Search results for "RTAI"

showing 10 items of 1960 documents

Comment on “A simple way to incorporate uncertainty and risk into forest harvest scheduling”

2017

In a recent research article, Robinson et al. (2016) described a method of estimating uncertainty of harvesting outcomes by analyzing the historical yield to the associated prediction for a large number of harvest operations. We agree with this analysis, and consider it a useful tool to integrate estimates of uncertainty into the optimization process. The authors attempt to manage the risk using two different methods, based on deterministic integer linear programming. The first method focused on maximizing the 10th quantile of the distribution of predicted volume subject to area constraint, while the second method focused on minimizing the variation of total quantity of volume harvested sub…

0106 biological sciences021103 operations researchOperations researchComputer science0211 other engineering and technologiesDownside riskScheduling (production processes)Forestry02 engineering and technologyManagement Monitoring Policy and Lawepävarmuus01 natural sciencesStochastic programmingExpected shortfallstochastic programmingConditional Value at Riskta1181Research articleuncertaintyInteger programming010606 plant biology & botanyNature and Landscape ConservationQuantileriskForest Ecology and Management
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Northern European Salmo trutta (L.) populations are genetically divergent across geographical regions and environmental gradients

2020

The salmonid fish Brown trout is iconic as a model for the application of conservation genetics to understand and manage local interspecific variation. However, there is still scant information about relationships between local and large-scale population structure, and to what extent geographical and environmental variables are associated with barriers to gene flow. We used information from 3,782 mapped SNPs developed for the present study and conducted outlier tests and gene–environment association (GEA) analyses in order to examine drivers of population structure. Analyses comprised >2,600 fish from 72 riverine populations spanning a central part of the species' distribution in norther…

0106 biological sciences0301 basic medicineConservation geneticsSELECTIONPopulationsalmonidCONSERVATIONlcsh:Evolutiongenotype‐environment association010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesbrown troutLOCAL ADAPTATIONSampling designlcsh:QH359-425GeneticsGENOME SCANS14. Life underwaterSalmoeducationEcology Evolution Behavior and SystematicsLocal adaptationGenotype‐environment associationeducation.field_of_studyCLIMATE-CHANGEbiologyBROWN TROUTSTRUCTURED POPULATIONSR-PACKAGESampling (statistics)genotype-environment associationVDP::Matematikk og Naturvitenskap: 400biology.organism_classification030104 developmental biologyEvolutionary biologyoutlier testTEMPORAL-CHANGESOutlierGeneral Agricultural and Biological SciencesASCERTAINMENT BIASlocal adaptation
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Whole genome sequencing data and de novo draft assemblies for 66 teleost species

2017

Teleost fishes comprise more than half of all vertebrate species, yet genomic data are only available for 0.2% of their diversity. Here, we present whole genome sequencing data for 66 new species of teleosts, vastly expanding the availability of genomic data for this important vertebrate group. We report on de novo assemblies based on low-coverage (9–39×) sequencing and present detailed methodology for all analyses. To facilitate further utilization of this data set, we present statistical analyses of the gene space completeness and verify the expected phylogenetic position of the sequenced genomes in a large mitogenomic context. We further present a nuclear marker set used for phylogenetic…

0106 biological sciences0301 basic medicineStatistics and ProbabilityData DescriptorComputational biologyLibrary and Information Sciences010603 evolutionary biology01 natural sciencesGenomeEducation03 medical and health sciencesbiology.animalGenome assembly algorithmsAnimalsDNA sequencingGenePhylogenyGeneticsWhole genome sequencingGenomeWhole Genome SequencingbiologyPhylogenetic treeComparative genomicsGene treeFishesRobustness (evolution)VertebrateGenomicsComputer Science ApplicationsMetadata030104 developmental biologyStatistics Probability and UncertaintyInformation SystemsScientific Data
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Traits mediate niches and co‐occurrences of forest beetles in ways that differ among bioclimatic regions

