367 research outputs found

    A New Model to Estimate Daily Energy Expenditure for Wintering Waterfowl

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    Current models to estimate daily energy expenditure (DEE) for free-living birds are limited to either those that use fixed thermoregulatory costs or those that more accurately estimate thermoregulatory costs, but require extensive and often logistically difficult measurements. Here, we propose a model based on basal metabolic rate (BMR), activity budgets, and site-specific energetic costs of thermoregulation that requires only simple measures of ambient temperature and wind speed to provide estimates of DEE. We use the model to calculate the DEE of Buffleheads (Bucephala albeola) wintering at six habitats that afford differing degrees of protection from exposure within Narragansett Bay, Rhode Island. Bufflehead activity budget data collected during the winters of 2001–2002 and 2002–2003, along with average temperatures and wind speeds at the sites, were used to calculate DEE that ranged from 46.9 to 52.4 kJ/hr and increased with increasing wind speed. The energetic cost of thermoregulation composed as much as 28% of total DEE and increased with wind speed. Our DEE values were 13.4% higher, and thermoregulatory costs were up to 2× higher than those calculated using an existing model that incorporates fixed thermoregulatory costs. We also saw an increase in feeding activity with increasing wind speed; sensitivity analysis of the effects of wind speed and feeding activity showed that a 1 m/sec increase in wind speed at our sites increased DEE by 2.5%, whereas a corresponding increase in feeding activity increased DEE by 4.5%. This suggests that in temperate winter habitats, increased feeding activity may have a greater impact on Bufflehead DEE than wind exposure. Site-specific model estimates of DEE could also provide additional insight into the relative contribution of environmental conditions and changes in waterfowl behavior to DEE

    Energy-Based Carrying Capacities of Bufflehead \u3cem\u3eBucephala albeola\u3c/em\u3e Wintering Habitats

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    We present a model for calculating energy-based carrying capacities for bufflehead (Bucephala albeola), a small North American sea duck wintering in coastal and estuarine habitats. Our model uses estimates of the seasonal energy expenditures that incorporate site-specific energetic costs of thermoregulation, along with available prey energy densities to calculate carrying capacities in numbers of birds per winter. The model was used to calculate carrying capacities under several foraging scenarios for bufflehead wintering at three urban and three rural sites in the coastal northeast U.S. We found that energy-based carrying capacities varied from 20 – 320 birds per site per winter (0.38 – 6.22 birds per hectare), and showed a trend towards increasing with prey energy density (r = 0.53) and with decreasing average daily energy expenditure (r2 = 0.57, p = 0.08). We found greater prey species richness at rural sites, but similar prey biomass and productivity across all sites. Bufflehead density averaged 1.89 ± 2.34 birds per hectare (range 0.38 – 6.22 birds per hectare) across the sites. Bufflehead abundance at urban sites was reduced by an average of 43.7% from that predicted using the relationship between per-hectare carrying capacity and bufflehead abundance at rural sites. This difference may arise from natural or human induced factors that act to limit sea duck populations on wintering habitats

    Habitat Characteristics Associated with the Distribution and Abundance of \u3cem\u3eHistrionicus histrionicus\u3c/em\u3e (Harlequin Ducks) Wintering in Southern New England

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    Histrionicus histrionicus (Harlequin Ducks) that winter along the east coast of North America are listed as a population of special concern in Canada, and they use several coastal wintering sites in southern New England that are subject to varying degrees of urbanization. We studied patterns of habitat use by Harlequin Ducks at 12 known wintering sites in southern New England. An average of 327 ± 114 Harlequin Ducks were found at the sites during the winters of 2001–2003. More Harlequin Ducks wintered at sites south of Cape Cod, MA that had greater mollusk (709,133 ± 504,568 versus 97,154 ± 72,427 kcal ha−1) and crustacean (27,907 ± 16,312 versus 1412 ± 1675 kcal ha−1) prey energy density, and a higher index of hunting activity (2.4 ± 1.2 versus 1.4 ± 0.5) than sites to the north. We used logistic regression analysis at 12 sites inhabited by Harlequin Ducks and 12 nearby sites of similar geomorphology that did not support Harlequin Ducks to identify habitat characteristics that best explained their distribution in southern New England. Our analysis identified two habitat characteristics that affected the likelihood a site was used by Harlequin Ducks: 1) the proportion of residential, commercial, and industrial land use within a 100-m radius of the perimeter of the site; and 2) distance to the nearest Harlequin Duck wintering site. However, other factors, including those related to their extremely low population size, need to also be considered as recommendations are developed for the conservation of east coast Harlequin Ducks

