Search results for " model"

showing 10 items of 16868 documents

The history and future of fungi as biodiversity surrogates in forests

2017

Biodiversity surrogates are commonly used in conservation biology. Here we review how fungi have been used as such in forest conservation, emphasizing proposed surrogate roles and practical applications. We show that many fungal surrogates have been suggested based on field experience and loose concepts, rather than on rigorously collected scientific data. Yet, they have played an important role, not only in forest conservation, but also in inspiring research in fungal ecology and forest history. We argue that, even in times of ecosystem oriented conservation planning and molecular tools to analyze fungal communities, fruit bodies of macrofungi have potential as convenient conservation shor…

0106 biological sciencesBiodiversityPlant ScienceBiology010603 evolutionary biology01 natural sciencesField experienceUmbrella speciesFlagship speciesEcosystemboreal forestsEcology Evolution Behavior and SystematicsConservation planninggeographygeography.geographical_feature_categoryEcologybusiness.industryEcologyEcological ModelingEnvironmental resource managementaarniometsätOld-growth forestwood-inhabiting fungiflagship speciestemperate forestsConservation biologybusinessindikaattorilajitumbrella species010606 plant biology & botany
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Plankton Tracker: A novel integrated system to investigate the dynamic sinking behavior in phytoplankton

2020

Abstract Phytoplankton sinking is an important property that can determine community composition, affecting nutrient and light absorption in the photic zone, and influencing biogeochemical cycling via material loss to the deep ocean. To date, the difficulty in exploring the sinking processes is partly due to methodological limitations in measuring phytoplankton sinking rate. However, in the last decade, works have illustrated various methods based on some non-invasive and low perturbing approaches (laser scanner, video-microscopy, fluorescence spectroscopy). In this study, we review the methods for sinking rate estimation and describe the Plankton Tracker, a novel integrated system to inves…

0106 biological sciencesBiogeochemical cycle010603 evolutionary biology01 natural sciencesDeep seaCoscinodiscus sp.PhytoplanktonPhotic zoneVideo-microscopyEcology Evolution Behavior and SystematicsIndividual-based tracking methodEcologybiology010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingDinoflagellatePlanktonbiology.organism_classificationComputer Science ApplicationsOceanographyComputational Theory and MathematicsModeling and SimulationPhytoplanktonSinking behaviorTrajectoryEnvironmental science
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Forest responses to last-millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity.

2020

Forecasts of forest responses to climate variability are governed by climate exposure and ecosystem sensitivity, but ecosystem model projections and process representations are under-constrained by data at multidecadal and longer timescales. Here, we assess ecosystem sensitivity to centennial-scale hydroclimate variability, by comparing dendroclimatic and pollen-inferred reconstructions of drought, forest composition and biomass for the last millennium with five ecosystem model simulations. In both observations and models, spatial patterns in ecosystem responses to hydroclimate variability are strongly governed by ecosystem sensitivity rather than climate exposure. Ecosystem sensitivity was…

0106 biological sciencesBiomass (ecology)Ecology010604 marine biology & hydrobiologyClimate ChangeBiodiversityClimate changeForest changeForests010603 evolutionary biology01 natural sciencesDroughtsTreesEcosystem modelClimatologySpatial ecologyEnvironmental scienceEcosystemSensitivity (control systems)Ecology Evolution Behavior and SystematicsEcosystemEcology lettersReferences
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Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicti…

2020

Managing forests for ecosystem services and biodiversity requires accurate and spatially explicit forest inventory data. A major objective of forest management inventories is to estimate the standing timber volume for certain forest areas. In order to improve the efficiency of an inventory, field based sample-plots can be statistically combined with remote sensing data. Such models usually incorporate auxiliary variables derived from canopy height models. The inclusion of forest type variables, which quantify broadleaf and conifer volume proportions, has been shown to further improve model performance. Currently, the most common way of quantifying broadleaf and conifer forest types is by ca…

0106 biological sciencesCanopysekametsätMean squared errorForest managementBiodiversityClimate changeairborne laser scanningManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesforest type mapStatisticscanopy height modelimage-based point cloudsNature and Landscape ConservationForest inventorymetsäsuunnitteluForestryPercentage pointmetsänarviointipuutavaranmittausOrdinary least squaresordinary least squares regression modelsEnvironmental sciencemixed and heterogeneously structured forestkaukokartoitushigh-precision forest inventorymetsänhoitobest fit modelsmerchantable timber volumelaserkeilaus010606 plant biology & botanyForest Ecology and Management
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Habitat- and density-dependent demography of a colonial raptor in Mediterranean agro-ecosystems

