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showing 10 items of 4660 documents

Plant functional and taxonomic diversity in European grasslands along climatic gradients

2021

Aim European grassland communities are highly diverse, but patterns and drivers of their continental-scale diversity remain elusive. This study analyses taxonomic and functional richness in European grasslands along continental-scale temperature and precipitation gradients. Location Europe. Methods We quantified functional and taxonomic richness of 55,748 vegetation plots. Six plant traits, related to resource acquisition and conservation, were analysed to describe plant community functional composition. Using a null-model approach we derived functional richness effect sizes that indicate higher or lower diversity than expected given the taxonomic richness. We assessed the variation in abso…

0106 biological sciencesgrassland diversity333.7: Landflächen Naturerholungsgebieteenvironmental filtering favourability hypothesis functional richness grassland diversity limiting similarity null model plant trait diversity precipitation gradient seasonality taxonomic richness temperature gradient trait-environment relationshippragmatic approachBiodiversitylimiting similarityEnvironmental filtering; Favourability hypothesis; Functional richness; Grassland diversity; Limiting similarity; Null model; Plant trait diversity; Precipitation gradient; Seasonality; Taxonomic richness; Temperature gradient; Trait‐environment relationshipPlant Scienceprecipitation gradient01 natural sciencesGrasslandtaxonomic richnesstrait-environmentspecies richnessfavourability hypothesisbiodiversity2. Zero hungermechanismsgeography.geographical_feature_categoryEcologyEcologyseasonalitynull modelassembly rulesVegetation580: Pflanzen (Botanik)communityAssembly rulestrait convergence010603 evolutionary biologytemperature gradientLimiting similaritymedicineTrait‐environment relationshipgeographyfunctional richnessAquatic EcologyPlant communityenvironmental filtering15. Life on landSeasonalitymedicine.diseasetrait-environment relationshipEnvironmental scienceSpecies richnessdivergenceEnvironmental Sciencesplant trait diversity010606 plant biology & botany
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Lichen communities on Populus   tremula are affected by the density of Picea   abies

2021

Questions Aspen (Populus tremula) is declining in the old‐growth forests of boreal Fennoscandia. This threatens the numerous taxa that are dependent on old aspens, including many epiphytic lichens. Potential methods to aid epiphytic lichens on aspen are centered around treatments which affect the density of Norway spruce (Picea abies). In this study, we investigated how epiphytic lichen communities on aspen are affected by the variation of spruce density in the immediate vicinity of the focal aspen. Location Southern boreal forests in Finland. Methods We recorded the occurrence of lichens from 120 aspens in 12 semi‐natural forest sites. We used spruce basal area as the measure for spruce de…

0106 biological scienceshaapaBiodiversityEcological succession01 natural sciencestiheysvanhat metsätboreal forestsLichenFinlandbiodiversitysienitiededensitygeography.geographical_feature_categoryEcologybiologyjäkälätEcologyTaigaesiintyminenOld-growth forestekologiasuccessionold growth forestsboreaalinen vyöhykeEuropean aspenNorway spruceboreal zoneold-growth forestsvuorovaikutuslichen communitiesEcology (disciplines)epiphytic lichenscyanolichensinteractionManagement Monitoring Policy and Lawlichen010603 evolutionary biologyred‐listed speciessuojelualueetoccurenceSouthern FinlandPopulus tremulaNature and Landscape ConservationgeographyCommunityPicea abiesPicea abies15. Life on landbiology.organism_classificationbiodiversiteettimycologyprotected areasmetsäkuusired-listed speciescommunity ecology010606 plant biology & botanyApplied Vegetation Science
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The effect of buffer strip width and selective logging on streamside plant communities

2019

Background Riparian forests surrounding streams host high biodiversity values, but are threatened by clear-cut logging. Narrow buffer strips of about 15 m are commonly left between the stream and the clear-cut, but studies suggest that the buffer width should be at least 30 m to protect riparian plant communities. Moreover, selective logging is often allowed on the buffer strips in order to increase economic gain. We used an experiment of 43 riparian sites where buffer strip width and selective logging within the strip were manipulated and supplemented with unlogged control sites. We report the short-term changes in the community composition of vascular plants and mosses near the stream (0–…

