Search results for "Ordination"

showing 10 items of 1367 documents

Do environmental diversity approaches lead to improved site selection? A comparison with the multi-species approach

2008

This paper suggests a new approach to select conservation areas cost-effectively according to the concept of complementarity and representation of focal natural features. The suggested environmental diversity (ED) site selection model maximizes ecological diversity, measured via ordination of the chosen taxa communities. Given their fundamental role in ecosystem functioning, vascular plants are chosen as the indicator taxa. We test the ED indicator model by contrasting it to the conventional site selection indicator (MS model), which maximizes the representation of species number in the indicator taxa. We demonstrate that the ED model is more cost-effective than the MS model. More important…

0106 biological sciences010504 meteorology & atmospheric sciencesEcologyRange (biology)Computer scienceCost effectivenessHabitat conservationBiodiversitySite selectionForestry15. Life on landManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesOrdinationEcosystem diversitySelection (genetic algorithm)0105 earth and related environmental sciencesNature and Landscape ConservationForest Ecology and Management
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Model‐based approaches to unconstrained ordination

2014

Summary Unconstrained ordination is commonly used in ecology to visualize multivariate data, in particular, to visualize the main trends between different sites in terms of their species composition or relative abundance. Methods of unconstrained ordination currently used, such as non-metric multidimensional scaling, are algorithm-based techniques developed and implemented without directly accommodating the statistical properties of the data at hand. Failure to account for these key data properties can lead to misleading results. A model-based approach to unconstrained ordination can address this issue, and in this study, two types of models for ordination are proposed based on finite mixtu…

0106 biological sciencesComputer science010604 marine biology & hydrobiologyEcological ModelingModel selectionLatent variableMixture modelcomputer.software_genre010603 evolutionary biology01 natural sciencesData typeStatistical inferenceOrdinationMultidimensional scalingData miningLatent variable modelcomputerEcology Evolution Behavior and SystematicsMethods in Ecology and Evolution
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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
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Classification of European and Mediterranean coastal dune vegetation

2018

Aims: Although many phytosociological studies have provided detailed local and regional descriptions of coastal dune vegetation, a unified classification of this vegetation in Europe and the Mediterranean Basin has been missing. Our aim is to produce a formalized classification of this vegetation and to identify the main factors driving its plant species composition at a continental scale. LocationAtlantic and Baltic coasts of Europe, Mediterranean Basin and the Black Sea region. - Methods: We compiled a database of 30,759 plots of coastal vegetation, which were resampled to reduce unbalanced sampling effort, obtaining a data set of 11,769 plots. We classified these plots with TWINSPAN, int…

0106 biological sciencesMediterranean climateAmmophileteaVegetation classificationphytosociologyBos- en LandschapsecologiePlant Ecology and Nature ConservationManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMediterranean BasinSand dune stabilizationHonckenyo-ElymeteaKoelerio-Corynephoretea canescentisForest and Landscape Ecology14. Life underwaterExpert systemVegetatiebiogeographyvegetation classificationNature and Landscape Conservationexpert systemSand duneVegetationEcologyPhytosociologyVegetation classificationSpecies diversityVegetation15. Life on landPE&RCKoelerio-Corynephoretea canescentiBiogeographySettore BIO/03 - Botanica Ambientale E ApplicataPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieOrdinationVegetation Forest and Landscape EcologyPhysical geographysand dunePhytosociology010606 plant biology & botany
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Sampling effort and information quality provided by rare and common species in estimating assemblage structure

2020

Made available in DSpace on 2020-12-12T01:06:11Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-03-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Academy of Finland Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Reliable biological assessments are essential to answer ecological and management questions but require well-designed studies and representative sample sizes. However, large sampling effort is rarely possible, because it demands large financial resources and time, restricting the number of sites sampled, the duration of the study and the sampling effort at each site. In…

0106 biological sciencesMultivariate statisticsRare speciesDIVERSITYGeneral Decision SciencesSUFFICIENTContext (language use)MACROINVERTEBRATE010501 environmental sciences010603 evolutionary biology01 natural sciencesProcrustesCommon speciesAbundance (ecology)EXCLUSIONStatisticsCommunity ecologyEcology Evolution Behavior and SystematicsMinimal sampling effort0105 earth and related environmental sciencesMathematicsEcologyStream insectsSampling (statistics)15. Life on landENVIRONMENTAL HETEROGENEITYCOMMUNITYBiological diversitySTREAM1181 Ecology evolutionary biologyBIODIVERSITYABUNDANCEOrdinationProcrustes analysisRICHNESS PATTERNSEcological Indicators
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Variational Approximations for Generalized Linear Latent Variable Models

2017

Generalized linear latent variable models (GLLVMs) are a powerful class of models for understanding the relationships among multiple, correlated responses. Estimation, however, presents a major challenge, as the marginal likelihood does not possess a closed form for nonnormal responses. We propose a variational approximation (VA) method for estimating GLLVMs. For the common cases of binary, ordinal, and overdispersed count data, we derive fully closed-form approximations to the marginal log-likelihood function in each case. Compared to other methods such as the expectation-maximization algorithm, estimation using VA is fast and straightforward to implement. Predictions of the latent variabl…

0106 biological sciencesStatistics and ProbabilityMathematical optimizationBinary numberfactor analysisLatent variableordination010603 evolutionary biology01 natural sciences010104 statistics & probabilityItem response theoryDiscrete Mathematics and CombinatoricsApplied mathematicslatent trait0101 mathematicsLatent variable modelMathematicsta112item response theoryFunction (mathematics)Latent class modelMarginal likelihoodfaktorianalyysipappisvihkimysmultivariate analysisvariational approximationStatistics Probability and UncertaintyCount data
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The flourishing diversity of models in theoretical morphology: from current practices to future macroevolutionary and bioenvironmental challenges.

