Search results for "models"

showing 10 items of 8211 documents

In vivoanalysis of the lumenal binding protein (BiP) reveals multiple functions of its ATPase domain

2007

International audience; The endoplasmic reticulum (ER) chaperone binding protein (BiP) binds exposed hydrophobic regions of misfolded proteins. Cycles of ATP hydrolysis and nucleotide exchange on the ATPase domain were shown to regulate the function of the ligand-binding domain in vitro. Here we show that ATPase mutants of BiP with defective ATP-hydrolysis (T46G) or ATP-binding (G235D) caused permanent association with a model ligand, but also interfered with the production of secretory, but not cytosolic, proteins in vivo. Furthermore, the negative effect of BiP(T46G) on secretory protein synthesis was rescued by increased levels of wild-type BiP, whereas the G235D mutation was dominant. U…

0106 biological sciencesgenetic structuresRecombinant Fusion ProteinsATPaseBlotting WesternGreen Fluorescent ProteinsPlant ScienceBINDING PROTEINEndoplasmic ReticulumModels Biological01 natural sciencesChromatography Affinity[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics03 medical and health sciencesAdenosine TriphosphateTobaccoPROTEIN FOLDINGGeneticsImmunoprecipitationEndoplasmic Reticulum Chaperone BiPHSP70Heat-Shock Proteins030304 developmental biologyCHAPERONEAdenosine Triphosphatases0303 health sciencesbiologyHydrolysisProtoplastsEndoplasmic reticulumBinding proteinCell BiologyPlants Genetically ModifiedLigand (biochemistry)Secretory proteinBiochemistryChaperone (protein)MutationChaperone bindingbiology.proteinATPASEElectrophoresis Polyacrylamide GelProtein foldingMolecular ChaperonesProtein BindingSignal Transduction010606 plant biology & botanyThe Plant Journal
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Environmental Characteristics and Anthropogenic Impact Jointly Modify Aquatic Macrophyte Species Diversity

2018

Species richness and spatial variation in community composition (i.e. beta diversity) are key measures of biodiversity. They are largely determined by natural factors, but also increasingly affected by anthropogenic factors. Thus, there is a need for a clear understanding of the human impact on species richness and beta diversity, the underlying mechanisms, and whether human-induced changes can override natural patterns. Here, we dissect the patterns of species richness, community composition and beta diversity in relation to different environmental factors as well as human impact in one framework: aquatic macrophytes in 66 boreal lakes in Eastern Finland. The lakes had been classified as h…

0106 biological scienceshuman impactbiodiversity; beta diversity; community composition; eutrophication; human impact; null models species richness; water plantsBeta diversityBiodiversityPlant Sciencelcsh:Plant culture010603 evolutionary biology01 natural scienceslcsh:SB1-1110community compositionOriginal ResearchbiodiversityCommunityEcologyrehevöityminen010604 marine biology & hydrobiologySpecies diversityluonnon monimuotoisuusbiodiversiteettiMacrophytenull models species richnesseutrophicationta1181Environmental sciencebeta diversitySpatial variabilitySpecies richnessWater qualitywater plantsvesikasvitFrontiers in Plant Science
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Species co-occurrence networks of ground beetles in managed grasslands

2020

AbstractGrassland biodiversity, including traditional rural biotopes maintained by traditional agricultural practices, has become threatened worldwide. Road verges have been suggested to be complementary or compensatory habitats for species inhabiting grasslands. Species co-occurrence patterns linked with species traits can be used to separate between the different mechanisms (stochasticity, environmental filtering, biotic interactions) behind community structure. Here, we study species co-occurrence networks and underlying mechanisms of ground beetle species (Carabidae) in three different managed grassland types (meadows, pastures, road verges, n = 12 in each type) in Central Finland. We a…

0106 biological scienceslaitumetesiintyvyysBiodiversitytienpientareetkedotnurmet010603 evolutionary biology01 natural sciencesGrasslandGround beetlejoint species distribution modelsspecies traitsmaakiitäjäisetEcology Evolution Behavior and Systematicsbiodiversitygeography.geographical_feature_categoryEcologybiologyEcology010604 marine biology & hydrobiologyCommunity structureenvironmental filteringeliöyhteisötbiology.organism_classificationbiodiversiteettiGeographyHabitatAnimal ecologyThreatened speciesSpecies richnessCarabidae
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A spatially explicit risk assessment approach: Cetaceans and marine traffic in the Pelagos Sanctuary (Mediterranean Sea).

