Search results for "Spatial"

showing 10 items of 2121 documents

Distribution spatiale de la diversité microbienne des sols à l’échelle du territoire national

2012

Le sol représente un exceptionnel réservoir de biodiversité microbienne tant en termes d’abondance et de richesse spécifique, qu’en termes de fonctions et de processus impliqués dans les flux de matière et d’énergie. Ce réservoir assure et supporte de nombreux services écosystémiques à la base de la durabilité des systèmes de production exploités par l’Homme. Cette grande biodiversité lui confère des capacités d’adaptation (résistance, résilience, redondance fonctionnelle,…) face aux activités anthropiques et aux changements globaux, et constitue ainsi une véritable assurance écologique pour l’Homme et ses moyens de production. Néanmoins, de nombreuses connaissances restent encore à acquéri…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesterritoire nationaléchelle[SDV]Life Sciences [q-bio][SDE]Environmental Sciencesdistribution spatialediversité microbienne des sols[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology
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Dynamiques spatio-temporelles de la vigne (Vitis vinifera) au cours de l’Holocène en France d’après les enregistrements archéobotaniques (graines et …

2021

International audience; Le vin joue un rôle économique et culturel capital depuis l’âge du Fer en France. Dès cette époque, la viticulture s’implante dans le Midi méditerranéen puis va progressivement se diffuser dans la zone tempérée. L’archéologie a bien montré à quel point le Haut-Empire romain représente une étape clé dans cette diffusion (Poux et al. 2011). Cependant, les différents marqueurs à disposition de l’archéologie culturelle et spatiale (aménagements, structures, mobiliers) sont généralement limités à des fenêtres chrono-géographiques particulières. Changeant en fonction du contexte technique, culturel et environnemental, aucun ne permet véritablement de suivre l’expansion de …

[SDV] Life Sciences [q-bio]analyse spatiale des donnéesVitis vinifera[SDV]Life Sciences [q-bio]diffusion[SHS] Humanities and Social Sciencesviticulture[SHS]Humanities and Social Sciences
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Designing ‘trait-based null model’ approaches to investigate community assembly mechanisms

2014

SPEEAECOLDURGEAPSIéquipe CAPA; During the last decade, many studies have addressed the signature of community assembly processes by assessing the deviation of a functional diversity pattern from that expected in null communities, using a randomization algorithm. The basic principle has been to compare the functional structure of a ‘local community’ with a set of randomly generated communities from a ‘regional species pool’. Specifically, it allows assessing the extent to which species constituting a community are functionally more or less similar than expected under the assumption of a random assembly, thus revealing the influence of assembly processes such as competition or environmental a…

[SDV] Life Sciences [q-bio]spatial scalefuntional diversityrandom community assembly[ SDV ] Life Sciences [q-bio]competitive dominance[SDV]Life Sciences [q-bio]null modellimiting similarityenvironmental filteringspecies pool
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Spatial distribution of ammonia-oxidizing bacteria and archaea across a 44-hectare farm related to ecosystem functioning

2011

Characterization of spatial patterns of functional microbial communities could facilitate the understanding of the relationships between the ecology of microbial communities, the biogeochemical processes they perform and the corresponding ecosystem functions. Because of the important role the ammonia-oxidizing bacteria (AOB) and archaea (AOA) have in nitrogen cycling and nitrate leaching, we explored the spatial distribution of their activity, abundance and community composition across a 44-ha large farm divided into an organic and an integrated farming system. The spatial patterns were mapped by geostatistical modeling and correlations to soil properties and ecosystem functioning in terms …

[SDV]Life Sciences [q-bio]SoilAbundance (ecology)Soil pHsoil microcosmPhylogenySoil Microbiologyabundanceagricultural soilEcologyBetaproteobacteriaAgricultureHydrogen-Ion Concentrationnitrificationnitrate leaching[SDE]Environmental Sciencesammonia oxidationcommunityOriginal ArticleSoil microbiologyOxidation-ReductionPolymorphism Restriction Fragment LengthDNA BacterialBiogeochemical cycleoxidationNitrogengrowthBiologypatternMicrobiologydiversityscaleAmmoniaEcosystemNitrogen cycleEcology Evolution Behavior and SystematicsEcosystemNitritesNitratesBacteriaSoil carbonSequence Analysis DNAArchaeaaobCarbonaoanitrite reductaseGenes BacterialSpatial ecologyamoa
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Environmental spillovers and their impacts on housing prices: A spatial hedonic analysis

2015

This paper investigates the spatial dimension of environmental factors on housing prices. We develop spatial hedonic models to estimate the implicit prices of various environmental attributes. The spatial dimension can be interpreted in terms of local or global spillovers. We conduct an empirical study in the Loire estuary (France). We focus on natural areas and more artificialized ones (ocean frontage, wetlands, rivers, and noisy roads). We show that, depending on the spatial model used, the implicit price is more than just the estimated coefficient value and combines both a feedback effect and a propagation effect.

