Search results for "Sampling"

showing 10 items of 788 documents

Defaunation and biomass collapse of mammals in the largest Atlantic forest remnant

2016

Large continuous rainforests are the main hope for sustaining the population of large-bodied vertebrates that cannot cope with fragmentation or unsustainable hunting. The Brazilian Atlantic forest is considered a biodiversity hotspot and although highly fragmented, it still contains large forest patches that may be important for the conservation of mammals that require large areas. Here, we estimated species richness, density and biomass of medium- and large-sized mammals along the largest remnant of the Atlantic rainforest, Brazil (the Serra do Mar bioregion), an estimated area of 8000 km2. We recorded 44 species based on 4090 km of diurnal line transects and camera traps, animal tracks an…

0106 biological sciencesSettore BIO/07 - EcologiaSettore AGR/05 - Assestamento Forestale E SelvicolturaDefaunationExtinction riskPopulationSettore BIO/05 - ZoologiaRainforestBiology010603 evolutionary biology01 natural sciencesDistance samplingHuntingeducationNature and Landscape Conservationeducation.field_of_studyBiomass (ecology)Brazilian Atlantic forestDistance samplingEcologyEcology010604 marine biology & hydrobiologyProtected areaLine-transect methodBiodiversity hotspotProtected areasMammalian communitieDefaunationBiological dispersalSpecies richnessMammalian communities
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The effect of random and density‐dependent variation in sampling efficiency on variance of abundance estimates from fishery surveys

2019

Abundance indices (AIs) provide information on population abundance and trends over time, while AI variance (AIV) provides information on reliability or quality of the AI. AIV is an important output from surveys and is commonly used in formal assessments of survey quality, in survey comparison studies, and in stock assessments. However, uncertainty in AIV estimates is poorly understood and studies on the precision and bias in survey AIV estimates are lacking. Typically, AIV estimates are “design based” and are derived from sampling theory under some aspect of randomized samples. Inference on population density in these cases can be confounded by unaccounted process errors such as those due …

0106 biological sciencesStock assessmentSampling efficiency010604 marine biology & hydrobiologyVariance (accounting)Management Monitoring Policy and LawAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesPopulation abundanceAbundance (ecology)Density dependentStatisticsSurvey qualityEcology Evolution Behavior and SystematicsReliability (statistics)MathematicsFish and Fisheries
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Importance of meteorological variables for aeroplankton dispersal in an urban environment

2016

Passive wind dispersal is one of the major mechanisms through which organisms disperse and colonize new areas. The detailed comprehension of which factors affect this process may help to preserve its efficiency for years to come. This is especially important in the current context of climate change, which may seriously alter weather regimes that drive dispersal, and is crucial in urban contexts, where biodiversity is dramatically threatened by pollution and fragmentation of natural patches. Despite its interest, the analysis of factors affecting aeroplankton dispersal in urban environments is rare in literature. We sampled aeroplankton community uninterruptedly every 4 hours from 17th May t…

0106 biological sciencesSuction trapAeroplanktonbiologyEcologyJohnson-Taylor suction trap aeroplankton arthropods passive transport meteorological variablesSampling (statistics)ORDER HYMENOPTERAbiology.organism_classification010603 evolutionary biology01 natural sciences010602 entomologySettore AGR/11 - Entomologia Generale E ApplicataBiological dispersalAnimal Science and ZoologyAgaonidaeUrban environment
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Null models for animal social network analysis and data collected via focal sampling: Pre‐network or node network permutation?

2020

In social networks analysis, two different approaches have predominated in creating null models for hypothesis testing, namely pre‐network and node network permutation approaches. Although the pre‐network permutation approach appears more advantageous, its use has mainly been restricted to data on associations and sampling methods such as ‘group follows’. The pre‐network permutation approach has recently been adapted to data on interactions and the focal sampling method, but its performance in different scenarios has not been thoroughly explored. Here, we assessed the performance of the pre‐network and node network permutation approach in several simulated scenarios based on proneness to fa…

0106 biological sciencesTheoretical computer scienceComputer scienceEcological Modeling05 social sciencesNull (mathematics)Social network analysis (criminology)Sampling (statistics)Group living010603 evolutionary biology01 natural sciences[SHS]Humanities and Social SciencesPermutationSciences du Vivant [q-bio]/Autre [q-bio.OT]0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230
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The "Tracked Roaming Transect" and distance sampling methods increase the efficiency of underwater visual censuses.

