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1. 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
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2. Modélisation Intégrée du devenir des Pesticides dans les Paysages agricoles (projet MIPP)

Author

Marc Voltz, Carole Bedos, David Crevoisier, Jean-Christophe Fabre, Benjamin Loubet, Manuel Chataignier, Bankwal, P., Enrique Barriuso, Pierre Benoit, Yves Brunet, Eric Casellas, Patrick Chabrier, Camille Chambon, Cécile Dagès, Jean Paul Douzals, Jean-Louis Drouet, François Lafolie, Laure Mamy, Nicolas Moitrier, Erwan Personne, Valerie Pot, Helene Raynal, Bernadette Ruelle, Anatja Samouëlian, Saudreau, M., Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), and Université de Toulouse (UT)-Université de Toulouse (UT)

Subjects
[SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

3. Integrated Modelling of pesticide fate in agricultural landscapes

Author

Marc Voltz, Carole Bedos, Fabre Jc, -., Benjamin Loubet, Mathieu Chataignier, Bankwal P, Enrique Barriuso, Pierre Benoit, Yves Brunet, Eric Casellas, Camille Chambon, David Crevoisier, Cécile Dagès, Jean-Paul Douzals, Drouet Jl, Francois Lafolie, Laure Mamy, Nicolas Moitrier, Erwan Personne, Valerie Pot, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris Saclay (COmUE), Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), and Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [INFO]Computer Science [cs], [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

4. QualiTree, a virtual fruit tree to study the management of fruit quality. II. Parameterisation for peach, analysis of growth-related processes and agronomic scenarios

Author

Françoise Lescourret, Pierre Valsesia, Gilles Vercambre, José Manuel Mirás-Avalos, Nicolas Moitrier, Claude Bussi, Michel Génard, Emilio Nicolás, María M. González-Real, Gregorio Egea, Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de la Recherche Agronomique (INRA), Universidade da Coruña, Universidad Politécnica de, School of Human and Environmental Sciences, University of Reading (UOR), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Expérimentale Recherches Intégrées - Gotheron (UERI), IRRIQUAL EU-FP6-FOOD-CT-2006-023120, Universidade da Coruna, Spanish Ministry of Education, Fundacion Ramon Areces (Madrid, Spain), SENECA 05665/PI/07, and MEC CSD2006-0067

Subjects
0106 biological sciences, Physiology, Vegetative reproduction, media_common.quotation_subject, Plant Science, Biology, 01 natural sciences, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Yield (wine), PECHER, SENSITIVITY ANALYSIS, Quality (business), media_common, Ecology, Thinning, food and beverages, Forestry, 04 agricultural and veterinary sciences, Agronomy, 040103 agronomy & agriculture, GROWTH, 0401 agriculture, forestry, and fisheries, PEST analysis, Fruit tree, CARBON ALLOCATION, 010606 plant biology & botany
Abstract

Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699; International audience; In this paper, QualiTree, a fruit tree model designed to study the management of fruit quality, and developed and described in a companion paper (Lescourret et al. in Trees Struct Funct, 2010), was combined with a simple light-interception sub-model, and then parameterised and tested on peach in different situations. Simulation outputs displayed fairly good agreement with the observed data concerning mean fruit and vegetative growth. The variability over time of fruit and vegetative growth was well predicted. QualiTree was able to reproduce the observed response of trees to heterogeneous thinning treatments in terms of fruit growth. A sensitivity analysis showed that the average seasonal growth rates of the different organs were sensitive to changes to the values of their respective initial relative growth rates and that stem wood was the tree organ the most affected by a change in the initial relative growth rates of other organs. QualiTree was able to react to simulated scenarios that combined thinning and pest attacks. As expected, thinning intensity and the percentage damage caused by pests significantly affected fruit yield and quality traits at harvest. These simulations showed that QualiTree could be a useful tool to design innovative horticultural practices

Published
2011
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5. The 'Vsoil Platform': a tool to integrate the various physical, chemical and biological processes contributing to the soil functioning at the local scale

Author

Francois Lafolie, Isabelle Cousin, Alain Mollier, Valerie Pot-Genty, Nicolas Moitrier, Jerome Balesdent, Laurent Bruckler, Nathalie Moitrier, Cédric Nouguier, Guy Richard, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Science du Sol (USS), Institut National de la Recherche Agronomique (INRA), Interactions Sol Plante Atmosphère (ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Unité de recherche Géochimie des Sols et des Eaux (URGSE), SDAR Occitanie Montpellier (SDAR), Département Environnement et Agronomie (DPT_EA), Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Département Environnement et Agronomie (DEPT EA)

Subjects
propriété physique du sol, modélisation des sols, outil informatique, cartographie numérique des sols, Earth Sciences, fonctionnement biologique du sol, logiciel de prévision, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, paramètre biogéochimique, Sciences de la Terre
Abstract

