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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers ( Show direct descendants )

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This data set describes the predicted daily climate (temperature and rainfall) for low, mid, and high-elevations on Mona Loa, Island of Hawaii from 2098-2100. Climate predictions are based on 3 alternative climate scenarios (RCP 4.5, A1B, and RCP 8.5) - see Liao et al. 2015 for more details and climate references. The predicted daily risk of susceptible Hawaiian honeycreepers are based on the daily climate data, mosquito abundance and other factors. Also see Samuel et al. 2011 The dynamics, transmission, and population impacts of avian malaria in native Hawaiian birds: a modeling approach. Ecological Applications 21:2960-2973 for description of the epidemiological model used for avian malaria risk predictions.
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This data set contains links that are important to each species' habitat network. Those important links are scored based on the percent currently under protection status, projected change in climate suitability by the middle of the 21st century, and projected change in percent urbanized by the middle of the 21st century. Important links were identified from all links in the networks of each species based on their Integral Index of Connectivity (dIIC). Any links with dIIC scores > 0.9 or which connected to nodes with dIIC > 0.9 were retained here as "important" links.
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UW_Olallie_photo_metadata & image files: These are the raw timelapse photographs. The date/time stamp is inaccurate for the camera deployed in the open (at the SNOTEL) due to a programming error. This timestamp is one day early (i.e., subtract 1 day from the timestamp when using these data). Also available is metadata for two timelapse cameras and their associated snow depth poles (two visible in each camera's field of view) deployed at Olallie Meadows SNOTEL during water year 2015. One camera was deployed in the open area that is the Olallie Meadows SNOTEL station (the snow pillow is in the field of view). The other camera was deployed in the adjacent forest, approximately 60 m to the southeast of the SNOTEL....
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Abstract Coastal marsh within Mediterranean climate zones is exposed to episodic watershed runoff and sediment loads that occur during storm events. Simulating future marsh accretion under sea level rise calls for attention to: (a) physical processes acting over the time scale of storm events and (b) biophysical processes acting over time scales longer than storm events. Using the upper Newport Bay in Southern California as a case study, we examine the influence of event-scale processes on simulated change in marsh topography by comparing: (a) a biophysical model that integrates with an annual time step and neglects event-scale processes (BP-Annual), (b) a physical model that resolves event-scale processes but...
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Shapefile containing the boundaries of the eight Climate Adaptation Science Centers (CASCs).
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UI_Mica_Location: Location metadata and meteorological and snow depth observations from met towers in the Mica Creek Experimental Forest. Data were collected at 7 different station sites at approximately half-hour intervals for water years 2003-2006, with discontinuous records due to equipment malfunction or damage. Stations were located within different forest harvest treatment sections, applied to the watershed in approximately 2001, including clear-cut harvest, partial harvest, and control sections (both second growth and old growth control forests). Site Data Citation for full description of the field campaign and sites. UI_Mica_met: Metadata and associated snow depth and SWE observations from 14 manual...
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Understanding how climate change and variability will impact grassland ecosystems is crucial for successful grassland management in the 21st century. In 2020, the U.S. Geological Survey North Central Climate Adaptation Science Center (USGS NC CASC) began a project to establish a baseline of information to best serve grassland managers (that is, those who develop grassland management plans or implement those plans on the ground) at Federal, State, and Tribal agen-cies and nongovernmental organizations to help meet regional grassland management goals. This project “A Synthesis of Climate Impacts, Stakeholder Needs, and Adaptation in Northern Great Plains Grassland Ecosystems” (hereafter, the Grasslands Synthesis Project),...
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This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
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Create an inventory of water-related models that have been developed for the Rio Grande/Bravo basin. The summary includes a description of model river extent, spatial and temporal resolution, time period, model type, and their possible application for testing environmental flows or climate change future alternatives.
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This dataset is a list of variables (in columns) corresponding to nodes in a categorical network model. Geographic variables vary according to the specific climate downscaling model used to project plant species range into the future. Continuous variables were discretized into two to five categories as required by the model, usually based on quantiles of distribution.
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Shapefile containing the boundary of the Alaska Climate Adaptation Science Center (CASC).
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Shapefile containing the boundary of the Northwest Climate Adaptation Science Center (CASC).
