Search results for "Dependence"

showing 10 items of 2462 documents

Positive density-dependent growth supports costs sharing hypothesis and population density sensing in a manipulative parasite.

2017

SUMMARYParasites manipulate their hosts’ phenotype to increase their own fitness. Like any evolutionary adaptation, parasitic manipulations should be costly. Though it is difficult to measure costs of the manipulation directly, they can be evaluated using an indirect approach. For instance, theory suggests that as the parasite infrapopulation grows, the investment of individual parasites in host manipulation decreases, because of cost sharing. Another assumption is that in environments where manipulation does not pay off for the parasite, it can decrease its investment in the manipulation to save resources. We experimentally infected rainbow trout Oncorhynchus mykiss with the immature larva…

0106 biological sciences0301 basic medicinemanipulation costsZoologypositive density-dependencepopulation density sensingparasitismiTrematode InfectionsBiology010603 evolutionary biology01 natural sciencesPopulation densityPredationHost-Parasite Interactions03 medical and health sciencesFish Diseaseskirjolohiloisethost–parasite interactionscost sharingParasite hostingAnimalsMetacercariaeEye lensPopulation DensityEcologyHost (biology)imumadotpopulaatiodynamiikkaAdaptation PhysiologicalBiological Evolutionparasitic manipulation030104 developmental biologyInfectious DiseasesPhenotypeDensity dependentLarvaOncorhynchus mykissMacroparasiteta1181Animal Science and ZoologyParasitologyRainbow troutTrematodaParasitology
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Reply from m. Heino, j.a.j. Metz and v. Kaitala.

1998

Eva Kisdi clarifies the relationships between frequency dependence, optimization and ESSs. We basically agree with all her comments. However, some further clarification may be useful.In the first paragraph of Kisdi's letter, ESSs and optimal strategies are seemingly opposed by saying that `finding an optimal strategy is a considerably stronger result than finding an ESS'. Although this statement is factually correct, it might engender a suggestion that is slightly wrong. Conceptually, ESSs are always primary: only ESSs matter from the viewpoint of long-term evolution. Optimization is secondary only, and must be justified by an ESS argument that explicitly accounts for the ecology in which t…

0106 biological sciences0303 health sciencesEcologyComputer scienceStatement (logic)media_common.quotation_subjectMonotonic functionFrequency dependence010603 evolutionary biology01 natural sciences03 medical and health sciencesIf and only ifArgumentFunction (engineering)Mathematical economicsValue (mathematics)Ecology Evolution Behavior and Systematics030304 developmental biologymedia_commonSimple (philosophy)Trends in ecologyevolution
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The enigma of frequency-dependent selection

1997

Frequency-dependent selection is so fundamental to modern evolutionary thinking that everyone interested in evolutionary biology 'knows' the concept. It is even so fundamental that many authors of textbooks do not bother to define it. Yet it turns out that different authors (and sometimes even one and the same author) use the term to refer to different types of selection. In this paper we try to uncover the sources of this confusion. The concept is fairly well defined in the original concept of population genetical theory, which focuses on short-term evolutionary change, and basically ignores density-dependence. The problems start when the original concept is used in the context of long-ter…

0106 biological sciences0303 health sciencesFrequency-dependent selectionEvolutionary changePopulation geneticsContext (language use)Frequency dependenceBiology010603 evolutionary biology01 natural sciencesTerm (time)EpistemologyTerminology03 medical and health sciencesEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologyTrends in Ecology & Evolution
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Maternal effects and the stability of population dynamics in noisy environments

2001

Summary 1. It is widely appreciated that complex population dynamics are more likely in systems where there is a lag in the density dependence. The transmission of maternal environmental conditions to offspring phenotype is a potential cause of such a lag. Maternal effects are increasingly found to be common in a wide range of organisms, and might thus be a frequent cause of nonequilibrium population dynamics. 2. We show that a maternal effects’ lag generally increases population variability. This may result from the lag inducing cycles (or more complex dynamics) in a deterministic environment or, in a stochastic environment, from the lag interacting with environmental noise to produce more…

