Search results for " Method."

showing 10 items of 10241 documents

Decoding Group Vocalizations: The Acoustic Energy Distribution of Chorus Howls Is Useful to Determine Wolf Reproduction

2016

Population monitoring is crucial for wildlife management and conservation. In the last few decades, wildlife researchers have increasingly applied bioacoustics tools to obtain information on several essential ecological parameters, such as distribution and abundance. One such application involves wolves (Canis lupus). These canids respond to simulated howls by emitting group vocalizations known as chorus howls. These responses to simulated howls reveal the presence of wolf litters during the breeding period and are therefore often used to determine the status of wolf populations. However, the acoustic structure of chorus howls is complex and discriminating the presence of pups in a chorus i…

0106 biological sciencesEntropyPopulation Dynamicslcsh:MedicineWildlife01 natural sciencesVocalizationMathematical and Statistical Techniqueslcsh:ScienceAnimal Signaling and CommunicationIberian wolfMammalseducation.field_of_studyMultidisciplinarybiologyAnimal BehaviorBehavior AnimalEcologyPhysicsReproductionAcoustic energyCanisPhysical SciencesVertebratesThermodynamicsCartographyStatistics (Mathematics)Research ArticleConservation of Natural ResourcesBioacousticsAnimal TypesPopulationResearch and Analysis Methods010603 evolutionary biologyCoyotesAcoustic SignalsAnimalsWildlife managementStatistical MethodseducationEcosystemBehaviorWolvesReproductive success010604 marine biology & hydrobiologylcsh:RChorusOrganismsBiology and Life SciencesAcousticsJackalsModels Theoreticalbiology.organism_classificationAmnioteslcsh:QVocalization AnimalZoologyBioacousticsMathematicsForecasting
researchProduct

Determining Cellulolytic Activity of Microorganisms

2020

Abstract Decomposition of cellulose to glucose requires complex cooperation of glycoside hydrolase enzymes. As a result of glycoside β-1,4 bonds hydrolysis, shorter chains of cellulose, oligodextrin, cellobiose and glucose are created. A number of bacteria and fungi demonstrate the capacity to degrade cellulose. Their activity can be assessed with the use of qualitative and quantitative methods. Qualitative methods with the use of e.g. Congo red, are used in screening studies, however, they do not provide information about the quantity of the produced enzyme. Spectrophotometric methods are more accurate and they measure the quantities of reducing sugars with the use of appropriate substrate…

0106 biological sciencesEnvironmental EngineeringEcologyChemistryMicroorganism010501 environmental sciences01 natural sciencesEducationdetermination methodscellulolytic microorganismscellulolytic activity010608 biotechnologyEnvironmental ChemistryFood sciencecellulolytic enzymes0105 earth and related environmental sciencesChemistry-Didactics-Ecology-Metrology
researchProduct

Advanced methods of plant disease detection. A review

2014

International audience; Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we d…

0106 biological sciencesEnvironmental Engineering[SDV]Life Sciences [q-bio]DiseaseBiology01 natural sciences03 medical and health sciencesCommercial kitsVolatile organic compoundsSpectroscopyPlant disease030304 developmental biology2. Zero hunger0303 health sciencesbusiness.industryDNA-based methods Immunological assays Spectroscopy Biophotonics Plant disease Remote sensing Volatile organic compounds Commercial kitsEffective managementExtremely HelpfulRemote sensingPlant diseaseCrop protectionBiotechnologyRisk analysis (engineering)DNA-based methodsImmunological assaysBiophotonicsbusinessAgronomy and Crop Science010606 plant biology & botany
researchProduct

Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
researchProduct

Comparison of Bayesian and numerical optimization-based diet estimation on herbivorous zooplankton

2020

Consumer diet estimation with biotracer-based mixing models provides valuable information about trophic interactions and the dynamics of complex ecosystems. Here, we assessed the performance of four Bayesian and three numerical optimization-based diet estimation methods for estimating the diet composition of herbivorous zooplankton using consumer fatty acid (FA) profiles and resource library consisting of the results of homogeneous diet feeding experiments. The method performance was evaluated in terms of absolute errors, central probability interval checks, the success in identifying the primary resource in the diet, and the ability to detect the absence of resources in the diet. Despite …

