Search results for "PE&RC"

showing 10 items of 135 documents

No-till durum wheat yield success probability in semi arid climate: A methodological framework

2018

Abstract The aim of this study is to develop a framework for the evaluation of no-till (NT) yield success probability as a decision tool for farmers or decision makers. The effect of soil management on durum wheat yield has been tested on many long-term field experiments. Results of these researches were collected in a unique dataset to evaluate the success of NT management in comparison to conventional tillage (CT) as influenced by the aridity index, crop residue management and cropping system. A total of 519 observations of long-term experiments (>3years) regarding durum wheat in a number of areas with semi arid climate were included in the present study. The relative ratio of yield under…

Crop residueConventional tillage010504 meteorology & atmospheric sciencesSoil ScienceNo-till04 agricultural and veterinary sciencesAgricultural engineeringPE&RC01 natural sciencesSoil managementNo-till farmingAridity indexSemi-arid climate040103 agronomy & agriculture0401 agriculture forestry and fisheriesAridity indexCropping systemAgronomy and Crop ScienceCroppingDurum wheat0105 earth and related environmental sciencesEarth-Surface ProcessesMathematicsSoil and Tillage Research
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Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

2021

Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ec…

Data DescriptorDistribuição GeográficaPlan_S-Compliant-OASoilBiomassbiodiversityDiversityEcologyBiodiversidadeQBiodiversityeliöyhteisötmaaperäeliöstöPE&RCComputer Science ApplicationsMultidisciplinary SciencesBiogeographyinternational1181 Ecology evolutionary biologyEcosystem engineersScience & Technology - Other TopicsStatistics Probability and UncertaintyInformation SystemsStatistics and ProbabilitylierotScienceInvertebradosLibrary and Information Sciences[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studyEcology and EnvironmentEducationeliömaantiede[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMinhocaServiço ambientalBIODIVERSITY CHANGELife ScienceEcosystem servicesEarthwormsDatasetsAnimalsSpatial distributionCommunity ecologyOligochaetaLaboratorium voor NematologieEcosystem1172 Environmental sciencesbiogeographyScience & TechnologyLAND-USEBiology and Life SciencesPLATFORMBodemfysica en LandbeheerEcologíaEcossistemabiodiversiteettiSoil Physics and Land ManagementSoloBiologia do Solomaaperäeläimistö570 Life sciences; biologyeartworm ; abundance ; biomass ; diversityLaboratory of Nematology[SDE.BE]Environmental Sciences/Biodiversity and EcologyCOMMUNITIEScommunity ecology
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BioTIME: A database of biodiversity time series for the Anthropocene

2018

Abstract Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, th…

Data Papers0106 biological sciencesRange (biology)QH301 BiologytemporalNERCBiodiversity:Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP]BIALOWIEZA NATIONAL-PARKspecialcomputer.software_genre[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesspecies richnessSDG 15 - Life on LandbiodiversityGlobal and Planetary ChangeB003-ecologyDatabaseEcologySampling (statistics)SIMULATED HERBIVORYsupporting technologiesLAND-BRIDGE ISLANDS[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCglobal/dk/atira/pure/thematic/inbo_th_00032PRIMEVAL TEMPERATE FORESTGeographyPOPULATION TRENDS/dk/atira/pure/discipline/B000/B003biodiversity; global; special; species richness; temporal; turnoverData PaperSECONDARY FORESTEvolutionESTUARINE COASTAL LAGOON010603 evolutionary biology/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterQH301[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsBehavior and SystematicsAnthropocenebiodiversity; global; spatial; species richness; temporal; turnover; Global and Planetary Change; Ecology Evolution Behavior and Systematics; EcologyVDP::Mathematics and natural science: 400::Zoology and botany: 480species richne14. Life underwaterSDG 14 - Life Below WaterNE/L002531/1ZA4450Relative species abundanceEcology Evolution Behavior and SystematicsZA4450 Databases010604 marine biology & hydrobiologyturnoverRCUKBiology and Life SciencesDAS/dk/atira/pure/technological/ondersteunende_technieken15. Life on landDECIDUOUS FORESTspatialTaxonFish13. Climate actionMCPWildlife Ecology and ConservationLONG-TERM CHANGESpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologycomputerGlobal and Planetary ChangeBIRD COMMUNITY DYNAMICSVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
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Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

