Search results for "Seasons."

showing 10 items of 331 documents

Low fitness at low latitudes: Wintering in the tropics increases migratory delays and mortality rates in an Arctic breeding shorebird

2020

Publisher's version (útgefin grein)

0106 biological sciencesSurvivalBird migrationIcelandVaðfuglarBreedingmigration01 natural sciencesGhanaRECAPTURE MODELSFitnessSeasonal breedertimingSANDERLINGSMigrationArctic RegionsMortality rateMauritanianutrient storage strategiesNamibiaBIRD MIGRATIONfitnessEuropeCalidrisGeographySeasonsSolar geolocationResearch Articlefood.ingredientDIFFERENTIAL MIGRATIONSubtropics010603 evolutionary biologysurvivalLatitudefoodWESTERN SANDPIPERSAnimals14. Life underwaterTimingEcology Evolution Behavior and SystematicsDemographysolar geolocationCONSEQUENCES010604 marine biology & hydrobiologyLifun (náttúrufræði)Far dýraTropicsSANDPIPERS CALIDRIS-MAURIBODY-MASSNutrient storage strategiesLýðfræðiFisheryArcticPATTERNSAnimal Science and ZoologyAnimal Migrationsite fidelitySite fidelity
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Trans-equatorial migration routes, staging sites and wintering areas of a High-Arctic avian predator: the Long-tailed Skua (Stercorarius longicaudus).

2013

The Long-tailed Skua, a small (,300 g) Arctic-breeding predator and seabird, is a functionally very important component of the Arctic vertebrate communities in summer, but little is known about its migration and winter distribution. We used lightlevel geolocators to track the annual movements of eight adult birds breeding in north-east Greenland (n = 3) and Svalbard (n = 5). All birds wintered in the Southern Hemisphere (mean arrival-departure dates on wintering grounds: 24 October-21 March): five along the south-west coast of Africa (0–40uS, 0–15uE), in the productive Benguela upwelling, and three further south (30–40uS, 0–50uE), in an area extending into the south-west Indian Ocean. Diffe…

0106 biological sciencesTime FactorsGreenlandlcsh:MedicinehabitatBreeding01 natural sciencesSkuaSvalbardMarine ConservationStercorarius longicaudusOrnithologyFlywayOceansmovementsnorth-atlanticlcsh:ScienceAtlantic Oceanatlantic-ocean[SDV.EE]Life Sciences [q-bio]/Ecology environmentMultidisciplinarygeography.geographical_feature_categoryEcologyAnimal BehaviorbiologyArctic RegionsEcologyMarine EcologydynamicstrackingGeographygeolocationBiogeographyclimate-changeSeasonsSeabirdrevealspelagic seabird;atlantic-ocean;north-atlantic;climate-change;tracking;dynamics;geolocation;movements;reveals;habitatResearch Articlepelagic seabirdMarine Biology010603 evolutionary biology[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentBirdsbiology.animalAnimals14. Life underwaterBiologySouthern Hemisphere[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology010604 marine biology & hydrobiologylcsh:Rbiology.organism_classificationMarine and aquatic sciencesFisheryEarth sciencesArcticPredatory BehaviorUpwellingAnimal Migrationlcsh:Q[SDE.BE]Environmental Sciences/Biodiversity and EcologyOceanic basinZoology
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Hydrology Affects Environmental and Spatial Structuring of Microalgal Metacommunities in Tropical Pacific Coast Wetlands

2016

The alternating climate between wet and dry periods has important effects on the hydrology and therefore on niche-based processes of water bodies in tropical areas. Additionally, assemblages of microorganism can show spatial patterns, in the form of a distance decay relationship due to their size or life form. We aimed to test spatial and environmental effects, modulated by a seasonal flooding climatic pattern, on the distribution of microalgae in 30 wetlands of a tropical dry forest region: the Pacific coast of Costa Rica and Nicaragua. Three surveys were conducted corresponding to the beginning, the highest peak, and the end of the hydrological year during the wet season, and species abun…

0106 biological sciencesTopographyMarine and Aquatic Scienceslcsh:MedicineWetlandNicaragua01 natural sciencesGeographical locationsFloodingTropical climateMicroalgaelcsh:ScienceMultidisciplinarygeography.geographical_feature_categoryGeographyEcologyPlantsPlanktonPlanktonGeography551.48 HidrologíaSeasonsResearch ArticleFreshwater EnvironmentsWet seasonTropical and subtropical dry broadleaf forestsCosta RicaHidrologíaAlgaePacífico tropical010603 evolutionary biologySurface WaterAnimalsRelative species abundanceHydrologyDistance decayLandformsTropical ClimatePacific Ocean010604 marine biology & hydrobiologyEcology and Environmental Scienceslcsh:ROrganismsAquatic EnvironmentsBiology and Life SciencesGeomorphologyCentral AmericaInvertebratesWetlandsPhytoplanktonNorth AmericaEarth SciencesSpatial ecologylcsh:QHydrologyPeople and places
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Seasonal and ontogenetic shifts in the diet of Arctic charr Salvelinus alpinus in a subarctic lake.