[SDV]Life Sciences [q-bio]Valuation of Environmental Effects[SHS]Humanities and Social SciencesEmpirical researchSpatial SpilloversSpatial modelHousing Demand0502 economics and business11. SustainabilitySpatial Hedonic ModelsEconomicsEconometrics050207 economicsDimension (data warehouse)Public economics[ SDV ] Life Sciences [q-bio]05 social sciencesspillovers spatiauxDemandes des logements[SDV] Life Sciences [q-bio]13. Climate actionPolitical Science and International RelationsFeedback effectValue (economics)FrontagePropagation effect050202 agricultural economics & policymodèles hédoniques spatiauxÉvaluation des effets environnementaux
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Economies d'agglomération et configurations spatiales dans les espaces ruraux

1997

The question to be addressed here is that of the agglomeration/dispersion forces that are likely to account for the location of people and jobs in rural areas and the way they explain spatial patterns in rural areas depending on urban influence. Economic geography models may provide suitable tools with which to investigate the organization of rural areas. We first review these models, focusing on dispersion forces, which rest basically on land consumption and transport costs. We suggest then a set of hypotheses concerning the main forces at work in rural areas. Intensity of agglomeration economies is hypothesized to be related to the urban size, which in turn induces increasing land rents a…

[SDV]Life Sciences [q-bio]rural areasGeography Planning and Development0211 other engineering and technologies02 engineering and technologyrentes foncières[SHS]Humanities and Social Scienceséconomie géographiqueLOCALISATIONcommuting11. SustainabilityEconomics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesEconomic geography[SHS.ECO] Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUSmigrations alternantesmedia_commoneducation.field_of_studydensityEconomies of agglomeration05 social sciencesEconomic renttransport planning1. No poverty021107 urban & regional planningDiseconomies of scale[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDV] Life Sciences [q-bio]service locationspatial configuration8. Economic growth[SHS] Humanities and Social Sciences050703 geographyrural planningagglomeration economiesespaces rurauxeconomic geographyurban spreadmedia_common.quotation_subjectétalement urbainPopulation0507 social and economic geographyland rentsbassins d'emploiEnvironmental Science (miscellaneous)Environnement espace et sociétéurban planningUrban planningeducationTransportation planningeconomic theoryeconomicscountryside conservationSpatial ecologylabor market areasEconomic systemRural area
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Toward a socio-cognitive approach of spatial data co-production

2010

The abilities of territorial communities to understand and control their development in a sustainable and equitable way, depend on territorial information sharing. In this context, the paper intends to understand and analyse the issues of spatial data co-production process. It provides understanding and operation elements so that spatial data sharing can progressively evolve into geomatics learning networks, also termed "communities of practice". This communities of practice offer, in our view, one of the most important component of Territorial Intelligence

[SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnologycommunity of practicecommunauté de pratiqueréseau apprenant.[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.HISPHILSO ] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesco-production[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of Sciencesdonnée géographiquespatial dataintelligence territorialelearning networks.territorial intelligence
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L'organisation spatiale du plateau Saint-Marcel: Un habitat urbanisé de la fin du premier âge du Fer

2011

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryArchéologie[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryCôte-d'OrhabitatVixOrganisation spatiale
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La méthode HBDS : Hypergraph-Based Data Structure

2011

Présentation de la méthode pour de la modélisation géographique

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryGéomatiqueArchéologie[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryInformation spatialecartographiemodélisation spatialeSIGanalyse spatiale
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Observations of land use transformations during the Neolithic using exploratory spatial data analysis: contributions and limitations

2010

International audience; The settlement pattern analysis in archaeology implies some methodological questions. In this paper, we question some issues about the use of geostatistical methods for the observation of land use transformations during the Neolithic. We have developed two examples in Burgundy (France): the first one on a regional scale and the second one on a micro-regional scale. Using different ESDA approaches (Ripley’K function, Nearest Neighbour Distance, Kernel Density Estimation), we would like to underline what the methodological and archaeological contributions and their limits are. Both experiences point out that the results obtained depend not only on the analytical scale,…

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistorySettlement analysisSpatial patterns[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryRipley’K functionLand UseESDASpatial analysisNeolithicKernel Density Estimation Method
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