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8. Effects of climate and atmospheric nitrogen deposition on early to mid-term stage litter decomposition across biomes

Author

Kwon, T., Shibata, H., Kepfer-Rojas, S., Schmidt, I. K., Larsen, K. S., Beier, C., Berg, B., Verheyen, K., Lamarque, J. F., Hagedorn, F., Eisenhauer, N., Djukic, I., Caliman, A., Paquette, A., Gutiérrez-Girón, A., Petraglia, A., Augustaitis, A., Saillard, A., Ruiz-Fernández, A. C., Sousa, A. I., Lillebø, A. I., Da Rocha Gripp, A., Lamprecht, A., Bohner, A., Francez, A. J., Malyshev, A., Andrić, A., Stanisci, A., Zolles, A., Avila, A., Virkkala, A. M., Probst, A., Ouin, A., Khuroo, A. A., Verstraeten, A., Stefanski, A., Gaxiola, A., Muys, B., Gozalo, B., Ahrends, B., Yang, B., Erschbamer, B., Rodríguez Ortíz, C. E., Christiansen, C. T., Meredieu, C., Mony, C., Nock, C., Wang, C. P., Baum, C., Rixen, C., Delire, C., Piscart, C., Andrews, C., Rebmann, C., Branquinho, C., Jan, D., Wundram, D., Vujanović, D., Adair, E. C., Ordóñez-Regil, E., Crawford, E. R., Tropina, E. F., Hornung, E., Groner, E., Lucot, E., Gacia, E., Lévesque, E., Benedito, E., Davydov, E. A., Bolzan, F. P., Maestre, F. T., Maunoury-Danger, F., Kitz, F., Hofhansl, F., Hofhansl, G., De Almeida Lobo, F., Souza, F. L., Zehetner, F., Koffi, F. K., Wohlfahrt, G., Certini, G., Pinha, G. D., Gonzlez, G., Canut, G., Pauli, H., Bahamonde, H. A., Feldhaar, H., Jger, H., Serrano, H. C., Verheyden, H., Bruelheide, H., Meesenburg, H., Jungkunst, H., Jactel, H., Kurokawa, H., Yesilonis, I., Melece, I., Van Halder, I., Quirós, I. G., Fekete, I., Ostonen, I., Borovsk, J., Roales, J., Shoqeir, J. H., Jean-Christophe Lata, J., Probst, J. L., Vijayanathan, J., Dolezal, J., Sanchez-Cabeza, J. A., Merlet, J., Loehr, J., Von Oppen, J., Löffler, J., Benito Alonso, J. L., Cardoso-Mohedano, J. G., Peñuelas, J., Morina, J. C., Quinde, J. D., Jimnez, J. J., Alatalo, J. M., Seeber, J., Kemppinen, J., Stadler, J., Kriiska, K., Van Den Meersche, K., Fukuzawa, K., Szlavecz, K., Juhos, K., Gerhtov, K., Lajtha, K., Jennings, K., Jennings, J., Ecology, P., Hoshizaki, K., Green, K., Steinbauer, K., Pazianoto, L., Dienstbach, L., Yahdjian, L., Williams, L. J., Brigham, L., Hanna, L., Hanna, H., Rustad, L., Morillas, L., Silva Carneiro, L., Di Martino, L., Villar, L., Fernandes Tavares, L. A., Morley, M., Winkler, M., Lebouvier, M., Tomaselli, M., Schaub, M., Glushkova, M., Torres, M. G. A., De Graaff, M. A., Pons, M. N., Bauters, M., Mazn, M., Frenzel, M., Wagner, M., Didion, M., Hamid, M., Lopes, M., Apple, M., Weih, M., Mojses, M., Gualmini, M., Vadeboncoeur, M., Bierbaumer, M., Danger, M., Scherer-Lorenzen, M., Ruek, M., Isabellon, M., Di