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USGS Science Capabilities and Opportunities for Collaboration
USGS Science Capabilities and Opportunities for Collaboration pdf presentation from April 6, 2016 LCC Steering Committee Meeting
North Atlantic LCC Member Federal Agency Resources to Support Landscape Conservation
Presentations and associated documents on capabilities and opportunities for collaboration provided by LCC federal agency members to the North Atlantic LCC Steering Committee at their April 6, 2016 Steering Committee meeting.
State University of New York
The State University of New York is the largest comprehensive university system in the United States. Our impact in New York State and across the globe begins with our 64 institutions, including research universities, academic medical centers, liberal arts colleges, community colleges, colleges of technology and an online learning network. We educate approximately 463,000 students in more than 7,500 degree and certificate programs, and nearly 2 million in workforce and professional development programs. Our nearly 3 million SUNY alumni are located around the globe, each making their own unique impact.
Summary of Goals and Objectives from Strategic Plan
April 2016
Request for input on performance measures for LCC Network
April 2016
Taunton River Watershed Alliance case study
Partners in the Taunton River watershed in Massachusetts use resources from the North Atlantic Aquatic Connectivity Collaborative to identify priority road-stream crossings for wildlife and communities
Highstead Case Study
Highstead Case Study
Hydrography High Resolution, 1:24,000, Northeast
Hydrography represents stream centerlines and off centerlines with greater than 30 hectare flow accumulation for the Northeast region. The purpose of this dataset is to improve the National Hydrography Dataset (NHD) for the Northeast region. The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Once linked by reach addresses, the upstream/downstream relationships of these water-related entities can be analyzed.
Hampshire Gazette goes behind the scenes of Connect the Connecticut
The daily newspaper serving Hampshire and Franklin counties in Massachusetts featured the Connect the Connecticut project in its special environmental section.
Terrestrial Core and Connector Network Metadata
Zip file containing the XMLs for tier 1 cores and connectors, grassland bird cores, and tiers 2 and 3
Aquatic Cores and Buffers Network Metadata
Zip file of xmls for lotic cores, lentic cores, aquatic buffers, and stream classes
Aquatic Core Network and Buffers
These datasets represent aquatic cores and aquatic buffers, in combination with terrestrial cores and connectors they spatially represent the ecological network derived from the CTR LCD project. Data included in this download include: River and Stream Cores, Lake and Pond Cores, Aquatic Buffers (raster), and River and Stream Network (Stream Classes, The Nature Conservancy). River and Stream cores represent: 1) streams of relatively high ecological integrity across all lotic ecosystem types, emphasizing rivers and streams that are relatively intact and resilient to environmental changes. 2) headwater streams of relatively high current habitat value for brook trout, emphasizing streams that provide the best habitat conditions under current climate conditions; and 3) large and medium rivers that provide habitat for anadromous fish, including the portions of the main-stem and major tributaries of the Connecticut River from the mouth of the river upstream to the limit of passability for 5 additional fish species. Lake and Pond cores represent: lakes and ponds of relatively high ecological integrity, emphasizing lakes and ponds that are relatively intact and resilient to environmental changes due to their size and connectivity to similar natural environments. Aquatic Buffers spatially represent the areas estimated to have a strong influence on the integrity of the aquatic cores based on watershed processes. Specifically, the buffers represent areas hydrologically connected to the aquatic cores through surface runoff and instream flow processes, such that anthropogenic stressors within the buffers are likely to adversely impact the integrity of the aquatic cores. Unlike the cores the buffers do not necessarily represent areas of high ecological integrity. River and Stream Network is a classified version of the stream network in which streams are classified and mapped along centerlines, even through wetlands and lake and pond systems. This layer is provided for the sole purpose of facilitating the display and mapping of landscape design products, as it is easier to visualize vector features for narrow linear features.
Aquatic Vulnerability to Development
This dataset represents the aquatic vulnerability to development index, which reflects the likelihood of development occurring in places in the uplands that are likely to impact the aquatic cores. Specifically, aquatic vulnerability is the product of the aquatic buffers, which represent the areas estimated to have a strong influence on the integrity of the aquatic cores based on watershed processes, and the integrated future probability of development between 2010-2080. Cells with relatively low watershed influence on the aquatic cores have low vulnerability regardless of their risk of development, since the integrity of the cores will not be degraded too much if they get developed. Aquatic vulnerability is greatest where there is high watershed influence; i.e., uplands in close proximity to the cores as the water flows, and where there is also relatively high probability of development in the future.
Culvert Upgrade Impacts
This dataset represents opportunities to restore aquatic connectivity by upgrading culverts. Specifically, this product tabulates the results of a model in which each road-stream crossing is systematically upgraded (virtually) to a bridge having the minimum aquatic barrier score, one at a time, and the predicted improvement in aquatic connectedness from the upgrade is recorded. The delta, or difference, in the aquatic connectedness score, before and after the crossing upgrade for each cell within the affected neighborhood, is computed and multiplied by the average index of ecological integrity of the affected neighborhood. The weighting by the Index of Ecological Integrity emphasizes the potential ecological benefits of a crossing upgrade in an area that is otherwise in good condition but depressed by the crossing structure. Conversely, the score is lower where conditions are already so degraded that an upgrade would not improve local ecosystem conditions.
North Atlantic LCC 2015 Annual Report
In 2015, the LCC redoubled efforts to deliver science to decision makers. Our annual report highlights how this information is being used to address conservation needs across the region in the words of partners.
Stream Temperature Tolerance
This dataset represents a scaled version of the headwater stream temperature tolerance index based on a model developed by Dr. Ben Letcher and associates at the USGS Conte Anadromous Fish Lab, which is a measure of the relative sensitivity of stream temperatures to rising air temperatures. Specifically, sensitivity is measured by the slope of the linear relationship between air and stream temperatures during the spring season when air temperatures are rising. A steeper slope indicates that stream temperature responds faster to air temperature change, while a shallow slope indicates that stream temperature is more independent of air temperature change. Lower values (i.e., shallower slopes) are interpreted as being more tolerant under climate change, possibly because of groundwater influence or other factors. Conversely, streams with higher slopes are likely to be more impacted by increased air temperatures. In the layer provided here, the raw rising slope index is inverted and (quantile) scaled by HUC6 watershed so that the least tolerant headwater creek (steepest slope) gets a 0 and the most tolerant (shallowest slope) gets a 1 within each watershed.
Aquatic Index of Ecological Integrity
This dataset represents Aquatic index of ecological integrity (IEI), which is a measure of relative intactness (i.e., freedom from human modifications and disturbance) and resiliency to environmental change (e.g., as caused by disturbance and climate change). Raw IEI is a composite index derived from 19 different landscape metrics that measure different aspects of intactness and resiliency. For the derivation of this layer, raw IEI is (quantile) scaled by ecological system and HUC6 watershed so that the poorest cell of each ecological system gets a 0 and the best gets a 1 within each watershed. Aquatic IEI, is provided for convenience in displaying the results of the aquatic conservation design but is otherwise equivalent to Weighted IEI except that it only has values for aquatic cells (all non-aquatic cells are set to nodata), is technically unweighted IEI. IEI is a major component of the terrestrial and aquatic core area selection indices and thus the terrestrial and aquatic network of core areas.
EPA_SciCapabilities
EPA_SciCapabilities
EPA_SciCapabilities
EPA_SciCapabilities
CSC_SciCapabilities
CSC_SciCapabilities

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