Search results for " Ecosystems"

showing 10 items of 133 documents

Aspects of soil phenolic matter (SPM): An explorative investigation in agricultural, agroforestry, and wood ecosystems

2014

Abstract This paper assesses the distribution of soil phenolic matter (SPM) in soil environments from a pedological perspective, with particular emphasis on soil horizonation and its involvement in pedogenic processes. The study was conducted on 15 soil profiles (Andosols, Calcisols, Cambisols, Lixisols, Phaeozems, Podzols, Umbrisols) covering five distinct ecosystems. Although the ecosystems were virtually homogeneous in and of themselves, they represented strongly contrasting climates, geolithology and morphology, land use and vegetation cover (intensive agriculture, chestnut grove, alpine pasture, woody reforestations, and natural woods). Three main SPM fractions were categorised: (i) “t…

Anthropised ecosystemCambisolIntensive farmingSoil organic matterSoil SciencePedogenesiSoil scienceWeatheringPodzolPedogenesisSettore AGR/14 - PedologiaNatural ecosystemEnvironmental chemistryLeaching (pedology)Environmental scienceEcosystemSoil phenolic matter Natural ecosystems Anthropised ecosystems Horizonation PedogenesisHorizonationSoil phenolic matterGeoderma
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Pedotechnique applications in large-scale farming: Economic value, soil ecosystems services and soil security

2019

Abstract Since ancient times Humans and Soil have experienced interwoven links. Nowadays soil scientists continue to stress such links highlighting the importance of soil in: i) satisfying the ever growing Human demand for food, water and energy, and ii) providing ecosystem services that mitigate climate changes, influence human health and improve biodiversity. Pedotechniques are recently used to generate soils suitable for table grape cultivation in order to increase productivity and grape quality, thus to get substantial financial returns. We show one emblematic study case of pedotechniques applied in Sicily (Italy). Aims of the investigation were: i) stressing threats to soil security de…

Anthropogenic soil010504 meteorology & atmospheric sciencesNatural resource economicsbusiness.industrySocial sustainabilityBiodiversityPedotechniqueSoil ecosystems service04 agricultural and veterinary sciences01 natural sciencesEcosystem servicesSoil securitySettore AGR/14 - PedologiaAgricultureSettore AGR/01 - Economia Ed Estimo RuraleSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesProfitability indexbusinessProductivityEnvironmental quality0105 earth and related environmental sciencesEarth-Surface ProcessesCATENA
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Science Advances

2019

River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constrai…

Aquatic Ecology and Water Quality Managementriparian zonesORGANIC-MATTER DECOMPOSITIONBiodiversité et EcologieOceanografi hydrologi och vattenresurser/dk/atira/pure/sustainabledevelopmentgoals/life_on_landCarbon CycleCARBONekosysteemitOceanography Hydrology and Water Resourcesbiomesbiomitddc:570carbon cycleHumansSTREAMSLife ScienceHuman ActivitiesRiparian zonesTEMPERATUREInstitut für Biochemie und BiologieEcosystemComputingMilieux_MISCELLANEOUSSDG 15 - Life on Landaquatic ecosystemsScience & TechnologyWIMEKhiilen kiertovesiekosysteemitAquatic EcologyAquatische Ecologie en WaterkwaliteitsbeheerriversMultidisciplinary Sciencesekosysteemit (ekologia)BiomonitoringarticlesScience & Technology - Other Topics[SDE.BE]Environmental Sciences/Biodiversity and EcologyecosystemsjoetEnvironmental Monitoring
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Analysis of the vertical distribution in a model of phytoplankton dynamics

2010

Phytoplankton often faces the dilemma of living in contrasting gradients of two essential resources: the light that comes from above and nutrients that are often supplied from below. In poorly mixed water columns, algae can be heterogeneously distributed, with thin layers of biomass found on the surface, in depth, or on the sediment surface. Here, we show that these patterns can result from intraspecific competition between light and nutrients. First, we present numerical solutions of a reaction-diffusion-taxis model for phytoplankton, nutrients and light. We argue that motile phytoplankton can form a thin layer under poorly mixed conditions. The numerical solution of this model indicates t…

Aquatic ecosystemsSpatial patternPhytoplanktonSettore FIS/01 - Fisica Sperimentale
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Ecological indicators – Schrödinger Ratio

2008

Biomass Entropy Entropy production Exergy Eutrophication Lake ecosystems Negentropy Nonequilibrium systems Phytoplankton RespirationEntropyRespirationPhytoplanktonLake ecosystemsBiomassExergyEutrophicationNegentropyEntropy productionNonequilibrium systems
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Botanical excursions in central and Western Sicily - Field Guide For the 60th IAVS Symposium

2017

Botany Sicily Mediterranean Ecosystems Vegetation Flora Landscape
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Habitat preferences of bats in a rural area of Sicily determined by acoustic surveys

