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7 results on '"Ghislaine Monet"'

1. The Observatory on LAkes (OLA) database: Sixty years of environmental data accessible to the public

Author

Frédéric Rimet, Orlane Anneville, Denis Barbet, Cécile Chardon, Laura Crépin, Isabelle Domaizon, Jean-Marcel Dorioz, Laurent Espinat, Victor Frossard, Jean Guillard, Chloé Goulon, Valérie Hamelet, Jean-Christophe Hustache, Stéphan Jacquet, Leslie Lainé, Bernard Montuelle, Pascal Perney, Philippe Quetin, Serena Rasconi, Antoine Schellenberger, Viet Tran-Khac, and Ghislaine Monet

Subjects
physico-chemical parameters, phytoplankton, zooplankton, eutrophication, transparency, climate change, Geography. Anthropology. Recreation, Physical geography, GB3-5030, Environmental sciences, GE1-350
Abstract

Lakes are essential ecosystems that provide a large number of ecosystem services whose quality is strongly impacted by human pressures. Optimal uses of lakes require adapted management practices which in turn rely on physico-chemical and biological monitoring. Long-term ecological monitoring provides large sets of environmental data. When such data are available, they have to be associated to metadata and to be stored properly to be accessible and useable by the scientific community. We present a data informatics system accessible to anyone who requests it. Maintained online since 2014 (https://si-ola.inrae.fr), it is originated from the Observatory on LAkes (OLA). It contains long-term data from 4 peri-alpine lakes (Lakes Aiguebelette, Annecy, Bourget, Geneva/Léman) and 24 high-altitude lakes of the northern French Alps. We describe the generated long-term data series, the data type, the methodologies and quality control procedures, and the information system where data are made accessible. Data use is allowed under the condition of providing reference to the original source. We show here how such a platform clearly enhances data sharing and scientific collaboration. Various studies referring to these data are regularly published in peer-reviewed journals; providing in fine a better understanding of lakes’ ecosystems functioning under local and global pressures.

Published
2020
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3. Developing semantic interoperability in ecosystem studies: semantic modelling and annotation for FAIR data production

Author

Christian Pichot, Nicolas Beudez, Cécile Callou, André Chanzy, Alyssa Clavreul, Philippe Clastre, Benjamin Jaillet, François Lafolie, Jean-François Le Galliard, Chloé Martin, Florent Massol, Damien Maurice, Nicolas Moitrier, Ghislaine Monet, Hélène Raynal, Antoine Schellenberger, and Rachid Yahiaoui

Abstract

The study of ecosystem characteristics and functioning requires multidisciplinary approaches and mobilises multiple research teams. Data are collected or computed in large quantity but are most often poorly standardised and therefore heterogeneous. In this context the development of semantic interoperability is a major challenge for the sharing and reuse of these data. This objective is implemented within the framework of the AnaEE (Analysis and Experimentation on Ecosystems) Research Infrastructure dedicated to experimentation on ecosystems and biodiversity. A distributed Information System (IS) is developed, based on the semantic interoperability of its components using common vocabularies (AnaeeThes thesaurus and OBOE-based ontology extended for disciplinary needs) for modelling observations and their experimental context. The modelling covers the measured variables, the different components of the experimental context, from sensor and plot to network. It consists in the atomic decomposition of the observations, identifying the observed entities, their characteristics and qualification, naming standards and measurement units. This modelling allows the semantic annotation of relational databases and flat files for the production of graph databases. A first pipeline is developed for the automation of the annotation process and the production of the semantic data, annotation that may represent a huge conceptual and practical work without such automation. A second pipeline is devoted to the exploitation of these semantic data through the generation i) of standardized GeoDCAT and ISO metadata records and ii) of data files (NetCDF format) from selected perimeters (experimental sites, years, experimental factors, measured variables...). Carried out on all the data generated by the experimental platforms, this practice will produce semantically interoperable data that meets the linked opendata standards. The work carried out contributes to the development and use of semantic vocabularies within the ecology research community. The genericity of the tools make them usable in different contexts of ontologies and databases.

