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Percent Canopy Cover, 2001, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
The percent tree canopy layer quantifies per pixel tree canopy fraction as a continuous variable from 1 to 100 percent. The file is an 8 Bit continuous data file that will contain values from 0 to 255 when displayed in a software package. The value of '127' is a 'No Data' value applied to areas outside of the modeled percent tree canopy extent.
North Atlantic Landscape Conservation Cooperative's Ecoregion Boundary by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents the North Atlantic LCC's ecoregion boundary. Landscape conservation cooperatives (LCCs) are conservation-science partnerships between the U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and other federal agencies, states, tribes, NGOs, universities and stakeholders within a geographically defined area. They inform resource management decisions to address national-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are accelerated by climate change.
Landforms, Northern Appalachians by abstract, last updated: Jul 10, 2020 02:50 PM
Landforms are a component of the Ecological Land Units (ELUs), used in The Nature Conservancy Eastern Division's ecoregional planning processes. A "landform" is any physical, recognizable form or feature on the earth's surface that has a characteristic shape and that is produced by natural causes (USDA Natural Resources Conservation Service). This dataset was developed as part of "Resilient Sites for Terrestrial Conservation in the Northeast and Mid-Atlantic region"
Land Cover, 2011 by abstract, last updated: Jul 10, 2020 02:50 PM
The National Land Cover Database (NLCD) 2011 was created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD 2011 is the most up-to-date iteration of the National Land Cover Database, the definitive Landsat-based, 30 meter resolution land cover database for the Nation, clipped to the Northeast. The data in NLCD 2011 are completely integrated with NLCD 2001 (2011 Edition) and NLCD 2006 (2011 Edition). Also, as part of the NLCD 2011 project, NLCD 2001 and 2006 land cover and impervious data products have been revised and reissued (2011 Edition) to provide full compatibility with the new NLCD 2011 products. This dataset was created on a path/row basis and mosaicked to create a seamless national product.
Land Cover, 2006, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
The National Land Cover Database (NLCD) 2006 was created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD 2006 is designed to provide the user both updated land cover data and additional information that can be used to identify the pattern, nature, and magnitude of changes occurring between 2001 and 2006 for the conterminous United States at medium spatial resolution.
Land Cover, 2001, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
The National Land Cover Database 2001 Land Cover Version 2.0 layer produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium.
Index of Ecological Integrity, Stratified by Ecosystem, Version 3.1, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout the northeastern United States 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 on a relative scale (0 to 1) for ecosystems mapped on a modified version of the Northeast Terrestrial Habitat Map developed by the Nature Conservancy and the northeastern states. Ecosystems are the finest scale level of the ecological classification hierarchy. Classes include "Northeastern Interior Pine Barrens" and "Acidic Cliff and Talus".
Forest Change, Loss 2000-2012, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents forest loss during the period 2000-2012, defined as a stand-replacement disturbance, or a change from a forest to non-forest state, entirely within the study period, for the Northeast region including Canada. Data was encoded as either 1 (loss) or 0 (no loss). The Northeast data from the Global Forest Change dataset was acquired as 10x10 degree tiles, consisting of seven files per tile. All files contained unsigned 8-bit values and have a spatial resolution of 1 arc-second per pixel, or approximately 30 meters per pixel at the equator. The data was then mosaicked and clipped to the Northeast region including the North Atlantic LCC boundary in Canada. The data are results from a time-series analysis of 654,178 Landsat 7 ETM+ images in characterizing global forest extent and change from 2000 through 2012. For additional information about these results, please see the associated journal article (Hansen et al., Science 2013).
Forest Change Gain, 2000-2012, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents forest gain during the period 2000-2012, defined as the inverse of loss, or a non-forest to forest change, entirely within the study period, for the Northeast region including Canada. Data was encoded as either 1 (gain) or 0 (no gain). The Northeast data from the Global Forest Change dataset was acquired as 10x10 degree tiles, consisting of seven files per tile. All files contained unsigned 8-bit values and have a spatial resolution of 1 arc-second per pixel, or approximately 30 meters per pixel at the equator. The data was then mosaicked and clipped to the Northeast region including the North Atlantic LCC boundary in Canada. The data are results from a time-series analysis of 654,178 Landsat 7 ETM+ images in characterizing global forest extent and change from 2000 through 2012. For additional information about these results, please see the associated journal article (Hansen et al., Science 2013).
Forest Above-ground Biomass, 2012, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset measures the total amount of above-ground live biomass in forested systems, which is an important attribute of forested communites and an indicator of successional development, and an important habitat attribute for many forest-associated wildlife species. The dataset is derived from a combination of remote sensing products derived from multi-temporal Landsat TM data and Forest Inventory and Analysis (FIA) plot data and forest succession models derived from FIA plot data. It is expected this dataset will be useful for distinguishing early successional from mature forests as they existed in approximately 2012. Units are in kilograms/meters squared times 10.
