Search results for "computer"

showing 10 items of 30657 documents

Fifteen operationally important decisions in the planning of biodiversity offsets

2018

Many development projects, whether they are about construction of factories, mines, roads, railways, new suburbs, shopping malls, or even individual houses, have negative environmental consequences. Biodiversity offsetting is about compensating that damage, typically via habitat restoration, land management, or by establishment of new protected areas. Offsets are the fourth step of the so-called mitigation hierarchy, in which ecological damage is first avoided, minimized second, and third restored locally. Whatever residual damage remains is then offset. Offsetting has been increasingly adopted all around the world, but simultaneously serious concerns are expressed about the validity of the…

0106 biological sciencesBiodiversity offsettingComputer scienceta1172FrameworkCONSERVATIONLand managementBiodiversity010501 environmental sciencesResidualECOLOGY010603 evolutionary biology01 natural sciences12. Responsible consumptionOperational designAdditionalityMANAGEMENTympäristövastuuOffset ratioRestoration ecologyEcology Evolution Behavior and SystematicsMultiplier1172 Environmental sciences0105 earth and related environmental sciencesNature and Landscape ConservationRESTORATIONOUTCOMESSubjective judgmentPERMANENCEEcological compensation15. Life on landEnvironmental economicsPOLICYkompensointibiodiversiteettiCONTEXTympäristövaikutukset13. Climate actionNo net lossADDITIONALITYta1181Time preferenceFlexibility
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Evolution of sexually dimorphic pheromone profiles coincides with increased number of male‐specific chemosensory organs in Drosophila prolongata

2019

Abstract Binary communication systems that involve sex‐specific signaling and sex‐specific signal perception play a key role in sexual selection and in the evolution of sexually dimorphic traits. The driving forces and genetic changes underlying such traits can be investigated in systems where sex‐specific signaling and perception have emerged recently and show evidence of potential coevolution. A promising model is found in Drosophila prolongata, which exhibits a species‐specific increase in the number of male chemosensory bristles. We show that this transition coincides with recent evolutionary changes in cuticular hydrocarbon (CHC) profiles. Long‐chain CHCs that are sexually monomorphic …

0106 biological sciencesBiodiversité et Ecologiehydrocarbure cuticulaire[SDV]Life Sciences [q-bio]polymorphismeBiologyBristle010603 evolutionary biology01 natural sciencesIntraspecific competitioncuticular hydrocarbons;pheromones;sex-limited polymorphism;sexual dimorphismBiodiversity and Ecology03 medical and health sciencesPolymorphism (computer science)lcsh:QH540-549.5sex-limited polymorphismphéromoneEcology Evolution Behavior and SystematicsCoevolution030304 developmental biologyNature and Landscape ConservationOriginal Research0303 health sciencesEvolutionary BiologyEcologysex‐limited polymorphismcuticular hydrocarbonsdimorphisme sexuelSexual dimorphismEvolutionary biologySexual selectionSex pheromonesexual dimorphismPheromonelcsh:EcologypheromonesEcology and Evolution
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Plankton Tracker: A novel integrated system to investigate the dynamic sinking behavior in phytoplankton

2020

Abstract Phytoplankton sinking is an important property that can determine community composition, affecting nutrient and light absorption in the photic zone, and influencing biogeochemical cycling via material loss to the deep ocean. To date, the difficulty in exploring the sinking processes is partly due to methodological limitations in measuring phytoplankton sinking rate. However, in the last decade, works have illustrated various methods based on some non-invasive and low perturbing approaches (laser scanner, video-microscopy, fluorescence spectroscopy). In this study, we review the methods for sinking rate estimation and describe the Plankton Tracker, a novel integrated system to inves…

0106 biological sciencesBiogeochemical cycle010603 evolutionary biology01 natural sciencesDeep seaCoscinodiscus sp.PhytoplanktonPhotic zoneVideo-microscopyEcology Evolution Behavior and SystematicsIndividual-based tracking methodEcologybiology010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingDinoflagellatePlanktonbiology.organism_classificationComputer Science ApplicationsOceanographyComputational Theory and MathematicsModeling and SimulationPhytoplanktonSinking behaviorTrajectoryEnvironmental science
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Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates

2012

Marine N<sub>2</sub> fixing microorganisms, termed diazotrophs, are a key functional group in marine pelagic ecosystems. The biological fixation of dinitrogen (N<sub>2</sub>) to bioavailable nitrogen provides an important new source of nitrogen for pelagic marine ecosystems and influences primary productivity and organic matter export to the deep ocean. As one of a series of efforts to collect biomass and rates specific to different phytoplankton functional groups, we have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling about 12 000 direct field measurements of cyanobacterial diazotroph abundances (based on microscopic …

0106 biological sciencesBiogeochemical cyclePHYTOPLANCTON010504 meteorology & atmospheric sciencesPRODUCTION PRIMAIREFONCTIONNEMENT DE L'ECOSYSTEMEBiologycomputer.software_genre01 natural sciencesDeep seaABONDANCEAbundance (ecology)PhytoplanktonEcosystem14. Life underwaterlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350Biomass (ecology)BIOMASSEDatabase010604 marine biology & hydrobiologyFIXATION BIOLOGIQUE DE L'AZOTElcsh:QE1-996.5MICROORGANISMEPelagic zoneBASE DE DONNEESlcsh:GeologyOceanography13. Climate action[SDU]Sciences of the Universe [physics]MILIEU MARINNitrogen fixationGeneral Earth and Planetary Sciencescomputer
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Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

