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PubMed2000

Forest Canopy Stratification-Is It Useful?

It has long been recognized that the forest canopy has a complex structure that is significant for environmental interactions, regeneration, growth, and biotic habitat. Not only is the structure variously complex, but also there are many ways to conceptualize that complexity. Yet the persistent theme when considering the structure of canopies continues to be that of stratification: whether structural units are arranged in layers above the ground. We examined the use of the terms "stratification," "layering," and others in connection with canopy structure and found they had various meanings (often only implied) that were difficult to reconcile and to measure. We applied the definitions to the structure of a single, well-studied canopy located in Virginia, U.S.A., and found they failed to define consistently and clearly the presence, number, or location of strata. Additionally, we found the concept had limitations related to scale dependence, point of reference, and spatial averaging. Thus, asserting that a forest is stratified or naming the number of layers generally provided no guide to its structure. We propose alternative ways of conceptualizing and studying the forest canopy that avoid most of the problems associated with stratification. Among these are direct measurement and mapping of structural and environmental variables that have clear potential connections with canopy functions and viewing the distribution of structures or environmental conditions within the canopy as ecological gradients.

canopy↗
PubMedDate not supplied

Interpersonal variables in the prediction of alcoholism among adoptees: evidence for gene-environment interactions.

The contributions of genetic and both positive and negative environmental factors were tested in the prediction of alcohol abuse/dependence among 300 adult adoptees. No direct effects for either genetic or environmental factors were significant in the prediction of adoptee alcohol abuse/dependence. However, among women, early-life family conflict and psychopathology in the adoptive family interacted with a biological background of alcoholism. Among women with at least one alcoholic biological parent, conflict or psychopathology in the adoptive family increased the probability of alcohol abuse and/or dependence. Among men, no significant interactions were found between a biological background of alcoholism and environmental variables. Results suggest a pattern of gene-environment interaction among women.

Adolescent↗
PubMed2006

Phenotypic plasticity of body size in a temperate population of Drosophila melanogaster: when the temperature-size rule does not apply.

A natural population of Drosophila melanogaster in southern France was sampled in three different years and 10 isofemale lines were investigated from each sample. Two size-related traits, wing and thorax length, were measured and the wing/thorax ratio was also calculated. Phenotypic plasticity was analysed after development at seven different constant temperatures, ranging from 12 degrees C to 31 degrees C. The three year samples exhibited similar reaction norms, suggesting a stable genetic architecture in the natural population. The whole sample (30 lines) was used to determine precisely the shape of each reaction norm, using a derivative analysis. The practical conclusion was that polynomial adjustments could be used in all cases, but with different degrees: linear for the wing/thorax ratio, quadratic for thorax length, and cubic for wing length. Both wing and thorax length exhibited concave reaction norms, with a maximum within the viable thermal range. The temperatures of the maxima were, however, quite different, around 15 degrees C for the wing and 19.5 degrees C for the thorax. Assuming that thorax length is a better estimate of body size, it is not possible to state that increasing the temperature results in monotonically decreasing size (the temperature-size rule), although this is often seen to be the case for genetic variations in latitudinal clines. The variability of the traits was investigated at two levels-within and between lines-and expressed as a coefficient of variation. The within-line (environmental) variability revealed a regular, quadratic convex reaction norm for the three traits, with a minimum around 21 degrees C. This temperature of minimum variability may be considered as a physiological optimum, while extreme temperatures are stressful. The between-line (genetic) variability could also be adjusted to quadratic polynomials, but the curvature parameters were not significant. Our results show that the mean values of the traits and their variance are both plastic, but react in different ways along a temperature gradient. Extreme low or high temperatures decrease the size but increase the variability. These effects may be considered as a functional response to environmental stress.

Analysis of Variance↗
PubMed1989

Catastrophe modeling of the accident process: evaluation of an accident reduction program using the occupational hazards survey.

