Article / Book
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This paper provides a historical perspective of the influence of cheatgrass invasion on western rangelands (1930-1950). This was a period of awakening interest by range scientists. Range managers, the livestock industry, and scientists have always bad a love-bate relationship with cheatgrass. It provides the bulk of the forage on many ranges, yet it is the symbol of environmental degradation. Trying to cope with the endless ramifications of cheatgrass invasion, dominance, persistence, and potential community decline keep forcing scientists to critically evaluate the ecological principles upon which range management is based.
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The range livestock industry has adapted to the presence of invasive annual grasses, especially where infestations are extensive. Light to moderate livestock grazing provides enough standing grass at the end of the grazing season to limit soil erosion and conserve soil moisture and nutrients. Elsewhere, however, where infestations of invasive annual grasses are less extensive or less advanced, opportunities exist for using targeted, or prescribed, livestock grazing to suppress annual grass plants. This chapter focuses on using prescribed livestock grazing to suppress invasive annual grasses on sites where these grasses are considered weedy invaders.
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Although this study helped pinpoint optimal defoliation parameters for cheatgrass control, it also called into question the potential for livestock grazing to be an effective seed-bed preparation technique in native plant reseeding projects in cheatgrass-dominated areas.
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Cattle removed 80 to 90% of standing biomass in grazed plots in May of 2005 and 2006 when B. tectorum was in the boot (phenological) stage. Grazed and ungrazed plots were burned in October 2005 and 2006. The combined grazing–burning treatment was more effective than either treatment alone in reducing B. tectorum seed input and seed bank density, and in shifting species composition from a community dominated by B. tectorum to one composed of a suite of species, with B. tectorum as a component rather than a dominant. This study provides a meso-scale precursor for landscape-scale adaptive management using grazing and burning methodologies.
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Grazing exacerbates Bromus tectorum dominance in one of North America’s most endangered ecosystems by adversely impacting key mechanisms mediating resistance to invasion. If the goal is to conserve and restore resistance of these systems, managers should consider maintaining or restoring: (i) high bunchgrass cover and structure characterized by spatially dispersed bunchgrasses and small gaps between them; (ii) a diverse assemblage of bunchgrass species to maximize competitive interactions with B. tectorum in time and space; and (iii) biological soil crusts to limit B. tectorum establishment. Passive restoration by reducing cumulative cattle grazing may be one of the most effective means of achieving these three goals.
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This article highlights the experiences and observations of the contributing contract graziers and agency land managers. The contract graziers share their personal knowledge of providing land services in a diverse array of situations, from small, rigorously managed parcels to watershed-scale projects. They expound on the immense planning, preparation, and oversight necessary to successfully conduct a vegetation management contract, as well as the challenges of surviving economically in the industry. Public land managers reveal the challenges of employing targeted grazing on public lands and provide insight on what must be done to make targeted grazing a widely accepted management practice.
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Flying Mule Farm has provided targeted grazing services for small- to medium-sized (under 250 acres) projects in the Sierra foothills since 2008. We have also worked with several large targeted grazing contractors to manage large scale projects in the foothills and the Sacramento Valley. We have found that combining the scientific underpinnings of range science with the art of managing livestock, ecological processes, and human beings makes the business of targeted grazing uniquely challenging.
The book, Exotic brome-grasses in arid and semiarid ecosystems of the western US: causes, consequences, and management implications, is presented in several chapters.
Access is provided for the following chapters -
Chapter 1 - Introduction: Exotic annual Bromus in the western USA
Chapter 2 - Exotic annual Bromus invasions: comparisons among species and ecoregions in the western US
Chapter 3 - Ecosystem impacts of exotic annual invaders in the genus Bromus
Chapter 7 - Community ecology of fungal pathogens on Bromus tectorum
Chapter 8 - Soil moisture and biogeochemical factors influence the distribution of annual Bromus species
Chapter 9 - Bromus response to climate and projected changes with climate change
Chapter 10 - Plant community resistance to invasion by Bromus species: The roles of community attributes, Bromus interactions with plant communities, and Bromus traits
Chapter 11 - Land uses, fire, and invasion: Exotic annual Bromus and human dimensions
Chapter 12 - Assessing restoration and management needs for ecosystems invaded by exotic annual Bromus species
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This study reviewed published studies on reburns in fire-adapted ecosystems of the world, including temperate forests of North America, semi-arid forests and rangelands, tropical and subtropical forests, grasslands and savannas, and Mediterranean ecosystems. To date, research on reburns is unevenly distributed across the world with a relative abundance of literature in Australia, Europe and North America and a scarcity of studies in Africa, Asia and South America. This review highlights the complex role of repeated fires in modifying vegetation and fuels, and patterns of subsequent wildfires. In fire-prone ecosystems, the return of fire is inevitable, and legacies of past fires, or their absence, often dictate the characteristics of subsequent fires.
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Our results demonstrated that the important predictors from Lidar-derived metrics had a strong correlation with field-measured biomass in the Random Forests (RF) regression models. The Stepwise Multiple Regression (SMR) results were similar but slightly better than RF. Overall, both RF and SMR methods explained more than 74% of the variance in biomass, with the most important Lidar variables being associated with vegetation structure and statistical measures of this structure (e.g., standard deviation of height was a strong predictor of biomass). Using our model results, we developed spatially-explicit Lidar estimates of total and shrub biomass across our study site in the Great Basin, U.S.A., for monitoring and planning in this imperiled ecosystem.