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Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cummulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Weather suitability index was calculated by summing the weather terms in the model. Calculated for 1991 through 2009 based on 800 meter PRISM weather data. Data are a list of points in comma separated text format. Point coordinates...
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Projected current and future distributions of two tree species, Pinus albicaulis (Whitebark pine), Artemisia tridentata (Big Sagebrush), based on empirical bioclimatic models. Many recent changes in tree mortality, tree species distributions, and tree growth rates have been linked to changes in climate. Given that future climatic changes will likely surpass those experienced in the recent past, trees will likely face additional challenges as temperatures continue to rise and precipitation regimes shift. Managing forests in the face of climate change will require a basic understanding of which tree species will be most vulnerable to climate change and in what ways they will be vulnerable. We assessed the relative...
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This dataset provides an estimate of 2016 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data with independent variables that influence cheatgrass germination and growth into a regression-tree model. Individual pixel values range from 0 to 100 with an overall mean value of 15.4 and a standard deviation of 15.0. A mask covers areas not classified as shrub/scrub or grass/herbaceous by the 2001 National Land Cover Database. The mask also covers areas higher than 2000 meters in elevation because cheatgrass is unlikely to exist at more than 2% cover above this threshold. Cheatgrass is an invasive grass that has invaded...
Categories: Data; Types: Raster; Tags: Northwest CASC, Plants, Wildlife and Plants
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These 1830 maps contain projected current and future change in habitat suitability for 366 species under the Third Generation Coupled Global Climate Model (CGCM 3.1) and Hadley Centre Coupled Model, version 3 (HADCM3). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution...
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The dataset contains a time series (2000-2013) of cheatgrass percent cover maps covering the western and central areas of the northern Great Basin. The original time series (2000 to 2010) has been extended to include years 2011, 2012, and 2013. The additional maps were built by applying satellite data from their respective years to model parameters developed from the 2000 to 2010 model
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This data set includes a dropped-edge analysis of grassland and forest networks in the South Central United States based on land cover data from 2006 and graph theory to evaluate Landscape Resistance to Dispersal (LRD). LRD represents the degree to which habitat availability limits species movement. LRD decreases as habitat availability increases and increases as habitat availability decreases. This data set includes a range of LRD thresholds to represent species with different dispersal abilities and responses to landscape structure. A threshold indicates the highest LRD that still allows dispersal by a particular group of species. LRD thresholds are included in the data set, with low values representing connectivity...
This data package contains tables summarizing data collected during standardized gill net sampling conducted since 1957 and is part of the collection "Cornell Oneida Lake Data". The Cornell Biological Field Station (CBFS) serves as a primary field site for aquatic research at Cornell University (more information can be found at http://cbfs.dnr.cornell.edu/index.html) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences. The centerpiece of the station's research program is a 60-year database on the food web of Oneida Lake, New York, that has been collected with support from the Cornell University Brown Endowment and from the New York State Department of Environmental Conservation....
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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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This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
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This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes Long-TERM Ecological Research Program (https://lter.limnology.wisc.edu/), the Minnesota department of Natural Resources, and the Global Lake Ecological Observatory Network (gleon.org). This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
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Maple syrup is produced from the sap of sugar maple collected in the late winter and early spring. Native American tribes have collected and boiled down sap for centuries, and the tapping of maple trees is a cultural touchstone for many people in the northeast and Midwest. Because the tapping season is dependent on weather conditions, there is concern about the sustainability of maple sugaring as climate changes throughout the region. Our research addresses the impact of climate on the quantity and quality of maple sap used to make maple syrup. Sap was sampled at 6 sites across the native range of sugar maple over 2 years as part of the ACERnet collaboration. At each site we sampled 15-25 mature sugar maple trees,...
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This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. The dataset also includes Lake Mendota model erformance as measured as root-mean squared errors relative to temperature observations during the test period. This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
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Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
Although climate change is an important factor affecting inland fishes globally, a comprehensive review of how climate change has impacted and will continue to impact inland fishes worldwide does not currently exist. We conducted an extensive, systematic primary literature review to identify peer-reviewed publications with projected and documented examples of climate change impacts on inland fishes globally. Since the mid-1980s, scientists have projected the effects of climate change on inland fishes, and more recently, documentation of climate change impacts on inland fishes has increased. Of the thousands of title and abstracts reviewed, we selected 624 publications for a full text review: 63 of these publications...
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Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert...
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The “Dieoff” contains every year’s cheatgrass dieoff maps as .png files. This also contains the Dieoff Probability map, also as a .png file.
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Current (1980-2009) and future (2035-2064) bird abundance estimates from a boosted regression tree (BRT) model for 31 avian species in Oregon and Washington state based on avian point count data and eBird data (www.ebird.org) together with climate covariates, and vegetation covariates driven by MC2, a dynamic global vegetation model (DGVM). Current climate data was based on PRISM (www.prism.oregonstate.edu/). Future climate data was based on downscaled projections (4km) of the GCMUSED global climate model developed by the Multivariate Adaptive Constructed Analogs (MACA) project. This downscaled data is part of the MACAv1-METDATA dataset (maca.northwestknowledge.net/) for the Representative Concentration Pathway...
Categories: Data; Types: GeoTIFF, Raster; Tags: Birds, Brewer's Sparrow (Spizella breweri), Brown Creeper (Certhia americana), Chipping Sparrow (Spizella passerina), Data Visualization & Tools, All tags...


map background search result map search result map Mapping Cheatgrass Percent Cover in the northern Great Basin using a Regression-tree Model Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Northern Rockies Study Area Projected past and future habitat suitability for 366 species, 1961-2099, using CGCM31 and HADCM3 climate models Urban Growth Projection for DSL-SAMBI Projected current and future distributions for Big Sagebrush and Whitebark Pine tree species the Pacific Northwest Near-real-time cheatgrass percent cover in the northern Great Basin, USA--2016 Potential climate change impacts on Canada lynx connectivity in the U.S. Northern Rockies Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Dropped-edge analysis of terrestrial connectivity of grassland networks in the South Central United States based on the National Land Cover Database from 2006 Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic to Climate Adaptations in Native and Reintroduced Populations-SNP Matrix Sap Quality at Study Sites in the Northeast Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) Process-guided deep learning water temperature predictions: 4 Training data Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic to Climate Adaptations in Native and Reintroduced Populations-SNP Matrix Process-guided deep learning water temperature predictions: 4 Training data Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) Mapping Cheatgrass Percent Cover in the northern Great Basin using a Regression-tree Model Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Northern Rockies Study Area Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Projected current and future distributions for Big Sagebrush and Whitebark Pine tree species the Pacific Northwest Near-real-time cheatgrass percent cover in the northern Great Basin, USA--2016 Potential climate change impacts on Canada lynx connectivity in the U.S. Northern Rockies Urban Growth Projection for DSL-SAMBI Sap Quality at Study Sites in the Northeast Dropped-edge analysis of terrestrial connectivity of grassland networks in the South Central United States based on the National Land Cover Database from 2006 Projected past and future habitat suitability for 366 species, 1961-2099, using CGCM31 and HADCM3 climate models