Search results for "41"

showing 10 items of 3365 documents

Does plant diversity influence phosphorus cycling in experimental grasslands?

2011

Plant diversity was shown to influence the N cycle, but plant diversity effects on other nutrients remain unclear. We tested whether plant species richness or the presence/absence of particular functional plant groups influences P partitioning among differently extractable pools in soil, P concentrations in soil solution, and exploitation of P resources (i.e. the proportion of total bioavailable P in plants and soil that was stored in aboveground biomass) by the plant community in a 5-year biodiversity experiment in grassland.The experimental grassland site established in 2002 had 82 plots with different combinations of numbers of species (1, 2, 4, 8, 16, 60) and functional groups (grasses,…

0106 biological sciencesBiodiversitySoil ScienceBiology010603 evolutionary biology01 natural sciencescomplex mixturesSustainability ScienceGrasslandPlant P uptakeP in soil solutionNutrientLeaching (agriculture)/dk/atira/pure/core/keywords/biologyBiology2. Zero hungerBiomass (ecology)geographygeography.geographical_feature_categorySoil organic matter/dk/atira/pure/core/keywords/559922418food and beveragesPlant communityPhosphorus04 agricultural and veterinary sciences15. Life on landP fractions in soilAgronomyPlant diversityEcosystems Research040103 agronomy & agriculture0401 agriculture forestry and fisheriesSpecies richness/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft
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sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

2021

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code

0106 biological sciencesBiomeBos- en LandschapsecologieBiodiversityDIVERSITYFOREST VEGETATION01 natural sciences//purl.org/becyt/ford/1 [https]http://aims.fao.org/aos/agrovoc/c_915Abundance (ecology)big dataVegetation typePHYTOSOCIOLOGICAL DATABASEparcelleForest and Landscape Ecologyfunctional traitsvascular plantsbig data; biodiversity; biogeography; database; functional traits; macroecology; vascular plants; vegetation plotsbig data ; biodiversity ; biogeography ; database ; functional traits ; macroecology ; vascular plants ; vegetation plotsMacroecologyhttp://aims.fao.org/aos/agrovoc/c_3860databasebiodiversity[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyhttp://aims.fao.org/aos/agrovoc/c_33949vascular plantVegetationF70 - Taxonomie végétale et phytogéographiePE&RCVegetation plotGeography580: Pflanzen (Botanik)Ecosystems Researchhttp://aims.fao.org/aos/agrovoc/c_25409Diffusion de l'informationmacroecologyPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieBiodiversitéARCHIVECommunauté végétalehttp://aims.fao.org/aos/agrovoc/c_24420Evolutionhttp://aims.fao.org/aos/agrovoc/c_fdfbb37f[SDE.MCG]Environmental Sciences/Global ChangesBiogéographieGRASSLAND VEGETATIONPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBehavior and SystematicsCouverture végétale577: ÖkologiePLANThttp://aims.fao.org/aos/agrovoc/c_8176//purl.org/becyt/ford/1.6 [https]/dk/atira/pure/core/keywords/biologyfunctional traitBiologyEcology Evolution Behavior and SystematicsVegetatiebiogeographyVegetation010604 marine biology & hydrobiology/dk/atira/pure/core/keywords/559922418Impact sur l'environnementDRY GRASSLANDSPlant community15. Life on landVégétationWETLAND VEGETATIONhttp://aims.fao.org/aos/agrovoc/c_45b5a34avegetation plotsEarth and Environmental SciencesUNIVERSITYPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologydonnées ouverteshttp://aims.fao.org/aos/agrovoc/c_32514Global and Planetary Change
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Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

2018

International audience; Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types.…

0106 biological sciencesCanopyEarth observationPhoton010504 meteorology & atmospheric sciencesF40 - Écologie végétalehttp://aims.fao.org/aos/agrovoc/c_1920Soil Science01 natural sciencesMeasure (mathematics)http://aims.fao.org/aos/agrovoc/c_7701Multi-angle remote sensingProbability theoryhttp://aims.fao.org/aos/agrovoc/c_718Foliage clumping indexRange (statistics)http://aims.fao.org/aos/agrovoc/c_3081[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputers in Earth SciencesLeaf area indexhttp://aims.fao.org/aos/agrovoc/c_4039http://aims.fao.org/aos/agrovoc/c_4116Photon recollision probabilityhttp://aims.fao.org/aos/agrovoc/c_10672http://aims.fao.org/aos/agrovoc/c_32450105 earth and related environmental sciencesMathematicsRemote sensinghttp://aims.fao.org/aos/agrovoc/c_8114GeologyVegetationhttp://aims.fao.org/aos/agrovoc/c_5234http://aims.fao.org/aos/agrovoc/c_7558Leaf area indexhttp://aims.fao.org/aos/agrovoc/c_7273http://aims.fao.org/aos/agrovoc/c_1236http://aims.fao.org/aos/agrovoc/c_1556U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_4026010606 plant biology & botanyhttp://aims.fao.org/aos/agrovoc/c_6124
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Spatial Variation of Leaf Optical Properties in a Boreal Forest Is Influenced by Species and Light Environment

