Search results for "decision."

showing 10 items of 2079 documents

Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Macrophyte assessment in European lakes: Diverse approaches but convergent views of ‘good’ ecological status

2018

Graphical abstract

0106 biological sciencesEvolution/dk/atira/pure/thematic/inbo_th_00006/dk/atira/pure/policy/kaderrichtlijn_water_krw_General Decision SciencesZannichellia palustrisSpecies and biotopes010501 environmental sciences01 natural sciencesArticle/dk/atira/pure/thematic/inbo_th_00044Water Framework DirectiveAbundance (ecology)Restoration ecologyEcology Evolution Behavior and SystematicsComputingMethodologies_COMPUTERGRAPHICS0105 earth and related environmental sciencesB003-ecologyEcologybiologyEcologyEcological status010604 marine biology & hydrobiologyPhosphorusEcological assessmentNutrientsVegetationEutrophication15. Life on landbiology.organism_classificationBehaviour and SystematicsMacrophytemacrophytes (aquatic plants)PolicyGeographyWater Framework DirectiveIndicator species13. Climate action/dk/atira/pure/discipline/B000/B003articlesSpecies richness/dk/atira/pure/taxonomic/macrofytenAquatic macrophytesSpecies richnessEcological Indicators
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Applying economic and ecological criteria to design cost-effective monitoring for elusive species

2020

Abstract Monitoring programs of long-lived and elusive species often incur high costs in terms of field effort and economical budget, but both components are often considered separately. Also, there is scant information on the use of reliable detectability estimates under imperfect detection conditions based on environmental factors, which is key to accurately estimate financial costs and define optimum monitoring strategies. In this study, we use an intensive survey program (2017–2018) of the Egyptian vulture Neophron percnopterus population in Bizkaia (northern Spain) to model detectability at nests taking into account imperfect detection. Our main goal is to estimate both the number and …

0106 biological sciencesFinancial costseducation.field_of_studyEcologyOccupancyEcologyPopulationGeneral Decision Sciences010501 environmental sciences010603 evolutionary biology01 natural sciencesGeographyNesteducationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcological Indicators
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Application of a new protocol to evaluate the benthic impacts of aquaculture: Colonization of experimental units for monitoring by polychaeta

2019

A range of different protocols and indices have been developed in recent years for the definition of Environmental Quality Standards in aquaculture. However, it can be difficult to compare these protocols or indices between different regions or different habitats due to spatial heterogeneity at different scales. We carried out a field study to estimate the effectiveness of experimental units (sediment-filled trays) as an environmental management tool. The experimental units were filled with two different sediments - sand and mud - and placed underneath two fish farm facilities for one month. Using polychaetes to assess the ecological status, AMBI and multidimensional analysis showed clear r…

0106 biological sciencesFish farmingGeneral Decision SciencesCapitella capitataAquacultureExperimental trays010501 environmental sciences010603 evolutionary biology01 natural sciencesAquacultureZoologíaEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesPolychaeteEcologybiologybusiness.industrybiology.organism_classificationSpatial heterogeneityFisheryAmphareteCapitellaBenthic zoneDefaunated sedimentEnvironmental sciencebusinessPolychaetesRecolonizationEcological Indicators
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Guidelines for risk management in forest planning – what is risk and when is risk management useful?

2018

Managing forest resources occurs under various sources of uncertainty. Depending on the management problem, this uncertainty may have a substantial impact on the quality of the solution. As our knowledge on the sources and magnitude of uncertainty improves, integrating this knowledge into the development of management plans becomes increasingly useful, as additional information can improve the decision-making process. This adjustment requires a fundamental shift in how planning problems are viewed: instead of interpreting risk management as a technique needed only for addressing problems with natural hazards, risk management should be an integral part of most planning problems. Managing ri…

0106 biological sciencesForest planning010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectpäätöksentekoriskienhallintaValue engineering01 natural sciencesconditional value at riskadaptive planningAdaptive planningRisksQuality (business)Environmental planningRisk managementriskit0105 earth and related environmental sciencesmedia_commonriskGlobal and Planetary ChangeEcologyEconomic and social effectsbusiness.industryForestrymetsäsuunnitteluepävarmuusExpected shortfallForest resourceRisk managementmetsänhoitobusinessDecision making010606 plant biology & botany
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Value of information in multiple criteria decision making: an application to forest conservation

2019

Abstract Developing environmental conservation plans involves assessing trade-offs between the benefits and costs of conservation. The benefits of conservation can be established with ecological inventories or estimated based on previously collected information. Conducting ecological inventories can be costly, and the additional information may not justify these costs. To clarify the value of these inventories, we investigate the multiple criteria value of information associated with the acquisition of improved ecological data. This information can be useful when informing the decision maker to acquire better information. We extend the concept of the value of information to a multiple crite…

