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The project will use baseline data on pre-restoration measures of baseline hydrology and water quality to evaluate the impacts of large scale wetland and prairire restorations on hydrology and water quality including: recovery of key habitats and functions; abilities of wetlands to buffer variable water flows; ability of groundwater to buffer water flows; groundwater and surface water quality; changes in groundwater movement; rates of denitrification and carbon storage/ transport.
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The concept of adaptive management provides a set of good business principles to guide strategic habitat conservation, but these principles are only useful if they are put into practice through a complimentary set of business operations. To that end, if conservation is going to be successful operating at landscape scales, the conservation community must start thinking and functioning like a conservation enterprise. Much more emphasis must be placed on developing and supporting business operations that facilitate the flow of information and other resources at landscape scales. Just like successful national and global businesses, we need to develop an information supply chain to support the communication, coordination,...
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After two funding cycles, the Upper Midwest and Great Lakes (UM&GL) Landscape Conservation Cooperative (LCC) decided a more strategic approach was needed to address theconservation priorities of the region. LCC Staff sought a needs assessment that would better highlight the shared priorities and concerns of the conservation community, in addition to helping the LCC find its most effective niche in a region where collaborative conservation is fairly standard practice. This assessment was intended to: • Clarify the most effective role(s) for the LCC in this region• Identify the criteria that would guide the bounds of work undertaken by the LCC • Gather information regarding participant understanding and familiarity...
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This project analyzies projected changes in the frequency and intensity of extreme weather events across the Great Lakes region, namely heat waves, cold spells, heavy precipitation events, and droughts, using a statistically downscaled climate product produced by the Climate Working Group of the Wisconsin Initiative on Climate Change Impacts (WICCI). It will perform a probabilistic exploration of weather extremes, ideally tailored toward decision-makers who are developing impact assessments at a regional scale across the Great Lakes region.
Thermokarst lakes (lakes formed in a depression by meltwater from thawing permafrost) are common features and important ecosystems in Alaska. There is increasing concern about how thermokarst lakes respond to projected climate change and what the potential impacts are on regional carbon cycle dynamics, hydrological regime, and habitat character distribution. This demands better understanding of the location of thermokarst lakes and how their characteristics vary in landscape that will allow to better estimate the risks associated with lake area dynamics. This study attempts to map state-wide thermokarst lake distribution of Alaska, with a minimum size of 0.1 ha, using object oriented classification of high resolution...
One of the major challenges in understanding changes in coastal processes in western Alaska is the lack of measured ocean data in the region. ​This project leverages existing human resources, and physical and computational infrastructure to collect and disseminate oceanographic observations in the Bering Sea. From instrument restoration, transport and deployment, through data streaming, recovery and dissemination, this project considers the end to end supports necessary to gather, promote, and serve oceanographic data along Alaska’s Western coast. Real‐time sea‐state conditions directly benefit emergency managers and local communities, particularly in dealing with small craft hazards and predicting storm surges...
Researchers have consistently prioritized the need to measure the status and trends of stream and lake temperatures across Alaska landscapes, and to compile those data for predictive modeling. The goal of this project is to develop an open statewide water temperature network with easily understood and readily implemented data standards to support landscape-level assessments. Development of two-tiered data standard will allow data collectors and data managers the flexibility to use their existing agency protocols, yet set standards that are scientifically robust and suitable for landscape-level analysis.
This is an integrated scenario project to the PFLCC line that incorporates updated critical land and water identification project layers with a decision support system for landscape conservation planning in Florida. The scenarios incorporate climate change, urbanization, and policy assumptions into the scenarios.
Refinement of Gopher Tortoise Habitat Identification and Related Land Cover Data. The benefits of this project include: 1) much improved gopher tortoise remote habitat identification that could have a strong influence on potential listing status (with the likelihood that significantly more habitat may be identified); 2) better statewide land cover data regarding scrubby flatwoods and potentially refined mesic flatwoods and dry prairie classifications; and 3) potential spin off benefits regarding better habitat identification for related species such as gopher frogs and other xeric adapted species that might be found in on drier flatwoods and dry prairie sites.Continuation of Water Restoration Analyses. Considerable...
