Search results for "DEPENDENCE"

showing 10 items of 2462 documents

From arctic lemmings to adaptive dynamics: Charles Elton's legacy in population ecology.

2001

We shall examine the impact of Charles S. Elton's 1924 article on periodic fluctuations in animal populations on the development of modern population ecology. We argue that his impact has been substantial and that during the past 75 years of research on multi-annual periodic fluctuations in numbers of voles, lemmings, hares, lynx and game animals he has contributed much to the contemporary understanding of the causes and consequences of population regulation. Elton was convinced that the cause of the regular fluctuations was climatic variation. To support this conclusion, he examined long-term population data then available. Despite his firm belief in a climatic cause of the self-repeating …

0106 biological sciencesClimatePopulationCarnivoraPopulation DynamicsBiologyEcological systems theory010603 evolutionary biology01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyAnimalsSpecial casePositive economicsSpeculationeducationBiologyMammalseducation.field_of_studyEcologyEcologyArvicolinae010604 marine biology & hydrobiologyLagomorphaPopulation ecologyBiological SciencesHistory 20th CenturyAdaptation PhysiologicalBiological Evolution010601 ecologyDensity dependenceSpatial ecologyPopulation cycleGeneral Agricultural and Biological SciencesBiological reviews of the Cambridge Philosophical Society
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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
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Data-Based Forest Management with Uncertainties and Multiple Objectives

2016

In this paper, we present an approach of employing multiobjective optimization to support decision making in forest management planning. The planning is based on data representing so-called stands, each consisting of homogeneous parts of the forest, and simulations of how the trees grow in the stands under different treatment options. Forest planning concerns future decisions to be made that include uncertainty. We employ as objective functions both the expected values of incomes and biodiversity as well as the value at risk for both of these objectives. In addition, we minimize the risk level for both the income value and the biodiversity value. There is a tradeoff between the expected val…

0106 biological sciencesPareto optimalityDecision support systeminteractive multiobjective optimization010504 meteorology & atmospheric sciencesOperations researchComputer sciencemedia_common.quotation_subjectForest managementmetsäsuunnitteluPlan (drawing)01 natural sciencesMulti-objective optimizationepävarmuusPreferenceInterdependencemultiobjective optimizationValue (mathematics)Value at risk010606 plant biology & botany0105 earth and related environmental sciencesmedia_common
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Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models

2017

1. Identifying the spatial scale of population structuring is critical for the conservation of natural populations and for drawing accurate ecological inferences. However, population studies often use spatially aggregated data to draw inferences about population trends and drivers, potentially masking ecologically relevant population sub‐structure and dynamics. 2. The goals of this study were to investigate how population dynamics models with and without spatial structure affect inferences on population trends and the identification of intrinsic drivers of population dynamics (e.g. density dependence). 3. Specifically, we developed dynamic, age‐structured, state‐space models to test differe…

0106 biological sciencesPopulation DynamicsFishingPopulationEnvironment010603 evolutionary biology01 natural sciencesAnimalsGaduseducationEcology Evolution Behavior and Systematicseducation.field_of_studyBiomass (ecology)biologyNorwayEcology010604 marine biology & hydrobiologyFishesModels Theoreticalbiology.organism_classificationDensity dependenceGeographyGadus morhuaHabitatSpatial ecologyAnimal Science and ZoologyScale (map)Animal DistributionJournal of Animal Ecology
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Rapid response of a long-lived species to improved water and grazing management: the case of the European pond turtle (Emys orbicularis) in the Camar…

2014

7 pages; International audience; Among human activities, the effect of habitat management by grazing on population viability is ambiguous. Indeed, beneficial effects of grazing are expected by maintaining open meadows, but overgrazing is supposed to increase mortality by trampling. Grazing has been shown to negatively impact the survival of European pond turtle (Emys orbicularis) in the Camargue. Consequently, a new management plan was defined. We investigated the consequences of this management using capture-recapture methods to estimate variations of population sizes in this managed site and a control site over a 17 years period. Results show an increase of the number of adults and juveni…

0106 biological sciencesPopulationDensity-dependenceBiology010603 evolutionary biology01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsGrazingparasitic diseasesHydrologic managementOvergrazingeducationNature and Landscape Conservation[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyeducation.field_of_studyEcologyEmys orbicularisEcology010604 marine biology & hydrobiologyPopulation sizeCapture-mark-recapture15. Life on landbiology.organism_classificationPastoral management[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/EcosystemsDensity dependenceHabitatPopulation sizeTrampling[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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An ecological multi-Level theory of competition for resources used to analyse density-dependence effects in fruit production

2014

International audience; Lescourret and Génard (2003) developed a multi-level theory of competition for resources applied to fruit production, considering that any collection of unit parts (cells or seeds in a fruit, fruits in an infructescence or in a tree...) can form a population and the population is subject to competition, whatever the level of organization. The principles of the theory are that the mass of each unit decreases when the number of units in the population increases and that the total mass of the population increases as the number of units increases until it reaches a maximum, after which it decreases. A three-parameter model based on that theory was used to analyse the lev…

