Search results for "32"

showing 10 items of 3370 documents

New national and regional Annex I Habitat records: from #16 to #20

2020

New data on the distribution of the Annex I Habitats 3120, 3260, 6310, 9180* and 92A0 are reported in this contribution. In detail, 3 new occurrences in Natura 2000 Sites are presented and 5 new cells in the EEA 10 km x 10 km Reference grid are added. The new data refer to Italy and in particular to the Administrative Regions of Liguria, Sardinia, Sicily and Umbria. This issue of the section “Habitat records” includes an Errata corrige referring to the last released issue.

0106 biological sciencesBiodiversityDistribution (economics)Plant ScienceReference grid32603120010603 evolutionary biology01 natural sciences6310SB1-11103120 3260 6310 9180vegetation9180*QK900-9893120 3260 6310 9180; 92A0 92/43/EEC Directive; Biodiversity; Conservation; Italy; VegetationPlant ecology92A0Ecology Evolution Behavior and SystematicsbiodiversityEcologybusiness.industryconservation92A0 92/43/EEC DirectivePlant cultureForestryVegetationGeographyHabitatItaly918092/43/EEC DirectiveSettore BIO/03 - Botanica Ambientale E ApplicataPhysical geographyNatura 2000business010606 plant biology & botany
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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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New national and regional Annex I Habitat records: from #21 to #25

2021

New Italian data on the distribution of the Annex I Habitats 3170*, 6110*, 91E0*, 9320, 9330 are reported in this contribution. Specifically, one new occurrence in Natura 2000 sites is presented and six new cells are added in the European Environment Agency 10 km × 10 km reference grid. The new data refer to the Italian administrative regions of Sardinia, Sicily and Umbria.

0106 biological sciencesEcologyconservationPlant cultureForestryPlant Science93309320010603 evolutionary biology01 natural sciences3170* 6110* 91E0* 9320 9330 92/43/EEC Directive conservation EEA vegetationSB1-1110vegetation92/43/EEC DirectiveSettore BIO/03 - Botanica Ambientale E Applicata91E0*3170*6110*QK900-989Plant ecologyEEAEcology Evolution Behavior and Systematics010606 plant biology & botanyPlant Sociology
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Interactive effects between diet and genotypes of host and pathogen define the severity of infection

2012

Host resistance and parasite virulence are influenced by multiple interacting factors in complex natural communities. Yet, these interactive effects are seldom studied concurrently, resulting in poor understanding of host-pathogen-environment dynamics. Here, we investigated how the level of opportunist pathogen virulence, strength of host immunity and the host condition manipulated via diet affect the survival of wood tiger moth Parasemia plantaginis (Arctidae). Larvae from “low cuticular melanin” and “high cuticular melanin” (considered as low and high pathogen resistance, respectively) selection lines were infected with moderately and highly virulent bacteria strains of Serratia marcescen…

0106 biological sciencesGenotype-environment interactionVirulenceLactucaBiology010603 evolutionary biology01 natural sciencesMicrobiologyMelanin03 medical and health sciencesImmunityParasemia plantaginisBotanyPathogenEcology Evolution Behavior and SystematicsSerratia marcescens030304 developmental biologyNature and Landscape ConservationOriginal Research11832 Microbiology and virology0303 health sciencesimmunokompetenssilleimmunocompetenceEcologyintegumentary systemHost (biology)fungivirulenssiPlantago majorbiology.organism_classificationvirulenceSerratia marcescensta1181Parasemia plantaginissense organsGenotyyppi-ympäristö vuorovaikutusEcology and Evolution
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Hymenoptera Complex Associated with Myzus persicae and Hyalopterus spp. in Peach Orchards in Northeastern Spain and Prospects for Biological Control …

2019

Aphids are a serious pest for peach crops. They have traditionally been managed with insecticides, but there is increasing concern about the risk that insecticides pose to both humans and the environment. As a first step to use biological control in aphid management, we conducted a 3-year field survey in northeastern Spain to determine which parasitoids and hyperparasitoids were most prevalent on two aphids, Myzus persicae (Sulzer) and Hyalopterus spp. Koch, the most harmful to peach trees. We collected 11 parasitoid species from M. persicae, with Aphidius matricariae (Haliday) being the most abundant. Two parasitoid species were also collected from Hyalopterus spp., Aphidius transcaspicus …