0106 biological sciencesFood ChainBayesian probability010603 evolutionary biology01 natural sciencesZooplanktonGeneral Biochemistry Genetics and Molecular BiologyDistance measuresZooplanktonFASTARStatisticsAnimalsravintoaineetMixSIARHerbivoryMathematicsTrophic levelestimointi2. Zero hungerEstimationHerbivorefood web010604 marine biology & hydrobiologybayesilainen menetelmäplanktonFatty AcidsBayes TheorembiotracersArticlesFood webDietDaphniaQFASAvesikirputGeneral Agricultural and Biological SciencesEstimation methodsravintoverkotFood Analysis
researchProduct

Plot - A new tool for global vegetation analyses

2019

23Biodiversity Conservation Department, ISPRA – Italian National Institute for Environmental Protection and Research, Rome, Italy

0106 biological sciencesGender and DiversityBos- en LandschapsecologieBiomeэкология сообществPlant Scienceэкоинформатика[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesAbundance (ecology)EcoinformaticsForest and Landscape EcologyMacroecologyResearch methodology and philosophyрастительностьbiodiversityEcologyvascular plantPlot база данныхVegetation[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCfunctional diversityGeography580: Pflanzen (Botanik)Ecosystems Researchvegetation relevémacroecologyPlantenecologie en Natuurbeheerphylogenetic diversityVegetatie Bos- en Landschapsecologievegetation relevebiodiversity ; community ecology ; ecoinformatics ; functional diversity ; global scale ; macroecology ; phylogenetic diversity ; plot database ; staxonomic ; diversity ; vascular plant ; vegetation relevé/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaftContext (language use)Plant Ecology and Nature Conservationecoinformatic010603 evolutionary biologySustainability Scienceecoinformatics[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcoinformaticsbiodiversity; community ecology; ecoinformatics; functional diversity; global scale; macroecology; phylogenetic diversity; plot database; sPlot; taxonomic diversity; vascular plant; vegetation relevé577: Ökologieplot database/dk/atira/pure/core/keywords/biologyVegetatieVegetationsPlotPlant communityMacroecology Phylogenetic diversitybiodiversity; community ecology; ecoinformatics; functional diversity; global scale; macroecology; phylogenetic diversity; plot database; sPlot; taxonomic diversity; vascular plant; vegetation releve15. Life on landтаксономическое разнообразиеtaxonomic diversityglobal scaleбиоразнообразиеCrop husbandrySpecies richnessPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecology/dk/atira/pure/core/keywords/gender_and diversityфилогенетическое разнообразиемакроэкологияcommunity ecology010606 plant biology & botany
researchProduct

Impact of Pressurized Liquid Extraction and pH on Protein Yield, Changes in Molecular Size Distribution and Antioxidant Compounds Recovery from Spiru…

2021

The research aims to extract nutrients and bioactive compounds from spirulina using a non-toxic, environmentally friendly and efficient method—Pressurized Liquid Extraction (PLE). In this work, Response Surface Methodology (RSM)–Central Composite Design (CCD) was used to evaluate and optimize the extraction time (5–15 min), temperature (20–60 °C) and pH (4–10) during PLE extraction (103.4 bars). The multi-factor optimization results of the RSM-CCD showed that under the pressure of 103.4 bars, the optimal conditions to recover the highest content of bioactive compounds were 10 min, 40 °C and pH 4. Furthermore, the compounds and antioxidant capacity of PLE and non-pressurized extraction extra…

0106 biological sciencesHealth (social science)AntioxidantPLEmedicine.medical_treatmentTP1-1185Plant Science01 natural sciencesHealth Professions (miscellaneous)MicrobiologyArticleCinnamic acidchemistry.chemical_compoundTriple TOF–LC–MS–MS0404 agricultural biotechnology010608 biotechnologymedicineResponse surface methodologySodium dodecyl sulfatePolyacrylamide gel electrophoresisCarotenoidRSM-CCDchemistry.chemical_classificationbioactive compoundsChromatographyChemical technologymicroalgaeExtraction (chemistry)04 agricultural and veterinary sciences040401 food science6. Clean waterchemistryPolyphenolSDS-PAGEFood ScienceFoods
researchProduct

