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The global mean surface temperature increased 0.85°C during the period 1880 – 2012. Some climate models predict an additional warming of up 2 to 4 ◦ C over the next 100 years for the primary breeding grounds for North American ducks. Such an increase has been predicted to reduce mid - continent breeding duck populations by >70%. Managing continental duck populations in the face of climate change requires understanding how waterfowl have responded to historical spatio - temporal climatic variation. However, such responses to climate may be obscured by how ducks respond to variation in land cover. We estimated effects of climate on settlement patterns of breeding ducks in the Prairie - Parkland Region (PPR), boreal...
Categories: Publication;
Types: Citation,
Report;
Tags: Alaska CASC,
Birds,
Wildlife and Plants,
adaptive management,
agriculture,
This dataset consists of the current distribution (2000s) of mangrove forests in the southeastern U.S. This dataset was created from the current best available mangrove data on a state specific basis. Florida mangrove data was extracted from Florida Landuse Land Cover Classification System (FLUCCS). For Louisiana, we used observations of mangrove stands from aerial surveys by Michot et al. (2010). Mangrove presence in Texas came from maps produced by Sherrod & McMillan (1981) and the NOAA Benthic Habitat Atlas of Coastal Texas (Finkbeiner et al. 2009). Please note that this map depicts the distribution of mangrove forests and not mangrove individuals. More detailed information on this dataset is available in Osland...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
These data represent stream temperature observation locations for a portion of a larger study area known as the Great Northern Landscape Conservation Cooperative (GNLCC) https://www.fws.gov/science/catalog. These data were collected and processed as part of the NorWeST stream temperature project http://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.htmlThese thermograph locations and the attendant temperature observations were used as the baseline data for the NorWeST stream temperature modeling project. As a result, modeled temperatures will be most reliable in areas with the greatest density of thermographs. These data reside in ESRI shapefile format, ArcGIS version 9.3. The point shapefile extents correspond to...
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section contains observations related to the amount and quality of water in the Delaware River Basin. Data from a subset of reservoirs in the basin include observed daily depth-resolved water temperature, water levels, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Observations were compiled from a variety of sources, including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream...
Efforts to model and predict long-term variations in climate-based on scientific understanding of climatological processes have grown rapidly in their sophistication to the point that models can be used to develop reasonable expectations of regional climate change. This is important because our ability to assess the potential consequences of a changing climate for particular ecosystems or regions depends on having realistic expectations about the kinds and severity of change to which a region may be exposed.The fifth phase of the Coupled Model Intercomparison Project (CMIP5) is a collaborative climate modeling research effort coordinated by the World Climate Research Programme (WCRP). This is the most recent phase...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
CMIP5,
Conservation NGOs,
Variable Infiltration Capacity model results for several hydroclimatological variables for the Arkansas and Canadian River Basin of Oklahoma. Inputs to models were Daymet climate observations as well as the CCSM4, MIROC5, and MPI ESM LR Global Climate Models using Representative Concentration Pathways 2.6, 4.5 and 8.5.
This downloadable PDF research feature summarizes the Pacific Islands Climate Science Center-supported project "Climate Change Research in Support of Hawaiian Ecosystem Management: An Integrated Approach". The key goals of this project were 1) to understand how changes in the Earth’s future climate system will affect the frequency and severity of extreme weather events in Hawai`i, 2) to support studies of the ecological impacts of climate change on native Hawaiian plants and animals and 3) to provide information needed by natural resource managers charged with preserving native biodiversity.
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/2015GL067613/full): This empirical study examines the influence of precipitation, temperature, and antecedent soil moisture on upper Colorado River basin (UCRB) water year streamflow over the past century. While cool season precipitation explains most of the variability in annual flows, temperature appears to be highly influential under certain conditions, with the role of antecedent fall soil moisture less clear. In both wet and dry years, when flow is substantially different than expected given precipitation, these factors can modulate the dominant precipitation influence on streamflow. Different combinations of temperature, precipitation, and soil moisture...