The report details a catastrophe theory model of the accident process with empirical validation. According to the cusp model, two distinct levels of risk can be observed for a distribution of group accident rates, one at 0.0 Occupational Safety and Health Association (OSHA)-reportable accidents per 100 person-years of exposure and one at 11.5. Changes within or between the two levels are determined by two control parameters: environmental hazard (asymmetry) and operator load (bifurcation). The sample consisted of 68 work groups from 8 Milwaukee-Chicago area sheet metal mills and foundries who completed the Occupational Hazards Survey (OHS). The OHS contributed six bifurcation variables (safety management, life stress, physical stress anxiety, beliefs about accident control, and experience) and two asymmetry variables (environmental hazards and danger). All organizations received an interpretive report of their survey responses with recommendations for accident control, and had held their reports for two to nine months at the time the follow-up accident rate data were collected. There were two additional bifurcation variables: months holding report and group size. Regression analysis determined that the cusp model (R2 = .42) was more than twice as accurate as the best log-linear or linear alternative. Accidents were successfully controlled by safety managers' attention to recommendations produced by the OHS analysis. Catastrophe theory provided some novel insights regarding the linkage between predictor variables and actual behavior. Research has shown that a substantial percentage of occupational accidents are the result of human error. In an effort to explain and predict such errors in a systematic manner, an accident process model based on the cusp catastrophe is developed and tested. The model offers several unique and useful properties: (1) It proposes that changes in accident rates for work groups are the result of a nonlinear dynamic process. (2) The distribution of accident rates is bimodal, with one model near zero and the other at some higher level. (3) Changes in accident rates are predicted from four sources: (i) ambient danger and hazard levels, (ii) variables that impact upon human performance capability, (iii) initial accident rates, and (iv) the mathematical function that interrelates those variables. (4) The mathematical model has inherent properties that allow for causal inference. Environmental and human performance factors can be operationalized as sets of more specific variables. In this application. The Occupational Hazards Survey was used to gather data from mill and foundry workers pertaining to hazards and dangers, adequacy of safety management, stress, anxiety, and beliefs about accident control.(ABSTRACT TRUNCATED AT 400 WORDS)

Accident Prevention↗
PubMed1993

Social environments of adult homes.

The purpose of this study was to examine the social environments of adult homes in the community to determine if different types of adult homes existed and which environmental variables best described each home type. Three hundred and two adult home staff rated 10 social environment variables of 49 adult homes using Moos' Community Oriented Programs Environment Scale. Using cluster analysis, 4 distinct environmental home types were identified. Discriminant analysis suggested that homes in each cluster differed primarily in their degree of staff involvement, staff support and expression of anger.

Adult↗
PubMed1991

Predicting attempts and sustained cessation of smoking after the introduction of workplace smoking bans.

Examined predictors of smoking cessation attempts and predictors of the outcome of those attempts after the introduction of a workplace smoking ban. Smokers were surveyed in the month before the ban came into force, and variables collected at that time were used to predict outcomes 6 months later. Data from 491 respondents who were smokers at the time of the initial survey were used, and a set of potential predictor variables was chosen on both theoretical and empirical grounds. Making a cessation attempt was predicted by the strength of desire to quit and, to less extent, by not having been subject to extensive restrictions on smoking before the mandated ban, having tried to quit before, perceiving oneself high in ability to quit, and being worried about smoke at work. For the outcome of cessation attempts among those who tried, success was best predicted by low levels of a composite habit strength variable and, to less extent, by desire to quit, no previous attempts to quit, the existence of social supports for quitting, and educational status. Although cognitive variables were important in predicting attempts, they played only a minor role in predicting maintenance. Behavioral and environmental variables contributed slightly to prediction of attempts and strongly to prediction of maintenance.

Adult↗
PubMed2004

Visualization and exploratory analysis of epidemiologic data using a novel space time information system.

BACKGROUND: Recent years have seen an expansion in the use of Geographic Information Systems (GIS) in environmental health research. In this field GIS can be used to detect disease clustering, to analyze access to hospital emergency care, to predict environmental outbreaks, and to estimate exposure to toxic compounds. Despite these advances the inability of GIS to properly handle temporal information is increasingly recognised as a significant constraint. The effective representation and visualization of both spatial and temporal dimensions therefore is expected to significantly enhance our ability to undertake environmental health research using time-referenced geospatial data. Especially for diseases with long latency periods (such as cancer) the ability to represent, quantify and model individual exposure through time is a critical component of risk estimation. In response to this need a STIS - a Space Time Information System has been developed to visualize and analyze objects simultaneously through space and time. RESULTS: In this paper we present a "first use" of a STIS in a case-control study of the relationship between arsenic exposure and bladder cancer in south eastern Michigan. Individual arsenic exposure is reconstructed by incorporating spatiotemporal data including residential mobility and drinking water habits. The unique contribution of the STIS is its ability to visualize and analyze residential histories over different temporal scales. Participant information is viewed and statistically analyzed using dynamic views in which values of an attribute change through time. These views include tables, graphs (such as histograms and scatterplots), and maps. In addition, these views can be linked and synchronized for complex data exploration using cartographic brushing, statistical brushing, and animation. CONCLUSION: The STIS provides new and powerful ways to visualize and analyze how individual exposure and associated environmental variables change through time. We expect to see innovative space-time methods being utilized in future environmental health research now that the successful "first use" of a STIS in exposure reconstruction has been accomplished.