2016

Agricultural intensification is considered the major cause of decline in farmland bird populations, especially in the Mediterranean region. Food shortage increased by the interaction between agricultural intensification and density-dependent mechanisms could influence the population dynamics of colonial birds.Weused demographic data on lesser kestrels (Falco naumanni), a key species of Mediterranean pseudo-steppes, to understand the importance of land-use changes and density-dependent mechanisms in the light of its fluctuating conservation status in the Western Palearctic. Our analysis indicated an important influence of land uses (artichokes, arable and grassland fields) and colony size on…

0106 biological sciencesCapture-recapture modelsPopulationSettore BIO/05 - ZoologiaKestrel010603 evolutionary biology01 natural sciences010605 ornithologyLesser kestrelColony sizePopulation growthAgricultural intensification Capture–recapture model Colony size Farmland birds Land-use Lesser kestreleducationLand-useAgricultural intensificationEcology Evolution Behavior and SystematicsNature and Landscape ConservationFarmland birdseducation.field_of_studybiologyAgricultural intensificationEcologyFalco naumanniCapture–recapture modelbiology.organism_classificationFecundityCapture-recapture modelHabitatConservation statusArable landFarmland birdDemographyBiological Conservation
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The Impact of Variations in the Climate on Seasonal Dynamics of Phytoplankton

2009

Phytoplankton, an assemblage of suspended, primarily autotrophic single cells and colonies, forms part of the base of the pelagic food chain in lakes. The responses of phytoplankton to anthropogenic pressures frequently provide the most visible indication of a long-term change in water quality. Several attributes related to the growth and composition of phytoplankton, such as their community structure, abundance as well as the frequency and the intensity of blooms, are included as indicators of water quality in the Water Framework Directive. The growth and seasonal succession of phytoplankton is regulated by a variety of external as well as internal factors (Reynolds et al., 1993; Reynolds,…

0106 biological sciencesCatchment ModellingClimate Change010604 marine biology & hydrobiologyCommunity structureClimate changePelagic zoneLake Modelling15. Life on landSpring bloom010603 evolutionary biology01 natural sciences6. Clean waterFood chainOceanographyWater column13. Climate actionddc:570Water QualityClimatologyPhytoplanktonEnvironmental science14. Life underwaterWater quality
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Assessing sampling coverage of species distribution in biodiversity databases

2019

Abstract Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as bac…

0106 biological sciencesChorological Database Halle (CDH)Range (biology)multi-scale[SDE.MCG]Environmental Sciences/Global Changesvegetation-plot databasesSpecies distributionPlant Science[SDV.BID]Life Sciences [q-bio]/Biodiversitycomputer.software_genre010603 evolutionary biology01 natural sciencesmacro-ecology333: Bodenwirtschaft und Ressourcen577: ÖkologieRealized niche widthMacroecologyEcological niche[SDV.EE]Life Sciences [q-bio]/Ecology environmentspatial scaleEcologyDatabaseNull modelvegetation plot databasesclimatic nichevascular plantSampling (statistics)species rangeVegetation15. Life on landDynamic Match Coefficient (DMC)sampling biasGeographyrealized niche1181 Ecology evolutionary biologymacroecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change

2021

Species interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether predictions on arctic arthropod response to climate change can be improved by accounting for species interactions. For this, we use a 14-year-long, weekly time series from Greenland, resolved to the species level by mitogenome mapping. During the study period, temperature increased by 2 degrees C and arthropod species richness halved. We show that with abiotic variables alone, we are essentially un…

0106 biological sciencesClimate ResearchArthropodaBiodiversityClimate changeAccounting010603 evolutionary biology01 natural sciencesArcticniveljalkaisetTrophic cascade1172 Environmental sciencesEcology Evolution Behavior and SystematicsTrophic levelAbiotic componentarktinen alueEcologyfood webEcologybusiness.industry010604 marine biology & hydrobiologyeliöyhteisötilmastonmuutokset15. Life on landFood webjoint species distribution modelbiodiversiteettitrophic cascadeclimate changeGeographyArctic13. Climate actioncommunity assemblySpecies richnessbusinessravintoverkotEcography
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gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models inr

2019

The work of J.N. was supported by the Wihuri Foundation. The work of S.T. was supported by the CRoNoS COST Action IC1408.F.K.C.H. was also supported by an ANU cross disciplinary grant.

0106 biological sciencesClustering high-dimensional dataMultivariate statisticsMultivariate analysisCross disciplinary010604 marine biology & hydrobiologyEcological ModelingMaximum likelihoodLatent variable010603 evolutionary biology01 natural sciencesAbundance (ecology)StatisticsCost actionEcology Evolution Behavior and SystematicsMathematicsMethods in Ecology and Evolution
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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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