Published
2022

4. Long-term chloride concentrations in north american and european freshwater lakes

Author

Hamdi Jarjanazi, Paul C. Hanson, Samantha M. Burke, János Korponai, Jonathan P. Doubek, Michela Rogora, Kathleen C. Weathers, Lauri Arvola, Andreas Kleeberg, Sarah L. Bartlett, Jamie C. Summers, Karen Moore, Flora E. Krivak-Tetley, Ghislaine Monet, Hilary A. Dugan, Don Monteith, Nicholas K. Skaff, Center for Limnology, University of Wisconsin-Madison, Cary Institute of Ecosystem Studies, Queen's University, Department of Fisheries and Wildlife, Oregon State University (OSU), Department of Biological Sciences, The Open University [Milton Keynes] (OU), University of Waterloo [Waterloo], School of Freshwater Sciences, University of Wisconsin - Milwaukee, Lammi Biological Station (LBS), University of Helsinki, Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment and Climate Change, Limnoecology Research Group, University of Pannonia, Department of Chemistry and Environmental Sciences, University of West Hungary [Sopron], Leibniz-Institute of Freshwater Biology and Inland Fisheries, Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL), Institut National de la Recherche Agronomique (INRA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Lancaster Environment Centre, Lancaster University, New York City Department of Environmental Protection (NYC DEP), Institute of Ecosystem Study - CNR, National Science Foundation 1137353 1137327, University of Wisconsin-Milwaukee, Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de la Recherche Agronomique (INRA), and Soil and Ecosystem Ecology Laboratory

Subjects
Statistics and Probability, lac, Data Descriptor, 010504 meteorology & atmospheric sciences, road salt, Limnology, [SDV]Life Sciences [q-bio], Drainage basin, Land cover, 010501 environmental sciences, Library and Information Sciences, 01 natural sciences, Chloride, chlorides, chlorure, Ecology and Environment, Education, Hydrology (agriculture), land cover, open water, Impervious surface, medicine, amérique du nord, Precipitation, 0105 earth and related environmental sciences, Hydrology, geography, geography.geographical_feature_category, 15. Life on land, sweet water, 6. Clean water, Computer Science Applications, Oceanography, eau douce, 13. Climate action, Environmental chemistry, Freshwater ecology, Water quality, Statistics, Probability and Uncertainty, time series, europe, Information Systems, medicine.drug
Abstract

Anthropogenic sources of chloride in a lake catchment, including road salt, fertilizer, and wastewater, can elevate the chloride concentration in freshwater lakes above background levels. Rising chloride concentrations can impact lake ecology and ecosystem services such as fisheries and the use of lakes as drinking water sources. To analyze the spatial extent and magnitude of increasing chloride concentrations in freshwater lakes, we amassed a database of 529 lakes in Europe and North America that had greater than or equal to ten years of chloride data. For each lake, we calculated climate statistics of mean annual total precipitation and mean monthly air temperatures from gridded global datasets. We also quantified land cover metrics, including road density and impervious surface, in buffer zones of 100 to 1,500 m surrounding the perimeter of each lake. This database represents the largest global collection of lake chloride data. We hope that long-term water quality measurements in areas outside Europe and North America can be added to the database as they become available in the future.

Published
2017

5. Solutions pour le partage de données et d'outils dans le Système d’Information d'AnaEE-France

Author

Christian Pichot, Cecile Callou, Damien Maurice, Andre Chanzy, Philippe Clastre, Francois Lafolie, Arnaud Leturgie, Michel Loreau, Aurélien Maire, Chloé Martin, Ghislaine Monet, Helene Raynal, Antoine Schellenberger, Ecologie des Forêts Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), Bases de données sur la Biodiversité, Ecologie, Environnement et Sociétés (BBEES), Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN), Muséum national d'Histoire naturelle (MNHN), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Station d’Ecologie Expérimentale du CNRS à Moulis (SEEM), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Colas Rail, Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL), Institut National de la Recherche Agronomique (INRA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), InfoSol (InfoSol), Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629), US BBEES, Centre National de la Recherche Scientifique (CNRS), Theoretical and Experimental Ecology Station, Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de la Recherche Agronomique (INRA), and Unité INFOSOL (ORLEANS INFOSOL)