2017

Leaf Optical Properties (LOPs) convey information relating to temporally dynamic photosynthetic activity and biochemistry. LOPs are also sensitive to variability in anatomically related traits such as Specific Leaf Area (SLA), via the interplay of intra-leaf light scattering and absorption processes. Therefore, variability in such traits, which may demonstrate little plasticity over time, potentially disrupts remote sensing estimates of photosynthesis or biochemistry across space. To help to disentangle the various factors that contribute to the variability of LOPs, we defined baseline variation as variation in LOPs that occurs across space, but not time. Next we hypothesized that there wer…

0106 biological sciencesCanopyPIGMENT010504 meteorology & atmospheric sciencesSpecific leaf areaPlant SciencePhotochemical Reflectance IndexAtmospheric sciences01 natural sciencesleaf optical propertiesPHOTOCHEMICAL REFLECTANCE INDEXCANOPYLEAVESCHLOROPHYLL FLUORESCENCE EMISSIONNITROGEN-CONTENTSCOTS PINEChlorophyll fluorescenceOriginal ResearchCONIFER NEEDLES0105 earth and related environmental sciences4112 Forestryphotosynthesischlorophyll fluorescencebiologyEcologyTaigaScots pine15. Life on landbiology.organism_classificationDECIDUOUS FORESTbaselineBoreal13. Climate actionEnvironmental scienceSpatial variabilityPRI010606 plant biology & botanyFrontiers in Plant Science
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Effect of pulp cell number and assimilate availability on dry matter accumulation rate in a banana fruit (Musa sp. AAA group 'Grande Naine' (Cavendis…

2001

Fruit position on the bunch (inflorescence) is an important part of variability in banana fruit weight at harvest, as fruits at the bottom of the bunch (distal fruits) are approx. 40% smaller than those at the top (proximal fruits). In this study, the respective roles of cell number and cell filling rate in the development of pulp dry weight are estimated. To this end, the source/sink ratio in the plant was altered at different stages of fruit development. Leaf shading (reducing resource availability), bunch bagging (increasing sink activity by increasing fruit temperature), and bunch trimming (decreasing sink size by fruit pruning), applied once cell division had finished, showed that the …

0106 biological sciencesCell numberFruit developmentF62 - Physiologie végétale - Croissance et développementPlant ScienceBiology01 natural sciencesSink (geography)[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics03 medical and health sciencesFilling rateCelluleDry weightstomatognathic systemBananeDry matterPulpe de fruitshttp://aims.fao.org/aos/agrovoc/c_3126Croissancehttp://aims.fao.org/aos/agrovoc/c_4993ComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health sciencesgeographygeography.geographical_feature_categoryhttp://aims.fao.org/aos/agrovoc/c_1418BANANIERfungifood and beveragesMusaECOPHYSIOLOGIE[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsTempératurehttp://aims.fao.org/aos/agrovoc/c_921Relation source puitsstomatognathic diseaseshttp://aims.fao.org/aos/agrovoc/c_3394http://aims.fao.org/aos/agrovoc/c_7657AgronomyInflorescencehttp://aims.fao.org/aos/agrovoc/c_806http://aims.fao.org/aos/agrovoc/c_34110Shading010606 plant biology & botanyDéveloppement biologique
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Improved Extraction Efficiency of Antioxidant Bioactive Compounds from Tetraselmis chuii and Phaedoactylum tricornutum Using Pulsed Electric Fields

2020

Pulsed electric fields (PEF) is a promising technology that allows the selective extraction of high-added value compounds by electroporation. Thus, PEF provides numerous opportunities for the energy efficient isolation of valuable microalgal bioactive substances (i.e., pigments and polyphenols). The efficiency of PEF-assisted extraction combined with aqueous or dimethyl sulfoxide (DMSO) solvents in recovering pigments and polyphenols from microalgae Tetraselmis chuii (T. chuii) and Phaeodactylum tricornutum (P. tricornutum) was evaluated. Two PEF treatments were applied: (1 kV/cm/400 pulses, 3 kV/cm/45 pulses), with a specific energy input of 100 kJ/kg. The total antioxidant capacity (TAC) …

0106 biological sciencesChlorophyll bAntioxidantmedicine.medical_treatmentPharmaceutical ScienceTetraselmis chuii01 natural sciencesPhaeodactylum tricornutumArticleAntioxidantsAnalytical Chemistrylcsh:QD241-441chemistry.chemical_compound0404 agricultural biotechnologylcsh:Organic chemistryChlorophyta010608 biotechnologyDrug DiscoverymedicineMicroalgaePhaeodactylum tricornutum<i>Phaeodactylum tricornutum</i>Physical and Theoretical ChemistryTetraselmis<i>Tetraselmis chuii</i>Carotenoidchemistry.chemical_classificationDiatomsChromatographybiologyChemistryDimethyl sulfoxideOrganic ChemistryExtraction (chemistry)Polyphenols04 agricultural and veterinary sciencesbiology.organism_classification040401 food science6. Clean waterElectroporationpulsed electric fieldsChemistry (miscellaneous)PolyphenolextractionMolecular Medicineantioxidant bioactive compoundsMolecules
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Influence of the Storage of Cistus ladanifer L. Bales from Mechanised Harvesting on the Essential Oil Yield and Qualitative Composition