2015

Abstract: Forthcoming superspectral satellite missions dedicated to land monitoring, as well as planned imaging spectrometers, will unleash an unprecedented data stream. The processing requirements for such large data streams involve processing techniques enabling the spatio-temporally explicit quantification of vegetation properties. Typically retrieval must be accurate, robust and fast. Hence, there is a strict requirement to identify next-generation bio-geophysical variable retrieval algorithms which can be molded into an operational processing chain. This paper offers a review of state-of-the-art retrieval methods for quantitative terrestrial bio-geophysical variable extraction using op…

Data streamEconomicsComputer scienceOperational variable retrievalcomputer.software_genreLaboratory of Geo-information Science and Remote SensingMachine learningPhysicalLaboratorium voor Geo-informatiekunde en Remote SensingBio-geophysical variablesComputers in Earth SciencesParametricEngineering (miscellaneous)Parametric statisticsRemote sensingData stream miningPhysicsTransparency (human–computer interaction)VegetationPE&RCNon-parametricHybridAtomic and Molecular Physics and OpticsComputer Science ApplicationsVariable (computer science)SatelliteData miningEngineering sciences. TechnologyRetrievabilitycomputerISPRS Journal of Photogrammetry and Remote Sensing
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Performance of Spectral Fitting Methods for vegetation fluorescence quantification

2010

The Fraunhofer Line Discriminator (FLD) principle has long been considered as the reference method to quantify solar-induced chlorophyll fluorescence (F) from passive remote sensing measurements. Recently, alternative retrieval algorithms based on the spectral fitting of hyperspectral radiance observations, Spectral Fitting Methods (SFMs), have been proposed. The aim of this manuscript is to investigate the performance of such algorithms and to provide relevant information regarding their use. FLD and SFMs were used to estimate F starting from Top Of Canopy (TOC) fluxes at very high spectral resolution (0.12 nm) and sampling interval (0.1 nm), exploiting the O2-B (687.0 nm) and O2-A (760.6 …

DiscriminatorreflectanceHyperspectral remote sensingSolar-induced chlorophyll fluorescenceMETIS-304492Soil Science550 - Earth sciencesFraunhofer Line Discriminatorin-vivoNoise (electronics)Spectral lineRadiative transfer simulationLaboratory of Geo-information Science and Remote SensingSampling (signal processing)luminescenceLaboratorium voor Geo-informatiekunde en Remote Sensinginduced chlorophyll fluorescenceComputers in Earth SciencesSpectral resolutionMathematicsRemote sensingcanopymodelphotosynthesisscatteringairborneHyperspectral imagingGeologySpectral Fitting MethodPE&RCAGR/14 - PEDOLOGIASpectroradiometerspectroradiometerRadianceREMOTE SENSING OF ENVIRONMENT
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Post-fire practices benefits on vegetation recovery and soil conservation in a Mediterranean area

2021

Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG. [Abstract] Post-fire practices (PFP) aim to reduce soil erosion and favour vegetation recovery, but their effectiveness is spatially heterogeneous and under debate because of the economic and environmental costs. This study evaluates the different changes (Δ) of canopy cover (CC), sediment connectivity (SC) and local topography in four areas affected by the Pinet fire in eastern Spain (August 8th, 2018) and managed with: totally burnt with tree removal and long log erosion barriers (LEBs) (Pinet-1), partially burnt without PFP (Pinet-2), totally burnt with tree removal and short LEBs (Pinet-3), and totally burnt wit…

Earth Observation and Environmental InformaticsWater en LandgebruikAgroforestryWater and Land UseGeography Planning and DevelopmentForest fireForestryDrone imageryManagement Monitoring Policy and LawPE&RCBodem Water en LandgebruikSoilBodemSoil Water and Land UseAardobservatie en omgevingsinformaticamedicineEnvironmental scienceMediterranean areaLog erosion barrierVegetation recoverymedicine.symptomVegetation (pathology)Soil conservationSediment connectivityNature and Landscape ConservationLand Use Policy
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Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

2017

Remote sensing data analysis is knowing an unprecedented upswing fostered by the activities of the public and private sectors of geospatial and environmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth Observation, such as land cover and use updating, urban dynamics, or vegetation and crop monitoring. In the upcoming years even richer information will be available: more sophisticated hyperspectral sensors with high spectral resolution, multispectral sensors with sub-metric spatial detail or drones that can be deployed in very short time lapses. Besides such opportunities, these new and wealthy infor…

Earth observationGeospatial analysis010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputer scienceMultispectral image0211 other engineering and technologiesHyperspectral imaging02 engineering and technologycomputer.software_genreMachine learningPE&RC01 natural sciencesSupport vector machineKernel methodKernel (image processing)Laboratory of Geo-information Science and Remote SensingLife ScienceLaboratorium voor Geo-informatiekunde en Remote SensingArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciences
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The Ecology of Hyperparasitoids.

