Monitoring
National monitoring of forestlands and the processes causing canopy cover loss, be they abrupt or gradual, partial or stand clearing, temporary (disturbance) or persisting (deforestation), are necessary at fine scales to inform management, science and policy. This study utilizes the Landsat archive and an ensemble of disturbance algorithms to produce maps attributing event type and timing to > 258 million ha of contiguous Unites States forested ecosystems (1986-2010). Nationally, 75.95 million forest ha (759,531 km2) experienced change, with 80.6% attributed to removals, 12.4% to wildfire, 4.7% to stress and 2.2% to conversion. Between regions, the relative amounts and rates of removals, wildfire, stress and conversion varied substantially. The removal class had 82.3% (0.01 S.E.) user’s and 72.2% (0.02 S.E.) producer’s accuracy. A survey of available national attribution datasets, from the data user’s perspective, of scale, relevant processes and ecological depth suggests knowledge gaps remain.
In situ measurements of sagebrush have traditionally been expensive and time consuming. Currently, improvements in small Unmanned Aerial Systems (sUAS) technology can be used to quantify sagebrush morphology and community structure with high resolution imagery on western rangelands, especially in sensitive habitat of the Greater sage-grouse (Centrocercus urophasianus). The emergence of photogrammetry algorithms to generate 3D point clouds from true color imagery can potentially increase the efficiency and accuracy of measuring shrub height in sage-grouse habitat. Our objective was to determine optimal parameters for measuring sagebrush height including flight altitude, single- vs. double- pass, and continuous vs. pause features. We acquired imagery using a DJI Mavic Pro 2 multi-rotor Unmanned Aerial Vehicle (UAV) equipped with an RGB camera, flown at 30.5, 45, 75, and 120 m and implementing single-pass and double-pass methods, using continuous flight and paused flight for each photo method. We generated a Digital Surface Model (DSM) from which we derived plant height, and then performed an accuracy assessment using on the ground measurements taken at the time of flight. We found high correlation between field measured heights and estimated heights, with a mean difference of approximately 10 cm (SE = 0.4 cm) and little variability in accuracy between flights with different heights and other parameters after statistical correction using linear regression. We conclude that higher altitude flights using a single-pass method are optimal to measure sagebrush height due to lower requirements in data storage and processing time.
Webinar recording.
Description: The desert city of St. George, Utah is one of the fastest growing metropolitan areas in the country. Three federally listed endangered plant species that grow directly in the path of this juggernaut development are at extreme risk of further decline and possible extinction. With the help of drones, deep learning technology and innovative restoration methods, we are engaged in research and active management to give these unique and beautiful species a better chance at long-term survival.
Presenter: Susan E. Meyer
Webinar recording.
In this webinar, RMRS research ecologist Sean Healey will discuss improved techniques for mapping forest disturbance and recovery across the United States with remotely sensed data.
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In recent decades, many bumble bee species have declined due to changes in habitat, climate, and pressures from pathogens, pesticides, and introduced species. The western bumble bee (Bombus occidentalis), once common throughout western North America, is a species of concern and will be considered for listing by the U.S. Fish and Wildlife Service (USFWS) under the Endangered Species Act (ESA). We attempt to improve alignment of data collection and research with USFWS needs to consider redundancy, resiliency, and representation in the upcoming species status assessment. We reviewed existing data and literature on western bumble bee, highlighting information gaps and priority topics for research. Priorities include increased knowledge of trends, basic information on several life‐history stages, and improved understanding of the relative and interacting effects of stressors on population trends, especially the effects of pathogens, pesticides, climate change, and habitat loss. An understanding of how and where geographic range extent has changed for the two subspecies of western bumble bee is also needed.
Description: During this session, USDA Forest Service and collaborative members will explore lessons learned in the first 10 years of CFLRP monitoring – what worked well and what challenges we continue to encounter in the multi-party monitoring of ecological, social, and economic effects. Given those lessons, we will then discuss where we go from here.
Presenters: Tom DeMeo, Regional Ecologist, Pacific Northwest Region, USDA Forest Service; Jessica Robertson, Integrated Restoration Coordinator, USDA Forest Service; CFLRP project practitioners
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Easy-to-understand monitoring frameworks create a common baseline resource standard that can be easily understood and allow diverse stakeholders with different needs to work together to restore and protect Mediterranean-type ecosystems into the future. This research brief provides an example of conceptual modeling framework.
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RangeSAT uses satellite data to generate maps and graphs of vegetation across pastures, ranches, and allotments. Using the record of Landsat data going back to 1984, the interface lets users easily view maps of vegetation amounts across their ranch or management area, at a single point in time or averaged across a month or a season. Vegetation amounts can also be displayed as graphs, allowing users to compare current vegetation amounts to past time periods. Climate variables (precipitation, potential evapotranspiration) can also be viewed alongside graphs of vegetation throughout a growing season.
RangeSAT is an ongoing project being developed at the University of Idaho, in partnership with The Nature Conservancy, Oregon Ranchers, the Natural Resources Conservation Service (NRCS), and the Northwest Climate Hub.
Description: Fuelcasting is a new program that provides projections of expected fuel conditions this grazing season. It is an important component of the Rangeland Production Monitoring System. he 30-minute webinar provides an overview of the system, demonstrates how to download and use the data, and discusses the 2020 fuel outlook with a focus on hotspots.
Presenter: Matt Reeves, USFS RMRS scientist
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Since the mid-1800s pinyon-juniper (PJ) woodlands have been encroaching into sagebrush-steppe shrublands and grasslands such that they now comprise 40% of the total forest and woodland area of the Intermountain West of the United States. More recently, PJ ecosystems in select areas have experienced dramatic reductions in area and biomass due to extreme drought, wildfire, and management. Due to the vast area of PJ ecosystems, tracking these changes in woodland tree cover is essential for understanding their consequences for carbon accounting efforts, as well as ecosystem structure and functioning. Here we present a carbon monitoring, reporting, and verification (MRV) system for characterizing total aboveground biomass stocks and flux of PJ ecosystems across the Great Basin.