0000000000084443

AUTHOR

David A. Bohan

showing 12 related works from this author

Movement patterns of Tenebrio beetles demonstrate empirically that correlated-random-walks have similitude with a Lévy walk.

2013

AbstractCorrelated random walks are the dominant conceptual framework for modelling and interpreting organism movement patterns. Recent years have witnessed a stream of high profile publications reporting that many organisms perform Lévy walks; movement patterns that seemingly stand apart from the correlated random walk paradigm because they are discrete and scale-free rather than continuous and scale-finite. Our new study of the movement patterns of Tenebriomolitor beetles in unchanging, featureless arenas provides the first empirical support for a remarkable and deep theoretical synthesis that unites correlated random walks and Lévy walks. It demonstrates that the two models are complemen…

[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyMultidisciplinarycoleopteraMovement (music)Computer scienceMovementRandom walkModels BiologicalArticleSimilitudemodèle biologiqueMovement patternLévy flight[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsStatistical physics[SDE.BE]Environmental Sciences/Biodiversity and EcologyTenebrioAlgorithmsécologie comportementale[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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More choosy under a risk of predation or of competition

2016

International audience; Animals foraging in the wild face a trade-off between staying safe (i.e. avoiding predation orstarvation) and the quality of the food. We therefore hypothesize that animals will modify their foodselection (choosiness) both under competition and predation risk, but that the direction and theamount of change in choosiness will depend on the level of risk they face.To test this hypothesis, the foraging behaviour of the carabid beetle, Harpalus affinis, was examinedunder 4 different experimental conditions: predation risk, intra- and interspecific competition and acontrol.Our results show that when foraging under the risk of predation or competition animals reduce theirc…

[SDE.BE] Environmental Sciences/Biodiversity and Ecology[SDE] Environmental Sciences[SDE]Environmental Sciences[SDE.BE]Environmental Sciences/Biodiversity and EcologyComputingMilieux_MISCELLANEOUS
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Key carabid species drive spring weed seed predation of Viola arvensis

2020

0106 biological sciences[SDV.BIO]Life Sciences [q-bio]/BiotechnologyViola arvensisAlternative Prey010603 evolutionary biology01 natural sciencesSpring (hydrology)Landscape ContextConservation Biological-controlNatural Enemy Biodiversitygeographygeography.geographical_feature_categorybiologyAgricultural ManagementBiocontrolbiology.organism_classification010602 entomology[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyAgronomyInsect ScienceSeed predationGround Beetles ColeopteraKey (lock)Generalist PredatorsWeedInterferenceAgronomy and Crop ScienceCereal Fields
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Risk of predation makes foragers less choosy about their food.

2017

18 pages; International audience; Animals foraging in the wild have to balance speed of decision making and accuracy of assessment of a food item's quality. If resource quality is important for maximizing fitness, then the duration of decision making may be in conflict with other crucial and time consuming tasks, such as anti-predator behaviours or competition monitoring. Individuals facing the risk of predation and/or competition should adjust the duration of decision making and, as a consequence, their level of choosiness for resources. When exposed to predation, the forager could either maintain its level of choosiness for food items but accept a reduction in the amount of food items con…

0106 biological sciencesPhysiologylcsh:MedicinePredationSocial SciencesKaplan-Meier EstimateChoice Behavior01 natural sciencesPredationCognitionMathematical and Statistical TechniquesBeetlesMedicine and Health Sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPsychologyForagingDecision-makinglcsh:Sciencemedia_common2. Zero hungerMultidisciplinaryEcologyAnimal BehaviorEcology05 social sciencesEukaryotaPlantsTrophic InteractionsInsectsCommunity EcologyPhysical SciencesSeedsStatistics (Mathematics)Research ArticleRiskOpportunity costArthropodaMovementmedia_common.quotation_subjectDecision MakingForagingBiologyResearch and Analysis Methods010603 evolutionary biologyIntraspecific competitionCompetition (biology)Food PreferencesAnimals0501 psychology and cognitive sciencesQuality (business)050102 behavioral science & comparative psychologyStatistical MethodsBehavior[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologylcsh:REcology and Environmental SciencesCognitive PsychologyFood ConsumptionOrganismsBiology and Life SciencesInterspecific competitionInvertebratesFoodPredatory BehaviorCognitive Sciencelcsh:QWeeds[SDE.BE]Environmental Sciences/Biodiversity and EcologyPhysiological ProcessesZoologyMathematicsNeuroscienceGeneralized Linear ModelDemography[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Inferring species interactions from ecological survey data: a mechanistic approach to predict quantitative food webs of seed-feeding by carabid beetl…

