Search results for "Hunger"

showing 10 items of 1353 documents

AlomySys: Modelling black-grass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil …

2006

International audience; Weed emergence models are increasingly necessary to evaluate and design cropping systems. The model AlomySys was developed for a frequent and harmful weed, i.e. Alopecurus myosuroides Huds. [Colbach, N., Dürr, C., Roger-Estrade, J., Caneill, J., 2005a. How to model the effects of farming practices on weed emergence. Weed Res. 45, 2–17; Colbach, N., Dürr, C., Roger-Estrade, J., Chauvel, B., Caneill, J., 2005b. AlomySys: modelling blackgrass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate. I. Construction. Eur. J. Agronomy] and is based on sub-models predicting (a) soil environment (climate, s…

0106 biological sciencesAlopecurus myosuroides Huds[SDV]Life Sciences [q-bio]Soil ScienceGerminationPlant ScienceEmergence[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesTillageValidationDormancyCropping system2. Zero hungerbiologyAlopecurus myosuroidesSowing04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeedTillageSoil structureAgronomyGerminationSeedling040103 agronomy & agricultureEnvironmental science0401 agriculture forestry and fisheriesWeedAgronomy and Crop ScienceSimulation010606 plant biology & botanyModelCropping system
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Determination of fatty acids content, global antioxidant activity and energy value of weed seeds from agricultural fields in France.

2016

18 pages; International audience; The ecological consequences of seed size variation have been studied extensively in plants. Curiously, little attention has been paid to the qualitative and quantitative variation of the seed-stored molecules and on their ecological significance. Here, we analysed the oil content and oil composition of ca. 200 weed seed species from agricultural fields in France based on single seed accessions, concentrating on interspecies differences and ignoring within-species variation. The relationships between seed weight, oil %, fatty acids (FAs) and the energetic value of the seed and its antioxidant properties were also investigated. The antioxidant activity could …

0106 biological sciencesAntioxidantseed traitsoxidationmedicine.medical_treatment[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyPlant ScienceBiologyQuantitative variation010603 evolutionary biology01 natural sciencesfatty acids[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomylipidOil contentmedicineweedsEcology Evolution Behavior and Systematics2. Zero hungerbusiness.industryfood and beverages15. Life on landAgronomygerminationGerminationAgricultureSeed predationComposition (visual arts)WeedbusinessAgronomy and Crop Science[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition010606 plant biology & botanyenergy
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Coping with Difficult Weather and Snow Conditions : Reindeer herders’ views on climate change impacts and coping strategies

2016

Winter is a critical season for reindeer herding, with the amount and quality of snow being among the most important factors determining the condition of reindeer and the annual success of the livelihood. Our first aim was to model the future (2035–2064) snow conditions in northern Finland, especially the quantities related to ground ice and/or ice layers within the snow pack, exceptionally deep snow and late snow melt. Secondly, we studied the strategies by which herders cope with the impacts of difficult weather and snow conditions on herding by interviewing 21 herders. SNOWPACK simulations indicate that snow cover formation will be delayed by an average of 19 days and snow will melt 16 d…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesta1172educationGeography Planning and Developmentta1171Climate changeSnow modelinglcsh:QC851-999Management Monitoring Policy and Law114 Physical sciences010603 evolutionary biology01 natural sciencesReindeer herdingEnvironmental protectiontalviClimate changeHerding1172 Environmental sciences0105 earth and related environmental sciencesTraditional knowledge (TK)2. Zero hungerGlobal and Planetary ChangeLand useEcologyselviytyminenWinter15. Life on landSnowpackLivelihoodSnowreindeer herdingclimate change13. Climate actionSnowmeltSustainabilityEnvironmental sciencelcsh:Meteorology. Climatologytraditional knowledgeCopingsnow modelling
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Social process of adaptation to environmental changes: How eastern african societies intervene between crops and climate

2014

Abstract Studies on climate change can only be conducted on a long time scale, and observing how societies adapt their sowing practices to climate variability is challenging and costly. As an alternative, a space and time substitution design was used, changes in space corresponding to that induced in time by environmental change. On the eastern slope of Mount Kenya, the Tharaka community, originating from the lowlands (750 m), moved up to the midlands (950 m) with their lowland-adapted resources, whereas the Mwimbi, originating from wetter upland (1100 m), moved down to the midlands with their highland-adapted genetic resources. A weather station was installed at 950 and 1100 m, and a logis…

0106 biological sciencesAtmospheric ScienceEnsemencement010504 meteorology & atmospheric sciencesEnvironmental changeF08 - Systèmes et modes de cultureadaptation aux changements climatiqueshttp://aims.fao.org/aos/agrovoc/c_11701 natural scienceshttp://aims.fao.org/aos/agrovoc/c_2018http://aims.fao.org/aos/agrovoc/c_7142http://aims.fao.org/aos/agrovoc/c_72682. Zero hungerGlobal and Planetary ChangeAgroforestryEcologyAgriculturehttp://aims.fao.org/aos/agrovoc/c_203[ SDE.MCG ] Environmental Sciences/Global ChangesPratique culturaleGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyCrop growth[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologie[SDE.MCG]Environmental Sciences/Global ChangesClimate changeGrowing seasonSocietal impactsWeather stationAltitudehttp://aims.fao.org/aos/agrovoc/c_1374567058134E50 - Sociologie ruralehttp://aims.fao.org/aos/agrovoc/c_1666AdaptationClimate variability0105 earth and related environmental sciencesChangement climatiquebusiness.industrySowing15. Life on landhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureSociologieAfricaAdaptationbusinessSocial Sciences (miscellaneous)010606 plant biology & botany
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Plant diversity effects on aboveground and belowground N pools in temperate grassland ecosystems: Development in the first 5 years after establishment

