Search results for "amp"

showing 10 items of 10184 documents

Evaluating field-scale sampling methods for the estimation of mean plant densities of weeds

2000

The weed flora (comprising seven species) of a field continuously grown with soyabean was simulated for 4 years, using semivariograms established from previous field observations. Various sampling methods were applied and compared for accurately estimating mean plant densities, for differing weed species and years. The tested methods were based on (a) random selection wherein samples were chosen either entirely randomly, randomly with at least 10 or 20 m between samples, or randomly after stratifying the field; (b) systematic selection where samples were placed along diagonals or along zig-zagged lines across the field; (c) predicted Setaria viridis (L.) P. Beaux seedling maps which were us…

0106 biological sciencesbiologyEcologySetaria viridisField experimentSampling (statistics)Sample (statistics)04 agricultural and veterinary sciencesPlant Sciencebiology.organism_classification01 natural sciencesKrigingStatistics040103 agronomy & agriculture0401 agriculture forestry and fisheries[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyWeedVariogramAgronomy and Crop ScienceEcology Evolution Behavior and SystematicsSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUS010606 plant biology & botanyMathematics
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Epibiontes en juveniles de tortugas carey Eretmochelys imbricata varadas en la costa del Departamento de Rocha, Uruguay

2016

The hawksbill turtle (Eretmochelys imbricata) is the most threatened sea turtle species in the world. An important aspect of the biology of sea turtles is the study of colonizing fauna, i.e., their epibiota. The aim of this study is a taxonomic determination on the epibiota found on 4 hawksbills turtles stranded in 2009 and 2011 on the coast of Rocha Department, Uruguay. The epibiota was composed by algae from the class Phaeophyceae (Sphacelaria sp. and Hincksia mitchelliae) and invertebrates from the classes Cirripedia (Platylepas hexastylos, Chelonibia testudinaria and Amphibalanus improvisus) and Hirudinea (Ozobranchus margoi), with greater predominance of P. hexastylos cirripeds (n= 365…

0106 biological sciencesbiologyEcologyved/biologyFaunaHincksia mitchelliaeved/biology.organism_classification_rank.species010501 environmental sciencesAquatic SciencebarnaclesOceanographybiology.organism_classification010603 evolutionary biology01 natural sciencesSea turtleCheloniidaeAlgaeAmphibalanusThreatened speciesSouthwestern AtlanticPlatylepas hexastylos0105 earth and related environmental sciencesInvertebrateRevista de biología marina y oceanografía
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Genetic roadmap of the Arctic: plant dispersal highways, traffic barriers and capitals of diversity.

2013

This is the peer reviewed version of the following article: Eidesen, P.B., Ehrich, D., Bakkestuen, V., Alsos, I.G., Gilg, O., Taberlet, P. & Brochmann, C. (2013). Genetic roadmap of the Arctic: plant dispersal highways, traffic barriers and capitals of diversity. New Phytologist, 200(3), 898-910. https://doi.org/10.1111/nph.12412, which has been published in final form at https://doi.org/10.1111/nph.12412. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. We provide the first comparative multispecies analysis of spatial genetic structure and diversity in the circumpolar Arctic using a common strategy for sam…

0106 biological sciencescomparative phylogeographyPhysiologyGreenlandPlant Science01 natural sciencesGene flowrefugiaArcticRefugium (population biology)genetic structureVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Plantegeografi: 496Ice CoverAmplified Fragment Length Polymorphism AnalysisAtlantic OceanPhylogeny0303 health sciencesplant dispersalArctic RegionsEcologyDNA Chloroplastgenetic diversityPlantsPhylogeography[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]GeographyInterglacialGenetic structuregeographic locationsGene Flowgeographical information system (GIS)Pleistocenemplified fragment length polymorphisms (AFLP)[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBeringia03 medical and health sciencesEcosystem030304 developmental biology[ SDV.BID ] Life Sciences [q-bio]/BiodiversityGenetic diversity[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyPolymorphism Genetic[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]VDP::Mathematics and natural science: 400::Zoology and botany: 480::Plant geography: 49615. Life on landSiberiaHaplotypesArcticamplified fragment length polymorphisms (AFLP)[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Fruit body based inventories in wood-inhabiting fungi: Should we replicate in space or time?

2016

We assessed the effect of survey design on the results when conducting fruit body surveys of wood-inhabiting fungi. Our results demonstrate that the optimal design depends on the ecological question to be addressed, as well as the group of fungal species under research. If the aim is to record the total species richness in a dead wood unit or to estimate the population size of a species, repeating the survey over time is generally necessary. However, if the aim is to estimate the total species richness in the forest or to assess how environmental covariates influence species richness or community composition, it is generally more efficient to increase the number of dead wood units than to r…

0106 biological sciencesdata collectiontemporal autocorrelationDead woodPlant ScienceBiologyspatial autocorrelation010603 evolutionary biology01 natural sciencesstudy designPolyporalesSpatial analysisEcology Evolution Behavior and SystematicsEcologysampling methodEcologyEcological ModelingPopulation sizeSurvey researchReplicate15. Life on landbiology.organism_classificationwood-decaying fungiCommunity compositionpolyporalesta1181Species richnessfungal community010606 plant biology & botanyFungal Ecology
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Grazers increase β-diversity of vascular plants and bryophytes in wood-pastures

2016

Questions How does the presence of grazers impact plant diversity at various spatial scales? What are the effects on plant β-diversity and its two components, species turnover and nestedness? Are the effects caused by defoliation, trampling or defecating? Location Twenty-four currently grazed and 24 abandoned wood-pasture sites in Central Finland. Methods The species richness of vascular plants and bryophytes was studied at four spatial scales: within 4-m2 subplots (α1), within 100-m2 plots (α2), within sites (α3) and within the landscape (γ). β-Diversity was studied between subplots within plots (β1), between plots within sites (β2) and between sites within the landscape (β3). Results Curr…