    The Development of a Pay-for-Performance Appraisal System for Municipal Agencies: A Case Study

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    Well-designed employee performance appraisal instruments assume great importance by providing agencies with information that can guide administrative and developmental decision-making about their most important asset—their human resources. Administratively, performance appraisals serve as the formal evaluation tool used by managers when making decisions about the distribution of pay increases and the promotion and demotion of an employee. Developmentally, performance appraisals assist agencies in identifying issues such as employee training needs and cross training opportunities.1 Despite its importance, both employees and management often view the performance appraisal process as frustrating and unfair. These frustrations are largely attributed to a reliance on performance appraisal instruments that: are not job related; have confusing or unclear rating levels, and; are viewed as subjective and biased by staff.2 This study was undertaken to identify steps for creating a more effective pay-for-performance system for public agencies. Specifically, this case study: (1) identified a systematic procedure for creating performance appraisal instruments; (2) described the appropriate training for those conducting an appraisal interview; (3) implemented performance reviews using the developed instruments and appraisal interview/review training, and; (4) evaluated employee attitudes toward the newly developed system. Survey results identified significant mean differences between employee attitude toward the original pay-forperformance instrument and appraisal interview process and the newly developed system. Results of the case study are analyzed and discussed

    The Development of a Pay-for-Performance Appraisal System for Municipal Agencies: A Case Study

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    Well-designed employee performance appraisal instruments assume great importance by providing agencies with information that can guide administrative and developmental decision-making about their most important asset—their human resources. Administratively, performance appraisals serve as the formal evaluation tool used by managers when making decisions about the distribution of pay increases and the promotion and demotion of an employee. Developmentally, performance appraisals assist agencies in identifying issues such as employee training needs and cross training opportunities.1 Despite its importance, both employees and management often view the performance appraisal process as frustrating and unfair. These frustrations are largely attributed to a reliance on performance appraisal instruments that: are not job related; have confusing or unclear rating levels, and; are viewed as subjective and biased by staff.2 This study was undertaken to identify steps for creating a more effective pay-for-performance system for public agencies. Specifically, this case study: (1) identified a systematic procedure for creating performance appraisal instruments; (2) described the appropriate training for those conducting an appraisal interview; (3) implemented performance reviews using the developed instruments and appraisal interview/review training, and; (4) evaluated employee attitudes toward the newly developed system. Survey results identified significant mean differences between employee attitude toward the original pay-forperformance instrument and appraisal interview process and the newly developed system. Results of the case study are analyzed and discussed

    Allometric length-weight relationships for benthic prey of aquatic wildlife in coastal marine habitats

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    We developed models to estimate the soft tissue content of benthic marine invertebrates that are prey for aquatic wildlife. Allometric regression models of tissue wet weight with shell length for 10 species of benthic invertebrates had r2 values ranging from 0.29 for hermit crabs Pagurus longicarpus to 0.98 for green crabs Carcinus maenas. As a class, bivalves had the highest r2 values (0.84) and crustaceans the lowest (0.48). Energy and nutrient content of soft tissue is also presented for the 10 benthic species. The energy content was lowest in crabs, and ranged within 2.20–4.71 kcal g-1 dry weight. Fat content was highly variable (range: 3.5–16.0%), and protein content ranged within 43.1–68.1% and was highest for shrimp Palaemonetes pugio. Comparison between classes of organisms of the amount of soft tissue per unit shell length showed that crustaceans yield five times more soft tissue per unit shell length than bivalves, and four times more than gastropods. The models we present use simple measures, such as the length of shell or wet weight of the entire animal, to quantitatively estimate the amount of available soft tissue in benthic prey that are usually consumed in total (with shell and soft tissue intact) but for which only the soft tissue is used for nutritional gain. This information can be combined with energy and nutrient content data to calculate energy or nutrient based carrying capacities that can help assess available resources for shorebirds, waterfowl and marine mammals

    Effects of Dehydration on Balance as Measured by the Balance Error Scoring System

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    The purpose of this study was to identify the effects of active dehydration on balance in euthermic individuals employing the Balance Error Scoring System (BESS). The results indicate that dehydration significantly negatively affects balance

