Search results for "CAPE"

showing 10 items of 1938 documents

Le paysage comme représentation spaciale : le paysage viticole comme symbole des indications de provenance des vins des régions Vale dos Vinhedos, Pi…

2011

The theme of this thesis is the landscape in its specificity vineyard analyzed as a spatial representation in the building process of the geographical area of viticulture growing and the use of image of vineyard landscape as spatial landscape of the wine of the regions of Geographical Indication (GI’s) Vale dos Vinhedos, Pinto Bandeira and Monte Belo, Brazil. The objective was to explain the use of vineyard landscape as spatial representation and the images of vineyard landscape as spatial symbol for the wines of GI’s. The theoretical sources to analyze are related to the Critical geography and with the Cultural geography. The organization of the geographic area of the regions of GI’s comes…

[ SHS.HIST ] Humanities and Social Sciences/History[SDU.STU]Sciences of the Universe [physics]/Earth Sciences[ SDU.STU ] Sciences of the Universe [physics]/Earth SciencesPinto BandeiraReprésentation SpacialeVineyard landscapeRepresentation of space[SHS.HIST] Humanities and Social Sciences/HistoryIndications de provenance[SDU.STU] Sciences of the Universe [physics]/Earth SciencesPaysage ViticoleRegionVale dos VinhedosGeographical indication[SHS.HIST]Humanities and Social Sciences/HistoryMonte Belo
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A spatially explicit model to simulate soil microbial communities’ dynamics at an agricultural landscape scale

2021

Soil microorganisms play a major role in soil functions and are an efficient indicator to evaluate the impact of agricultural practices on soil quality. Biogeographical studies over wide scales ranging from landscape to countries have concluded that soil microbial abundance and soil prokaryotic richness is following a heterogeneous distribution in space under the dependence of soil properties (e.g. pH, soil texture, organic matter content) and agricultural practices. The goal of this study is the creation of a model that can predict dynamics of soil microbial communities depending on the agricultural management over time. For this, we focus on a monitored landscape (Fénay landscape, 1.200 h…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Agent-based modelAgricultural landscapeParticipatory[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSoil microbial communities
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Expanding genetic graphs' potential to analyse ecological connectivity: assessment of graphs construction methods

2019

International audience; Dispersal movements are often constrained in human-shaped landscapes, thereby threatening species survival. Landscape genetics approaches are commonly used to analyse ecological connectivity because genetic data well reflect dispersal capacities. When species occupy discrete habitat patches, graph-theoretic methods are a particularly relevant approach to study dispersal-driven gene flow. The links of a genetic graph can be weighted using different genetic distances between populations (nodes). Similarly, graph pruning (link set selection) can rely on different criteria. However, despite growing interest in genetic graphs, the influence of these parameters remains mos…

[SDE.BE] Environmental Sciences/Biodiversity and EcologyGraph theory[SHS.GEO] Humanities and Social Sciences/GeographyEcological connectivityDispersal[SHS.GEO]Humanities and Social Sciences/Geography[SDE.BE]Environmental Sciences/Biodiversity and EcologyQuantitative Biology::GenomicsLandscape geneticsSimulationGene flow
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Quand et comment utiliser les graphes génétiques pour analyser la connectivité écologique dans des paysages hétérogènes ?

2019

National audience; Lorsque les espèces occupent des taches d’habitat au sein de paysages hétérogènes, la connectivité écologique est influencée par la topologie du réseau de populations qu’elles forment. Dans ce contexte, les méthodes basées sur les graphes génétiques permettent i) de révéler cette topologie en identifiant les chemins de dispersion directs et ii) de quantifier la résistance des éléments paysagers à la dispersion. Compte-tenu de l’intérêt croissant pour ces méthodes en génétique du paysage, il est nécessaire de mieux comprendre quand et comment il faut utiliser les graphes génétiques. Pour cela, nous avons simulé le flux génétique entre 50 populations dans différents paysage…

[SDE.BE] Environmental Sciences/Biodiversity and EcologyThéorie des graphesdispersion[SDE.BE]Environmental Sciences/Biodiversity and EcologysimulationLandscape geneticsConnectivité écologique
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A multispecies approach for modeling the ecological impact of urban development using landscape graphs

2013

International audience; Managing urban sprawl is become a major concern in the field of landscape ecology, since the land use changes involved by urban development may affect the ability of wildlife species to move across the landscape. In order to compare the ecological impact of several urban patterns, we aim at combining two complementary approaches: 1) Simulations of residential development from an initial land use map, using morphological rules of urban development (i.e. fractal vs non fractal) and accessibility constraints; 2) Models of ecological networks applied to a given natural habitat, using a landscape graphs-based approach. As landscape graphs are built according to the moving…

[SDE.BE] Environmental Sciences/Biodiversity and Ecology[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologylandscape graphlandscape ecologyurban growthmultispecies approach[SHS.GEO] Humanities and Social Sciences/Geographyconnectivity[SHS.GEO]Humanities and Social Sciences/Geography[SDE.BE]Environmental Sciences/Biodiversity and Ecologyecological network[ SHS.GEO ] Humanities and Social Sciences/Geography
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Quand et comment utiliser des graphes génétiques pour analyser le flux génétique dans des paysages hétérogènes ?

