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The rugged landscapes of northern Idaho and western Montana support biodiverse ecosystems, and provide a variety of natural resources and services for human communities. However, the benefits provided by these ecosystems may be at risk as changing climate magnifies existing stressors and allows new stressors to emerge. Preparation for and response to these potential changes can be most effectively addressed through multi-stakeholder partnerships, evaluating vulnerability of important resources to climate change, and developing response and preparation strategies for managing key natural resources in a changing world. This project supports climate-smart conservation and management across forests of northern Idaho...
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This workshop introduced and demonstrated key concepts and a series of software tools, whichallow managers, biologists, and conservationists to efficiently evaluate predictors of wildlife space-use and generate spatial models based on that analysis.Specific content of the workshop: Access to free or low-cost remote sensing information on vegetation, climate, habitat metrics, disturbance, etc., in a useable format, including covariate datasets currently available or under development by the NASA Terrestrial Observation and Prediction System (TOPS) Explanation of how this information is derived, created, integrated, validated and matched with species data sets prior to analysis Demonstration of user-friendly computer...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alberta, British Columbia, CO-2, CO-3, All tags...
Conserving migratory or wide-ranging species presents considerable challenges, as these individuals move across disparate jurisdictions often crossing international borders among crucial stages of their annual cycle. Within North America, Migratory Bird Joint Ventures (JVs) have established successful partnerships to coordinate the planning and delivery of conservation actions within key regions to benefit migratory bird populations. However, the extent to which local conservation actions influence regional demographics and in turn affect continental population dynamics remains poorly understood. Maximizing efficient use of limited resources to conserve habitats for wide-ranging species has motivated a critical...
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The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The U.S. Geological Survey partnered with the U.S. Fish and Wildlife Service (USFWS), U.S. Army Corps of Engineers, University of Georgia, and their conservation partners to support adaptive management of Gulf Sturgeon (Acipenser oxyrinchus desotoi) by developing a quantitative, spatial model. The model is a Bayesian network that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in estuarine critical habitat. The model predicts habitat availability (days) for 75 alternative physiological and habitat...
Conserving migratory or wide-ranging species presents considerable challenges, as these individuals move across disparate jurisdictions often crossing international borders among crucial stages of their annual cycle. Within North America, Migratory Bird Joint Ventures (JVs) have established successful partnerships to coordinate the planning and delivery of conservation actions within key regions to benefit migratory bird populations. However, the extent to which local conservation actions influence regional demographics and in turn affect continental population dynamics remains poorly understood. Maximizing efficient use of limited resources to conserve habitats for wide-ranging species has motivated a critical...
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Despite the pandemic, Future of Fire postdoc Dr. Nina Fontana developed and contributed to a range of projects with cultural fire practitioners from 2021-2023. This funding will provide her an additional year to complete and grow projects started with partners as a Future of Fire fellow. Fontana’s work focuses on two broad areas: (1) improving best practices in teaching and learning about cultural fire, and (2) developing culturally relevant decision support tools to support cultural fire practitioners. Fontana will continue to develop and assess group experiential learning and practices that expand cultural fire education for different audiences. She will also continue her collaborations with tribal partners...
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Increasing temperatures, decreasing rainfall, and more intense droughts and storms are threatening the health and wellbeing of ecosystems and communities across Hawai‘i and the Pacific Islands. Future rainfall and temperature projections provide some insight into future change, but uncertainty remains in when, where, and how impacts will manifest, presenting daunting challenges to natural resource managers. The need for high-quality reliable climate data and translated products that can be used to proactively plan for changes in the region has never been greater. This is especially true in underserved communities where access to data and resources for integrating climate information into management planning is limited....
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We propose to identify future risk of wildlife population decline for species inhabiting the Rio Grande, New Mexico. Specifically, we will examine and quantify the interactive effect of fire and climate change on the presence and long-term persistence of native and nonnative species in residing within Rio Grande riparian and wetland habitats. We will build upon recent species vulnerability assessment work conducted for the Rio Grande and incorporate new data and model output regarding fire behavior under different climate scenarios. Predictions for future species distributions will be coupled with scores representing species adaptive capacity to quantify vulnerability to changing climate and disturbance regimes....
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The project will result in recommendations for a decision support platform that links coarse and fine scale tools and for improving the Colorado River Simulation System (CRSS) as the central analytical tool for basinwide water supply planning. The work will largely be accomplished by assembling an exceptionally qualified team in cross-disciplinary, water management decision support systems, in the CRSS, and in two finer scale water management decision supports within the basin and by responding to an advisory group oflead water management agencies.The project will immediately build on the Colorado River Basin Water Supply and Demand Study being led by the U.S. Bureau of Reclamation, will extend the interface between...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AZ-01, AZ-02, AZ-03, AZ-04, AZ-05, All tags...
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This USGS data release represents tabular and geospatial data for the Gulf Sturgeon Bayesian Network Model. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The data release was produced in compliance with 'open data' requirements as way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Bayesian network model that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL (Tabular datasets) 2. Bayesian network model outputs of...
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This USGS data release represents 35 geospatial datasets that were the Gulf Sturgeon Bayesian network model's outputs. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The U.S. Geological Survey partnered with the U.S. Fish and Wildlife Service (USFWS), U.S. Army Corps of Engineers, University of Georgia, and their conservation partners to support adaptive management of Gulf Sturgeon (Acipenser oxyrinchus desotoi) by developing a quantitative, spatial model. The model is a Bayesian network that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in...


    map background search result map search result map Decision Support Tools for Species Populations and Their Habitats Workshop: The EAGLE (Ecosystem Assessment, Geospatial Analysis, and Landscape Evaluations) System Evaluation of Decision Support System Platforms and Tools for Integrated Water Management in the Colorado River Basin Moving from Awareness to Action: Informing Climate Change Vulnerability Assessments and Adaptation Planning for Idaho and Montana National Forests Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the SRLCC (Not listed in the LCC Science Catalog due to Desert LCC co-funding and catalog administering) Data for Gulf Sturgeon Bayesian Network Model Bayesian network model outputs of the probability of habitat availability per winter month for young of year Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL for 35 physiological and habitat scenarios Bayesian network model that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL Improving the Availability and Accessibility of Climate Information for Users in Hawai‘i, American Sāmoa, and Guam Future of Fire Phase II: Learning by Doing with Cultural Fire Practitioners Bayesian network model that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL Data for Gulf Sturgeon Bayesian Network Model Bayesian network model outputs of the probability of habitat availability per winter month for young of year Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL for 35 physiological and habitat scenarios Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the SRLCC (Not listed in the LCC Science Catalog due to Desert LCC co-funding and catalog administering) Moving from Awareness to Action: Informing Climate Change Vulnerability Assessments and Adaptation Planning for Idaho and Montana National Forests Future of Fire Phase II: Learning by Doing with Cultural Fire Practitioners Evaluation of Decision Support System Platforms and Tools for Integrated Water Management in the Colorado River Basin Decision Support Tools for Species Populations and Their Habitats Workshop: The EAGLE (Ecosystem Assessment, Geospatial Analysis, and Landscape Evaluations) System Improving the Availability and Accessibility of Climate Information for Users in Hawai‘i, American Sāmoa, and Guam