2020

AbstractEcological networks are valuable for ecosystem analysis but their use is often limited by a lack of data because many types of ecological interaction, e.g. predation, are short-lived and difficult to observe or detect. There are different methods for inferring the presence of interactions, which we lack methods to predict interaction strengths and so use weighted network analysis.Here, we develop a trait-based approach suitable for creating quantitative networks, i.e. with varying interaction strengths. We developed the method for seed-feeding carabid ground beetles (Coleoptera: Carabidae) although the principles can be applied to other interactions.We used existing literature data …

Population levelAbundance (ecology)Cost indexEcologyEcosystem analysisTraitEnvironmental scienceSurvey data collectionWeighted networkPredation
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Machine learning of microbial interactions using abductive ILP and hypothesis frequency/compression estimation

2021

Interaction between species in microbial communities plays an important role in the functioning of all ecosystems, from cropland soils to human gut microbiota. Many statistical approaches have been proposed to infer these interactions from microbial abundance information. However, these statistical approaches have no general mechanisms for incorporating existing ecological knowledge in the inference process. We propose an Abductive/Inductive Logic Programming (A/ILP) framework to infer microbial interactions from microbial abundance data, by including logical descriptions of different types of interaction as background knowledge in the learning. This framework also includes a new mechanism …

Abductive/Inductive Logic Programming (A/ILP)[SDV] Life Sciences [q-bio]inferencehypothesis frequencymachine learning of ecological networksinteraction networkcomputer scienceestimation (HFE)
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Which traits allow weed species to persist in grass margin strips ?

2017

EASPEGESTADINRA; Sown-grass margin strips, historically established to limit pesticide drift and soil erosion, are now also promoted for enhancing floral diversity and associated ecosystem services. To better understand weed community assembly in grass margin strips, we performed floral surveys in 75 sown-grass margin strips in two regions in France and characterized each species using information from trait databases. We hypothesized that traits of dominant species would differ between newly sown-grass margin strips and older strips. Weed species were separated into functional groups based on their traits using multiple correspondence analysis and hierarchical ascendant classification. Fun…

0106 biological sciencesfunctional group[SDV]Life Sciences [q-bio]Plant ScienceBiology010603 evolutionary biology01 natural sciencesMonocotyledonEcosystem servicesagri-environmental schemesMargin (machine learning)field marginRuderal species2. Zero hunger[ SDV ] Life Sciences [q-bio]traitEcologyfungiDicotyledonfood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationfield edgeDisturbance (ecology)040103 agronomy & agricultureTrait0401 agriculture forestry and fisheriescommunity assemblyWeedAgronomy and Crop Science
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Diversity of foraging strategies and responses to predator interference in seed-eating carabid beetles

2019

12 pages; International audience; The prediction of pest regulation by multi-predator communities often remains challenging because of variable and opposite effects of niche complementarity and predator interference. Carabid communities are regulating weeds in arable fields and include a mix of species ranging from granivores to predators that are obligate omnivores. It is not clear from field studies whether granivore and obligate omnivore species either contribute equally or are complementary in the process of weed suppression, and little is known about the impact of potential predator interference within carabid communities on weed suppression. We compared the weed seed foraging strategy…

0106 biological sciencesObligateEcologyForagingInterspecific competition15. Life on landBiology010603 evolutionary biology01 natural sciencesIntraspecific competitionPredationWeed regulation Trophic guild Seed acceptance Latency Predation risk CompetitionOmnivore[SDE.BE]Environmental Sciences/Biodiversity and EcologyWeedEcology Evolution Behavior and SystematicsIntraguild predation[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis010606 plant biology & botanyBasic and Applied Ecology
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Inferring species interactions from ecological survey data: A mechanistic approach to predict quantitative food webs of seed feeding by carabid beetl…