    Space-time clustering of childhood central nervous system tumours in Yorkshire, UK

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    <p>Abstract</p> <p>Background</p> <p>We specifically tested the aetiological hypothesis that a factor influencing geographical or temporal heterogeneity of childhood central nervous system (CNS) tumour incidence was related to exposure to a transient environmental agent.</p> <p>Methods</p> <p>Information was extracted on individuals aged 0-14 years, diagnosed with a CNS tumour between the 1st January 1974 and 31st December 2006 from the Yorkshire Specialist Register of Cancer in Children and Young People. Ordnance Survey eight-digit grid references were allocated to each case with respect to addresses at the time of birth and the time of diagnosis, locating each address to within 0.1 km. The following diagnostic groups were specified <it>a priori </it>for analysis: ependymoma; astrocytoma; primitive neuroectodermal tumours (PNETs); other gliomas; total CNS tumours. We applied the <it>K</it>-function method for testing global space-time clustering using fixed geographical distance thresholds. Tests were repeated using variable nearest neighbour (NN) thresholds.</p> <p>Results</p> <p>There was statistically significant global space-time clustering for PNETs only, based on time and place of diagnosis (<it>P </it>= 0.03 and 0.01 using the fixed geographical distance and the variable NN threshold versions of the <it>K</it>-function method respectively).</p> <p>Conclusions</p> <p>There was some evidence for a transient environmental component to the aetiology of PNETs. However, a possible role for chance cannot be excluded.</p

    Beaver Ponds: Resurgent Nitrogen Sinks for Rural Watersheds in the Northeastern United States

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    Beaver-created ponds and dams, on the rise in the northeastern United States, reshape headwater stream networks from extensive, free-flowing reaches to complexes of ponds, wetlands, and connecting streams. We examined seasonal and annual rates of nitrate transformations in three beaver ponds in Rhode Island under enriched nitrate-nitrogen (N) conditions through the use of 15N mass balance techniques on soil core mesocosm incubations. We recovered approximately 93% of the nitrate N from our mesocosm incubations. Of the added nitrate N, 22 to 39% was transformed during the course of the incubation. Denitrification had the highest rates of transformation (97–236 mg N m−2 d−1), followed by assimilation into the organic soil N pool (41–93 mg N m−2 d−1) and ammonium generation (11–14 mg N m−2 d−1). Our denitrification rates exceeded those in several studies of freshwater ponds and wetlands; however, rates in those ecosystems may have been limited by low concentrations of nitrate. Assuming a density of 0.7 beaver ponds km−2 of catchment area, we estimated that in nitrate-enriched watersheds, beaver pond denitrification can remove approximately 50 to 450 kg nitrate N km−2 catchment area. In rural watersheds of southern New England with high N loading (i.e., 1000 kg km−2), denitrification from beaver ponds may remove 5 to 45% of watershed nitrate N loading. Beaver ponds represent a relatively new and substantial sink for watershed N if current beaver populations persist

    Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation.

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    BACKGROUND: Although numerous investigations have compared gene expression microarray platforms, preprocessing methods and batch correction algorithms using constructed spike-in or dilution datasets, there remains a paucity of studies examining the properties of microarray data using diverse biological samples. Most microarray experiments seek to identify subtle differences between samples with variable background noise, a scenario poorly represented by constructed datasets. Thus, microarray users lack important information regarding the complexities introduced in real-world experimental settings. The recent development of a multiplexed, digital technology for nucleic acid measurement enables counting of individual RNA molecules without amplification and, for the first time, permits such a study. RESULTS: Using a set of human leukocyte subset RNA samples, we compared previously acquired microarray expression values with RNA molecule counts determined by the nCounter Analysis System (NanoString Technologies) in selected genes. We found that gene measurements across samples correlated well between the two platforms, particularly for high-variance genes, while genes deemed unexpressed by the nCounter generally had both low expression and low variance on the microarray. Confirming previous findings from spike-in and dilution datasets, this "gold-standard" comparison demonstrated signal compression that varied dramatically by expression level and, to a lesser extent, by dataset. Most importantly, examination of three different cell types revealed that noise levels differed across tissues. CONCLUSIONS: Microarray measurements generally correlate with relative RNA molecule counts within optimal ranges but suffer from expression-dependent accuracy bias and precision that varies across datasets. We urge microarray users to consider expression-level effects in signal interpretation and to evaluate noise properties in each dataset independently
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