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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
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A climate-resilient conservation portfolio includes sites representative of all geophysical settings selected for their landscape diversity and local connectedness. We developed methods to identify such a portfolio. First, we mapped geophysical settings across the entire study area. Second, within each geophysical setting we located sites with diverse topography that were highly connected by natural cover. Third, we compared the identified sites with the current network of conservation lands and with The Nature Conservancy’s (TNC’s) portfolio of important biodiversity sites identified based on rare species and natural community locations.Using this information we noted geophysical settings that were underrepresented...
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A highly permeable landscape promotes resilience by facilitating range shifts and the reorganization of communities. Roads, development, dams, and other structures create resistance that interrupts or redirects movement and, therefore, lowers the permeability. Maintaining a connected landscape is the most widely cited strategy in the scientific literature for building resilience and has been suggested as an explanation for why there were few extinctions during the last period of comparable rapid climate change. This metric is an important component of resilience because it indicates whether a process is likely to be disrupted or how much access a species has to the micro-climates within its given neighborhood. ...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
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**Symbology has been adjusted by the Open Space Institute from The Nature Conservancy's original "Geophysical Settings, 2016 Eastern U.S. and Canada" dataset.** The geophysical settings are defined by their physical properties – geology, soil, and elevation - that correspond to differences in the flora and fauna they support. They also differ in ecological character, in their value for agriculture or mining, and how they have been developed by people. For example, the region’s high granite mountains are both largely intact and topographically complex, whereas low coastal sandplains are both more fragmented and relatively flat. The geophyical settings classification enabled us to compare resilience characteristics...
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To create a wall-to-wall surface of landscape permeability we used the software CIRCUITSCAPE (McRae and Shah 2009), an innovative program that models species and population movements as if they were electric current flowing through a landscape of variable resistance. Circuit modeling is conceptually aligned with the concept of landscape permeability because it recognizes that movement through a landscape is affected by a variety of impediments, and it quantifies the degree and the directional outcomes of the compounding effects. One output is a “flow” map that shows the behavior of directional flows and highlights concentration areas and pinch-points.The results can highlight locally and regionally significant places...
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Action areas, represented as lines or polygons, for Cow or Mill Creeks. Action area locations identified through image interpretation using Google Earth imagery dated 8/27/2013 by A.G. Merrill of Stillwater Sciences in March 2015.For more information see Section 6 in: Stillwater Sciences and Aerial Information Systems. 2015. Cow Creek and Mill Creek Riparian mapping and conditions assessment. Prepared by Stillwater Sciences, Berkeley, California and Aerial Information Systems for U.S. Fish and Wildlife Service, Red Bluff, California. Financial Assistance Agreement F10AC00778.
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This dataset was last updated 05/2016. This version was updated using DSLland Version 3.1. The update to DSLland Version 3.1 from Version 3.0 is the addition of a lakes and ponds classification.This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout New York State based on environmental conditions existing in approximately 2010. Ecological integrity is defined as the ability of an area (e.g., local site or landscape) to sustain important ecological functions over the long term. In particular, the functions include the long-term ability to support biodiversity and the ecosystem processes necessary to sustain biodiversity. The Index of Ecological Integrity (IEI) is expressed...
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This layer was created from the Ecological Systems Map (ESM+, also called DSL Land) to highlight a number of habitat types specifically. We used the Summarize Zones function in ArcMap along with the Protected Areas Dataset and the ESM+ layer to identify the extent and protection status of all ecological systems (macrogroup level) across the 4 northeast states of NY, VT, NH, and ME. We also used information on potential habitats for Regional Species of Greatest Conservation Need (RSGCN) for these 4 states from a prior crosswalk of ESM+ macrogroups with Natureserve habitat types completed by Glennon and Curran (2013). The following habitat types were identified as (1) making up less than 10% of NYS (most are < 1%),...