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Fish data on six species (black crappie (Pomoxis nigromaculatus), bluegill (Lepomis macrochirus), largemouth bass (Micropterus salmoides), northern pike (Esox lucius), walleye (Sander vitreus), and yellow perch (perca flavescens)) caught in gill nets and trap nets between 2000 and 2019 during Minnesota Department of Natural Resources (MNDNR) fisheries surveys done in the months of June through September. Fish catch and effort (number of nets set overnight) comes from over 1,000 Minnesota lakes. In addition to fisheries data, we included additional information concerning lake characteristics, predicted water temperature, and watershed land use. Lake area and maximum depth were obtained from MNDNR public databases....
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We reviewed existing and planned adaptation activities of federal, tribal, state, and local governments and the private sector in the United States (U.S.) to understand what types of adaptation activities are underway across different sectors and scales throughout the country. Primary sources of review included material officially submitted for consideration in the upcoming 2013 U.S. National Climate Assessment and supplemental peer-reviewed and grey literature. Although substantial adaptation planning is occurring in various sectors, levels of government, and the private sector, few measures have been implemented and even fewer have been evaluated. Most adaptation actions to date appear to be incremental changes,...
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Shapefile containing the boundary of the Northeast Climate Adaptation Science Center (CASC).
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This dataset represents results from this study attributed to the Hydrologic Unit Code (HUC) 12 watershed boundaries. Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results...
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Daily snow depth values from the UW Snoqualmie Pass site. A timelapse camera and 3 snow depth poles were deployed at the forest plot during water year 2015. Manual snow stake observations were taken in the open plot. This comparison of snow depth between the open and forest uses the daily snow depth data observed with the snow stake, rounded to 5cm, compared to the average of all visible pole values in the forest (read by eye from photos), also rounded to 5 cm. These data have been processed, aggregated and rounded. Raw photographs of the forest poles are also available. UW_Snoqualmie_snow_camera Attributes: Site - Snoqualmie, Cover - Forest or open, WY - water year 2015, Date - yyyy-mm-dd, Method - snow...
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The broadly shared information needs for grassland managers in the North Central region to meet conservation goals in a changing climate are presented and ranked as highly relevant, somewhat relevant, or not relevant for federal, state, tribal, and non-governmental grassland-managing entities.
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Shapefile containing the boundary of the South Central Climate Adaptation Science Center (CASC).
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This shapefile approximates the area less than 20 km offshore of the North Pacific Coastline as defined by the "World Country Boundaries (Generalized)" shapefile distributed by ESRI as part of their Data & Maps data series.


map background search result map search result map Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Timelapse photos, locations, and associated metadata for Snoqualmie Pass, WA A comprehensive review of climate adaptation in the United States: more than before, but less than needed 2018 Alaska Climate Adaptation Science Center Boundary 2018 Northwest Climate Adaptation Science Center Boundary 2018 South Central Climate Adaptation Science Center Boundary 2018 Northeast Climate Adaptation Science Center Boundary Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Merged traits used to fit the Hawaiian native plant vulnerability model Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) River extent of water related models in the Rio Grande/Bravo basin Fishtail huc12: Indices and supporting data characterizing the current (1961-2000) and future (2041-2080) risk to fish habitat degradation in the Northeast Climate Science Center region Important links for Black bear, Rafinesque's big-eared bat, and timber rattlesnake Broadly Shared Information Needs Among Grassland Managers in the North Central Region Multi-Decadal Simulation of Marsh Topography Under Sea Level Rise and Episodic Sediment Loads Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models Grassland Management Priorities for the North Central Region Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Timelapse photos, locations, and associated metadata for Snoqualmie Pass, WA Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Multi-Decadal Simulation of Marsh Topography Under Sea Level Rise and Episodic Sediment Loads Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) 2018 Northwest Climate Adaptation Science Center Boundary Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models River extent of water related models in the Rio Grande/Bravo basin Merged traits used to fit the Hawaiian native plant vulnerability model 2018 South Central Climate Adaptation Science Center Boundary Broadly Shared Information Needs Among Grassland Managers in the North Central Region Grassland Management Priorities for the North Central Region Important links for Black bear, Rafinesque's big-eared bat, and timber rattlesnake 2018 Northeast Climate Adaptation Science Center Boundary Fishtail huc12: Indices and supporting data characterizing the current (1961-2000) and future (2041-2080) risk to fish habitat degradation in the Northeast Climate Science Center region 2018 Alaska Climate Adaptation Science Center Boundary A comprehensive review of climate adaptation in the United States: more than before, but less than needed