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1. The epoxiconazole and tebuconazole fungicides impair granulosa cells functions partly through the aryl hydrocarbon receptor (AHR) signalling with contrasted effects in obese, normo-weight and polycystic ovarian syndrome (PCOS) patients

Author

Serra, Loise, Estienne, Anthony, Bongrani, Alice, Ramé, Christelle, Caria, Giovanni, Froger, Claire, Jolivet, Claudy, Henriot, Abel, Amalric, Laurence, Corbin, Emilie, Guérif, Fabrice, Froment, Pascal, and Dupont, Joëlle

Published
2024
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5. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, Daniela, Acosta, Manuel, Altimir, Núria, Arriga, Nicola, Arrouays, Dominique, Aubinet, Marc, Aurela, Mika, Ayres, Edward, López-Ballesteros, Ana, Barbaste, Mireille, Berveiller, Daniel, Biraud, Sébastien, Boukir, Hakima, Brown, Timothy, Brümmer, Christian, Buchmann, Nina, Burba, George, Carrara, Arnaud, Cescatti, Allessandro, Ceschia, Eric, Clement, Robert, Cremonese, Edoardo, Crill, Patrick, Darenova, Eva, Dengel, Sigrid, D’Odorico, Petra, Filippa, Gianluca, Fleck, Stefan, Fratini, Gerardo, Fuß, Roland, Gielen, Bert, Gogo, Sébastien, Grace, John, Graf, Alexander, Grelle, Achim, Gross, Patrick, Grünwald, Thomas, Haapanala, Sami, Hehn, Markus, Heinesch, Bernard, Heiskanen, Jouni, Herbst, Mathias, Herschlein, Christine, Hörtnagl, Lukas, Hufkens, Koen, Ibrom, Andreas, Jolivet, Claudy, Joly, Lilian, Jones, Michael, Kiese, Ralf, Klemedtsson, Leif, Kljun, Natascha, Klumpp, Katja, Kolari, Pasi, Kolle, Olaf, Kowalski, Andrew, Kutsch, Werner, Laurila, Tuomas, de Ligne, Anne, Linder, Sune, Lindroth, Anders, Lohila, Annalea, Longdoz, Bernhard, Mammarella, Ivan, Manise, Tanguy, Jiménez, Sara Maraňón, Matteucci, Giorgio, Mauder, Matthias, Meier, Philip, Merbold, Lutz, Mereu, Simone, Metzger, Stefan, Migliavacca, Mirco, Mölder, Meelis, Montagnani, Leonardo, Moureaux, Christine, Nelson, David, Nemitz, Eiko, Nicolini, Giacomo, Nilsson, Mats B, de Beeck, Maarten Op, Osborne, Bruce, Löfvenius, Mikaell Ottosson, Pavelka, Marian, Peichl, Matthias, Peltola, Olli, Pihlatie, Mari, Pitacco, Andrea, Pokorný, Radek, Pumpanen, Jukka, Ratié, Céline, Rebmann, Corinna, Roland, Marilyn, Sabbatini, Simone, Saby, Nicolas PA, Saunders, Matthew, Schmid, Hans Peter, Schrumpf, Marion, Sedlák, Pavel, and Ortiz, Penelope Serrano

Subjects
Agriculture, Land and Farm Management, Agricultural, Veterinary and Food Sciences, Climate Action, ICOS, GHG exchange, carbon cycle, standardised monitoring, observational network, Agronomy & Agriculture, Agriculture, land and farm management
Abstract

Research infrastructures play a key role in launching a new generation of integrated long-Term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO 2 , CH 4 , N 2 O, H 2 O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-Access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

Published
2018

6. Investigating the complementarity of thermal and physical soil organic carbon fractions

Author

Delahaie, Amicie A., primary, Cécillon, Lauric, additional, Stojanova, Marija, additional, Abiven, Samuel, additional, Arbelet, Pierre, additional, Arrouays, Dominique, additional, Baudin, François, additional, Bispo, Antonio, additional, Boulonne, Line, additional, Chenu, Claire, additional, Heinonsalo, Jussi, additional, Jolivet, Claudy, additional, Karhu, Kristiina, additional, Martin, Manuel P., additional, Pacini, Lorenza, additional, Poeplau, Christopher, additional, Ratié, Céline, additional, Roudier, Pierre, additional, Saby, Nicolas P. A., additional, Savignac, Florence, additional, and Barré, Pierre, additional

Published
2024
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7. Impacts of national scale digital soil mapping programs in France

Author

Arrouays, Dominique, Richer-de-Forges, Anne C., Héliès, Florence, Mulder, Vera Leatitia, Saby, Nicolas P.A., Chen, Songchao, Martin, Manuel P., Román Dobarco, Mercedes, Follain, Stéphane, Jolivet, Claudy, Laroche, Bertrand, Loiseau, Thomas, Cousin, Isabelle, Lacoste, Marine, Ranjard, Lionel, Toutain, Benoît, Le Bas, Christine, Eglin, Thomas, Bardy, Marion, Antoni, Véronique, Meersmans, Jeroen, Ratié, Céline, and Bispo, Antonio

Published
2020
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8. Investigating the complementarity of thermal and physical soil organic carbon fractions.

