Search results for "decision"

showing 10 items of 2091 documents

A new tool for the assessment of severe anthropogenic eutrophication in small shallow water bodies

2017

Abstract Unlike in deep stratified lakes, the assessment of eutrophication in shallow aquatic systems (i.e., wetlands, marshes, ponds) should be based on the interaction between water and sediment. The availability of P to primary producers is naturally higher in shallow systems, because the sediment plays an active part via adsorption, precipitation and release processes. Thus, many wetlands in protected areas are naturally eutrophic and have a high trophic status due to intrinsic features and thus, display a high concentration of total-P in the water without necessarily implying pollution or poor quality. We have provided a diagnostic tool based on the chemical equilibrium of dissolved re…

0106 biological sciencesHydrologyPollutiongeographygeography.geographical_feature_categoryMarshEcologyPrimary producersEcology010604 marine biology & hydrobiologyAquatic ecosystemmedia_common.quotation_subjectGeneral Decision SciencesSedimentWetland010501 environmental sciences01 natural sciencesWaves and shallow waterEnvironmental scienceEutrophicationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_commonEcological Indicators
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Does air pollution influence the success of species translocation? Trace elements, ultrastructure and photosynthetic performances in transplants of a…

2020

Abstract Species translocation can be considered as a primary conservation strategy with reference to in situ conservation. In the case of lichens, translocations often risk to fail due stress factors associated with unsuitable receptor sites. Considering the bioecological characteristics of lichens, air pollution is among the most limiting stress factors. In this study, the forest macrolichen Lobaria pulmonaria was used as a model to test the hypothesis that the translocation of sensitive lichens is effective only in unpolluted environments. At purpose, 500 fragments or whole thalli were translocated in selected beech forests of Central Europe (the Western Carpathians, Slovakia) where the …

0106 biological sciencesIn situ conservationIn situ conservationBeech forest; Chlorophyll fluorescence; In situ conservation; Lobaria pulmonaria; Mediterranean oak forest; Western CarpathiansGeneral Decision SciencesLobaria pulmonariaWestern CarpathiansChromosomal translocation010501 environmental sciences010603 evolutionary biology01 natural sciencesLichenBeechEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesLobaria pulmonariaEcologybiologyEcologySpecies translocationbiology.organism_classificationThallusMediterranean oak forestBeech forestThreatened speciesChlorophyll fluorescence
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Modelling the European Farmland Bird Indicator in response to forecast land-use change in Europe

2011

International audience; The European Farmland Bird Indicator (EFBI) has been adopted as a Structural and Sustainable Development Indicator by the European Union. It is an aggregated index integrating the population trends of 33 common bird species associated with farmland habitats across 21 countries. We describe a modelling method for predicting this indicator from land-use characteristics. Using yearly historical land-use data of crop areas derived from the FAO databases (1990–2007) and published population data of farmland birds at the national level for the same period, we developed a series of multiple regression models to predict the trend of the EU state specific indicator, and the E…

0106 biological sciencesIndex (economics)010504 meteorology & atmospheric sciencesEnvironmental changePopulationGeneral Decision Sciences010603 evolutionary biology01 natural sciencesEnvironmental protectionBIRD POPULATIONSmedia_common.cataloged_instanceLand use land-use change and forestryEuropean unioneducationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesmedia_common2. Zero hungerSustainable developmenteducation.field_of_studyEcologyEFFET SUR L'ENVIRONNEMENTbusiness.industryEnvironmental resource managementRegression analysis15. Life on landENVIRONMENTAL CHANGEGeographyAgriculturePOPULATION TRENDS[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness
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A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

2020

The European spruce bark beetle Ips typographus L. causes significant economic losses in managed coniferous forests in Central and Northern Europe. New infestations either occur in previously undisturbed forest stands (i.e., spot initiation) or depend on proximity to previous years’ infestations (i.e., spot spreading). Early identification of newly infested trees over the forested landscape limits the effective control measures. Accurate forecasting of the spread of bark beetle infestation is crucial to plan efficient sanitation felling of infested trees and prevent further propagation of beetle-induced tree mortality. We created a predictive model of subsequent year spot initiation and spo…