Models describing the soil functioning are valuable tools for addressing challenging issues related to agricultural production, soil protection or biogeochemical cycles. Coupling models that address different scientific fields is actually required in order to develop numerical tools able to simulate the complex interactions and feed-backs occurring within a soil profile in interaction with climate and human activities. We present here a component-based modelling platform named “VSoil”, that aims at designing, developing, implementing and coupling numerical representation of biogeochemical and physical processes in soil, from the aggregate to the profile scales. The platform consists of four softwares, i) Vsoil_Processes dedicated to the conceptual description of processes and of their inputs and outputs, ii) Vsoil_Modules devoted to the development of numerical representation of elementary processes as modules, iii) Vsoil_Models which permits the coupling of modules to create models, iv) Vsoil_Player for the run of the model and the primary analysis of results. The platform is designed to be a collaborative tool, helping scientists to share not only their models, but also the scientific knowledge on which the models are built. The platform is based on the idea that processes of any kind can be described and characterized by their inputs (state variables required) and their outputs. The links between the processes are automatically detected by the platform softwares. For any process, several numerical representations (modules) can be developed and made available to platform users. When developing modules, the platform takes care of many aspects of the development task so that the user can focus on numerical calculations. Fortran2008 and C++ are the supported languages and existing codes can be easily incorporated into platform modules. Building a model from available modules simply requires selecting the processes being accounted for and for each process a module. During this task, the platform displays available modules and checks the compatibility between the modules. The model (main program) is automatically created when compatible modules have been selected for all the processes. A GUI is automatically generated to help the user providing parameters and initial situations. Numerical results can be immediately visualized, archived and exported. The platform also provides facilities to carry out sensitivity analysis. Parameters estimation and links with databases are being developed. The platform can be freely downloaded from the web site (http://www.inra.fr/sol_virtuel/) with a set of processes, variables, modules and models. However, it is designed so that any user can add its own components. Theses adds-on can be shared with co-workers by means of an export/import mechanism using the e-mail. The adds-on can also be made available to the whole community of platform users when developers asked for. A filtering tool is available to explore the content of the platform (processes, variables, modules, models).[br/]

Published
2014

6. The « VSOIL » modeling platform

Author

Nicolas Moitrier, Pierre-Alain Marron, Isabelle Cousin, Alain Mollier, François Lafolie, Cédric Nouguier, Valérie Pot, Nathalie Moitrier, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes ( EMMAH ), Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV ), Unité de recherche Science du Sol ( USS ), Institut National de la Recherche Agronomique ( INRA ), Agroécologie [Dijon], Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Transfert Sol-Plante et Cycle des Eléments Minéraux dans les Ecosystèmes Cultivés ( TCEM ), Institut National de la Recherche Agronomique ( INRA ) -École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux ( ENITAB ), Environnement et Grandes Cultures ( EGC ), AgroParisTech-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), Unité de recherche Science du Sol (USS), Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Transfert Sol-Plante et Cycle des Eléments Minéraux dans les Ecosystèmes Cultivés (TCEM), École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB)-Institut National de la Recherche Agronomique (INRA), Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Institut National de la Recherche Agronomique (INRA)-AgroParisTech

Subjects
[ SDV ] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], Climate change, Forestry, Soil classification, 04 agricultural and veterinary sciences, 15. Life on land, 010501 environmental sciences, complex mixtures, 01 natural sciences, 6. Clean water, Soil management, 13. Climate action, Component (UML), [SDE]Environmental Sciences, Soil water, Computer software, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, Ecosystem, Biochemical engineering, Water quality, 0105 earth and related environmental sciences
Abstract

Human actions and climate change induce modifications in soils and hydrosystems that must be predicted and evaluated. The soil is a fragile component of the ecosystem and it plays an essential role for primary production and water quality. Modeling is a powerful tool to simulate physical, chemical and biological modifications of the soil. Comparing model outputs to long term experiments is absolutely necessary to evaluate our understanding of the soil plant atmosphere system functioning and thus our ability to predict its evolutions.

Published
2014
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7. The Soil Virtuel modeling platform

Author

Francois Lafolie, Isabelle Cousin, Pierre-Alain Maron, Alain Mollier, Valerie Pot-Genty, Nathalie Moitrier, Nicolas Moitrier, Cédric Nouguier, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Science du Sol (USS), Institut National de la Recherche Agronomique (INRA), Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and ProdInra, Migration

Subjects
[SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2013

8. QualiTree, a virtual fruit tree to study the management of fruit quality. I. Model development

Author

Michel Génard, Françoise Lescourret, Pierre Valsesia, Nicolas Moitrier, Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de la Recherche Agronomique (INRA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), and Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
0106 biological sciences, Physiology, media_common.quotation_subject, Plant Science, Agricultural engineering, 01 natural sciences, Set (abstract data type), Botany, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Model development, Quality (business), Mathematics, media_common, Ecology, Thinning, business.industry, Forestry, 04 agricultural and veterinary sciences, 15. Life on land, Tree (data structure), Agriculture, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, business, Pruning, Fruit tree, 010606 plant biology & botany
Abstract