2010

Seasonal and ontogenetic shifts in the diet of Arctic charr Salvelinus alpinus were studied in a deep, ultra-oligotrophic lake in subarctic Finland from both stomach contents and the stable carbon (delta(13)C) and nitrogen (delta(15)N) isotope compositions of muscle and liver tissues. Both diet and isotope results indicated that the S. alpinus population relied mainly on littoral benthic energy sources. The strong littoral reliance appeared largely independent of season or fish size, although the data lacked small (total length, L(T),130 mm) and young (3 years) S. alpinus. Liver isotope values of intermediate-sized S. alpinus (200-350 mm), however, suggested exploitation of the increase in …

0106 biological sciencesTroutPopulationFresh WaterAquatic Science010603 evolutionary biology01 natural sciencesZooplanktonLittoral zoneAnimals14. Life underwatereducationEcology Evolution Behavior and SystematicsFinlandIsotope analysisSalvelinuseducation.field_of_studyCarbon IsotopesbiologyNitrogen IsotopesEcology010604 marine biology & hydrobiologyMusclesPelagic zonebiology.organism_classificationSubarctic climateGastrointestinal ContentsDietLiverSeasonsEnergy sourceJournal of fish biology
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Seasonal fluctuations in leaf phenolic composition under UV manipulations reflect contrasting strategies of alder and birch trees

2010

Seasonal variation in leaf phenolic composition may be important for acclimation of plants to seasonal changes in their biotic and abiotic environment. For a realistic assessment of how plants respond to solar UV-B (280-315 nm) and UV-A (315-400 nm) radiation, seasonal variation in both environment and plant responses needs to be taken into account. This also has implications for studies concerning stratospheric ozone depletion and resulting increased UV-B radiation, as other environmental variables and/or plant phenology could interact with UV radiation. To elucidate this, we established a field experiment using plastic films attenuating different parts of the solar UV spectrum. The concen…

0106 biological sciencesUltraviolet RaysPhysiologyGrowing seasonPlant ScienceAlnus01 natural sciencesAlderTrees03 medical and health sciencesPhenolsBotanyGeneticsBetula030304 developmental biologyAbiotic componentBetulaceae0303 health sciencesAlnus incanabiologyPhenologyCell BiologyGeneral MedicineBetula pubescens15. Life on landbiology.organism_classificationPlant Leaves13. Climate actionSeasons010606 plant biology & botanyWoody plantPhysiologia Plantarum
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Weak effects of geolocators on small birds: A meta-analysis controlled for phylogeny and publication bias

2020

Abstract Currently, the deployment of tracking devices is one of the most frequently used approaches to study movement ecology of birds. Recent miniaturization of light‐level geolocators enabled studying small bird species whose migratory patterns were widely unknown. However, geolocators may reduce vital rates in tagged birds and may bias obtained movement data. There is a need for a thorough assessment of the potential tag effects on small birds, as previous meta‐analyses did not evaluate unpublished data and impact of multiple life‐history traits, focused mainly on large species and the number of published studies tagging small birds has increased substantially. We quantitatively reviewe…

0106 biological sciencesZOOLOGIAFuture studiesSurvivalAnimal Ecology and PhysiologyLEG-LOOP HARNESSESTag effect01 natural sciences//purl.org/becyt/ford/1 [https]TRACKINGWINTERING AREASROUTESgeolocator GeoLight FLightR migration annual schedules precisionReturn ratePhylogenyMigrationcondition ; migration ; phenology ; reproduction ; return rate ; survival ; tracking device ; tag effectHIRUNDO-RUSTICAMatched controlReproductionGeoLightATTACHMENTgeolocationPhenologyMeta-analysis1181 Ecology evolutionary biologyMIGRATORY CONNECTIVITYSONGBIRDgeolocatorSeasonsCIENCIAS NATURALES Y EXACTASSTRATEGIEStracking methodsZoologyBiology010603 evolutionary biologyBirdsCiencias BiológicasPhylogeneticsFLightRAnimals//purl.org/becyt/ford/1.6 [https]ConditionEcology Evolution Behavior and SystematicsANNUAL CYCLETracking device010604 marine biology & hydrobiologyPlant EcologyQHPublication biasEcologíabiology.organism_classificationSongbirdGeolocationannual schedulesAnimal Science and ZoologyAnimal MigrationprecisionVital ratesPublication Bias
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Comparative host–parasite population structures: disentangling prospecting and dispersal in the black-legged kittiwake Rissa tridactyla