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The primary objective of this project is to develop a short synthesis report assessing 11 habitats, using a variety of ecological indicators. The report will be one tool that the South Atlantic LCC can use to inform decision-makers, stakeholders, and the general public about the health of South Atlantic habitats. To achieve this project, six discrete project tasks have been identified and are outlined in the next section.1) Project start-up and pre-workshop preparation: IAN will carefully review the Conservation Blueprint habitats and the indicators used to assess the health of these habitats. We will become familiar with the thresholds and data analysis that the South Atlantic LCC is using for their project. This...
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Many ecosystem models, particularly those that are “mechanistic” (based on an understanding of processes), are over-parameterized (not identifiable). As a result, model parameters are selected (not estimated using an optimization technique), parametererror/covariance terms become extremely difficult to estimate, and Monte Carlo error propagation does not adequately capture the effect of all uncertain model terms. In those situations, techniques that evolved from Regional (Generalized) Sensitivity Analysis (RSA), such as Generalized Likelihood Uncertainty Estimation (GLUE), Bayes Monte Carlo, and Markov Chain Monte Carlo (MCMC), are preferred techniques for model error propagation. These techniques can be used to...
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The South Atlantic Conservation Blueprint is a living spatial plan to conserve natural and cultural resources for future generations. It identifies shared conservation priorities across the South Atlantic region. The fourth iteration of the Blueprint, Version 2.2, was released in November 2017. It used comparable methods and the same spatial scale as Blueprint 2.0 and 2.1, just incorporating updated information for many of the indicators. Version 2.2 was a completely data-driven plan based on ecosystem indicator models for terrestrial, freshwater, and marine environments, as well as a connectivity analysis. It used a 200 m spatial scale. More than 500 people from 150 organizations participated in the development...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2017, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, AQUATIC ECOSYSTEMS, Academics & scientific researchers, Applications and Tools, All tags...
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The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
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Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...
The Bureau of Land Management- Arctic Field Office has a requirement for coordinating research andmonitoring projects related to the effectiveness of stipulations and surface resource impacts in theNational Petroleum Reserve - Alaska. Yellow-billed Loons are among the least common breeding birdsin the mainland United States and the U.S. breeding population is concentrated largely within theNational Petroleum Reserve – Alaska (NPR-A). Interest in developing the oil and gas reserves withinNPR-A has increased within the last 10 years, along with a need for better information with which toprotect loon populations. Fundamental to protection strategies is a good understanding of distributionand abundance.In 2007, the...
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The Arctic Coastal Plain Aerial Breeding Pair Survey provides data on distribution, abundance, and trend of 33 bird species that nest in northern Alaska. The survey has been conducted in its current form annually since 2007. Methods follow the standard operating procedures for the Waterfowl Breeding Population and Habitat Survey. Primary uses of the survey data are to evaluate recovery status of Spectacled Eider (Somateria fischeri) and Steller’s Eider (Polysticta stelleri), as well as monitor species of conservation concern including Lesser Snow Goose (Chen caerulescens caerulescens), Yellow-billed Loon (Gavia adamsii), Red-throated Loon (G. stellata), and Black Brant (Branta bernicla nigricans). Survey data are...
map background search result map search result map Great Lakes Information Management and Delivery System Managing for Resilience in Prairie-Wetland Landscapes of the PPP - Sustaining Habitats and Services under Accelerating Climate Change Shared Conservation Priorities Assessment 2012 Future Changes in Weather Extremes Derived from Statistically Downscaled Climate Projections for the Great Lakes Region Synthesis of South Atlantic ecosystem health indicators Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models South Atlantic Conservation Blueprint Version 2.2 Water temperature monitoring standards for Alaska North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Alaska Arctic Coastal Plain Breeding Waterbird Aerial Survey 2007-Present North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Alaska Arctic Coastal Plain Breeding Waterbird Aerial Survey 2007-Present Synthesis of South Atlantic ecosystem health indicators Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models South Atlantic Conservation Blueprint Version 2.2 Managing for Resilience in Prairie-Wetland Landscapes of the PPP - Sustaining Habitats and Services under Accelerating Climate Change Great Lakes Information Management and Delivery System Shared Conservation Priorities Assessment 2012 Future Changes in Weather Extremes Derived from Statistically Downscaled Climate Projections for the Great Lakes Region