2021

Abstract Ecological networks are valuable for ecosystem analysis but their use is often limited by a lack of data because many types of ecological interaction, for example, predation, are short‐lived and difficult to observe or detect. While there are different methods for inferring the presence of interactions, they have rarely been used to predict the interaction strengths that are required to construct weighted, or quantitative, ecological networks.Here, we develop a trait‐based approach suitable for inferring weighted networks, that is, with varying interaction strengths. We developed the method for seed‐feeding carabid ground beetles (Coleoptera: Carabidae) although the principles can …

0106 biological sciencesseed rainPopulation levelBiology010603 evolutionary biology01 natural sciencesEcology and EnvironmentPredation03 medical and health sciencesAbundance (ecology)biocontrolecological networkQH540-549.5Ecology Evolution Behavior and SystematicsOriginal Research030304 developmental biologyNature and Landscape Conservation0303 health sciencesEcologyEcologyweighted interaction15. Life on landEcological networkCost index[SDE]Environmental SciencesTraitSurvey data collectionCarabidaepredationEcological network analysis
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Combined effect of crop rotation and carabid beetles on weed dynamics in arable fields

2020

AbstractWeed management is a resource-intensive practice in arable agriculture, with direct and long-term impacts on both productivity and biodiversity (e.g. plant, pollinators and farmland wildlife). In conventional systems, weed control relies on crop management and herbicide inputs, but for more sustainable production systems, use of herbicides needs to be reduced. This requires a good understanding of the processes that regulate arable weed dynamics in arable fields.We adopted a systems framework to understand and model interacting components that drive the weed dynamics in 168 arable fields. Within this framework, we built a structural equation model (SEM) to quantify the direct and in…

Agriculturebusiness.industryAgroforestryBiodiversityEnvironmental scienceSowingCrop rotationArable landbusinessWeed controlWeedEcosystem services
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Toward a better understanding of in-field weed regulation by carabid beetles, and their functional characteristics, in European arable landscapes

2019

For future arable agriculture, there is a need for more sustainable methods to manage weeds that are less reliant on herbicides and maintain food production. Control of weeds by natural enemies is an agro-ecological alternative to reduce the use of herbicides. While strong evidence points to carabid beetles exerting a regulatory effect on certain weed species, it is difficult to predict whether a particular assemblage of carabid species or functional groups will drive the function of weed seed predation in field conditions. There are also uncertainties about which key local and landscape-scale factors affect the function of weed seed predation, and the functional characteristics of carabid …

2. Zero hungerC-IPM[SDE] Environmental Sciencescarabid beetle010504 meteorology & atmospheric sciencesAgroforestryField (Bourdieu)BioAWARE projectconservation biological controlGeneral EngineeringBiodiversity15. Life on land010501 environmental sciences01 natural sciencesGeography[SDE]Environmental Sciencesweed seed predationArable landWeedC-IPM BioAWARE project0105 earth and related environmental sciencesbiodiversityARPHA Conference Abstracts
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Do properties and species of weed seeds affect their consumption by carabid beetles?

2019

International audience; Seed predators are an integral part of agroecosystems, where they can reduce the populations of weeds. The preference of predators for seeds and the observed predation rate may be affected by the properties of seeds (e.g. taxonomy, chemical composition, physical defence). In this work, we focused on seed consumption of Taraxacum officinale Web. and Stellaria media (L.) Vill., from France and the Czech Republic, by three species of ground beetle that are seed predators (Coleoptera: Carabidae): Poecilus cupreus (L.), Pterostichus melanarius (Illiger) and Anchomenus dorsalis (Pontoppidan). The seed species were offered in arenas, simultaneously, under three different ex…

AgroecosystemCoatcarabid beetlebiologyAnchomenus dorsalisSignificant differenceseed predator15. Life on landbiology.organism_classificationimbibed seedsPredationGround beetleAgronomy[SDE]Environmental SciencesAnimal Science and ZoologyTaxonomy (biology)granivoryweed seedsWeedpreference
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