Monitoring
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Rangelands comprise a large component of the terrestrial land surface and provide critical ecosystem services, but they are degrading rapidly. Long-term rangeland monitoring with detailed, nonsubjective, quantitative observations can be expensive and difficult to maintain over time. Unmanned aerial vehicles (UAVs) provide an alternative means to gather unbiased and consistent datasets with similar details to field-based monitoring data. Comparing summer 2017 UAV images with long-term plot measurements, we demonstrate that rangeland vegetation cover changes can be accurately quantified and estimate an increase in total absolute shrub/subshrub cover from 34% in 1935 to N 80% in 2017 in central Arizona.We recommend UAV image-based rangeland monitoring for land managers interested in a few specific and dominant species, such as the foundation species, indicator species, or invasive species that require targeted monitoring. Land managers can identify and continuously monitor trends in rangeland condition, health, and degradation related to specific land use policies and management strategies.
Poor air quality arising from prescribed and wildfire smoke emissions poses threats to human health and therefore must be taken into account for the planning and implementation of prescribed burns for reducing contemporary fuel loading and other management goals. To better understand how smoke properties vary as a function of fuel beds and environmental conditions, we developed and tested a compact portable instrument package that integrates direct air sampling with air quality and meteorology sensing, suitable for in situ data collection within burn units and as a payload on multi-rotor small unmanned aircraft systems (sUASs). This study presents and discusses design specifications for the system and preliminary data collected in controlled burns at Tall Timbers Research Station, FL, USA and Sycan Marsh Preserve, OR, USA.
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The Art of Range podcast provides education through conversation with some of the brightest minds in rangeland management. We interview researchers, ranchers, and resource professionals to bring you extended discussion on topics that are of interest to all. A new episode will be released every two weeks, with several episodes on a general topic area. This podcasting project is funded by a grant from the Western Center for Risk Management and has specific learning objectives which will drive the topics list.
If you are a Certified Professional in Range Management through the SRM, you may claim continuing education units for these episodes (.5 or 1 CEU per episode) by following the instructions at the conclusion of the survey.
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Join this webinar and robust discussion about innovative collaborations and case studies developed through a partnership between Trout Unlimited and the Forest Service. We will share examples of successful projects, tools such as partnership agreements, and how this model of volunteer monitoring can be expanded across other resource areas and throughout the nation to connect communities to their public lands and waters.
Projects and tools include:
- Stream Restoration Collaboration
- Angler Science
- Trout Unlimited’s Citizen Science Framework
- TU and USFS Master Agreement
- Forest Service Citizen Science Toolkit and Fund
With remarks from Trout Unlimited and Forest Service leadership:
Keith Curley, Vice President for Eastern Conservation, Trout Unlimited
Chris French, Deputy Chief for National Forest System, USDA Forest Service
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ALERTWildfire is a consortium of three universities — The University of Nevada, Reno (UNR), University of California San Diego (UCSD), and the University of Oregon (UO) — providing access to state-of-the-art Pan-Tilt-Zoom (PTZ) fire cameras and associated tools to help firefighters and first responders: (1) discover/locate/confirm fire ignition, (2) quickly scale fire resources up or down appropriately, (3) monitor fire behavior through containment, (4) during firestorms, help evacuations through enhanced situational awareness, and (5) ensure contained fires are monitored appropriately through their demise.
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Long-term vegetation dynamics across public rangelands in the western United States are not well understood because of the lack of large-scale, readily available historic datasets. The Bureau of Land Management’s Soil-Vegetation Inventory Method (SVIM) program was implemented between 1977 and 1983 across 14 western states, but the data have not been easily accessible. This guide introduces the SVIM vegetation cover dataset in a georeferenced, digital format; summarizes how the data were collected; and discuss potential limitations and biases. It demonstrates how SVIM data can be compared with contemporary monitoring datasets to quantify changes in vegetation associated with wildfire and the abundance of exotic invasive species. Specifically, it compares SVIM vegetation cover data with cover data collected by BLM’s Assessment, Inventory, and Monitoring (AIM) program (2011–2016) in a focal area in the northern Great Basin. Comparisons between historic SVIM data and recent AIM data documented significant declines in the occupancy and cover of native shrubs and native perennial forbs, and a significant increase in exotic annual forbs. Our study demonstrates that SVIM data will be an important resource for researchers interested in quantifying vegetation change through time across public rangelands in the western United States.
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The Nevada Rangeland Monitoring Handbook has been designed to provide a clear overview of the complex and often confusing world of rangeland monitoring. Included are a suite of short- and long-term monitoring methods.
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New 10-m datasets add increased functionality and accuracy to the RAP.
The Rangeland Analysis Platform (RAP) is an innovative online mapping tool that can be used by anyone—no fees or registration required. The tool provides quick snapshots of rangeland vegetation. It allows users to easily compare trends in rangeland resources through time at a ranch, county, or watershed scale.
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The Rangeland Analysis Platform (RAP) is a free, online tool that helps landowners and natural resource managers track vegetation through time and plan actions to improve America’s grazing lands. The RAP can be used to provide strategies to improve productivity of grazing lands, manage weeds, mitigate impacts of wildfire and drought, and benefit wildlife habitats. Powered by Google Earth Engine, RAP merges machine learning and cloud-based computing with remote sensing and field data to provide the first-ever annual cover maps of rangeland vegetation. This new platform allows people to view trends in rangeland resources at an unprecedented blend of space (from the Great Plains to the Pacific Ocean), time (1984 to present), and scale (at the ranch, watershed, or county level). Designed to be combined with local knowledge, the RAP helps users better understand vegetation change through time to aid in conservation planning and outcome evaluation. This webinar will describe the innovative breakthrough in mapping vegetation cover and demonstrate RAP applications.
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State-of-the-art mountaintop cameras from the University of Nevada, Reno, a new and expanding tool for fire mangers who oversee the wildland and wildland/urban interface, spotted or tracked 240 fires in Nevada and California in 2017, helping to keep firefighters more situationally aware and able to mount appropriate responses more rapidly over tens of thousands of square miles of forests and rangelands, including rural communities.