Search results for "AIM"

showing 10 items of 1022 documents

Happy and proactive ?:The role of hedonic and eudaimonic well-being in business owners’ personal initiative

2012

This two-year study with 122 business owners examined the link between affective well-being and task-oriented as well as relationship-oriented personal initiative (PI). We tested two complementary models explaining the link between well-being and PI: (1) broaden-and-build theory and (2) self-regulation as limited resource approach. In line with current research on well-being, we differentiated between hedonic and eudaimonic well-being using life satisfaction and vigor as indicators. Hierarchical regression analyses showed that only vigor predicted both forms of PI. Our results support the self-regulation approach and indicate that eudaimonic well-being is the relevant affective well-being d…

/dk/atira/pure/core/keywords/549207066Economics and EconometricsBusiness psychology/dk/atira/pure/core/keywords/entrepreneurshipMultilevel modelEntrepreneurshipLife satisfactionProactivityEudaimoniaWell-beingBusiness and International ManagementDimension (data warehouse)PsychologyLimited resourcesSocial psychology
researchProduct

A family of heterotetrameric clusters of chloride species and halomethanes held by two halogen and two hydrogen bonds

2016

Two previously reported 1,3,5,7,9-pentaazanona-1,3,6,8-tetraenate (PANT) chloride platinum(II) complexes [PtCl{HNC(R)NCN[C(Ph)C(Ph)]CNC(R)NH}] (R = tBu 1, Ph 2) form solvates with halomethanes 1·1¼CH2Cl2, 1·1⅖CH2Br2, and 2·CHCl3. All these species feature novel complex-solvent heterotetrameric clusters, where the structural units are linked simultaneously by two C–X⋯Cl–Pt (X = Cl, Br) halogen and two C–H⋯Cl–Pt hydrogen bonds. The geometric parameters of these weak interactions were determined using single-crystal XRD, and the natures of the XBs and HBs in the clusters were studied for the isolated model systems (1)2·(CH2Cl2)2, (1)2·(CH2Br2)2, and (2)2·(CHCl3)2 using DFT calculations and Bad…

010405 organic chemistryHydrogen bondChemistryStereochemistrychemistry.chemical_elementGeneral Chemistry010402 general chemistryCondensed Matter Physics01 natural sciencesChloride0104 chemical sciencesCrystalhalomethanesCrystallographyHalogenchloride platinum(II) complexesmedicineGeneral Materials ScienceAim analysisPlatinumta116medicine.drugheterotetrameric clustersCrystEngComm
researchProduct

A genomic map of climate adaptation in Mediterranean cattle breeds

2019

International audience; Domestic species such as cattle (Bos taurus taurus and B. t. indicus) represent attractive biological models to characterize the genetic basis of short term evolutionary response to climate pressure induced by their post-domestication history. Here, using newly generated dense SNP genotyping data, we assessed the structuring of genetic diversity of 21 autochtonous cattle breeds from the whole Mediterranean basin and performed genome-wide association analyses with covariables discriminating the different Mediterranean climate sub-types. This provided insights into both the demographic and adaptive histories of Mediterranean cattle. In particular, a detailed functional…

0106 biological sciences0301 basic medicineMediterranean climateCandidate genehttp://aims.fao.org/aos/agrovoc/c_24002Polymorphisme génétiqueAcclimatizationBreedingMediterraneanFacteur climatiquehttp://aims.fao.org/aos/agrovoc/c_11701 natural sciencesMediterranean Basinhttp://aims.fao.org/aos/agrovoc/c_4397http://aims.fao.org/aos/agrovoc/c_1081http://aims.fao.org/aos/agrovoc/c_3225Phylogeny2. Zero hungerGenomeEcology[SDV.BA]Life Sciences [q-bio]/Animal biologyhttp://aims.fao.org/aos/agrovoc/c_24031Chromosome MappingGenomicsSNP genotypingRace (animal)http://aims.fao.org/aos/agrovoc/c_3373http://aims.fao.org/aos/agrovoc/c_2080http://aims.fao.org/aos/agrovoc/c_4940http://aims.fao.org/aos/agrovoc/c_4026Génotypelocal adaptationBétailThermotoleranceBehavior and SystematicGenotypeP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554EvolutionIntrogressionSNPBiologyhttp://aims.fao.org/aos/agrovoc/c_259010603 evolutionary biology03 medical and health sciencescattle climate genetics local adaptation Mediterranean SNPhttp://aims.fao.org/aos/agrovoc/c_3081GeneticsAnimalsAdaptationhttp://aims.fao.org/aos/agrovoc/c_4697http://aims.fao.org/aos/agrovoc/c_8013climateEcology Evolution Behavior and SystematicsLocal adaptationGenetic diversityhttp://aims.fao.org/aos/agrovoc/c_2503Genetic Variation15. Life on landL10 - Génétique et amélioration des animauxClimat méditerranéen030104 developmental biologyGenetics PopulationEvolutionary biologycattleCarte génétiquehttp://aims.fao.org/aos/agrovoc/c_7273Adaptationgenetic
researchProduct

The bacterial microbiome of meloidogyne-based disease complex in coffee and tomato