Author

Delahaie, Amicie A., Cécillon, Lauric, Stojanova, Marija, Abiven, Samuel, Arbelet, Pierre, Arrouays, Dominique, Baudin, François, Bispo, Antonio, Boulonne, Line, Chenu, Claire, Heinonsalo, Jussi, Jolivet, Claudy, Karhu, Kristiina, Martin, Manuel P., Pacini, Lorenza, Poeplau, Christopher, Ratié, Céline, Roudier, Pierre, Saby, Nicolas P. A., and Savignac, Florence

Subjects
CARBON in soils, FRACTIONS, LAND cover, MACHINE learning, THERMAL analysis, TOPSOIL
Abstract

Partitioning soil organic carbon (SOC) in fractions with different biogeochemical stability is useful to better understand and predict SOC dynamics, and provide information related to soil health. Multiple SOC partition schemes exist but few of them can be implemented on large sample sets and therefore be considered as relevant options for soil monitoring. The well-established particulate- (POC) vs. mineral-associated organic carbon (MAOC) physical fractionation scheme is one of them. Introduced more recently, Rock-Eval® thermal analysis coupled with the PARTYSOC machine-learning model can also fractionate SOC into active (Ca) and stable SOC (Cs). A debate is emerging as to which of these methods should be recommended for soil monitoring. To investigate the complementarity or redundancy of these two fractionation schemes, we compared the quantity and environmental drivers of SOC fractions obtained on an unprecedented dataset from mainland France. About 2,000 topsoil samples were recovered all over the country, presenting contrasting land covers and pedoclimatic characteristics, and analysed. We found that the environmental drivers of the fractions were clearly different, the more stable MAOC and Cs fractions being mainly driven by soil characteristics, whereas land cover and climate had a greater influence on more labile POC and Ca fractions. The stable and labile SOC fractions provided by the two methods strongly differed in quantity (MAOC/Cs = 1.88 ± 0.46 and POC/Ca = 0.36 ± 0.17; n = 843) and drivers, suggesting that they correspond to fractions with different biogeochemical stability. We argue that, at this stage, both methods can be seen as complementary and potentially relevant for soil monitoring. As future developments, we recommend comparing how they relate to indicators of soil health such as nutrient availability or soil structural stability, and how their measurements can improve the accuracy of SOC dynamics models. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Unraveling biogeographical patterns and environmental drivers of soil fungal diversity at the French national scale.

Author

Djemiel, Christophe, Dequiedt, Samuel, Horrigue, Walid, Bailly, Arthur, Lelièvre, Mélanie, Tripied, Julie, Guilland, Charles, Perrin, Solène, Comment, Gwendoline, Saby, Nicolas P. A., Jolivet, Claudy, Bispo, Antonio, Boulonne, Line, Pierart, Antoine, Wincker, Patrick, Cruaud, Corinne, Maron, Pierre-Alain, Terrat, Sébastien, and Ranjard, Lionel

Subjects
SOIL ecology, FOREST soils, SOIL sampling, SURFACE of the earth, FUNGI
Abstract

The fungal kingdom is among the most diversified kingdoms on Earth, with estimations of up to 12 million species. However, it remains poorly understood, with only 150 000 fungal species currently described. Given the major ecological role of fungi in ecosystem functioning, these numbers stress the importance of investigating fungal diversity description across different ecosystem types. Here, we explored the spatial distribution of the soil fungal diversity on a broad geographical scale, using the French Soil Quality Monitoring Network that covers the whole French territory (2171 soils sampled along a systematic grid). Fungal alpha diversity was assessed directly from soil DNA using a meta-barcoding approach by targeting the 18S rDNA gene. The total accumulated fungal diversity across France included 136 219 operational taxonomic units (OTUs), i.e., about 1 % of worldwide soil fungal diversity (based on a maximum diversity estimate of 12 million) for a territory representing only 0.3 % of the terrestrial surface on Earth. Based on this dataset, the first extensive map of fungal alpha diversity was drawn and showed a heterogeneous and spatially structured distribution in large biogeographical patterns of 231 km radius for richness (Hill diversity of order 0) and smaller patterns of 36 km radius for dominant fungi (Hill diversity of order 2). As related to other environmental parameters, the spatial distribution of fungal diversity (Hill numbers based on different orders of diversity) was mainly influenced by local filters such as soil characteristics and land management and also by global filters such as climate conditions with various relative influences. Interestingly, cropped soils exhibited the highest pool of fungal diversity relative to forest and vineyard soils. To complement this, soil fungal OTU network interactions were calculated for the different land uses across France. They varied hugely and showed a loss of 75 % of the complexity in crop systems and grasslands compared to forests and up to 83 % in vineyard systems. Overall, our study revealed that a nationwide survey with a high spatial-resolution approach is relevant for deeply investigating the spatial distribution and determinism of soil fungal diversity. Our findings provide novel insights for a better understanding of soil fungal ecology across the 18S rDNA gene and upgrade biodiversity conservation policies by supplying representative repositories dedicated to soil fungi. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Biogeographical patterns of the soil fungal:bacterial ratio across France

Author

Djemiel, Christophe, primary, Dequiedt, Samuel, additional, Bailly, Arthur, additional, Tripied, Julie, additional, Lelièvre, Mélanie, additional, Horrigue, Walid, additional, Jolivet, Claudy, additional, Bispo, Antonio, additional, Saby, Nicolas, additional, Valé, Matthieu, additional, Maron, Pierre-Alain, additional, Ranjard, Lionel, additional, and Terrat, Sébastien, additional

Published
2023
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11. Unraveling biogeographical patterns and environmental drivers of soil fungal diversity at the French national scale

