30 research outputs found

    Come to the dark side! The role of functional traits in shaping dark diversity patterns of south-eastern European hoverflies

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    1. Dark diversity represents the set of species that can potentially inhabit a given area under particular ecological conditions, but are currently 'missing' from a site. This concept allows characterisation of the mechanisms determining why species are sometimes absent from an area that seems ecologically suitable for them. 2. The aim of this study was to determine the dark diversity of hoverflies in south-eastern Europe and to discuss the role of different functional traits that might increase the likelihood of species contributing to dark diversity. Based on expert opinion, the Syrph the Net database and known occurrences of species, the study estimated species pools, and observed and dark diversities within each of 11 defined vegetation types for 564 hoverfly species registered in south-eastern Europe. To detect the most important functional traits contributing to species being in dark diversity across different vegetation types, a random forest algorithm and respective statistics for variable importance were used. 3. The highest dark diversity was found for southwest Balkan sub-Mediterranean mixed oak forest type, whereas the lowest was in Mediterranean mixed forest type. Three larval feeding modes (saproxylic, and phytophagous on bulbs or roots) were found to be most important for determining the probability of a species contributing to hoverfly dark diversity, based on univariate correlations and random forest analysis. 4. This study shows that studying dark diversity might provide important insights into what drives community assembly in south-eastern European hoverflies, especially its missing components, and contributes to more precise conservation prioritisation of both hoverfly species and their habitats.Peer reviewe

    Habitat requirements of Tetanocera elata (Diptera: Sciomyzidae): case study of a dry meadow in western Ireland

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    Terrestrial slugs are pervasive pests of agriculture throughout temperate regions and have the potential to disrupt the germination of seedlings, cause damage to fruiting bodies of crops, and vector plant pathogens. Tetanocera elata Fabricius (Diptera: Sciomyzidae), a widely distributed Palaearctic species, is an obligate mesoparasitoid and predator of pestiferous slugs including Deroceras reticulatum Müller (Stylommatophora: Agriolimacidae). It has the potential to be developed as a native natural enemy in a conservation biological control programme as an alternative to chemical molluscicides. To better understand the ecological requirements of this species, a detailed observational study was conducted at a site in the west of Ireland possessing naturally occurring T. elata populations. Comparison of local patches where T. elata were recovered revealed no association with plant community composition. Taller dead vegetation was associated with T. elata presence throughout the site. Within the area of greatest T. elata aggregation, there was a significantly greater percentage cover of dead vegetation where T. elata occurred. Abundance of T. elata was also significantly correlated to hedgerow proximity. Results of this study are directly applicable for the design of a conservation biological control programme, which effectively satisfies the principal habitat requirements of T. elata populations

    Modelling the probability of microhabitat formation on trees using cross-sectional data

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    The rate of TreM formation per unit diameter growth was modelled as a function of tree diameter at breast height (DBH), and the model was calibrated considering cross-sectional observations TreMs on trees of different sizes. The model predicted realistic TreM formation rates at the tree and stand levels in forests dominated by Abies alba and Fagus sylvatica. This approach opens new perspectives to the analysis of forest biodiversity conservation strategies

    Knowledge representation using fuzzy coded variables: an example based on the use of Syrphidae (Insecta, Diptera) in the assessment of riverine wetlands

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    An account is given of the development of a data-analysis system incorporating digitized information about ecological and biological traits of species, for use in environmental evaluation procedures. Fuzzy-coding of ecological traits is highlighted as being a valuable tool in this system: (i) it allows a quick and standardized transcription of the experts' knowledge about groups of species, (ii) it encapsulates the flexibility of some of the species traits or the varying degrees of precision with which they are known, (iii) it builds up numerical sets which can be processed with standard ordination methods and can therefore be incorporated into inter-battery analyses (e.g. co-inertia analysis) of field observation data and knowledge data bases. As an example, use of fuzzy-coded information for species of hoverflies (Syrphidae) in assessment of riverine wetland ecosystems is demonstrated, based on sites on the rivers Allier and Loire in central France

    Species selection tool for the Syrph the Net Database

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    A methodological approach to the use of terrestrial invertebrates for the assessment of alluvial wetlands

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    We review progress toward developing a data-analysis system using invertebrate species lists in wetland evaluation procedures. Species lists for Mollusca, Carabidae (Coleoptera), Empidoidea and Syrphidae (Diptera), derived from samples collected at six stations along a transect established at a site on the floodplain of the River Loire (France) provide the raw data. An initial analysis using a traditional ordination method (Correspondence Analysis) is carried out. A data base was established for the 118 mollusc, carabid and syrphid species recorded, and each species was then treated not as a simple integer, but as an amalgam of digitised attributes deemed responsive to wetland conditions, in a correspondence analysis on instrumental variables. Despite the generalized nature of the attributes as defined for this example, the approach demonstrates a marked increase in interpretability of the output of analysis, in respect of the relation between the species and the floodplain environment. It also highlights the value of use of data pertaining to more than one taxonomic group and of selecting these taxonomic groups on the basis of complementarity of their ‘bioindicator' potential
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