Search results for "11"

showing 10 items of 17291 documents

Resource use of wood-inhabiting fungi in different boreal forest types

2017

Generalist species are usually widespread and abundant, and thrive in heterogeneous environments. Specialists, in turn, are generally more restricted in their range, and benefit from more stable conditions. Therefore, increasing human-induced disturbance can have more negative effects on specialist than generalist species. We assessed the specialization of 77 wood-inhabiting fungal species across seven boreal forest types and different substratum qualities. A significantly higher number of specialist species was associated with herb-rich forests and afforested fields than with managed coniferous forests and wood pastures, the number of specialists associated with natural coniferous forests …

0106 biological sciencesgeneralist speciesEnvironmental changeRange (biology)ta1172Forest managementPlant Sciencemanaged forestBiologyGeneralist and specialist species010603 evolutionary biology01 natural sciencesspecialist speciessukupuuttoon kuoleminenlajitEcology Evolution Behavior and Systematicssopeutuminenhavumetsätuhanalaiset lajiterikoistuminenEcologyEcologyEcological Modelingcoarse woody debrisTaigaympäristönsuojelu15. Life on landta4112natural forestluonnon monimuotoisuusfine woody debrisHabitatDisturbance (ecology)ta1181Coarse woody debriscorticioidssienetorvakatympäristönmuutokset010606 plant biology & botanyFungal Ecology
researchProduct

Selective incorporation of dissolved organic matter (DOM) during sea ice formation

2013

This study investigated the incorporation of DOM from seawater into >2 day-old sea ice in tanks filled with seawater alone or amended with DOM extracted from the microalga, Chlorella vulgaris. Optical properties, including chromophoric DOM (CDOM) absorption and fluorescence, as well as concentrations of dissolved organic carbon (DOC), dissolved organic nitrogen (DON), dissolved carbohydrates (dCHOs) and dissolved uronic acids (dUAs) were measured. Enrichment factors (EFs), calculated from salinity-normalized concentrations of DOM in bulk ice, brine and frost flowers relative to under-ice water, were generally >1. The enrichment factors varied for different DOM fractions: EFs were the lowest fo…

0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesChemistry010604 marine biology & hydrobiologySize-exclusion chromatographyta1171General ChemistryOceanography01 natural sciencesColored dissolved organic matterBrineEnvironmental chemistrySpectral slopeDissolved organic carbonSea iceEnvironmental ChemistrySeawaterChemical composition0105 earth and related environmental sciencesWater Science and TechnologyMarine Chemistry
researchProduct

Toward a mechanistic understanding of vulnerability to hook-and-line fishing: Boldness as the basic target of angling-induced selection

2017

In passively operated fishing gear, boldness-related behaviors should fundamentally affect the vulnerability of individual fish and thus be under fisheries selection. To test this hypothesis, we used juvenile common-garden reared carp (Cyprinus carpio) within a narrow size-range to investigate the mechanistic basis of behavioral selection caused by angling. We focused on one key personality trait (i.e., boldness), measured in groups within ponds, two morphological traits (body-shape and head-shape), and one life-history trait (juvenile growth capacity) and studied mean standardized selection gradients caused by angling. Carp behavior was highly repeatable within ponds. In the short-term, ov…

0106 biological sciencesgrowthmedia_common.quotation_subjectanglingFishingevoluutioselectionevolutionary changeBiologykasvuAffect (psychology)Fish stockeläinten käyttäytyminen010603 evolutionary biology01 natural sciencescatchabilityGeneticsJuvenileCarpEcology Evolution Behavior and SystematicsSelection (genetic algorithm)media_commonBoldnessEcologykalakannat010604 marine biology & hydrobiologyongintaOriginal Articlesbiology.organism_classificationTraitta1181Original ArticleGeneral Agricultural and Biological SciencesEvolutionary Applications
researchProduct

Ecosystem carbon response of an Arctic peatland to simulated permafrost thaw

2019

Permafrost peatlands are biogeochemical hot spots in the Arctic as they store vast amounts of carbon. Permafrost thaw could release part of these long-term immobile carbon stocks as the greenhouse gases (GHGs) carbon dioxide (CO 2 ) and methane (CH 4 ) to the atmosphere, but how much, at which time-span and as which gaseous carbon species is still highly uncertain. Here we assess the effect of permafrost thaw on GHG dynamics under different moisture and vegetation scenarios in a permafrost peatland. A novel experimental approach using intact plant–soil systems (mesocosms) allowed us to simulate permafrost thaw under near-natural conditions. We monitored GHG flux dynamics via high-resolution…