2018

Underwater visual census (UVC) is the most common approach for estimating diversity, abundance and size of reef fishes in shallow and clear waters. Abundance estimation through UVC is particularly problematic in species occurring at low densities and/or highly aggregated because of their high variability at both spatial and temporal scales. The statistical power of experiments involving UVC techniques may be increased by augmenting the number of replicates or the area surveyed. In this work we present and test the efficiency of an UVC method based on diver towed GPS, the Tracked Roaming Transect (TRT), designed to maximize transect length (and thus the surveyed area) with respect to diving …

0106 biological sciencesTopographyMarine and Aquatic Scienceslcsh:Medicine01 natural sciences//purl.org/becyt/ford/1 [https]Abundance (ecology)StatisticsRange (statistics)Marine Fishlcsh:ScienceIslandsAbundance estimationMultidisciplinaryDistance samplingUnderwater visual censusesAnimal BehaviorEcologyCoral ReefsGeographic Information SystemFishesEukaryotaEstimatorBiodiversityResearch DesignVertebratesEngineering and TechnologyCoral ReefCIENCIAS NATURALES Y EXACTASHumanResearch ArticleEnvironmental MonitoringCensusAccuracy and precisionFish BiologyField experimentEquipmentMarine BiologyResearch and Analysis Methods010603 evolutionary biologyCiencias BiológicasFish PhysiologyAnimal PhysiologyAnimalsHumans14. Life underwater//purl.org/becyt/ford/1.6 [https]TransectVision OcularBehaviorLandformsSurvey ResearchAnimal010604 marine biology & hydrobiologyEcology and Environmental Scienceslcsh:ROrganismsBiology and Life SciencesGeomorphologyEcologíaVertebrate PhysiologyTracked roaming transectFishEarth SciencesReefsGeographic Information SystemsEnvironmental sciencelcsh:QZoologyFishePLoS ONE
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Global endemics-area relationships of vascular plants

2019

Endemics–Area Relationships (EARs)are fundamental in theoretical and applied biogeography for understanding distribution patterns and promoting biodiversity conservation. However, calculating EARs for vascular plant species from existing data is problematic because of biased knowledge of endemic species distributions and differences between taxonomies. We aimed to overcome these challenges by developing a new standardized global dataset based on expert knowledge to produce a set of global EARs. We developed a nested circle design, with grain sizes of 10 4 , 10 5 , 10 6 , 10 7 , and 10 8 km 2 , respectively, and a global distribution of plots based on a stratified random scheme. The number …

0106 biological sciencesVascular plantZero-endemic plotslcsh:QH1-199.5Range (biology)Biogeographylcsh:General. Including nature conservation geographical distributionManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesMinimum and maximum estimatelcsh:QH540-549.5StatisticsEndemismZero-endemic plotNature and Landscape ConservationEstimationbiologyEcology010604 marine biology & hydrobiologySampling (statistics)Minimum and maximum estimatesbiology.organism_classificationGeographyGlobal referenceExpert knowledgelcsh:EcologySpecies richnessScale (map)Distribution of land and sea
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Sexing birds using discriminant function analysis: a critical appraisal.

