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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.
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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...
map background search result map search result map 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 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 North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River 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 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