Spatial modelling of biodiversity at the community level

1. Statistical modelling is often used to relate sparse biological survey data to remotely derived environmental predictors, thereby providing a basis for predictively mapping biodiversity across an entire region of interest. The most popular strategy for such modelling has been to model distributions of individual species one at a time. Spatial modelling of biodiversity at the community level may, however, confer significant benefits for applications involving very large numbers of species, particularly if many of these species are recorded infrequently. 2. Community-level modelling combines data from multiple species and produces information on spatial pattern in the distribution of biodiversity at a collective community level instead of, or in addition to, the level of individual species. Spatial outputs from community-level modelling include predictive mapping of community types (groups of locations with similar species composition), species groups (groups of species with similar distributions), axes or gradients of compositional variation, levels of compositional dissimilarity between pairs of locations, and various macro-ecological properties (e.g. species richness). 3. Three broad modelling strategies can be used to generate these outputs: (i) 'assemble first, predict later', in which biological survey data are first classified, ordinated or aggregated to produce community-level entities or attributes that are then modelled in relation to environmental predictors; (ii) 'predict first, assemble later', in which individual species are modelled one at a time as a function of environmental variables, to produce a stack of species distribution maps that is then subjected to classification, ordination or aggregation; and (iii) 'assemble and predict together', in which all species are modelled simultaneously, within a single integrated modelling process. These strategies each have particular strengths and weaknesses, depending on the intended purpose of modelling and the type, quality and quantity of data involved. 4. Synthesis and applications. The potential benefits of modelling large multispecies data sets using community-level, as opposed to species-level, approaches include faster processing, increased power to detect shared patterns of environmental response across rarely recorded species, and enhanced capacity to synthesize complex data into a form more readily interpretable by scientists and decision-makers. Community-level modelling therefore deserves to be considered more often, and more widely, as a potential alternative or supplement to modelling individual species.

Bacterial community structure of a pesticide-contaminated site and assessment of changes induced in community structure during bioremediation.

The introduction of culture-independent molecular screening techniques, especially based on 16S rRNA gene sequences, has allowed microbiologists to examine a facet of microbial diversity not necessarily reflected by the results of culturing studies. The bacterial community structure was studied for a pesticide-contaminated site that was subsequently remediated using an efficient degradative strain Arthrobacter protophormiae RKJ100. The efficiency of the bioremediation process was assessed by monitoring the depletion of the pollutant, and the effect of addition of an exogenous strain on the existing soil community structure was determined using molecular techniques. The 16S rRNA gene pool amplified from the soil metagenome was cloned and restriction fragment length polymorphism studies revealed 46 different phylotypes on the basis of similar banding patterns. Sequencing of representative clones of each phylotype showed that the community structure of the pesticide-contaminated soil was mainly constituted by Proteobacteria and Actinomycetes. Terminal restriction fragment length polymorphism analysis showed only nonsignificant changes in community structure during the process of bioremediation. Immobilized cells of strain RKJ100 enhanced pollutant degradation but seemed to have no detectable effects on the existing bacterial community structure.

Implicit attitudes and self-concepts towards transgression and aggression: Differences between male community and offender adolescents, and associations with psychopathic traits.

Research suggests that implicit attitudes play a key role in the occurrence of antisocial behaviours. This study assessed implicit attitudes and self-concepts related to aggression and transgression in community and offender adolescents, using a new set of Implicit Association Tests (IATs), and examined their association with of psychopathic traits. Thirty-six offenders and 66 community adolescents performed 4 IATs assessing 1) implicit attitudes about a) aggression and b) transgression as good, and 2) implicit self-concepts about a) aggression and b) transgression as self-descriptive. They filled in self-report questionnaires: the Youth Psychopathic Traits Inventory, the Child Behaviour Checklist, and explicit measures of their attitudes and self-concepts towards transgression and aggression. Results showed few differences between community and offender adolescents on implicit attitudes and self-concepts, and unexpected negative associations between some implicit attitudes and psychopathic traits, while the association was positive for the corresponding explicit attitudes. Possible explanations of these findings are discussed.

New roles for community pharmacists in modern health care systems: a challenge for pharmacy education and research.

