Search results for "AAL"

showing 10 items of 6255 documents

Geographic mosaic of selection by avian predators on hindwing warning colour in a polymorphic aposematic moth

2020

AbstractWarning signals are predicted to develop signal monomorphism via positive frequency-dependent selection (+FDS) albeit many aposematic systems exhibit signal polymorphism. To understand this mismatch, we conducted a large-scale predation experiment in four locations, among which the frequencies of hindwing warning coloration of aposematic Arctia plantaginis differ. Here we show that selection by avian predators on warning colour is predicted by local morph frequency and predator community composition. We found +FDS to be strongest in monomorphic Scotland, and in contrast, lowest in polymorphic Finland, where different predators favour different male morphs. +FDS was also found in Geo…

0106 biological sciencespredatorspredator-prey interactionsFrequency-dependent selectionFREQUENCY-DEPENDENT SELECTIONDIVERSITYMoths01 natural sciencesMüllerian mimicrytäpläsiilikäsPredationmuuntelu (biologia)Arctia plantaginisPredatorFinland0303 health sciencesMonomorphismsaaliseläimetluonnonvalintaEcologywood tiger mothVARIABLE SELECTIONDIFFERENTIATIONPOISON FROG1181 Ecology evolutionary biologyMULLERIAN MIMICRYvaroitusväriColorZoologyAposematismBiology010603 evolutionary biologyBirds03 medical and health sciencesArctia plantaginisAposematismPARASEMIAcolour polymorphismpetoeläimetAnimalsaposematismfrequency‐dependent selectionEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologysignal variationsignal convergence010604 marine biology & hydrobiologypredator–prey interactionsEVOLUTIONSIGNALScotlandCommunity compositionPredatory Behavior
researchProduct

Antipredator strategies of pupae: how to avoid predation in an immobile life stage?

2019

Antipredator strategies of the pupal stage in insects have received little attention in comparison to larval or adult stages. This is despite the fact that predation risk can be high during the pupal stage, making it a critical stage for subsequent fitness. The immobile pupae are not, however, defenceless; a wide range of antipredator strategies have evolved against invertebrate and vertebrate predators. The most common strategy seems to be ‘avoiding encounters with predators' by actively hiding in vegetation and soil or via cryptic coloration and masquerade. Pupae have also evolved behavioural and secondary defences such as defensive toxins, physical defences or deimatic movements and soun…

0106 biological sciencespupal defencesuojautuminenFood ChainInsectaZoologyBiologyEnvironment010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyPredation03 medical and health sciencestoukatAnimalsprotective colorationpuolustusmekanismit (biologia)Selection Genetic030304 developmental biologysuojaväri0303 health sciencesLarvasaaliseläimetchemical defencephysical defencefungiPupapredator–prey interactionsArticlesLife stagePupahyönteisetGeneral Agricultural and Biological SciencesPhilosophical transactions of the Royal Society of London. Series B, Biological sciences
researchProduct

Large differences in catch per unit of effort between two minnow trap models

2013

Background: Little is known about variation in catch per unit of effort (CPUE) in stickleback fisheries, or the factors explaining this variation. We investigated how nine-spined stickleback (Pungitius pungitius) CPUE was influenced by trap model by comparing the CPUEs of two very similar minnow trap models fished side-by-side in a paired experimental design. Results: The galvanized trap type (mean CPUE = 1.31 fish h–1) out-fished the black trap type (mean CPUE = 0.20 fish h–1) consistently, and yielded on average 81% more fish. Conclusions: The results demonstrate that small differences in trap appearance can have large impacts on CPUE. This has implications for studies designed to investi…

0106 biological sciencesputkimertaPungitius pungitiusDecision MakingcpueFisheriesfunnel trapColor010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologycatchabilityPungitiusAbundance (ecology)biology.animalpyydystettävyysyksikkösaalisAnimalspiikkikalaCatchability14. Life underwaterFunnel trapEcosystemMedicine(all)pyydysBehavior AnimalbiologyBiochemistry Genetics and Molecular Biology(all)stickleback010604 marine biology & hydrobiologySticklebackEquipment DesignGeneral MedicineSticklebackTrap (plumbing)Minnowbiology.organism_classificationSmegmamorphaTrapFisherykalastuskalatalousFishery1181 Ecology evolutionary biologyCPUEFish <Actinopterygii>trapResearch Article
researchProduct

How partnerships end in guillemots Uria aalge : chance events, adaptive change, or forced divorce?