0106 biological scienceshiilidioksidiPeat010504 meteorology & atmospheric sciencesPermafrostikiroutaPermafrostAtmospheric sciences01 natural sciencesMethaneCO2 EXCHANGEclimate warmingPALSA MIREchemistry.chemical_compoundDissolved organic carbonGeneral Environmental SciencekasvihuoneilmiöGlobal and Planetary ChangeCLIMATE-CHANGEEcologyArctic Regionsmethane oxidationhiilen kiertopermafrost-carbon-feedbackPlantsmesocosmCOORGANIC-MATTERkasvihuonekaasutCH4 FLUXESgreenhouse gasNORTHERN PEATLANDSCarbon dioxideCO2MethaneOxidation-ReductionBiogeochemical cycleTUNDRA SOILSClimate Changeta1172ta1171010603 evolutionary biologymetaaniCarbon CycleGreenhouse GasesMETHANE EMISSIONSEnvironmental Chemistry0105 earth and related environmental sciencesAtmosphere15. Life on landCarbon DioxideWATER-TABLEEXTRACTION METHODArcticchemistry13. Climate actionGreenhouse gasEnvironmental science
researchProduct

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
researchProduct

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
researchProduct

Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
researchProduct

Environmental Characteristics and Anthropogenic Impact Jointly Modify Aquatic Macrophyte Species Diversity

2018

Species richness and spatial variation in community composition (i.e. beta diversity) are key measures of biodiversity. They are largely determined by natural factors, but also increasingly affected by anthropogenic factors. Thus, there is a need for a clear understanding of the human impact on species richness and beta diversity, the underlying mechanisms, and whether human-induced changes can override natural patterns. Here, we dissect the patterns of species richness, community composition and beta diversity in relation to different environmental factors as well as human impact in one framework: aquatic macrophytes in 66 boreal lakes in Eastern Finland. The lakes had been classified as h…

0106 biological scienceshuman impactbiodiversity; beta diversity; community composition; eutrophication; human impact; null models species richness; water plantsBeta diversityBiodiversityPlant Sciencelcsh:Plant culture010603 evolutionary biology01 natural scienceslcsh:SB1-1110community compositionOriginal ResearchbiodiversityCommunityEcologyrehevöityminen010604 marine biology & hydrobiologySpecies diversityluonnon monimuotoisuusbiodiversiteettiMacrophytenull models species richnesseutrophicationta1181Environmental sciencebeta diversitySpatial variabilitySpecies richnessWater qualitywater plantsvesikasvitFrontiers in Plant Science
researchProduct

Spectroscopic analysis of hot-water- and dilute-acid-extracted hardwood and softwood chips

2017

Hot-water and dilute sulfuric acid pretreatments were performed prior to chemical pulping for silver/white birch (Betula pendula/B. pubescens) and Scots pine (Pinus sylvestris) chips to determine if varying pretreatment conditions on the original wood material were detectable via attenuated total reflectance (ATR) infrared spectroscopy. Pretreatment conditions varied with respect to temperature (130 °C and 150 °C) and treatment time (from 30 min to 120 min). The effects of the pretreatments on the composition of wood chips were determined by ATR infrared spectroscopy. The spectral data were compared to those determined by common wood chemistry analyses to evaluate the suitability of ATR spe…

0106 biological scienceshydrolyysiHot TemperatureSoftwoodkemiadilute acidinfrapunatekniikka02 engineering and technologyesikäsittelychemistrycomplex mixtures01 natural sciencesATR spectroscopyAnalytical Chemistrychemistry.chemical_compoundHydrolysismassanvalmistus010608 biotechnologySpectroscopy Fourier Transform InfraredHardwoodLigninOrganic chemistrySample preparationBiomassCelluloseCelluloseautohydrolysisInstrumentationChemical compositionta116SpectroscopyHydrolysistechnology industry and agricultureSulfuric acidSulfuric Acidspretreatment021001 nanoscience & nanotechnologyinfrared technologyAtomic and Molecular Physics and OpticsRefuse Disposalchemistryliuotus0210 nano-technologyAcidspuu (luonnonmateriaalit)Nuclear chemistrywoodSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
researchProduct

Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

2021

Remote sensing methods enable detection of solar-induced chlorophyll a fluorescence. However, to unleash the full potential of this signal, intensive cross-disciplinary work is required to harmonize biophysical and ecophysiological studies. For decades, the dynamic nature of chlorophyll a fluorescence (ChlaF) has provided insight into the biophysics and ecophysiology of the light reactions of photosynthesis from the subcellular to leaf scales. Recent advances in remote sensing methods enable detection of ChlaF induced by sunlight across a range of larger scales, from using instruments mounted on towers above plant canopies to Earth-orbiting satellites. This signal is referred to as solar-in…

0106 biological sciencesklorofylliChlorophyll a010504 meteorology & atmospheric sciencesEarth scienceEcology (disciplines)Plant Scienceekofysiologia01 natural sciencesFluorescencebiofysiikkayhteyttäminenchemistry.chemical_compoundLEAFLEAVESWATERPhotosynthesisCO2 ASSIMILATIONSCOTS PINE[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentMolecular Biology0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereChlorophyll ASUN-INDUCED FLUORESCENCEfluoresenssiBiogeochemistrykasvillisuus15. Life on land11831 Plant biologyReflectivityREFLECTANCEPlant LeavesEarth system scienceddc:580RESOLUTIONchemistryPHOTOSYSTEM-I13. Climate actionRemote Sensing TechnologyEarth SciencessatelliittikuvausEnvironmental sciencekaukokartoitus010606 plant biology & botanyNature Plants
researchProduct