The academic activities led by the Unit of Community Pharmacy can be classified as translational. Our group is interested in person-centered pharmaceutical services aimed at a more responsible use of drugs (effectiveness, safety, efficiency) in collaboration with physicians and other health care professionals in a primary care setting. The following domains of education and research are high priorities for our group: medication therapy management, medication adherence, integrated care, individualization of therapies, care management for the elderly and e-health.

Combining food web and species distribution models for improved community projections

The ability to model biodiversity patterns is of prime importance in this era of severe environmental crisis. Species assemblage along environmental gradient is subject to the interplay of biotic interactions in complement to abiotic environmental filtering. Accounting for complex biotic interactions for a wide array of species remains so far challenging. Here, we propose to use food web models that can infer the potential interaction links between species as a constraint in species distribution models. Using a plant-herbivore (butterfly) interaction dataset, we demonstrate that this combined approach is able to improve both species distribution and community forecasts. Most importantly, this combined approach is very useful in rendering models of more generalist species that have multiple potential interaction links, where gap in the literature may be recurrent. Our combined approach points a promising direction forward to model the spatial variation of entire species interaction networks. Our work has implications for studies of range shifting species and invasive species biology where it may be unknown how a given biota might interact with a potential invader or in future climate.

Etiology of community-acquired pneumonia in hospitalized children based on WHO clinical guidelines

Rapport de synthèse: Enjeux de la recherche : La pneumonie communautaire chez l'enfant est un problème de santé publique considérable. Elle est responsable de 2 millions de mort par année, 70% survenant dans les pays en voie de développement. Sous nos latitudes son incidence est de 40/1000 enfants par année, ce qui représente une morbidité importante. Deux difficultés surviennent lorsqu'on cherche à diagnostiquer une pneumonie. La première est de distinguer une pneumonie bactérienne d'une virale, particulièrement chez les petits enfants où les infections virales des voies respiratoires inférieures sont fréquentes. L'OMS a définit la pneumonie selon des critères exclusivement cliniques et une étude effectuée à Lausanne en 2000 a montré que ces critères peuvent être utilisés dans nos contrées. La seconde difficulté est de définir l'agent causal de la pneumonie, ceci pour plusieurs raisons : L'aspiration endotrachéale, seul examen fiable, ne peut être obtenue de routine chez l'enfant vu son caractère invasif, la culture des secrétions nasopharyngées reflète la flore physiologique de la sphère ORL et une bactériémie n'est présente que dans moins de 10% des pneumonies. L'étiologie de la pneumonie reste souvent inconnue, et de ce fait plusieurs enfants reçoivent des antibiotiques pour une infection non bactérienne ce qui contribue au développement de résistances. L'objectif de cette étude était d'effectuer une recherche extensive de l'agent causal de la pneumonie et de déterminer quels facteurs pourraient aider le clinicien à différencier une pneumonie virale de bactérienne, en corrélant l'étiologie avec la sévérité clinique et les marqueurs de l'inflammation. Contexte de la recherche : II s'agissait d'une étude prospective, multicentrique, incluant les enfants âgés de 2 mois à 5 ans hospitalisés pour une pneumonie, selon les critères de l'OMS, dans le service de pédiatrie de Lausanne et Genève entre mars 2003 et Décembre 2005, avant l'implantation de la vaccination antipneumococcique de routine. Chaque enfant, en plus des examens usuels, bénéficiait d'une recherche étiologique extensive : Culture virale et bactérienne, PCR (Mycoplasma Pneumoniae, Chlamydia Pneumoniae, Virus Influenza A et B, RSV A et B, Rhinovirus, Parainfluenza 1-3, enterovirus, human metapneumovirus, coronavirus OC43, E229 ; et NL 63) et détection d'AG viraux dans les sécrétions nasopharyngées ; sérologies virales et bactériennes à l'entrée et 3 semaines après la sortie (AG Influenza A et B, Parainfluenza 1,2 et 3, RSV, Adenovirus, M.Pneumoniae et S.Pneumoniae). Conclusions : Un agent pathogène a été découvert chez 86% des 99 patients retenus confirmant le fait que plus la recherche étiologique est étendue plus le pourcentage d'agent causal trouvé est élevé. Une infection bactérienne a été découverte chez 53% des patients dont 45% avaient une infection à S. Pneumoniae confirmant l'importance d'une vaccination antipneumococcique de routine. La déshydratation et les marqueurs de l'inflammation tels que la C-Reactive Protein et la Procalcitonine étaient significativement plus élevés dans les pneumonies bactériennes. Aucune corrélation n'a été trouvée entre le degré de sévérité de la pneumonie et l'étiologie. L'étude a confirmé la haute prévalence d'infections virales (67%) et de co-infection (33%) dans la pneumonie de l'enfant sans que l'on connaisse le rôle réel du virus dans la pathogenèse de la pneumonie. Perspectives : d'autres études à la suite de celle-ci devraient être effectuées en incluant les patients ambulatoires afin de déterminer, avec un collectif plus large de patient, une éventuelle corrélation entre sévérité clinique et étiologie. Abstract : Community-acquired pneumonia (CAP) is a major cause of death in developing countries and of morbidity in developed countries. The objective of the study was to define the causative agents among children hospitalized for CAP defined by WHO guidelines and to correlate etiology with clinical severity and surrogate markers. Investigations included an extensive etiological workup. A potential causative agent was detected in 86% of the 99 enrolled patients, with evidence of bacterial (53%), viral (67%), and mixed (33%) infections. Streptococcus pneumoniae was accounted for in 46% of CAP. Dehydration was the only clinical sign associated with bacterial pneumonia. CRP and PCT were significantly higher in bacterial infections. Increasing the number of diagnostic tests identifies potential causes of CAP in up to 86% of children, indicating a high prevalence of viruses and frequent co-infections. The high proportion of pneumococcal infections re-emphasizes the importance of pneumococcal immunization.