Journal Article↗
PubMed2005

Cattle movements and bovine tuberculosis in Great Britain.

For 20 years, bovine tuberculosis (BTB) has been spreading in Great Britain (England, Wales and Scotland) and is now endemic in the southwest and parts of central England and in southwest Wales, and occurs sporadically elsewhere. Although its transmission pathways remain poorly understood, the disease's distribution was previously modelled statistically by using environmental variables and measures of their seasonality. Movements of infected animals have long been considered a critical factor in the spread of livestock diseases, as reflected in strict import/export regulations, the extensive movement restrictions imposed during the 2001 foot-and-mouth disease outbreak, the tracing procedures after a new case of BTB has been confirmed and the Government's recently published strategic framework for the sustainable control on BTB. Since January 2001 it has been mandatory for stock-keepers in Great Britain to notify the British Cattle Movement Service of all cattle births, movements and deaths. Here we show that movements as recorded in the Cattle Tracing System data archive, and particularly those from areas where BTB is reported, consistently outperform environmental, topographic and other anthropogenic variables as the main predictor of disease occurrence. Simulation distribution models for 2002 and 2003, incorporating all predictor categories, are presented and used to project distributions for 2004 and 2005.

Agriculture↗
PubMed2001

Moral commitment and the effects of social influences on violent delinquency.

The present article investigates the issue of whether and how moral commitment regarding violence conditions the relationship between a set of social environmental variables and violent delinquency. Three mutually exclusive hypotheses were evaluated using data from the National Youth Survey. The first, emanating from a purely environmental perspective, holds that moral commitment to non-violence does not condition the relationships of social variables to violent delinquency. The second hypothesis predicts that social factors have their greatest effect on violent behavior among those most strongly opposed to violence. The third hypothesis anticipates that social variables have their greatest impact on violent delinquency among those with violent attitudes. The results yielded strong support for the third hypothesis. Theoretical implications are discussed.

Adolescent↗
PubMed2004

Use of remote sensing and geographical information systems to identify environmental features that influence the distribution of paramphistomosis in sheep from the southern Italian Apennines.

A geographic information system (GIS) was constructed using remote sensing (RS) and landscape feature data together with Calicophoron daubneyi positive survey records from 197 georeferenced ovine farms with animals pasturing in a 3971 km(2) area of the southern Italian Apennines. The objective was to study the spatial distribution of this rumen fluke, identify environmental features that influence its distribution, and develop a preliminary risk assessment model. The GIS for the study area was constructed utilizing the following environmental variables: normalized difference vegetation index (NDVI), land cover, elevation, slope, aspect, and total length of rivers. These variables were then calculated for "buffer zones" consisting of the areas included in a circle of 3 km diameter centered on 197 farms. The environmental data obtained from GIS and RS and from data taken by the veterinarians on the field (stocking rate and presence of streams, springs and brooks on pasture) were analyzed by univariate (Spearman and ANOVA) and multivariate (discriminant) statistical analyses using the farm coprological status (positive/negative) as the dependent variable. Sheep on 32 of the 197 (16.2%) farms, were positive for C. daubneyi, with an average intensity of 52 epg. A multivariate stepwise discriminant analysis model was developed that included moors and heathland, sclerophyllous and coniferous forest vegetation, autumn-winter NDVI and presence of streams, springs and brooks on pasture. The variables entered in the model were also correlated with C. daubneyi positive farms in the univariate tests and are consistent with the environmental requirements of C. daubneyi and its snail intermediate host.

Animals↗
PubMed2001

The hormetic zone: an ecological and evolutionary perspective based upon habitat characteristics and fitness selection.