0106 biological sciencesIntegrated pest managementhyperparasitoidsBiological pest control632Biology010603 evolutionary biology01 natural sciencesArticleAphididaelcsh:ScienceAphidiinae2. Zero hungerAphidbusiness.industryconservationPest controlAphididae15. Life on landbiology.organism_classification010602 entomologyAgronomyInsect Sciencelcsh:QIPMPEST analysisMyzus persicaebusinessAphidiinae
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Morphological traits predict host-tree specialization in wood-inhabiting fungal communities

2020

Tree species is one of the most important determinants of wood-inhabiting fungal community composition, yet its relationship with fungal reproductive and dispersal traits remains poorly understood. We studied fungal communities (total of 657 species) inhabiting broadleaved and coniferous dead wood (total of 192 logs) in 12 semi-natural boreal forests. We utilized a trait-based hierarchical joint species distribution model to examine how the relationship between dead wood quality and species occurrence correlates with reproductive and dispersal morphological traits. Broadleaved trees had higher species richness than conifers, due to discomycetoids and pyrenomycetoids specializing in them. Re…

0106 biological sciencesSpecies distributionDIVERSITYConiferousPlant Sciencebroadleavedisäntälajitfungal communities01 natural sciencespuulajitLOGSBroadleavedspecializationtree speciesFruit bodyDISPERSALRICHNESSmorphologylehtipuut11832 Microbiology and virologyEcologyEcological ModelingTaigaDECAYING FUNGIlahottajasienetFunctional traitDead wood1181 Ecology evolutionary biologyTree speciesSpecializationTree speciesMorphologyfruit bodyBiologysporehavupuutSPRUCEECOLOGY010603 evolutionary biologymorfologiaGRADIENTconiferousfunctional traitlahopuutEcology Evolution Behavior and Systematicsitiötdead woodHost (biology)Species diversitySpore15. Life on landSporePATTERNSBiological dispersalSpecies richness010606 plant biology & botany
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New national and regional Annex I Habitat records: from #13 to #15

2020

New data on the distribution of the Annex I Habitats 3160, 7210* and 9320 are reported in this contribution. In detail, 24 new occurrences in Natura 2000 Sites are presented and 42 new cells in the EEA 10 km x 10 km Reference grid are added. The new data refer to Italy and in particular to the Administrative Regions Lombardy, Sardinia, and Sicily.

0106 biological sciencesVegetationEcology3160 7210* 92/43/EEC Directive 9320 Biodiversity Conservation Italy Vegetation3160Plant cultureForestryPlant ScienceBiodiversityConservation010501 environmental sciences7210*3160; 7210*; 92/43/EEC Directive; 9320; Biodiversity; Conservation; Italy; Vegetation01 natural sciences9320SB1-1110Italy92/43/EEC Directive3160 7210* 9320 biodiversity conservation 92/43/EEC Directive Italy vegetationQK900-989Plant ecologyEcology Evolution Behavior and Systematics010606 plant biology & botany0105 earth and related environmental sciencesPlant Sociology
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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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OMICfpp: a fuzzy approach for paired RNA-Seq counts

2019

© The Author(s) 2019.

0106 biological scienceslcsh:QH426-470Pipeline (computing)lcsh:BiotechnologyRNA-SeqBinomial testSample (statistics)Biologyoncología médicaMedical Oncology01 natural sciencesFuzzy logicSet (abstract data type)03 medical and health sciencesUser-Computer InterfaceSoftwarelcsh:TP248.13-248.65GeneticsHumansCàncer030304 developmental biologyOrdered weight average0303 health sciencesbusiness.industrySequence Analysis RNAMethodology ArticleHigh-Throughput Nucleotide SequencingPattern recognitionColorectal cancerlcsh:Genetics3201.01 OncologíatranscriptomaRandomization distributionRNAArtificial intelligenceDNA microarraybusinessColorectal NeoplasmsTranscriptome010606 plant biology & botanyBiotechnology
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