0106 biological sciences0303 health scienceseducation.field_of_studyEcologyLagPopulationMaternal effectBiology010603 evolutionary biology01 natural sciencesStability (probability)Life history theory03 medical and health sciencesComplex dynamicsDensity dependenceEconometricsAnimal Science and ZoologyEnvironmental noiseeducationEcology Evolution Behavior and Systematics030304 developmental biologyJournal of Animal Ecology
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Interactive effects of past and present environments on overwintering success-a reciprocal transplant experiment

2012

Life-history traits are influenced by environmental factors throughout the lifespan of an individual. The relative importance of past versus present environment on individual fitness, therefore, is a relevant question in populations that face the challenge of temporally varying environment. We studied the interacting effects of past and present density on body mass, condition, and survival in enclosure populations of the bank vole (Myodes glareolus) using a reciprocal transplant design. In connection with the cyclic dynamics of natural vole populations, our hypothesis was that individuals born in low-density enclosures would do better overwintering in low-density enclosures than in high-den…

0106 biological sciences0303 health scienceseducation.field_of_studyEcologybiologyEcologyPopulationMyodes glareolusbiology.organism_classification010603 evolutionary biology01 natural sciencesBank vole03 medical and health sciencesInteractive effectsDelayed density dependenceVoleeducationEcology Evolution Behavior and SystematicsReciprocalOverwintering030304 developmental biologyNature and Landscape ConservationEcology and Evolution
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Harvesting‐induced population fluctuations?

2003

It has recently been shown that damped endogenous dynamics is a common feature in Finnish grouse species; In this paper, we demonstrate that time-variant harvesting may turn damped dynamics to quasi-periodic fluctuations. Exploited populations, e.g. grouse, may therefore fluctuate more than expected if we do not manage to keep the harvest fraction constant over time. However, the harvest fraction of Finnish grouse varies with the phase of the cycle. Such a harvesting strategy could potentially change the periodicity of the fluctuations, as can a threshold harvest strategy where a constant fraction is harvested above a density threshold. The two non-linear harvesting strategies investigated …

0106 biological sciences0303 health scienceseducation.field_of_studybiologyEcologyPopulationLinear modelGrouseManagement Monitoring Policy and Lawbiology.organism_classification010603 evolutionary biology01 natural sciences03 medical and health sciencesDensity dependence14. Life underwatereducationConstant (mathematics)Biological sciencesEcology Evolution Behavior and Systematics030304 developmental biologyNature and Landscape ConservationWildlife Biology
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Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands

2021

Questions: Species–area relationships (SARs) are fundamental for understanding biodiversity patterns and are generally well described by a power law with a constant exponent z. However, z-values sometimes vary across spatial scales. We asked whether there is a general scale dependence of z-values at fine spatial grains and which potential drivers influence it. Location: Palaearctic biogeographic realm. Methods: We used 6,696 nested-plot series of vascular plants, bryophytes and lichens from the GrassPlot database with two or more grain sizes, ranging from 0.0001 m² to 1,024 m² and covering diverse open habitats. The plots were recorded with two widespread sampling approaches (rooted presenc…

0106 biological sciencesBeta diversityGLM generalized linear model grasslands SAR species area relationship333.7: Landflächen NaturerholungsgebieteGrassPlotBeta diversityPlant Science010603 evolutionary biology01 natural sciencesSpecies-area curveGrasslandPower lawScale dependencevegetationComputingMilieux_MISCELLANEOUSspecies–area relationshipRooted presenceSpecies–area relationshipgeographygeography.geographical_feature_categoryVegetationpower lawEcologyEcologyShoot presenceVegetation15. Life on landZ-valueGrasslandrooted presencePalaearctic580: Pflanzen (Botanik)scale dependencez-valueSettore BIO/03 - Botanica Ambientale E Applicatabeta diversity[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandHeterogeneityScale (map)shoot presence010606 plant biology & botany
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GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

