Spatially explicit correlates of plant functional traits inform landscape patterns of resource quality

Landscape Ecology - Spatially explicit correlates of foliar elemental, stoichiometric, and phytochemical (ESP) traits represent links to landscape patterns of resource quality. We investigate...     

Prions in skeletal muscles of deer with chronic wasting disease

The emergence of chronic wasting disease (CWD) in deer and elk in an increasingly wide geographic area, as well as the interspecies transmission of bovine spongiform encephalopathy to humans in the form of variant Creutzfeldt Jakob disease, have raised concerns about the zoonotic potential of CWD. Because meat consumption is the most likely means of exposure, it is important to determine whether skeletal muscle of diseased cervids contains prion infectivity. Here bioassays in transgenic mice expressing cervid prion protein revealed the presence of infectious prions in skeletal muscles of CWD-infected deer, demonstrating that humans consuming or handling meat from CWD-infected deer are at risk to prion exposure.     

Age-related variations in flavonoid intake and sources in the Australian population

OBJECTIVE: To estimate flavonoid intake in the Australian population. DESIGN: Flavonoid consumption was estimated from 24-hour recall data and apparent consumption data using US Department of Agriculture flavonoid composition data. SUBJECTS: The National Nutrition Survey 1995 assessed dietary intake (24-hour recall) in a representative sample (n=13,858) of the Australian population aged 2 years and over. RESULTS: Analysis of the 24-hour recall data indicated an average adult intake (>18 years) of 454 mg day(-1) (92% being flavan-3-ols). Apple was the highest quercetin source until age 16-18 years, after which onion became an increasingly important prominent source. Variations in hesperetin consumption reflected orange intake. Apple, apricot and grapes were the major sources of epicatechin and catechin for children, but subsided as wine consumption increased in adulthood. Wine was the main source of malvidin. Naringenin intake remained static as a percentage of total flavonoid intake until age 19-24 years, corresponding to orange intake, and then increased with age from 19-24 years, corresponding to grapefruit intake. Apparent dietary flavonoid consumption was 351 mg person(-1) day(-1), of which 75% were flavan-3-ols. Black tea was the major flavonoid source (predominantly flavan-3-ols) representing 70% of total intake. Hesperetin and naringenin were the next most highly consumed flavonoids, reflecting orange intake. Both 24-hour recall and apparent consumption data indicated that apigenin intake was markedly higher in Australia than reported in either the USA or Denmark, presumably due to differences in consumption data for leaf and stalk vegetables and parsley. CONCLUSIONS: Tea was the major dietary flavonoid source in Australia. Flavonoid consumption profiles and flavonoid sources varied according to age. More consistent methodologies, survey tools validated for specific flavonoid intakes and enhanced local flavonoid content data for foods would facilitate better international comparisons of flavonoid intake.     

Simulating Arctic climate warmth and icefield retreat in the last interglaciation

In the future, Arctic warming and the melting of polar glaciers will be considerable, but the magnitude of both is uncertain. We used a global climate model, a dynamic ice sheet model, and paleoclimatic data to evaluate Northern Hemisphere high-latitude warming and its impact on Arctic icefields during the Last Interglaciation. Our simulated climate matches paleoclimatic observations of past warming, and the combination of physically based climate and ice-sheet modeling with ice-core constraints indicate that the Greenland Ice Sheet and other circum-Arctic ice fields likely contributed 2.2 to 3.4 meters of sea-level rise during the Last Interglaciation.     

Epidemiological Characteristics of Human and Animal Rabies in Azerbaijan

The Caucasus is a region of geopolitical importance, in the gateway between Europe and Asia. This geographical location makes the region equally important in the epidemiology and control of transboundary infectious diseases such as rabies. Azerbaijan is the largest country in the Caucasus, and although rabies is notifiable and considered endemic, there is little information on the burden of human and animal rabies. Here, we describe a cross‐disciplinary international collaboration aimed at improving rabies control in Azerbaijan. Partial nucleoprotein gene sequences were obtained from animal rabies cases for comparison with those from surrounding areas. Reported human and animal rabies cases between 2000 and 2010 were also reviewed and analysed by region and year. Comparison of rabies virus strains circulating in Azerbaijan demonstrates more than one lineage of rabies virus circulating concurrently in Azerbaijan and illustrates the need for further sample collection and characterization. Officially reported rabies data showed an increase in human and animal rabies cases, and an increase in animal bites requiring provision of post‐exposure prophylaxis, since 2006. This is despite apparently consistent levels of dog vaccination and culling of stray dogs.     

The impact of seasonal variability in wildlife populations on the predicted spread of foot and mouth disease

Modeling potential disease spread in wildlife populations is important for predicting, responding to and recovering from a foreign animal disease incursion such as foot and mouth disease (FMD). We conducted a series of simulation experiments to determine how seasonal estimates of the spatial distribution of white-tailed deer impact the predicted magnitude and distribution of potential FMD outbreaks. Outbreaks were simulated in a study area comprising two distinct ecoregions in South Texas, USA, using a susceptible-latent-infectious-resistant geographic automata model (Sirca). Seasonal deer distributions were estimated by spatial autoregressive lag models and the normalized difference vegetation index. Significant (P < 0.0001) differences in both the median predicted number of deer infected and number of herds infected were found both between seasons and between ecoregions. Larger outbreaks occurred in winter within the higher deer-density ecoregion, whereas larger outbreaks occurred in summer and fall within the lower deer-density ecoregion. Results of this simulation study suggest that the outcome of an FMD incursion in a population of wildlife would depend on the density of the population infected and when during the year the incursion occurs. It is likely that such effects would be seen for FMD incursions in other regions and countries, and for other diseases, in cases in which a potential wildlife reservoir exists. Study findings indicate that the design of a mitigation strategy needs to take into account population and seasonal characteristics.     

Accounting for serial correlation and its impact on forecasting ability of a fixed- and mixed-effects basal area model: a case study

Successfully accounting for serial correlations has always been a vital part of growth and yield modeling when using repeated measurement data. In this case study, 16 alternative functions addressing the serial correlations of errors from a basal area model of black spruce (Picea mariana (Mill.) B.S.P.) were examined and compared. Results from this study showed that functions incorporated into the fixed and mixed models to account for the serial correlations improved model fit. The serial correlation of the residuals from the fixed model with directly modeled error structure was significantly lower than that from the fixed model without a modeled error structure. For the mixed model, modeling error structure resulted in only a moderate reduction in serial correlation of residuals. The comparison of the fixed and mixed models with and without directly modeling the error structure showed that for fixed model, a substantial improvement in forecasting ability was achieved when the error structure was directly modeled to account for serial correlation, and when the forecasts were adjusted based on the estimated correlation. But for the mixed model, further modeling of the error structure to account for more serial correlation resulted in worsened or comparative forecasting ability of the fitted model.     

推求土壤水分运动参数的简单入渗法Ⅰ.理论分析

预报非饱和土壤水分运动必须首先获得土壤水分运动参数。土壤水分运动参数包括土壤水分特征曲线和导水率。本文使用积分方法求解了一维水平非饱和土壤水分运动问题,根据其建立了椎求非饱和土壤水分运动参数的简单人渗法,用以推求ｖａｎ Ｇｅｎｕｃｈｔｅｎ特征曲线模型中的参数α和ｎ。α和ｎ是根据湿润区的特征长度、吸渗率和土壤的饱和导水率（ｋ）来确定的,而非饱和导水率可由α、ｎ和ｋｓ确定。这一项的简单人渗法是基于Ｒｉ