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Joanna Grand

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This dataset represents untransformed average annual daily traffic (AADT), or vehicles per day, throughout the Northeastern United States circa 2010. Detailed documentation for the methods to derive the dataset are available from the Ancillary Data document: http://jamba.provost.ads.umass.edu/web/LCC/AncillaryData.pdf This dataset was developed as part of the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of the University of Massachusetts and sponsored by the North Atlantic Landscape Conservation Cooperative; for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.html Important steps in developing the dataset include: 1) Obtained raw road traffic...
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Mapping Connections across Ecosystems in the Northeast to Inform Climate Refugia
As the climate continues to change, vulnerable wildlife species will need specific management strategies to help them adapt to these changes. One specific management strategy is based on the idea that some locations that species inhabit today will remain suitable over time and should be protected. The climate conditions at those locations will continue to be good enough for species to survive and breed successfully and are referred to as climate refugia. Another management strategy is based on the idea that species will need to shift across the landscape to track suitable conditions and reach climate refugia locations as climate and land uses change over time. The more opportunities we can give species to safely...
Abstract (from Springer Link): Conservation planning is increasingly using “coarse filters” based on the idea of conserving “nature’s stage”. One such approach is based on ecosystems and the concept of ecological integrity, although myriad ways exist to measure ecological integrity. To describe our ecosystem-based index of ecological integrity (IEI) and its derivative index of ecological impact (ecoImpact), and illustrate their applications for conservation assessment and planning in the northeastern United States. We characterized the biophysical setting of the landscape at the 30 m cell resolution using a parsimonious suite of settings variables. Based on these settings variables and mapped ecosystems, we computed...
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This dataset depicts imperviousness for the Northeastern United States. Imperviousness is the percentage of the ground surface area that is impervious to water infiltration. Development such as roads and buildings increase imperviousness, which can have large effects on both aquatic and terrestrial ecosystems.The dataset is derived from two sources: 1) the 2006 National Land Cover Database (NLCD 2006), percent impervious product, and 2) OpenStreetMaps (www.openstreetmap.org). The NLCD 2006 was developed by the Multi-Resolution Land Cover Consortium (MRLC), which makes available metadata for the NLCD 2006 , NLCD 2001, and other information that describes how the imperviousness product was developed (http://www.mrlc.gov/)....
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This dataset estimates the probability of road-crossing mortality to wildlife for roads throughout the Northeastern United States circa 2010. It is based on a model that relates traffic rate to wildlife mortality developed by Gibbs and Shriver (2002) for turtles and therefore the estimates are expected to be most accurate for relatively small, slow-moving wildlife species. Units are probability, 0-1 (e.g., a value of 0.25 is equivalent to an estimated 25% chance of mortality to wildlife that attempt to cross the road at that location.)Detailed documentation for the methods to derive the dataset are available from: DSL_traffic_documentation_07-2013.pdf . This dataset was developed as part of the Designing Sustainable...
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