Case Study
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Hagmann et al. (in press) review a century of observations and multi-scale, multi-proxy research evidence that details widespread changes in forested landscapes and wildfire regimes since the influx of European colonists. Over the preceding 10 millennia, large areas of wNA were already settled and proactively managed with intentional burning by Indigenous tribes. Prichard et al. (in press) then review the research on management practices historically applied by Indigenous tribes and currently applied by some managers to intentionally manage forests for resilient conditions. They address ten questions surrounding the application and relevance of these management practices. Here, we highlight the main findings of both papers and offer recommendations for management. We discuss progress paralysis that often occurs with strict adherence to the precautionary principle; offer insights for dealing with the common problem of irreducible uncertainty and suggestions for reframing management and policy direction; and identify key knowledge gaps and research needs.
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Here, we describe a training approach that we developed to help managers effectively plan to execute intentional, climate-informed actions. This training approach was developed through the Climate Change Response Framework (CCRF) and uses active and focused work time and peer-to-peer interaction to overcome observed barriers to using adaptation planning tools. We evaluate the effectiveness of this approach by examining participant evaluations and outlining the progress of natural resources projects that have participated in our trainings. We outline a case study that describes how this training approach can lead to place and context-based climate-informed action. Finally, we describe best practices based on our experience for engaging natural resources professionals and helping them increase their comfort with climate-informed planning.
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Highlights:
- Automated and repeatable method to improve scientific integrity of long-term data
- Analyzed long-term data to improve monitoring policies and efforts
- Increased collaborations between federal and state agencies to improve data quality
- Recommendations for managing existing and new long-term monitoring data
- Spatiotemporal heatmap video of Greater sage-grouse counts across North American
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Using interview data, we examined cross-boundary collaboration after the Soda Fire that burned approximately 113,312 ha (280,000 acres) of southwestern Idaho and southeastern Oregon. We found relationships established in other management contexts were activated by individuals within agencies to share funding and resources to rehabilitate the landscape after the Soda Fire. The fire’s spatial proximity to Boise, Idaho, and temporal proximity to important federal policy decisions were primary collaboration drivers. Barriers to collaborative efforts still exist; however, interviewees highlighted the importance of individual agency (bottom-up) changes in lessening top-down constraints.
This study used a value of information approach to demonstrate the cost-effectiveness of using satellite imagery as part of the Burn Area Emergency Response (BAER), a US federal program that identifies imminent post-wildfire threats to human life and safety, property and critical natural or cultural resources. It compared the costs associated with producing a Burn Area Reflectance Classification map and implementing a BAER when imagery from satellites (either Landsat or a commercial satellite) was available to when the response team relied on information collected solely by aerial reconnaissance. The case study included two evaluations with and without Burn Area Reflectance Classification products: (a) savings of up to US$51 000 for the Elk Complex wildfire incident request and (b) savings of a multi-incident map production program. Landsat is the most cost-effective way to input burn severity information into the BAER program, with savings of up to US$35 million over a 5-year period.
A resilience-based approach to management can facilitate regional planning by guiding the allocation of management resources to where they will have optimal socioecological benefits. This type of approach requires a sound understanding of the environmental factors, ecosystem attributes and processes, and landscape components that influence ecological resilience of the focal system. Chambers et al. review and integrate resilience concepts to help inform natural resources management decisions for ecosystems and landscapes. They describe the six key components of a resilience-based approach, beginning with managing for adaptive capacity and selecting an appropriate spatial extent and grain. Additional components include developing an understanding of the factors influencing the general and ecological resilience of ecosystems and landscapes, the landscape context and spatial resilience, pattern and process interactions and their variability, and relationships among ecological and spatial resilience and the capacity to support habitats and species. They suggest that a spatially explicit approach that couples geospatial information on general and spatial resilience to disturbance with information on resources, habitats, or species provides the foundation for resilience-based management. A case study from the sagebrush biome is provided that is widely used by the management agencies.
Improving decision processes and the informational basis upon which decisions are made in pursuit of safer and more effective fire response have become key priorities of the fire research community. One area of emphasis is bridging the gap between fire researchers and managers through development of application-focused, operationally relevant decision support tools. In this paper we focus on a family of such tools designed to characterise the difficulty of suppression operations by weighing suppression challenges against suppression opportunities. These tools integrate potential fire behaviour, vegetation cover types, topography, road and trail networks, existing fuel breaks and fireline production potential to map the operational effort necessary for fire suppression. We include case studies from two large fires in the USA and Spain to demonstrate model updates and improvements intended to better capture extreme fire behaviour and present results demonstrating successful fire containment where suppression difficulty index (SDI) values were low and containment only after a moderation of fire weather where SDI values were high. A basic aim of this work is reducing the uncertainty and increasing the efficiency of suppression operations through assessment of landscape conditions and incorporation of expert knowledge into planning.
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The toolkit is comprised of three elements:
- A roadmap for invasive grass management in the West, with new best management practices for the identification, protection, and expansion of “core” areas – regions with relatively low, or no, annual grass invasion;
- Case studies highlighting the application of these practices in Idaho and Wyoming; and
- A new geospatial data layer (which uses analytical tools to compile existing federal data) to help state and local managers assess invasive annual grasses within their jurisdictions, while also offering opportunities to identify new cross-boundary collaborative projects.
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In this second phase of the research, we conducted in-depth case studies of federal land management units that were actively working to increase their application of prescribed fire. We selected four case studies based on interviewee recommendations from our first round of interviews. These cases were: the San Juan National Forest (Colorado), the BLM Socorro Field Office/Cibola National Forest (New Mexico), the Sierra National Forest (California), and the Rogue-River Siskiyou National Forest (Oregon), with a focus on the Ashland Forest Resiliency Project in the Siskiyou Mountains Ranger District. For each case study, we conducted between 11 and 17 interviews with Forest Service or BLM staff members and key external partners. In total, 53 interviews were conducted with 62 interviewees for this phase of the project. Interviews focused on the nature of the prescribed fire program on the unit, key partners, primary challenges, and strategies and opportunities for increasing use of prescribed fire.
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Modelling the spatial prioritization of fuel treatments and their net effect on values at risk is an important area for applied work as economic damages from wildfire continue to grow. We model and demonstrate a cost-effective fuel treatment planning algorithm using two ecosystem services as benefits for which fuel treatments are prioritized. We create a surface of expected fuel treatment costs to incorporate the heterogeneity in factors affecting the revenue and costs of fuel treatments, and then prioritize treatments based on a cost-effectiveness ratio to maximize the averted loss of ecosystem services from fire. We compare treatment scenarios that employ cost-effectiveness with those that do not, and use common tools and models in a case study of the Sisters Ranger District on the Deschutes National Forest in central Oregon.