Aging and demographic plasticity in response to experimental age structures in honeybees (<Emphasis Type="Italic">Apis mellifera</Emphasis> L)

Honeybee colonies are highly integrated functional units characterized by a pronounced division of labor. Division of labor among workers is mainly age-based, with younger individuals focusing on in-hive tasks and older workers performing the more hazardous foraging activities. Thus, experimental disruption of the age composition of the worker hive population is expected to have profound consequences for colony function. Adaptive demography theory predicts that the natural hive age composition represents a colony-level adaptation and thus results in optimal hive performance. Alternatively, the hive age composition may be an epiphenomenon, resulting from individual life history optimization. We addressed these predictions by comparing individual worker longevity and brood production in hives that were composed of a single-age cohort, two distinct age cohorts, and hives that had a continuous, natural age distribution. Four experimental replicates showed that colonies with a natural age composition did not consistently have a higher life expectancy and/or brood production than the single-cohort or double-cohort hives. Instead, a complex interplay of age structure, environmental conditions, colony size, brood production, and individual mortality emerged. A general tradeoff between worker life expectancy and colony productivity was apparent, and the transition from in-hive tasks to foraging was the most significant predictor of worker lifespan irrespective of the colony age structure. We conclude that the natural age structure of honeybee hives is not a colony-level adaptation. Furthermore, our results show that honeybees exhibit pronounced demographic plasticity in addition to behavioral plasticity to react to demographic disturbances of their societies.     

Seatbelt non-use and car crash injury: an interview study

OBJECTIVES: To examine the relationship between seatbelt non-use at the time of a crash, habitual non-use of seatbelts, and car crash injury; and to calculate the population attributable risk for car crash injury due to seatbelt non-use. METHODS: A population-based case control, interview study in Auckland, New Zealand, with 571 injured or killed drivers as cases and 588 population-based controls randomly selected from the driving population. RESULTS: Unbelted drivers had 10 times the risk of involvement in an injury crash compared to belted drivers after adjustment for multiple confounders. Habitual non-users were likely to be unbelted when involved in a crash. The population attributable risk for seatbelt non-use was 13%. CONCLUSIONS: Non-use of seatbelts is very strongly associated with increased injury crash involvement. Even where seatbelt use rates are higher than 90%, there remains a small group of habitual non-users who are at high risk; these drivers may benefit from targeted interventions.     

The influence of water vapour on the determination of glutaraldehyde vapour concentrations using an electrochemical fuel cell sensor

The effects of relative humidity (40-90% RH) and varying glutaraldehyde vapour concentrations (< 0.1 ppm) on the response of an electrochemical fuel cell sensor have been investigated over time (0-400 s). These studies have identified changes in the response of the fuel cell with time after sampling. In particular, it has been found that the maximum cell output for water vapour occurs ca. 10 s after sampling whilst the response to glutaraldehyde occurs much later (> 100 s). For mixtures containing different ratios of water and glutaraldehyde vapours, the time taken to reach maximum fuel cell response varies between 10 and 100 s, depending on the ratio of the two vapours. For instance, glutaraldehyde vapour containing higher % RH has been found to result in shorter times to reach maximum fuel cell response. A comparison was made between measuring glutaraldehyde vapour concentrations in the presence of water vapour at the maximum fuel cell response and also at a fixed interval (240 s) after sampling. Such a comparison resulted in a reduction in the standard error from 36% to 5% for a glutaraldehyde vapour sample (0.023 ppm) measured at different values of relative humidity (40 to 80%). Examination of the effect of the sample volume (30-60 ml) on the response of the fuel cell shows, as expected, an approximate doubling of the fuel cell response. Optimisation of the fuel cell measurement parameters to measure a 60 ml sample leads to a lowering of the limit of detection from 0.083 ppm (for data taken at the maximum cell response) to 0.017 ppm for data measured 240 s after sampling. In the light of recent reductions in the legal limits for exposure to glutaraldehyde, this has important implications for the measurement of glutaraldehyde vapour in the workplace.     