Author

Djemiel, Christophe, primary, Dequiedt, Samuel, additional, Horrigue, Walid, additional, Bailly, Arthur, additional, Lelièvre, Mélanie, additional, Tripied, Julie, additional, Guilland, Charles, additional, Perrin, Solène, additional, Comment, Gwendoline, additional, Saby, Nicolas, additional, Jolivet, Claudy, additional, Bispo, Antonio, additional, Boulonne, Line, additional, Pierart, Antoine, additional, Wincker, Patrick, additional, Cruaud, Corinne, additional, Maron, Pierre-Alain, additional, Terrat, Sébastien, additional, and Ranjard, Lionel, additional

Published
2023
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12. Plant community structure and nitrogen inputs modulate the climate signal on leaf traits

Author

Borgy, Benjamin, Violle, Cyrille, Choler, Philippe, Denelle, Pierre, Munoz, François, Kattge, Jens, Lavorel, Sandra, Loranger, Jessy, Amiaud, Bernard, Bahn, Michael, van Bodegom, Peter M., Brisse, Henry, Debarros, Guilhem, Diquelou, Sylvain, Gachet, Sophie, Jolivet, Claudy, Lemauviel-Lavenant, Servane, Mikolajczak, Alexis, Olivier, Jean, Ordoñez, Jenny, de Ruffray, Patrice, Viovy, Nicolas, and Garnier, Eric

Published
2017

16. Handbook to establish a large-scale soil biodiversity monitoring: the French experience of the RMQS-Biodiversity 

Author

Imbert, Camille, primary, Santorufo, Lucia, additional, Ortega, Carole, additional, Jolivet, Claudy, additional, Auclerc, Apolline, additional, Bougon, Nolwenn, additional, Capowiez, Yvan, additional, Chauvel, Bruno, additional, Cheviron, Nathalie, additional, Cluzeau, Daniel, additional, Cortet, Jérôme, additional, Hedde, Mickael, additional, Lévêque, Antoine, additional, Maunoury-Danger, Florence, additional, Mougin, Christian, additional, Palka, Laurent, additional, Pérès, Guénola, additional, Ranjard, Lionel, additional, Villenave, Cécile, additional, and Bispo, Antonio, additional

Published
2023
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17. Complementarity and drivers of thermal and physical soil organic carbon fractions at the scale of mainland France

Author

Delahaie, Amicie, primary, Cécillon, Lauric, additional, Chenu, Claire, additional, Arrouays, Dominique, additional, Boulonne, Line, additional, Jolivet, Claudy, additional, Ratié, Céline, additional, Saby, Nicolas, additional, Stojanova, Marija, additional, Bispo, Antonio, additional, Martin, Manuel, additional, Arbelet, Pierre, additional, Heinonsalo, Jussi, additional, Poeplau, Christopher, additional, Karhu, Kristiina, additional, Roudier, Pierre, additional, Abiven, Samuel, additional, Pacini, Lorenza, additional, and Barré, Pierre, additional

Published
2023
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21. Le GIS Sol dans les départements et régions d’Outre-mer français

Author

Brossard, Michel, Fujisaki, Kenji, Jolivet, Claudy, Elodie, Dupuits-Bonnin, Jameux, Magali, Jalabert, Stéphanie, Toulemonde Le Ny, Edith, Becquer, Thierry, Blavet, Didier, Beaudou, Alain, Boulonne, Line, Desjardins, Thierry, Le Martret, Hervé, Ratié, Céline, and HELIES, Florence

Subjects
[SDE] Environmental Sciences, IGCS, Mayotte, Martinique, [SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study, base de données pédologiques, Guadeloupe, RMQS, qualité des sols, Guyane, Sol tropical, La Réunion
Abstract

This article presents the main lines of soil research carried out in the French ultramarine regions within the framework of the Scientific Interest Group Sol (GIS Sol). This work concerns the programs “French Soil Quality Monitoring Network” (RMQS) and "Soil Inventory, Management and Conservation" (IGCS), which were conducted in the Lesser Antilles, Martinique and Guadeloupe, Reunion and Mayotte, and French Guiana. This work has a particular nature because these territories are subject to various climates in the intertropical area, contrasting soil development conditions on continental basement and volcanic island lithologies.For IGCS program, in a first step, legacy data from 1950s regarding soil distribution in these regions were compiled and saved in digital medium. In a second step, morpho-pedological syntheses were made thanks to these legacy data along with geological and geomorphological data, embedded in a database. These works are illustrated in this article with the case of Guadeloupe.The first campaign of RMQS program in overseas was conducted between 2006 and 2015. 67 sites were sampled. The experimental set-up was made with a few adaptations from the set-up in mainland France, regarding site installation, soil analyses, and soil samples management. Some results of this program are presented and discussed: soil carbon stocks in French Guiana, and contents of trace metals and polycyclic aromatic hydrocarbons in island areas. Lastly, strategic pathways for this program are discussed, in order to improve the monitoring of soil properties in these regions., Cet article présente les axes des travaux pédologiques effectués dans les régions ultramarines françaises dans le cadre du Groupement d’Intérêt Scientifique Sol. Ces travaux concernent les programmes « Réseau de mesures de la qualité des sols » (RMQS) et « Inventaire, Gestion et Conservation des Sols » (IGCS), conduits aux Petites Antilles, Martinique et Guadeloupe, à La Réunion et Mayotte, et en Guyane. Ces travaux revêtent un caractère particulier du fait que les territoires concernés sont soumis à des climats variés dans la bande intertropicale et des conditions de développement des sols contrastées sur des lithologies continentales du socle et insulaires volcaniques.Dans le cadre du programme IGCS, les travaux se sont axés dans un premier temps sur l’inventaire et la sauvegarde numérique des connaissances de la distribution des sols acquises dans ces territoires depuis les années 1950. Dans un second temps, des synthèses morpho-pédologiques ont été réalisées grâce à ces données pédologiques numérisées et intégrées à une base de données, complétées par des données géologiques et géomorphologiques. Ces travaux sont illustrés dans cet article à travers le cas de la Guadeloupe.La première campagne du programme RMQS, qui s’est déroulée entre 2006 et 2015, a porté sur 67 sites dans les mêmes territoires. La mise en place de ce programme en Outre-mer s’est faite avec quelques adaptations par rapport au dispositif mis en place dans l’Hexagone, et qui concernent l’implantation des sites, les analyses de sols réalisées et la gestion des échantillons de sols. Quelques résultats de ce programme sont discutés, concernant les stocks de carbone du sol en Guyane, et les teneurs en éléments traces métalliques et hydrocarbures aromatiques polycycliques dans les territoires insulaires. Enfin, les pistes d’évolution du programme sont discutées, afin d’améliorer le suivi des propriétés des sols dans ces territoires.

