294 resultados para Idaho
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The Short-eared Owl (Asio flammeus) is an open-country species breeding in the northern United States and Canada, and has likely experienced a long-term, range-wide, and substantial decline. However, the cause and magnitude of the decline is not well understood. We set forth to address the first two of six previously proposed conservation priorities to be addressed for this species: (1) better define habitat use and (2) improve population monitoring. We recruited 131 volunteers to survey over 6.2 million ha within the state of Idaho for Short-eared Owls during the 2015 breeding season. We surveyed 75 transects, 71 of which were surveyed twice, and detected Short-eared Owls on 27 transects. We performed multiscale occupancy modeling to identify habitat associations, and performed multiscale abundance modeling to generate a state-wide population estimate. Our results suggest that within the state of Idaho, Short-eared Owls are more often found in areas with marshland or riparian habitat or areas with greater amounts of sagebrush habitat at the 1750 ha transect scale. At the 50 ha point scale, Short-eared Owls tend to associate positively with fallow and bare dirt agricultural land and negatively with grassland. Cropland was not chosen at the broader transect scale suggesting that Short-eared Owls may prefer more heterogeneous landscapes. On the surface our results may seem contradictory to the presumed land use by a “grassland” species; however, the grasslands of the Intermountain West, consisting largely of invasive cheatgrass (Bromus tectorum), lack the complex structure shown to be preferred by these owls. We suggest the local adaptation to agriculture represents the next best habitat to their historical native habitat preferences. Regardless, we have confirmed regional differences that should be considered in conservation planning for this species. Last, our results demonstrate the feasibility, efficiency, and effectiveness of utilizing public participation in scientific research to achieve a robust sampling methodology across the broad geography of the Intermountain West.
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Models of snow processes in areas of possible large-scale change need to be site independent and physically based. Here, the accumulation and ablation of the seasonal snow cover beneath a fir canopy has been simulated with a new physically based snow-soil vegetation-atmosphere transfer scheme (Snow-SVAT) called SNOWCAN. The model was formulated by coupling a canopy optical and thermal radiation model to a physically based multilayer snow model. Simple representations of other forest effects were included. These include the reduction of wind speed and hence turbulent transfer beneath the canopy, sublimation of intercepted snow, and deposition of debris on the surface. This paper tests this new modeling approach fully at a fir site within Reynolds Creek Experimental Watershed, Idaho. Model parameters were determined at an open site and subsequently applied to the fir site. SNOWCAN was evaluated using measurements of snow depth, subcanopy solar and thermal radiation, and snowpack profiles of temperature, density, and grain size. Simulations showed good agreement with observations (e.g., fir site snow depth was estimated over the season with r(2) = 0.96), generally to within measurement error. However, the simulated temperature profiles were less accurate after a melt-freeze event, when the temperature discrepancy resulted from underestimation of the rate of liquid water flow and/or the rate of refreeze. This indicates both that the general modeling approach is applicable and that a still more complete representation of liquid water in the snowpack will be important.
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This paper offers general guidelines for the development of effective visual languages. That is, languages for constructing diagrams that can be easily and readily interpreted and manipulated by the human reader. We use these guidelines first to examine classical AND/OR trees as a representation of logical proofs, and second to design and evaluate a visual language for representing proofs in LofA: a Logic of Dependability Arguments, for which we provide a brief motivation and overview.
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The development of a combined engineering and statistical Artificial Neural Network model of UK domestic appliance load profiles is presented. The model uses diary-style appliance use data and a survey questionnaire collected from 51 suburban households and 46 rural households during the summer of 2010 and2011 respectively. It also incorporates measured energy data and is sensitive to socioeconomic, physical dwelling and temperature variables. A prototype model is constructed in MATLAB using a two layer feed forward network with back propagation training which has a 12:10:24 architecture. Model outputs include appliance load profiles which can be applied to the fields of energy planning (microrenewables and smart grids), building simulation tools and energy policy.
