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Variability of lotic macroinvertebrate assemblages and stream habitat characteristics across hierarchical landscape classifications.

Streams are naturally hierarchical systems, and their biota are affected by factors effective at regional to local scales. However, there have been only a few attempts to quantify variation in ecological attributes across multiple spatial scales. We examined the variation in several macroinvertebrate metrics and environmental variables at three hierarchical scales (ecoregions, drainage systems, streams) in boreal headwater streams. In nested analyses of variance, significant spatial variability was observed for most of the macroinvertebrate metrics and environmental variables examined. For most metrics, ecoregions explained more variation than did drainage systems. There was, however, much variation attributable to residuals, suggesting high among-stream variation in macroinvertebrate assemblage characteristics. Nonmetric multidimensional scaling (NMDS) and multiresponse permutation procedure (MRPP) showed that assemblage composition differed significantly among both drainage systems and ecoregions. The associated R-statistics were, however, very low, indicating wide variation among sites within the defined landscape classifications. Regional delineations explained most of the variation in stream water chemistry, ecoregions being clearly more influential than drainage systems. For physical habitat characteristics, by contrast, the among-stream component was the major source of variation. Distinct differences attributable to stream size were observed for several metrics, especially total number of taxa and abundance of algae-scraping invertebrates. Although ecoregions clearly account for a considerable amount of variation in macroinvertebrate assemblage characteristics, we suggest that a three-tiered classification system (stratification through ecoregion and habitat type, followed by assemblage prediction within these ecologically meaningful units) will be needed for effective bioassessment of boreal running waters.

Animals↗

Environmental mediation and the twin design.

Behavior genetic twin designs are increasingly used to study the effects of a measured environment whilst controlling for genetic variation. In this research note, we show that, in the context of the classical twin design, (1) when the environmental variable is necessarily shared between twins, the notion of controlling for genetic influence is logically flawed and (2) when the environmental variable varies between twins in the same family, partial control for genetic influence is possible, but only if appropriate analytic models are used, which is commonly not the case. Based on a simple simulation study, recommendations are given as to which methods should be applied and which should be avoided.

Confounding Factors, Epidemiologic↗

The evolution of environmental and genetic sex determination in fluctuating environments.

Twenty years ago, Bulmer and Bull suggested that disruptive selection, produced by environmental fluctuations, can result in an evolutionary transition from environmental sex determination (ESD) to genetic sex determination (GSD). We investigated the feasibility of such a process, using mutation-limited adaptive dynamics and individual-based computer simulations. Our model describes the evolution of a reaction norm for sex determination in a metapopulation setting with partial migration and variation in an environmental variable both within and between local patches. The reaction norm represents the probability of becoming a female as a function of environmental state and was modeled as a sigmoid function with two parameters, one giving the location (i.e., the value of the environmental variable for which an individual has equal chance of becoming either sex) and the other giving the slope of the reaction norm for that environment. The slope can be interpreted as being set by the level of developmental noise in morph determination, with less noise giving a steeper slope and a more switchlike reaction norm. We found convergence stable reaction norms with intermediate to large amounts of developmental noise for conditions characterized by low migration rates, small differential competitive advantages between the sexes over environments, and little variation between individual environments within patches compared to variation between patches. We also considered reaction norms with the slope parameter constrained to a high value, corresponding to little developmental noise. For these we found evolutionary branching in the location parameter and a transition from ESD toward GSD, analogous to the original analysis by Bulmer and Bull. Further evolutionary change, including dominance evolution, produced a polymorphism acting as a GSD system with heterogamety. Our results point to the role of developmental noise in the evolution of sex determination.

Adaptation, Biological↗

The evolution of dimorphic traits: predicting the genetic correlation between environments.

Many traits vary in a dichotomous manner, although the underlying genetic determination is polygenic. The genetic basis of such dimorphic traits can be analyzed using the threshold model, in which it is assumed that there is a continuously distributed underlying character and the phenotype is determined by whether the character is above or below a threshold. Threshold traits frequently vary with environmental variables such as photoperiod, temperature and density. This effect can be accounted for using a threshold model in which (1) there is a critical value of the environmental variable at which a genotype switches to the alternate morph, and (2) switch (threshold) points are normally distributed in the population. I term this the environmental threshold (ET) model. I show that the ET model predicts that across environments differing in only one factor the genetic correlation will be 1. This prediction is supported by data from three wing dimorphic insects. Evidence is presented that the genetic correlation between environments differing in two components (temperature and photoperiod) is less than 1.

Animals↗

The relationship between trace metal contamination and stream meiofauna.

