Search results for "rame"

showing 10 items of 18055 documents

A conceptual framework for the integral management of marine protected areas

2009

A general conceptual framework for the management of marine protected areas (MPAs) was developed. The driver-pressure-state-impacts-response (DPSIR) framework was used to determine the elements affecting MPAs. The developed evaluation framework helped to select an appropriate suite of indicators to support an ecosystem approach, an assessment of the MPAs functioning and policy decisions. Gaps derived from the management and policy responses in the MPAs were also outlined. It was concluded that the DPSIR framework can help to simplify the complexity of MPA management. This document is a tool for policy makers, scientists and general public on the relevance of indicators to monitor changes an…

0106 biological sciences[SDE.MCG]Environmental Sciences/Global Changes010501 environmental sciencesManagement Monitoring Policy and LawAquatic ScienceOceanography01 natural sciencesPolicy decisionConceptual frameworkEcosystem approachMarine protected areasCentro Oceanográfico de CanariasRelevance (information retrieval)Zoología14. Life underwaterMedio Marino0105 earth and related environmental sciencesbusiness.industry010604 marine biology & hydrobiologyDPSIREnvironmental resource managementMarine protected areas Mediterranean DPSIREcologíaManagementConceptual framework13. Climate actionConceptual designMarine protected areaBusiness
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Habitat modeling for cetacean management: Spatial distribution in the southern Pelagos Sanctuary (Mediterranean Sea)

2017

International audience; Effective management and conservation of wild populations requires knowledge of their habitats, especially by mean of quantitative analyses of their spatial distributions. The Pelagos Sanctuary is a dedicated marine protected area for Mediterranean marine mammals covering an area of 90,000km2 in the north-western Mediterranean Sea between Italy, France and the Principate of Monaco. In the south of the Sanctuary, i.e. along the Sardinian coast, a range of diverse human activities (cities, industry, fishery, tourism) exerts several current ad potential threats to cetacean populations. In addition, marine mammals are recognized by the EU Marine Strategy Framework Direct…

0106 biological sciences[SDE.MCG]Environmental Sciences/Global ChangesPopulationStenella coeruleoalbaOceanography010603 evolutionary biology01 natural sciencesMarine Strategy Framework DirectiveMediterranean sea[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystemsbiology.animal14. Life underwatereducationBayesian modelsCetacean distributionseducation.field_of_studybiologyBalaenopteraEcology010604 marine biology & hydrobiologyconservation15. Life on landBottlenose dolphinbiology.organism_classificationFisheryMpaGeographyOceanographyHabitat13. Climate actionMarine protected area[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Characterization of Fusarium oxysporum populations by growth parameter evaluation in microtiter plates

1997

Trophic competition for the C source is the main mechanism involved in the interaction between pathogenic and non-pathogenic populations of Fusarium oxysporum. Therefore, a phenotypical characterization based on the growth characteristics of these populations will provide classical genotypical characterizations with additionnal information of ecological significance.

0106 biological sciences[SDE] Environmental Sciences0303 health sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]food and beveragesBiologybiology.organism_classification01 natural sciencesCompetition (biology)[SDV] Life Sciences [q-bio]03 medical and health sciencesGrowth parameterFusarium oxysporumEcological significanceBotany[SDE]Environmental SciencesComputingMilieux_MISCELLANEOUSECOLOGIE030304 developmental biology010606 plant biology & botanyTrophic levelmedia_common
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Fruit size in relation to competition for resources: A common model shared by two species and several genotypes grown under contrasted carbohydrate l…

2012

International audience; Fruit size is one important criterion of fruit external quality affecting consumer acceptance. The effects of seed number on fruit size in two fleshy fruits, grape and tomato, of different genotypes and grown under distinct carbohydrate availability levels were analyzed with a model. The two-parameter model described within-fruit resource competition and was able to well represent the commonly observed decrease in fresh weight per seed along with the increase in number of seeds, regardless of species, genotypes, and carbohydrate levels that were evaluated in this study. However, carbohydrate levels largely modified the correlation between seed number and fresh weight…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesCompetition levelmodel selectionmedia_common.quotation_subjectModel parametersQuantitative trait locusBiologytomatofruit load01 natural sciencessizeCompetition (biology)03 medical and health sciencesquantitative trait locusGenotype[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitis[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyDomestication030304 developmental biologymedia_common2. Zero hungerresource competition0303 health sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesfungiFresh weightfood and beveragesCarbohydrateHorticultureAgronomyseed010606 plant biology & botany
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Macrophytes in boreal streams: Characterizing and predicting native occurrence and abundance to assess human impact