0106 biological sciences[SDE] Environmental SciencesPomologymodèle multicouchesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]PopulationCell volumepopulationpomologymasse végétaleHorticultureculture fruitière01 natural sciencesCompetition (biology)modellingProduction (economics)[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyeducationdensité dépendanceComputingMilieux_MISCELLANEOUSMathematicsmedia_commonmodélisationeducation.field_of_study[ SDV ] Life Sciences [q-bio]EcologyPopulation sizefood and beveragesmésocarpemodelingfruitcellproduction fruitière010601 ecology[SDV] Life Sciences [q-bio]HorticultureDensity dependencedensity dependencegénotype végétalInfructescence[SDE]Environmental Sciencesmassmulti‐levelcompetition010606 plant biology & botany
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Habitat assessment by parasitoids: consequences for population distribution

2006

International audience; The ideal free distribution (IFD) is a stable distribution of competitors among resource patches. For equally efficient competitors, equilibrium is reached when the per capita rate of intake equalizes across patches. The seminal version of the IFD assumes omniscience, but populations may still converge toward the equilibrium provided that competitors 1) accurately assess their environment by learning and 2) remain for an optimal (rate-maximizing) time on each encountered patch. In the companion article (Tentelier C, Desouhant E, Fauvergue X. 2006. Habitat assessment by parasitoids: mechanisms for patch time allocation. Behav Ecol. Forthcoming), it is shown that the p…

0106 biological sciences[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]aggregation; density dependence; ideal free distribution; interference; learning; Lysiphlebus testaceipesPopulationTime allocationLEARNINGLYSIPHLEBUS TESTACEIPES010603 evolutionary biology01 natural sciencesParasitoid waspParasitoid03 medical and health sciences[ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT]educationEcology Evolution Behavior and SystematicsDENSITY DEPENDENCEComputingMilieux_MISCELLANEOUS030304 developmental biologyINTERFERENCE0303 health sciencesAphideducation.field_of_studyIdeal free distributionbiology[SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]EcologyHost (biology)AGGREGATIONbiology.organism_classificationINDIVIDUAL BEHAVIORDensity dependenceIDEAL FREE DISTRIBUTIONPOPULATION DISTRIBUTIONAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Non-linear biological responses to disturbance: consequences on population dynamics

2003

Abstract We assessed how non-linear biological responses to environmental noise, or “noise filtering”, impact the spectra of density-dependent population dynamics, and the correlation between noise and population dynamics. The noise was assumed to affect population growth rate in a discrete-time population model by Hassell [J. Anim. Ecol. 44 (1975) 283–295] where the population growth rate was linked to the environment with an optimum type filter. When compared to unfiltered noise, the filtered noise can distort the stationary distribution of population values. The optimum type filter can make cyclic population dynamics more regular and low population values can become more frequent or rare…

0106 biological scienceseducation.field_of_study010604 marine biology & hydrobiologyEcological ModelingPopulation sizePopulationFilter (signal processing)010603 evolutionary biology01 natural sciencesPopulation densityDensity dependencePopulation modelStatisticsQuantitative Biology::Populations and EvolutionPopulation growtheducationEnvironmental noiseMathematicsEcological Modelling
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Population dynamic consequences of delayed life-history effects

2002

Evidence from wildlife and human populations indicates that conditions during early development can have marked effects on the subsequent performance of individuals and cohorts. Likewise, the effects of maternal and, more generally, parental environments can be transferred among individuals between generations. These delayed life-history effects are found consistently and suggestions have been made that they can be one source of both variability and of delayed density dependence in population dynamics. Assessments of several different time series indicate that population variability and delayed density dependence are common and that understanding the mechanisms giving rise to them is crucia…

0106 biological scienceseducation.field_of_study010604 marine biology & hydrobiologyEcology (disciplines)PopulationMaternal effectBiology010603 evolutionary biology01 natural sciencesDensity dependenceCohort effectDelayed density dependenceApplied researchLife historyeducationEcology Evolution Behavior and SystematicsDemographyTrends in Ecology & Evolution
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Population variability in space and time.

2000

One of the most ubiquitous phenomena of all natural populations is their variability in numbers in space and time. However, there are notable differences among populations in the way the population size fluctuates. One of the major challenges in population and community ecology is to explain and understand this variety and to find possible underlying rules that might be modified from case-to-case. Population variability also has a spatial component because fluctuations are often synchronized over relatively large distances. Recently, this has led to growing interest in how 'internal' (density-dependent) processes interact with 'external' factors such as environmental variability.

0106 biological scienceseducation.field_of_studyExtinctionCommunityEcology010604 marine biology & hydrobiologyPopulation sizeEcology (disciplines)Population010603 evolutionary biology01 natural sciencesGeographyDensity dependenceNatural population growthSpatial variabilityeducationEcology Evolution Behavior and SystematicsTrends in ecologyevolution
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