2019

La connectivité écologique des habitats dépend de la topologie du réseau formé par les populations qui les occupent. Les graphes génétiques permettent i) d’identifier les chemins de dispersion directs en révélant cette topologie et ii) de quantifier la résistance des éléments paysagers à la dispersion. Nous avons étudié comment l’équilibre migration-dérive affecte les choix de construction de ces graphes et les inférences qui en découlent. Nous avons simulé le flux génétique entre 50 populations dans différents paysages et construit des graphes pondérés avec plusieurs distances génétiques et élagués selon différents critères. Nous avons ensuite comparé la capacité de ces graphes à i) représ…

[SDE.BE] Environmental Sciences/Biodiversity and Ecology[SHS.GEO] Humanities and Social Sciences/GeographyThéorie des graphes[SHS.GEO]Humanities and Social Sciences/GeographyDispersion[SDE.BE]Environmental Sciences/Biodiversity and Ecologyconnectivité écologiqueLandscape geneticsSimulation
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Inférence de la résistance du paysage au flux de gènes à l'aide de modèles gravitaires intégrant des variables intra-populationnelles

2021

International audience; Modéliser les mouvements de dispersion nécessite d'associer aux éléments paysagers des valeurs de coût caractérisant leur résistance aux déplacements. En landscape genetics, l'inférence de ces valeurs se fait à partir de mesures de différenciation génétique entre populations. Bien que l'hétérogénéité spatiale des tailles de populations puisse aussi influencer de façon significative la différenciation génétique, les variables intra-populationnelles sont rarement prises en compte dans ce type d'inférence. Nous avons étudié à quel point la prise en compte de ces variables pouvait améliorer l'inférence des coûts. Pour cela, nous avons simulé des flux de gènes entre 60 po…

[SDE.BE] Environmental Sciences/Biodiversity and Ecologyflux de gènesconnectivité du paysagelandscape geneticsstatistique spatiale[SDE.BE]Environmental Sciences/Biodiversity and Ecologymodèles gravitaires
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Graphab: A software dedicated to the modelling of landscape networks

2016

International audience; Land cover changes resulting from urban sprawl, transport network intensification and agricultural changes contribute to fragment wildlife habitats and may lead to question viability of animal and plant populations. Landscape ecologists have shown that populations living in fragmented habitats are forced to adopt specific dynamics (patchy populations or metapopulations) making them highly dependent on fluxes between their habitat patches. Landscape connectivity may be defined as the functional response of a given species in terms of movement and individual fluxes to the potential links between habitat patches provided by the landscape structure.Many methods are used …

[SDE.BE] Environmental Sciences/Biodiversity and Ecologymodelling[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.EE] Life Sciences [q-bio]/Ecology environment[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologygraphablandscape connectivity[SDE.BE]Environmental Sciences/Biodiversity and Ecologyecological network[ SDV.EE ] Life Sciences [q-bio]/Ecology environment
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CeLL, an agent based model for exploring the spatial influence influence of climate change on Lobesia botrana population dynamics

2016

International audience; The European Grapevine moth (Lobesia botrana) is one of the most noxious vineyard-pests in the European and Mediterranean area. Its larvae feed on grapevine flowers and berries, and usually cause considerable damage, also by facilitating saphrophytic infections to berries.The biology of L. botrana has been investigated since the 80s. A number of studies has tested its physiology and behaviour in experimental conditions (Hurtrel et Thiéry 1999), in field conditions (Stockel et al. 1994), and using mathematical modelling techniques. Whereas the modelling approaches that have been proposed in the literature are hetereogeneus they generally focus on the phenology and pop…

[SDE.MCG]Environmental Sciences/Global Changes[SHS.GEO] Humanities and Social Sciences/GeographyAgriculture[SHS.GEO]Humanities and Social Sciences/GeographyVineyard landscape[ SHS.GEO ] Humanities and Social Sciences/Geography[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDV.EE.BIO] Life Sciences [q-bio]/Ecology environment/BioclimatologyLobesia botranaAgent based modeling[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.BIO ] Life Sciences [q-bio]/Ecology environment/Bioclimatology[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/Bioclimatology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Determinants of the distribution of nitrogen-cycling microbial communities at the landscape-scale

2010

Little information is available regarding the landscape-scale distribution of microbial communities and its environmental determinants. However, a landscape perspective is needed to understand the relative importance of local and regional factors and land management for the microbial communities. In this manuscript, we investigated the distribution of functional microbial communities involved in N-cycling and of the total bacterial and crenarchaeal communities over 107 sites using a grid with a 16 km lag distance within Burgundy, a 31 500 km2 region in France. After quantifying the abundances of the total bacterial, crenarchaeal, nitrate-reducing, denitrifying and ammonia-oxidizing communit…

[SDE] Environmental SciencesBIOGEOCHEMICAL CYCLING[SDV]Life Sciences [q-bio]DENITRIFIERSNITRATE REDUCERSSoilAbundance (ecology)RNA Ribosomal 16SNITROGEN CYCLEAMMONIA OXIDIZERSMICROBIAL COMMUNITIESSoil MicrobiologyComputingMilieux_MISCELLANEOUS0303 health sciencesEcologyGEOMORPHOLOGIE04 agricultural and veterinary sciencesnitrate reducerSpatial heterogeneity[SDV] Life Sciences [q-bio][SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology[SDE]Environmental SciencesOriginal ArticleFrancelandscape;nitrogen cycle;denitrifier;ammonia oxidizer;nitrate reducer;biogeographyNitrogenBiologyQUANTITATIVE PCRSpatial distributionBacterial Physiological PhenomenaMicrobiology03 medical and health sciencesMicrobial ecologyEcosystemSpatial analysisEcology Evolution Behavior and Systematics030304 developmental biology[ SDV ] Life Sciences [q-bio]LANDSCAPEBacteriaCrenarchaeotaLANDSCAPE-SCALE15. Life on landammonia oxidizerdenitrifier13. Climate action040103 agronomy & agricultureSpatial ecology0401 agriculture forestry and fisheriesECOSYSTEMSpatial variabilityNITROGEN-CYCLINGBIOGEOGRAPHY
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