2017

15 páginas, 5 figuras, 2 tablas.-- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

0106 biological scienceslcsh:MedicineMarine and Aquatic SciencesTransportationStenella coeruleoalba01 natural sciencesMediterranean seaStenellaOceanslcsh:ScienceConservation ScienceMammalsMultidisciplinarybiologyFin WhaleMarine reserveFin WhalesHabitatsBottle-Nosed DolphinGeographyHabitatVertebratesEngineering and TechnologyResearch ArticleConservation of Natural ResourcesDolphinsMarine BiologySede Central IEO010603 evolutionary biologyRisk AssessmentBodies of waterbiology.animalMediterranean SeaAnimals14. Life underwaterMarine MammalsEcosystemShipsModels StatisticalBalaenoptera010604 marine biology & hydrobiologylcsh:REcology and Environmental SciencesOrganismsWhalesBiology and Life SciencesAquatic EnvironmentsPelagic zoneMarine spatial planningBayes Theorembiology.organism_classificationMarine EnvironmentsBoatsFisheryAmniotesEarth Scienceslcsh:QMarine protected area
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Modelling landscape constraints on farmland bird species range shifts under climate change

2018

Several studies estimating the effects of global environmental change on biodiversity are focused on climate change. Yet, non-climatic factors such as changes in land cover can also be of paramount importance. This may be particularly important for habitat specialists associated with human-dominated landscapes, where land cover and climate changes may be largely decoupled. Here, we tested this idea by modelling the influence of climate, landscape composition and pattern, on the predicted future (2021–2050) distributions of 21 farmland bird species in the Iberian Peninsula, using boosted regression trees and 10-km resolution presence/absence data. We also evaluated whether habitat specialist…

0106 biological sciencesmallintaminenEnvironmental Engineering010504 meteorology & atmospheric sciencesEnvironmental changeclimate changesBoosting regression treesClimate ChangeSpecies distributionta1172BiodiversityClimate changemodelling (creation related to information)ConservationGeneralist and specialist species010603 evolutionary biology01 natural sciencesmaisemaBirdsEnvironmental ChemistryAnimalsSpecialist and generalist speciesGlobal change scenariosWaste Management and DisposalEcosystem0105 earth and related environmental sciencesbiodiversityFarmland birdsEcologySpecies diversityBiodiversityilmastonmuutoksetlandscapePollutionbiodiversiteettiGeographyHabitatSpainbirdsEnvironmental envelope modelsta1181linnutSpecies richnessEnvironmental Monitoring
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Competition between marine mammals and fisheries in contemporary harvested marine ecosystems

2019

Competitive interactions between marine mammals and fisheries represent some of the most complex challenges in marine resource management worldwide. The development of commercial fisheries and recovering marine mammal populations have contributed to a decrease in fish availability. Whilst ecosystem-based fisheries management (EBFM) can counteract this decrease, achieving the EBFM objectives faces certain major obstacles including insufficient or unreliable data, inapplicable assessment models, as well as inadequate management decisions that do not account for fisheries-induced morphological alterations (FIMA) and marine mammal management. Despite a body of evidence addressing various aspect…

0106 biological sciencesprey-predator dynamicsmedia_common.quotation_subjectFisheriesmerikalastusFisheries-inducedAquatic ScienceEcosystem-based managementResource competition010603 evolutionary biology01 natural sciencesCompetition (biology)modelsPrey−predator dynamicsCentro Oceanográfico de Vigokalakantojen hoitopetoeläimetresource managementMarine ecosystemPinniped14. Life underwaterMedio Marinomarine mammalsEcology Evolution Behavior and Systematicsmedia_commonvalaatfishhylkeetEcologykalakannat010604 marine biology & hydrobiologyvesiekosysteemitCetaceanEcosystem-based managementFisherykalatalousGeography13. Climate actionkalavarat1181 Ecology evolutionary biologycompetitionMarine Ecology Progress Series
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The Strategic Reference Gene: an organismal theory of inclusive fitness

