Search results for "12"

showing 10 items of 15303 documents

Towards sustainable and multifunctional agriculture in farmland landscapes: Lessons from the integrative approach of a French LTSER platform

2018

International audience; Agriculture is currently facing unprecedented challenges: ensuring food, fiber and energy production in the face of global change, maintaining the economic performance of farmers and preserving natural resources such as biodiversity and associated key ecosystem services for sustainable agriculture. Addressing these challenges requires innovative landscape scale farming systems that account for changing economic and environmental targets. These novel agricultural systems need to be recognized, accepted and promoted by all stakeholders, including local residents, and supported by public policies. Agroecosystems should be considered as socio-ecological systems and alter…

0106 biological sciencesagroecologyEnvironmental Engineering[SHS.INFO]Humanities and Social Sciences/Library and information sciencesParticipatory action researchadaptive governance[SDV.BID]Life Sciences [q-bio]/Biodiversitysocio-ecological system010603 evolutionary biology01 natural sciencesstakeholders12. Responsible consumptionEcosystem servicesfood-web[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems11. SustainabilitySustainable agricultureCitizen scienceEnvironmental ChemistryWaste Management and DisposalAgroecologyEnvironmental planningComputingMilieux_MISCELLANEOUS2. Zero hunger[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][SHS.STAT]Humanities and Social Sciences/Methods and statisticsbusiness.industry[SDE.IE]Environmental Sciences/Environmental Engineering04 agricultural and veterinary sciences[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landPollutionNatural resource[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation6. Clean water13. Climate actionAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesSocio-ecological systemltser[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusiness[SHS.HIST]Humanities and Social Sciences/History
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Full spectra coloration and condition-dependent signaling in a skin-based carotenoid sexual ornament

2020

AbstractCarotenoid-based traits commonly act as condition-dependent signals of quality to both males and females. Such colors are typically quantified using summary metrics (e.g., redness) derived by partitioning measured reflectance spectra into blocks. However, perceived coloration is a product of the whole spectrum. Recently, new methods have quantified a range of environmental factors and their impact on reflection data at narrow wavebands across the whole spectrum. Using this approach, we modeled the reflectance of red integumentary eye combs displayed by male black grouse (Lyrurus tetrix) as a function of ornament size and variables related to male quality. We investigated the strengt…

0106 biological scienceschemistry.chemical_classificationC300 ZoologybiologyC182 EvolutionC120 Behavioural BiologyBlack grousebiology.organism_classification010603 evolutionary biology01 natural sciencesReflectivitySpectral line010605 ornithologychemistryAnimal Science and ZoologyBiological systemCarotenoidCondition dependentEcology Evolution Behavior and SystematicsBehavioral Ecology
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Ticket to spawn: Combining economic and genetic data to evaluate the effect of climate and demographic structure on spawning distribution in Atlantic…

2019

Abstract Climate warming and harvesting affect the dynamics of species across the globe through a multitude of mechanisms, including distribution changes. In fish, migrations to and distribution on spawning grounds are likely influenced by both climate warming and harvesting. The Northeast Arctic (NEA) cod (Gadus morhua) performs seasonal migrations from its feeding grounds in the Barents Sea to spawning grounds along the Norwegian coast. The distribution of cod between the spawning grounds has historically changed at decadal scales, mainly due to variable use of the northern and southern margins of the spawning area. Based on historical landing records, two major hypotheses have been put f…

0106 biological sciencesdemography010504 meteorology & atmospheric sciencesClimate ChangeFisheriesClimate change2306 Global and Planetary Change10125 Paleontological Institute and MuseumFish stock010603 evolutionary biology01 natural sciences2300 General Environmental Scienceddc:590spawning distributionGadusEnvironmental ChemistryAnimalsPrimary Research Article14. Life underwaterAtlantic Ocean0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal and Planetary ChangebiologyEcologyNorwayReproductionGlobal warmingbiology.organism_classificationPrimary Research ArticlesSpawn (biology)FisheryGeographyHabitatArctic560 Fossils & prehistoric lifeGadus morhua2304 Environmental Chemistrysize truncationgenetic dataeconomic dataAtlantic cod2303 EcologyAnimal DistributionGlobal change biology
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Resource use of wood-inhabiting fungi in different boreal forest types

2017

Generalist species are usually widespread and abundant, and thrive in heterogeneous environments. Specialists, in turn, are generally more restricted in their range, and benefit from more stable conditions. Therefore, increasing human-induced disturbance can have more negative effects on specialist than generalist species. We assessed the specialization of 77 wood-inhabiting fungal species across seven boreal forest types and different substratum qualities. A significantly higher number of specialist species was associated with herb-rich forests and afforested fields than with managed coniferous forests and wood pastures, the number of specialists associated with natural coniferous forests …

0106 biological sciencesgeneralist speciesEnvironmental changeRange (biology)ta1172Forest managementPlant Sciencemanaged forestBiologyGeneralist and specialist species010603 evolutionary biology01 natural sciencesspecialist speciessukupuuttoon kuoleminenlajitEcology Evolution Behavior and Systematicssopeutuminenhavumetsätuhanalaiset lajiterikoistuminenEcologyEcologyEcological Modelingcoarse woody debrisTaigaympäristönsuojelu15. Life on landta4112natural forestluonnon monimuotoisuusfine woody debrisHabitatDisturbance (ecology)ta1181Coarse woody debriscorticioidssienetorvakatympäristönmuutokset010606 plant biology & botanyFungal Ecology
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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Assessment of genetically modified maize 1507 × 59122 × MON810 × NK603 and subcombinations, for food and feed uses, under Regulation (EC) No 1829/200…

