Search results for "model."

showing 10 items of 23664 documents

Experimentally induced community assembly of polypores reveals the importance of both environmental filtering and assembly history

2019

The community assembly of wood-inhabiting fungi follows a successional pathway, with newly emerging resource patches being colonised by pioneer species, followed by those specialised on later stages of decay. The primary coloniser species have been suggested to strongly influence the assembly of the later-arriving community. We created an artificial resource pulse and studied the assembly of polypores over an 11yr period to ask how the identities of the colonising species depend on the environmental characteristics and the assembly history of the dead wood unit. Our results support the view that community assembly in fungi is a highly stochastic process, as even detailed description of the …

0106 biological sciencesArtificial resource pulseTime seriesPioneer speciesEcologyCommunity assemblyEcologyHost (biology)Ecological ModelingCommunity structurePriority effectsDead woodPlant Science15. Life on landBiology010603 evolutionary biology01 natural sciencesWood-inhabiting fungiRestoration1181 Ecology evolutionary biologySpatial aggregationTree speciesPolyporesEcology Evolution Behavior and Systematics010606 plant biology & botanyFungal Ecology
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Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

2021

International audience; Most species in ecological communities are rare, whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rarity-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probab…

0106 biological sciencesAssembly rulesFuzzy clustering[SDV]Life Sciences [q-bio]Rare species010603 evolutionary biology01 natural sciencesFuzzy logic03 medical and health sciencesEnvironmental monitoringrarityEcology Evolution Behavior and Systematics030304 developmental biologyenvironmental monitoring0303 health sciencesCommunitybusiness.industryEcological ModelingEnvironmental resource managementassembly rulescommonness15. Life on landGeographyfuzzy clustering[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessabundance–occupancy distributionscommunity ecology
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Habitat associations drive species vulnerability to climate change in boreal forests

2016

Species climate change vulnerability, their predisposition to be adversely affected, has been assessed for a limited portion of biodiversity. Our knowledge of climate change impacts is often based only on exposure, the magnitude of climatic variation in the area occupied by the species, even if species sensitivity, the species ability to tolerate climatic variations determined by traits, plays a key role in determining vulnerability. We analyse the role of species’ habitat associations, a proxy for sensitivity, in explaining vulnerability for two poorly-known but species-rich taxa in boreal forest, saproxylic beetles and fungi, using three IPCC emissions scenarios. Towards the end of the 21…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesForest managementBiodiversityClimate change adaptationClimate change010603 evolutionary biology01 natural sciencesEcosystem serviceshabitat associationFaculty of ScienceForest ecosystem modelEcosystemboreal forestsboreal forest/dk/atira/pure/core/keywords/TheFacultyOfSciencesaproxylic beetleshaavoittuvuus0105 earth and related environmental sciencesGlobal and Planetary ChangeEcologyFungi15. Life on landbiodiversiteettiClimate vulnerabilityHabitat destructionGeographyclimate changeHabitat13. Climate actionThreatened speciessienetForest conservation
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Environment-sensitivity functions for gross primary productivity in light use efficiency models

2022

International audience; The sensitivity of photosynthesis to environmental changes is essential for understanding carbon cycle responses to global climate change and for the development of modeling approaches that explains its spatial and temporal variability. We collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors. These include the responses of GPP to temperature; vapor pressure deficit, some of which include the response to atmospheric CO2 concentrations; soil water availability (W); light intensity; and cloudiness. These functions were combined in a full fact…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesVapour Pressure DeficitBiomeRandomly sampled sitesPlant Ecology and Nature ConservationForcing (mathematics)04 Earth Sciences 06 Biological Sciences 07 Agricultural and Veterinary SciencesAtmospheric sciences01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsFluxNetLaboratory of Geo-information Science and Remote SensingEvapotranspirationMeteorology & Atmospheric SciencesEcosystemLaboratorium voor Geo-informatiekunde en Remote SensingRadiation use efficiencySensitivity formulations0105 earth and related environmental sciencesGlobal and Planetary ChangeDiffuse fractionGlobal warmingModel equifinalityForestryModel comparison15. Life on landPE&RCLight intensity13. Climate actionEnvironmental sciencePlantenecologie en NatuurbeheerCarbon assimilationTemporal scalesAgronomy and Crop Science010606 plant biology & botany
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Alder pollen in Finland ripens after a short exposure to warm days in early spring, showing biennial variation in the onset of pollen ripening