2021

Aim The aim of this study was to investigate the role of traits in beetle community assembly and test for consistency in these effects among several bioclimatic regions. We asked (1) whether traits predicted species’ responses to environmental gradients (i.e. their niches), (2) whether these same traits could predict co-occurrence patterns and (3) how consistent were niches and the role of traits among study regions. Location Boreal forests in Norway and Finland, temperate forests in Germany. Taxon Wood-living (saproxylic) beetles. Methods We compiled capture records of 468 wood-living beetle species from the three regions, along with nine morphological and ecological species traits. Eight …

0106 biological sciencesBayesian joint species distribution models (JSDMs)Species distributionMODELSDead woodClimate changeUNCERTAINTYphylogeny010603 evolutionary biology01 natural sciencesPhylogeneticsSPECIES DISTRIBUTIONDISTRIBUTIONSsaproxylic beetlesenvironmental gradientsEcology Evolution Behavior and SystematicsEcological nichekovakuoriaisetSAPROXYLIC BEETLESfylogeniaEcologyEcology010604 marine biology & hydrobiologybayesilainen menetelmäBIOTIC INTERACTIONSBayesian joint species distribution models (JSDMs); climate change; Coleoptera; ecological traits; environmental gradients; HMSC; morphological traits; phylogeny; saproxylic beetles; species associations15. Life on landilmastonmuutoksetecological traitsspecies associationsHMSCekologinen lokeroColeopteraGeographyclimate changeFUNCTIONAL TRAITS1181 Ecology evolutionary biologymorphological traitsPATTERNSDEAD-WOODympäristönmuutoksetRESPONSES
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Leaf-Level Spectral Fluorescence Measurements : Comparing Methodologies for Broadleaves and Needles

2019

Successful measurements of chlorophyll fluorescence (ChlF) spectral properties (typically in the wavelength range of 650–850 nm) across plant species, environmental conditions, and stress levels are a first step towards establishing a quantitative link between solar-induced chlorophyll fluorescence (SIF), which can only be measured at discrete ChlF spectral bands, and photosynthetic functionality. Despite its importance and significance, the various methodologies for the estimation of leaf-level ChlF spectral properties have not yet been compared, especially when applied to leaves with complex morphology, such as needles. Here we present, to the best of our knowledge, a first comparison of …

0106 biological sciencesCorrection methodMaterials science010504 meteorology & atmospheric sciencesSciencesun-induced fluorescenceAnalytical chemistryleaf morphology01 natural sciencesSpectral lineFluoWatlingonberryLEAVESChlorophyll fluorescence0105 earth and related environmental sciences4112 Forestryphotosynthesischlorophyll fluorescencesilver birchQSpectral propertiesSpectral bandsOPTICAL-PROPERTIESA FLUORESCENCECANOPY-LEVELFluorescencebaseline correctionRATIO F690/F730Integrating sphereLIGHTPHOTOSYSTEM-IPlant speciesScots pineINDUCED CHLOROPHYLL FLUORESCENCEMINIMIZING MEASUREMENT UNCERTAINTIESREVISED MEASUREMENT METHODOLOGYGeneral Earth and Planetary Sciencesbaseline correction; chlorophyll fluorescence; FluoWat; leaf morphology; lingonberry; photosynthesis; Scots pine; silver birch; sun-induced fluorescence010606 plant biology & botany
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Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences

2020

Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of interventions or impacts. Here, we empirically quantify, on a large scale, the prevalence of different study designs and the magnitude of bias in their estimates. Randomised designs and controlled observational designs with pre-intervention sampling were used by just 23% of intervention studies in biodiversity conservation, and 36% of intervention studies in social science. We demonstrate, through pairwise within-study comparisons across 49 environmental da…

