Search results for "vegetation type"

showing 10 items of 34 documents

Analysing the effect of land use and vegetation cover on soil infiltration in three contrasting environments in northeast Spain

2017

Este estudio presenta el análisis conjunto de la información obtenida a partir de 195 ensayos de infiltración en el campo, que fueron realizados mediante dispositivos de doble anillo. Los experimentos se realizaron en 20 situaciones contrastadas de usos del suelo, los cuales se encuentran distribuidos en tres contextos geográficos (costa NE de Cataluña, monte bajo del sector central del valle del Ebro y montaña media de la vertiente Sur del Pirineo central). El objetivo de esta investigación es determinar los factores más importantes que explican la variabilidad de la infiltración: uso del suelo, tipo de cubierta vegetal, características del suelo y del substrato rocoso, humedad del suelo y…

010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentSòls -- FiltracióLand coverEnvironmental Science (miscellaneous)infiltrationvegetation cover01 natural sciencesSòls Absorció i adsorcióSòl Ús delVegetation typeEarth and Planetary Sciences (miscellaneous)Water content0105 earth and related environmental sciencesGeography (General)geographygeography.geographical_feature_categorySoil percolationLand useBedrockland useHumidity04 agricultural and veterinary sciencesdouble ring testInfiltration (hydrology)Land useSoil water040103 agronomy & agricultureG1-9220401 agriculture forestry and fisheriesEnvironmental sciencenortheastern spainSòls -- HumitatSoil moisturePhysical geographysoil moistureCuadernos de Investigación Geográfica
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Hydrological drivers of wetland vegetation community distribution within Everglades National Park, Florida

2010

The influence of hydrological dynamics on vegetation distribution and the structuring of wetland environments is of growing interest as wetlands are modified by human action and the increasing threat from climate change. Hydrological properties have long been considered a driving force in structuring wetland communities. We link hydrological dynamics with vegetation distribution across Everglades National Park (ENP) using two publicly available datasets to study the probability structure of the frequency, duration, and depth of inundation events along with their relationship to vegetation distribution. This study is among the first to show hydrologic structuring of vegetation communities at…

010504 meteorology & atmospheric sciencesRange (biology)Climate changeWetland010501 environmental sciences01 natural sciencesModelsVegetation typeValidationLandscapeTemporal scales0105 earth and related environmental sciencesWater Science and TechnologyHydrologyEverglades Vegetation Hydrology Wetlandsgeographygeography.geographical_feature_categoryVegetationNational parkSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaCommunity structureVegetation15. Life on landEvergladesScale13. Climate actionWetlandsEnvironmental scienceHydrology
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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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Looking for Hidden Enemies of Metabarcoding: Species Composition, Habitat and Management Can Strongly Influence DNA Extraction while Examining Grassl…

2021

Despite the raising preoccupation, the critical question of how the plant community is composed belowground still remains unresolved, particularly for the conservation priority types of vegetation. The usefulness of metabarcoding analysis of the belowground parts of the plant community is subjected to a considerable bias, that often impedes detection of all species in a sample due to insufficient DNA quality or quantity. In the presented study we have attempted to find environmental factors that determine the amount and quality of DNA extracted from total plant tissue from above- and belowground samples (1,000 and 10,000 cm2). We analyzed the influence of land use intensity, soil properties…

0106 biological sciencesDNA qualitylcsh:QR1-502Plant Roots01 natural sciencesBiochemistrylcsh:MicrobiologyGrasslandgraminoid vegetationSoilCalamagrostis epigejosзлаковая растительностьSoil pHVegetation typeBiomassDNA extractionHolcus lanatusgeography.geographical_feature_categoryEcologybiologyвидовой составBiodiversityVegetationHydrogen-Ion ConcentrationPlantsGrasslandпастбищные сообществаЦентральная Европаbelowground diversityRegression AnalysisSeasonsДНКMagnesium OxideRiskrootsDNA PlantNitrogenPoaceae010603 evolutionary biologyкорнеплодыArticleCoronillaDNA Barcoding TaxonomicMolecular BiologyEcosystemgeographyсреда обитанияCentral EuropePlant communityDNAbiology.organism_classificationAgronomyметабаркодированиеPoland010606 plant biology & botanyBiomolecules
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Can vegetation provide indications of ancient lake shorelines after more than one hundred years? A case study of Iskander-kul Lake, Tajikistan

2017

Abstract Bioindication is a common approach to assess and evaluate environmental changes over both short or long periods of time. Here we attempt to highlight that vegetation can provide indications of the palaeoshoreline of Lake Iskander-kul, even after at least 150 years. It is an example of a dammed lake that was created by a huge mass rockfall as a result of a strong earthquake during the late Pleistocene. Applying the two way indicator species analysis (TWINSPAN) we found that the shrubby vegetation is the particular one that can still effectively thrive along the palaeoshoreline despite the lake downlift. Using the phi coefficient as a fidelity measure for certain vegetation type, we …

0106 biological sciencesSteppeGeneral Decision Sciences010603 evolutionary biology01 natural sciencesVegetation typeScreeFestuca valesiacaEcology Evolution Behavior and Systematicspalaeoshorelinegeographygeography.geographical_feature_categoryEcologybiologyAncient lakeEcologyphytoindicationPlant communityenvironmental changeVegetationbiology.organism_classificationhydrological changesplant communitiesTwo-way indicator species analysis010606 plant biology & botanyEcological Indicators
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Diversity and distribution of Phytophthora species in protected natural areas in Sicily