0106 biological scienceshakkuutselective loggingBuffer striplehtisammalet01 natural sciencesTreeswoodland key habitatsWoodland key habitatsFinlandQH540-549.5General Environmental Sciencegeography.geographical_feature_categoryharsintaForest managementEcologybiologyEcologymetsänkäsittelyLoggingForestrykasvillisuusBiodiversityPlantsSelective loggingmetsiensuojeluluonnonsuojelusuojavyöhykkeetkonservointiResearch ArticleVascular plantConservation of Natural ResourcespurotConservationSTREAMS010603 evolutionary biologyBuffer (optical fiber)RiversMossesRiparian forestEcology Evolution Behavior and SystematicsRiparian zoneHydrologygeographyVascular plants010604 marine biology & hydrobiologyPlant communitybiology.organism_classificationbiodiversiteettiputkilokasvitEnvironmental scienceBMC Ecology
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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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Species co-occurrence networks of ground beetles in managed grasslands

2020

AbstractGrassland biodiversity, including traditional rural biotopes maintained by traditional agricultural practices, has become threatened worldwide. Road verges have been suggested to be complementary or compensatory habitats for species inhabiting grasslands. Species co-occurrence patterns linked with species traits can be used to separate between the different mechanisms (stochasticity, environmental filtering, biotic interactions) behind community structure. Here, we study species co-occurrence networks and underlying mechanisms of ground beetle species (Carabidae) in three different managed grassland types (meadows, pastures, road verges, n = 12 in each type) in Central Finland. We a…

0106 biological scienceslaitumetesiintyvyysBiodiversitytienpientareetkedotnurmet010603 evolutionary biology01 natural sciencesGrasslandGround beetlejoint species distribution modelsspecies traitsmaakiitäjäisetEcology Evolution Behavior and Systematicsbiodiversitygeography.geographical_feature_categoryEcologybiologyEcology010604 marine biology & hydrobiologyCommunity structureenvironmental filteringeliöyhteisötbiology.organism_classificationbiodiversiteettiGeographyHabitatAnimal ecologyThreatened speciesSpecies richnessCarabidae
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Update in unified terroir zoning methodologies

2018

International audience; The concept of terroir is based on the assumption that the quality and the typicity of an agricultural product are linked to its origin. The precise definition of an origin requires zoning. Because terroir expression in viticulture is largely driven by interactions between the vine and its natural environment, soil and climate play a key role in terroir zoning. For clarity, soil-based and climate-based zoning are presented separately in this paper. They are, however, ideally carried out simultaneously, because of the existence of multiple interactions between these terroir factors. Prior to the implementation of zoning, the objectives need to be carefully defined. Th…

0106 biological scienceslcsh:GE1-350010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceScale (chemistry)media_common.quotation_subjectGeomaticsEnvironmental resource management15. Life on land01 natural scienceslaw.inventionlawCLARITY[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyProduction (economics)Quality (business)Product (category theory)businessZoninglcsh:Environmental sciences010606 plant biology & botany0105 earth and related environmental sciencesTerroirmedia_commonE3S Web of Conferences
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Characteristics, Main Impacts, and Stewardship of Natural and Artificial Freshwater Environments: Consequences for Biodiversity Conservation

2020

International audience; In this overview (introductory article to a special issue including 14 papers), we consider all main types of natural and artificial inland freshwater habitas (fwh). For each type, we identify the main biodiversity patterns and ecological features, human impacts on the system and environmental issues, and discuss ways to use this information to improve stewardship. Examples of selected key biodiversity/ecological features (habitat type): narrow endemics, sensitive (groundwater and GDEs); crenobionts, LIHRes (springs); unidirectional flow, nutrient spiraling (streams); naturally turbid, floodplains, large-bodied species (large rivers); depth-variation in benthic commu…

0106 biological scienceslcsh:Hydraulic engineeringvaikutuksetGeography Planning and DevelopmentBiodiversityhabitatWetlandhabitaatti01 natural sciencesBiochemistryFreshwater ecosystemLeast-impaired habitat relictekosysteemitlcsh:Water supply for domestic and industrial purposeselinympäristöfreshwaterWater Science and Technologybiodiversitygeography.geographical_feature_categoryEcologyconservation6. Clean waterfoundation speciesOverexploitationHabitat[SDE]Environmental SciencesimpactluonnonsuojeluSettore BIO/07 - EcologiaBiodiversity; Conservation; Ecosystem; Foundation species; Freshwater; Habitat; Impact; Least-impaired habitat relicts; StewardshipAquatic Science010603 evolutionary biologyhoitostewardshiplcsh:TC1-97814. Life underwaterecosystemgeographylcsh:TD201-500Foundation specie010604 marine biology & hydrobiologyleast-impaired habitat relicts15. Life on landluonnon monimuotoisuusbiodiversiteettiHabitat destruction13. Climate actionThreatened speciesSettore BIO/03 - Botanica Ambientale E ApplicataFoundation speciesEnvironmental sciencemakea vesiWater
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Tracking the invasion of the red swamp crayfish Procambarus clarkii (Girard, 1852) (Decapoda Cambaridae) in Sicily: a “citizen science” approach