2009

<strong>Abstract</strong> The bat fauna of a 60 km<sup>2</sup> wide area representing the typical rural landscape of inland Sicily and including the small “Rocche di Entella” karstic plateau (Natural Reserve and SAC) was surveyed between May 2006 and September 2007. Sampling was carried out at 95 sites, distributed proportionally in six main habitats. Bat calls were time-expanded with a D980 bat detector and then identified to species level by a Discriminant Function Analysis. We recorded 305 bat passes and identified 96.4% of recorded calls. Moon phase, cloud cover and their interaction did not affect total bat activity, nor did the sampling peri…

Chiroptera; species richness; rural ecosystems; SAC; southern ItalyChiroptera; Rural ecosystems; SAC; Southern italy; Species richnessChiropteralcsh:ZoologySettore BIO/05 - ZoologiaSAClcsh:Qrural ecosystemslcsh:QL1-991Rural ecosystemlcsh:ScienceSouthern italySpecies richness
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How diffusivity, thermocline and incident light intensity modulate the dynamics of Deep Chlorophyll Maximum in Tyrrhenian Sea

2015

During the last few years theoretical works have shed new light and proposed new hypotheses on the mechanisms which regulate the spatio-temporal behaviour of phytoplankton communities in marine pelagic ecosystems. Despite this, relevant physical and biological issues, such as effects of the time- dependent mixing in the upper layer, competition between groups, and dynamics of non-stationary deep chlorophyll maxima, are still open questions. In this work, we analyze the spatio-temporal behaviour of five phytoplankton populations in a real marine ecosystem by using a one-dimensional reaction-diffusion-taxis model. The study is performed, taking into account the seasonal variations of environm…

Chlorophyll0106 biological sciencesLight010504 meteorology & atmospheric sciencesMixed layerlcsh:MedicineOceanographyRandom processeAtmospheric sciences01 natural scienceschemistry.chemical_compoundPhytoplanktonMediterranean SeaMarine ecosystemSpatial ecologySeawaterMarine ecosystem14. Life underwaterPhytoplankton dynamiclcsh:Science0105 earth and related environmental sciencesDeep chlorophyll maximumMultidisciplinaryEcology010604 marine biology & hydrobiologylcsh:RTemperaturePelagic zoneModels TheoreticalSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensitychemistry13. Climate actionChlorophyllPhytoplanktonStochastic differential equationsDeep chlorophyll maximumEnvironmental sciencelcsh:QThermoclineAlgorithmsResearch Article
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Spatio-temporal dynamics of a planktonic system and chlorophyll distribution in a 2D spatial domain: matching model and data

2017

AbstractField data on chlorophyll distribution are investigated in a two-dimensional spatial domain of the Mediterranean Sea by using for phytoplankton abundances an advection-diffusion-reaction model, which includes real values for physical and biological variables. The study exploits indeed hydrological and nutrients data acquired in situ, and includes intraspecific competition for limiting factors, i.e. light intensity and phosphate concentration. As a result, the model allows to analyze how both the velocity field of marine currents and the two components of turbulent diffusivity affect the spatial distributions of phytoplankton abundances in the Modified Atlantic Water, the upper layer…

Chlorophyll0301 basic medicineChlorophyll aScienceSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Partial differential equationsAtmospheric sciencesArticlePhosphates03 medical and health scienceschemistry.chemical_compoundSpatio-Temporal AnalysisMediterranean seaWater columnPhytoplanktonMediterranean SeaMarine ecosystemSpatial ecologySeawaterTransectPhytoplankton dynamicMultidisciplinaryEcologyChlorophyll AQTemperatureRModels TheoreticalPlanktonPartial differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensity030104 developmental biologychemistryChlorophyllPhytoplanktonMedicineEnvironmental scienceSeasonsScientific Reports
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Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion …

2013

A stochastic advection-reaction-diffusion model with terms of multiplicative white Gaussian noise, valid for weakly mixed waters, is studied to obtain the vertical stationary spatial distributions of two groups of picophytoplankton, i.e., picoeukaryotes and Prochlorococcus, which account about for 60% of total chlorophyll on average in Mediterranean Sea. By numerically solving the equations of the model, we analyze the one-dimensional spatio-temporal dynamics of the total picophytoplankton biomass and nutrient concentration along the water column at different depths. In particular, we integrate the equations over a time interval long enough, obtaining the steady spatial distributions for th…

ChlorophyllPopulation DynamicsPopulation ModelingRandom processeAtmospheric scienceschemistry.chemical_compoundTheoretical EcologyWater columnMediterranean seaDeep chlorophyll maximumCalculusMultidisciplinaryEcologybiologyEcologyApplied MathematicsPhysicsQStatisticsRComplex SystemsStochastic differential equationsInterdisciplinary PhysicsMedicineDeep chlorophyll maximumProchlorococcusResearch ArticleChlorophyll aScienceStatistical MechanicsDifferential EquationsPhytoplanktonMarine ecosystemMediterranean SeaSpatial ecologyStatistical MethodsPhytoplankton dynamicBiologyComputerized SimulationsStochastic ProcessesPopulation BiologyAdvectionComputational BiologyRandom VariablesModels TheoreticalSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsProbability Theorybiology.organism_classificationMarine EnvironmentsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Nonlinear DynamicschemistryChlorophyllComputer SciencePhytoplanktonEcosystem ModelingMathematicsEcological EnvironmentsPLoS ONE
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