2005

Although much insight is to be gained through the comparison of the population genetic structures of parasites and hosts, there are, at present, few studies that take advantage of the information on vertebrate life histories available through the consideration of their parasites. Here, we examined the genetic structure of a colonial seabird, the black-legged kittiwake ( Rissa tridactyla ) using seven polymorphic microsatellite markers to make inferences about population functioning and intercolony dispersal. We sampled kittiwakes from 22 colonies across the species’ range and, at the same time, collected individuals of one of its common ectoparasites, the tick Ixodes uriae . Parasites were …

0106 biological sciences[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]Rissa tridactyla[colonial seabirds]Population DynamicsPopulationZoology[microsatellites] Ixodes uriae microsatellites010603 evolutionary biology01 natural sciencesHost-Parasite InteractionsGene flowCharadriiformes03 medical and health sciencesGeneticsAnimals[Ixodes uriae][ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT]education[host–parasite interactions]Ecology Evolution Behavior and SystematicsDemography030304 developmental biologyIsolation by distancePrincipal Component Analysis0303 health scienceseducation.field_of_studyGeographyIxodesbiology[SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]Arctic Regions[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]biology.organism_classificationIxodes uriae[ectoparasite]Genetics PopulationGenetic structureKittiwakeBiological dispersalSeasons[dispersal]Microsatellite Repeats
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Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

2020

Abstract The eddy covariance (EC) technique is used to measure the net ecosystem exchange (NEE) of CO2 between ecosystems and the atmosphere, offering a unique opportunity to study ecosystem responses to climate change. NEE is the difference between the total CO2 release due to all respiration processes (RECO), and the gross carbon uptake by photosynthesis (GPP). These two gross CO2 fluxes are derived from EC measurements by applying partitioning methods that rely on physiologically based functional relationships with a limited number of environmental drivers. However, the partitioning methods applied in the global FLUXNET network of EC observations do not account for the multiple co‐acting…

0106 biological sciencesecosystem respiration010504 meteorology & atmospheric sciencesnet ecosystem exchangeneural networkEddy covarianceClimate changeAtmospheric sciencesPhotosynthesis01 natural sciences7. Clean energyCarbon CycleAtmosphereFlux (metallurgy)FluxNetRespirationeddy covarianceEnvironmental ChemistryEcosystemPrimary Research ArticlePhotosynthesisEcosystem0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangeEcologycarbon dioxide fluxes partitioningRespirationgross primary production (GPP)Carbon DioxideBiological Sciences15. Life on landgross primary productionmachine learning13. Climate action[SDE]Environmental SciencesEnvironmental scienceNeural Networks ComputerSeasonsecosystem respiration (RECO)Environmental Sciences010606 plant biology & botanyGlobal Change 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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European catfish (Silurus glanis) as a freshwater apex predator drives ecosystem via its diet adaptability

2017

AbstractApex predators play a key role in ecosystem stability across environments but their numbers in general are decreasing. By contrast, European catfish (Silurus glanis), the European freshwater apex predator, is on the increase. However, studies concerning apex predators in freshwaters are scarce in comparison to those in terrestrial and marine ecosystems. The present study combines stomach content and stable isotope analyses with diet preferences of catfish to reveal its impact on the ecosystem since stocking. Catfish niche width is extremely wide in comparison to the typical model predator, Northern pike (Esox lucius). Catfish and pike have different individual dietary specialization…

0106 biological sciencespredatory fishes:Zoology and botany: 480 [VDP]lcsh:MedicineFresh Water01 natural sciencesPredationFood chainBiomasslcsh:ScienceCatfishesApex predatorBiomass (ecology)education.field_of_studyCarbon IsotopesMultidisciplinaryEcologyStomachvesiekosysteemitSilurus glanisAdaptation PhysiologicalSeasonsCatfishanimal structuresFood Chainfood chainsPopulationBiology010603 evolutionary biologyArticleFood PreferencesAnimalsEcosystemMarine ecosystem14. Life underwatereducation:Zoologiske og botaniske fag: 480 [VDP]ravintoketjutEcosystemaquatic ecosystemsNitrogen Isotopes010604 marine biology & hydrobiologylcsh:Rfungiapex predatorDietLakesPredatory BehaviorEsocidaelcsh:QpetokalatmonniScientific Reports
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