Search results for "Geta"

showing 10 items of 3789 documents

Plant functional and taxonomic diversity in European grasslands along climatic gradients

2021

Aim European grassland communities are highly diverse, but patterns and drivers of their continental-scale diversity remain elusive. This study analyses taxonomic and functional richness in European grasslands along continental-scale temperature and precipitation gradients. Location Europe. Methods We quantified functional and taxonomic richness of 55,748 vegetation plots. Six plant traits, related to resource acquisition and conservation, were analysed to describe plant community functional composition. Using a null-model approach we derived functional richness effect sizes that indicate higher or lower diversity than expected given the taxonomic richness. We assessed the variation in abso…

0106 biological sciencesgrassland diversity333.7: Landflächen Naturerholungsgebieteenvironmental filtering favourability hypothesis functional richness grassland diversity limiting similarity null model plant trait diversity precipitation gradient seasonality taxonomic richness temperature gradient trait-environment relationshippragmatic approachBiodiversitylimiting similarityEnvironmental filtering; Favourability hypothesis; Functional richness; Grassland diversity; Limiting similarity; Null model; Plant trait diversity; Precipitation gradient; Seasonality; Taxonomic richness; Temperature gradient; Trait‐environment relationshipPlant Scienceprecipitation gradient01 natural sciencesGrasslandtaxonomic richnesstrait-environmentspecies richnessfavourability hypothesisbiodiversity2. Zero hungermechanismsgeography.geographical_feature_categoryEcologyEcologyseasonalitynull modelassembly rulesVegetation580: Pflanzen (Botanik)communityAssembly rulestrait convergence010603 evolutionary biologytemperature gradientLimiting similaritymedicineTrait‐environment relationshipgeographyfunctional richnessAquatic EcologyPlant communityenvironmental filtering15. Life on landSeasonalitymedicine.diseasetrait-environment relationshipEnvironmental scienceSpecies richnessdivergenceEnvironmental Sciencesplant trait diversity010606 plant biology & botany
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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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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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Effect of Molybdenum Rate on Yield and Quality of Lettuce, Escarole, and Curly Endive Grown in a Floating System

2018

Molybdenum (Mo) is required in enzymes involved in a number of different metabolic processes, and is crucial for the survival of plants and animals. The influence of nutrient solutions containing four levels of molybdenum (0, 0.5, 1.5, and 3.0 &micro

0106 biological sciencesinorganic chemicalsvitamin CSettore AGR/04 - Orticoltura E Floricoltura01 natural scienceslcsh:Agriculturechemistry.chemical_compoundHuman fertilizationNutrientmolybdenumNitratenitrateleafy vegetablesHydroponicChemistryCrop yieldLeafy vegetablelcsh:Shydroponics04 agricultural and veterinary sciencesAscorbic acidHydroponicsHorticultureenzymes and coenzymes (carbohydrates)Plant morphology040103 agronomy & agriculture0401 agriculture forestry and fisheriesbacteriaPlant nutritionAgronomy and Crop Science010606 plant biology & botanyAgronomy
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Severe effects of long-term drought on calcareous grassland seed banks

2018

Climate change models project shifts in precipitation patterns at regional and global scales. Increases in dry areas and the occurrence of drought predicted in future scenarios are likely to threaten grassland ecosystems. Calcareous grassland seed banks have proven to be resistant to short-term drought, but their responses to long-term drought are unknown. Here we show that 14 years of summer drought changed calcareous grassland seed bank composition, reducing its size and richness, and that these responses do not simply reflect patterns in the above-ground vegetation. Moreover, the effect of drought was larger on seed banks than on vegetation, and above-ground responses mediated by soil de…

0106 biological scienceskuivuusAtmospheric ScienceSoil seed bankCalcareous grasslandnurmetClimate changedroughtlcsh:QC851-999complex mixtures010603 evolutionary biology01 natural sciencesniitytsiemenetparasitic diseasesEnvironmental ChemistryEcosystemlcsh:Environmental scienceslcsh:GE1-350maaperäGlobal and Planetary Changegrassland ecologysiemenkasvitfungifood and beveragesenvironmental impactsVegetationekosysteemit (ekologia)Disturbance (ecology)Agronomyympäristövaikutuksetclimate-changeilmastonmuutosEnvironmental sciencelcsh:Meteorology. ClimatologySpecies richnessseed banksCalcareousclimate-change ecology010606 plant biology & botanynpj Climate and Atmospheric Science
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Update in unified terroir zoning methodologies

2018

International audience; The concept of terroir is based on the assumption that the quality and the typicity of an agricultural product are linked to its origin. The precise definition of an origin requires zoning. Because terroir expression in viticulture is largely driven by interactions between the vine and its natural environment, soil and climate play a key role in terroir zoning. For clarity, soil-based and climate-based zoning are presented separately in this paper. They are, however, ideally carried out simultaneously, because of the existence of multiple interactions between these terroir factors. Prior to the implementation of zoning, the objectives need to be carefully defined. Th…

0106 biological scienceslcsh:GE1-350010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceScale (chemistry)media_common.quotation_subjectGeomaticsEnvironmental resource management15. Life on land01 natural scienceslaw.inventionlawCLARITY[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyProduction (economics)Quality (business)Product (category theory)businessZoninglcsh:Environmental sciences010606 plant biology & botany0105 earth and related environmental sciencesTerroirmedia_commonE3S Web of Conferences
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Historical Suitability and Sustainability of Sicani Mountains Landscape (Western Sicily): An Integrated Approach of Phytosociology and Archaeobotany