2016

Abstract Macrophytes are a structurally and functionally essential element of stream ecosystems and therefore indispensable in assessment, protection and restoration of streams. Modelling based on continuous environmental gradients offers a potential approach to predict natural variability of communities and thereby improve detection of anthropogenic community change. Using data from minimally disturbed streams, we described natural macrophyte assemblages in pool and riffle habitats separately and in combination, and explored their variation across large scale environmental gradients. Specifically, we developed RIVPACS-type models to predict the presence and abundance of macrophyte taxa at …

0106 biological sciencesbioassessmentRiffleEcologyEcologyNull model010604 marine biology & hydrobiologyagricultural pressureGeneral Decision SciencesSTREAMSpredictive modelsreference condition010603 evolutionary biology01 natural sciencesMacrophyteRIVPACSRIVPACSBorealHabitatwater framework directiveta1181Environmental scienceEcosystemEcology Evolution Behavior and SystematicsEcological Indicators
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Cyclopoids feed selectively on free‐living stages of parasites

2020

0106 biological sciencesbiology010604 marine biology & hydrobiologyZoologyParameciumAquatic Sciencebiology.organism_classification010603 evolutionary biology01 natural sciencesFreshwater ecosystemFreshwater Biology
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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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S-34 and N-15 labelling to model S and N flux in plants and determine the different components of N and S use efficiency

2013

International audience; In order to highlight our understanding on ecosystems functioning and resource sharing/competition, either in artificial environment or agrosystems, according to changes in the climatic conditions, it is necessary to measure accurately element fluxes within plants. Stable isotopes allow tracking safely and accurately on a short time frame the behavior of elements in plants. After a short review devoted to isotopic studies of elemental flux within plants, we explain how a direct multiple labelling study might be conducted in a plant, so as to measure over short time nitrogen and sulfur acquisition, and assimilates arising from a labelled source.

0106 biological sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]Allocation01 natural sciencesMeasure (mathematics)Competition (biology)RemobilizationArtificial environment03 medical and health sciencesFlux (metallurgy)Time frameLabellingNutrient use efficiency[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyEcosystem030304 developmental biologymedia_common0303 health sciencesFluxStable isotope ratioIsotope13. Climate action[SDE]Environmental SciencesEnvironmental scienceBiological system010606 plant biology & botany
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How to reach optimal estimates of confidence intervals in microscopic counting of phytoplankton?

2021

Abstract Present practices in the microscopic counting of phytoplankton to estimate the reliability of results rely on the assumption of a random distribution of taxa in sample preparations. In contrast to that and in agreement with the literature, we show that aggregated distribution is common and can lead to over-optimistic confidence intervals, if estimated according to the shortcut procedure of Lund et al. based on the number of counted cells. We found a good linear correlation between the distribution independent confidence intervals for medians and those for parametric statistics so that 95% confidence intervals can be approximated by using a correction factor of 1.4. Instead, the rec…

0106 biological sciencestilastomenetelmätSample (statistics)mikroskopiaAquatic Scienceluottamustasotdynamic counting010603 evolutionary biology01 natural sciencesStatisticsAcademicSubjects/SCI00970laskeminenconfidence intervalsERROREcology Evolution Behavior and SystematicsReliability (statistics)estimointiParametric statisticsMathematicsEcology010604 marine biology & hydrobiologyplanktonContrast (statistics)mikrolevätConfidence interval1181 Ecology evolutionary biologymicroscopyphytoplanktonOriginal ArticleLinear correlationJournal of Plankton Research
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Marine alien species in Italy: A contribution to the implementation of descriptor D2 of the marine strategy framework directive

2019

A re-examination of marine alien species or Non Indigenous Species (NIS) reported in Italian Seas, until December 2018, is provided, focusing on establishment success, year of first record, origin, potential invasiveness, and likely pathways, in particular. Furthermore, their distribution is assessed according to the marine subregions outlined by the European Union (EU) Marine Strategy Framework Directive: Adriatic Sea (ADRIA), Ionian Sea and Central Mediterranean Sea (CMED), and Western Mediterranean Sea (WMED). In Italy, 265 NIS have been detected with the highest number of species being recorded in the CMED (154 species) and the WMED (151 species) subregions, followed by the ADRIA (143) …

0106 biological sciencestrendsEnvironmental EngineeringSettore BIO/05 - ZoologiaAlienAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesMarine Strategy Framework DirectiveMediterranean seaMediterranean Seamedia_common.cataloged_instance14. Life underwaterEuropean unionΜarine alien species; trends; MSFD; Italy; Mediterranean SeaMSFDAlien speciesMolluscaEcology Evolution Behavior and Systematicsmedia_commonDescriptor D2biologyΜarine alien species010604 marine biology & hydrobiologymarine alien speciesbiology.organism_classificationItaly.FisherytrendGeographyTaxonItalyMarine alien specieTrendsΜarine alien specieGlobal biodiversity
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