2018

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes a…

0106 biological sciencesBiodiversityPlant Sciencecomputer.software_genre01 natural sciencesGrasslandSAMPLING-DESIGNRICHNESSEcoinformaticsddc:550biodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot; scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot databasescale-dependenceMacroecologybiodiversity2. Zero hungerSCALE DEPENDENCEgeography.geographical_feature_categoryDatabaseVegetationspecies-area relationship (SAR)Grasslandnested plotGeographymacroecologyInstitut für GeowissenschaftenEurasian Dry Grassland Group (EDGG)vegetation-plot database.EUROPEGrassPlotbiodiversity ; European Vegetation Archive (EVA) ; Eurasian Dry Grassland Group (EDGG) ; grassland vegetation ; GrassPlot ; macroecology ; multi-taxon ; nested plot scale-dependence ; species-area relationship (SAR) ; sPlot ; vegetation-plot database010603 evolutionary biologyEcoinformaticsmulti-taxon577: ÖkologieMETAANALYSISENVIRONMENTData collectionsPlotgrass- land vegetationDRY GRASSLANDSgrassland vegetationvegetation-plot database15. Life on landbiodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot databaseMetadataPATTERNSSPECIES-AREA RELATIONSHIPSNested plot scale-dependenceVEGETATIONSpecies richnesscomputerbiodiversity; European Vegetation Archive (EVA); Eurasian Dry Grassland Group (EDGG); grassland vegetation; GrassPlot; macroecology; multi-taxon; nested plot scale-dependence; species-area relationship (SAR); sPlot; vegetation-plot database.010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Predator–vole interactions in northern Europe: the role of small mustelids revised

2014

The cyclic population dynamics of vole and predator communities is a key phenomenon in northern ecosystems, and it appears to be influenced by climate change. Reports of collapsing rodent cycles have attributed the changes to warmer winters, which weaken the interaction between voles and their specialist subnivean predators. Using population data collected throughout Finland during 1986–2011, we analyse the spatio-temporal variation in the interactions between populations of voles and specialist, generalist and avian predators, and investigate by simulations the roles of the different predators in the vole cycle. We test the hypothesis that vole population cyclicity is dependent on predator…

0106 biological sciencesClimate ChangePopulation DynamicsPopulationBiologyGeneralist and specialist species010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyPredationBirdsAnimalsPopulation growthpopulation growth rateeducationResearch ArticlesGeneral Environmental ScienceMammalsPopulation Densityeducation.field_of_studyGeneral Immunology and MicrobiologyArvicolinaeEcology010604 marine biology & hydrobiologyGeneral MedicineModels Theoreticalbiology.organism_classificationpopulaatiodynamiikkaEuropeDensity dependence13. Climate actiondensity dependencePredatory BehaviorDelayed density dependencePopulation cycleta1181Volepopulation cyclesGeneral Agricultural and Biological Sciences
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Nonlinear effects of climate on boreal rodent dynamics: mild winters do not negate high-amplitude cycles

2013

Small rodents are key species in many ecosystems. In boreal and subarctic environments, their importance is heightened by pronounced multiannual population cycles. Alarmingly, the previously regular rodent cycles appear to be collapsing simultaneously in many areas. Climate change, particularly decreasing snow quality or quantity in winter, is hypothesized as a causal factor, but the evidence is contradictory. Reliable analysis of population dynamics and the influence of climate thereon necessitate spatially and temporally extensive data. We combined data on vole abundances and climate, collected at 33 locations throughout Finland from 1970 to 2011, to test the hypothesis that warming winte…

0106 biological sciencesClimate ChangePopulation DynamicsPopulationClimate changeGrowing season010603 evolutionary biology01 natural sciencesAnimalsEnvironmental ChemistryeducationGeneral Environmental ScienceGlobal and Planetary Changeeducation.field_of_studyEcologybiologyArvicolinae010604 marine biology & hydrobiology15. Life on landbiology.organism_classificationSubarctic climateCold TemperatureDensity dependenceBoreal13. Climate actionClimatologyPopulation cycleta1181Environmental scienceVoleSeasonsGlobal Change Biology
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