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Description: Through a case study from Washington, DC, participants will learn how to get feedback from historically underrepresented groups and tailor cooperative extension programs to people of different races, ages, and academic backgrounds.
Some people, such as minorities and those from under-educated and lower income backgrounds, are typically excluded from conversations surrounding the degradation and improvement of ecosystem structure, function, and services. In an effort to provide an opportunity for under-served populations to be heard, inform content creation in academic courses and in cooperative extension programs, and create experiential learning opportunities for students at our land-grant university, we developed a survey instrument to gather public perceptions and knowledge on natural resources and climate change. This survey was administered in-person by undergraduate students at the University of the District of Columbia and online in Washington, DC. We will share the lessons we learned about effectively reaching people and how demographics of stakeholders need to be considered. Understanding what people know and perceive is key to designing effective educational programs, engaging in collective conversations, and building effective partnerships that find solutions for environmental problems that benefit the community.
Presenters: USDA Northeast Climate Hub. Contact Jennifer Ryan, Science & Technology Training Library content manager, for more information.
Climate change, forests, fire, water, and fish: building resilient landscapes, streams, and managers
View report.
This report describes the framework of how fire and climate change work together to affect forest and fish communities. Learning how to adapt will come from testing, probing, and pushing that framework and then proposing new ideas. The western U.S. defies generalizations, and much learning must necessarily be local in implication. This report serves as a scaffold for that learning. It comprises three primary chapters on physical processes, biological interactions, and management decisions, accompanied by a special section with separately authored papers addressing interactions of fish populations with wildfire.
Webinar recording.
According to the August 2, 2022 U.S. Drought Monitor, 39.5% of the Pacific Northwest Drought Early Warning System (DEWS) is in drought. A very wet spring and early summer has greatly improved conditions compared to March, when over 70% of the region was in drought. However, a large part of Oregon is still in Extreme (D3)/Exceptional (D4) Drought, as are pockets in Idaho. This webinar will provide more information on the current conditions and outlooks, as well as two presentations on OpenET.
These webinars provide the region’s stakeholders and interested parties with timely information on current and developing drought conditions, as well as climatic events like El Niño and La Niña. Speakers will also discuss the impacts of these conditions on things such as wildfires, floods, disruption to water supply and ecosystems, as well as impacts to affected industries like agriculture, tourism, and public health.
View the synthesis article.
In coniferous western forests, recent widespread tree mortality provided opportunities to test the long-held theory that forest cover loss increases water yield. We reviewed 78 studies of hydrologic response to standing-replacing (severe wildfire, harvest) or nonstand-replacing (drought, insects, low-severity wildfire) disturbances, and reassessed the question: Does water yield or snowpack increase after forest disturbance? Collective results indicate that postdisturbance streamflow and snowpack may increase, not change, or even decrease, and illuminate factors that may help improve predictability of hydrologic response to disturbance. Contrary to the expectation that tree mortality reduces evapotranspiration, making more water available as runoff, postdisturbance evapotranspiration sometimes increased—particularly following nonstand-replacing disturbance—
because of (a) increased evaporation resulting from higher subcanopy radiation, and (b) increased transpiration resulting from rapid postdisturbance growth. Postdisturbance hydrologic response depends on vegetation structure, climate, and topography, and new hypotheses continue to be formulated and tested in this rapidly evolving discipline.
Access The Seedlot Selection Tool or instructional webinar.
The Seedlot Selection Tool (SST) is a GIS mapping program designed to help natural resource managers match seedlots with planting sites based on climatic information.
Access application and maps.
The ERA Tool is a map-based, searchable application to select native plants for restoration and pollinator habitat enhancement by US Environmental Protection Agency (EPA) Level III Ecoregions. Since ecoregions are areas of similar climate and topography that contain characteristic, geographically distinct assemblages of natural communities and species, they are an ideal organizing unit for selecting plants for restoration. State floras, on the other hand, have many species that only occur in some ecoregions and are not appropriate choices for restoration elsewhere.
Contact: Mark Skinner, USDA Forest Service, 503-312-1656, mskinner02@fs.fed.us
The ERA is part of a comprehensive national revegetation learning project called Roadside Revegetation: An Integrated Approach to Establishing Native Plants and Pollinator Habitat. Learn more http://www.nativerevegetation.org
View report.
This report provides a GIS protocol for identifying strategic locations for fuel breaks to protect remaining large patches of habitat. It was prepared by The Nature Conservancy for the Western Association of Fish and Wildlife Agencies (WAFWA).
Geodatabase that accompanies the report –
File 1 (682MB)
File 2 (84.5MB)
View synthesis.
In this document, authors used the Intergovernmental Panel on Climate Change (IPCC) reports over the past decade, as well as studies from other experts in the field, to summarize projected changes to U.S. rangelands. Since U.S. rangelands are so diverse, authors divided the country into five eco-regions, organized into three separate sections: Southwest North America (including the desert Southwest and Great Basin); the Great Plains; and the Gulf Coast (including Florida coastal rangelands and the Texas coastal prairies).
View article.
This study showed that all models provided higher predictive accuracy than chance, with an average AUC across the 20 forage species of 0.84 for distal and proximal variables and 0.81 for proximal variables only. This indicated that the addition of distal variables improved model performance. We validated the models using two independent datasets from two regions of Idaho. We found that predicted forage species occurrence was on average within 10% of observed occurrence at both sites. However, predicted occurrences had much less variability between habitat patches than the validation data, implying that the models did not fully capture fine-scale heterogeneity. We suggest that future efforts will benefit from additional fine resolution (i.e., less than 30 m) environmental predictor variables and greater accounting of environmental disturbances (i.e., wildfire, grazing) in the training data. Our approach was novel both in methodology and spatial scale (i.e., resolution and extent). Our models can inform ungulate nutrition by predicting the occurrence of forage species and aide habitat management strategies to improve nutritional quality.
View field guide.
This field guide is designed to help identify some of the common noxious and invasive weed species that are currently threatening Utah and have been identified on Utah’s state weed list.