0106 biological sciencesdefoliationEcologyEcologynestednesstramplingBiodiversityturnoverPlant ScienceBiology010603 evolutionary biology01 natural sciencesβ diversitydungGrazingSpatial ecologyNestednessta1181grazingSpecies richnessTramplingspecies richness010606 plant biology & botanyPlant diversityJournal of Vegetation Science
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Faster acquisition of symbiotic partner by common mycorrhizal networks in early plant life stage

2016

Arbuscular mycorrhizal (AM) fungi usually improve plant performance yet our knowledge about their effects on seed germination and early plant establishment is very limited. We performed a factorial greenhouse experiment where the seeds from four low Arctic cooccurring mycorrhizal herbs (Antennaria dioica, Campanula rotundifolia, Sibbaldia procumbens, and Solidago virgaurea) were germinated alone or in the vicinity of an adult Sibbaldia plant with or without AM fungi; given either as spores or being present in a common mycorrhizal network (CMN). Three different AM fungal species were examined to assess species-specific differences in symbiont acquisition rate. Out of the four plant species i…

0106 biological sciencesfood.ingredientseed germinationAntennaria dioicaarbuscular mycorrhizal fungiSibbaldia procumbens010603 evolutionary biology01 natural sciencesSolidago virgaureafoodlcsh:QH540-549.5BotanyMycorrhizal networkEcology Evolution Behavior and Systematicscommon mycorrhizal networkEcologybiologyfungita1183food and beverages15. Life on landseedling establishmentbiology.organism_classificationSporeSeedlingGerminationSolidago virgaureakissankellota1181C100 Biologylcsh:EcologyCampanula rotundifoliaCampanula rotundifoliaCotyledonAntennaria dioica010606 plant biology & botanyEcosphere
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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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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Spectroscopic analysis of hot-water- and dilute-acid-extracted hardwood and softwood chips

2017

Hot-water and dilute sulfuric acid pretreatments were performed prior to chemical pulping for silver/white birch (Betula pendula/B. pubescens) and Scots pine (Pinus sylvestris) chips to determine if varying pretreatment conditions on the original wood material were detectable via attenuated total reflectance (ATR) infrared spectroscopy. Pretreatment conditions varied with respect to temperature (130 °C and 150 °C) and treatment time (from 30 min to 120 min). The effects of the pretreatments on the composition of wood chips were determined by ATR infrared spectroscopy. The spectral data were compared to those determined by common wood chemistry analyses to evaluate the suitability of ATR spe…

0106 biological scienceshydrolyysiHot TemperatureSoftwoodkemiadilute acidinfrapunatekniikka02 engineering and technologyesikäsittelychemistrycomplex mixtures01 natural sciencesATR spectroscopyAnalytical Chemistrychemistry.chemical_compoundHydrolysismassanvalmistus010608 biotechnologySpectroscopy Fourier Transform InfraredHardwoodLigninOrganic chemistrySample preparationBiomassCelluloseCelluloseautohydrolysisInstrumentationChemical compositionta116SpectroscopyHydrolysistechnology industry and agricultureSulfuric acidSulfuric Acidspretreatment021001 nanoscience & nanotechnologyinfrared technologyAtomic and Molecular Physics and OpticsRefuse Disposalchemistryliuotus0210 nano-technologyAcidspuu (luonnonmateriaalit)Nuclear chemistrywoodSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
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Effect of Multiple Parasitic Infections on the Tolerance to Pollutant Contamination

2012

8 pages; International audience; The horizontally-transmitted acanthocephalan parasite Polymorphus minutus and the vertically-transmitted microsporidian parasite Dictyocoela roeselum have both been shown to influence on the antitoxic responses of mono-infected Gammarus roeseli exposed to cadmium. The present study investigates the effect of this co-infection on the antitoxic defence responses of naturally infected females exposed to cadmium stress. Our results revealed that, depending on the cadmium dose, bi-infection induced only slight, significant increased cell damage in G. roeseli as compared to non-infection. In addition, the antitoxic defence pattern of cadmium-exposed bi-infected ho…

0106 biological scienceslcsh:MedicineMarine and Aquatic Sciences[ SDV.TOX.ECO ] Life Sciences [q-bio]/Toxicology/EcotoxicologyHeavy MetalsMicrosporidiosis01 natural sciencesAntioxidantsAcanthocephalaToxicologyWater QualityMalondialdehydeMolecular Cell BiologyMicrosporidiosis[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisParasite hostinglcsh:ScienceCellular Stress ResponsesFreshwater Ecology0303 health sciencesCadmiumMultidisciplinarybiologyGlutathioneHost-Pathogen InteractionMicrosporidiaFemale[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/EcotoxicologyHelminthiasis AnimalResearch ArticleCadmium[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitologychemistry.chemical_elementZoologyMicrobiology010603 evolutionary biology03 medical and health sciencesStress PhysiologicalGammarus roeselimedicineAnimals[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyAmphipodaLigase activityBiologyCell damage030304 developmental biology[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyPopulation BiologyHost (biology)lcsh:RParasite Physiologybiology.organism_classificationmedicine.diseasechemistryMicrosporidiaEarth Scienceslcsh:QParasitologyPopulation Ecology[SDE.BE]Environmental Sciences/Biodiversity and EcologyEnergy MetabolismBiomarkersWater Pollutants Chemical[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/SymbiosisPLoS ONE
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