Frailty and use of health and community services by community-dwelling older men: the Concord Health and Ageing in Men Project.

BACKGROUND: frailty is a concept used to describe older people at high risk of adverse outcomes, including falls, functional decline, hospital or nursing home admission and death. The associations between frailty and use of specific health and community services have not been investigated. METHODS: the cross-sectional relationship between frailty and use of several health and community services in the last 12 months was investigated in 1,674 community-dwelling men aged 70 or older in the Concord Health and Ageing in Men study, a population-based study conducted in Sydney, Australia. Frailty was assessed using a modified version of the Cardiovascular Health Study criteria. RESULTS: overall, 158 (9.4%) subjects were frail, 679 (40.6%) were intermediate (pre-frail) and 837 (50.0%) were robust. Frailty was associated with use of health and community services in the last 12 months, including consulting a doctor, visiting or being visited by a nurse or a physiotherapist, using help with meals or household duties and spending at least one night in a hospital or nursing home. Frail men without disability in activities of daily living were twice more likely to have seen a doctor in the previous 2 weeks than robust men (adjusted odds ratio 2.04, 95% confidence interval 1.21-3.44), independent of age, comorbidity and socio-economic status. CONCLUSION: frailty is strongly associated with use of health and community services in community-dwelling older men. The high level of use of medical services suggests that doctors and nurses could play a key role in implementation of preventive interventions.

Predicting community and ecosystem outcomes of mycorrhizal responses to global change.

Mycorrhizal symbioses link the biosphere with the lithosphere by mediating nutrient cycles and energy flow though terrestrial ecosystems. A more mechanistic understanding of these plant-fungal associations may help ameliorate anthropogenic changes to C and N cycles and biotic communities. We explore three interacting principles: (1) optimal allocation, (2) biotic context and (3) fungal adaptability that may help predict mycorrhizal responses to carbon dioxide enrichment, nitrogen eutrophication, invasive species and land-use changes. Plant-microbial feedbacks and thresholds are discussed in light of these principles with the goal of generating testable hypotheses. Ideas to develop large-scale collaborative research efforts are presented. It is our hope that mycorrhizal symbioses can be effectively integrated into global change models and eventually their ecology will be understood well enough so that they can be managed to help offset some of the detrimental effects of anthropogenic environmental change.