2007

Divorce in socially monogamous species can result from different mechanisms, for example, chance events, active desertion of the partner, or the intrusion of a third individual ousting the partner. We compared the predictions associated with such mechanisms with data from common guillemots (Uria aalge) breeding on the Isle of May, Scotland. The data cover the years 1982--2005 and show a yearly divorce rate of 10.2%. In most divorces (86%), one of the original partners moved to another breeding site, whereas the other bird stayed and bred with a new partner. On average, movers had a significantly lower breeding success after divorce, stayers were largely unaffected, whereas the incoming bird…

0106 biological sciencesreunification rateEcologycommon guillemots05 social sciencesAdaptive changeBiologybiology.organism_classification010603 evolutionary biology01 natural sciencesforced divorceIntrusionauks (Alcidae)pair bondscommon murresAccidentalUria aalge0501 psychology and cognitive sciencesAnimal Science and Zoology050102 behavioral science & comparative psychologyNegative correlationEcology Evolution Behavior and SystematicsDemographyDiversity (business)
researchProduct

The Strategic Reference Gene: an organismal theory of inclusive fitness

2019

How to define and use the concept of inclusive fitness is a contentious topic in evolutionary theory. Inclusive fitness can be used to calculate selection on a focal gene, but it is also applied to whole organisms. Individuals are then predicted to appear designed as if to maximise their inclusive fitness, provided that certain conditions are met (formally when interactions between individuals are 'additive'). Here we argue that applying the concept of inclusive fitness to organisms is justified under far broader conditions than previously shown, but only if it is appropriately defined. Specifically, we propose that organisms should maximise the sum of their offspring (including any accrued…

0106 biological sciencesselfish geneHamilton’s ruleEvolutionevoluutioKin selection010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesReference genekausaaliteettiSelection GeneticsukulaisvalintaQuantitative Biology - Populations and Evolutionsocial evolutionEvolutionary theorySelection (genetic algorithm)030304 developmental biologyGeneral Environmental Sciencesopeutuminen0303 health sciencesgeenitModels GeneticGeneral Immunology and MicrobiologyReproductionPopulations and Evolution (q-bio.PE)Inclusive fitnessGeneral MedicineBiological EvolutionCausalityPhenotypeEvolutionary biologyFOS: Biological scienceskausaliteettiGenetic FitnessAdaptationSocial evolutionGeneral Agricultural and Biological SciencesPsychology
researchProduct

Why aren't warning signals everywhere? : On the prevalence of aposematism and mimicry in communities

2021

Warning signals are a striking example of natural selection present in almost every ecological community - from Nordic meadows to tropical rainforests, defended prey species and their mimics ward off potential predators before they attack. Yet despite the wide distribution of warning signals, they are relatively scarce as a proportion of the total prey available, and more so in some biomes than others. Classically, warning signals are thought to be governed by positive density-dependent selection, i.e. they succeed better when they are more common. Therefore, after surmounting this initial barrier to their evolution, it is puzzling that they remain uncommon on the scale of the community. He…

0106 biological sciencesvaroitusväri570predator-prey interactionsFREQUENCY-DEPENDENT SELECTIONFrequency-dependent selectionPopulationBatesian mimicryAposematismMacroevolutionModels Biological010603 evolutionary biology01 natural sciencesRISK-TAKINGGeneral Biochemistry Genetics and Molecular BiologyMüllerian mimicryPredationANTIPREDATOR DEFENSES03 medical and health sciencesPrevalenceAnimalsaposematismecological nicheeducationMullerian mimicryBODY-SIZE030304 developmental biology0303 health scienceseducation.field_of_studyMüllerian mimicryEcologyBiological Mimicrymimikrypredator–prey interactionseliöyhteisötBiological EvolutionBatesian mimicrysaalistusekologinen lokeroCORAL-SNAKE PATTERNCHEMICAL DEFENSEGeographyCOLOR PATTERNPredatory Behavior1181 Ecology evolutionary biologyMimicrySHIFTING BALANCEGeneral Agricultural and Biological Sciencescommunity ecology
researchProduct

Evaluating the potential for evolutionary mismatch in Batesian mimics: A case study in the endangered smooth snake (Coronella austriaca)

2018

Many harmless organisms gain a survival advantage by mimicking venomous species. This is the case of the endangered smooth snake (Coronella austriaca), which mimics venomous vipers. Although this may protect the smooth snake against most of its natural predators, it may render them at greater risk of mortality from humans, who are more inclined to kill species, such as vipers, that they consider dangerous. This may cause an evolutionary mismatch, whereby humans may counteract the natural advantage of mimicry. We explore this possibility of evaluating the willingness of humans to kill smooth snakes versus the adder (Vipera berus), as well as their ability to discern them in the Åland Islands…

