0000000000602467

AUTHOR

Aurélie Khimoun

showing 8 related works from this author

Can landscape resistance to gene flow be inferred by genetic distances? A simulation study to evaluate the performances of landscape surface optimiza…

2022

[SDE] Environmental Sciences
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Formes urbaines, connectivité des habitats et diversité génétique des aires urbaines européennes

2022

Ce rapport s’inscrit dans le cadre d’une étude ayant pour objectif de comprendre le lien entre lesformes urbaines et tissus urbains, la connectivité écologique des habitats au sein des aires urbaines et les réponses biologiques potentielles des espèces à ces environnements. Les réflexions initiées en 2019 lors du projet REFUGE financé par le CNRS et impliquant les laboratoires ThéMA (UMR 6049 - Université de Bourgogne Franche-Comté - CNRS, Besançon) et Biogéosciences (UMR 6282 - Université de Bourgogne Franche-Comté - CNRS, Dijon) se sont poursuivies au premier semestre 2022 et ont donné lieu à deux volets d’analyse complémentaires. Cette étude a été financée par l’entreprise ARP-Astrance e…

[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.EE] Life Sciences [q-bio]/Ecology environment[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/Geography
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Spatial segregation and realized niche shift during the parallel invasion of two olive subspecies in south-eastern Australia.

2015

12 pages; International audience; AimGreater understanding of the processes underlying biological invasions is required to determine and predict invasion risk. Two subspecies of olive (Olea europaea subsp. europaea and Olea europaea subsp. cuspidata) have been introduced into Australia from the Mediterranean Basin and southern Africa during the 19th century. Our aim was to determine to what extent the native environmental niches of these two olive subspecies explain the current spatial segregation of the subspecies in their non-native range. We also assessed whether niche shifts had occurred in the non-native range, and examined whether invasion was associated with increased or decreased oc…

0106 biological sciencesOccupancyNichebiological invasionsBiologySubspeciesSpatial distribution010603 evolutionary biology01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsRealized niche widthOlea europaeaEcology Evolution Behavior and SystematicsEcological niche[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologyEcology010604 marine biology & hydrobiologyNiche differentiationAustraliaNiche segregation15. Life on land[ SDV.EE.ECO ] Life Sciences [q-bio]/Ecology environment/Ecosystemssouthern Africaecological niche modellingMediterranean Basin[SDE.BE]Environmental Sciences/Biodiversity and Ecologyniche shift
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Using metabarcoding to reveal and quantify plant-pollinator interactions.

2016

AbstractGiven the ongoing decline of both pollinators and plants, it is crucial to implement effective methods to describe complex pollination networks across time and space in a comprehensive and high-throughput way. Here we tested if metabarcoding may circumvent the limits of conventional methodologies in detecting and quantifying plant-pollinator interactions. Metabarcoding experiments on pollen DNA mixtures described a positive relationship between the amounts of DNA from focal species and the number of trnL and ITS1 sequences yielded. The study of pollen loads of insects captured in plant communities revealed that as compared to the observation of visits, metabarcoding revealed 2.5 tim…

0106 biological sciences0301 basic medicineInsectaDNA PlantPollinationmedia_common.quotation_subjectInsectBiologymedicine.disease_cause010603 evolutionary biology01 natural sciencesArticle03 medical and health sciencesSpecies SpecificityPollinatorPollenmedicine[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsDNA Barcoding TaxonomicPollinationPlant Physiological Phenomenamedia_common[SDV.GEN]Life Sciences [q-bio]/Genetics[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyMultidisciplinaryCommunityEcologyPlant communitySequence Analysis DNAPlants15. Life on landEcological genetics030104 developmental biologyTaxonPollen[SDE.BE]Environmental Sciences/Biodiversity and Ecology[ SDV.GEN ] Life Sciences [q-bio]/Genetics[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Validating graph-based connectivity models using independent presence/absence and genetic datasets.

2022

[SDE.BE] Environmental Sciences/Biodiversity and Ecology
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Validation des modèles de connectivité issus de la théorie des graphes en utilisant des données génétiques

2021

National audience; Modéliser la connectivité fonctionnelle des habitats est déterminant pour la conservation de la biodiversité. Les graphes paysagers, en modélisant des taches d’habitat reliées par des chemins de dispersion potentiels, permettent de quantifier la connectivité du paysage. Si cette approche semble prometteuse, sa validité écologique reste à démontrer. Tester sa validité implique de confronter des données de connectivité issues d’un graphe à des données reflétant la dispersion des individus, telles que des données génétiques. Dans cet objectif, nous avons modélisé la connectivité de l’habitat d’une espèce d’oiseau forestière, la Paruline caféiette (Setophaga plumbea), en Guad…

[SDE.BE] Environmental Sciences/Biodiversity and EcologyModélisation écologiquegraphes paysagersconnectivité génétiqueconnectivité de l'habitat[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Validation of graph-based connectivity models using genetic data.

2022

Modelling the functional connectivity of habitats is crucial for biodiversity conservation. By modelling potential dispersal paths among habitat patches, landscape graphs are often used to quantify landscape connectivity. While this approach seems promising, it often lacks biological validation. To ensure its ecological relevance, we assessed the ability of connectivity metrics calculated from landscape graphs to predict population genetic structure that closely reflects the dispersal of individuals, and thus functional connectivity. We modelled the habitat network of a forest bird species (Plumbeous warbler, Setophaga plumbea) in Guadeloupe using three graphs constructed either from expert…

[SDE.BE] Environmental Sciences/Biodiversity and Ecology
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Raster maps for 29 environmental variables in three geographical regions

2015

Aim: Greater understanding of the processes underlying biological invasions is required to determine and predict invasion risk. Two subspecies of olive (Olea europaea subsp. europaea and Olea europaea subsp. cuspidata) have been introduced into Australia from the Mediterranean Basin and southern Africa during the 19th century. Our aim was to determine to what extent the native environmental niches of these two olive subspecies explain the current spatial segregation of the subspecies in their non-native range. We also assessed whether niche shifts had occurred in the non-native range, and examined whether invasion was associated with increased or decreased occupancy of niche space in the no…

File nameFile sizeUniform resource locator link to fileUniform resource locator/link to fileEarth System Research
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