2021

Hyperparasitoids are some of the most diverse members of insect food webs. True hyperparasitoids parasitize the larvae of other parasitoids, reaching these larvae with their ovipositor through the herbivore that hosts the parasitoid larva. During pupation, primary parasitoids also may be attacked by pseudohyperparasitoids that lay their eggs on the parasitoid (pre)pupae. By attacking primary parasitoids, hyperparasitoids may affect herbivore population dynamics, and they have been identified as a major challenge in biological control. Over the past decades, research, especially on aphid- and caterpillar-associated hyperparasitoids, has revealed that hyperparasitoids challenge rules on nutri…

EntomologyFood ChainPopulationWaspsDuurzame gewasbeschermingBiologyInsect food webParasitoidHost-Parasite InteractionsMultitrophic interactionsAnimalsLaboratory of EntomologyeducationEcology Evolution Behavior and SystematicsTrophic leveleducation.field_of_studyHerbivoreAphidParasietenEcologyEcologyHost searching Hyperparasitoid Indirect interactions Insect food web Multitrophic interactions ParasitismIndirect interactionsHyperparasitoidbiology.organism_classificationPE&RCLaboratorium voor EntomologiePupaParasitismInsect ScienceLarvaHost searchingOvipositorEPSAnnual review of entomology
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Effects of soil management techniques on soil water erosion in apricot orchards.

2016

Soil erosion is extreme in Mediterranean orchards due to management impact, high rainfall intensities, steep slopes and erodible parent material. Vall d'Albaida is a traditional fruit production area which, due to the Mediterranean climate and marly soils, produces sweet fruits. However, these highly productive soils are left bare under the prevailing land management and marly soils are vulnerable to soil water erosion when left bare. In this paper we study the impact of different agricultural land management strategies on soil properties (bulk density, soil organic matter, soil moisture), soil water erosion and runoff, by means of simulated rainfall experiments and soil analyses. Three rep…

Environmental EngineeringAgriculture land managementSoil biodiversity010501 environmental sciencesMediterranean01 natural sciencesSoil managementNo-till farmingEnvironmental ChemistryWaste Management and Disposal0105 earth and related environmental sciencesSoil organic matter04 agricultural and veterinary sciencesBodemfysica en LandbeheerSoil typePE&RCPollutionSettore AGR/02 - Agronomia E Coltivazioni ErbaceeSoil Physics and Land ManagementAgronomy040103 agronomy & agricultureRainfall simulationAgriculture land management; Hydrology; Mediterranean; Rainfall simulation; Soil water erosion; Environmental Chemistry; Pollution; Waste Management and Disposal; Environmental Engineering0401 agriculture forestry and fisheriesEnvironmental scienceSoil fertilityHydrologySoil water erosionSoil conservationSurface runoffThe Science of the total environment
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Runoff initiation, soil detachment and connectivity are enhanced as a consequence of vineyards plantations.

2017

[EN] Rainfall-induced soil erosion is a major threat, especially in agricultural soils. In the Mediterranean belt, vineyards are affected by high soil loss rates, leading to land degradation. Plantation of new vines is carried out after deep ploughing, use of heavy machinery, wheel traffic, and trampling. Those works result in soil physical properties changes and contribute to enhanced runoff rates and increased soil erosion rates. The objective of this paper is to assess the impact of the plantation of vineyards on soil hydrological and erosional response under low frequency - high magnitude rainfall events, the ones that under the Mediterranean climatic conditions trigger extreme soil ero…

Environmental EngineeringFarmsDetachmentWater flowRain010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesSedimentsSoilErosionConnectivityWaterSedimentsDetachmentRainfall simulationWater MovementsVitisWaste Management and Disposal0105 earth and related environmental sciences2. Zero hungerHydrologyGeografia agrícolaConnectivitySoil organic matterWaterSedimentAgricultureCOMERCIALIZACION E INVESTIGACION DE MERCADOS04 agricultural and veterinary sciencesGeneral MedicineBodemfysica en Landbeheer15. Life on landPE&RCSettore AGR/02 - Agronomia E Coltivazioni ErbaceeSoil Physics and Land ManagementInfiltration (hydrology)ErosionSoil waterRainfall simulation040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffSoil conservationJournal of environmental management
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