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showing 10 items of 20402 documents

Ecology, Phylogeny, and Potential Nutritional and Medicinal Value of a Rare White “Maitake” Collected in a Mediterranean Forest

2020

Albino Grifola frondosa (Dicks.) Gray &ldquo

0106 biological sciencesGrifola frondosabioprospectingBiology01 natural sciences03 medical and health sciencesDry weightStaphylococcus epidermidisBotanypolypore fungupolypore fungusMediterranean forestInternal transcribed spacer<i>Grifola frondosa</i>lcsh:QH301-705.5Ribosomal DNAGrifola frondosa030304 developmental biologyNature and Landscape Conservation0303 health sciencesMushroomEcologySettore BIO/02 - Botanica SistematicaEcological Modeling<i>Quercus pubescens</i>ITS rDNAbiology.organism_classificationGrifolaAgricultural and Biological Sciences (miscellaneous)medicinal mushroomfungal diversityphylogeneticslcsh:Biology (General)Quercus pubescensSettore BIO/03 - Botanica Ambientale E ApplicataBasidiocarpphylogenetic010606 plant biology & botanybasidiomyceteDiversity
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The effect of the quality of diet on the functional response of Mytilus galloprovincialis (Lamarck, 1819): Implications for integrated multitrophic a…

2017

Abstract The integrated multi-trophic aquaculture (i.e., IMTA) is a practice combining organisms with different trophic levels with the final purpose of transforming the continuous waste of food by targeting species into nutrient input for other non-target species. This practice very often involves filter feeders, such as bivalves, by the use of which bioenergetics budgets are strongly influenced by the quality and quantity of different foods. However, to date, scant information is available, to really understand the rebounds of food availability on the growth performances of these harvested biomasses in the natural environment. By choosing the mussel Mytilus galloprovincialis as a model, t…

0106 biological sciencesGrowth performanceEcologybusiness.industryFeeding010604 marine biology & hydrobiologyFunctional responseMarine spatial planningAquatic ScienceBiologyPlankton010603 evolutionary biology01 natural sciencesLife history theoryFisheryHabitatAquacultureDynamic Energy Budget modelPhytoplanktonMusselbusinessTrophic levelAquaculture
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Dynamic Mathematical Modelling of the Removal of Hydrophilic VOCs by Biotrickling Filters

2015

A mathematical model for the simulation of the removal of hydrophilic compounds using biotrickling filtration was developed. The model takes into account that biotrickling filters operate by using an intermittent spraying pattern. During spraying periods, a mobile liquid phase was considered, while during non-spraying periods, a stagnant liquid phase was considered. The model was calibrated and validated with data from laboratory- and industrial-scale biotrickling filters. The laboratory experiments exhibited peaks of pollutants in the outlet of the biotrickling filter during spraying periods, while during non-spraying periods, near complete removal of the pollutant was achieved. The gaseou…

0106 biological sciencesHealth Toxicology and Mutagenesisbiotrickling filtrationlcsh:MedicineLiquid phase010501 environmental sciences01 natural sciencesArticlelaw.inventionBioreactorslaw010608 biotechnologyvolatile organic compoundsparasitic diseasesmathematical modellingFiltration0105 earth and related environmental sciencesPollutantlcsh:RPublic Health Environmental and Occupational HealthEnvironmental engineeringQuímicaModels TheoreticalCarbon6. Clean waterVolumetric flow rateFilter (aquarium)13. Climate actionEnvironmental scienceair pollution controlFiltrationInternational Journal of Environmental Research and Public Health
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Deletion of GLX3 in Candida albicans affects temperature tolerance, biofilm formation and virulence.

