Research and Publications
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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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This paper (1) provides a review of conditions under which historic reference information is and is not required to meet management and policy objectives, (2) summarizes current approaches to defining the reference for land health and degradation assessments, and (3) presents a protocol, “Describing Indicators of Rangeland Health” (DIRH) for collecting and organizing data that can be used to define a historic reference. This protocol builds on the framework and indicators presented in the “Interpreting Indicators of Rangeland Health” (IIRH). IIRH uses a combination of scientific and local knowledge to generate soil- and climate-specific assessments of three attributes of land health. It is used in a number of countries. In the United States, data are aggregated over 30,000 locations to provide national assessments.
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In this study, we used longer-term data to evaluate the relationships among soil climate conditions, perennial herbaceous cover, and cheatgrass cover following fuel management treatments across the environmental gradients that characterize sagebrush ecosystems in the Great Basin. Both prescribed fire and mechanical treatments increased soil water availability on woodland sites and perennial herbaceous cover on some woodland and sagebrush sites. Prescribed fire also slightly increased soil temperatures and especially increased cheatgrass cover compared to no treatment and mechanical treatments on most sites. Non-metric dimensional scaling ordination and decision tree partition analysis indicated that sites with warmer late springs and warmer and wetter falls had higher cover of cheatgrass. Sites with wetter winters and early springs (March-April) had higher cover of perennial herbs. Our findings suggest that site resistance to cheatgrass after fire and fuel control treatments decreases with a warmer and drier climate. This emphasizes the need for management actions to maintain and enhance perennial herb cover, such as implementing appropriate grazing management, and revegetating sites that have low abundance of perennial herbs in conjunction with fuel control treatments.
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In sagebrush ecosystems invasion of annual exotics and expansion of pinyon and juniper are altering fire regimes and resulting in large-scale ecosystem transformations. Management treatments aim to increase resilience to disturbance and enhance resistance to invasive species by reducing woody fuels and increasing native perennial herbaceous species. This study used Sagebrush Steppe Treatment Evaluation Project data to test predictions on effects of fire vs. mechanical treatments on resilience and resistance for three site types. Warm (mesic) WY Shrub and WY PJ sites had lower resistance to annual exotics than cool (frigid to cool frigid) Mtn PJ sites. In WY shrub, fire and sagebrush mowing had similar effects on shrub cover and, thus, on perennial native herbaceous and exotic cover. In WY PJ and Mtn PJ, effects were greater for fire than cut-and-leave treatments and with high tree cover in general because most woody vegetation was removed increasing resources for other functional groups. In WY shrub, about 20% pretreatment perennial native herb cover was necessary to prevent increases in exotics after treatment. Cooler and moister WY PJ and especially Mtn PJ were more resistant to annual exotics, but perennial native herb cover was still required for site recovery. We use our results to develop state and transition models that illustrate how resilience and resistance influence vegetation dynamics and management options.
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On the Ground Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Widely available soil survey information can be harnessed to spatially depict and evaluate relative resilience and resistance from regional to site scales. New products and tools illustrate how managers can use soils data to inform rapid risk assessments, determine appropriate management strategies, and prioritize resources to maintain and restore functioning sagebrush ecosystems.
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This study developed range-wide population and habitat models for greater sage-grouse (Centrocercus urophasianus) that account for regional variation in habitat selection and relative densities of birds for use in conservation planning and risk assessments. The models demonstrate distinct clustering of relative abundance of sage-grouse populations across all management zones. On average approximately half of the breeding population is predicted to be within 10% of the occupied range. We also found 80% of sage-grouse populations were contained in 25 – 34% of the occupied range within each management zone. Range-wide population and habitat models account for regional variation in habitat selection and the relative densities of birds, thus they can serve as a consistent and common currency to assess how sage-grouse habitat and populations overlap with conservation actions or threats over the entire sage-grouse range.
Want to beef-up your library? You can request the following resources in hard copy from Génie (listed in order of most recent publication date). You can also add them to your electronic library, just follow the links for downloads.
Fire patterns in piñon and juniper land cover types in the Semiarid Western United States from 1984 through 2013, 2018. RMRS-GTR-372
Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 3. Site level restoration decisions, 2018. USGS Circular 1426
Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, 2017. RMRS-GTR-360
Pocket Guide to Sagebrush Birds, reprint, 2017. A partnership between Rocky Mountain Bird Observatory and PRBO Conservation Science
Pocket Guide to Sagebrush, reprint, 2017. Made possible by USU, NRCS, USFS, BLM, PRBO Conservation Science, NDOW, GBFSE
Ecohydrologic impacts of rangeland fire on runoff and erosion: A literature synthesis, 2016. RMRS-GTR-351
Using resilience and resistance concepts to manage threats to sagebrush ecosystems, Gunnison sage-grouse, and Greater sage-grouse in their eastern range: A strategic multi-scale approach, 2016. RMRS-GTR-356
A field guide for rapid assessment of post-wildfire recovery potential in sagebrush and pinon-juniper ecosystems in the Great Basin: Evaluating resilience to disturbance and resistance to invasive annual grasses and predicting vegetation response, 2015. RMRS-GTR-338
A review of fire effects on vegetation and soils in the Great Basin Region: Response and site characteristics, 2013. RMRS-GTR-308
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The Climate Forecast System Reanalysis (CFSR) is used to provide the meteorological data for calculating the indices. Our results indicate that HDW can identify days on which synoptic-and meso-alpha-scale weather processes can contribute to especially dangerous fire behavior. HDW is shown to perform better than the HI for each of the four historical fires. Additionally, since HDW is based on the meteorological variables that govern the potential for the atmosphere to affect a fire, it is possible to speculate on why HDW would be more or less effective based on the conditions that prevail in a given fire case. The HI, in contrast, does not have a physical basis, which makes speculation on why it works or does not work difficult because the mechanisms are not clear.
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In this study, we conducted a field and data synthesis of nine years of annual plant communities occurring below perennial plants the National Park Service (NPS) had outplanted in 2008. At 30 sites disturbed by road construction and that were revegetated by NPS, we measured annual and perennial plants in 2009 (one year after nursery-grown perennials were outplanted at the sites), 2010, 2011, and 2017 (nine years after restoration). We also made these same measurements below vertical mulch structures.
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In this study, researchers measured vegetation structure and fuel moisture (pre-burn), weather conditions, belowground heat dosages, and peak temperatures (during the burn), and burn severities and unburned refugia (post-burn) for paired morning and afternoon prescribed burns at each of ten prairie sites throughout the south Puget Sound in 2014.