Search results for "Alu"

showing 10 items of 15362 documents

Degradation in landscape matrix has diverse impacts on diversity in protected areas.

2017

Introduction: A main goal of protected areas is to maintain species diversity and the integrity of biological assemblages. Intensifying land use in the matrix surrounding protected areas creates a challenge for biodiversity conservation. Earlier studies have mainly focused on taxonomic diversity within protected areas. However, functional and especially phylogenetic diversities are less studied phenomena, especially with respect to the impacts of the matrix that surrounds protected areas. Phylogenetic diversity refers to the range of evolutionary lineages, the maintenance of which ensures that future evolutionary potential is safeguarded. Functional diversity refers to the range of ecologic…

0106 biological sciencesConservation geneticsConservation BiologyBiodiversitylcsh:MedicinemaankäyttöForestsAnimal Phylogenetics01 natural scienceslcsh:ScienceSpecies diversityConservation ScienceData ManagementMultidisciplinaryEcologyEcologyEukaryotaBiodiversityrespiratory systemta4112Terrestrial EnvironmentsPhylogeneticsGeographyHabitatVertebratesConservation GeneticsConservation geneticsResearch ArticleComputer and Information SciencesConservation of Natural ResourcesEcological MetricsForest managementAnimal phylogenetics010603 evolutionary biologyEcosystemsBirdssuojelualueetGeneticsAnimalsEcosystemEvolutionary SystematicsEcosystemTaxonomyEvolutionary BiologyLand use010604 marine biology & hydrobiologyEcology and Environmental Scienceslcsh:ROrganismsSpecies diversityland useBiology and Life SciencesSpecies Diversity15. Life on landbiodiversiteettiPhylogenetic diversity13. Climate actionConservation scienceAmniotesta1181lcsh:Qprotected areasZoologyhuman activitiesPLoS ONE
researchProduct

Cost-efficiency assessments of marine monitoring methods lack rigor—a systematic mapping of literature and an end-user view on optimal cost-efficienc…

2021

Global deterioration of marine ecosystems, together with increasing pressure to use them, has created a demand for new, more efficient and cost-efficient monitoring tools that enable assessing changes in the status of marine ecosystems. However, demonstrating the cost-efficiency of a monitoring method is not straightforward as there are no generally applicable guidelines. Our study provides a systematic literature mapping of methods and criteria that have been proposed or used since the year 2000 to evaluate the cost-efficiency of marine monitoring methods. We aimed to investigate these methods but discovered that examples of actual cost-efficiency assessments in literature were rare, contr…

0106 biological sciencesCost effectivenessComputer scienceenvironmental effectsCost-efficiency analysiscostsmeriensuojeluCost of monitoringmonitorointimuutos010501 environmental scienceskäyttömarine monitoring tool01 natural sciencesympäristön tilakartoitusresearch methodsmethod performancestandardointichangestate of the environmentmerenkulkijatMonitoring methodsmappingmarinersReliability (statistics)General Environmental Scienceevaluationcost effectivenessCost efficiencyMarine monitoring toolComparabilityvesiekosysteemitGeneral MedicinetrackingPollutionkustannuksetmittausmenetelmätRisk analysis (engineering)ympäristövaikutuksetenvironmental changesCosts and Cost AnalysisecosystemsmeretEnvironmental Monitoringmethod standardizationevaluation methodsarviointimenetelmätOptimal costseasManagement Monitoring Policy and LawloppukäyttäjätArticlemethodsmenetelmättutkimusmenetelmätseurantaekologinen tila14. Life underwaterEcosystem0105 earth and related environmental sciencesEnd user010604 marine biology & hydrobiologyReproducibility of ResultskustannustehokkuusMethod standardizationecosystems (ecology)cost of monitoringTerm (time)ekosysteemit (ekologia)monitoringcost-efficiency analysiskustannus-hyötyanalyysiMethod performanceusearviointiEnvironmental Monitoring and Assessment
researchProduct

Fine‐grain beta diversity of Palaearctic grassland vegetation

2021

QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whe…

0106 biological sciencesCzechAgriculture and Food SciencesFine grainelevation333.7: Landflächen NaturerholungsgebietehabitatPlant ScienceMaster planFine-grain beta diversity01 natural sciencesScale dependenceevolutionaryRICHNESSvascular plantsHABITATMacroecologyComputingMilieux_MISCELLANEOUSmedia_commonMean occupancyProductivity2. Zero hungerdisturbance0303 health sciencesEcologySettore BIO/02 - Botanica SistematicaEnvironmental researchPalaearctic grasslanddifferentiationenvironmental heterogeneityspecies-area relationship (SAR)gradientDIFFERENTIATION580: Pflanzen (Botanik)disturbance; elevation; fine-grain beta diversity; heterogeneity; land use; macroecology; mean occupancy; Palaearctic grassland; productivity; scale dependence; species–area relationship (SAR); z-valuescale dependencelanguagemacroecologyproductivitymedia_common.quotation_subjectmean occupancyLibrary scienceSpecies–area relationship (SAR)Environmental drivers Grasslands Lichens Mosses Species-area relationship SAR Vascular Plands010603 evolutionary biologySpecies-area curve03 medical and health sciencesspecies–area relationship (SAR)ExcellencePolitical scienceGRADIENTSlovak030304 developmental biologyspatial scalefine-grain beta diversityBiology and Life Sciencesland useDisturbance15. Life on landZ-valuelanguage.human_languageENVIRONMENTAL HETEROGENEITYEarth and Environmental Sciencesz-valueElevationLand useEVOLUTIONARYSPATIAL SCALESPECIES-AREA RELATIONSHIPSVASCULAR PLANTS[SDE.BE]Environmental Sciences/Biodiversity and EcologyheterogeneityHeterogeneityrichness
researchProduct

