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showing 10 items of 363 documents

Modelling soil moisture at SMOS scale by use of a SVAT model over the Valencia Anchor Station

2010

16 páginas, 9 figuras, 5 tablas.

010504 meteorology & atmospheric sciencestélédétectionMISSION SMOS0211 other engineering and technologiesSpaceespagne02 engineering and technologylcsh:Technology01 natural sciencesValidationTraitement du signal et de l'imagelcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentlcsh:Environmental sciencesComputingMilieux_MISCELLANEOUSlcsh:GE1-350InclusionRetrievalMoistureModelling soil moistureSignal and Image processinglcsh:Geography. Anthropology. RecreationRemote sensingDISPOSITIF EXPERIMENTAL; MISSION SMOSProductseurope[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSMOS[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringGrowing seasonParameterizationSpatial distributionlcsh:TD1-1066SchemeHapexspectroradiomètre14. Life underwater[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerlcsh:TAMSR-Epays méditerranéenSalinityERS scatterometerlcsh:G13. Climate actionDISPOSITIF EXPERIMENTALSoil waterEnvironmental scienceRadiometry
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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Phenological and intrinsic predictors of mite and haemacoccidian infection dynamics in a Mediterranean community of lizards

2021

Ectotherms are vulnerable to environmental changes and their parasites are biological health indicators. Thus, parasite load in ectotherms is expected to show a marked phenology. This study investigates temporal host–parasite dynamics in a lizard community in Eastern Spain during an entire annual activity period. The hosts investigated were Acanthodactylus erythrurus, Psammodromus algirus and Psammodromus edwardsianus, three lizard species coexisting in a mixed habitat of forests and dunes, providing a range of body sizes, ecological requirements and life history traits. Habitat and climate were considered as potential environmental predictors of parasite abundance, while size, body conditi…

0106 biological sciences0301 basic medicineMaleMite InfestationsRange (biology)ForestsParasitemia010603 evolutionary biology01 natural sciencesParasite loadParasite LoadLife history theory03 medical and health scienceshost–parasite dynamicsAbundance (ecology)Sandbiology.animalLacertidaeAnimalsEcological interactionsEcosystemAcanthodactylus erythrurusbiologyLizardEcologyCoccidiosisLizardsbiology.organism_classificationCoccidia030104 developmental biologyInfectious DiseasesSpainEctothermLinear ModelsAnimal Science and ZoologyParasitologyFemaleLacertidaeparasite phenologyResearch ArticleIberian PeninsulaParasitology
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MAB2.0 project: Integrating algae production into wastewater treatment

2018

Abstract Different species of microalgae are highly efficient in removing nutrients from wastewater streams and are able to grow using flue gas as a CO2 source. These features indicate that application of microalgae has a promising outlook in wastewater treatment. However, practical aspects and process of integration of algae cultivation into an existing wastewater treatment line have not been investigated. The Climate-KIC co-funded Microalgae Biorefinery 2.0 project developed and demonstrated this integration process through a case study. The purpose of this paper is to introduce this process by phases and protocols, as well as report on the challenges and bottlenecks identified in the cas…

0106 biological sciencesFlue gasBio Process EngineeringProcess (engineering)[SDV]Life Sciences [q-bio]Biomedical Engineeringwastewater treatment;microalgae;bioresource010501 environmental sciencesRaw material01 natural sciencesBiotecnologiaLead (geology)bioresourceAlgues010608 biotechnologyGeneticsProduction (economics)Life ScienceMolecular Biologyeaux usées0105 earth and related environmental sciencesmicroalgaeBiorefinery6. Clean watertraitement biologiquewastewater treatmentWastewater13. Climate action[SDE]Environmental SciencesMolecular MedicineSewage treatmentBBP Biorefinery & Sustainable Value ChainsBiochemical engineeringbioressourceAigües residuals Depuració Tractament biològicculture d'algueTP248.13-248.65Food ScienceBiotechnology
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EPIDEMIOLOGY OF PLASMODIUM RELICTUM INFECTION IN THE HOUSE SPARROW.