Fitness varies nonlinearly with environmental variables such as temperature, water availability, and nutrition, with maximum fitness at intermediate levels between more stressful extremes. For environmental agents that are highly toxic at exposures that substantially exceed background levels, fitness is maximized at concentrations near zero--a phenomenon often referred to as hormesis. Two main components are suggested: (1) background hormesis, which derives from the direct adaptation of organisms to their habitats; and (2) stress-derived hormonesis, which derives from metabolic reserves that are maintained as an adaptation to environmental stresses through evolutionary time. These reserves provide protection from lesser correlated stresses. This article discusses illustrative examples, including ethanol and ionizing radiation, aimed at placing hormesis into an ecological and evolutionary context. A unifying approach comes from fitness-stress continua that underlie responses to abiotic variables, whereby selection for maximum metabolic efficiency and hence fitness in adaptation to habitats in nature underlies hormetic zones. Within this reductionist model, more specific metabolic mechanisms to explain hormesis are beginning to emerge, depending upon the agent and the taxon in question. Some limited research possibilities based upon this evolutionary perspective are indicated.

Adaptation, Physiological↗
PubMed1977

Dislodgeable residues of ethion in Florida citrus and relationships to weather variables.

Five different treatments of ethion on Valencia orange trees were compared for decay rates and for ethion monoxon and ethion dioxon production under different environmental conditions. The oxon metabolite levels observed were low and always below the residue level of ethion itself. There were no significant differences in the decay rates of ethion between treatments. A model of ethion decay utilizing environmental variables as a time base is presented. This model explains 94% of the variation observed in ethion decay during very wet and very dry periods in Florida. The application of these results and general experimental approach to worker safety reentry standards is discussed.

Chromatography, Gas↗
PubMed2001

Development of river ecosystem models for Flemish watercourses: case studies in the Zwalm river basin.

Only recently, modelling has been accepted as an interesting and powerful tool to support river quality assessment and management. The 'River Invertebrate Prediction and Classification System' (RIVPACS), based on statistical modelling, was one of the first and best known systems in this context. RIVPACS was developed to classify macroinvertebrate community types and to predict the fauna expected to occur in different types of watercourses, based on a small number of environmental variables. The prediction is essentially a static 'target' of the fauna to be expected at a site with stated environmental features, in the absence of environmental stress. Therefore this system is rather limited to apply in river assessment and management. Models that offer a prediction of faunal responses to changes in environmental features (e.g. changes in discharge regime, dissolved oxygen level, ...) would be of considerable value for river management. In this context, models based on classification trees, artificial neural networks and fuzzy logic were developed and applied to predict macro-invertebrate communities in the Zwalm river basin located in Flanders, Belgium. Structural characteristics (meandering, substrate type, flow velocity, ...) and physical-chemical variables (dissolved oxygen, pH, ...) were used as inputs to predict the presence or absence of macroinvertebrate taxa in the headwaters and brooks of the Zwalm river basin. In total, data from 60 measurement sites were available. Reliability and particular strengths and weaknesses of these techniques were compared and evaluated. Classification trees performed in general well to predict the absence or presence of the different macroinvertebrate taxa and allowed also to deduct general relations from the dataset. Models based on artificial neural networks (ANNS) were also good in predicting the macroinvertebrate communities at the different sites. Sensitivity analyses related to ANNs allowed to study the impact of the input variables on the presence or absence of macroinvertebrate taxa and to determine the major variables that affect the ecosystem quality and should be taken under direct consideration in the management of river basins. Performance of the fuzzy logic models was significantly related to the methods that were used to set up the membership functions and the reliability of the information that was available. Fuzzy logic did not perform as well as the other two techniques with regard to short term predictions. Fuzzy logic appeared to be better and more robust for long term predictions, because of the easy and pragmatic integration of general expert knowledge and data derived rules in the transparent inference engine. The overall conclusion of our study is that all three techniques, classification trees, artificial neural networks and fuzzy logic appeared to be reliable to predict macroinvertebrate communities in polluted streams.

Animals↗
PubMed1980

Task force report: National Council of Community Mental Health Centers Task Force on Environmental Assessment.

This paper discusses the background and aims of the National Council of Community Mental Health Centers (NCCMHC) Task Force on Environmental Assessment and introduces the next four papers in this issue, which are products of the Task Force's work. The charge of the Task Force was to show the relationship between environmental variables and behavioral outcomes for the field of prevention of mental illness; to cite directions in research in environmental assessment with application to the field of prevention of mental illness; to review and evaluate the tools and methods used to assess environments, with a focus on social environments; and to work toward the development of assessment tools relevant to the field of mental health.

Humans↗
PubMed2004

Effects on phenotypic variability of directional selection arising through genetic differences in residual variability.