Some problems arising in analysis of large-scale animal irradiation experiments

This paper describes some of the problems that occur in experiments designed particularly to study the effects of irradiation. One of the purposes of such experiments is to provide data that allow an informed judgment on estimates of the risks for man after exposure to radiation.It is no trivial matter to establish whether exposure to agents, such as radiation, increases the probability of a tumor arising de novo or whether the effect is an advancement of the time of appearance of naturally occurring tumors. In many murine tumors, the problem of establishing which of these two possibilities is the case is increased by the high natural incidence. In order to interpret the data from carcinogenesis experiments, a knowledge of the natural history of the tumor of interest is necessary. In this paper we present data that help to elucidate the biology of lung tumors in hybrid B6CF₁/An1 mice.The rising incidence of many tumors late in life raises the question of whether a common systemic factor is involved. In experiments with female mice, relatively low doses of radiation may sterilize the ovary with subsequent hormonal imbalances that in turn may influence the appearance of tumors in a number of hormone-influenced tissues. We have found that radiation may increase not only the age-specific rates of tumors but also the probability of the number of different tumor types.The possibility of a lack of independence of the occurrences of different tumors complicates the data analysis. To answer some of the questions we have raised, it would be of considerable help to have data on the prevalence of tumors; however, such data usually involve serial killing which is costly. We have examined the possibility of obtaining prevalence data for lung tumors by the determination of the incidence of lung tumors in mice dying from causes other than lung tumors. There appears to be no difference in the prevalence of lung tumors determined by using either this approach or serial killing.     

The moderating effects of political skill on the perceived politics–outcome relationships

Previous research has established that perceptions of organizational politics are associated with negative organizational outcomes. However, this may not hold true for all individuals. We offer subordinate and supervisor political skill, the ability to understand interactions at work and to use that understanding to effectively influence others, as possible moderators. Specifically, this study investigates the impact of both employees' self‐rated political skill and their managers' political skill on job satisfaction, job performance, and manager‐rated commitment. We examined these relationships in an organizational sample of 106 matched dyadic pairs and found mixed support for the joint moderating effect of self and manager political skill on the politics perceptions‐outcome relationships. Strengths, limitations, and directions for future research are discussed. Copyright © 2010 John Wiley & Sons, Ltd.     

Testing isosource: stable isotope analysis of a tropical fishery with diverse organic matter sources

We sampled consumers and organic matter sources (mangrove litter, freshwater swamp-forest litter, seagrasses, seagrass epiphytes, and marine particulate organic matter [MPOM]) from four estuaries on Kosrae, Federated States of Micronesia for stable isotope (sigma13C and sigma34S) analysis. Unique mixing solutions cannot be calculated in a dual-isotope, five-endmember scenario, so we tested IsoSource, a recently developed statistical procedure that calculates ranges in source contributions (i.e., minimum and maximum possible). Relatively high minimum contributions indicate significant sources, while low maxima indicate otherwise. Litter from the two forest types was isotopically distinguishable but had low average minimum contributions (0-8% for mangrove litter and 0% for swamp-forest litter among estuaries). Minimum contribution of MPOM was also low, averaging 0-13% among estuaries. Instead, local marine sources dominated contributions to consumers. Minimum contributions of seagrasses averaged 8-47% among estuaries (range 0-88% among species). Minimum contributions of seagrass epiphytes averaged 5-27% among estuaries (range 0-69% among species). IsoSource enabled inclusion of five organic matter sources in our dual-isotope analysis, ranking trophic importance as follows: seagrasses > seagrass epiphytes > MPOM > mangrove forest > freshwater swamp-forest. IsoSource is thus a useful step toward understanding which of multiple organic matter sources support food webs; more detailed work is necessary to identify unique solutions.     

Linking life history to landscape for threatened species conservation in a multiuse region

Landscape-scale conservation that considers metapopulation dynamics will be essential for preventing declines of species facing multiple threats to their survival. Toward this end, we developed a novel approach that combines occurrence records, spatial–environmental data, and genetic information to model habitat, connectivity, and patterns of genetic structure and link spatial attributes to underlying ecological mechanisms. Using the threatened northern quoll (Dasyurus hallucatus) as a case study, we applied this approach to address the need for conservation decision-making tools that promote resilient metapopulations of this threatened species in the Pilbara, Western Australia, a multiuse landscape that is a hotspot for biodiversity and mining. Habitat and connectivity were predicted by different landscape characteristics. Whereas habitat suitability was overwhelmingly driven by terrain ruggedness, dispersal was facilitated by proximity to watercourses. Although there is limited evidence for major physical barriers in the Pilbara, areas with high silt and clay content (i.e., alluvial and hardpan plains) showed high resistance to dispersal. Climate subtlety shaped distributions and patterns of genetic turnover, suggesting the potential for local adaptation. By understanding these spatial–environmental associations and linking them to life-history and metapopulation dynamics, we highlight opportunities to provide targeted species management. To support this, we have created habitat, connectivity, and genetic uniqueness maps for conservation decision-making in the region. These tools have the potential to provide a more holistic approach to conservation in multiuse landscapes globally.