2018

Candida albicans is a predominant cause of fungal infections in mucosal tissues as well as life-threatening bloodstream infections in immunocompromised patients. Within the human body, C. albicans is mostly embedded in biofilms, which provides increased resistance to antifungal drugs. The glyoxalase Glx3 is an abundant proteomic component of the biofilm extracellular matrix. Here, we document phenotypic studies of a glx3Δ null mutant concerning its role in biofilm formation, filamentation, antifungal drug resistance, cell wall integrity and virulence. First, consistent with its function as glyoxalase, the glx3 null mutant showed impaired growth on media containing glycerol as the carbon sou…

0106 biological sciencesHot TemperatureMutantAntifungal drugHyphaeVirulence01 natural sciencesApplied Microbiology and BiotechnologyMicrobiologyMicrobiology03 medical and health sciencesFilamentationCell Wall010608 biotechnologyCandida albicansAnimalsCandida albicans030304 developmental biology0303 health sciencesMice Inbred BALB CbiologyVirulenceBiofilmWild typeCandidiasisGeneral Medicinebiology.organism_classificationAldehyde OxidoreductasesSurvival AnalysisCorpus albicansDisease Models AnimalBiofilmsGene DeletionHeat-Shock ResponseFEMS yeast research
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Coupling agent-based with equation-based models to study spatially explicit megapopulation dynamics

2018

International audience; The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose combining equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to t…

0106 biological sciencesHybrid modellingTheoretical computer scienceComputer sciencePopulation[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]010603 evolutionary biology01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Travelling waveArvicolaPopulation growtheducation[SDV.EE]Life Sciences [q-bio]/Ecology environmenteducation.field_of_studySpatial contextual awareness010604 marine biology & hydrobiologyEcological ModelingDispersal15. Life on land[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpatial heterogeneityCoupling (computer programming)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Biological dispersalMontane ecology[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][SDE.BE]Environmental Sciences/Biodiversity and EcologyHybrid modelHybrid modelEcological Modelling
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Inferring individual fate from aquatic acoustic telemetry data

2020

13 pages, 8 figures, 1 table.-- This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

0106 biological sciencesInformation retrievalSurvivalComputer science010604 marine biology & hydrobiologyEcological ModelingFateNatural mortalityPredationDispersalVDP::Matematikk og Naturvitenskap: 400Creative commonsFishing mortality010603 evolutionary biology01 natural sciencesTelemetryTable (database)Acoustic telemetry14. Life underwaterLicenseFish behaviourEcology Evolution Behavior and Systematics
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Pest management under climate change: The importance of understanding tritrophic relations.

2018

11 pages; International audience; Plants and insects depend on climatic factors (temperature, solar radiation, precipitations, relative humidity and CO2) for their development. Current knowledge suggests that climate change can alter plants and insects development and affect their interactions. Shifts in tritrophic relations are of particular concern for Integrated Pest Management (IPM), because responses at the highest trophic level (natural enemies) are highly sensitive to warmer temperature. It is expected that natural enemies could benefit from better conditions for their development in northern latitudes and IPM could be facilitated by a longer period of overlap. This may not be the ca…

0106 biological sciencesIntegrated pest managementEnvironmental EngineeringInsecta010504 meteorology & atmospheric sciencesPhenological modelsClimate ChangeClimate changeLobesia botrana01 natural sciencesIntegrated Pest ManagementParasitoid[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisClimate changeEnvironmental ChemistryAnimalsVitisEconomic impact analysisHerbivoryWaste Management and Disposal0105 earth and related environmental sciencesTrophic levelddc:333.7-333.9[ SDE.BE ] Environmental Sciences/Biodiversity and EcologybiologyEcologyPhenologyTemperatureHumidity15. Life on landCarbon Dioxidebiology.organism_classificationPollutionHymenopteraLepidoptera010602 entomologySynchrony13. Climate actionBiological controlPest Control[SDE.BE]Environmental Sciences/Biodiversity and EcologyTrichogrammaTritrophic relations[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/SymbiosisThe Science of the total environment
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A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

2020

The European spruce bark beetle Ips typographus L. causes significant economic losses in managed coniferous forests in Central and Northern Europe. New infestations either occur in previously undisturbed forest stands (i.e., spot initiation) or depend on proximity to previous years’ infestations (i.e., spot spreading). Early identification of newly infested trees over the forested landscape limits the effective control measures. Accurate forecasting of the spread of bark beetle infestation is crucial to plan efficient sanitation felling of infested trees and prevent further propagation of beetle-induced tree mortality. We created a predictive model of subsequent year spot initiation and spo…