In standard models of quantitative traits, genotypes are assumed to differ in mean but not variance of the trait. Here we consider directional selection for a quantitative trait for which genotypes also confer differences in variability, viewed either as differences in residual phenotypic variance when individual loci are concerned or as differences in environmental variability when the whole genome is considered. At an individual locus with additive effects, the selective value of the increasing allele is given by ia/sigma + 1/2 ixb/sigma2, where i is the selection intensity, x is the standardized truncation point, sigma2 is the phenotypic variance, and a/sigma and b/sigma2 are the standardized differences in mean and variance respectively between genotypes at the locus. Assuming additive effects on mean and variance across loci, the response to selection on phenotype in mean is isigma2(Am)/sigma + 1/2 ixcov(Amv)/sigma2 and in variance is icov(Amv)/sigma + 1/2 ixsigma2(Av)/sigma2, where sigma2(Am) is the (usual) additive genetic variance of effects of genes on the mean, sigma2(Av) is the corresponding additive genetic variance of their effects on the variance, and cov(Amv) is the additive genetic covariance of their effects. Changes in variance also have to be corrected for any changes due to gene frequency change and for the Bulmer effect, and relevant formulae are given. It is shown that effects on variance are likely to be greatest when selection is intense and when selection is on individual phenotype or within family deviation rather than on family mean performance. The evidence for and implications of such variability in variance are discussed.

Data Interpretation, Statistical↗
PubMed2001

Organizational adoption of preemployment drug testing.

This study explored the adoption of preemployment drug testing by 360 organizations. Survival models were developed that included internal organizational and labor market factors hypothesized to affect the likelihood of adoption of drug testing. Also considered was another set of variables that included social and political variables based on institutional theory. An event history analysis using Cox regressions indicated that both internal organizational and environmental variables predicted adoption of drug testing. Results indicate that the higher the proportion of drug testers in the worksite's industry, the more likely it would be to adopt drug testing. Also, the extent to which an organization uses an internal labor market, voluntary turnover rate, and the extent to which management perceives drugs to be a problem were related to likelihood of adoption of drug testing.

Adult↗
PubMed2004

The immunopathology and genetics of asthma.

The definition of asthma and its related phenotypes is problematic because multiple factors are involved in its development. Asthma is thought to be a complex chronic inflammatory disorder of the airways resulting in symptoms of coughing, wheezing, and shortness of breath associated with evidence of bronchial reversibility and/or hyperreactivity. The ultimate clinical picture involves a variety of cellular and noncellular factors and multiple pathways, all of which are influenced by genetic and environmental factors. This article provides an overview of the characteristics and pathogenesis of asthma and atopy, as well as of genetic research underway to determine the major genes likely involved. These genes may interact with each other as well as with environmental variables that may influence the immune response.

Asthma↗
PubMed2001

[The coral reefs and coral communities of Bahía Culebra , Pacific coast of Costa Rica: biological aspects, economic-recreational and diving activities].

The coral reefs (AC) and coral communities on basalts (CCB) or sand (CCA) of Bahía Culebra (Golfo de Papagayo, northern Pacific coast of Costa Rica), were compared with descriptors such as cover percentage, diversity, substrate topographical heterogeneity (I(H)), associated organisms and frequency of recreational-commercial diving activities on them. Sea urchin abundance and I(H) were similar among the three reefal environments. The AC had higher coral cover (ca. 40%) and total live cover (>50%). The CCB had higher macro and calcareous algae (>5%) and sponges (>2%). Associated organisms (>2%) and general diversity (0.6) were higher in the CCA. Branching coral species (Pocillopora spp.) accounted for >40% of total coral cover in the reefs, followed by massive species (ca. 30%). In the CCB, branching species contributed ca. 80% and massive ca. 19%, whilst in the CCA ca. 68% and ca. 29% respectively. This differences could be related with the substrate consolidation and ample depth range of coral communities. Most of the recreational dives were conducted at the CCB; only occasionally the CCA and AC are visited. Interviewed divers had a principal interest on fish and it is precisely at the CCB where highest fish diversity and biomass are observed. Commercial divers tend to prefer the CCB because of their abundance and distribution in the bay. At the outer littoral of Bahía Culebra, diversity of all taxa and live coral cover zonal distribution are generally higher. In addition to these descriptors, indexes that indicate the regional value of a particular reef or coral community is recommended. Coastal infrastructure is mainly concentrated at three areas of the bay; one of them harbors a rare Leptoseris papyracea reef (the only reported so far in the eastern Pacific) and the solely Costa Rican living population of the free living coral Fungia (Cycloseris) curvata. A resort marina will be built over this reef. A protection plan for this and other reefal environments of Bahía Culebra is urgent and must include the monitoring of environmental variables and coral health.

Animals↗