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  • 1
    In: Frontiers in Plant Science, Frontiers Media SA, Vol. 12 ( 2021-6-7)
    Abstract: Mountain environments are marked by an altitudinal zonation of habitat types. They are home to a multitude of terrestrial green algae, who have to cope with abiotic conditions specific to high elevation, e.g., high UV irradiance, alternating desiccation, rain and snow precipitations, extreme diurnal variations in temperature and chronic scarceness of nutrients. Even though photosynthetic green algae are primary producers colonizing open areas and potential markers of climate change, their overall biodiversity in the Alps has been poorly studied so far, in particular in soil, where algae have been shown to be key components of microbial communities. Here, we investigated whether the spatial distribution of green algae followed the altitudinal zonation of the Alps, based on the assumption that algae settle in their preferred habitats under the pressure of parameters correlated with elevation. We did so by focusing on selected representative elevational gradients at distant locations in the French Alps, where soil samples were collected at different depths. Soil was considered as either a potential natural habitat or temporary reservoir of algae. We showed that algal DNA represented a relatively low proportion of the overall eukaryotic diversity as measured by a universal Eukaryote marker. We designed two novel green algae metabarcoding markers to amplify the Chlorophyta phylum and its Chlorophyceae class, respectively. Using our newly developed markers, we showed that elevation was a strong correlate of species and genus level distribution. Altitudinal zonation was thus determined for about fifty species, with proposed accessions in reference databases. In particular, Planophila laetevirens and Bracteococcus ruber related species as well as the snow alga Sanguina genus were only found in soil starting at 2,000 m above sea level. Analysis of environmental and bioclimatic factors highlighted the importance of pH and nitrogen/carbon ratios in the vertical distribution in soil. Capacity to grow heterotrophically may determine the Trebouxiophyceae over Chlorophyceae ratio. The intensity of freezing events (freezing degree days), proved also determinant in Chlorophyceae distribution. Guidelines are discussed for future, more robust and precise analyses of environmental algal DNA in mountain ecosystems and address green algae species distribution and dynamics in response to environmental changes.
    Type of Medium: Online Resource
    ISSN: 1664-462X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2687947-5
    detail.hit.zdb_id: 2613694-6
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  • 2
    In: Frontiers in Ecology and Evolution, Frontiers Media SA, Vol. 11 ( 2023-7-12)
    Abstract: Connected landscapes can increase the effectiveness of protected areas by facilitating individual movement and gene flow between populations, thereby increasing the persistence of species even in fragmented habitats. Connectivity planning is often based on modeling connectivity for a limited number of species, i.e., “connectivity umbrellas”, which serve as surrogates for co-occurring species. Connectivity umbrellas are usually selected a priori , based on a few life history traits and often without evaluating other species. Methods We developed a quantitative method to identify connectivity umbrellas at multiple scales. We demonstrate the approach on the terrestrial large mammal community (24 species) in continental Europe at two scales: 13 geographic biomes and 36 ecoregions, and evaluate the interaction of landscape characteristics on the selection of connectivity umbrellas. Results We show that the number, identity, and attributes of connectivity umbrellas are sensitive to spatial scale and human influence on the landscape. Multiple species were selected as connectivity umbrellas in 92% of the geographic biomes (average of 4.15 species) and 83% of the ecoregions (average of 3.16 species). None of the 24 species evaluated is by itself an effective connectivity umbrella across its entire range. We identified significant interactions between species and landscape attributes. Species selected as connectivity umbrellas in regions with low human influence have higher mean body mass, larger home ranges, longer dispersal distances, smaller geographic ranges, occur at lower population densities, and are of higher conservation concern than connectivity umbrellas in more human-influenced regions. More species are required to meet connectivity targets in regions with high human influence (average of three species) in comparison to regions with low human influence (average of 1.67 species). Discussion We conclude that multiple species selected in relation to landscape scale and characteristics are essential to meet connectivity goals. Our approach enhances objectivity in selecting which and how many species are required for connectivity conservation and fosters well-informed decisions, that in turn benefit entire communities and ecosystems.