The effect of chemical contaminants on freshwater meiofaunal communities is poorly understood and meiofauna rarely form part of environmental impact assessments in fresh waters. The community composition and diversity of meiofauna in streams of southwest England (Cornwall) representing a gradient in trace metal contamination were investigated. Multivariate and univariate statistical techniques were used to correlate community composition, diversity and environmental variables. Meiofaunal communities were very different at sites with high compared with low metal concentrations. Copper, either singly, or in combination with other environmental variables (aluminium, zinc or dissolved organic carbon), was the most important correlate with community composition. Not all meiofaunal species were adversely affected by metals, however, and some taxa, most notably certain cyclopoid copepods, were abundant at high metal concentrations. Moreover, sites with high metal concentrations were not significantly less diverse than sites of low metal concentrations. These data suggest that metal contamination significantly alters the composition of stream meiofaunal assemblages and highlight the importance of including meiofauna in impact studies of fresh waters.

Animals↗

Testing a genetic structure of blood-injury-injection fears.

Multivariate genetic analyses were used to examine the genetic and environmental contributions to individual differences in fears of blood, injury, and injections in 659 twin pairs who completed questions concerning fear and fainting around blood, injury, and injections, and fainting in situations not involving blood, as well as the personality scales of Neuroticism, and Harm Avoidance. There was significant familial aggregation of blood fears but univariate analyses were unable to distinguish between additive genetic or shared environmental variables, or both, as the cause. The same was true of blood fainting. Non-blood-injury fainting was best explained by a model assuming shared and unique environmental variables. However, multivariate genetic analyses, which capitalise on extra information contained by all the covariance terms, indicated that the variance in blood-injury-injection fear was principally attributable to unique environmental events specific to this fear and additive genetic factors shared with fainting. The data are discussed in the context of models of blood-injury phobia that identify the need to consider separate etiological mechanisms for fear and fainting.

Female↗

Measurement of organic acids, aldehydes, and ketones in residential environments and their relation to ozone.

Ozone and several polar volatile organic compounds (VOCs) including organic acids and carbonyls (aldehydes and ketones) were measured over an approximately 24 hour period in four residences during the winter of 1993 and in nine residences during the summer of 1993. All residences were in the greater Boston, Massachusetts area. The relation of the polar VOCs to the ozone concentration was examined. Indoor carbonyl concentrations were similar between the summer and winter, with the total mean winter concentration being 31.7 ppb and the total mean summer concentration being 36.6 ppb. However, the average air exchange rate was 0.9 hr-1 during the winter and 2.6 hr-1 during the summer. Therefore, the estimated carbonyl emission rates were significantly higher during the summer. Indoor organic acid concentrations were about twice as high during the summer as during the winter. For formic acid, the indoor winter mean was 9.8 ppb, and the summer indoor mean was 17.8 ppb. For acetic acid, the indoor winter mean was 15.5 ppb, and the summer indoor mean was 28.7 ppb. The concentrations of the polar VOCs were found to be significantly correlated with one another. Also, the emission rates of the polar VOCs were found to be correlated with both the environmental variables such as temperature and relative humidity and the ozone removal rate; however, it was difficult to apportion the relative effects of the environmental variables and the ozone removal.

Air Pollutants↗

Epidemiological studies of geographic variations of cancer incidence in Sweden. Choice of variables and statistical units.

The Swedish Cancer-Environment Registry has been used for studies of the parts of cancer incidences and of their variations between subpopulations, which, in a statistical sense, can be 'explained' by environmental variables. In previous studies the dependence of age-standardized incidences in municipalities (279 in Sweden) on population density, socio-economic variables, smoking habits and a variable for 'diagnostic intensity', assumed to allow for variations in under-diagnosing and under-reporting, was studied in, i.a., multiple-regression analyses. Due to intrinsic variation in potentially etiologic factors and in size, municipalities are less suitable as geographic units. Therefore a system was developed to build up, from parishes (about 2,600), pseudo-municipalities standardized with respect to size and some environmental variable(s), in the present study population density. This paper shows, for a number of cancer diseases and for total cancer, the superiority of pseudo-municipalities to municipalities with respect to power of explaining variation and, preliminarily, also incidence.

Female↗

Regional Kendall test for trend.

Trends in environmental variables are often investigated within a study region at more than one site. At each site, a trend analysis determines whether a trend has occurred. Yet often also of interest is whether a consistent trend is evident throughout the entire region. This paper adapts the Seasonal Kendall trend test to determine whether a consistent regional trend occurs in environmental variables.

Environmental Monitoring↗

Social and environmental factors associated with diarrhoea and growth in young children: child health in urban Africa.