Published
2023

22. Atlas français des champignons du sol

Author

Djemiel, Christophe, Terrat, Sébastien, Dequiedt, Samuel, Jolivet, Claudy, Maron, Pierre-Alain, Ranjard, Lionel, and EL Mjiyad, Noureddine

Subjects
[SDV] Life Sciences [q-bio], pédologie, Champignon, Biodiversité du sol
Abstract

Un seul gramme de sol peut contenir plusieurs millions de champignons microscopiques !Depuis un milliard d’années d’évolution et d’adaptations, le règne des champignons est un acteur incontournable de la biodiversité de notre planète. Les champignons sont souvent observés grâce à leurs sporophores qui se développent au-dessus du sol. Ces derniers représentent pourtant seulement la pointe de l’iceberg de leur diversité car les champignons sont en réalité majoritairement présents sous forme microscopique dans nos sols. Dans cet atlas, les auteurs, qui sont des chercheurs INRAE spécialistes en écologie microbienne et en sciences du sol, dévoilent une nouvelle vision des champignons. Ils ont réalisé le premier inventaire national complet des communautés de champignons du sol sur l’ensemble du territoire national. Ceci a été rendu possible grâce à l’utilisation des dernières technologies de séquençage massif de l’ADN environnemental sur les 2 200 sols du Réseau de mesures de la qualité des sols, couvrant l’ensemble de l’hexagone. Cet atlas synthétise l’ensemble des connaissances scientifiques et représente le premier guide naturaliste sur la distribution et l’écologie des communautés de champignons du sol à l’échelle de la France, à destination du grand public. Il cartographie l’abondance, la diversité et la composition des communautés de champignons du sol à grande échelle et permet d’identifier les paramètres de l’environnement (e.g., type de sol, climat, mode d’usage, géomorphologie) qui conditionnent cette distribution.Il aborde aussi plus précisément la distribution des grands taxa fongiques présents dans les sols français, permettant de mieux comprendre leur écologie en termes de sensibilité à certaines conditions environnementales et d’implication dans les grandes fonctions et services rendus par les sols. L’Atlas conclut par des démonstrations opérationnelles de l’utilisation des champignons en tant que bio-indicateurs de la qualité des sols pour évaluer l’impact et la durabilité de certaines pratiques agricoles, industrielles et urbaines. Un ouvrage unique, tant par le sujet traité que par des représentations originales permettant d’appréhender le monde mystérieux et incroyable de ce règne invisible des champignons du sol. L’ouvrage est en cours de rédaction, sa parution est prévue en début d’année 2024.

Published
2023

23. On Soil Carbon Monitoring Networks

Author

Arrouays, Dominique, Marchant, Ben P., Saby, Nicolas P. A., Meersmans, Jeroen, Jolivet, Claudy, Orton, Thomas G., Martin, Manuel P., Bellamy, Patricia H., Lark, Richard M., Louis, Benjamin P., Allard, D., Kibblewhite, M., Hartemink, Alfred E., Series editor, McBratney, Alex B., Series editor, and McSweeney, Kevin, editor

Published
2014
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26. Unraveling biogeographical patterns and environmental drivers of soil fungal diversity at the French national scale.

Author

Djemiel, Christophe, Dequiedt, Samuel, Horrigue, Walid, Bailly, Arthur, Lelièvre, Mélanie, Tripied, Julie, Guilland, Charles, Perrin, Solène, Comment, Gwendoline, Saby, Nicolas, Jolivet, Claudy, Bispo, Antonio, Boulonne, Line, Pierart, Antoine, Wincker, Patrick, Cruaud, Corinne, Maron, Pierre-Alain, Terrat, Sébastien, and Ranjard, Lionel

Subjects
SOIL ecology, FOREST soils, SOILS, SURFACE of the earth, SOIL sampling, SOIL microbiology
Abstract

