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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers ( Show direct descendants )
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Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015
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....
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cascade Mountains,
Cle Elum,
Data Visualization & Tools,
Forests,
Kittatas County,
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.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Birds,
Culex mosquitoes,
Downscaled climate models,
Hawaiian honeycreepers,
Mona Loa,
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.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Forests,
Landscapes,
Southeast CASC,
climate change,
habitat connectivity,
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...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service
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.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climatology,
Gulf of Mexico,
Louisiana Coastal,
Plants,
Sea-Level Rise and Coasts,
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.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydraulics,
Hydrologic,
Optimization,
Rio Bravo,
Rio Grande,
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...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data Visualization & Tools,
Forests,
Idaho,
Landscapes,
Mica Creek,
Shapefile containing the boundaries of the eight Climate Adaptation Science Centers (CASCs).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
United States, U.S. Affiliated Pacific Islands,
boundaries
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),...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service
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....
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service
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,...
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.
Shapefile containing the boundary of the Northwest Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
Washington, Oregon, Idaho,
boundaries
Shapefile containing the boundary of the Alaska Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Climate Science Center,
boundaries
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...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquatic habitats,
Connecticut,
Data Visualization & Tools,
Delaware,
Fish,
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...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cascade Mountains,
Data Visualization & Tools,
Forests,
King County,
Landscapes,
Shapefile containing the boundary of the Northeast Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
boundaries
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.
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Grasslands,
Information Needs,
Kansas,
Landscapes,
We established a Landsat-derived geospatial database of unburned islands within 2,298 fires across the Inland Northwestern US (including eastern Washington, eastern Oregon, and Idaho) from 1984-2014. The detection of unburned areas within these fires is based upon a classification tree approach that uses two pre- and post-fire Landsat image pairs (see Meddens et al 2016 for details). The data set consist of unburned patches within each fire that are two pixels or larger. This database will be useful for identifying fire refugia, seed sources, and can be used as an overall metric of fire impacts across the northwestern US. (Meddens, A.J., Kolden, C.A., & Lutz, J.A. (2016). Detecting unburned areas within wildfire...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Fire,
Idaho,
Landscapes,
Shapefile containing the boundary of the South Central Climate Adaptation Science Center (CASC).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
Texas, Oklahoma, New Mexico, Louisiana,
boundaries
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