2021

Cistus ladanifer is a Mediterranean native plant from which valuable products, such as essential oil, are obtained. Manual harvesting of the plants in wild shrublands is usual during short periods of time. Their mechanised harvesting could increase the volume of harvested plants and prevent fires, further storage of the plants collected being necessary. The objective of this work is to study the influence of the storage period of mechanically harvested bales on the essential oil yield and qualitative composition. The harvesting trials were carried out with an adapted commercial harvester baler and the storage of the bales was performed indoors during 1–7 days, 15–30 days and 100–120 days. A…

0106 biological sciencesChromatography Gasdistillation020209 energyPharmaceutical ScienceBiomassOrganic chemistry02 engineering and technology01 natural sciencesCistus ladaniferGas Chromatography-Mass SpectrometryArticleessential oilAnalytical Chemistrylaw.inventionSteam distillationmechanised harvestingQD241-441<i>Cistus ladanifer</i> L.lawDrug Discovery0202 electrical engineering electronic engineering information engineeringOils VolatilePhysical and Theoretical ChemistryDistillationEssential oilbiologySuperheated steamCistusbiology.organism_classificationrockroseHorticulturePilot plantChemistry (miscellaneous)pilot plantMonoterpenesMolecular MedicineEnvironmental scienceComposition (visual arts)Cistus ladanifer L.010606 plant biology & botanyMolecules
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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Degradation in landscape matrix has diverse impacts on diversity in protected areas.

2017

Introduction: A main goal of protected areas is to maintain species diversity and the integrity of biological assemblages. Intensifying land use in the matrix surrounding protected areas creates a challenge for biodiversity conservation. Earlier studies have mainly focused on taxonomic diversity within protected areas. However, functional and especially phylogenetic diversities are less studied phenomena, especially with respect to the impacts of the matrix that surrounds protected areas. Phylogenetic diversity refers to the range of evolutionary lineages, the maintenance of which ensures that future evolutionary potential is safeguarded. Functional diversity refers to the range of ecologic…

0106 biological sciencesConservation geneticsConservation BiologyBiodiversitylcsh:MedicinemaankäyttöForestsAnimal Phylogenetics01 natural scienceslcsh:ScienceSpecies diversityConservation ScienceData ManagementMultidisciplinaryEcologyEcologyEukaryotaBiodiversityrespiratory systemta4112Terrestrial EnvironmentsPhylogeneticsGeographyHabitatVertebratesConservation GeneticsConservation geneticsResearch ArticleComputer and Information SciencesConservation of Natural ResourcesEcological MetricsForest managementAnimal phylogenetics010603 evolutionary biologyEcosystemsBirdssuojelualueetGeneticsAnimalsEcosystemEvolutionary SystematicsEcosystemTaxonomyEvolutionary BiologyLand use010604 marine biology & hydrobiologyEcology and Environmental Scienceslcsh:ROrganismsSpecies diversityland useBiology and Life SciencesSpecies Diversity15. Life on landbiodiversiteettiPhylogenetic diversity13. Climate actionConservation scienceAmniotesta1181lcsh:Qprotected areasZoologyhuman activitiesPLoS ONE
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Leaf-Level Spectral Fluorescence Measurements : Comparing Methodologies for Broadleaves and Needles

2019

Successful measurements of chlorophyll fluorescence (ChlF) spectral properties (typically in the wavelength range of 650–850 nm) across plant species, environmental conditions, and stress levels are a first step towards establishing a quantitative link between solar-induced chlorophyll fluorescence (SIF), which can only be measured at discrete ChlF spectral bands, and photosynthetic functionality. Despite its importance and significance, the various methodologies for the estimation of leaf-level ChlF spectral properties have not yet been compared, especially when applied to leaves with complex morphology, such as needles. Here we present, to the best of our knowledge, a first comparison of …

0106 biological sciencesCorrection methodMaterials science010504 meteorology & atmospheric sciencesSciencesun-induced fluorescenceAnalytical chemistryleaf morphology01 natural sciencesSpectral lineFluoWatlingonberryLEAVESChlorophyll fluorescence0105 earth and related environmental sciences4112 Forestryphotosynthesischlorophyll fluorescencesilver birchQSpectral propertiesSpectral bandsOPTICAL-PROPERTIESA FLUORESCENCECANOPY-LEVELFluorescencebaseline correctionRATIO F690/F730Integrating sphereLIGHTPHOTOSYSTEM-IPlant speciesScots pineINDUCED CHLOROPHYLL FLUORESCENCEMINIMIZING MEASUREMENT UNCERTAINTIESREVISED MEASUREMENT METHODOLOGYGeneral Earth and Planetary Sciencesbaseline correction; chlorophyll fluorescence; FluoWat; leaf morphology; lingonberry; photosynthesis; Scots pine; silver birch; sun-induced fluorescence010606 plant biology & botany
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