Categories: Publication;
Types: Citation;
Tags: Colorado River,
Drought,
Drought, Fire and Extreme Weather,
Rivers, Streams and Lakes,
Southwest CASC,
This data set includes paired air and water temperature data from 204 sites throughout the southern Appalachian region of the United States. Sites were located in randomly selected subwatersheds identified as capable of supporting populations of brook trout. Located at the downstream outlet of the subwatersheds, each site consisted of a logger placed underwater paired with a logger affixed to the bank or a tree. Stream and air temperatures were measured every 30 minutes using the remote logger system. Loggers were deployed from 2010 to 2015. The paired air and water temperatures were summarized into daily and weekly minimum, maximum, and mean values. Site information is included for the temperature data, including...
Categories: Data;
Tags: Appalachian Region,
Southeastern US,
brook trout,
climatologyMeteorologyAtmosphere,
environment,
The Rio Grande cutthroat trout is New Mexico’s state fish; but habitat loss and non-native trout invasions threaten the persistence of this fish throughout the remaining 12% of its historic range. Stakeholders, including state agencies, federal agencies, Tribal nations, Pueblos, and private groups are particularly concerned about the impact that non-native brown trout have on native cutthroat trout. This project will be the first to demonstrate how non-native brown trout negatively affect Rio Grande cutthroat trout populations. The project has two primary objectives: 1) compare the health and characteristics of native Rio Grande Cutthroat Trout in areas both with and without invasive brown trout in cold and warm...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Completed,
Fish,
Fish,
The Russian River Watershed (RRW) covers about 1,300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Hydrology,
Russian River,
USGS Science Data Catalog (SDC),
United States,
The U.S. Geological Survey maintains a program of water-quality studies in San Francisco Bay (CA) that began in 1969. This USGS data release archives and makes available all measurements from 1969-2015. Water-quality constituent measurements include salinity, temperature, light attenuation coefficient, and concentrations of chlorophyll-a, dissolved oxygen, suspended particulate matter, and dissolved inorganic nutrients (nitrate, nitrite, ammonium, phosphate and silicate). Since the mid-1990s, sampling was conducted at least monthly at 37 fixed sampling locations along a 145-km transect from lower South San Francisco Bay to the lower Sacramento River. A map and table of sampling locations are included in the Attached...
Categories: Data;
Types: Citation;
Tags: San Francisco Bay, California,
USGS Science Data Catalog (SDC),
chlorophyll-a,
dissolved oxygen,
nutrients,
These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2 quadrat frames, locations and elevations of those sampling frames, slope and aspect, sample dates, temperature and precipitation data, and flood frequency parameters were either recorded in the field or calculated. Annual and seasonal climate variables were estimated from eight weather stations distributed along the river corridor...
To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the maximum air temperature (degrees C) for June, July, and August using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical summer temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...
Daily maximum water temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish species. This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper DRB. The modeling approach includes process-guided deep learning and data assimilation (Zwart et al., 2023). The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7). In combination with data provided in Oliver et al. (2022),...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
NOTE: The data are available online four times based on four different attributes (the current, plus 2 degrees C, plus 4 degrees C, and plus 6 degrees C probability of occurrence), the dataset is the same and the download includes the layer files for all the attributes, you do NOT need to download the data more than once.This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. Brook Trout probability of occurrence is intended to provide predictions of occupancy (probability of presence)...
This dataset is one part of a larger field dataset collected during March - May 2015 along the Sacramento River, near Colusa, CA. This particular dataset contains water-surface elevation and temperature data from 35 stationary pressure transducers spaced approximately every few kilometers along the Sacramento River upstream and downstream of Colusa, CA. The locations of the transducers were determined with RTK GPS with high precisions in both horizontal and vertical dimensions. The water-surface elevations were determined from the transducer pressure readings by using the nearest of six deployed barometric transducers, typically located within less than 10 kilometers.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: JPL,
NASA,
Sacramento River,
river,
temperature,
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