2017

Abstract We developed a temperature sum model to predict the daily pollen release of alder, based on pollen data collected with pollen traps at seven locations in Finland over the years 2000–2014. We estimated the model parameters by minimizing the sum of squared errors (SSE) of the model, with weights that put more weight on binary recognition of daily presence or absence of pollen. The model results suggest that alder pollen ripens after a couple of warm days in February, while the whole pollen release period typically takes up to 4 weeks. We tested the model residuals against air humidity, precipitation and wind speed, but adding these meteorological features did not improve the model pr…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesta1171Atmospheric sciencesmedicine.disease_causeAlnus01 natural sciencesAlderPollenotorhinolaryngologic diseasesmedicineMonte Carlo resamplingPrecipitationsiitepöly0105 earth and related environmental sciencespollen seasonGlobal and Planetary Changefloweringbiologyta114kukintaAnomaly (natural sciences)ta1183food and beveragesHumidityForestryRipeningennusteetmodelingalderbiology.organism_classificationta4112leppäMonte Carlo -menetelmätAlder pollenClimatologyta1181Short exposureAgronomy and Crop Science010606 plant biology & botanyAgricultural and Forest Meteorology
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Coping with Difficult Weather and Snow Conditions : Reindeer herders’ views on climate change impacts and coping strategies

2016

Winter is a critical season for reindeer herding, with the amount and quality of snow being among the most important factors determining the condition of reindeer and the annual success of the livelihood. Our first aim was to model the future (2035–2064) snow conditions in northern Finland, especially the quantities related to ground ice and/or ice layers within the snow pack, exceptionally deep snow and late snow melt. Secondly, we studied the strategies by which herders cope with the impacts of difficult weather and snow conditions on herding by interviewing 21 herders. SNOWPACK simulations indicate that snow cover formation will be delayed by an average of 19 days and snow will melt 16 d…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesta1172educationGeography Planning and Developmentta1171Climate changeSnow modelinglcsh:QC851-999Management Monitoring Policy and Law114 Physical sciences010603 evolutionary biology01 natural sciencesReindeer herdingEnvironmental protectiontalviClimate changeHerding1172 Environmental sciences0105 earth and related environmental sciencesTraditional knowledge (TK)2. Zero hungerGlobal and Planetary ChangeLand useEcologyselviytyminenWinter15. Life on landSnowpackLivelihoodSnowreindeer herdingclimate change13. Climate actionSnowmeltSustainabilityEnvironmental sciencelcsh:Meteorology. Climatologytraditional knowledgeCopingsnow modelling
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An integrated analysis of micro- and macro-habitat features as a tool to detect weather-driven constraints: A case study with cavity nesters.

2017

The effects of climate change on animal populations may be shaped by habitat characteristics at both micro- and macro-habitat level, however, empirical studies integrating these two scales of observation are lacking. As analyses of the effects of climate change commonly rely on data from a much larger scale than the microhabitat level organisms are affected at, this mismatch risks hampering progress in developing understanding of the details of the ecological and evolutionary responses of organisms and, ultimately, effective actions to preserve their populations. Cavity nesters, often with a conservation status of concern, are an ideal model because the cavity is a microenvironment potentia…

0106 biological sciencesAtmospheric ScienceResearch FacilitiesPhysiologyOvipositionlcsh:MedicineKestrelMedicine (all); Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)01 natural sciencesGlobal Warming010605 ornithologyNesting BehaviorGeographical LocationsNestReproductive PhysiologyMedicine and Health SciencesNatural Selectionlcsh:ScienceAbiotic componentClimatologyeducation.field_of_studyMultidisciplinaryBiotic componentbiologyAnimal BehaviorEcologyMedicine (all)Falco naumanniEuropeHabitatItalyVertebratesClutchesResearch ArticleEvolutionary ProcessesClimate ChangePopulationAnimal Sexual BehaviorResearch and Analysis MethodsWeather Stations010603 evolutionary biologyBirdsAnimalseducationWeatherEcosystemFalconiformesAnalysis of VarianceBehaviorEvolutionary BiologyBiochemistry Genetics and Molecular Biology (all)Reproductive successlcsh:REndangered SpeciesOrganismsBiology and Life SciencesModels Theoreticalbiology.organism_classificationReproductive SuccessAgricultural and Biological Sciences (all)AmniotesPeople and PlacesLinear ModelsEarth Scienceslcsh:QZoologyPloS one
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Regional endothermy as a trigger for gigantism in some extinct macropredatory sharks

