change Governance
- Forest Insect Ecology and Management
- Rangeland Management and Livestock Ecology
- Diverse Educational Innovations Studies
- Computational Physics and Python Applications
- Plant Water Relations and Carbon Dynamics
University of Idaho
2015-2023
Abstract Operational satellite remote sensing products are transforming rangeland management and science. Advancements in computation, data storage processing have removed barriers that previously blocked or hindered the development use of products. When combined with local knowledge, can inform decision‐making at multiple scales. We used temporal convolutional networks to produce a fractional cover product spans western United States rangelands. trained model 52,012 on‐the‐ground vegetation...
Rangelands are critical working landscapes and the focus of considerable conservation planning efforts globally. A key challenge in these is that high interannual variability both climatic conditions land use greatly limits utility outdated or static vegetation maps for management decision-making. One potential solution to this problem lies remote sensing-derived information; however, prospective users must have continuous timely access products tailored their needs. Google Earth Engine...
A changing climate is altering ecosystem carbon dynamics with consequences for natural systems and human economies, but there are few tools available land managers to meaningfully incorporate trajectories into planning efforts. To address uncertainties wrought by rapidly conditions, many practitioners adopt resistance resilience as management goals, these concepts have proven difficult monitor across landscapes. Here, we the growing need understand plan of resilience. Using time series...
ABSTRACTGrassland systems provide important habitat for native biodiversity and forage livestock, with livestock grazing playing an role influencing sustainable ecosystem function. Traditional field techniques to monitor the effects of on vegetation are costly limited small spatial scales. Remote sensing has potential quantitative repeatable monitoring data across large temporal scales more informed management. To investigate ability metrics derived from remotely sensed imagery detect effect...
Quantifying rangeland vegetation amounts with remotely sensed satellite data is a proliferating field of study. Yet the resulting datasets are rarely related to use-based monitoring indicators (i.e., utilization or residual biomass), which critical for adaptive management and inform subsequent year's grazing plans. To better assess our ability use products management, we tested relationships between variety biomass metrics derived from on bunchgrass-dominated grassland in northeast Oregon...
Abstract Climate change is well documented at the global scale, but local and regional changes are not as understood. Finer, local- to regional-scale information needed for creating specific, place-based planning adaption efforts. Here development of an indicator-focused climate assessment in Idaho described. This interdisciplinary framework couples end users’ data needs with observed, biophysical scales. An online statewide survey natural resource professionals was conducted assess...
Abstract Operational satellite remote sensing products are transforming rangeland management and science. Advancements in computation, data storage, processing have removed barriers that previously blocked or hindered the development use of products. When combined with local knowledge, can inform decision making at multiple scales. We used temporal convolutional networks to produce a fractional cover product spans western United States rangelands. trained model 52,012 on-the-ground...
Collection, interpretation, and application of use-based monitoring data across large landscapes is challenging given the inherent variability in growing conditions field-based estimates. We present several approaches on leveraging geospatial technology to cope with this including weather climate data, satellite remote-sensing associated tools, as well livestock GPS collars. Field-based estimates also can be improved more careful consideration field methods observer training calibration....
The 2020 SRM Annual Meeting piloted “Campfire Conversation,” round-table discussions styled after the World Café approach. event attracted 280 attendees and enabled multidirectional knowledge exchange (i.e., “cuss discuss”), rather than one-way “chalk-and-talk.” Attendees participated in three 20-minute facilitated around topics they selected from a menu of 13 timely rangeland issues. Change was common theme for many Campfire Conversations, including social, climatic, ecological, management,...