2008

17 pages; International audience; For decades, theoretical morphological studies of different groups of organisms have been successfully pursued in biological, paleontological, and computational contexts, often with distinct modeling approaches and research questions. A regular influx of new perspectives and varied expertise has contributed to the emergence of a veritable multidisciplinary outlook for theoretical morphology. The broadening of this discipline is reflected in a substantial increase in the number of models, leading to a bewildering diversity that has yet to be scrutinized. In this work, we tackle this issue in a synthetic fashion, with a quantitativemeta-analysis that allows a…

0106 biological sciencesTypology010506 paleontologymedia_common.quotation_subjectAnalogy010603 evolutionary biology01 natural sciencesMultidisciplinary approachSimilarity (psychology)[SDV.BID.EVO] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]SociologySocial scienceEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_common[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/PaleontologyEcologyScope (project management)Flourishing[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]PaleontologyData science[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Ordination[SDU.STU.PG] Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeneral Agricultural and Biological Sciences[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyDiversity (politics)
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Do plant-based biogeographical regions shape aphyllophoroid fungal communities in Europe?

2018

Aim: Aphyllophoroid fungi are associated with plants, either using plants as a resource (as parasites or decomposers) or as symbionts (as mycorrhizal partners). In spite of their strong association with plants, it is unknown how much plant distributions determine their biogeographical patterns compared with environmental factors such as climate and human land use. In this study, our aims are to (1) describe the spatial diversity patterns of aphyllophoroid fungi in Europe and (2) identify the factors shaping these patterns. Location: Europe, as well as the adjacent Subarctic to Arctic islands (Greenland, Faroe Islands, Iceland, Svalbard), Palestine and the south-east coast of the Caspian Sea…

0106 biological sciencesVascular plantBeta diversitynestednessCONSERVATIONBeta diversityBiodiversitycommunity dissimilarityspecies turnover010603 evolutionary biology01 natural sciencessouthmacrofungispecies richness1183 Plant biology microbiology virologyEcology Evolution Behavior and Systematics2. Zero hungerEcologybiologyEcologyWOOD-INHABITING FUNGISettore BIO/02 - Botanica SistematicaCOMPONENTSSpecies diversity15. Life on landnorthbiology.organism_classificationEVOLUTIONARY HISTORIESSubarctic climateCLIMATEGeographyTEMPERATE FORESTSPATTERNSNestednessta1181BIODIVERSITYOrdinationSpecies richnessBRYOPHYTES010606 plant biology & botany
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Formalized classification of European fen vegetation at the alliance level

2017

AimsPhytosociological classification of fen vegetation (Scheuchzerio palustris-Caricetea fuscae class) differs among European countries. Here we propose a unified vegetation classification of European fens at the alliance level, provide unequivocal assignment rules for individual vegetation plots, identify diagnostic species of fen alliances, and map their distribution.LocationEurope, western Siberia and SE Greenland.Methods29 049 vegetation-plot records of fens were selected from databases using a list of specialist fen species. Formal definitions of alliances were created using the presence, absence and abundance of Cocktail-based species groups and indicator species. DCA visualized the s…

0106 biological sciencesVegetation classificationBos- en LandschapsecologieWetlandManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesSupervised vegetation classificationVegetation plotsForest and Landscape EcologyVegetatieNature and Landscape Conservationgeographygeography.geographical_feature_categoryVegetationBiogeography ; Ecological gradients ; Endangered habitats ; Mires ; Releves ; Supervised vegetation classification ; Unsupervised vegetation classification ; Vegetation plots ; WetlandsEcologyChemistryEcologyMiresRelevésSpecies diversityUnsupervised vegetation classificationVegetation15. Life on landPE&RCEndangered habitatsBorealBiogeographyIndicator speciesWetlandsEcological gradientsOrdinationVegetatie Bos- en LandschapsecologieSpecies richnessVegetation Forest and Landscape Ecology010606 plant biology & botany
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Identification of weed community traits response to conservation agriculture

2013

International audience; Conservation agriculture is designed to deliver more sustainable cropping systems by preserving agricultural soils with tillage abandonment. However, knowledge on the impacts of Conservation agriculture adoption on weed infestation level and potential shifts in the composition of weed communities appears low and contradictory. We used a trait-based approach to investigate whether there are shifts in values of a set of traits within weed communities following the adoption of Direct Drilling with cover-crop (DD) which is one of the Conservation Agriculture practices. Weed surveys were conducted across a range of times since conversion to DD in 52 winter wheat fields lo…

0106 biological sciencesno-tillConservation agriculture[SDV]Life Sciences [q-bio]RLQ01 natural sciences[SHS]Humanities and Social SciencesNo-till farming[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyfunctional traits2. Zero hungerEcology[ SDV ] Life Sciences [q-bio]business.industryAgroforestry04 agricultural and veterinary sciences15. Life on land[SDV] Life Sciences [q-bio]Tillagearable weedsGeographyconservation agricultureAgronomyAgriculture[SDE]Environmental Sciences040103 agronomy & agricultureTrait0401 agriculture forestry and fisheriesAnimal Science and ZoologyOrdinationbusinessWeedAgronomy and Crop ScienceCropping010606 plant biology & botany
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