Seasonal cycle of benthic denitrification and DNRA in the aphotic coastal zone, northern Baltic Sea

2020

Current knowledge on the seasonality of benthic nitrate reduction pathways in the aphotic, density stratified coastal zone of the Baltic Sea is largely based on data from muddy sediments, neglecting the potential contribution of sandy sediments. To gain a more comprehensive understanding of seasonality in this part of the Baltic Sea coast, we measured rates of benthic denitrification, anammox and dissimilatory nitrate reduction to ammonium (DNRA) monthly in the ice-free period of 2016 in both sandy and muddy aphotic sediments, northwestern Gulf of Finland. No anammox was observed. The seasonal cycle of denitrification in both sediment types was related to the hydrography-driven development …

0106 biological sciencesDenitrification010504 meteorology & atmospheric sciencesMARINE-SEDIMENTSFIXED-NITROGENsedimentitANAMMOX01 natural scienceswater column density stratificationCoastal zoneorganic matterNUTRIENT FLUXESEcologykausivaihtelutnitraatitWater column density stratificationOceanographyBenthic zoneOrganic matterorgaaninen ainesSeasonal cycledenitrifikaatioSandy sedimentrannikkoalueetDISSIMILATORY NITRATE REDUCTIONNutrient fluxAquatic ScienceNITRIFICATIONNitrate reduction14. Life underwaterCoastal filter1172 Environmental sciencesEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesbenthic−pelagic coupling010604 marine biology & hydrobiologyGeomorphologyISOTOPE PAIRING TECHNIQUENorthern Gulf of FinlandBenthic-pelagic couplingAMMONIUMgeomorphologysandy sedimentESTUARINE SEDIMENTNITROGEN REMOVALnitrate reductionBaltic sea13. Climate actionAphotic zonecoastal filteraineiden kiertoEnvironmental scienceNitrificationMarine Ecology Progress Series
researchProduct

Bryophyte Species Richness on Retention Aspens Recovers in Time but Community Structure Does Not

2014

Green-tree retention is a forest management method in which some living trees are left on a logged area. The aim is to offer ‘lifeboats’ to support species immediately after logging and to provide microhabitats during and after forest re-establishment. Several studies have shown immediate decline in bryophyte diversity after retention logging and thus questioned the effectiveness of this method, but longer term studies are lacking. Here we studied the epiphytic bryophytes on European aspen (Populus tremula L.) retention trees along a 30-year chronosequence. We compared the bryophyte flora of 102 ‘retention aspens’ on 14 differently aged retention sites with 102 ‘conservation aspens’ on 14 d…

0106 biological sciencesEcological Political Economy010504 meteorology & atmospheric sciencesDIVERSITYBiodiversitylcsh:MedicinePlant ScienceBryology01 natural scienceslehtisammaletMICROCLIMATIC GRADIENTSTreesbryophyte diversitysammaletAbundance (ecology)TREE RETENTIONlcsh:Science1183 Plant biology microbiology virologyConservation Scienceforest reestablishmentMultidisciplinaryEcologyEcologyLoggingmetsänkäsittelyForestryAgricultureBiodiversityFINLANDta4112metsätHabitatCommunity EcologyGROWTHResearch ArticleConservation of Natural ResourcesEPIPHYTIC BRYOPHYTESChronosequenceeducationCONSERVATIONForest managementBryophytaBiology010603 evolutionary biologyBOREAL FORESTelvytysPlant-Environment InteractionsEDGES0105 earth and related environmental sciencesPlant Ecologylcsh:REcology and Environmental SciencesBiology and Life SciencesBayes Theorem15. Life on landhakkuualueetREPRODUCTIONta1181lcsh:QBryophyteSpecies richnessmetsänhoitogreen tree retentionAgroecologyPLOS ONE
researchProduct

Perennial polypores as indicators of annual and red-listed polypores

2009

Abstract Many polypores are specialized in their requirements for substrate and environment, and they have been suggested to indicate the continuity of coarse woody debris or naturalness of a forest stand. However, the use of polypores as indicators of conservation value is restricted by the temporally limited appearance of annual fruit bodies. We studied whether the species richness of perennial polypores (perennials) can be used to predict the species richness of annual or annual red-listed polypores (annuals). Our data included 1471 separate datasets (sample plots or larger inventoried areas) in different parts of Finland and Russian Karelia, ranging from the southern to northern boreal …