The fungal kingdom is among the most diversified kingdoms on earth with estimations up to 12 million species. Yet, it remains poorly understood with only 150,000 fungal species currently described. Given the major ecological role of fungi in ecosystem functioning, these numbers stress the importance of investigating fungal diversity description across different ecosystem types. Here, we explored the spatial distribution of the soil fungal diversity on a broad geographical scale, using the French Soil Quality Monitoring Network that covers the whole French territory (2,171 soils sampled along a systematic grid). Fungal alpha-diversity was assessed directly from soil DNA using a metabarcoding approach. Total cumulated fungal diversity across France included 136,219 OTUs, i.e., about 1 % of the global soil fungal diversity for a territory representing only 0.3 % of terrestrial surface on Earth. Based on this dataset, the first extensive map of fungal alpha-diversity was drawn and evidenced a heterogeneous and spatially structured distribution in large biogeographical patterns of 231 km radius for richness (Hill number q=0) and smaller patterns of 36 km radius for dominant fungi (Hill number q=2). As related to other environmental parameters, the spatial distribution of fungal diversity was mainly influenced by local filters such as soil characteristics and land management, but also by global filters such as climate conditions. The spatial distribution of abundant and rare fungi was determined by distinct or similar filters with various relative influences. Interestingly, cropped soils exhibited the highest pool of fungal diversity relatively to forest and vineyard soils. In complement, soil fungal OTUs network interactions were calculated under the different land uses across France. They varied hugely and showed a loss of 75 % of the complexity in crop systems and grasslands compared to forests, and up to 83 % in vineyard systems. Overall, our study revealed that a nation-wide survey with a high spatial resolution approach is relevant to deeply investigate the spatial distribution and determinism of soil fungal diversity. Our findings provide novel insights for a better understanding of soil fungal ecology and upgrade biodiversity conservation policies by supplying representative repositories dedicated to soil microorganisms in a context of global change. [ABSTRACT FROM AUTHOR]

Published
2023
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27. Changement climatique et culture du blé tendre d’hiver en France aux horizons 2070 et 2100 : étude phénoclimatique et géographique à partir des données issues du modèle ALADIN-Climat

Author

Beauvais, François, primary, Cantat, Olivier, additional, Legouee, Patrick, additional, Madeline, Philippe, additional, Brunel-Muguet, Sophie, additional, Boulonne, Line, additional, Gaillard, Hervé, additional, Jolivet, Claudy, additional, Bataille, Marie-Paule, additional, and Medjkane, Mohand, additional

Published
2022
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28. Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils

Author

Delahaie, Amicie A., primary, Barré, Pierre, additional, Baudin, François, additional, Arrouays, Dominique, additional, Bispo, Antonio, additional, Boulonne, Line, additional, Chenu, Claire, additional, Jolivet, Claudy, additional, Martin, Manuel P., additional, Ratié, Céline, additional, Saby, Nicolas P. A., additional, Savignac, Florence, additional, and Cécillon, Lauric, additional

Published
2022
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29. Le rayonnement et les actions significatives du GIS Sol à l’international

Author

Arrouays, Dominique, Bispo, Antonio, Bardy, Marion, Laroche, Bertrand, Laville, Patricia, Le Bas, Christine, Saby, Nicolas P. A., Ratié, Céline, Martin, Manuel P, Jolivet, Claudy, Richer-De-Forges, Anne C, Antoni, Véronique, Joassard, Irénée, Feix, Isabelle, Brossard, Michel, Lagacherie, Philippe, Soussana, Jean-Francois, InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ministère de l'Agriculture et de la Souveraineté Alimentaire (MASA), ministère de la Transition écologique et de la Cohésion des territoires (MTECT), Agence de la Transition écologique (ADEME), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), and Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier

Subjects
rapportage, Sols, GIS Sol, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, France, rayonnement international
Abstract

International audience; Les sols sont au carrefour d'enjeux planétaires majeurs. L'importance d'une gestion raisonnée et durable des sols est ainsi de plus en plus reconnue au niveau mondial. Il en est logiquement de même en ce qui concerne la nécessité de constituer des systèmes d'information harmonisés, locaux, nationaux, continentaux et mondiaux sur les sols et leurs propriétés. Dans cet article, nous décrivons les évolutions internationales pour lesquelles nous considérons que le GIS Sol a joué un rôle important, tant pour le développement de produits de démonstration, qu'en matière de collaboration, d'initiation, de formation, ou de coordination d'actions internationales. Dans cet article, nous illustrons tout d'abord comment les actions du GIS Sol et de ses partenaires ont contribué au développement de systèmes d'information et au soutien à des infrastructures étrangères, européennes ou mondiales. Nous montrons ensuite ses actions les plus marquantes en matière de développement et de structuration de la recherche et du renforcement du leadership scientifique de la France en bases de données, cartographie et surveillance des sols. Enfin, nous illustrons l’implication du GIS Sol au niveau des politiques et des rapportages européens et mondiaux sur les sols et des actions de normalisation internationales. Ces illustrations indiquent clairement que ses programmes pionniers, originaux, inspirants et complémentaires, ont pesé fortement sur le rayonnement du GIS Sol à l’international

Published
2022

30. Biogeography of Soil Microbial Communities: A Review and a Description of the Ongoing French National Initiative

Author

Ranjard, Lionel, Dequiedt, Samuel, Jolivet, Claudy, Saby, Nicolas P. A., Thioulouse, Jean, Harmand, Jérome, Loisel, Patrice, Rapaport, Alain, Fall, Saliou, Simonet, Pascal, Joffre, Richard, Bouré, Nicolas Chemidlin-Prévost, Maron, Pierre-Alain, Mougel, Christophe, Martin, Manuel P., Toutain, Benoît, Arrouays, Dominique, Lemanceau, Philippe, Lichtfouse, Eric, editor, Hamelin, Marjolaine, editor, Navarrete, Mireille, editor, and Debaeke, Philippe, editor

Published
2011
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31. Adding a soil biodiversity monitoring to the French National Soil Quality Monitoring Network :the RMQS-Biodiversity