2011

9 pages; International audience; Discriminant function analysis (DFA) based on morphological measurements is a quick, inexpensive, and efficient method for sex determination in field studies on cryptically monomorphic bird species. However, behind the apparent standardization and relative simplicity of DFA lie subtle differences and pitfalls that have been neglected in some studies. Most of these concerns directly affect assessment of the discriminant performance, a parameter of crucial importance in practice because it provides a measure of the quality of an equation that may be used in later field studies. Using results from 141 published studies and simulations based on a large data set …

0106 biological sciencesZenaida auritaZenaida auritaZenaida dovesSexing[SDV.BID]Life Sciences [q-bio]/Biodiversitysample size effect010603 evolutionary biology01 natural sciencescross-validationCross-validation010605 ornithologyDiscriminant function analysisStatisticsEcology Evolution Behavior and Systematics[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.AP]Statistics [stat]/Applications [stat.AP]biology[ STAT.AP ] Statistics [stat]/Applications [stat.AP]biology.organism_classificationmorphological measurementsDFADiscriminantSample size determinationsexual dimorphismAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and EcologyJackknife resamplingmeasurement errors
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An Algebraic Derivation of Chao’s Estimator of the Number of Species in a Community Highlights the Condition Allowing Chao to Deliver Centered Estima…

2014

Anne Chao proposed a very popular, nonparametric estimator of the species richness of a community, on the basis of a limited size sampling of this community. This expression was originally derived on a statistical basis as a lower-bound estimate of the number of missing species in the sample and provides accordingly a minimal threshold for the estimation of the total species richness of the community. Hereafter, we propose an alternative, algebraic derivation of Chao’s estimator, demonstrating thereby that Chao’s formulation may also provide centered estimates (and not only a lower bound threshold), provided that the sampled communities satisfy a specific type of SAD (species abundance dist…

0106 biological sciences[ SDV.BID ] Life Sciences [q-bio]/BiodiversityIdeal (set theory)Article SubjectEstimatorSampling (statistics)[SDV.BID]Life Sciences [q-bio]/Biodiversity15. Life on land010603 evolutionary biology01 natural sciencesUpper and lower bounds010104 statistics & probabilitySample size determinationStatisticsSpecies richness0101 mathematicsAlgebraic numberRelative abundance distributionMathematicsResearch ArticleInternational Scholarly Research Notices
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Estimation of local extinction rates when species detectability covaries with extinction probability: is it a problem ?

2006

Estimating the rate of change of the composition of communities is of direct interest to address many fundamental and applied questions in ecology. One methodological problem is that it is hard to detect all the species present in a community. Nichols et al. presented an estimator of the local extinction rate that takes into account species probability of detection, but little information is available on its performance. However, they predicted that if a covariance between species detection probability and local extinction rate exists in a community, the estimator of local extinction rate complement would be positively biased. Here, we show, using simulations over a wide range of parameters…

0106 biological sciences[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]Extinction probabilityEcology[SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]Sampling (statistics)Estimator15. Life on landCovariance010603 evolutionary biology01 natural sciencesStatistical power010104 statistics & probabilityLocal extinctionStatisticsRange (statistics)0101 mathematicsVital rates[ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT]Ecology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSMathematics
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Statistical modelling and RCS detrending methods provide similar estimates of long-term trend in radial growth of common beech in north-eastern France

2011

International audience; Dendrochronological methods have greatly contributed to the documentation of past long-term trends in forest growth. These methods primarily focus on the high-frequency signals of tree ring chronologies. They require the removal of the ageing trend in tree growth, known as 'standardisation' or 'detrending', as a prerequisite to the estimation of such trends. Because the approach is sequential, it may however absorb part of the low-frequency historical signal. In this study, we investigate the effect of a sequential and a simultaneous estimation of the ageing trend on the chronology of growth. We formerly developed a method to estimate historical changes in growth, in…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesFagus sylvatica[SDE.MCG]Environmental Sciences/Global ChangesMagnitude (mathematics)FOREST DECLINEstandardisationPlant Sciencegrowth trends01 natural sciencesAGING[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsFagus sylvatica[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestryFORESTSSampling designDendrochronologyEconometricsSOIL FERTILITYHETRE COMMUNstatistical modellingBeech0105 earth and related environmental sciencesEstimationSequential estimation[STAT.AP]Statistics [stat]/Applications [stat.AP]EcologybiologydendrochronologyDEVELOPMENTAL STAGES ESTIMATIONSampling (statistics)STATISTICAL ANALYSIS15. Life on landbiology.organism_classificationEnvironmental scienceGROWTH Physical geographyGROWTH RINGS010606 plant biology & botany
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