0106 biological sciencesEcologyPerennial plantbiologyEcology010604 marine biology & hydrobiologyBiodiversityGeneral Decision SciencesVegetation15. Life on landbiology.organism_classification010603 evolutionary biology01 natural sciencesGeographyPolyporeIndicator speciesIndicator valueCoarse woody debrisSpecies richnessEcology Evolution Behavior and SystematicsEcological Indicators
researchProduct

A novel method to predict dark diversity using unconstrained ordination analysis

2019

[Questions] Species pools are the product of complex ecological and evolutionary mechanisms, operating over a range of spatial scales. Here, we focus on species absent from local sites but with the potential to establish within communities — known as dark diversity. Methods for estimating dark diversity are still being developed and need to be compared, as well as tested for the type, and amount, of reference data needed to calibrate these methods. [Location] South Bohemia (48°58′ N, 14°28′ E) and Železné Hory (49°52′ N, 15°34′ E), Czech Republic. [Method] We compared a widely accepted algorithm to estimate species pools (Beals smoothing index, based on species co-occurrence) against a nove…

0106 biological sciencesEcologyReference data (financial markets)Species poolCommunity structureBeals smoothing indexPlant Science010603 evolutionary biology01 natural sciencesCommunity structureEllenberg valuesUnconstrained ordinationCommon speciesDark diversityStatisticsRange (statistics)OrdinationScale (map)Nested sampling algorithmSmoothing010606 plant biology & botanyMathematics
researchProduct

Ecosystem processes are rarely included in tactical fisheries management

2015

Fish stock productivity, and thereby sensitivity to harvesting, depends on physical (e.g. ocean climate) and biological (e.g. prey availability, competition and predation) processes in the ecosystem. The combined impacts of such ecosystem processes and fisheries have lead to stock collapses across the world. While traditional fisheries management focuses on harvest rates and stock biomass, incorporating the impacts of such ecosystem processes are one of the main pillars of the ecosystem approach to fisheries management (EAFM). Although EAFM has been formally adopted widely since the 1990s, little is currently known to what extent ecosystem drivers of fish stock productivity are actually imp…

0106 biological sciencesEcosystem healthbusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementManagement Monitoring Policy and LawAquatic ScienceOceanographyFish stock010603 evolutionary biology01 natural sciencesEcosystem valuationEcosystem-based managementEcosystem servicesEcosystem managementEcosystem14. Life underwaterFisheries managementbusinessEcology Evolution Behavior and SystematicsFish and Fisheries
researchProduct

Microalgae and seaweeds for food applications: Challenges and perspectives

2016

0106 biological sciencesEngineeringConsumer Product SafetyFood HandlingMEDLINERisk Assessment01 natural sciences0404 agricultural biotechnology010608 biotechnologyMicroalgaeHumansPlant Extractsbusiness.industry04 agricultural and veterinary sciencesSeaweed040401 food scienceBiotechnologyConsumer Product SafetyDietary SupplementsFood AdditivesEngineering ethicsbusinessRisk assessmentNutritive ValueFood ScienceIntroductory Journal ArticleFood Research International
researchProduct

Light availability and land‐use history drive biodiversity and functional changes in forest herb layer communities

2020

International audience; A central challenge of today's ecological research is predicting how ecosystems will develop under future global change. Accurate predictions are complicated by (a) simultaneous effects of different drivers, such as climate change, nitrogen deposition and management changes; and (b) legacy effects from previous land use. We tested whether herb layer biodiversity (i.e. richness, Shannon diversity and evenness) and functional (i.e. herb cover, specific leaf area [SLA] and plant height) responses to environmental change drivers depended on land-use history. We used resurvey data from 192 plots across nineteen European temperate forest regions, with large spatial variabi…

0106 biological sciencesEnvironmental change[SDV]Life Sciences [q-bio]LEAF-AREADIVERSITYBiodiversitybiodiversity measuresClimate changeINDICATOR VALUESPlant Science010603 evolutionary biology01 natural sciencesforest canopy featuresBosecologie en BosbeheerPLANT-COMMUNITIES/dk/atira/pure/core/keywords/biologyEcology Evolution Behavior and Systematics2. Zero hungerForest floorLIMITATIONatmospheric depositionsEcologyEcologySPECIES RICHNESSresurveyBiology and Life SciencesTemperate forestGlobal changepost-agricultural forests15. Life on landPE&RCForest Ecology and Forest ManagementNITROGENclimate changeTEMPERATE FORESTEcosystems Research13. Climate actionEarth and Environmental SciencesEnvironmental scienceSpecies evennessVEGETATIONSpecies richnessRESPONSESfunctional signature010606 plant biology & botanyJournal of Ecology
researchProduct