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The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite habitat modeling and help maintain a record of the various input data, pre- and post-processing steps and modeling options incorporated in the construction of a species distribution model through the established workflow management and visualization VisTrails software. This paper provides an overview of the VisTrails:SAHM software including a link to the open source code, a table detailing the current SAHM modules, and a simple example modeling an invasive weed species in Rocky Mountain National Park, USA.
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Locating meadow study sitesMeadow centers as recorded in the ‘Copy of sitecords_areaelev from Caruthers thesis.xls’ file delivered by Debinski in November 2012 were matched to polygons as recorded in files ‘teton97map_area.shp’ and ‘gallatin97map_area.shp’ both also delivered by Debinski in November 2012.In cases where the meadow center did not fall within a meadow polygon, if there was a meadow polygon of the same meadow TYPE nearby (judgment was used here), the meadow center was matched with the meadow polygon of same meadow TYPE. In total, 29 of 30 Gallatin meadow sites and 21 of 25 Teton meadow sites were positively located.Identifying meadow pixels for analysisThe native MODIS 250-meter grid was reprojected...
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Locating meadow study sitesMeadow centers as recorded in the ‘Copy of sitecords_areaelev from Caruthers thesis.xls’ file delivered by Debinski in November 2012 were matched to polygons as recorded in files ‘teton97map_area.shp’ and ‘gallatin97map_area.shp’ both also delivered by Debinski in November 2012.In cases where the meadow center did not fall within a meadow polygon, if there was a meadow polygon of the same meadow TYPE nearby (judgment was used here), the meadow center was matched with the meadow polygon of same meadow TYPE. In total, 29 of 30 Gallatin meadow sites and 21 of 25 Teton meadow sites were positively located.Identifying meadow pixels for analysisThe native MODIS 250-meter grid was reprojected...
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.
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Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe (239), Greasewood Sage Steppe (277), Great Plains Badlands (166), Great Plains Riparian (255), Low Density Sage Steppe (776), Medium Density Sage Steppe (783), Mixed Grass Prairie (555), Mixed Grass Prairie Burned (278), Ponderosa Pine Woodland and Shrubland (512), Riparian Floodplain (223), Semi-Desert Grassland (103), Sparsely Vegetated Mixed Shrub (252), Silver Sage Flat (70) , Silver Sage Steppe (64), and Water (246). When insufficient field data were available for a class, we augmented it through photointerpretation of...
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With joint funding from the North Central Climate Science Center (NC CSC) and NASA's Earth Science Applied Sciences Program, the NC CSC supports resource managers and their decision process through its Resource for Vulnerability Assessment, Adaptation and Mitigation Planning (ReVAMP), a collaborative research/planning effort supported by high performance computing and modeling resources. The NC CSC focuses primarily on climate data as input to the ReVAMP. In this project the NASA DEVELOP program was used to evaluate how remote sensing data sets can contribute to the ecological response models that are implemented in the ReVAMP system. This work demonstrates the utility of remote sensing in vulnerability assessment...
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Determining which species, habitats, or ecosystems are most vulnerable to climate change enables resource managers to better set priorities for conservation action. To address the need for information on vulnerability, this research project aimed to leverage the expertise of university partners to inform the North Central Climate Science Center on how to best assess the vulnerability of elements of biodiversity to climate and land use change in order to inform the development and implementation of management options. Outcomes from this activity were expected to include 1) a framework for modeling vegetation type and species response to climate and land use change, 2) an evaluation of existing alternative vegetation...
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Maintaining the native prairie lands of the Northern Great Plains (NGP), which provide an important habitat for declining grassland species, requires anticipating the effects of increasing atmospheric carbon dioxide (CO2) concentrations and climate change on the region’s vegetation. Specifically, climate change threatens NGP grasslands by increasing the potential encroachment of native woody species into areas where they were previously only present in minor numbers. This project used a dynamic vegetation model to simulate vegetation type (grassland, shrubland, woodland, and forest) for the NGP for a range of projected future climates and relevant management scenarios. Comparing results of these simulations illustrates...