0106 biological sciencesForest planningEnvironmental EngineeringBayesian decision theory010504 meteorology & atmospheric sciencesOperations researchComputer sciencepäätöksentekoComputational intelligenceEcological data010603 evolutionary biology01 natural sciencesValue of informationoptimointiEnvironmental Chemistrysimulointiconservation planningSafety Risk Reliability and Quality0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and Technologydecision analysisbayesilainen menetelmäsimulationDecision makermonitavoiteoptimointiPreferencemetsiensuojelukriteerittrade-offsMultiple criteriainformation updatingluonnonsuojelukompromissitoptimizationValue (mathematics)Stochastic Environmental Research and Risk Assessment
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Inconsistent relationships among protection, benthic assemblage, habitat complexity and fish biomass in Mediterranean temperate rocky reefs

2021

International audience; Marine Protected Areas (MPAs) have been proved to effectively protect and restore fish assemblages. There is mixed evidence regarding the effects of MPAs on benthic assemblages, habitat complexity, and how protection might mediate the effects of habitat features (including biotic and abiotic components) on fish assemblages, with very little information concerning temperate areas. Here, our aim is to assess how protection 1) influences benthic assemblages and habitat complexity, and 2) mediates the effects of habitat complexity on fishes.Using non-destructive methods (photosampling for shallow rocky benthic assemblages, and underwater visual census using strip transec…

0106 biological sciencesGeneral Decision Sciences010501 environmental sciencesBiologyCystoseiraFish assemblages010603 evolutionary biology01 natural sciencesMediterranean Sea14. Life underwaterTransectReefQH540-549.5Ecology Evolution Behavior and Systematics0105 earth and related environmental sciencesAbiotic componentgeographyBiomass (ecology)geography.geographical_feature_categoryEcological indicesEcologyEcologyfungi15. Life on landbiology.organism_classificationHabitat complexityMPAHabitatBenthic zone[SDE]Environmental SciencesMarine protected areaBenthic coverEcological Indicators
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Machine learning predictions of trophic status indicators and plankton dynamic in coastal lagoons

2018

Abstract Multivariate trophic indices provide an efficient way to assess and classify the eutrophication level and ecological status of a given water body, but their computation requires the availability of experimental information on many parameters, including biological data, that might not always be available. Here we show that machine learning techniques – once trained against a full data set – can be used to infer plankton biomass information from chemical and physical parameter only, so that trophic index can then be computed without using additional biological data. More specifically, we reconstruct plankton information from chemical and physical data, and this information together w…

0106 biological sciencesGeneral Decision Sciences010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesZooplanktonPhytoplankton14. Life underwaterEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesTrophic levelBiological dataEcologybusiness.industry010604 marine biology & hydrobiologyPlanktonEcological indicator[SDE]Environmental SciencesEnvironmental scienceArtificial intelligenceTrixbusinessEutrophicationcomputer
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Vertical sediment migrations of dominant midge species in subtropical lakes with implications for bioassessment

2018

Abstract Propsilocerus akamusi (Diptera: Chironomidae) is a dominant species in numerous eutrophic lakes and they could burrow into deep sediments (>30 cm) during summer months. However, common-used grab samplers are efficient in collecting surface-dwelling species (

0106 biological sciencesGeneral Decision SciencesmacrozoobenthosSubtropics010501 environmental sciences01 natural sciencesChironomidaeChironomidsPropsilocerus akamusisurviaissääsketEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcologybiologyEcology010604 marine biology & hydrobiologySedimentBurrowbiology.organism_classificationpohjaeläimistöbiomonitoringMidgeta1181Environmental scienceEutrophicationindikaattorilajitPropsilocerus akamusiEcological Indicators
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Spatial variability of soil roughness in persimmon plantations: A new combined ISUM (improved stock unearthing method) approach

2019

Made available in DSpace on 2019-10-06T16:49:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-11-01 Universidade Estadual Paulista Soil roughness (SR) is an ecological indicator that describes the distribution of soil surface accumulations and ponds in a terrain, which allows understanding the connectivity of the flows as they act as sinks and sources of water and sediments. There is a set of methods that allows investigating the SR, and we test the use of the improved stock unearthing method (ISUM) as an easy-to-apply and low-cost approach. The ISUM has been initially tested in vineyards using the graft union and measures in the inter-row areas to assess the current soil surface l…

0106 biological sciencesHydrologyMicrotopographic analysisEcologySoil testGeneral Decision SciencesSedimentSoil classificationTerrainAgricultural management systems010501 environmental sciences010603 evolutionary biology01 natural sciencesEcological indicatorSoil waterSoil surface analysisEnvironmental scienceSoil consolidationSpatial variabilityTransectEcology Evolution Behavior and Systematics0105 earth and related environmental sciences
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