2017

In this opinion, the GMO Panelassessed the four-event stack maize 1507 x 59122 x MON810 x NK603 and its ten subcombinations, independently of their origin. The GMO Panelpreviously assessed the four single events combined in this four-event stack maize and five of their combinations and did not identify safety concerns. No new data on the single events or their previously assessed combinations leading to modification of the original conclusions were identified. Based on the molecular, agronomic, phenotypic and compositional characteristics, the combination of the single maize events and of the newly expressed proteins in the four-event stack maize did not give rise to food and feed safety or…

0106 biological sciencesmaïs[SDV]Life Sciences [q-bio]Veterinary (miscellaneous)ogmPlant Science010501 environmental sciencesBiology01 natural sciencesMicrobiologyProtein expression1507 x 59122 x MON810 x NK603Environmental safety[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringinsect resistant and herbicide tolerantmaize (Zea mays)0105 earth and related environmental sciences2. Zero hungerGenetically modified maizeGMO;maize (Zea mays);1507 x 59122 x MON810 x NK603;insect resistant and herbicide tolerant;Regulation (EC) No 1829/2003GMObusiness.industryRegulation (EC) No 1829/2003BiotechnologyScientific OpinionAgronomyRegulation (EC) No1829/2003Animal Science and ZoologyParasitology1507 × 59122 ×  MON810 ×  NK603businessRegulation (EC) No 1829/2003010606 plant biology & botanyFood ScienceEFSA Journal
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Effects of local forest continuity on the diversity of fungi on standing dead pines

2018

Human-induced fragmentation affects forest continuity, i.e. availability of a suitable habitat for the target species over a time period. The dependence of wood-inhabiting fungi on landscape level continuity has been well demonstrated, but the importance of local continuity has remained controversial. In this study, we explored the effects of local forest continuity (microhabitat and stand level) on the diversity of wood-inhabiting fungi on standing dead trunks of Scots pine (Pinus sylvestris L.). We studied species richness and community composition of decomposers and Micarea lichens on 70 trunks in 14 forests in central Finland that differed in their state of continuity. We used dendrochr…

0106 biological sciencesmäntykelopuutPinus sylvestris L.Management Monitoring Policy and Law010603 evolutionary biology01 natural sciencesDecomposerPinus sylvestrisL.MicareaBOREAL FORESTSdecomposerEPIPHYTIC LICHENSmicrohabitat continuityLichenNature and Landscape ConservationFragmentation (reproduction)4112 ForestryHabitat fragmentationbiologyjäkälätEcologyWOOD-INHABITING FUNGISPECIES RICHNESSdead wood continuityCONIFEROUS FORESTSSOUTHERN SWEDENta1183metsäekologiaTaigaScots pineForestry15. Life on landta4112biology.organism_classificationPICEA-ABIESlahottajasienetbiodiversiteettistand continuityGeographyHABITAT FRAGMENTATIONHabitatta1181ECOLOGICAL CONTINUITYSpecies richnesstyynyjäkälätDANISH BEECH-FORESTS010606 plant biology & botanyForest Ecology and Management
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The flex end-to-end simulator: From concept phase (A/B1) to ground segment and operations (C/D)

2018

ESA's FLEX/Sentinel-3 tandem mission aims at mapping Sun-induced fluorescence (SIF) as a proxy to quantify photosynthetic activity of terrestrial vegetation. Due to the complexity of the mission concept and stringent requirements for the data processing algorithms, ESA developed a Phase A/B1 End-to-End Mission Performance Simulator (E2ES) tool to reproduce the expected mission performance and check the mission and instrument concepts. In the current Phase C/D, the E2ES concept must evolve to consolidate the whole data processing chain, providing an accurate figures of the whole mission error budget and serving as a roadmap for the future development of FLEX Ground Segment. This paper gives …

0106 biological sciencesproductivityComputer scienceFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE0211 other engineering and technologiesGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA02 engineering and technologyMission simulator01 natural sciencesFLEXremote sensingEnd-to-end principleHyperspectralvegetationSun-induced chlorophyll fluorescenceSoftware designRadiometryFLEXfluorescenceGround segmentSentinel-3Simulation010606 plant biology & botany021101 geological & geomatics engineering
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Extending Joint Models in Community Ecology : A Response to Beissinger et al.

2016

The joint modelling of many variables in community ecology is a new and technically challenging area with many opportunities for future developments. The possibility of extending joint models to deal with imperfect detection has been highlighted by Beissinger et al. as an important problem worthy of further investigation [1]. We agree, and previously pointed to this potential extension as an outstanding question [2], alongside models that can estimate phylogenetic repulsion or attraction, nonlinearity in the response to latent variables, and spatial or temporal correlation, because further developments in all these directions are needed.

0106 biological sciencesta112CommunityComputer science010604 marine biology & hydrobiologyjoint modelsLatent variableTemporal correlation010603 evolutionary biology01 natural sciencesExtension (metaphysics)EconometricsImperfectJoint (geology)Ecology Evolution Behavior and Systematicscommunity ecologyTrends in Ecology and Evolution
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