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Highly heterogeneous mountain snow distributions strongly affect soil moisture patterns; local ecology; and, ultimately, the timing, magnitude, and chemistry of stream runoff. Capturing these vital heterogeneities in a physically based distributed snow model requires appropriately scaled model structures. This work looks at how model scale—particularly the resolutions at which the forcing processes are represented—affects simulated snow distributions and melt. The research area is in the Reynolds Creek Experimental Watershed in southwestern Idaho. In this region, where there is a negative correlation between snow accumulation and melt rates, overall scale degradation pushed simulated melt to earlier in the season. The processes mainly responsible for snow distribution heterogeneity in this region—wind speed, wind-affected snow accumulations, thermal radiation, and solar radiation—were also independently rescaled to test process-specific spatiotemporal sensitivities. It was found that in order to accurately simulate snowmelt in this catchment, the snow cover needed to be resolved to 100 m. Wind and wind-affected precipitation—the primary influence on snow distribution—required similar resolution. Thermal radiation scaled with the vegetation structure (~100 m), while solar radiation was adequately modeled with 100–250-m resolution. Spatiotemporal sensitivities to model scale were found that allowed for further reductions in computational costs through the winter months with limited losses in accuracy. It was also shown that these modeling-based scale breaks could be associated with physiographic and vegetation structures to aid a priori modeling decisions.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Memoirs are as varied as human emotion and experience, and those published in the distinguished American Lives Series run the gamut. Excerpted from this series (called “splendid” by Newsweek) and collected here for the first time, these dispatches from American lives take us from China during the Cultural Revolution to the streets of New York in the sixties to a cabin in the backwoods of Idaho. In prose as diverse as the stories they tell, writers such as Floyd Skloot, Ted Kooser, Peggy Shumaker, and Lee Martin, among many others, open windows to their own ordinary and extraordinary experiences. John Skoyles tells how, for his Uncle Fred, a particular “Hard Luck Suit” imparted misfortune. Brenda Serotte describes a Turkish grandmother who made her living reading palms, interpreting cups, and prescribing poultices for the community. In “Son of Mr. Green Jeans,” Dinty W. Moore views fatherhood through the lens of pop culture. Janet Sternburg’s Phantom Limb muses on the dilemmas of a child caring for a parent. Whether evoking moments of death or disease, in family or marriage, history, politics, religion, or culture, these glimpses into singular American lives come together in a richly textured, colorful patchwork quilt of American life.
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• Chronic Wasting Disease Update: Wisconsin, Minnesota, South Dakota, Colorado; National CWD Management – USDA & USDI National Plan for Assisting States, Federal Agencies, and Tribes in Managing Chronic Wasting Disease in Free-ranging and Captive Cervids • West Nile virus (WNV) reaches the Pacific coast • West Nile Virus in Blue Jays • Idaho Brucellosis Linked to Wildlife: All of the epidemiological and laboratory information clearly indicates that brucellosis-infected elk transmitted the disease to the cattle herd. • Tularemia caused a die-off of captured wild prairie dogs this summer at a Texas commercial exotic animal facility that distributes the animals for sale as pets. • Raptors can acquire avian vacuolar myelinopathy (AVM) via ingestion of other affected birds. • House Finch Mycoplasmosis: bacterial eye disease of house finches • Raccoon Rabies report • Toxoplasmosis – The newest finding regarding sea otters in California is the importance of toxoplasmosis as a mortality factor. Toxoplasma gondii is a protozoan parasite that can invade visceral organs and the central nervous system to cause acute, disseminated tissue necrosis and fatal meningoencephalitis in susceptible animals. In recent years, 36% of dead sea otters examined have been infected. Another tissue-invading protozoan, Sarcocystis neurona, also was found in 4% of the otters. • Recovery of remnant populations of the endangered black-footed ferret have been hampered by sylvatic plague, which is caused by the bacterium Yersinia pestis. • Dr. Samantha Gibbs received the Wildlife Disease Association’s Student Research Recognition Award. Dr. Cynthia Tate was selected by the American Association of Veterinary Parasitologists to receive the Best Student Presentation Award. Dr. Andrea Varela won second place in the Student Presentation Award for her presentation at the meeting of the American Association Veterinary Parasitologists. Mr. Michael Yabsley received the Wildlife Disease Association Student Scholarship and the S.A. Ewing Vectorborne Parasitology Award from the University of Georgia’s College of Veterinary Medicine.