Improving the conservation of Mediterranean Chondrichthyans : the ELASMOMED DNA barcode reference library

2017

Cartilaginous fish are particularly vulnerable to anthropogenic stressors and environmental change because of their K-selected reproductive strategy. Accurate data from scientific surveys and landings are essential to assess conservation status and to develop robust protection and management plans. Currently available data are often incomplete or incorrect as a result of inaccurate species identifications, due to a high level of morphological stasis, especially among closely related taxa. Moreover, several diagnostic characters clearly visible in adult specimens are less evident in juveniles. Here we present results generated by the ELASMOMED Consortium, a regional network aiming to sample …

0106 biological sciencesHeredityMolecular biologySpeciationBiodiversitySettore BIO/05 - Zoologialcsh:MedicineJuvenileEvolutionary biologyBarcodeBiochemistry01 natural sciencesDNA barcodinglaw.inventionlawDNA librarieslcsh:ScienceChondrichthyesSpecimens IdentificationData ManagementMolecular systematicsMultidisciplinaryGeographyMediterranean RegionEcologyCryptic speciationFishesBiodiversityMorphological stasiMitochondrial DNANucleic acidsGenetic MappingPhylogeographyBiogeographyDNA Barcode Reference LibraryDNA barcoding TaxonomicVertebratesDNA data banksResearch ArticleComputer and Information SciencesConservation of Natural ResourcesEvolutionary ProcessesEvolutionary systematicsBarcoding Chondrichthyans Conservation Mediterranean Sea mtDNACartilaginous fishConservationBiologyPhylogeographic structure010603 evolutionary biologyMolecular taxonomySpecies SpecificityEndemic SpeciesGeneticsMediterranean SeaAnimalsDNA Barcoding TaxonomicDNA barcoding14. Life underwaterEndemismTaxonomyPopulation Biology010604 marine biology & hydrobiologylcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesDNAResearch and analysis methodsPhylogeographyMolecular biology techniquesTaxonHaplotypesThreatened speciesEarth SciencesSharksConservation statuslcsh:QPopulation GeneticsMarine biodiversity conservationElasmobranchii
researchProduct

Precision, Applicability, and Economic Implications: A Comparison of Alternative Biodiversity Offset Indexes

2021

AbstractThe rates of ecosystem degradation and biodiversity loss are alarming and current conservation efforts are not sufficient to stop them. The need for new tools is urgent. One approach is biodiversity offsetting: a developer causing habitat degradation provides an improvement in biodiversity so that the lost ecological value is compensated for. Accurate and ecologically meaningful measurement of losses and estimation of gains are essential in reaching the no net loss goal or any other desired outcome of biodiversity offsetting. The chosen calculation method strongly influences biodiversity outcomes. We compare a multiplicative method, which is based on a habitat condition index develo…

0106 biological sciencesINDICATORSConservation of Natural Resourcesekologinen kompensaatioköyhtyminenBiodiversity offsettingOffset (computer science)arviointimenetelmätComputer scienceCONSERVATIONBiodiversityDIVERSITY010603 evolutionary biology01 natural sciencesOutcome (game theory)ArticleRICHNESSAdditive functionEconometricsEcosystem1172 Environmental sciencesRESTORATIONEstimationMotivationGlobal and Planetary ChangeEcology010604 marine biology & hydrobiologyMultiplicative functionkustannustehokkuusEcological compensationBiodiversity15. Life on landFINLANDluonnon monimuotoisuusPollutionBiodiversity calculation methodkompensointibiodiversiteettiECOLOGICAL EQUIVALENCEINSIGHTSHabitat destructionBiodiversity offsetting13. Climate actionPOLYPORESNo net losslaskentamallit511 EconomicsTrade ratioDEAD WOOD
researchProduct

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
researchProduct