This study investigates the relationship between social and environmental variables and diarrhoea and growth in children aged between 6 and 36 months in an urban area of The Gambia, West Africa. The social and environmental conditions of 493 children were observed and recorded over a period of 12 months. Two hundred and seventy-seven children were under weekly diarrhoea surveillance for a 15 week period during the wet season and 322 children had anthropometric measurements taken in May and September. Computer analysis was used to determine association between single and multiple environmental and social factors and diarrhoea prevalence and growth. The results of the diarrhoea surveillance showed that there was considerable variation between individual children. Thirty children had no diarrhoea during the period of surveillance and 30 had diarrhoea for over 24% of the time, with 2 children having diarrhoea for more than 50 days out of a total of 105. None of the social and environmental variables recorded showed a significant relationship with diarrhoea prevalence. The anthropometric measurements showed that at the end of the wet season, in September, 23% of children in this age group were less than 90% of the National Centre for Health Statistics standards of height for age and several of the variables recorded showed a statistically significant association with this measurement.

Child, Preschool↗

Sublethal effects of contamination on the Mediterranean sponge Crambe crambe: metal accumulation and biological responses.

The effect of low levels of pollution on the growth, reproduction output, morphology and survival of adult sponges and settlers of the sponge Crambe crambe were examined. We transplanted sponges from a control area to a contaminated site and measured the main environmental variables (chemical and physical) of both sites during the study period. Except some punctual differences in particulate organic matter, silicates, nitrates, and water motion, most environmental variables in the water were similar at both sites during the study months. Mainly copper, lead and OM concentrations in the sediment, and water motion were significantly higher at the polluted site and may be implicated in the biological effects observed: decrease in the percentage of specimens with embryos, increase in shape irregularity and decrease in growth rate. Individuals naturally occurring at the polluted site and those transplanted there for four months accumulated ten times more copper than either untouched or transplant controls. Although lead concentration in sediment did not differ between sites, native specimens from the contaminated site accumulated this metal more than untouched controls. Vanadium concentration also tended to increase in the sponges living at or transplanted to the contaminated site but this difference was not significant. C. crambe is a reliable indicator of metal contamination since it accumulates copper, lead and vanadium in high amounts. At the contaminated site, sponge growth, fecundity and survival were inhibited, whereas sponge irregularity ending in sponge fission was promoted. All these effects may compromise the structure and dynamics of the sponge populations in sheltered, metal-contaminated habitats.

Animals↗

Predicting Ixodes scapularis abundance on white-tailed deer using geographic information systems.

We collected 1,410 Ixodes scapularis from 139 white-tailed deer in Kent County, Maryland during the 1990 hunting season. A geographic information system was used to extract 41 environmental variables in the areas surrounding the collection sites of the deer. Stepwise linear regression was used to evaluate the association between the abundance of ticks on deer and the environmental data. A significant statistical association was observed between the abundance of I. scapularis and seven environmental variables (R = 0.69). Tick abundance was negatively correlated with urban land use patterns, wetlands, the amount of privately owned land, soils that tended to be saturated with water, and one drainage system. Tick abundance was positively correlated with well-drained, sandy soils having low water tables. These results indicate that geographically referenced environmental data may be useful in anticipating the risk of exposure to vectors over large areas.

Animals↗

Genetic variability in environmental isolates of Legionella pneumophila from Comunidad Valenciana (Spain).

Legionella pneumophila is associated to recurrent outbreaks in several Comunidad Valenciana (Spain) localities, especially in Alcoi, where social and climatic conditions seem to provide an excellent environment for bacterial growth. We have analysed the nucleotide sequences of three loci from 25 environmental isolates from Alcoi and nearby locations sampled over 3 years. The analysis of these isolates has revealed a substantial level of genetic variation, with consistent patterns of variability across loci, and comparable to that found in a large, European-wide sampling of clinical isolates. Among the tree loci studied, fliC showed the highest level of nucleotide diversity. The analysis of isolates sampled in different years revealed a clear differentiation, with samples from 2001 being significantly distinct from those obtained in 2002 and 2003. Furthermore, although linkage disequilibrium measures indicate a clonal nature for population structure in this sample, the presence of some recombination events cannot be ruled out.

Alleles↗

A technique for estimating maximum harvesting effort in a stochastic fishery model.

Exploitation of biological resources and the harvest of population species are commonly practiced in fisheries, forestry and wild life management. Estimation of maximum harvesting effort has a great impact on the economics of fisheries and other bio-resources. The present paper deals with the problem of a bioeconomic fishery model under environmental variability. A technique for finding the maximum harvesting effort in fluctuating environment has been developed in a two-species competitive system, which shows that under realistic environmental variability the maximum harvesting effort is less than what is estimated in the deterministic model. This method also enables us to find out the safe regions in the parametric space for which the chance of extinction of the species is minimized. A real life fishery problem has been considered to obtain the inaccessible parameters of the system in a systematic way. Such studies may help resource managers to get an idea for controlling the system.

Animals↗

On using polynomial chaos for modeling uncertainty in acoustic propagation.