2017

Otodontids include some of the largest macropredatory sharks that ever lived, the most extreme case being Otodus (Megaselachus) megalodon. The reasons underlying their gigantism, distribution patterns and extinction have been classically linked with climatic factors and the evolution, radiation and migrations of cetaceans during the Paleogene. However, most of these previous proposals are based on the idea of otodontids as ectothermic sharks regardless of the ecological, energetic and body size constraints that this implies. Interestingly, a few recent studies have suggested the possible existence of endothermy in these sharks thus opening the door to a series of new interpretations. Accord…

0106 biological sciencesAtmospheric ScienceTeethPhysiologylcsh:MedicinePredationOxygen Isotopes01 natural sciencesBody TemperatureEndocrinologyMedicine and Health SciencesBody Sizelcsh:ScienceChondrichthyesClimatologyMultidisciplinaryEcologyMegalodonbiologyFossilsEcologyTemperatureEukaryotaOtodusBiological EvolutionTrophic InteractionsSwimming speedPhysiological ParametersCommunity EcologyEctothermVertebratesAnimal FinsAnatomyPaleotemperatureResearch Article010506 paleontologyEndocrine DisordersActive modePaleontologiaBody sizeExtinction BiologicalModels Biological010603 evolutionary biologyGigantismOxygen ConsumptionmedicineAnimalsPaleoclimatologySwimming0105 earth and related environmental sciencesExtinctionBiological Locomotionlcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesPaleontologymedicine.diseasebiology.organism_classificationGigantismFishJawSharksEarth Scienceslcsh:QToothDigestive SystemHeadElasmobranchiiPLOS ONE
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Clutch-size variation in Western Palaearctic secondary hole-nesting passerine birds in relation to nest box design.

2014

Møller, A.P. [et al.]

0106 biological sciencesAvian clutch sizeNest box floor areahabitatNest boxmaterial010603 evolutionary biology01 natural sciences010605 ornithology[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentNestbiology.animalnest box materialNest boxBiologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSGeographic locationParus[SDV.EE]Life Sciences [q-bio]/Ecology environment[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyLatitudebiologyEcologyEcological Modeling[SDV.BA]Life Sciences [q-bio]/Animal biologylongitudeCyanistesFicedulanest box floor arealatitude15. Life on landbiology.organism_classificationBird nestPasserineHabitatChemistrySettore AGR/11 - Entomologia Generale E ApplicataLongitudegeographic locationinternational[SDE.BE]Environmental Sciences/Biodiversity and EcologyHole nesting natural holes nest boxes reaction norm
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A simple modelling of crop water balance for agrometeorological applications

1991

Abstract A simple agrometeorological model of crop water balance is presented. It aims at the best estimate possible of the water balance components with the simplest formulation and the minimum set of input data. The model works with a time step of one day and uses rainfall and the calculated evapotranspiration as the climatic inputs. Some soil and crop characteristics, such as the maximum available moisture and crop coefficients are required as input parameters. The model is tested using experimental data obtained on wheat and lucerne crops in the Paris region. The sensitivity of the model is discussed and some possible applications to rainfed crop management are presented.

0106 biological sciencesBILAN HYDRIQUEAgricultural engineeringTime step01 natural sciencesCropWater balanceSimple (abstract algebra)EvapotranspirationAGROMETEOROLOGIESensitivity (control systems)ComputingMilieux_MISCELLANEOUS2. Zero hungerMoistureEVAPOTRANSPIRATIONEcological Modeling04 agricultural and veterinary sciencesMODELISATIONCrop coefficient[SDE.BE] Environmental Sciences/Biodiversity and Ecology040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceRELATION SOL PLANTE[SDE.BE]Environmental Sciences/Biodiversity and Ecology010606 plant biology & botany
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