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Laboratorio di ricerca

Lab. nameEcology and conservation of aquatic ecosystems 
Principal Investigator Daniela Prevedelli 
ComponentsDaniela Prevedelli  (Principal Investigator )
DescriptionWe address a broad range of ecological questions, including: - marine chemical ecology: we adopt a chemical and ecotoxicological approach to characterize natural products with biological activity defending marine annelids from their “enemies” (predators, competitors or parasites); - the study of phenotypic adaptations and evolutionary processes that permit life in changing environments: we explore plasticity of life histories (LH) and physiological traits (PT) of model polychaetes, in order to investigate the role of LH and PT in determining species capacities to cope with climate change and how differently widespread species will adapt to climate change. - the assessment of biodiversity of aquatic ecosystems: we investigate macroinvertebrates, fishes, amphibians and reptiles communities from freshwater environments, in order to asses their quality status and to promote actions for the conservation/restoration of habitats and/or species.  
Addressvia Giuseppe Campi, 287 - 41125 Modena 
KeywordsEcology, Aquatic communities, Anthropogenic effects, Climatic changes, Chemical defence 
ERC Sectors 
InstrumentationThermostatic chambers; aquaria; computer-controlled recirculating; stereomicroscopes; transmitted-light microscopes; computer-controlled recirculating ethylene glycol bath 
Research Lines Agrifood and Environment

Methodologies Marine chemical ecology: field sampling, lab cultures of polychaetes, chromatography (TLC, CC, LC-MS), ecotoxicological tests; Study of phenotypic adaptations and evolutionary processes: field sampling, lab cultures of polychaetes, thermal tolerance analysis and life table response experiments. Assessment of biodiversity of aquatic ecosystems: field sampling, count and identification of organism at the lowest possible taxonomic level, construction and analyses of community/environmental data matrices. A particular attention is devoted to experimental design, data analyses and interpretation through univariate and multivariate analyses.