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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...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions are known to 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, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.
To inform management for a resilient and functioning landscape, we need to understand how the landscape is changing. The Northwest Boreal Landscape Conservation Cooperative, working with a diverse group of managers and stakeholders, initiated development of a coordinated monitoring system for the northwest boreal ecoregion in 2016. The goal for the coordinated monitoring system is to provide a set of common denominators (i.e., minimum standards) that will allow cooperators to combine monitoring data to make landscape-scale inferences. The monitoring system is intended to detect landscape-scale changes related to climate change or human disturbance. This effort is intended to leverage limited monitoring resources...
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Despite growing interest in ecosystem services and multi-functional landscapes, there are still relatively few examples of projects that assess the delivery of multiple goods and services and evaluate how multi-objective conservation strategies can improve outcomes relative to single-objective or species-centric approaches (Boody et al. 2005). Quantifying the impact of conservation on the delivery of multiple ecosystem services and habitat values requires specialized expertise and extensive data collection. Even with robust biophysical and habitat models, relating these models to impacts on individuals and communities is challenging and requires interdisciplinary approaches. In addition to modeling and data hurdles,...
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Prioritization for protection of habitat (via acquisition or easements), based on local scale ecological integrity, degree of threats faced, potential conservation opportunities, and conservation value of surrounding landscape. In contrast to ecological integrity ratings; threat, opportunity and landscape rankings are largely based on the range of values of any given indicator across the geography, sorted by quantile. There are some exceptions, particularly for indicators used to develop threat rankings (e.g., urban development risk). EEMS is a tree-based, fuzzy logic modeling system, where output values range from -1 to +1, indicating whether a given output is entirely FALSE or TRUE, respectively. Indicators with...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Conservation NGOs, Data, Data.gov Gulf Coast Prairie Landscape Conservation Cooperative, EARTH SCIENCE SERVICES > MODELS > SOCIAL AND ECONOMIC MODELS, All tags...
Submerged aquatic vegetation (SAV) provides many critical ecosystem services, yet we lack basic information on SAV assemblages, biomass and diversity across expansive coasts such as the northern Gulf of Mexico (nGoM). This research investigated SAV along the nGoM from 2013-2015 examining (1) inter-annual variation in SAV assemblages and biomass across salinity zones and gulf coast eco-regions (Texas Mid-Coast, Texas/LA Chenier Plain, Louisiana Delta, MS/AL), (2) intra-annual variation in SAV assemblages and biomass across salinity zones, (3) response of two species, Ruppia maritima and Myriophyllum spicatum, to salinity and light regimes, and (4) estimated organic carbon stock and storage of SAV habitat soils across...
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.


map background search result map search result map Value-added conservation: Optimizing landscapes for ecosystem services Habitat data for Gulf Hypoxia Blueprint Supplemental data for Gulf Hypoxia Blueprint Arctic LCC Alaskan Boundary Map, Satellite Bringing Alaska’s Freshwater Hydrography into the 21st Century Alaska LiDAR Data Processing - Colville to Staines River The Edwards to Gulf Conservation Blueprint - Habitat Protection Prioritization Value-added conservation: Optimizing landscapes for ecosystem services Alaska LiDAR Data Processing - Colville to Staines River The Edwards to Gulf Conservation Blueprint - Habitat Protection Prioritization Arctic LCC Alaskan Boundary Map, Satellite Habitat data for Gulf Hypoxia Blueprint Supplemental data for Gulf Hypoxia Blueprint Bringing Alaska’s Freshwater Hydrography into the 21st Century