Author

Imbert, Camille, Santorufo, Lucia, Ortega, Carole, Jolivet, Claudy, Auclerc, Appoline, Bougon, Nolwenn, Capowiez, Yvan, Cheviron, Nathalie, Cluzeau, Daniel, Cortet, Jérôme, Deronzier, Gaëlle, Hedde, Mickael, Lévêque, Antoine, Maunoury-Danger, Florence, Mougin, Christian, Palka, Laurent, Pérès, Guénola, Ranjard, Lionel, Roucaute, Marc, Vanhee, Benoît, Villenave, Cécile, Wroza, Stanislas, Bispo, Antonio, InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Naples, Université de Lorraine (UL), Office français de la biodiversité (OFB), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Plateforme BIOCHEM-ENV, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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)-Université de Montpellier (UM), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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), Patrimoine naturel (PatriNat), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB), Centre d'Ecologie et des Sciences de la COnservation (CESCO), Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sol Agro et hydrosystème Spatialisation (SAS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Agroécologie [Dijon], Université de Bourgogne (UB)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Dijon, Université catholique de Lille (UCL), Elisol Environnement, and Mougin, Christian

Subjects
[SDE] Environmental Sciences, [SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, Earthworms
Abstract

International audience

Published
2022

33. Correction: Mapping and predictive variations of soil bacterial richness across France

Author

Terrat, Sébastien, primary, Horrigue, Walid, additional, Dequiedt, Samuel, additional, Saby, Nicolas P. A., additional, Lelièvre, Mélanie, additional, Nowak, Virginie, additional, Tripied, Julie, additional, Régnier, Tiffanie, additional, Jolivet, Claudy, additional, Arrouays, Dominique, additional, Wincker, Patrick, additional, Cruaud, Corinne, additional, Karimi, Battle, additional, Bispo, Antonio, additional, Maron, Pierre Alain, additional, Prévost-Bouré, Nicolas Chemidlin, additional, and Ranjard, Lionel, additional

Published
2022
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37. Collectes des données de pratiques agricoles des sites du Réseau de Mesures de la Qualité des Sols

Author

Bouvais, Aude, Boulonne, Line, Lee, Alexandre, Munier Jolain, Nicolas, Chery, Philippe, Langlois, Vanessa, Jolivet, Claudy, and HELIES, Florence

Subjects
surveillance des sols, pratique de gestion, management survey, soil monitoring, AGROSYST, enquête, France, [SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study, RMQS, Collection strategy, management practice, Méthode de collecte
Abstract

The INRAE InfoSol unit, mandated by the Gis Sol, coordinates the French Soil Monitoring Network (RMQS) set up to assess the quality and evolution of soils in France. A local trained team collects management data through a survey with farmers or operators for each site and campaign. The initial objective of collecting all soil-related management data, answering multidisciplinary uses, has faced collection difficulties and lengthy interviews. Hence, survey forms were revised before the second campaign, started in 2016. The new forms were tested and improved for two years, and the data collection strategy was tuned. In order to analyze the first responses and to suggest improvements, the study was based on four axes: 1/ the assessment of collected data utilization by RMQS-related research programs, 2/ the quality of the form filling, 3/ the feedbacks of the investigators and also the utilization of other data sources to collect management data. From cross-reference of these axes by question, rules have been suggested to improve the surveys. In addition, this study made it possible to initiate the implementation of a new collection strategy, not only linked to the RMQS campaign of fifteen-year gap, but with a frequency of four years to assure a temporally continuity of collected data from the parcel and the farm. Finally, the storage of data, using the information system AGROSYST, is being evaluated., L’unité INRAE InfoSol, mandatée par le Groupement d’Intérêt Scientifique Sol, coordonne le Réseau de Mesures de Qualité des Sols (RMQS) mis en place pour évaluer la qualité et l’évolution des sols de France. Un réseau de partenaires collecte les données de pratiques par une enquête auprès des agriculteurs ou des gestionnaires pour chaque site et chaque campagne. L’objectif initial d’acquérir de manière exhaustive toutes les pratiques pouvant affecter le sol, en prévision d’usages multidisciplinaires, s’est heurté à des difficultés de collecte et à des entretiens longs. C’est pourquoi les formulaires ont été révisés avant la seconde campagne, commencée en 2016. Les nouveaux formulaires ont été testés pendant deux ans, permettant d’y réaliser des améliorations. En vue d’analyser les premières réponses et de proposer des améliorations, l’étude s’est appuyée sur quatre axes : 1/ la valorisation des données par les programmes de recherche utilisant le réseau, 2/ la qualité de remplissage des formulaires, 3/ les retours des enquêteurs, 4/ l’utilisation possible d’autres sources de données pour collecter des données de pratiques. À partir du croisement de ces quatre axes par question, des règles ont été proposées pour améliorer le questionnaire. Par ailleurs, ces travaux ont permis d’initier la mise en oeuvre d’une nouvelle stratégie de collecte, qui ne serait pas seulement liée aux seules campagnes du RMQS à intervalle de 15 ans, mais réalisée à une fréquence de quatre ans et qui assurerait la continuité temporelle des informations collectées à la parcelle et sur l’exploitation. Enfin, l’archivage des données dans le système d’information Agrosyst est à l’étude.

Published
2022

38. Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils.