0106 biological sciencesIps typographusDecision support systemBark beetlemedicine.disease_causeFelling01 natural sciencesgisbark beetle infestationSatellite dataInfestationmedicinelcsh:ForestryDigital elevation modelNature and Landscape ConservationkovakuoriaisetEcologybiologyForestryForestryNorway Spruce04 agricultural and veterinary sciencesVegetationspatial predictive modelbiology.organism_classificationGISroc curvemetsäekosysteemitGeographyROC Curvenorway spruce040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:SD1-669.5010606 plant biology & botany
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The Eurasian Modern Pollen Database (EMPD), version 2

2020

The Eurasian (née European) Modern Pollen Database (EMPD) was established in 2013 to provide a public database of high-quality modern pollen surface samples to help support studies of past climate, land cover, and land use using fossil pollen. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives throughout the Eurasian region. The EPD is in turn part of the rapidly growing Neotoma database, which is now the primary home for global palaeoecological data. This paper describes version 2 of the EMPD in which the number of samples held in the database has been increased by 60% from 4826 to…

0106 biological sciencesLAKE CONSTANCE REGIONPalynology Palaeoecology Palaeoclimatology010504 meteorology & atmospheric sciencesHUMAN IMPACTrecent pollen deposition580 Plants (Botany)medicine.disease_cause01 natural sciences2417.10 Paleobotánicarecent pollen deposition[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestryddc:550SURFACE POLLENSOUTHERN NORWAYSDG 13 - Climate ActionComputingMilieux_MISCELLANEOUSlcsh:Environmental sciencesSDG 15 - Life on Landlcsh:GE1-3500303 health sciencesCLIMATE-CHANGEGEAPUSENI NATURAL PARKlcsh:QE1-996.5Foundation (engineering)European pollen database[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]EuropeLAST GLACIAL MAXIMUMGeographyNORTHERN IBERIAN PLATEAUpollenGE Environmental Sciences1171 Geosciences010506 paleontology[SDE.MCG]Environmental Sciences/Global ChangesEarth and Planetary Sciences(all)Library scienceClimate change[SDU.STU]Sciences of the Universe [physics]/Earth Sciences010603 evolutionary biologypollen; Europe; European pollen database; neotoma03 medical and health sciencesEurasian Modern Pollen Database2502.05 PaleoclimatologíaneotomaPollenmedicineSIERRA-NEVADA[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment0105 earth and related environmental sciences030304 developmental biologyBotánicaHOLOCENE VEGETATION HISTORYDAS15. Life on land2416.03 Palinología[SDE.ES]Environmental Sciences/Environmental and Societylcsh:Geology[SDU]Sciences of the Universe [physics]MCPGeneral Earth and Planetary Sciences[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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LTSER platforms as a place-based transdisciplinary research infrastructure: learning landscape approach through evaluation

2019

Context: Place-based transdisciplinary research involves multiple academic disciplines and non-academic actors. Long-Term Socio-Ecological Research (LTSER) platform is one concept with ~ 80 initiatives globally. Objectives: As an exercise in learning through evaluation we audited (1) the siting, construction and maintenance of individual LTSER platforms, and (2) them as a distributed infrastructure for place-based transdisciplinary research with focus on the European continent. Methods: First, we defined a normative model for ideal performance at both platform and network levels. Second, four surveys were sent out to the 67 self-reported LTSER platforms officially listed at the end of 2016.…

0106 biological sciencesLANDLearning through evaluationSocial-ecological systemGeography Planning and DevelopmentCONSERVATIONStakeholder engagementECOSYSTEM SERVICES010603 evolutionary biology01 natural sciencesStakeholder engagementEcosystem servicesNormative model of decision-makingSettore BIO/07 - ECOLOGIA11. SustainabilityMANAGEMENTSOCIAL-ECOLOGICAL SYSTEMSBIOSPHERE RESERVESTransdisciplinary researchNature and Landscape ConservationSustainable developmentEcologybusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementSCIENCE15. Life on landFORESTSocial–ecological systemEuropeGeographySocial system1181 Ecology evolutionary biology[SDE]Environmental SciencesSustainabilityLandscape approachBIODIVERSITYSCALESLandscape ecologybusinessDiscipline
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