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This rapid review investigates recent evidence (post-2009) regarding the effectiveness of public health messaging during smoke events. Principal results were: 1) Smoke-related public health messages are communicated via a variety of channels, but limited evidence is available regarding their effectiveness for the general public or at-risk groups. 2) Messages that use simple language are more commonly recalled, understood, and complied with. Compliance differs according to socio-demographic characteristics. 3) At-risk groups may be advised to stay indoors before the general population, in order to protect the most vulnerable people in a community.
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For this study, researchers organized two workshops to investigate how traditional and western knowledge can be used to enhance wildland fire and fuels management and research. Tribal members, managers, and researchers were engaged to formulate solutions regarding the main topics identified as important to tribal and other land managers: cross-jurisdictional work, fuels reduction strategies, and wildland fire management and research involving traditional knowledge. A key conclusion from the workshops is that successful management of wildland fire and fuels requires collaborative partnerships that share traditional and western fire knowledge through culturally sensitive consultation, coordination, and communication for building trust. We present a framework for developing these partnerships based on workshop discussions.
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In this chapter, we identify and classify sources of uncertainty using an established analytical framework, and summarize results graphically in an uncertainty matrix. Our analysis facilitates characterization of the underlying nature of each source of uncertainty (inherent system variability versus limited knowledge), the location where it manifests within the modeling process (inputs, parameters, model structure, etc.), and its magnitude or level (on a continuum from complete determinism to total ignorance). We adapt this framework to the wildfire context by identifying different planning horizons facing fire managers (near‐, mid‐, and long‐term) as well as modeling domains that correspond to major factors influencing fire activity (fire behavior, ignitions, landscape, weather, and management). Our results offer a high‐level synthesis that ideally can provide a sound informational basis for evaluating current modeling efforts and that can guide more in‐depth analyses in the future. Key findings include: (1) uncertainties compound and magnify as the planning horizon lengthens; and (2) while many uncertainties are due to variability, gaps in basic fire-spread theory present a major source of knowledge uncertainty.
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This study suggests that policy and management have focused primarily on specified resilience approaches aimed at resistance to wildfire and restoration of areas burned by wildfire through fire suppression and fuels management. These strategies are inadequate to address a new era of western wildfires. In contrast, policies that promote adaptive resilience to wildfire, by which people and ecosystems adjust and reorganize in response to changing fire regimes to reduce future vulnerability, are needed.
Key aspects of an adaptive resilience approach are:
- recognizing that fuels reduction cannot alter regional wildfire trends;
- targeting fuels reduction to increase adaptation by some ecosystems and residential communities to more frequent fire;
- actively managing more wild and prescribed fires with a range of severities;
- incentivizing and planning residential development to withstand inevitable wildfire.
These strategies represent a shift in policy and management from restoring ecosystems based on historical baselines to adapting to changing fire regimes and from unsustainable defense of the wildland–urban interface to developing fire-adapted communities. We propose an approach that accepts wildfire as an inevitable catalyst of change and that promotes adaptive responses by ecosystems and residential communities to more warming and wildfire.
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In this study, new parameterization schemes for erodibility were developed for the application of RHEM on undisturbed and disturbed rangelands. In most cases, only one erodibility parameter (KSS) is needed to run the model, minimizing the error that can be generated from the parameterization process.
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This study used a genecological approach to explore genetic variation for survival in Artemisia tridentata (big sagebrush). It found evidence of adaptive genetic variation for survival. Plants from areas with the coldest winters had the highest levels of survival, while populations from warmer and drier sites had the lowest levels of survival. Survival was lowest, 36%, in the garden that was prone to the lowest minimum temperatures. These results suggest the importance of climatic driven genetic differences and their effect on survival. Understanding how genetic variation is arrayed across the landscape, and its association with climate can greatly enhance the success of restoration and conservation.
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This study used graph theory, representing priority areas as spatially distributed nodes interconnected by movement corridors, to understand the capacity of priority areas to function as connected networks in the Bi-State, Central, and Washington regions of the greater sage-grouse range. The Bi-State and Central networks were highly centralized; the dominant pathways and shortest linkages primarily connected a small number of large and centrally located priority areas. These priority areas are likely strongholds for greater sage-grouse populations and might also function as refugia and sources.
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This study measured aboveground C pools and fluxes at leaf, soil, and ecosystem scales over a single growing season in plots that had 200 mm of supplemental precipitation added in either winter or summer for the past 21 years, in shrub- and exotic-bunchgrass-dominated garden plots. In general, ecosystem C uptake and long-term biomass accumulation were greater in winter- and summer-irrigated plots compared to control plots in both vegetation communities.
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This study adapted and applied four rangeland health indicators to data compiled by the U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station’s Forest Inventory and Analysis (FIA) program for research locations on the Fishlake National Forest in central Utah. These data can be used by local forest managers to determine the health status of the local forest and to identify the proportion of sites that may be functioning at risk.
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This study used public land records to characterize livestock grazing across Wyoming, USA, and we used greater sage-grouse (Centrocercus urophasianus) as a model organism to evaluate responses to livestock management. The study found grazing can have both positive and negative effects on Sage-grouse populations depending on the timing and level of grazing. Sage-grouse populations responded positively to higher grazing levels after peak vegetation productivity, but populations declined when similar grazing levels occurred earlier, likely reflecting the sensitivity of cool-season grasses to grazing during peak growth periods.