2014

International audience; : Abstract In vertebrates, multiple host characteristics and environmental factors are known to influence infectious disease dynamics. Here, we investigated variability in prevalence and parasitemia of Plasmodium relictum in the house sparrow (Passer domesticus), across a large number of rural and urban populations (n = 16). We found that prevalence was not predicted by any of the host traits investigated (age, sex, body mass or wing length). However, parasitemia was significantly higher in females when compared to males and in 1-yr-olds as compared to older individuals. Neither prevalence nor parasitemia differed according to habitat type (urban vs. rural). These re…

0106 biological sciencesMaleRural Populationmedicine.medical_specialtyPlasmodiumMalaria AvianUrban PopulationZoologyParasitemiaParasitemia010603 evolutionary biology01 natural sciences[ SDE ] Environmental Sciences03 medical and health sciencesSex FactorsAvian malariabiology.animalEpidemiologyparasitic diseasesmedicinePrevalenceAnimalsBody SizeWings AnimalEcology Evolution Behavior and SystematicsEcosystem030304 developmental biology0303 health sciencesSparrowbiologyEcologyAge FactorsDNA Protozoanbiology.organism_classificationmedicine.diseasePlasmodium relictum3. Good healthHabitatInfectious disease (medical specialty)[SDE]Environmental SciencesParasitologyFemaleFrancePasserSparrows
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Impact of host nutritional status on infection dynamics and parasite virulence in a bird-malaria system.

2014

10 pages; International audience; Host resources can drive the optimal parasite exploitation strategy by offering a good or a poor environment to pathogens. Hosts living in resource-rich habitats might offer a favourable environment to developing parasites because they provide a wealth of resources. However, hosts living in resource-rich habitats might afford a higher investment into costly immune defences providing an effective barrier against infection. Understanding how parasites can adapt to hosts living in habitats of different quality is a major challenge in the light of the current human-driven environmental changes. We studied the role of nutritional resources as a source of phenoty…

0106 biological sciencesPlasmodiumCanariesPopulationNutritional StatusParasitemiaBiologyParasitemia010603 evolutionary biology01 natural sciencesPlasmodium[SDV.MP.PRO]Life Sciences [q-bio]/Microbiology and Parasitology/Protistology03 medical and health sciencesenvironmental variationAvian malariamedicine[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsParasite hostingeducationEcology Evolution Behavior and Systematics030304 developmental biology2. Zero hunger0303 health scienceseducation.field_of_study[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologyHost (biology)Plasmodium relictum[ SDV.MP.PRO ] Life Sciences [q-bio]/Microbiology and Parasitology/Protistologymedicine.diseasebiology.organism_classificationAnimal Feedhost-parasite interactionPlasmodium relictumDietMalariaObligate parasitevirulencenutritionavian malariaAnimal Nutritional Physiological PhenomenaAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and Ecologypathogen[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Sensitive measure of prevalence and parasitaemia of haemosporidia from European blackbird (Turdus merula) populations: value of PCR-RFLP and quantita…

2006

8 pages; International audience; Haemosporidian parasites are common in birds in which they act as an important selective pressure. While most studies so far have focused on the effect of their prevalence on host life-history traits, no study has measured the effect of parasitaemia. We developed molecular methods to detect, identify and quantify haemosporidia in 2 natural populations of the Blackbird Turdus merula. Three different parasite genotypes were found - 1 Haemoproteus and 2 Plasmodium. A PCR-RFLP screening revealed that only approximately 3% of blackbirds were free of parasites, compared to the 34% of uninfected birds estimated by blood smear screening. A quantitative PCR (q-PCR) a…

0106 biological sciencesPlasmodiumMESH: ParasitemiaMESH: Protozoan Infections AnimalMESH : Protozoan Infections AnimalMESH : PrevalenceMESH : Bird DiseasesMESH : ParasitemiaParasitemia01 natural sciencesPlasmodiumPolymerase Chain ReactionMESH: Bird Diseases030308 mycology & parasitologylaw.inventionPCR-RFLPlawGenotype[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisParasite hostingMESH: AnimalsPasseriformesProtozoan Infections AnimalMESH : Polymerase Chain ReactionPolymerase chain reactionGenetics0303 health sciencesbiologyInfectious DiseasesMESH: HaemosporidaMESH : Sensitivity and SpecificityPolymorphism Restriction Fragment Length[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitologyfield populationsprevalenceZoology010603 evolutionary biologySensitivity and SpecificityparasitaemiaApicomplexa03 medical and health sciencesparasitic diseasesAnimalsTurdus merula[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyMESH: PrevalenceMESH : Polymorphism Restriction Fragment Length[SDV.GEN]Life Sciences [q-bio]/GeneticsHost (biology)Bird DiseasesMESH: PlasmodiumMESH: Polymorphism Restriction Fragment LengthMESH: PasseriformesMESH: Polymerase Chain Reactionbiology.organism_classificationHaemosporidaMESH : PasseriformesMESH: Sensitivity and SpecificityMESH : PlasmodiumHaemoproteusVector (epidemiology)Animal Science and ZoologyParasitologyHaemoproteusMESH : AnimalsMESH : Haemosporida[ SDV.GEN ] Life Sciences [q-bio]/Geneticsreal-time PCR[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Predictions of avian Plasmodium expansion under climate change.