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This dataset is a shapefile that contains the grid outlines and identifiers for the tiles produced by the TopoWx ("Topographical Weather/Climate") temperature dataset as applied to the USGS North Central Climate Center Domain and the surrounding area of Montana. The TopoWx dataset contains gridded daily temperature and is an interpolated spatio-temporaldataset in the same vein as the well-known PRISM (http://www.prism.oregonstate.edu) and Daymet products (http://daymet.ornl.gov). Daily Tmin and Tmax are provided at a 30-arcsec resolution (~800m) from 1948-2012 along with the latest 30-year monthly normals (1981-2010). The goals of the TopoWx project were to produce a dataset that: (1) incorporates key landscape-scale...
Abstract (from http://link.springer.com/article/10.1007/s10113-014-0585-0): Drought is a part of the normal climate variability and the life and livelihoods of the Western United States. However, drought can also be a high impact or extreme event in some cases, such as the exceptional 2002 drought that had deleterious impacts across the Western United States. Studies of long-term climate variability along with climate change projections indicate that the Western United States should expect much more severe and extended drought episodes than experienced over the last century when most modern water law and policies were developed, such as the 1922 Colorado River Compact. This paper will discuss research examining...
Categories: Publication; Types: Citation; Tags: Drought, North Central CASC
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The climate of the North Central U.S. is driven by a combination of factors, including atmospheric circulation patterns, the region’s complex topography which extends from the High Rockies to the Great Plains, and variations in hydrology. Together, these factors determine the sustainability of the region’s ecosystems and the services that they provide communities. In order to understand the vulnerability of the region’s ecosystems to change, it is necessary to have reliable projections of future climate conditions. To address this need, researchers first examined past and present variations in climate and assessed the ability of climate models to effectively project future climate conditions for the region. Second,...
Abstract (from http://www.srmjournals.org/doi/abs/10.2111/REM-D-13-00079.1): Big sagebrush, Artemisia tridentata Nuttall (Asteraceae), is the dominant plant species of large portions of semiarid western North America. However, much of historical big sagebrush vegetation has been removed or modified. Thus, regeneration is recognized as an important component for land management. Limited knowledge about key regeneration processes, however, represents an obstacle to identifying successful management practices and to gaining greater insight into the consequences of increasing disturbance frequency and global change. Therefore, our objective is to synthesize knowledge about natural big sagebrush regeneration. We identified...


map background search result map search result map Projecting the Future Encroachment of Woody Vegetation into Grasslands of the Northern Great Plains by Simulating Climate Conditions and Possible Management Actions Regional Short- and Long-term Climate Impacts on Northern Rocky Mountain and Great Plains Ecosystems Understanding Extreme Climate Events in the North Central U.S. Assessing the Vulnerability of Vegetation to Future Climate in the North Central U.S. TopoWx ("Topographical Weather/Climate") temperature dataset tile grid Hydrological Analysis of Greater Yellowstone Ecosystem Montane Meadow Condition using MODIS data Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse Training Points An analysis of montane meadow drying in the Greater Yellowstone Ecosystem using remotely sensed NDVI from the MODIS period of record (lsp metrics) Hydrological Analysis of Greater Yellowstone Ecosystem Montane Meadow Condition using MODIS data An analysis of montane meadow drying in the Greater Yellowstone Ecosystem using remotely sensed NDVI from the MODIS period of record (lsp metrics) Training Points Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse Projecting the Future Encroachment of Woody Vegetation into Grasslands of the Northern Great Plains by Simulating Climate Conditions and Possible Management Actions Regional Short- and Long-term Climate Impacts on Northern Rocky Mountain and Great Plains Ecosystems Understanding Extreme Climate Events in the North Central U.S. Assessing the Vulnerability of Vegetation to Future Climate in the North Central U.S. TopoWx ("Topographical Weather/Climate") temperature dataset tile grid