The Free Roaming Equids and Ecosystem Sustainability Network (FREES) is a group of diverse organization working for a common goal of “healthy herds of free-roaming equids (wild horse and burros) on healthy rangelands.” FREES seeks to enhance communication and engage diverse stakeholder groups in meaningful dialogue as they work to achieve equid and ecosystem sustainability.
A block of rooms is available at the Hilton Garden Inn and Holiday Inn in St. George, UT.
The monitoring for adaptive management of the 2015 Soda Megafire area (113,000 Ha) sampled up to 2000 observation plots in each of five post-fire years, and provided important insights on challenges, solutions, and insights that can be applied to monitoring future burned areas.
This study involved a review of available spatial products to assess advances in, and barriers to, applying contemporary model-based maps to support rangeland management. We found dozens of regional data products describing cheatgrass or annual herbaceous cover and few maps describing ventenata or medusahead. Over the past decade, IAG spatial data increased in spatial and temporal resolution and increasingly used response variables that indicate the severity of infestation such as percent cover. Despite improvements, use of such data is limited by the time required to find, compare, understand, and translate model-based maps into management strategy. There is also a need for products with higher spatial resolution and accuracy. In collaboration with a multipartner stakeholder group, we identified key considerations that guide selection of IAG spatial data products for use by land managers and other users. On the basis of these considerations, we discuss issues that contribute to a research-implementation gap between users and product developers and suggest future directions for improved development of management-ready spatial products.
This study tested four flight frequencies during the growing season. Classification accuracy based on reference data increased by 5–10% between a single flight and scenarios including all conducted flights. Accuracy increased from 50.6% to 61.4% at the drier site, while at the more mesic/densely vegetated site, we found an increase of 59.0% to 64.4% between a single and multiple flights over the growing season. Peak green-up varied by 2–4 weeks within the scenes, and sparse vegetation classes had only a short detectable window of active photosynthesis; therefore, a single flight could not capture all vegetation that was active across the growing season. The multi-temporal analyses identified differences in the seasonal timing of green-up and senescence within herbaceous and sagebrush classes. Multiple UAV measurements can identify the fine-scale phenological variability in complex mixed grass/shrub vegetation.
This guidebook is to help the rancher and/or land manager use business planning and ecological monitoring to ensure the ranch or land is managed in a sustainable manner.
Forest managers increasingly require statistically grounded estimates of forest carbon storage at the resolution of individual ownerships (a few thousand acres). Carbon offset markets and general recognition of climate change mitigation as an ecosystem service provide incentive for monitoring carbon, but stand exams are costly, and varying methods may reduce comparability across ownerships. NASA’s GEDI mission provides high-quality lidar data across the country, and the Forest Service’s OBIWAN tool (Online Biomass Inference using Waveforms and iNventory) allows owners to generate and document GEDI-based estimates of mean carbon storage for their own land.
Presented by: Matt Reeves
Estimating the number of animals that can be sustainably supported depends on numerous factors such as forage quantities, terrain, distance from water, and the type of vegetation being considered. Historically most approaches to conducting capacity estimates were limited by a paucity of spatially explicit data describing these factors. However, recent advances in remotely sensed data products and modelling ideas have improved our ability to refine these estimates and do it consistently across all lands which has significant implications for future land management plans such as Allotment Management Plans and Annual Operating Instructions (AOI) for federally managed grazing allotments. In this presentation we demonstrate application of our modernized modelling approach and present results of our recent assessment of wild horse and burro capacity in California.
Presented by: Crystal Stonesifer
Aircraft are important fire management tools, but their use can bring substantial costs and associated risks. We developed the Aviation Use Summary (AUS), which is a decision support framework to help track the location, timing, and amount of aircraft use in fire suppression; this information is presented in a way that helps guide decision makers through a structured risk assessment and a repeatable check-in process. Extensive use in large fire support has demonstrated the effectiveness of the framework, related limitations, and potential for future improvements and broad adoption in fire management.
Invasive forb and grass species are likely to expand their ranges and continued increases in temperature, aridity and area burned will increase invasion risk. Monitoring species presence and absence and mapping known and potential ranges with a focus on presence detection, as in our methodology, will aid in identifying new invasions and prioritizing prevention and control.
We first analyzed interannual trends in six phenological measures as a baseline. We then demonstrated how including annual-resolution predictors can provide more nuanced insights into measures of phenology between plant communities and across the ecoregion. Across the study area, higher annual precipitation increased both peak and season-long productivity. In contrast, higher mean annual temperatures tended to increase peak productivity but for the majority of the study area decreased season-long productivity. Annual precipitation and temperature had strong explanatory power for productivity-related phenology measures but predicted date-based measures poorly. We found that relationships between climate and phenology varied across the region and among plant communities and that factors such as recovery from disturbance and anthropogenic management also contributed in certain regions. In sum, phenological measures did not respond ubiquitously nor covary in their responses. Nonclimatic dynamics can decouple phenology from climate; therefore, analyses including only interannual trends should not assume climate alone drives patterns.