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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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WHISPers stands for Wildlife Health Information Sharing Partnership - event reporting system. It is a web-based repository for sharing basic information about historic and ongoing wildlife mortality (death) and morbidity (illness) events. The system possesses a searchable archive of wildlife mortality and morbidity event data that is available to the public. The information is opportunistically collected and does not reflect all the mortality events that occur in North America.
Types: Citation; Tags: Alabama, Alaska, American Samoa, Arizona, Arkansas, All tags...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Important Bird Areas (IBAs), are sites that provide essential habitat to one or more species of birds during some portion of the year (nesting areas, crucial migration stop-over sites, or wintering grounds). IBAs may be a few or even thousands of acres, but usually are discrete sites that stand out from the surrounding landscape. IBAs may include public or private lands, or both, and they may be already protected or not. IBA Protection Although the IBA program has no regulatory authority, it protects birds by making more people aware of the importance of essential habitat areas, and by promoting public and private commitment to bird-friendly land and resource management.
Abstract (from http://onlinelibrary.wiley.com/doi/10.1111/gcb.13005/abstract): Isolation of the Hawaiian archipelago produced a highly endemic and unique avifauna. Avian malaria ( Plasmodium relictum), an introduced mosquito-borne pathogen, is a primary cause of extinctions and declines of these endemic honeycreepers. Our research assesses how global climate change will affect future malaria risk and native bird populations. We used an epidemiological model to evaluate future bird–mosquito–malaria dynamics in response to alternative climate projections from the Coupled Model Intercomparison Project. Climate changes during the second half of the century accelerate malaria transmission and cause a dramatic decline...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Avian morbidity and mortality events reported in WHISPers that began in calendar year 2023. Events reported in WHISPers represent only those events that are reported to the USGS National Wildlife Health Center or the Southeastern Cooperative Wildlife Disease Studies at the University of Georgia, or that State, Federal, and Tribal partners voluntarily report into WHISPers, not legal, and marked as “Visible to the Public”.
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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The Hawaiian Islands are home to some of the world’s most culturally valuable but imperiled forest birds, including brightly colored native honeycreepers, many of which are threatened or endangered. One of the major threats these birds face is avian malaria, which is spread by a species of introduced mosquito and can have death rates exceeding 90 percent. For decades, upper mountain forests have provided refuge for Hawaiian forest birds because mosquitoes (and thus the disease) could not survive the cooler temperatures. However, warming associated with climate change could change this. Scientists used climate data and an epidemiological model to evaluate the future impacts of avian malaria on Hawaiian forest birds...
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The North American Breeding Bird Survey (BBS) (https://www.pwrc.usgs.gov/bbs/) has counted birds annually for over fifty-five years. Survey 'routes' each consist of 50 'stops' (point counts) placed along a route path. Inter-stop distances and stop locations can vary from route to route and from year to year, and precise locations of each stop are not typically recorded. This data set (and the associated R script) includes quantified uncertainty in BBS annual point count locations using digitized estimates of stop locations from the central United States. It also includes the necessary components to calculate the resulting land cover uncertainty for each annual point count (i.e., stop) and facilitates incorporation...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Ecological systems are already responding to modern changes in climate. Many species are moving in directions and at rates that correspond with recent climatic change. Understanding how species distributions and abundances are likely to be altered can inform management and planning activities resulting in more robust management decisions. We projected climate-driven changes in the abundances and distributions of 31 focal bird species in Oregon and Washington using the latest downscaled CMIP5 climate projections and corresponding vegetation model outputs. Vegetation models were informed by the results of MC2, a dynamic global vegetation model (DGVM). We mapped these future projections and integrated them here to...
The purpose of the pilot project is to trial different methods and vendors of wind power forecasting to determine the best approach to forecasting wind power in Alberta in the future. Three vendors were chosen with global forecasting experience; AWS Truewind (New York), energy & meteo systems (Germany), and WEPROG (Denmark). Each vendor will forecast for 12 geographically dispersed wind power facilities for a year (May 07 to May 08) providing a forecast covering the next 48 hours refreshed hourly. ORTECH Power was chosen to perform the quantitative analysis of the results analyzing methods, timeframes and geographical locations. Phoenix Engineering was chosen to collect all the necessary meteorological data required...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
ISLAND OF HAWAI‘I, Hawaii — Hawai‘i, the name alone elicits images of rhythmic traditional dancing, breathtaking azure sea coasts and scenes of vibrant birds flitting through lush jungle canopy. Unfortunately, the future of many native Hawaiian birds looks grim as diseases carried by mosquitoes are due to expand into higher elevation safe zones. A new study published in Global Change Biology, by researchers at the U.S. Geological Survey and the University of Wisconsin-Madison, assesses how global climate change will affect future malaria risk to native Hawaiian bird populations in the coming century. Read More in the USGS Press Release: http://www.usgs.gov/newsroom/article.asp?ID=4270#.Vjo2436rSUl
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Bio-logging is central to study of wildlife, but questions remain about minimization of effects from bio-logging devices. Rarely considered are changes bio-logging devices induce on an animal’s center of mass (COM) and resulting losses of flight control and stability. In a related paper (Katzner and Young 2024), we applied established aeronautical principles to estimate how the COM of a flying bird or bat may be affected by typical positioning of a bio-logging device on the neck, back, hips, or tail. We then adopted modified thresholds from aerospace engineering to estimate limits beyond which changes to COM result in fitness-relevant alterations to flight control and stability. Here we provide measurements for...


map background search result map search result map Important Bird Areas (IBAs) for Wyoming at 1:500,000 Vulnerability of Hawaiian Forest Birds to Climate Change Implications of climate change for avian conservation in Great Plains landscapes Wildlife Health Information Sharing Partnership-event reporting system (WHISPers) BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria fischeri BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Brachyramphus brevirostris BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria mollissima BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Falco peregrinus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Limosa lapponica BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Calidris canutus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Numenius tahitiensis BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Melanitta nigra BLM REA SNK 2010 Alaska Gap Analysis Project: Year Round Distribution Map for Ursus americanus Avian morbidity and mortality data reported to the Wildlife Health Information Sharing Partnership - event reporting system (WHISPers) in the continental United States for events beginning on or between January 1, 2023 and December 31, 2023 Location and land cover uncertainty associated with stop-level data from the North American Breeding Bird Survey (BBS) Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats Important Bird Areas (IBAs) for Wyoming at 1:500,000 BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Calidris canutus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Numenius tahitiensis BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Falco peregrinus BLM REA SNK 2010 Alaska Gap Analysis Project: Year Round Distribution Map for Ursus americanus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria fischeri BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Brachyramphus brevirostris BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria mollissima BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Limosa lapponica BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Melanitta nigra Implications of climate change for avian conservation in Great Plains landscapes Location and land cover uncertainty associated with stop-level data from the North American Breeding Bird Survey (BBS) Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats Avian morbidity and mortality data reported to the Wildlife Health Information Sharing Partnership - event reporting system (WHISPers) in the continental United States for events beginning on or between January 1, 2023 and December 31, 2023 Wildlife Health Information Sharing Partnership-event reporting system (WHISPers)