International audience; This article presents QualiTree, a generic fruit tree model that can simulate the effects of various cultivation practices on the development and within-tree variability of fruit quality. These practices include fruit thinning, summer and winter pruning, irrigation and tree training. Combining both agronomic and physiology viewpoints, the model describes the tree as a set of objects—fruiting units organised into a tree architecture and viewed in detail, and other compartments viewed globally—that exchange carbon and are the targets of physiological functions that can be changed by cultivation practices. The complex effect of shoot removal on tree behaviour was subjected to a special modelling effort using the coordination theory. QualiTree combines existing models of fruit quality development and simple carbon allocation functions. Though parsimonious, it is able to express a high degree of variability of fruit quality criteria. Future developments of QualiTree relative to an extension of the range of fruit quality criteria and the effects of cultivation practices are also discussed

Published
2011
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9. Carbon allocation in fruit trees: from theory to modelling

Author

Michel Génard, Nicolas Moitrier, Jean Dauzat, Françoise Lescourret, Nicolás Franck, Philippe Vaast, Gilles Vercambre, 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]), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de la Recherche Agronomique (INRA), and 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])

Subjects
0106 biological sciences, Carbone, Physiology, Allocation, Agricultural management, F62 - Physiologie végétale - Croissance et développement, Plant Science, Biology, 01 natural sciences, Régulation physiologique, 03 medical and health sciences, Architecture, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, 030304 developmental biology, 2. Zero hunger, Source sink, Port de la plante, 0303 health sciences, Ecology, U10 - Informatique, mathématiques et statistiques, Forestry, Transport theory, 15. Life on land, Carbon transfer, Carbon, [SDE.MCG.AGRO]Environmental Sciences/Global Changes/domain_sde.mcg.agro, Source–sink, Arbre fruitier, Biochemical engineering, Modèle mathématique, Développement biologique, 010606 plant biology & botany, Model
Abstract

Carbon allocation within a plant depends on complex rules linking source organs (mainly shoots) and sink organs (mainly roots and fruits). The complexity of these rules comes from both regulations and interactions between various plant processes involving carbon. This paper presents these regulations and interactions, and analyses how agricultural management can influence them. Ecophysiological models of carbon production and allocation are good tools for such analyses. The fundamental bases of these models are first presented, focusing on their underlying processes and concepts. Different approaches are used for modelling carbon economy. They are classified as empirical, teleonomic, driven by source-sink relationships, or based on transport and chemical/biochemical conversion concepts. These four approaches are presented with a particular emphasis on the regulations and interactions between organs and between processes. The role of plant architecture in carbon partitioning is also discussed and the interest of coupling plant architecture models with carbon allocation models is highlighted. As an illustration of carbon allocation models, a model developed for peach trees, describing carbon transfer within the plant, and based on source-sink and Münch transport theory is presented and used for analyzing the link between roots, shoots and reproductive compartments. On this basis, the consequences of fruit load or plant pruning on fruit and vegetative growth can be evaluated. Carbon allocation within a plant depends on complex rules linking source organs (mainly shoots) and sink organs (mainly roots and fruits). The complexity of these rules comes from both regulations and interactions between various plant processes involving carbon. This paper presents these regulations and interactions, and analyses how agricultural management can influence them. Ecophysiological models of carbon production and allocation are good tools for such analyses. The fundamental bases of these models are first presented, focusing on their underlying processes and concepts. Different approaches are used for modelling carbon economy. They are classified as empirical, teleonomic, driven by source-sink relationships, or based on transport and chemical/biochemical conversion concepts. These four approaches are presented with a particular emphasis on the regulations and interactions between organs and between processes. The role of plant architecture in carbon partitioning is also discussed and the interest of coupling plant architecture models with carbon allocation models is highlighted. As an illustration of carbon allocation models, a model developed for peach trees, describing carbon transfer within the plant, and based on source-sink and Münch transport theory is presented and used for analyzing the link between roots, shoots and reproductive compartments. On this basis, the consequences of fruit load or plant pruning on fruit and vegetative growth can be evaluated.

Published
2008
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11. 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

12. Modélisation intégrée du devenir des pesticides dans le paysage

Author

Marc Voltz, Carole Bedos, David Crevoisier, Cécile Dagès, Meriem Djouhri, Jean-Christophe Fabre, François Lafolie, Benjamin Loubet, Erwan Personne, Pierre Bancal, Enrique Barriuso, Pierre Benoit, Yves Brunet, Casellas Eric, Patrick Chabrier, Camille Chambon, Manuel Chataigner, Jean Paul Douzals, Jean-Louis Drouet, Laure Mamy, Nicolas Moitrier, Valerie Pot, Helene Raynal, Bernadette Ruelle, Anatja Samouëlian, Saudreau, M., MAMY, Laure, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, AGroécologie, Innovations, teRritoires (AGIR), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF), and Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA)

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

13. Virtual Soil Plateform Project

Author

Alain Mollier, Francois Lafolie, Isabelle Cousin, Valerie Pot-Genty, Cédric Nouguier, Nathalie Moitrier, Nicolas Moitrier, Transfert Sol-Plante et Cycle des Eléments Minéraux dans les Ecosystèmes Cultivés (TCEM), Institut National de la Recherche Agronomique (INRA)-École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Science du Sol (USS), Institut National de la Recherche Agronomique (INRA), Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), and École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB)-Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV]Life Sciences [q-bio]
Abstract

absent

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