Ecological Land Units, Northern Appalachian by abstract, last updated: Jul 10, 2020 02:50 PM
Developed by The Nature Conservancy Eastern Division. The Ecological Land Units (ELU) is a composite of several layers of abiotic information: elevation, bedrock geology, distribution of deep glacial sediments that mask bedrock’s geochemical effects, moisture availability, and landform. An ELU grid of 30 meter cells was developed for the Lower New England-Northern Piedmont (LNE) and North Atlantic Coast (NAC) ecoregions. The ELU dataset describes the “ecological potential” of the landscape, but carries no information about actual landuse or landcover in a region where human alterations to the landscape have everywhere affected the natural vegetation. The current dataset informs ELUs with landcover data, bringing them to earth by telling us what is actually on the ground. We may use this dataset to map ecological systems, which are dynamic assemblages of communities that occur in a mosaic on the landscape, and that are linked by shared ecological processes and environmental gradients.
DSLland, Version 3, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents terrestrial and wetland ecological systems of the Northeast (based on NatureServe's Ecological Systems Classifications) combined with human-modified land types such as roads and agriculture. It is a substantial revision of the map of the Northeast Terrestrial Wildlife Habitat Classification System (developed by The Nature Conservancy and the northeastern state wildlife agencies) that reflect newer information on development, wetlands, and streams.
Digital Elevation Model, Northern Appalachian by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents elevation for the Northern U.S. and Canada. This Digital Elevation Model (DEM) was created by mosaicing two data sets: 1. U.S. Geological Survey's (USGS) 30 meter National Elevation Dataset (NED) 2. The Canadian Digital Elevation Data, Level 1 (CDED1)
Bird Conservation Regions, Northern Appalachians by abstract, last updated: Jul 10, 2020 02:50 PM
Bird Conservation Regions (BCRs) are ecologically distinct regions in North America with similar bird communities, habitats, and resource management issues. These ecoregions encompass areas that are similar in their biotic (e.g., plant and wildlife) and abiotic (e.g., soils, drainage patterns, temperature, and annual precipitation) characteristics.
Bedrock Geology, Northern Appalachians by abstract, last updated: Jul 10, 2020 02:50 PM
Developed by The Nature Conservancy Eastern Division. We grouped bedrock units on the bedrock geology maps of ME, NH, VT, MA, CT, RI, NY, PA, NJ, and MD into seven general classes. We based our scheme on broad classification schemes developed by other investigators which emphasize chemistry and texture, and on bedrock settings that are important to many ecological communities, particularly to herbaceous associations.
Aspect, Northeast by abstract, last updated: Jul 10, 2020 02:50 PM
Aspect is the orientation of the earth's surface with respect to the sun. This dataset is a grid created from a 30 meter digital elevation model (DEM) that was split into warm and cool aspect slopes.
Northatlantic Terrestrial by abstract, last updated: Jul 10, 2020 02:50 PM
Data sets oriented around terrestrial
Terrestrial design products by abstract, last updated: Jul 10, 2020 02:50 PM
 
Probability of Development by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents the integrated probability of development between 2010-2080 based on a custom urban growth model that accounts for the type (low intensity, medium intensity and high intensity), amount and spatial pattern of development. This index represents the probability of development occurring sometime between 2010 and 2080 at the 30 m cell level. The projected amount of development in an area is downscaled from county level forecasts based on a U.S. Forest Service 2010 Resources Planning Act (RPA) assessment. The type and pattern of development is based on models of historical development and is influenced by factors such as geophysical conditions (e.g., slope, proximity to open water), existing secured lands, and proximity to roads and urban centers.
Climate Stress by abstract, last updated: Jul 10, 2020 02:50 PM
This dataset represents the climate stress metric, which is a measure of the estimated climate stress that may be exerted on a focal cell in 2080. Specifically, the climate stress metric reflects the 2080 departure from the current climate conditions that a cell may be exposed to in relation to its current climate niche breadth. Essentially, this metric measures the magnitude of climate change stress at the focal cell based on the climate niche of the corresponding ecological system and the predicted change in climate (i.e., how much is the climate of the focal cell moving away from the climate niche of the corresponding ecological system) between 2010-2080 based on the average of two climate change scenarios: RCP 4.5 and 8.5. Cells where the predicted climate suitability in the future decreases (i.e., climate is becoming less suitable for that ecological system) are considered stressed, and the stress increases as the predicted climate becomes less suitable based on the ecological system's current climate niche model. Conversely, cells where the predicted climate suitability in the future increases (i.e., climate is improving for that ecological systems) are considered unstressed and assigned a value of zero.