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Improved Gulf Hypoxia Planning Tool: Landscape scale planning tools focus conservation priorities through a series of region-specific lenses. These tools include: CHAT; SECAS; Gulf Hypoxia Initiative - Precision Conservation Blueprint v1.5; and landscape designs developed by the Great Plains LCC and Gulf Coast Prairie LCC. Discussions with industry, agency and organizational leaders across the mid-continent suggest that the time is ripe for opening a dialogue about how to bridge the planning between the west and east to find the appropriate stakeholder-driven set of mid-continent connections for a network of lands and waters. The recipient will assist staff from multiple LCCs and other interested entities in setting...
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The conservation community of the Caribbean can feel small, at times, or as vast as the ocean thatsurrounds us. In a growingly complex world of environmental and social obstacles it is imperative towork collaboratively across ecosystems, scales, disciplines and methodologies. Protecting natural andcultural resources is essential to sustaining our health and quality of life. People, along with the fish andwildlife, rely on clean water and the benefits of healthy rivers, streams, wetlands, forests, grasslands,coasts, coral reefs, estuaries and oceans in order to thrive. Equally as diverse and vibrant as ourecosystems are the Caribbean peoples, histories, and cultures that are arguably just as threatened as ournatural...
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Information on the sources of sediment production and amount is necessary to better understand the relationship between landscape-scale ecosystem drivers (fire, large-scale invasive species removal, recreation, oil and gas development, and grazing) and sediment loading in rivers, streams, and reservoirs. An improved understanding of the sources of sediment production and the contribution of each source to total sediment load would enable resource managers to better locate and design conservation strategies to reduce sediment loading, and improve water quality, native fish habitats, and upland vegetation cover.This project will conduct an erosion and sediment supply analysis in a portion of the Upper Green River...
Categories: Data, Project; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CO-03, Colorado, Data Acquisition and Development, Datasets/Database, Decision Support, All tags...
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Although it is certain that climate change will affect the hydrology and biota of Great Plains streams, how and where these effects will be manifested is not known. This project will predict the effects of climate change on these streams by creating watershed hydrology and fish assemblage models that are both linked to watershed characteristics, then predicting changes resulting from climate change using an ensemble of general circulation models. We will identify the areas of primary conservation concern by calculating Index of Biotic Integrity values for 1,600 samples in an existing regional fish database and compare them to the areas that are most likely to experience change under future climate scenarios.
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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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Water temperature plays a critical role in the health of pre-smolt salmon life stages, and changes in water temperature may be a strong driving factor on growth and survival of juvenile Chinook salmon. Climate is expected to warm substantially in the coming decades in western Alaska, potentially affecting juvenile salmon condition in freshwater habitats. This project investigated the feasibility of using existing data to assess the variability in size-at-age and annual growth for juvenile Chinook salmon across the western Alaska landscape and to estimate the relationship between juvenile Chinook size-at-age or annual growth and spatial or temporal stream temperature gradients. The project showed adequate data exists...
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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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Alaska is an expansive state with abundant water resources. The complex landscape is defined by water and ice, but Alaska lacks quality mapping of its surface water features. The Alaska Hydrography Technical Working Group and Alaska Hydrography Database have worked to establish the Alaska Hydrography Strategic Plan to promote and guide a core mission to efficiently serve the current and future hydrography needs of Alaska for the next five years. This work will update the state’s hydrography in the National Hydrography Database from its current condition to meet national 1:24,000-scale standards. This work has focused on coordination of hydrography needs with partners and land managers, planning for the future hydrography...
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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 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...
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The code repository for the quality controll processing, data creation, modelling, and mapping or trend estimation is at https://github.com/USFWS/ACP-Mapping. The full history of the quality control process and issues is documented in R code file in this repository. Please report any addition errors to https://github.com/USFWS/ACP-Mapping/issues and follow update of this repositiry to keep track of new errors and updates to data sets, maps, or trend estimates.


map background search result map search result map Managing for Resilience in Prairie-Wetland Landscapes of the PPP - Sustaining Habitats and Services under Accelerating Climate Change Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams Erosion and Sediment Analysis in the Upper Green River Basin 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 Precision Conservation Blueprint v2.0 Bringing Alaska’s Freshwater Hydrography into the 21st Century Landscape-scale analysis of the relationship between juvenile Chinook size and growth and stream temperature in western Alaska North Slope Alaska Admiralty Bay LiDAR US and wider Caribbean Ecosystem Governance: Connecting the Dots in Conservation Alaska LiDAR Data Processing - Colville to Staines River Arctic Coastal Plain Aerial Survey Github Code Repository US and wider Caribbean Ecosystem Governance: Connecting the Dots in Conservation North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Erosion and Sediment Analysis in the Upper Green River Basin Arctic Coastal Plain Aerial Survey Github Code Repository Synthesis of South Atlantic ecosystem health indicators Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams Landscape-scale analysis of the relationship between juvenile Chinook size and growth and stream temperature in western Alaska 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 Precision Conservation Blueprint v2.0 Bringing Alaska’s Freshwater Hydrography into the 21st Century