2020

The Meloidogyne-based disease complexes (MDCs) are caused by the interaction of different root-knot nematode species and phytopathogenic fungi. These complexes are devastating several important crops worldwide including tomato and coffee. Despite their relevance, little is known about the role of the bacterial communities in the MDCs. In this study 16s rDNA gene sequencing was used to analyze the bacterial microbiome associated with healthy and infested roots, as well with females and eggs of Meloidogyne enterolobii and M. paranaensis, the causal agents of MDC in tomato and coffee, respectively. Each MDC pathosystems displayed a specific taxonomic diversity and relative abundances constitut…

0106 biological sciences0301 basic medicineMeloidogynePathologie végétalePlant Sciencelcsh:Plant culture01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_479203 medical and health sciencesMaladie des planteshttp://aims.fao.org/aos/agrovoc/c_5962Meloidogyne paranaensisSolanum lycopersicumcorky rootAlteromonadalesBotanyhttp://aims.fao.org/aos/agrovoc/c_1721lcsh:SB1-1110MicrobiomeH20 - Maladies des planteshttp://aims.fao.org/aos/agrovoc/c_4475Original Researchfunctional profilehttp://aims.fao.org/aos/agrovoc/c_4729biologypathobiomeP34 - Biologie du solfood and beveragesNocardiaCoffea arabicabiology.organism_classification16S ribosomal RNABacillalesMeloidogyne enterolobiiBurkholderiales030104 developmental biologyNematodehttp://aims.fao.org/aos/agrovoc/c_5974Meloidogyne enterolobii010606 plant biology & botany
researchProduct

Temperature and pH define the realised niche space of arbuscular mycorrhizal fungi

2021

Made available in DSpace on 2021-06-25T11:52:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-03-04 European Regional Development Fund (Centre of Excellence EcolChange) University of Tartu (Estonian Research Council ) Moscow State University Natural Sciences and Engineering Research Council of Canada Discovery Grant Russian Science Foundation Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Swedish Research Council (Vetenskapsradet) The arbuscular mycorrhizal (AM) fungi are a globally distributed group of soil organisms that play critical roles in ecosystem function. However, the ecological niches of individual AM fungal taxa are poorly understood. We collected > 300 s…

0106 biological sciences0301 basic medicinearbuscular mycorrhizal fungi ecological niche molecular taxa niche optimum niche width pH phylogenetic correlation temperature Ecosystem Fungi Hydrogen-Ion Concentration Phylogeny Soil Soil Microbiology Temperature MycorrhizaePhylogéniePhysiologyPlant Science01 natural sciencesSoilhttp://aims.fao.org/aos/agrovoc/c_5963http://aims.fao.org/aos/agrovoc/c_33550MycorrhizaePhylogenySoil MicrobiologyAbiotic componentbiologyEcologypHTemperatureHydrogen-Ion ConcentrationPhytoécologieniche widthTempérature du solpH de la rhizosphèreF40 - Écologie végétaleAcaulosporaceaeNichearbuscular mycorrhizal fungi03 medical and health scienceshttp://aims.fao.org/aos/agrovoc/c_1415699873241Glomeraceaeecological nichehttp://aims.fao.org/aos/agrovoc/c_13325Relative species abundanceChampignon du solArbuscular mycorrhiza [EN]EcosystemEcological nichehttp://aims.fao.org/aos/agrovoc/c_5b384c25phylogenetic correlationFungiP34 - Biologie du solmolecular taxatemperatureAquatic Ecologyfacteurs abiotiques15. Life on landbiology.organism_classificationniche optimum030104 developmental biology13. Climate actionBiological dispersalhttp://aims.fao.org/aos/agrovoc/c_7197http://aims.fao.org/aos/agrovoc/c_36313010606 plant biology & botanyGigasporaceae
researchProduct

Synthesis of habitat restoration impacts on young-of-the-year salmonids in boreal rivers

2019

River restoration offers the potential to enhance biological integrity, often measured as fish population changes. We used a meta-analytical approach to synthesize density responses to in-stream habitat restoration by young-of-the year (YOY) brown trout and Atlantic salmon in 28 rivers (overall 32 restoration projects) in Finland. We also examined which local and watershed-scale factors most influenced restoration success. Finally, we conducted an expert survey to obtain an independent estimate of a sufficient density enhancement for restoration to be considered successful. Despite strong context-dependency, habitat restoration had an overall positive effect on YOY salmonid density. When co…

0106 biological sciencesAtlantic salmonBrown troutFishinghabitat improvementlohiAquatic Sciencepoikasetvesienhoito01 natural sciencesatlantinlohiBrown troutbrown trouttaimenStockingBiological integrityjuvenile salmonids14. Life underwaterennallistaminenPopulation dynamics of fisheriesRestoration ecologyFinlandRiver restorationbiologykalakannat010604 marine biology & hydrobiologyHabitat improvementmeta-analyysilohikalat04 agricultural and veterinary sciencesbiology.organism_classificationmeta-analysisFisheryTroutEuropean bullheadMeta-analysisboreaalinen vyöhyke13. Climate actionboreal zonekunnostus040102 fisheries0401 agriculture forestry and fisheriesJuvenile salmonidsriver restorationjoet
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct