Search results for "Mod"

showing 10 items of 39605 documents

Disturbance-grazer-vegetation interactions maintain habitat diversity in mountain pasture-woodlands

2017

Low-intensity livestock grazing is a widespread management tool in order to maintain habitat diversity in mountain pasture-woodlands for nature conservation purposes. Historical photographs indicate that forest disturbance significantly contributed to forest-grassland mosaic pattern formation. Disturbance grazer interactions are however poorly understood and the effects of logging or windthrow are rarely considered in management plans. Moreover, disturbance-grazer interactions are crucial for the maintenance of open habitats in the upcoming "rewilding" approach of nature conservation. We aimed to understand the effects of forest gap creation by the breakdown of senile trees or by single-tre…

0106 biological sciencesDisturbance (geology)010504 meteorology & atmospheric sciencesWoodlandWindthrowUngulates010603 evolutionary biology01 natural sciencesGrasslandForest-grassland mosaicGrazing0105 earth and related environmental sciences2. Zero hunger[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologygeographygeography.geographical_feature_categoryAgroforestryEcologyEcological ModelingSegregationLoggingSemi-open landscape15. Life on landManagementHabitatSecondary forest[SDE.BE]Environmental Sciences/Biodiversity and EcologyTree lineEcological Modelling
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Interactions between environmental variability and immigration rate control patterns of species diversity

2006

Abstract Theories focussing on local competition processes predict that species diversity is maximised with high-frequency environmental variability or alternatively with intermediate frequencies. The models coupling regional processes to local explanations of diversity patterns predict that the immigration rate from a regional species pool can strongly increase diversity. However, the interaction between local and regional processes in temporally fluctuating environment has received little attention. We explored in a simulation study how the patterns of species diversity are affected by the frequency spectrum of stochastic environmental variations and density independent immigration rate i…

0106 biological sciencesEcological nicheEcologyEcological Modelingmedia_common.quotation_subjectBiodiversitySpecies diversity15. Life on landBiology010603 evolutionary biology01 natural sciencesCompetition (biology)010601 ecologyIntermediate Disturbance HypothesisBiological dispersalGrowth ratehuman activitiesDiversity (business)media_commonEcological Modelling
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Corrigendum to “Soil fungal community composition does not alter along a latitudinal gradient through the maritime and sub-Antarctic” Fungal Ecology …

2012

0106 biological sciencesEcologyFungal ecologyEcologyEcological ModelingEnvironmental ethicsPlant ScienceBiologySub antarctic010603 evolutionary biology01 natural sciencesCommunity compositionEcology Evolution Behavior and Systematics010606 plant biology & botanyFungal Ecology
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Integrating spatial management measures into fisheries: The Lepidorhombus spp. case study

2020

Most fisheries management systems rely on a set of regulatory measures to achieve desired objectives. Controls on catch and effort are usually supplemented with gear restrictions, minimum landing sizes, and in the framework of the new common fisheries policy, limitation of discards and by-catch. However, the increasing use of spatial management measures such as conservation areas or spatial and temporal area closures faces new challenges for fishery managers. Here we present an integrated spatial framework to identify areas in which undersized commercial species are more abundant. Once these areas are identified they could be avoided by fishers, minimizing the fishing impact over the immatu…

0106 biological sciencesEconomics and EconometricsCentro Oceanográfico de SantanderFishingManagement Monitoring Policy and LawAquatic Science01 natural sciencesEnvironmental dataIntegrated fishery managementMedio MarinoUndersized fishBayesian modelsGeneral Environmental Sciencefishbiology010604 marine biology & hydrobiologySensitive areas04 agricultural and veterinary sciencesbiology.organism_classificationDiscardsFisheryLepidorhombusGeographyDiscardsocean policySpatial managementLanding obligation040102 fisheriesSpatial ecology0401 agriculture forestry and fisheriesFisheries managementMegrimecologyLaw
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Discard ban: A simulation-based approach combining hierarchical Bayesian and food web spatial models

2020

12 pages, 6 figures, 6 tables, 2 appendixes, supplementary data https://doi.org/10.1016/j.marpol.2019.103703

0106 biological sciencesEconomics and EconometricsComputer scienceFishingSede Central IEOContext (language use)Management Monitoring Policy and LawAquatic ScienceBayesian inference01 natural sciencesEnvironmental datamedia_common.cataloged_instanceEcoSimSpatial ecologyPesquerías14. Life underwaterEuropean unionGeneral Environmental Sciencemedia_commonEcospacebusiness.industry010604 marine biology & hydrobiologyEnvironmental resource management04 agricultural and veterinary sciencesFood web modelDiscardsDiscards13. Climate actionBayesian modelLanding obligationMediterranean sea040102 fisheries0401 agriculture forestry and fisheriesFisheries managementbusinessLaw
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Small-scale shrimp fisheries bycatch: a multi-criteria approach for data-poor situations

2020

Abstract Bycatch and discards from small-scale fisheries (SSF) are usually ignored when compared with industrial fisheries, not only by policy-makers, but also by scientists. Therefore, SSF social, economic and ecological impacts are poorly known and especially in the context of incidental catches, regardless of whether they become bycatch or discards. Such neglect is worrisome due to the role that SSF play in food security and poverty alleviation, particularly in coastal and rural communities in developing countries. In this study, a combination of sampling data and the fishers' behavior (specifically the basis of their decision on where to fish) were used. Bayesian models were applied to …

0106 biological sciencesEconomics and EconometricsFishingFishers' behaviorContext (language use)Management Monitoring Policy and LawAquatic Science01 natural sciencesCentro Oceanográfico de MurciaPesqueríasBayesian modelsGeneral Environmental ScienceFood security010604 marine biology & hydrobiologyShrimp fisherySubsistence agriculture04 agricultural and veterinary sciencesLivelihoodDiscardsBycatchFisheryGeographyEconomic incentives040102 fisheries0401 agriculture forestry and fisheriesLaw
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Combining molecular microbial ecology with ecophysiology and plant genetics for a better understanding of plant-microbial communities' interactions i…

2013

18 pages; International audience

0106 biological sciencesEcophysiologyquantitative geneticsecophysiologyPlant genetics[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studyBiology[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciences03 medical and health sciencesplant–microbes interactionsMicrobial ecologyBotany[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health sciencesRhizosphere[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologymodelingQuantitative geneticsMicrobial population biology[SDE.BE]Environmental Sciences/Biodiversity and Ecologymicrobial communityrhizosphere010606 plant biology & botany[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Examining nonstationarity in the recruitment dynamics of fishes using Bayesian change point analysis

2017

Marine ecosystems can undergo regime shifts, which result in nonstationarity in the dynamics of the fish populations inhabiting them. The assumption of time-invariant parameters in stock–recruitment models can lead to severe errors when forecasting renewal ability of stocks that experience shifts in their recruitment dynamics. We present a novel method for fitting stock–recruitment models using the Bayesian online change point detection algorithm, which is able to cope with sudden changes in the model parameters. We validate our method using simulations and apply it to empirical data of four demersal fishes in the southern Gulf of St. Lawrence. We show that all of the stocks have experience…

0106 biological sciencesEmpirical dataEcology010604 marine biology & hydrobiologyBayesian probabilityModel parametersAquatic Science010603 evolutionary biology01 natural sciencesChange-Point AnalysisEconometricsEnvironmental scienceFish <Actinopterygii>Marine ecosystem14. Life underwaterEcology Evolution Behavior and SystematicsChange detectionCanadian Journal of Fisheries and Aquatic Sciences
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Hydrodynamic characterization of a new small-scale reactor mixed by a magnetic bar

2015

International audience; The purpose of this study was to evaluate the mixing characteristics of a new milliliter-scale (mL-scale) reactor developed for studying enzymatic activity or physiological cell response. The mL-scale reactor was designed to enable the integration of several sensors to carry out dynamic measurements in a controlled environment. Rapid homogeneity of the entire system is essential to ensure reproducible and reliable results, consequently the reactor was stirred to optimize both mass and heat transfers. A comparative study using three different techniques was undertaken to study mixing performances in the system. Firstly, mixing time (4,) was estimated in the reactor us…

0106 biological sciencesEngineeringEnvironmental EngineeringBiomedical EngineeringEnvironment controlledBioengineering02 engineering and technologyComputational fluid dynamics01 natural sciences7. Clean energyHomogenization (chemistry)[ CHIM ] Chemical Sciences010608 biotechnologyHomogeneity (physics)[CHIM]Chemical SciencesPlug flow reactor modelSimulationTurbulencebusiness.industryLaminar flowMechanics021001 nanoscience & nanotechnologySystem dynamics0210 nano-technologybusinessBiotechnology
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Decoding Group Vocalizations: The Acoustic Energy Distribution of Chorus Howls Is Useful to Determine Wolf Reproduction

2016

Population monitoring is crucial for wildlife management and conservation. In the last few decades, wildlife researchers have increasingly applied bioacoustics tools to obtain information on several essential ecological parameters, such as distribution and abundance. One such application involves wolves (Canis lupus). These canids respond to simulated howls by emitting group vocalizations known as chorus howls. These responses to simulated howls reveal the presence of wolf litters during the breeding period and are therefore often used to determine the status of wolf populations. However, the acoustic structure of chorus howls is complex and discriminating the presence of pups in a chorus i…

0106 biological sciencesEntropyPopulation Dynamicslcsh:MedicineWildlife01 natural sciencesVocalizationMathematical and Statistical Techniqueslcsh:ScienceAnimal Signaling and CommunicationIberian wolfMammalseducation.field_of_studyMultidisciplinarybiologyAnimal BehaviorBehavior AnimalEcologyPhysicsReproductionAcoustic energyCanisPhysical SciencesVertebratesThermodynamicsCartographyStatistics (Mathematics)Research ArticleConservation of Natural ResourcesBioacousticsAnimal TypesPopulationResearch and Analysis Methods010603 evolutionary biologyCoyotesAcoustic SignalsAnimalsWildlife managementStatistical MethodseducationEcosystemBehaviorWolvesReproductive success010604 marine biology & hydrobiologylcsh:RChorusOrganismsBiology and Life SciencesAcousticsJackalsModels Theoreticalbiology.organism_classificationAmnioteslcsh:QVocalization AnimalZoologyBioacousticsMathematicsForecasting
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