2017

Author(s): Faraone, Francesco Paolo; Giacalone, Gabriele; Canale, Domenica Emanuela; D'Angelo, Stefania; Favaccio, Giorgio; Garozzo, Vincenzo; Giancontieri, Giacoma Lidia; Isgro, Carmelo; Melfi, Raffaella; Morello, Bruno; Navarria, Federica; Russo, Giuseppe; Tinnirello, Viviana; Torre, Antonio; Torre, Daniele; Torre, Giancarlo; Urso, Giuseppe; Vinci, Pierluigi; Zizzo, Maria Grazia; Marrone, Federico | Abstract: The first record of the red swamp crayfish in Sicily dates back to 2003 and, since then, the species seemed to be confined to a few localities in western Sicily. A small “citizen science” project carried out from November 2016 onwards led to the creation of the “Sicilian Procambarus …

0106 biological scienceslcsh:QH1-199.5biological invasionsSettore BIO/05 - Zoologia010607 zoologyProcambarusalien speciesCitizen sciencelcsh:General. Including nature conservation geographical distribution01 natural sciencesSwampInvasive speciesRed swamp crayfishEcology Evolution Behavior and SystematicsProcambarus clarkiiGlobal and Planetary Changegeography.geographical_feature_categoryEcologybiology010604 marine biology & hydrobiologybiology.organism_classificationCrayfishlanguage.human_languageCambaridaeFisheryGeographylanguageStefaniaalien species biological invasions citizen science Procambarus clarkii.SicilianBiogeographia – The Journal of Integrative Biogeography
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Spatiotemporal Dispersal and Deposition of Fish Farm Wastes: A Model Study from Central Norway

2017

Abstract A spatially explicit coupled hydrodynamic-mass transport model system was used to simulate dispersal of particulate organic matter from Atlantic salmon (Salmo salar) farming in central Norway. Model setups of 32 m horizontal resolution were run for periods of up to 650 days for 3 sites of different oceanographic characteristics: one fjord location, one medium-exposed location influenced by fjord water and one coastal location. Records on feed used for each cage at each location were converted to feces released based on a published mass balance model. The results from the simulations were compared with scores from corresponding mandatory benthic surveys (MOM-B) of the sediment layer…

0106 biological scienceslcsh:QH1-199.5environmental effectsOcean EngineeringFjordlcsh:General. Including nature conservation geographical distributionAquatic ScienceOceanography01 natural sciencesDeposition (geology)SettlingMarine ScienceOrganic matterSalmolcsh:ScienceWater Science and Technologychemistry.chemical_classificationHydrologyGlobal and Planetary Changegeographygeography.geographical_feature_categorybiologyaquaculture effects010604 marine biology & hydrobiologySediment04 agricultural and veterinary sciencesbiology.organism_classificationFisheryfish farm wasteschemistryBenthic zonehydrodynamic modeling040102 fisheries0401 agriculture forestry and fisheriesBiological dispersalEnvironmental sciencelcsh:Qdepositional modelaquaculture dispersal model
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A multi-site study to classify semi-natural grassland types

2009

International audience; Calibration and validation of simulation models describing herbage growth or feed quality of seminatural grasslands is a complex task for agronomists without investing effort into botanical surveys. To facilitate such modelling efforts, a limited number of grassland types were identified using a functional classification of species. These grassland types were characterized by three descriptors required to model herbage growth or feed quality: the abundance-weighted mean leaf dry matter content across grass species, the relative abundance of grasses, and an estimate of species richness. We conducted a multi-site analysis over 749 grasslands from eight temperate region…

0106 biological sciencesleaf traitsRestricted maximum likelihoodManagement type01 natural sciencesGrasslandnitrogenland-use changeNutrientSemi-natural grasslandphosphorus2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environmentgeography.geographical_feature_categoryEcology04 agricultural and veterinary sciencesVegetationClassification[ SDE.MCG ] Environmental Sciences/Global ChangesFunctional traitsplant-species richnessgrowth[SDE.MCG]Environmental Sciences/Global Changespermanent pastures[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyEllenberg indicator values[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentdiversity[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsTemperate climateRelative species abundance[ SDV.BID ] Life Sciences [q-bio]/Biodiversitygeography[ SDE.BE ] Environmental Sciences/Biodiversity and EcologySimulation modelingNutrients15. Life on land[SDE.ES]Environmental Sciences/Environmental and Society[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsAgronomy040103 agronomy & agricultureresponses0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologySpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologyAgronomy and Crop Science[ SDE.ES ] Environmental Sciences/Environmental and SocietySpecies richness
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