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Our approach will include sampling a wide range of habitats and environmental conditions throughout the middle and lower Pecos River basin, across an 18 month time-span to account for seasonal and phenological events. We will utilize a suite of univariate and multivariate statistical techniques to relate occurrence and density of golden alga to environmental factors and other co-occurring organisms. The proposed research will benefit managers of the Pecos River, of its associated reservoirs and unique habitats (sinkholes on the Bottomless Lakes State Park and Bitter Lakes National Wildlife Refuge), and of its resident aquatic biota by identifying specific water quality attributes that promote golden alga bloom development...
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This project highlights the potential for LCCs to facilitate collaboration among conservation practitioners and research scientists to plan for the future. A team of UMass scientists is developing a landscape change, assessment and design model to assess ecosystems and their capacity to sustain populations of wildlife in the northeastern U.S. in the face of urban growth, climate change, and other stressors. The project plays a major role in developing the science and data for two collaborative landscape planning and design efforts: 1) the pilot Landscape Conservation Design for the Connecticut River Watershed, and 2) Nature’s Network, which expands and elaborates on the data to extend to throughout New England and...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, 2011, 2012, 2013, 2014, All tags...
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This project will evaluate the impacts of future climate change scenarios on the survival and viability of Pacific lamprey and Pacific Eulachon populations that are used as food sources by the Native American tribes of the Columbia River Basin and the coastal areas of Washington and Oregon. This evaluation will couple projected changes to ocean conditions and to freshwater habitat, and consider the effects of these changes on the life cycles of these fish populations.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, Academics & scientific researchers, Academics & scientific researchers, Climate Change, Columbia River Basin, All tags...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, we initiated research to estimate sightability correction factors (SCF_c) using radiocollared animals to apply to abundance estimates obtained via the GeoSpatial Population Estimator (GSPE) method. The Project Goal is to develop a model that...
Categories: Data, Project; Tags: 2016, Academics & scientific researchers, Academics & scientific researchers, CALIBRATION/VALIDATION, CALIBRATION/VALIDATION, All tags...
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A strong data foundation is needed to inform science-based decisions for fisheries management at a watershed level. In preparation for a shift towards comprehensive watershed-scale planning, Arizona Game and Fish Department (AGFD) is developing a fisheries data management system with an initial focus on compiling and formatting several hundred thousand fish survey and stocking records. Fish data will be integrated within a Geographic Information System (GIS) by georeferencing observations to an existing national spatial framework (National Hydrography Dataset), which will allow for broader transferability to watersheds shared with neighboring states, creating a seamless layer not limited by state boundaries. In...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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Northern Arizona University will build upon the U.S. Forest Service Four Forest Restoration Initiative in Northern Arizona to investigate how restoration efforts can affect the water volume available in the snowpack and soil moisture in the Desert LCC. This project will result in a tool that can be used to predict the water volume in snowpack and soil moisture response to various forest treatments.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, AL-04, AZ-01, Academics & scientific researchers, Applications and Tools, All tags...
Project Goal The goal of this project is two-fold: 1) to increase the understanding of how meadow restoration impacts hydrology and 2) to inform management and investment decisions around using restoration as a tool to build resilience under climate change. Objectives in support of this goal include: - Complete data collection and analysis and publish peer-reviewed research article on the results of groundwater and surface water measurements before and after restoration in Indian Valley Meadow (Eldorado National Forest) - Double the published scientific literature on the water supply benefits of meadow restoration and produce the first empirical study - Estimate groundwater and base flow (late season groundwater...
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Rocky Mountain Research Station scientists initiated a study in the 1990s on avian distribution and habitat associations within the Sky Islands. By re-measuring vegetation and bird populations following wildfires and applying climate change models, they will assess the singular and synergistic effects of climate change and wildfire and provide strategies for managing resilient forests and conserving the avian community structure. They will also continue and expand citizen science efforts to develop a long term avian monitoring plan, as well as simulation studies to provide optimal monitoring designs for avian species to detect changes from large-scale stressors.


    map background search result map search result map Predicting Snow Water Equivalence (SWE) and Soil Moisture Response to Restoration Treatments in Headwater Ponderosa Pine Forests of the Desert LCC Resource Management in a Changing Climate: Understanding the Relationships between Water Quality and Golden Alga Distribution in the Pecos River, New Mexico and Texas A Landscape Approach for Fisheries Database Compilation and Predictive Modeling Assessing Large-Scale Effects of Wildfire and Climate Change on Avian Communities and Habitats in the Sky Islands, Arizona A Coupled (Ocean and Freshwater) Assessment of Climate Change Impacts on Pacific Lamprey and Pacific Eulachon Designing Sustainable Landscapes in the Northeast Region Assessing Large-Scale Effects of Wildfire and Climate Change on Avian Communities and Habitats in the Sky Islands, Arizona Predicting Snow Water Equivalence (SWE) and Soil Moisture Response to Restoration Treatments in Headwater Ponderosa Pine Forests of the Desert LCC Resource Management in a Changing Climate: Understanding the Relationships between Water Quality and Golden Alga Distribution in the Pecos River, New Mexico and Texas A Landscape Approach for Fisheries Database Compilation and Predictive Modeling A Coupled (Ocean and Freshwater) Assessment of Climate Change Impacts on Pacific Lamprey and Pacific Eulachon Designing Sustainable Landscapes in the Northeast Region