Skip to main content
Advanced Search

Filters: Tags: UMass (X)

12 results (119ms)   

View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
Soil pH measures acidity, which affects nutrient uptake by plants. The most common soil laboratory measurement of pH is the 1:1 water method. A crushed soil sample is mixed with an equal amount of water, and a measurement is made of the suspension. For each soil layer, this attribute is actually recorded as three separate values in the database. A low value and a high value indicate the range of this attribute for the soil component. A "representative" value indicates the expected value of this attribute for the component. For this soil property, only the representative value is used. A weighted average aggregation method was used to aggregate soil components within a 0-30 cm depth range.The dataset was derived...
thumbnail
Hydrography represents stream centerlines and off centerlines with greater than 30 hectare flow accumulation for the Northeast region.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.htmlThe 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...
thumbnail
Soil depth (cm) affects communities primarily because shallow soils (usually on steep slopes or ridgetops) limit deep-rooted plants. A "restrictive layer" is a nearly continuous layer that has one or more physical, chemical, or thermal properties that significantly impede the movement of water and air through the soil or that restrict roots or otherwise provide an unfavorable root environment. if no restrictive layer is described in a map unit, it is represented by the ">200' depth class, This attribute is actually recorded as three separate values in the database. A low value and a high value indicate the range of this attribute for the soil component. A "representative" value indicates the expected value of this...
thumbnail
This dataset was developed as part of the Designing Sustainble Landscapes project led by Professor Kevin McGarigal of UMass Amherst and sponsored by the North Atlantic Landscape Conservation Cooperative (www.northatlanticlcc.org); for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.htmlThis dataset was last updated 02/2017. The revised version incorporates the addition of a simplified version of The Nature Conservancy's Northeast lakes and ponds classification, visit https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/freshwater/Pages/Northeast-Lakes.aspx for more details.This dataset represents terrestrial and wetland...
thumbnail
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/)....
thumbnail
The Northeast Ecological System dataset was last updated: 7/2014This 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. Download includes Ecosystem Type, Macrogroup, and Formation, you do not need to download each individually.This dataset was created by substantially modifying The Nature Conservancy’s Northeast Terrestrial Wildlife Habitat Classification System (NETHCS) using these steps:-Replaced the National Land Cover Database (NLCD) ‘roads’ embedded in the NETHCS with more accurate roads and trains that are distinguished from developed classes-Removed...
thumbnail
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...
thumbnail
Substrate mobility measures the realized mobility of the physical substrate, due to both substrate composition (i.e. sand) and exposure to forces (wind and water) that transport material. This is an important attribute of certain dynamic systems (e.g., coastal dune systems) and is given as an index of mobility (1=stable , 10=highly mobile, values 6, 7, 8, and 10 do not occur in the Northeast region). Substrate mobility was derived from a custom algorithm based on the ESMplus and National Land Cover Database (NLCD) classes and National Wetlands Inventory (NWI) polygons.
thumbnail
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. To create this dataset, the Woods Hole North...
thumbnail
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...
thumbnail
Available water supply (AWS) is the total volume of water (in centimeters) that should be available to plants when the soil, inclusive of rock fragments, is at field capacity. AWS is calculated as the available water capacity times the thickness of each soil horizon to a specified depth (25 cm). The composition of the each component in the map unit is recorded as a percentage. A composition of 60 indicates that the component typically makes an approcimately 60 percent of the the map unit. A weighted average aggregation method of all component values was computed, with percent composition as the weighing factor. The dataset was derived from the U.S. Department of Agriculture, Natural Resources Conservation Service...


    map background search result map search result map Imperviousness, Northeast U.S., 2010 Soil Available Water Supply Soil Depth Soil pH Substrate Mobility, Northeast Risk of Road Crossing Mortality to Wildlife - 2010 Hydrography High Resolution, 1:24,000, Northeast Road Traffic, Northeast 2012 Forest Above-ground Biomass, Northeast Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Ecological Systems Model, New York State Local Connectivity, New York State Ecological Systems Model, New York State Local Connectivity, New York State Hydrography High Resolution, 1:24,000, Northeast Imperviousness, Northeast U.S., 2010 Soil Depth Soil pH Substrate Mobility, Northeast Risk of Road Crossing Mortality to Wildlife - 2010 2012 Forest Above-ground Biomass, Northeast Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Soil Available Water Supply Road Traffic, Northeast