0106 biological sciencesResearch designScientific communitySCIENTIFIC COMMUNITYMedio ambiente naturalsosiaalitieteetPsychological interventionGeneral Physics and AstronomySocial SciencesQH7501 natural sciencesEnvironmental impact//purl.org/becyt/ford/1 [https]010104 statistics & probability/706/648CredibilityPrevalenceSocial scienceComputingMilieux_MISCELLANEOUSGEMultidisciplinaryEcologyQarticleSampling (statistics)Biodiversitynäyttöön perustuvat käytännötsatunnaistetut vertailukokeetENVIRONMENTAL IMPACTResearch designResearch DesignScale (social sciences)[SDE]Environmental SciencesH1ScienceEnvironment010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular BiologySocial sciencesBiastutkimusmenetelmätQH541/704/172/4081Humans0101 mathematics//purl.org/becyt/ford/1.6 [https]ympäristötieteetpoliittinen päätöksentekoClinical study designmetodologia/706/689General Chemistry15. Life on landEcologíaLiteraturePairwise comparisonObservational study/631/158luotettavuusBias; Biodiversity; Ecology; Environment; Humans; Literature; Prevalence; Research Design; Social SciencesNature Communications
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Erosion of Lizard Diversity by Climate Change and Altered Thermal Niches

2010

It is predicted that climate change will cause species extinctions and distributional shifts in coming decades, but data to validate these predictions are relatively scarce. Here, we compare recent and historical surveys for 48 Mexican lizard species at 200 sites. Since 1975, 12% of local populations have gone extinct. We verified physiological models of extinction risk with observed local extinctions and extended projections worldwide. Since 1975, we estimate that 4% of local populations have gone extinct worldwide, but by 2080 local extinctions are projected to reach 39% worldwide, and species extinctions may reach 20%. Global extinction projections were validated with local extinctions o…

0106 biological sciencesSELECTIONMaleAcclimatizationPopulation DynamicsBiodiversityUNCERTAINTY01 natural sciencesGlobal WarmingBody TemperaturePhylogeny0303 health sciencesMultidisciplinarybiologyGeographyEcologyECTOTHERMSReproductionTemperatureLizardsBiodiversityEXTINCTION RISKBiological EvolutionGeographyEctothermFemaleSeasonsClimate ChangeClimate changePREDICTIONSECOLOGYExtinction Biological010603 evolutionary biologyModels Biological03 medical and health sciencesbiology.animalAnimalsEcosystemSelection GeneticPHYSIOLOGYMexicoEcosystem030304 developmental biologyEcological nicheExtinctionLizardGlobal warmingEVOLUTION13. Climate action[SDE.BE]Environmental Sciences/Biodiversity and EcologyForecasting
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A global occurrence database of the Atlantic blue crab Callinectes sapidus

2021

The Atlantic blue crab Callinectes sapidus is a portunid native to the western Atlantic, from New England to Uruguay. The species was introduced in Europe in 1901 where it has become invasive; additionally, a significant northward expansion has been emphasized in its native range. Here we present a harmonized global compilation of C. sapidus occurrences from native and non-native distribution ranges derived from online databases (GBIF, BISON, OBIS, and iNaturalist) as well as from unpublished and published sources. The dataset consists of 40,388 geo-referenced occurrences, 39,824 from native and 564 from non-native ranges, recorded in 53 countries. The implementation of quality controls imp…

0106 biological sciencesStatistics and ProbabilityData DescriptorCallinectesRange (biology)BrachyuraScienceLibrary and Information Sciencescomputer.software_genre010603 evolutionary biology01 natural sciencesEducationNew englandAnimalsMacroecologyInvasive speciesDatabasebiologyAnimal010604 marine biology & hydrobiologyQinvasive species blue crab global occurrence databaseBiodiversitybiology.organism_classificationComputer Science ApplicationsGeographyBiogeographyStatistics Probability and UncertaintyIntroduced SpeciescomputerAnimal DistributionInformation SystemsScientific Data
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Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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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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