0106 biological sciencesvaroitusväriVIPeRVipera berusconflictEndangered specieskyyZoologyAposematismmatelijat010603 evolutionary biology01 natural sciencescomplex mixturesPredationkäärmeetCoronella austriacakangaskäärmeGeneticsaposematismkäyttäytyminenEcology Evolution Behavior and Systematicsbiologylajiensuojelu010604 marine biology & hydrobiologymimikrybiology.organism_classificationBatesian mimicrysaalistusreptilesbehaviourPerspectiveMimicryta1181ihminen-eläinsuhdepredationGeneral Agricultural and Biological SciencesPerspectivesEvolutionary Applications
researchProduct

Out in the open : behavior’s effect on predation risk and thermoregulation by aposematic caterpillars

2020

Abstract Warning coloration should be under strong stabilizing selection but often displays considerable intraspecific variation. Opposing selection on color by predators and temperature is one potential explanation for this seeming paradox. Despite the importance of behavior for both predator avoidance and thermoregulation, its role in mediating selection by predators and temperature on warning coloration has received little attention. Wood tiger moth caterpillars, Arctia plantaginis, have aposematic coloration, an orange patch on the black body. The size of the orange patch varies considerably: individuals with larger patches are safer from predators, but having a small patch is beneficia…

0106 biological sciencesvaroitusväriZoologyAposematismBiology010603 evolutionary biology01 natural scienceseläinten käyttäytyminenIntraspecific competitiontäpläsiilikäsPredation03 medical and health sciencesParus majoraposematismStabilizing selectionCaterpillarArctia plantaginisPredatorEcology Evolution Behavior and Systematicslämmönsäätely030304 developmental biologyParus0303 health sciencesthermoregulationAcademicSubjects/SCI01330Original Articlestalitiainen15. Life on landThermoregulationbiology.organism_classificationmicrohabitat preferencesaalistuscolorAnimal Science and Zoology
researchProduct

Social learning within and across predator species reduces attacks on novel aposematic prey

2020

Abstract To make adaptive foraging decisions, predators need to gather information about the profitability of prey. As well as learning from prey encounters, recent studies show that predators can learn about prey defences by observing the negative foraging experiences of conspecifics. However, predator communities are complex. While observing heterospecifics may increase learning opportunities, we know little about how social information use varies across predator species.Social transmission of avoidance among predators also has potential consequences for defended prey. Conspicuous aposematic prey are assumed to be an easy target for naïve predators, but this cost may be reduced if multipl…

0106 biological sciencesvaroitusväripredator-prey interactionsForagingZoologyAposematism010603 evolutionary biology01 natural scienceseläinten käyttäytyminenPredationpetoeläimetAnimalsaposematismPasseriformesSocial informationPredatorEcology Evolution Behavior and Systematicsheterospecific informationBehavioural EcologyParussaaliseläimetbiologyconspecific information010604 marine biology & hydrobiologyCyanistespredator–prey interactionsSocial learningbiology.organism_classificationsosiaalinen oppiminensocial learningPredatory Behavior1181 Ecology evolutionary biologyavoidance learningAnimal Science and ZoologyResearch Article
researchProduct

Extreme minimal learning machine: Ridge regression with distance-based basis

2019

The extreme learning machine (ELM) and the minimal learning machine (MLM) are nonlinear and scalable machine learning techniques with a randomly generated basis. Both techniques start with a step in which a matrix of weights for the linear combination of the basis is recovered. In the MLM, the feature mapping in this step corresponds to distance calculations between the training data and a set of reference points, whereas in the ELM, a transformation using a radial or sigmoidal activation function is commonly used. Computation of the model output, for prediction or classification purposes, is straightforward with the ELM after the first step. In the original MLM, one needs to solve an addit…

0209 industrial biotechnologyComputer scienceCognitive Neuroscienceneuraalilaskentaneuroverkot02 engineering and technologyrandomized learning machinesSet (abstract data type)extreme learning machine020901 industrial engineering & automationArtificial Intelligenceextreme minimal learning machine0202 electrical engineering electronic engineering information engineeringExtreme learning machineta113Training setBasis (linear algebra)Model selectionminimal learning machineOverlearningComputer Science ApplicationskoneoppiminenTransformation (function)020201 artificial intelligence & image processingAlgorithmNeurocomputing
researchProduct