Subjects
ecosystem, partage des données, système d'information, [SDV]Life Sciences [q-bio], écosystème
Abstract

Solutions pour le partage de données et d'outils dans le Système d’Information d'AnaEE-France. 25. Journées francophones d'Ingénierie des Connaissances (IC)

Published
2014

6. Geometric morphometrics reveals sexual and genotypic dymorphisms in the brown trout

Author

Ayhan Uyanik, Ghislaine Monet, Alexis Champigneulle, Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL), Institut National de la Recherche Agronomique (INRA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and Université de Bretagne Sud (UBS)

Subjects
0106 biological sciences, endocrine system, animal structures, Lineage (genetic), animal diseases, media_common.quotation_subject, Zoology, Aquatic Science, STATISTICAL SHAPE ANALYSIS, ATLANTIC TROUT, GEOMETRIC MORPHOMETRIC, THIN PLATE SPLINE METHOD, RAMEAU EVOLUTIF MEDITERRANEEN, salmo trutta, digestive system, 010603 evolutionary biology, 01 natural sciences, Brown trout, Sciences et techniques des pêches, 14. Life underwater, Salmo, ComputingMilieux_MISCELLANEOUS, Hybrid, media_common, Sciences and technics of fishery, Morphometrics, biology, urogenital system, Ecology, 010604 marine biology & hydrobiology, rhône alpes, la dranse, biology.organism_classification, hybride, dimorphisme sexuel, Sexual dimorphism, Trout, [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery, truite commune, Reproduction, haute savoie
Abstract

The objective is to study different factors of variations in the body shape of trout (Salmo trutta ) belonging to the Mediterranean lineage (indigenous trout) or Atlantic lineage (introduced trout), and their hybrids. Using thin plate-spline (TPS) method by pointing landmarks, it made possible to provide a graphical representation of the characteristic conformation of the individuals. The characteristics of form highlighted let appear – that the male trout have a dorsal part more prominent than that of the female trout and a larger head – the existence of a general curvature of the body related to the size of trout, independently of the sex. In addition, characteristics of form provide satisfactory results to distinguish the Mediterranean lineage from the Atlantic lineage. The recognition of hybrid trout is more random because very near to Mediterranean trout. The existence of a sexual dimorphism could be established in spite of the absence of information on the sex. Comparative with the sexual dimorphisms in spawning period reveals morphological transformations during the reproduction, mainly for the males. Independently of the genotypic and sexual dimorphisms, a general curvature of the body related to the size was detected.

Published
2006

7. Sémantique et métadonnées de l'infrastructure AnaEE-france

Author

Christian Pichot, Eric Aïvayan, Nicolas Beudez, Cecile Callou, Andre Chanzy, Philippe Clastre, Mohamed El-Hamadry, Lucile Greiveldinger, Francois Lafolie, Arnaud Leturgie, Aurélien Maire, Chloé Martin, Damien Maurice, Nicolas Moitrier, Ghislaine Monet, Helene Raynal, Antoine Schellenberger, Rachid Yahiaoui, Ecologie des Forêts Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Bases de données sur la Biodiversité, Ecologie, Environnement et Sociétés (BBEES), Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN), Muséum national d'Histoire naturelle (MNHN), Ho Chi Minh City University of Technology (HCMUT), Colas Rail, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL), Institut National de la Recherche Agronomique (INRA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), InfoSol (InfoSol), Fondation pour la Recherche sur la Biodiversité (FRB). FRA., Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), US BBEES, Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de la Recherche Agronomique (INRA), and Unité INFOSOL (ORLEANS INFOSOL)

Subjects
standard ontology, partage des données, métadonnées, [SDV]Life Sciences [q-bio], semantic data, donnée sémantique
Abstract

Sémantique et métadonnées de l'infrastructure AnaEE-france. Forum des utilisateurs de l’e-infrastructure ECOSCOPE - Portail de métadonnées

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