2013

International audience; Vector-borne diseases are particularly responsive to changing environmental conditions. Diurnal temperature variation has been identified as a particularly important factor for the development of malaria parasites within vectors. Here, we conducted a survey across France, screening populations of the house sparrow (Passer domesticus) for malaria (Plasmodium relictum). We investigated whether variation in remotely-sensed environmental variables accounted for the spatial variation observed in prevalence and parasitemia. While prevalence was highly correlated to diurnal temperature range and other measures of temperature variation, environmental conditions could not pre…

0106 biological sciencesPlasmodium[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyClimate ChangeClimate changeParasitemiaEnvironmentBiologyParasitemia010603 evolutionary biology01 natural sciencesArticlelaw.invention03 medical and health scienceslawbiology.animalparasitic diseasesPrevalence[ SDV.EE.BIO ] Life Sciences [q-bio]/Ecology environment/BioclimatologymedicineAnimalsHumans[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyPasseriformes030304 developmental biology0303 health sciencesMultidisciplinarySparrow[SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal HealthEcologyDiurnal temperature variationTemperaturemedicine.diseasebiology.organism_classificationPlasmodium relictumMalaria3. Good healthTransmission (mechanics)13. Climate actionSpatial variability[ SDV.BA.MVSA ] Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/BioclimatologyMalaria
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Effect of repeated exposure to Plasmodium relictum (lineage SGS1) on infection dynamics in domestic canaries.

2010

7 pages; International audience; Parasites are known to exert strong selection pressures on their hosts and, as such, favour the evolution of defence mechanisms. The negative impact of parasites on their host can have substantial consequences in terms of population persistence and the epidemiology of the infection. In natural populations, however, it is difficult to assess the cost of infection while controlling for other potentially confounding factors. For instance, individuals are repeatedly exposed to a variety of parasite strains, some of which can elicit immunological memory, further protecting the host from subsequent infections. Cost of infection is, therefore, expected to be partic…

0106 biological sciencesPlasmodium[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologySecondary infectionCanariesMalaria AvianSecondary infectionPopulationDomestic canariesParasitemia010603 evolutionary biology01 natural sciencesPlasmodium03 medical and health sciencesPrimary infectionAvian malariamedicine[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimals[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyExperimental infectioneducation030304 developmental biology0303 health scienceseducation.field_of_study[ SDE.BE ] Environmental Sciences/Biodiversity and EcologybiologyPlasmodium relictumbiology.organism_classificationmedicine.diseasePlasmodium relictum3. Good healthInfectious DiseasesParasitologyImmunologyParasitology[SDE.BE]Environmental Sciences/Biodiversity and EcologyEpidemiological modelsMalaria[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Variational Approximations for Generalized Linear Latent Variable Models

2017

Generalized linear latent variable models (GLLVMs) are a powerful class of models for understanding the relationships among multiple, correlated responses. Estimation, however, presents a major challenge, as the marginal likelihood does not possess a closed form for nonnormal responses. We propose a variational approximation (VA) method for estimating GLLVMs. For the common cases of binary, ordinal, and overdispersed count data, we derive fully closed-form approximations to the marginal log-likelihood function in each case. Compared to other methods such as the expectation-maximization algorithm, estimation using VA is fast and straightforward to implement. Predictions of the latent variabl…

0106 biological sciencesStatistics and ProbabilityMathematical optimizationBinary numberfactor analysisLatent variableordination010603 evolutionary biology01 natural sciences010104 statistics & probabilityItem response theoryDiscrete Mathematics and CombinatoricsApplied mathematicslatent trait0101 mathematicsLatent variable modelMathematicsta112item response theoryFunction (mathematics)Latent class modelMarginal likelihoodfaktorianalyysipappisvihkimysmultivariate analysisvariational approximationStatistics Probability and UncertaintyCount data
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