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Landscape Conservation Cooperatives (LCCs) are public-private partnerships composed of states, tribes, federal agencies, non-governmental organizations, universities, international jurisdictions, and others working together to address landscape and seascape scale conservation issues. LCCs inform resource management decisions to address broad-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are magnified by a rapidly changing climate. For further information go to http://lccnetwork.org. The previous 2011 LCC Network Areas data is available at https://www.sciencebase.gov/catalog/item/52f2735ee4b0a6f0bd498c2f
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Riparian areas and floodplain forests are critical to wildlife and used by large numbers of species not only for habitat but as important corridors for dispersal and migration. We created a raster from the ESM+ layer that identified lotic habitats and the adjacent areas up to 100m from them in order to denote riparian features on the landscape that may be worthy of protection. We selected a 100m distance as a buffer distance which, if protected, would enhance conservation of riparian habitats and is consistent with prior recommendations we have made about protection of these features (WCS 2010, 2013).
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Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) in New york State to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries.The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
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Large forest blocks are important features on the landscape and worthy of conservation attention. Maintenance of large blocks of intact habitat is perhaps the most oft recommended biodiversity conservation strategy. We created a map of large forest blocks by selecting all of the forest formations from the Ecological Systems dataset and converting this raster coverage into a polygon coverage using ArcMap. We then used the area function within the resulting attribute table to calculate areas of forest habitats across the state. Last, we classified them according to parameters originally developed by the Orange County Open Space Plan (Orange County Planning Department, 2004) and further utilized by Cornell University’s...
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To create a wall-to-wall surface of landscape permeability we used the software CIRCUITSCAPE (McRae and Shah 2009), an innovative program that models species and population movements as if they were electric current flowing through a landscape of variable resistance. Circuit modeling is conceptually aligned with the concept of landscape permeability because it recognizes that movement through a landscape is affected by a variety of impediments, and it quantifies the degree and the directional outcomes of the compounding effects. One output is a “flow” map that shows the behavior of directional flows and highlights concentration areas and pinch-points. The results can highlight locally and regionally significant...
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Northern Diamondback Terrapin Probability of Occurrence (POC) Model for MA, RI, CT, NY, NJ, DE, MD, and VA. Warmer colors represent greater values and therefore, a higher probability of terrapins occurring in that area. The POC was developed by Karen Leu and Brooke Maslo (Rutgers University) and is based on documented occurrence between the years 2000-2012 as well as several environmental variables (see full report by S. Egger, 2016). The POC figure is the raw Maxent output. It contains the predicted probability of occurrence on a 0 - 1 scale, with 0.7722 being the highest possible value. Thresholds of 0.5, 0.6, and 0.3188 are shown. The latter value is the 10th percentile training presence logistic threshold, which...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.


    map background search result map search result map Cow and Mill Creeks Action Areas or Lines SLEUTH Urban Growth Projection for North Carolina SLEUTH Urban Growth Projection for Texas SLEUTH Urban Growth Projection for Oklahoma SLEUTH Urban Growth Projection for West Virginia Northern Diamondback Terrapin Probability of Occurrences, Northeastern U.S. Local Connectivity, New York State Index of Ecological Integrity, New York State Significant Habitats, New York State Riparian Areas, New York State Regional Flow 2016, Eastern U.S. and Canada Large Forest Blocks, New York State Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Geophysical Settings, 2016 Eastern U.S. and Canada Regional Flow 2016, Chesapeake Bay, U.S. Cow and Mill Creeks Action Areas or Lines Northern Diamondback Terrapin Probability of Occurrences, Northeastern U.S. Large Forest Blocks, New York State Regional Flow 2016, Chesapeake Bay, U.S. SLEUTH Urban Growth Projection for North Carolina SLEUTH Urban Growth Projection for West Virginia Index of Ecological Integrity, New York State Significant Habitats, New York State Riparian Areas, New York State Local Connectivity, New York State SLEUTH Urban Growth Projection for Oklahoma SLEUTH Urban Growth Projection for Texas Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Regional Flow 2016, Eastern U.S. and Canada Geophysical Settings, 2016 Eastern U.S. and Canada