2019

How to define and use the concept of inclusive fitness is a contentious topic in evolutionary theory. Inclusive fitness can be used to calculate selection on a focal gene, but it is also applied to whole organisms. Individuals are then predicted to appear designed as if to maximise their inclusive fitness, provided that certain conditions are met (formally when interactions between individuals are 'additive'). Here we argue that applying the concept of inclusive fitness to organisms is justified under far broader conditions than previously shown, but only if it is appropriately defined. Specifically, we propose that organisms should maximise the sum of their offspring (including any accrued…

0106 biological sciencesselfish geneHamilton’s ruleEvolutionevoluutioKin selection010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesReference genekausaaliteettiSelection GeneticsukulaisvalintaQuantitative Biology - Populations and Evolutionsocial evolutionEvolutionary theorySelection (genetic algorithm)030304 developmental biologyGeneral Environmental Sciencesopeutuminen0303 health sciencesgeenitModels GeneticGeneral Immunology and MicrobiologyReproductionPopulations and Evolution (q-bio.PE)Inclusive fitnessGeneral MedicineBiological EvolutionCausalityPhenotypeEvolutionary biologyFOS: Biological scienceskausaliteettiGenetic FitnessAdaptationSocial evolutionGeneral Agricultural and Biological SciencesPsychology
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Extending Joint Models in Community Ecology : A Response to Beissinger et al.

2016

The joint modelling of many variables in community ecology is a new and technically challenging area with many opportunities for future developments. The possibility of extending joint models to deal with imperfect detection has been highlighted by Beissinger et al. as an important problem worthy of further investigation [1]. We agree, and previously pointed to this potential extension as an outstanding question [2], alongside models that can estimate phylogenetic repulsion or attraction, nonlinearity in the response to latent variables, and spatial or temporal correlation, because further developments in all these directions are needed.

0106 biological sciencesta112CommunityComputer science010604 marine biology & hydrobiologyjoint modelsLatent variableTemporal correlation010603 evolutionary biology01 natural sciencesExtension (metaphysics)EconometricsImperfectJoint (geology)Ecology Evolution Behavior and Systematicscommunity ecologyTrends in Ecology and Evolution
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Choosy beetles : How host trees and southern boreal forest naturalness may determine dead wood beetle communities

2021

Wood-living beetles make up a large proportion of forest biodiversity and contribute to important ecosystem services, including decomposition. Beetle communities in managed southern boreal forests are less species rich than in natural and near-natural forest stands. In addition, many beetle species rely primarily on specific tree species. Yet, the associations between individual beetle species, forest management category, and tree species are seldom quantified, even for red-listed beetles. We compiled a beetle capture dataset from flight intercept traps placed on Norway spruce (Picea abies), oak (Quercus sp.), and Eurasian aspen (Populus tremulae) trees in 413 sites in mature managed forest…

0106 biological sciencestalousmetsätSpecies distributionForest managementEndangered speciesluonnonmetsätNear-natural forestManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesjoint species distribution models (JSDMs)Ecosystem servicesindicator speciesuhanalaiset eläimetnear-natural forestRed-listed speciessaproxylic beetleslahopuutNature and Landscape ConservationkovakuoriaisetbiologyEcologyEcologyForest ScienceTaigaSaproxylic beetlesForestryPicea abieseliöyhteisöt15. Life on landJoint species distribution models (JSDMs)biology.organism_classificationbiodiversiteettiColeopterametsäekosysteemitGeographyHabitatIndicator speciesIndicator species1181 Ecology evolutionary biologyred-listed speciesindikaattorilajit010606 plant biology & botany
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