2019

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environment is a promising tool which would revolutionize video and image analysis for a wide range of applications in marine ecology. However, classifying fish from images captured by underwater cameras is in general very challenging due to noise and illumination variations in water. Previous classification methods in the literature relies on filtering the images to separate the fish from the background or sharpening the images by removing background noise. This pre-filtering process may negatively impact the classificat…

0106 biological sciencesBiometricsComputer sciencebusiness.industry010604 marine biology & hydrobiologyPattern recognitionSharpening010603 evolutionary biology01 natural sciencesConvolutional neural networkBackground noiseA priori and a posterioriArtificial intelligenceUnderwaterbusinessTransfer of learningClassifier (UML)
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EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

2020

Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each ha…

0106 biological sciencesBos- en Landschapsecologiecoastal habitat ; diagnostic species ; distribution map ; dune vegetation European Nature Information System (EUNIS) ; European Vegetation Archive (EVA) ; expert system ; forest ; grassland ; habitat classification ; man-made habitat ; shrubland ; vegetation database ; vegetation plot ; wetlandBiodiversityDistribution (economics)Wetlandcomputer.software_genre01 natural sciencesGrasslandforestman-made habitatForest and Landscape EcologyPlant ecologybiodiversitygeography.geographical_feature_categoryEcologyVegetationPE&RCwetlandEuropeGeographyHabitathabitat classificationVegetatie Bos- en LandschapsecologieEuropaEuropean Nature Information System (EUNIS)Cartographydune vegetationvegetation plotHabitat (Ecology)databasescoastal habitat; diagnostic species; distribution map; dune vegetation; European Nature Information System (EUNIS); European Vegetation Archive (EVA); expert system; forest; grassland; habitat classification; man-made habitat; shrubland; vegetation database; vegetation plot; wetlandHàbitat (Ecologia)Management Monitoring Policy and Law010603 evolutionary biologyShrublanddistribution mapvegetationinvasionsvegetation database14. Life underwatercoastal habitat577: ÖkologieVegetatieNature and Landscape Conservationexpert systemforestsVegetationbusiness.industryEcologia vegetalwetland formalized classificationalien plants15. Life on landExpert systemfidelitydiagnostic speciesexampleVegetation Forest and Landscape Ecologygrassland[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessman‐made habitatshrublandcomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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A unified vegetation index for quantifying the terrestrial biosphere

2021

[EN] Empirical vegetation indices derived from spectral reflectance data are widely used in remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf pigment content, and, subsequently, plant photosynthetic potential. Here, we generalize the broad family of commonly used vegetation indices by exploiting all higher-order relations between the spectral channels involved. This results in a higher sensitivity to vegetation biophysical and physiological parameters. The presented nonlinear generalization of the celebrated normalized difference vegetation index (NDVI) consistently improves accuracy in monitoring key parameters, such as leaf area index, gross prim…

0106 biological sciencesCanopyEarth observation010504 meteorology & atmospheric sciencesEnvironmental StudiesComputerApplications_COMPUTERSINOTHERSYSTEMSAtmospheric sciences01 natural sciencesNormalized Difference Vegetation IndexGeneralLiterature_MISCELLANEOUSPhysics::GeophysicsComputerApplications_MISCELLANEOUSmedicineLeaf area indexResearch Articles0105 earth and related environmental sciencesComputingMethodologies_COMPUTERGRAPHICSMultidisciplinaryGlobal warmingBiosphereSciAdv r-articles15. Life on land13. Climate actionComputer ScienceEnvironmental scienceSatellitemedicine.symptomVegetation (pathology)010606 plant biology & botanyResearch Article
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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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Chlorophyll fluorescence as a tool for management of plant resources

1994

Abstract Light-induced chlorophyll fluorescence has become a tool which has ever-increasing potential application to experimental plant physiology. The effects of frost, heat, and drought have been analyzed using the kinetics of individual leaves of two representative types of life form: an evergreen tree (holm oak) dominant in the Mediterranean Basin and an annual cultivated legume (soybean). Various indices were used to quantify their response to environmental stress. Canopy fluorescence for the two types of plants was simulated. For two levels of measurement, leaf or canopy, light-induced fluorescence appears to be helpful for forest or crop management in the Mediterranean area.

0106 biological sciencesCanopy[SPI.OTHER]Engineering Sciences [physics]/Other010504 meteorology & atmospheric scienceshealth care facilities manpower and serviceseducationSoil Science01 natural sciencesMediterranean Basinchemistry.chemical_compoundBotanyComputers in Earth SciencesChlorophyll fluorescencehealth care economics and organizations0105 earth and related environmental sciencesRemote sensingbiology[SPI.OTHER] Engineering Sciences [physics]/Otherfungifood and beveragesPlant physiologyGeology15. Life on landEvergreenbiology.organism_classificationFagaceaechemistryAgronomyChlorophyllFrostEnvironmental science010606 plant biology & botany
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