Author

Delahaie, Amicie A., Barré, Pierre, Baudin, François, Arrouays, Dominique, Bispo, Antonio, Boulonne, Line, Chenu, Claire, Jolivet, Claudy, Martin, Manuel P., Ratié, Céline, Saby, Nicolas P. A., Savignac, Florence, and Cécillon, Lauric

Subjects
THERMAL stability, ORGANIC compounds, STOICHIOMETRY, TOPSOIL, SOIL quality, LAND cover, THERMAL analysis
Abstract

The quality and quantity of soil organic matter (SOM) are key elements that impact soil health and climate regulation by soils. The Rock-Eval® thermal analysis technique is becoming more commonly used, as it represents a powerful method for SOM characterization by providing insights into bulk SOM chemistry and thermal stability. In this study, we applied this technique on a large soil sample set from the first campaign (2000–2009) of the French Soil Quality Monitoring Network (RMQS – Réseau de mesures de la qualité des sols). Based on our analyses of ca. 2000 composite surface (0–30 cm) samples collected across mainland France, we observed a significant impact of land cover on both the SOM thermal stability and elemental stoichiometry. Cropland soils had a lower mean hydrogen index value (a proxy for the SOM H/C ratio) and a higher thermal stability than grasslands and forests. Regarding the oxygen index (a proxy for the SOM O/C ratio), we observed significant differences among the values for croplands, grasslands, and forests. Positive correlations of the temperature parameters with the clay content and pH highlight the protective effect of clay on organic matter as well as the impact of pH on microorganisms' mineralization activity. Surprisingly, we found weak effects of climatic parameters on the thermal stability and stoichiometry of SOM. Our data suggest that topsoil SOM is on average more oxidized and biogeochemically stable in croplands. More generally, the high number and even distribution of data across the whole French territory allow one to build a national interpretative reference for these indicators in surface soils. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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40. Rock-Eval®-RMQS: Monitoring the Characteristics of SOM on the French Territory with Rock-Eval® 6 Thermal Analysis to Assess its Stability

Author

Delahaie, Amicie, primary, Barré, Pierre, additional, Baudin, François, additional, Arrouays, Dominique, additional, Bispo, Antonio, additional, Boulonne, Line, additional, Chenu, Claire, additional, Jolivet, Claudy, additional, Martin, Manuel, additional, Saby, Nicolas, additional, Savignac, Florence, additional, and Cécillon, Lauric, additional

Published
2022
Full Text
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42. Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils.

Author

Delahaie, Amicie A., Barré, Pierre, Baudin, François, Arrouays, Dominique, Bispo, Antonio, Boulonne, Line, Chenu, Claire, Jolivet, Claudy, Martin, Manuel P., Ratié, Céline, Saby, Nicolas P. A., Savignac, Florence, and Cécillon, Lauric

Subjects
STOICHIOMETRY, ORGANIC compounds, THERMAL stability, HYDROGEN, GRASSLANDS
Abstract

The quality and quantity of soil organic matter (SOM) are key elements of soil health and climate regulation by soils. The Rock-Eval® thermal analysis technique is increasingly used as it represents a powerful method for SOM characterization by providing insights on bulk SOM chemistry and thermal stability. In this study, we applied this technique on a large soil sample set from the first campaign (2000–2009) of the French monitoring network of soil quality: RMQS. Based on our analyses on ca. 2000 composite surface (0–30 cm) samples taken all over mainland France, we observed a significant impact of land cover on both SOM thermal stability and elemental stoichiometry. Cropland soils had a lower mean value of hydrogen index (a proxy for SOM H / C ratio) and a higher thermal stability than grasslands and forests. Regarding the oxygen index (a proxy for SOM O / C ratio), we observed significant differences in values for croplands, grasslands and forests. Positive correlations between the temperature parameters on the one hand and the clay content and pH on the other hand highlight the protective effect of clay on organic matter and the impact of pH on microorganisms mineralization activity. Surprisingly, we found weak effects of climatic parameters on the thermal stability and stoichiometry of SOM. Our data suggest that topsoil SOM is on average more oxidized and biogeochemically stable in croplands. More generally, the high number and even repartition of data on the whole French territory allow to build a national interpretative referential for these indicators in surface soils. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
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47. Biogeography of soil microbial communities: a review and a description of the ongoing french national initiative

Author

Ranjard, Lionel, Dequiedt, Samuel, Jolivet, Claudy, Saby, Nicolas P. A., Thioulouse, Jean, Harmand, Jérome, Loisel, Patrice, Rapaport, Alain, Fall, Saliou, Simonet, Pascal, Joffre, Richard, Bouré, Nicolas Chemidlin-Prévost, Maron, Pierre-Alain, Mougel, Christophe, Martin, Manuel P., Toutain, Benoît, Arrouays, Dominique, and Lemanceau, Philippe

Published
2010
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49. Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO+ model, version 3.0

Author

Berveiller, Daniel, Delpierre, Nicolas, Dufrêne, Eric, Joffre, Richard, Limousin, Jean-Marc, Ourcival, Jean-Marc, Klumpp, Katja, Darsonville, Olivier, Brut, Aurore, Tallec, Tiphaine, Ceschia, Eric, Panthou, Gérémy, Moreaux, Virginie, Martel, Simon, Bosc, Alexandre, Picart, Delphine, Achat, David, Moisy, Christophe, Aussenac, Raphael, Chipeaux, Christophe, Bonnefond, Jean-Marc, Figuères, Soisick, Trichet, Pierre, Vezy, Rémi, Badeau, Vincent, Longdoz, Bernard, Granier, André, Roupsard, Olivier, Nicolas, Manuel, Pilegaard, Kim, Matteucci, Giorgio, Jolivet, Claudy, Black, Andrew, Picard, Olivier, Loustau, Denis, Ecologie Systématique et Evolution (ESE), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Observatoire des Abeilles, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE]Environmental Sciences
Abstract