2019

: The aim of this study was to investigate the occurrence, diversity, and distribution of Phytophthora species in Protected Natural Areas (PNAs), including forest stands, rivers, and riparian ecosystems, in Sicily (Italy), and assessing correlations with natural vegetation and host plants. Fifteen forest stands and 14 rivers in 10 Sicilian PNAs were studied. Phytophthora isolations from soil and stream water were performed using leaf baitings. Isolates were identified using both morphological characters and sequence analysis of the internal transcribed spacer (ITS) region. A rich community of 20 Phytophthora species from eight phylogenetic clades, including three new Phytophthora taxa, was …

0106 biological sciencesVegetation type01 natural sciencesInvasive species030308 mycology & parasitology03 medical and health sciencesNatural ecosystemsNatural ecosystemVegetation typeEcosystemInternal transcribed spacerBaitingRiparian zone0303 health sciencesgeographygeography.geographical_feature_categorybiologyInvasive speciesSoilborne pathogenEcologyfungiInvasive specieITS regionfood and beveragesForestrylcsh:QK900-989Vegetationbiology.organism_classificationBaiting; Invasive species; ITS region; Natural ecosystems; Soilborne pathogens; Streams; Vegetation type; ForestrySoilborne pathogensTaxonStreamslcsh:Plant ecologyStreamPhytophthora010606 plant biology & botany
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Carbon emission along a eutrophication gradient in temperate riverine wetlands: effect of primary productivity and plant community composition

2016

International audience; 1. Eutrophication increases primary productivity and favours the predominance of floating vegetation in wetlands. Carbon (C) fluxes in wetlands are strongly driven by primary productivity and can differ by vegetation type. However, to the best of our knowledge, the role of eutrophication in C fluxes has rarely been assessed. 2. Consequently, we aimed to measure the seasonal variation in carbon dioxide (CO2) and methane (CH4) fluxes at six aquatic sites in four temperate wetlands, ranging along a gradient of sediment total phosphorus content, and determine whether C fluxes correlate with above-ground net primary productivity (ANPP) and plant community composition alon…

0106 biological sciencesproductivity010504 meteorology & atmospheric sciencesplant growth formWetlandAquatic Science01 natural sciencesVegetation type0105 earth and related environmental sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologygeographygeography.geographical_feature_categoryEcology010604 marine biology & hydrobiologymethanePrimary productionfood and beveragescarbon dioxidePlant communityVegetation15. Life on landMacrophytemacrophytesProductivity (ecology)13. Climate actionEnvironmental chemistryEnvironmental science[SDE.BE]Environmental Sciences/Biodiversity and EcologyEutrophication
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A one-dimensional simulation of the interaction between land surface processes and the atmosphere

1992

A one-dimensional soil-vegetation model is developed for future incorporation into a mesoscale model. The interaction of land surface processes with the overlying atmosphere is treated in terms of three coupled balance equations describing the energy and moisture transfer at the ground and the energy state of the vegetation layer. For a complete description of the interaction, the coupled processes of heat and moisture transport within the soil are included as a multilayer soil model. As model verification, successful reproductions of the observed energy fluxes over vegetated surfaces from the HAPEX-MOBILHY experiment in southwestern France and from the LOTREX-10E/HIBE88 field experiment in…

AtmosphereAtmospheric ScienceMoistureMeteorologyPlanetary boundary layerHeat transferVegetation typeMesoscale meteorologyEnvironmental scienceEnergy fluxVegetationAtmospheric sciencesBoundary-Layer Meteorology
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Retrieval and assessment of CO2 uptake by mediterranean ecosystems using remote sensing and

2014

Photosynthesis is a process by which carbon and energy enter ecosystems. The knowledge of where,when, and how carbon dioxide (CO2) is exchanged between terrestrial ecosystems and atmosphere is crucial to close the Earth's carbon budget and predict feedbacks in a likely warming climate. Gross photosynthesis (uptake of CO2) by vegetation is responsible for the gross primary production (GPP) of the ecosystem. Normally GPP refers to the sum of the photosynthesis by all leaves measured at the ecosystem scale. John Monteith proposed in 1972 a simple approach that has become the paradigm for understanding GPP. It considers GPP as proportional to the incident short wave radiation (PAR), the fractio…

Biomass (ecology)GeographyGeography Planning and DevelopmentVegetation typeEarth and Planetary Sciences (miscellaneous)Spatial ecologyEddy covariancePrimary productionTerrestrial ecosystemVegetationRemote sensingSpatial heterogeneityRevista de Teledetección
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Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

2021

Vegetation Types (VTs) are important managerial units, and their identification serves as essential tools for the conservation of land covers. Despite a long history of Earth observation applications to assess and monitor land covers, the quantitative detection of sparse VTs remains problematic, especially in arid and semiarid areas. This research aimed to identify appropriate multi-temporal datasets to improve the accuracy of VTs classification in a heterogeneous landscape in Central Zagros, Iran. To do so, first the Normalized Difference Vegetation Index (NDVI) temporal profile of each VT was identified in the study area for the period of 2018, 2019, and 2020. This data revealed strong se…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceNDVIScienceQvegetation types classification04 agricultural and veterinary sciences15. Life on landTime optimal01 natural sciencesNormalized Difference Vegetation IndexRandom forestIdentification (information)Vegetation typesmachine learning040103 agronomy & agriculturevegetation types classification; multi-temporal images; machine learning; Google Earth Engine; NDVI0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesGoogle Earth EngineCartographymulti-temporal images0105 earth and related environmental sciencesRemote Sensing
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