Search results for " US"

showing 10 items of 8047 documents

Context-dependent coloration of prey and predator decision making in contrasting light environments

2022

A big question in behavioral ecology is what drives diversity of color signals. One possible explanation is that environmental conditions, such as light environment, may alter visual signaling of prey, which could affect predator decision-making. Here, we tested the context-dependent predator selection on prey coloration. In the first experiment, we tested detectability of artificial visual stimuli to blue tits (Cyanistes caeruleus) by manipulating stimulus luminance and chromatic context of the background. We expected the presence of the chromatic context to facilitate faster target detection. As expected, blue tits found targets on chromatic yellow background faster than on achromatic gre…

0106 biological sciencescognitionvaroitusväriRECEIVER PSYCHOLOGYAVOIDANCEContext (language use)Biologypsychology010603 evolutionary biology01 natural scienceseläinten käyttäytyminentäpläsiilikäsPredation03 medical and health sciencesreceptor-noise-limited modelPredatorsinitiainenEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesSENSORY DRIVEEcologybehaviorMOTH15. Life on landLUMINANCEnäköPOLYMORPHISMsaalistusVISIONBIRDcolor vision1181 Ecology evolutionary biologyAnimal Science and ZoologyWARNING SIGNALSsignal
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Land-use and climate related drivers of change in the reindeer management system in Finland: geography of perceptions

2021

Drivers of change in the reindeer management system are rather well-known. But when developing the gover-nance to support the traditional livelihoods, it is crucial to understand also practitioner perceptions. Systematic research on these is lacking. We analyzed the land-use and climate related drivers within the reindeer man-agement area (RMA) in Finland, and, using a perception geography approach, studied the herder perceptions towards these. We conducted an on-site questionnaire survey with herders from 51 herding districts. Factors directly affecting the welfare of reindeer were perceived as crucial by herders, for example basal icing affecting the forage availability, and land-use rela…

0106 biological sciencescumulative effects010504 meteorology & atmospheric sciencesGeography Planning and Developmentmaankäyttöporotalous01 natural sciencesHUSBANDRYporonhoitoPUBLIC-PARTICIPATION GISClimate changeHerdingreindeer husbandrySEMI-DOMESTICATED REINDEERGeneral Environmental Science2. Zero hungerCumulative effectsQuestionnaireForestryGOVERNANCELivelihoodNatural resource010601 ecologyclimate changeGeographyTourism Leisure and Hospitality ManagementManagement systemIMPACTS1171 GeosciencesWINTER PASTURESClimate changeEnvironmental planning1172 Environmental sciences0105 earth and related environmental sciencesCumulative effectsLand usePractitioner knowledgeland useilmastonmuutokset15. Life on landNorthern FennoscandiaNorthern fennoscandiaporonhoitoalueetINFRASTRUCTURE DEVELOPMENTRANGIFER-TARANDUS-TARANDUSSNOWLand usepractitioner knowledgeWILD REINDEERReindeer husbandry
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2018

The Atlantic surfclam (Spisula solidissima) is a commercially important species in North American waters, undergoing biological and ecological shifts. These are attributed, in part, to environmental modifications in its habitat and driven by climate change. Investigation of shell growth patterns, trace elements, and isotopic compositions require an examination of growth lines and increments preserved in biogenic carbonates. However, growth pattern analysis of S. solidissima is challenging due to multiple disturbance lines caused by environmental stress, erosion in umbonal shell regions, and constraints related to sample size and preparation techniques. The present study proposes an alternat…

0106 biological scienceseducation.field_of_studyMultidisciplinary010504 meteorology & atmospheric sciencesbiologyRange (biology)010604 marine biology & hydrobiologyPopulationShell (structure)Context (language use)Bivalviabiology.organism_classification01 natural sciencesOceanography13. Climate action14. Life underwaterGrowth rateeducationSpisulaGeology0105 earth and related environmental sciencesIsotope analysisPLOS ONE
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Sex pheromones and trail-following pheromone in the basal termites Zootermopsis nevadensis (Hagen) and Z. angusticollis (Hagen) (Isoptera: Termopsida…