International audience; Abstract. The mechanistic model GO+ describes the functioning and growth of managed forests based upon biophysical and biogeochemical processes. The biophysical and biogeochemical processes included are modelled using standard formulations of radiative transfer, convective heat exchange, evapotranspiration, photosynthesis, respiration, plant phenology, growth and mortality, biomass nutrient content, and soil carbon dynamics. The forest ecosystem is modelled as three layers, namely the tree overstorey, understorey and soil. The vegetation layers include stems, branches and foliage and are partitioned dynamically between sunlit and shaded fractions. The soil carbon submodel is an adaption of the Roth-C model to simulate the impact of forest operations. The model runs at an hourly time step. It represents a forest stand covering typically 1 ha and can be straightforwardly upscaled across gridded data at regional, country or continental levels. GO+ accounts for both the immediate and long-term impacts of forest operations on energy, water and carbon exchanges within the soil–vegetation–atmosphere continuum. It includes exhaustive and versatile descriptions of management operations (soil preparation, regeneration, vegetation control, selective thinning, clear-cutting, coppicing, etc.), thus permitting the effects of a wide variety of forest management strategies to be estimated: from close to nature to intensive. This paper examines the sensitivity of the model to its main parameters and estimates how errors in parameter values are propagated into the predicted values of its main output variables.The sensitivity analysis demonstrates an interaction between the sensitivity of variables, with the climate and soil hydraulic properties being dominant under dry conditions but the leaf biochemical properties being most influential with wet soil. The sensitivity profile of the model changes from short to long timescales due to the cumulative effects of the fluxes of carbon, energy and water on the stand growth and canopy structure. Apart from a few specific cases, the model simulations are close to the values of the observations of atmospheric exchanges, tree growth, and soil carbon and water stock changes monitored over Douglas fir, European beech and pine forests of different ages. We also illustrate the capacity of the GO+ model to simulate the provision of key ecosystem services, such as the long-term storage of carbon in biomass and soil under various management and climate scenarios.

Published
2020

50. Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO+ model, version 3.0

Author

Moreaux, Virginie, Martel, Simon, Bosc, Alexandre, Picart, Delphine, Achat, David, Moisy, Christophe, Aussenac, Raphael, Chipeaux, Christophe, Bonnefond, Jean-Marc, Figuères, Soisick, Trichet, Pierre, Vezy, Rémi, Badeau, Vincent, Longdoz, Bernard, Granier, André, Roupsard, Olivier, Nicolas, Manuel, Pilegaard, Kim, Matteucci, Giorgio, Jolivet, Claudy, Black, Andrew T., Picard, Olivier, Loustau, Denis, 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 des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Office National des Forêts (ONF), Technical University of Denmark [Lyngby] (DTU), Consiglio Nazionale delle Ricerche (CNR), InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of British Columbia (UBC), Centre National de la Propriété Forestière (CNPF), ANR-13-AGRO-0005,MACACC,Modélisation pour l'accompagnement des ACteurs, vers l'Adaptation des Couverts pérennes ou agroforestiers aux Changements globaux(2013), European Project: 730944,H2020,H2020-INFRADEV-2016-1,RINGO(2017), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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), Office national des forêts (ONF), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Centre National de la Propriété Forestière (CNPF-IDF), and Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )

Subjects
ENVIRONMENT SIMULATOR JULES, Aménagement forestier, STOMATAL CONDUCTANCE, water and carbon exchanges, MARITIME PINE, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, BEECH FAGUS-SYLVATICA, biogéochimie, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Développement forestier, K01 - Foresterie - Considérations générales, SDG 13 - Climate Action, CLIMATE-CHANGE, PINUS-PINASTER AIT, U10 - Informatique, mathématiques et statistiques, SAP-FLOW, forest ecosystems, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, séquestration du carbone, Modélisation, Écosystème forestier, 3 ORGANIZATIONAL SCALES, accroissement forestier, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, SOIL CARBON, PHOTOSYNTHETIC CAPACITY
Abstract

The mechanistic model GO+ describes the functioning and growth of managed forests based upon biophysical and biogeochemical processes. The biophysical and biogeochemical processes included are modelled using standard formulations of radiative transfer, convective heat exchange, evapotranspiration, photosynthesis, respiration, plant phenology, growth and mortality, biomass nutrient content, and soil carbon dynamics. The forest ecosystem is modelled as three layers, namely the tree overstorey, understorey and soil. The vegetation layers include stems, branches and foliage and are partitioned dynamically between sunlit and shaded fractions. The soil carbon submodel is an adaption of the Roth-C model to simulate the impact of forest operations. The model runs at an hourly time step. It represents a forest stand covering typically 1 ha and can be straightforwardly upscaled across gridded data at regional, country or continental levels. GO+ accounts for both the immediate and long-term impacts of forest operations on energy, water and carbon exchanges within the soil–vegetation–atmosphere continuum. It includes exhaustive and versatile descriptions of management operations (soil preparation, regeneration, vegetation control, selective thinning, clear-cutting, coppicing, etc.), thus permitting the effects of a wide variety of forest management strategies to be estimated: from close to nature to intensive. This paper examines the sensitivity of the model to its main parameters and estimates how errors in parameter values are propagated into the predicted values of its main output variables.The sensitivity analysis demonstrates an interaction between the sensitivity of variables, with the climate and soil hydraulic properties being dominant under dry conditions but the leaf biochemical properties being most influential with wet soil. The sensitivity profile of the model changes from short to long timescales due to the cumulative effects of the fluxes of carbon, energy and water on the stand growth and canopy structure. Apart from a few specific cases, the model simulations are close to the values of the observations of atmospheric exchanges, tree growth, and soil carbon and water stock changes monitored over Douglas fir, European beech and pine forests of different ages. We also illustrate the capacity of the GO+ model to simulate the provision of key ecosystem services, such as the long-term storage of carbon in biomass and soil under various management and climate scenarios.

Published
2020

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