2011

[1] Biodiversity is expected to improve ecosystem services, e.g., productivity or seepage water quality. The current view of plant diversity effects on element cycling is based on short-term grassland studies that discount possibly slow belowground feedbacks to aboveground diversity. Furthermore, these grasslands were established on formerly arable land associated with changes in soil properties, e.g., accumulation of organic matter. We hypothesize that the plant diversity-N cycle relationship changes with time since establishment. We assessed the relationship between plant diversity and (1) aboveground and soil N storage and (2) NO3-N and NH4-N availability in soil between 2003 and 2007 in…

0106 biological sciencesAtmospheric ScienceSoil biodiversitycomplex mixtures010603 evolutionary biology01 natural sciencesGrasslandEnvironmental ChemistryEcosystemOrganic matterLeaching (agriculture)General Environmental Science2. Zero hungerchemistry.chemical_classificationGlobal and Planetary ChangeBiomass (ecology)geographygeography.geographical_feature_categoryEcologySoil organic matterfood and beverages04 agricultural and veterinary sciencesrespiratory system15. Life on landAgronomychemistry13. Climate action040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSoil fertilityhuman activitiesGlobal Biogeochemical Cycles
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Insect Vectors (Hemiptera: Cixiidae) and Pathogens Associated with the Disease Syndrome “Basses Richesses” of Sugar Beet in France

2019

International audience; The syndrome “basses richesses” (SBR) is a disease of sugar beet in eastern France associated with two phloem-restricted, nonculturable plant pathogens: a stolbur phytoplasma and a γ-3 proteobacterium, here called SBR bacterium. Three planthopper (Hemiptera: Cixiidae) species were found to live near and within sugar beet fields in eastern France: Cixius wagneri, Hyalesthes obsoletus, and Pentastiridius leporinus. The role of these planthoppers in spreading the two pathogens to sugar beet was studied. Based on its abundance and high frequency of infection with the SBR bacterium, P. leporinus was considered to be the economic vector of SBR disease. C. wagneri, the prim…

0106 biological sciencesBASSES RICHESSES SYNDROME OF SUGAR BEETHomopteraEXPERIMENTAL TRANSMISSIONCIXIIDAEPlant Science01 natural sciencesHEMIPTERADETECTION03 medical and health sciencesPlanthopperBotanySugarPOLYMERASE CHAIN REACTION RESTRICTED FRAGMENT LENGH POLYMORPHISM030304 developmental biology2. Zero hunger0303 health sciencesbiologyPHLOEM LIMITED BACTERIAfungifood and beveragesLeporinusbiology.organism_classificationCixiidae[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacyHYALESTHES OBSOLETUSINSECTEGAMMA-3-PROTEOBACTERIAPhytoplasmaSTOLBUR PHYTOPLASMAVECTORSSugar beetCIXIUS WAGNERICHARACTERIZATIONAgronomy and Crop ScienceConvolvulusPENTASTIRIDIUS LEPORINUS010606 plant biology & botany
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A simple modelling of crop water balance for agrometeorological applications

1991

Abstract A simple agrometeorological model of crop water balance is presented. It aims at the best estimate possible of the water balance components with the simplest formulation and the minimum set of input data. The model works with a time step of one day and uses rainfall and the calculated evapotranspiration as the climatic inputs. Some soil and crop characteristics, such as the maximum available moisture and crop coefficients are required as input parameters. The model is tested using experimental data obtained on wheat and lucerne crops in the Paris region. The sensitivity of the model is discussed and some possible applications to rainfed crop management are presented.

0106 biological sciencesBILAN HYDRIQUEAgricultural engineeringTime step01 natural sciencesCropWater balanceSimple (abstract algebra)EvapotranspirationAGROMETEOROLOGIESensitivity (control systems)ComputingMilieux_MISCELLANEOUS2. Zero hungerMoistureEVAPOTRANSPIRATIONEcological Modeling04 agricultural and veterinary sciencesMODELISATIONCrop coefficient[SDE.BE] Environmental Sciences/Biodiversity and Ecology040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceRELATION SOL PLANTE[SDE.BE]Environmental Sciences/Biodiversity and Ecology010606 plant biology & botany
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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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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Response and effect traits of arable weeds in agro-ecosystems: a review of current knowledge.

2017

25 pages; International audience; Integrating principles of ecological intensification into weed management strategies requires an understanding of the many relationships among weeds, crops and other organisms of agro-ecosystems in a changing context. Extensively used during the last two decades in weed science, trait-based approaches have provided general insights into weed community response to agricultural practices, and recently to understanding the effect of weeds on agro-ecosystem functioning. In this review, we provide a holistic synthesis of the current knowledge on weed response and effect functional traits. Based on the literature and recent advances in weed science, we review cur…

0106 biological sciencesBiodiversity[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyContext (language use)Plant Scienceagro-ecologyBiologyfunctional ecologycropping system010603 evolutionary biology01 natural sciencesecological intensificationEcology Evolution Behavior and Systematicsbiodiversity2. Zero hungerFunctional ecologyAgroforestrybusiness.industryEcology04 agricultural and veterinary sciences15. Life on landWeed controlAgriculture040103 agronomy & agricultureTrait0401 agriculture forestry and fisheries[SDE.BE]Environmental Sciences/Biodiversity and EcologyWeedbusinessAgronomy and Crop ScienceCropping
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