Why are warning displays multimodal?

Multimodal defensive displays are commonplace, with prey combining conspicuous coloration, sounds, odours and other chemical emissions to deter predators. These components can signal to predators in multiple signal modalities to warn them that prey are defended. The aim of our review is to examine the form and function of multimodal warning displays. Data collected from the literature on multimodal insect warning displays show the degree of complexity and diversity that needs to be explained, and we identify patterns in the data that may be worthy of more rigorous investigation. We also provide a theoretical framework for the study of multimodal warning displays, and evaluate the evidence for different functional hypotheses that can explain their widespread evolution. Our review highlights that whilst multimodal warning displays are well documented, particularly in insects, we lack a good understanding of their function in natural predator–prey systems.     

The application of generalized linear mixed models to multi-level sampling for insect population monitoring

Iwao's quadratic regression or Taylor's Power Law (TPL) are commonly used to model the variance as a function of the mean for sample counts of insect populations which exhibit spatial aggregation. The modeled variance and distribution of the mean are typically used in pest management programs to decide if the population is above the action threshold in any management unit (MU) (e.g., orchard, forest compartment). For nested or multi-level sampling the usual two-stage modeling procedure first obtains the sample variance for each MU and sampling level using ANOVA and then fits a regression of variance on the mean for each level using either Iwao or TPL variance models. Here this approach is compared to the single-stage procedure of fitting a generalized linear mixed model (GLMM) directly to the count data with both approaches demonstrated using 2-level sampling. GLMMs and additive GLMMs (AGLMMs) with conditional Poisson variance function as well as the extension to the negative binomial are described. Generalization to more than two sampling levels is outlined. Formulae for calculating optimal relative sample sizes (ORSS) and the operating characteristic curve for the control decision are given for each model. The ORSS are independent of the mean in the case of the AGLMMs. The application described is estimation of the variance of the mean number of leaves per shoot occupied by immature stages of a defoliator of eucalypts, the Tasmanian Eucalyptus leaf beetle, based on a sample of trees within plots from each forest compartment. Historical population monitoring data were fitted using the above approaches.     

Taste-rejection by predators and the evolution of unpalatability in prey

Aposematic species advertise their unpalatability to potential predators using conspicuous warning colouration. The initial evolution of aposematism is thought to occur by warningly coloured mutants emerging in an already unpalatable cryptic species. However, possessing defence chemicals is often costly, and it is difficult to understand what the selective benefits might be for a mutation causing its bearer to be defended in a population of otherwise palatable cryptic prey. One solution to this problem is that chemically defended individuals are tasted and rejected by predators, and are, therefore, more likely to survive predatory attacks than undefended individuals. Using naïve domestic chicks Gallus gallus domesticus as predators and cryptic green chick crumbs as prey, we asked whether the accuracy with which birds discriminated between palatable and unpalatable prey was affected by the palatability of the unpalatable prey (moderately or highly defended), or their frequency in the population (10 or 25%). Birds could discriminate between green prey on the basis of their defences, and showed better discrimination between palatable and unpalatable prey when defended crumbs were highly unpalatable, compared to when they were moderately unpalatable. Although there was no detectable effect of the frequency of unpalatable prey in the population on predator taste-rejection behaviour in our main analysis, frequency did appear to affect the strategies that birds used in their foraging decisions when prey were only moderately unpalatable. How birds used taste to reject prey also suggests that birds may be able to monitor and regulate their chemical intake according to the frequency and defence levels of the unpalatable prey. Taken together, these results show that avian predators can generate selection for unpalatability in cryptic prey by sampling and taste-rejecting prey, but that a relatively large chemical difference between palatable and unpalatable prey may be necessary before unpalatable prey can enjoy a selective advantage. The exact nature of this evolutionary dynamic will depend on other environmental factors, such as defence costs and prey availability, but it provides a mechanism by which defences can evolve in a cryptic population.     

Soil and street dust heavy metal concentrations in and around Cuenca, Ecuador

Lead, cadmium and zinc concentrations have been obtained in a total of 83 soil and dust samples in and around the city of Cuenca, Ecuador. Elevated heavy metal concentrations were observed in the city, with comparable Pb concentrations to those commonly found in European and North American cities. Lead concentrations were also elevated above the estimated regional background (less than 9 microg g(-1)) along a rural track used by about 100 vehicles per day. The extent of the contamination by Cd and Zn was restricted to the urban area.     

Validation and quantification of extractable age pigments for determining the age of Antarctic krill (<Emphasis Type="Italic">Euphausia superba</Emphasis>)

Antarctic krill, Euphausia superba, hatched from eggs and maintained for four years, were sampled periodically for age-pigment analysis. Extractable pigments from the eye and eyestalk ganglia were quantified using fluorescence intensity and standardised against protein. Three peak fluorescence intensities were detected at wavelengths of excitation 280 nm, emission 625 nm (pigment 1); excitation 355 nm, emission 510 nm (pigment 2); and excitation 463 nm, emission 620 nm (pigment 3). There was a positive correlation between the quantity of pigments 1 and 3 and the age of Antarctic krill. A model was developed to predict age from pigment 3 and to compare it with other age proxies (carapace length and eyeball diameter). The quantity of pigment 3 was the best predictor of age. The pigment method can discriminate between similar sized krill aged 12 and 36 months. Age pigments provide an improved tool for age estimation in Antarctic krill, particularly if used in conjunction with other demographic information.     

Aluminium and the pathogenesis of senile plaques: studies in Alzheimer's disease and chronic renal failure

Aluminium and silicon are co-localised as aluminosilicate at the centre of the senile plaque core. These focal deposits appear to be a consistent and specific feature associated with A4 amyloid fibrils in the plaque core and are not associated with other types of amyloidosis. A pathogenic role for AI and Si is suggested by the finding of A4 amyloid deposits, immature senile plaques and an abnormal content and distribution of these elements in the brains of patients (<55 years) with chronic renal failure. Evidence suggests that AI uptake and distribution within the brain is mediated by transferrin. The distribution of transferrin receptors may account for the vulnerability of regions such as the hippocampus and cortex which are selectively involved in Alzheimer's disease.     

Modeling natural attenuation of petroleum hydrocarbon contamination using alternate electron acceptors: Case study comparing bioplume iii with BIOSCREEN

Natural attenuation holds great promise as a cost‐effective means of remedying groundwater contamination at petroleum spill sites: this is particularly true at sites with sufficient background concentrations of alternate electron acceptors (nitrate and/or sulfate). The study reported in this article compared the results of a new Environmental Protection Agency (EPA) numerical model (BIOPLUME III) with an updated EPA analytical model (BIOSCREEN Version 1.4) used to predict natural attenuation at an underground fuel spill site in Oklahoma. High background sulfate concentrations were shown to result in unrealistic predictions from both BIOSCREEN and BIOPLUME III. BIOSCREEN could be easily used with a data set not significantly enlarged from that used in a routine leaking fuel tank investigation. BIOPLUME III was much more difficult to use and did not yield reliable results. Results of this study indicate that the additional complexity of the BIOPLUME III model is not justified for simple sites.