0106 biological sciencesIps typographusDecision support systemBark beetlemedicine.disease_causeFelling01 natural sciencesgisbark beetle infestationSatellite dataInfestationmedicinelcsh:ForestryDigital elevation modelNature and Landscape ConservationkovakuoriaisetEcologybiologyForestryForestryNorway Spruce04 agricultural and veterinary sciencesVegetationspatial predictive modelbiology.organism_classificationGISroc curvemetsäekosysteemitGeographyROC Curvenorway spruce040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:SD1-669.5010606 plant biology & botany
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LTSER platforms as a place-based transdisciplinary research infrastructure: learning landscape approach through evaluation

2019

Context: Place-based transdisciplinary research involves multiple academic disciplines and non-academic actors. Long-Term Socio-Ecological Research (LTSER) platform is one concept with ~ 80 initiatives globally. Objectives: As an exercise in learning through evaluation we audited (1) the siting, construction and maintenance of individual LTSER platforms, and (2) them as a distributed infrastructure for place-based transdisciplinary research with focus on the European continent. Methods: First, we defined a normative model for ideal performance at both platform and network levels. Second, four surveys were sent out to the 67 self-reported LTSER platforms officially listed at the end of 2016.…

0106 biological sciencesLANDLearning through evaluationSocial-ecological systemGeography Planning and DevelopmentCONSERVATIONStakeholder engagementECOSYSTEM SERVICES010603 evolutionary biology01 natural sciencesStakeholder engagementEcosystem servicesNormative model of decision-makingSettore BIO/07 - ECOLOGIA11. SustainabilityMANAGEMENTSOCIAL-ECOLOGICAL SYSTEMSBIOSPHERE RESERVESTransdisciplinary researchNature and Landscape ConservationSustainable developmentEcologybusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementSCIENCE15. Life on landFORESTSocial–ecological systemEuropeGeographySocial system1181 Ecology evolutionary biology[SDE]Environmental SciencesSustainabilityLandscape approachBIODIVERSITYSCALESLandscape ecologybusinessDiscipline
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Why do house-hunting ants recruit in both directions?

2007

8 pages; International audience; To perform tasks, organisms often use multiple procedures. Explaining the breadth of such behavioural repertoires is not always straightforward. During house hunting, colonies of Temnothorax albipennis ants use a range of behaviours to organise their emigrations. In particular, the ants use tandem running to recruit na? ants to potential nest sites. Initially, they use forward tandem runs (FTRs) in which one leader takes a single follower along the route from the old nest to the new one. Later, they use reverse tandem runs (RTRs) in the opposite direction. Tandem runs are used to teach active ants the route between the nests, so that they can be involved qui…

0106 biological sciencesMESH: Decision MakingOperations researchTemnothorax albipennisMESH : Social BehaviorTandem runningSocial insectsMESH : Behavior Animal01 natural sciencesNesting BehaviorNestMESH : EcosystemMESH: Behavior Animal[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisMESH: AnimalsMESH: EcosystemMESH: Nesting BehaviorRecruitment methodsMESH: Models Theoretical0303 health sciencesBehavior AnimalbiologyEcologyGeneral MedicineMESH : AntsCollective behaviourMESH: Social BehaviorTandem runningMESH: Population DensityDecision MakingMESH: AntsMESH : Nesting Behavior010603 evolutionary biology03 medical and health sciencesAnimalsTemnothorax albipennisMESH : Population DensitySocial BehaviorSet (psychology)EcosystemEcology Evolution Behavior and Systematics030304 developmental biologyPopulation DensityOriginal PaperAntsMESH : Models TheoreticalModels TheoreticalRecruitment methodsbiology.organism_classificationMESH : Decision MakingMESH : Animals[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Reciprocal extrapolation of species distribution models between two islands – Specialists perform better than generalists and geological data reduces…