    Type of Medium: Online Resource
    ISSN: 2296-701X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2745634-1
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  • 3
    Online Resource
    Online Resource
    IOP Publishing ; 2017
    In:  Environmental Research Letters Vol. 12, No. 11 ( 2017-11-01), p. 114006-
    In: Environmental Research Letters, IOP Publishing, Vol. 12, No. 11 ( 2017-11-01), p. 114006-
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2017
    detail.hit.zdb_id: 2255379-4
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  • 4
    Online Resource
    Online Resource
    Pensoft Publishers ; 2012
    In:  NeoBiota Vol. 12 ( 2012-02-15), p. 25-40
    In: NeoBiota, Pensoft Publishers, Vol. 12 ( 2012-02-15), p. 25-40
    Type of Medium: Online Resource
    ISSN: 1314-2488 , 1619-0033
    Language: Unknown
    Publisher: Pensoft Publishers
    Publication Date: 2012
    detail.hit.zdb_id: 2628537-X
    SSG: 21
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  • 5
    Online Resource
    Online Resource
    Public Library of Science (PLoS) ; 2014
    In:  PLoS Currents ( 2014)
    In: PLoS Currents, Public Library of Science (PLoS), ( 2014)
    Type of Medium: Online Resource
    ISSN: 2157-3999
    Language: Unknown
    Publisher: Public Library of Science (PLoS)
    Publication Date: 2014
    detail.hit.zdb_id: 2583641-9
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  • 6
    In: Biodiversity Informatics, The University of Kansas, Vol. 17 ( 2022-03-06)
    Abstract: The field of distributional ecology has seen considerable recent attention, particularly surrounding the theory, protocols, and tools for Ecological Niche Modeling (ENM) or Species Distribution Modeling (SDM). Such analyses have grown steadily over the past two decades—including a maturation of relevant theory and key concepts—but methodological consensus has yet to be reached. In response, and following an online course taught in Spanish in 2018, we designed a comprehensive English-language course covering much of the underlying theory and methods currently applied in this broad field. Here, we summarize that course, ENM2020, and provide links by which resources produced for it can be accessed into the future. ENM2020 lasted 43 weeks, with presentations from 52 instructors, who engaged with 〉 2500 participants globally through 〉 14,000 hours of viewing and 〉 90,000 views of instructional video and question-and-answer sessions. Each major topic was introduced by an “Overview” talk, followed by more detailed lectures on subtopics. The hierarchical and modular format of the course permits updates, corrections, or alternative viewpoints, and generally facilitates revision and reuse, including the use of only the Overview lectures for introductory courses. All course materials are free and openly accessible (CC-BY license) to ensure these resources remain available to all interested in distributional ecology.
    Type of Medium: Online Resource
    ISSN: 1546-9735
    Language: Unknown
    Publisher: The University of Kansas
    Publication Date: 2022
    detail.hit.zdb_id: 2170647-5
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  • 7
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Ecology and Evolution Vol. 9 ( 2021-3-9)
    In: Frontiers in Ecology and Evolution, Frontiers Media SA, Vol. 9 ( 2021-3-9)
    Abstract: Modeling species distributions over space and time is one of the major research topics in both ecology and conservation biology. Joint Species Distribution models (JSDMs) have recently been introduced as a tool to better model community data, by inferring a residual covariance matrix between species, after accounting for species' response to the environment. However, these models are computationally demanding, even when latent factors, a common tool for dimension reduction, are used. To address this issue, Taylor-Rodriguez et al. ( 2017 ) proposed to use a Dirichlet process, a Bayesian nonparametric prior, to further reduce model dimension by clustering species in the residual covariance matrix. Here, we built on this approach to include a prior knowledge on the potential number of clusters, and instead used a Pitman–Yor process to address some critical limitations of the Dirichlet process. We therefore propose a framework that includes prior knowledge in the residual covariance matrix, providing a tool to analyze clusters of species that share the same residual associations with respect to other species. We applied our methodology to a case study of plant communities in a protected area of the French Alps (the Bauges Regional Park), and demonstrated that our extensions improve dimension reduction and reveal additional information from the residual covariance matrix, notably showing how the estimated clusters are compatible with plant traits, endorsing their importance in shaping communities.
    Type of Medium: Online Resource
    ISSN: 2296-701X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2745634-1
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Ecology and Evolution Vol. 10 ( 2022-2-28)
    In: Frontiers in Ecology and Evolution, Frontiers Media SA, Vol. 10 ( 2022-2-28)
    Type of Medium: Online Resource
    ISSN: 2296-701X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2745634-1
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  • 9
    Online Resource
    Online Resource
    Museum National D'Histoire Naturelle ; 2020
    In:  Naturae , No. 16 ( 2020-12-18)
    In: Naturae, Museum National D'Histoire Naturelle, , No. 16 ( 2020-12-18)
    Abstract: La compréhension et la prévision des conséquences des changements environnementaux mondiaux (changement climatique et d’affectation des terres, dépôts atmosphériques, invasions d’espèces exotiques) sur la biodiversité et le fonctionnement des écosystèmes figurent parmi les principaux thèmes de recherche scientifique. Le groupe régional d’experts sur le climat en région Sud Provence-Alpes-Côte d’Azur (GREC-SUD) a rapporté en 2018, une élévation des températures observées actuellement dans les Alpes deux fois plus importante que celle notée en plaine. Le suivi de ces processus est à privilégier dans les espaces protégés. La pérennité des parcs nationaux ainsi que la présence d’agents qualifiés sur le terrain sont autant d’éléments facilitant la mise en œuvre d’études opérationnelles sur ces territoires d’exception. Au travers de deux exemples développés au sein du Parc national des Écrins, nous présentons deux protocoles distincts ayant pour cadre l’étude des changements globaux et intégrant les Mollusques continentaux en tant qu’indicateur de ces évolutions. Le premier de ces dispositifs concerne la mise en place de transects altitudinaux permettant de caractériser les peuplements malacologiques (diversité spécifique et abondance) intégrés au sein de l’observatoire ORCHAMP.
    Type of Medium: Online Resource
    ISSN: 2553-8756
    Language: Unknown
    Publisher: Museum National D'Histoire Naturelle
    Publication Date: 2020
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