The use of polynomial chaos for incorporating environmental variability into propagation models is investigated in the context of a simplified one-dimensional model, which is relevant for acoustic propagation when the random sound speed is independent of depth. Environmental variability is described by a spectral representation of a stochastic process and the chaotic representation of the wave field then consists of an expansion in terms of orthogonal random polynomials. Issues concerning implementation of the relevant equations, the accuracy of the approximation, uniformity of the expansion over the propagation range, and the computational burden necessary to evaluate different field statistics are addressed. When the correlation length of the environmental fluctuations is small, low-order expansions work well, while for large correlation lengths the convergence of the expansion is highly range dependent and requires high-order approximants. These conclusions also apply in higher-dimensional propagation problems.

Journal Article↗

Application of artificial neural network models to analyse the relationships between Gammarus pulex L. (Crustacea, Amphipoda) and river characteristics.

This study aimed at analysing the relationship between river characteristics and abundance of Gammarus pulex. To this end, four methods which can identify the relative contribution and/or the contribution profile of the input variables in neural networks describing the habitat preferences of this species were compared: (i) the "PaD" ("Partial Derivatives") method consists of a calculation of the partial derivatives of the output in relation to the input variables; (ii) the "Weights" method is a computation using the connection weights of the backpropagation Artificial Neural Networks; (iii) the "Perturb" method analyses the effect of a perturbation of the input variables on the output variable; (iv) the "Profile" method is a successive variation of one input variable while the others are kept constant at a fixed set of values. The dataset consisted of 179 samples, collected over a three-year period in the Zwalm river basin in Flanders, Belgium. Twenty-four environmental variables as well as the log-transformed abundance of Gammarus pulex were used in this study. The different contribution methods gave similar results concerning the order of importance of the input variables. Moreover, the stability of the methods was confirmed by gradually removing variables. Only in a limited number of cases a shift in the relative importance of the remaining input variables could be observed. Nevertheless, differences in sensitivity and stability of the methods were detected, probably as a result of the different calculation procedures. In this respect, the "PaD" method made a more severe discrimination between minor and major contributing environmental variables in comparison to the "Weights", "Profile" and "Perturb" methods. From an ecological point of view, the input variables "Ammonium" and to a smaller extent "COD", were selected by these methods as dominant river characteristics for the prediction of the abundance of Gammarus pulex in this study area.

Amphipoda↗

Association between childhood feeding problems and maternal eating disorder: role of the family environment.

BACKGROUND: There is a strong relationship between feeding problems in childhood and eating disorder in the mother. The mechanisms responsible for this relationship are not understood. AIMS: To elucidate family-environmental factors that could mediate this association. METHOD: A general population sample of children with feeding problems (n=35), other problems (shyness, fears or behavioural problems; n=58), or no problems (n=23) was identified. The mental state of their mothers was evaluated, including an assessment of current and past eating disorder. Video recordings were made in the families' homes of a mealtime and of the mothers and children participating in a standardised exploratory task. RESULTS: Two family-environmental variables significantly distinguished the children with feeding problems from the other two groups: 'mealtime disorganisation' and 'maternal strong control and disharmony'. Path analysis revealed the importance of these two environmental variables in mediating the association between child and maternal disturbance. CONCLUSIONS: The degree of mealtime disorganisation and the level of maternal strong control and disharmony mediate the association between maternal eating disorder and child feeding disturbance.

Adult↗

[Association of acute bronchiolitis with climate factors and environmental contamination].

BACKGROUND: Annually, acute bronchiolitis (AB) occurrence peaks during winter and is probably associated with air pollution. AIM: To relate the number of ambulatory consultations, emergency and hospital admission due to AB with climatic factors and air pollution. PATIENTS AND METHODS: Patients of less than 1 year old with AB that consulted to outpatient clinics, the emergency room or were admitted to the Pediatrics ward of the Catholic University Hospital, were enrolled. Information about respiratory syncytial virus (RSV) was obtained from the Catholic University Medical Investigation Center. Indices of air pollution such as particulate matters of less than 10 microns/m3 (PM 10), of less than 2.5 microns/m3 (PM 2.5), CO, SO3 and O3 were obtained from the Metropolitan Environmental Service. Temperature, humidity and precipitations were obtained from the Chilean Meteorological Service. RESULTS: Ninety nine consultations in out patient clinics and 442 in emergency rooms were collected (55% male, mean age 4.8 months). One hundred fifty two were admitted (34.4%). Thirty percent of children consulting in emergency rooms were younger than 3 months and 43% of them were hospitalized. The RSV study was made in 307 patients and 52% were positive. There was a higher rate of hospital admissions among RSV positive than RSV negative patients (52.5 and 22% respectively, p < 0.001). No association between environmental variables or air pollution and the number of consultations was observed. Young age and smoking inside the household were the main risk factors for hospital admission due to acute bronchiolitis. CONCLUSIONS: Environmental variables did not influence the number of cases of acute bronchiolitis. Young age and exposure to tobacco smoke were risk factors for hospital admission.

Acute Disease↗