2020

Abstract This study aims to test the extrapolation effects of species distribution models (SDM) using three groups of predictor variables: climate, relief and geology (bedrock type). We highlight potential ecological differences for selected taxa, regarding both generalists and specialists in terms of edaphic conditions. We used distributional data of 12 woody species shared by two large Mediterranean islands (Crete and Sicily) to calibrate Maxent models of their potential distribution. We trained models with data from Crete and extrapolated to Sicily and vice versa. We tested ten proxies for the three variable groups and compared AUC values as a measure of model performance. Extrapolation …

0106 biological sciencesMaquisPlant recordsSpecies distributionExtrapolationExtrapolationGeneral Decision SciencesMediterranean islands010501 environmental sciencesGeneralist and specialist species010603 evolutionary biology01 natural sciencesSpecies distribution modelsSicilyEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryEcologyBedrockWoody plantsEdaphicSpecies distribution modelGeology15. Life on landPlant recordCreteMediterranean islandMaquiTaxon13. Climate actionSettore BIO/03 - Botanica Ambientale E ApplicataMediterranean ecosystemPhysical geographyMaxentMediterranean IslandsReciprocal
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The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier’s beaked whales in the Mediterrane…

2018

We are grateful to the ACCOBAMS Secretariat for their support in this work, including a small grant for the analysis. The Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different …

0106 biological sciencesMediterranean climateCorrection factor:Cuvier's beaked whalesQH301 BiologyDensity surface modellingPopulationNDASGeneral Decision Sciences[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]ConservationSea stateDistribution010603 evolutionary biology01 natural sciencesMediterranean BasinQH301Beaked whaleMediterranean seaAbundanceAbundance (ecology)SDG 14 - Life Below Water14. Life underwatereducationEcology Evolution Behavior and SystematicsGCeducation.field_of_studyEcologybiology010604 marine biology & hydrobiologybiology.organism_classificationCuvier’s beaked whalesZiphius cavirostrisFisheryOceanographyGeography13. Climate actionMediterranean seaGC OceanographyEcological Indicators
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Assessment of surface sediment dynamics and response of benthic macrofauna assemblages in Boughrara Lagoon (SW Mediterranean Sea)

2016

International audience; A study was conducted in the spring of 2009, the winters of 2010 and 2013, and in the summer of 2012 at 13 stations in Boughrara Lagoon, Tunisia (southern Mediterranean). The country’s largest lagoon, it is considered to be an anthropogenically stressed area, though a major tourist centre—Djerba Island—is located along its northern shores. The lagoon bottoms were studied via analyses of grain size, surface sediment composition, total organic matter (TOM) and through the trophic and functional organisation of benthic macrofauna. The results indicate that the bottoms are composed of fine, medium or coarse sands and that sediment distribution is controlled by water move…

0106 biological sciencesMediterranean climateGeneral Decision SciencesBenthic macrofauna010501 environmental sciences01 natural sciences[ SDE ] Environmental SciencesMediterranean seaEcosystem14. Life underwaterEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesTrophic levelEcologyEcology010604 marine biology & hydrobiologyDetritivoreSedimentTotal organic matterParticle sizeSediment dynamicsTrophic structureBioindicationHabitat13. Climate actionBenthic zone[SDE]Environmental SciencesEnvironmental science
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The analysis of convergence in ecological indicators: An application to the Mediterranean fisheries

2017

9 pages, 4 figures, 3 tables

0106 biological sciencesMediterranean climateIndex (economics)[SDE.MCG]Environmental Sciences/Global ChangesFishingGeneral Decision SciencesTransition probability matrix;Sede Central IEOtMediterranean sea010603 evolutionary biology01 natural sciencesEcological indicatorsMediterranean sea[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcosystem approach to fisheries managemenConvergence analysisMediterranean SeaEcosystemEcosystem approach to fisheries management14. Life underwaterEcology Evolution Behavior and SystematicsTrophic levelEstimationEcologybusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementTransition probability matrixFisheryEcological indicatorGeographyNon-parametric density estimation[SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness
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