2010

In the context of an evolutionary study of the chemical communication in termites, sex pheromones and trail-following pheromones were investigated in two Termopsidae, Zootermopsis nevadensis and Z. angusticollis. In these species, in which the presence of sex-specific pheromones has been demonstrated previously, the chemical structure of the female sex pheromone has now been identified as (5E)-2,6,10-trimethylundeca-5,9-dienal and the male sex pheromone as (+)- or (-)-syn-4,6-dimethyldodecanal. The amount of sex pheromone was estimated at 5-10 ng per individual in females and 2-5 ng in males. Because these two sympatric species do not differ in their pheromonal chemical composition, reprodu…

0106 biological sciencesfood.ingredientbiologyEcologyZootermopsisTermopsidaeZoologyKalotermitidaeContext (language use)biology.organism_classification010603 evolutionary biology01 natural sciencesZootermopsis nevadensis010602 entomologyfoodMastotermes darwiniensisSex pheromonePheromoneEcology Evolution Behavior and SystematicsBiological Journal of the Linnean Society
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Discriminating uniparental and biparental breeding strategies by monitoring nest temperature

2017

10 pages; International audience; Birds exhibit a wide diversity of breeding strategies. During incubation or chick-rearing, parental care can be either uniparental, by either the male or the female, or biparental. Understanding the selective pressures that drive these different strategies represents an exciting challenge for ecologists. In this context, assigning the type of parental care at the nest (e.g. biparental or uniparental incubation strategy) is often a prerequisite to answering questions in evolutionary ecology. The aim of this study was to produce a standardized method unequivocally to assign an incubation strategy to any Sanderling Calidris alba nest found in the field by moni…

0106 biological sciencesfood.ingredientnest temperatureparental careZoologynest attendanceshorebirdsContext (language use)Biology010603 evolutionary biology01 natural sciences010605 ornithologyPredationfooddiscriminant functionNestarctic[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisIncubationEcology Evolution Behavior and SystematicsCalidris alba[ SDE.BE ] Environmental Sciences/Biodiversity and EcologythermologgerEcologyincubation strategyincubation behaviourincubationSanderlingCalidrisincubation systemAnimal Science and ZoologyEvolutionary ecology[SDE.BE]Environmental Sciences/Biodiversity and EcologyPaternal care[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/SymbiosisIbis
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Land Cover Trade-offs in Small Oceanic Islands: A Temporal Analysis of Pico Island, Azores

2017

Livestock production has been highly relevant in the Azores, boosted by European agricultural policies, increasing the demand for pasture and competing for space with other land uses. Therefore, it is important to understand the spatial evolution of pasture and related LULC trade-offs. This study describes a GIS-based LULC change detection approach to identify, map and assess pasture-related land use changes and respective trade-offs in Pico Island in the period between 1998 and 2013 (15 years). Pasture in 1998 occupied a total area of 17131 ha (about 39% of Pico Island surface), while in 2013 this same area was of 17621 ha (about 40% of Pico Island surface). During this period, about 16316…

0106 biological sciencesgeography.geographical_feature_category010504 meteorology & atmospheric sciencesLand usebusiness.industryEcologyElevationBiodiversitySoil ScienceForestryLand coverDevelopment010603 evolutionary biology01 natural sciencesPastureGeographyAgriculturePeriod (geology)Environmental ChemistryLivestockbusiness0105 earth and related environmental sciencesGeneral Environmental ScienceLand Degradation & Development
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Spatio-temporal analyses of local biodiversity hotspots reveal the importance of historical land-use dynamics

2017

Woodland key habitats (WKHs) form a network of local biodiversity hotspots in human-dominated landscapes of northern Europe. They have been designated based on the presence of old-growth species and structures, and are considered to indicate long-term forest cover. To test whether WKHs do particularly occur in continuous forest land and to explore the scale dependence of relationships between WKH presence and their historical and environmental properties, we analysed them at five spatial scales (from stand to landscape: 80–2500 m) and referring to four reference years (1790, 1860, 1910, and 2010) using univariate and multivariate analyses. We upscaled the georeferenced data using a moving w…

0106 biological sciencesgeography.geographical_feature_categoryEcologyLand useEcology010604 marine biology & hydrobiologyCultural landscapeBiodiversityWetlandWoodland010603 evolutionary biology01 natural sciencesBiodiversity hotspotGeographyHabitatAfforestationEcology Evolution Behavior and SystematicsNature and Landscape ConservationBiodiversity and Conservation
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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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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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