2020

Since 2015, the ongoing project &ldquo

0106 biological scienceslcsh:TJ807-830anthracologyGeography Planning and DevelopmentPaisajes históricos01 natural sciencesSistemas agrarios de alto valor natural (AVN)lcsh:Environmental scienceslcsh:GE1-350Bosques mediterráneosAntracologíaPhytosociologyearly middle ageslcsh:Environmental effects of industries and plantsHigh nature value (HNV) farmlandVegetationIntegrated approachlandscape archaeologyEarly middle ageGeographyMediterranean woods010506 paleontologylcsh:Renewable energy sourcesManagement Monitoring Policy and LawHigh nature value (HNV) farmlands010603 evolutionary biologyEcología históricaAlta Edad MediaLandscape dynamicsHistorical landscapeshistorical landscapesHistorical landscapePaleoethnobotanyvegetation seriesAnthracology0105 earth and related environmental scienceshistorical ecologyMediterranean woodhigh nature value (HNV) farmlandsRenewable Energy Sustainability and the EnvironmentExcavationPlant communityArchaeologyLandscape archaeologyArqueología del paisajelcsh:TD194-195vegetation scienceSustainabilityEarly middle agesSustainability
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A multi-site study to classify semi-natural grassland types

2009

International audience; Calibration and validation of simulation models describing herbage growth or feed quality of seminatural grasslands is a complex task for agronomists without investing effort into botanical surveys. To facilitate such modelling efforts, a limited number of grassland types were identified using a functional classification of species. These grassland types were characterized by three descriptors required to model herbage growth or feed quality: the abundance-weighted mean leaf dry matter content across grass species, the relative abundance of grasses, and an estimate of species richness. We conducted a multi-site analysis over 749 grasslands from eight temperate region…

0106 biological sciencesleaf traitsRestricted maximum likelihoodManagement type01 natural sciencesGrasslandnitrogenland-use changeNutrientSemi-natural grasslandphosphorus2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environmentgeography.geographical_feature_categoryEcology04 agricultural and veterinary sciencesVegetationClassification[ SDE.MCG ] Environmental Sciences/Global ChangesFunctional traitsplant-species richnessgrowth[SDE.MCG]Environmental Sciences/Global Changespermanent pastures[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyEllenberg indicator values[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentdiversity[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsTemperate climateRelative species abundance[ SDV.BID ] Life Sciences [q-bio]/Biodiversitygeography[ SDE.BE ] Environmental Sciences/Biodiversity and EcologySimulation modelingNutrients15. Life on land[SDE.ES]Environmental Sciences/Environmental and Society[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsAgronomy040103 agronomy & agricultureresponses0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologySpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologyAgronomy and Crop Science[ SDE.ES ] Environmental Sciences/Environmental and SocietySpecies richness
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Assessment of genetically modified maize 1507 × 59122 × MON810 × NK603 and subcombinations, for food and feed uses, under Regulation (EC) No 1829/200…

2017

In this opinion, the GMO Panelassessed the four-event stack maize 1507 x 59122 x MON810 x NK603 and its ten subcombinations, independently of their origin. The GMO Panelpreviously assessed the four single events combined in this four-event stack maize and five of their combinations and did not identify safety concerns. No new data on the single events or their previously assessed combinations leading to modification of the original conclusions were identified. Based on the molecular, agronomic, phenotypic and compositional characteristics, the combination of the single maize events and of the newly expressed proteins in the four-event stack maize did not give rise to food and feed safety or…

0106 biological sciencesmaïs[SDV]Life Sciences [q-bio]Veterinary (miscellaneous)ogmPlant Science010501 environmental sciencesBiology01 natural sciencesMicrobiologyProtein expression1507 x 59122 x MON810 x NK603Environmental safety[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringinsect resistant and herbicide tolerantmaize (Zea mays)0105 earth and related environmental sciences2. Zero hungerGenetically modified maizeGMO;maize (Zea mays);1507 x 59122 x MON810 x NK603;insect resistant and herbicide tolerant;Regulation (EC) No 1829/2003GMObusiness.industryRegulation (EC) No 1829/2003BiotechnologyScientific OpinionAgronomyRegulation (EC) No1829/2003Animal Science and ZoologyParasitology1507 × 59122 ×  MON810 ×  NK603businessRegulation (EC) No 1829/2003010606 plant biology & botanyFood ScienceEFSA Journal
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Crop and density effects on weed beet growth and reproduction

2004

Summary Weed beet populations growing in each crop of the arable rotation could be a relay for the gene flow from adjacent transgenic herbicide-resistant sugarbeet. In this study, weed beet growth and reproduction were assessed under several conditions which could be found in the rotation: various weed beet densities (ranging from 1 to 120 plants m−2) and various crops (winter wheat, spring barley, spring pea, sugarbeet, maize, ryegrass). Measurements were carried out both on life-cycle dynamics (bolting time, time to flowering onset, dynamics of flower opening) and on other quantitative data (survival rate, bolting rate and pollen, flower and seed production). Increasing weed beet density …

0106 biological sciencesmedia_common.quotation_subjectPlant ScienceBiologymedicine.disease_cause01 natural sciencesCompetition (biology)CropPollenmedicine[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyCropping systemComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and Systematicsmedia_common2. Zero hungerBolting04 agricultural and veterinary sciences15. Life on landAgronomy040103 agronomy & agriculture0401 agriculture forestry and fisheriesReproductionArable landWeedAgronomy and Crop Science010606 plant biology & botanyWeed Research
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