Musciano, M., Carbognani, M., Zhiyanski, M., Puca, M., Barna, M., Ataka, M., Luoto, M., H. Alsafaran, M., Barsoum, N., Tokuchi, N., Korboulewsky, N., Lecomte, N., Filippova, N., Hlzel, N., Ferlian, O., Romero, O., Pinto-Jr, O., Peri, P., Dan Turtureanu, P., Haase, P., Macreadie, P., Reich, P. B., Petk, P., Choler, P., Marmonier, P., Ponette, Q., Dettogni Guariento, R., Canessa, R., Kiese, R., Hewitt, R., Weigel, R., Kanka, R., Gatti, R. C., Martins, R. L., Ogaya, R., Georges, R., Gaviln, R. G., Wittlinger, S., Puijalon, S., Suzuki, S., Martin, S., Anja, S., Gogo, S., Schueler, S., Drollinger, S., Mereu, S., Wipf, S., Trevathan-Tackett, S., Stoll, S., Lfgren, S., Trogisch, S., Seitz, S., Glatzel, S., Venn, S., Dousset, S., Mori, T., Sato, T., Hishi, T., Nakaji, T., Jean-Paul, T., Camboulive, T., Spiegelberger, T., Scholten, T., Mozdzer, T. J., Kleinebecker, T., Runk, T., Ramaswiela, T., Hiura, T., Enoki, T., Ursu, T. M., Di Cella, U. M., Hamer, U., Klaus, V., Di Cecco, V., Rego, V., Fontana, V., Piscov, V., Bretagnolle, V., Maire, V., Farjalla, V., Pascal, V., Zhou, W., Luo, W., Parker, W., Parker, P., Kominam, Y., Kotrocz, Z., Utsumi, Y., Kwon, T., Shibata, H., Kepfer-Rojas, S., Schmidt, I. K., Larsen, K. S., Beier, C., Berg, B., Verheyen, K., Lamarque, J. F., Hagedorn, F., Eisenhauer, N., Djukic, I., Caliman, A., Paquette, A., Gutiérrez-Girón, A., Petraglia, A., Augustaitis, A., Saillard, A., Ruiz-Fernández, A. C., Sousa, A. I., Lillebø, A. I., Da Rocha Gripp, A., Lamprecht, A., Bohner, A., Francez, A. J., Malyshev, A., Andrić, A., Stanisci, A., Zolles, A., Avila, A., Virkkala, A. M., Probst, A., Ouin, A., Khuroo, A. A., Verstraeten, A., Stefanski, A., Gaxiola, A., Muys, B., Gozalo, B., Ahrends, B., Yang, B., Erschbamer, B., Rodríguez Ortíz, C. E., Christiansen, C. T., Meredieu, C., Mony, C., Nock, C., Wang, C. P., Baum, C., Rixen, C., Delire, C., Piscart, C., Andrews, C., Rebmann, C., Branquinho, C., Jan, D., Wundram, D., Vujanović, D., Adair, E. C., Ordóñez-Regil, E., Crawford, E. R., Tropina, E. F., Hornung, E., Groner, E., Lucot, E., Gacia, E., Lévesque, E., Benedito, E., Davydov, E. A., Bolzan, F. P., Maestre, F. T., Maunoury-Danger, F., Kitz, F., Hofhansl, F., Hofhansl, G., De Almeida Lobo, F., Souza, F. L., Zehetner, F., Koffi, F. K., Wohlfahrt, G., Certini, G., Pinha, G. D., Gonzlez, G., Canut, G., Pauli, H., Bahamonde, H. A., Feldhaar, H., Jger, H., Serrano, H. C., Verheyden, H., Bruelheide, H., Meesenburg, H., Jungkunst, H., Jactel, H., Kurokawa, H., Yesilonis, I., Melece, I., Van Halder, I., Quirós, I. G., Fekete, I., Ostonen, I., Borovsk, J., Roales, J., Shoqeir, J. H., Jean-Christophe Lata, J., Probst, J. L., Vijayanathan, J., Dolezal, J., Sanchez-Cabeza, J. A., Merlet, J., Loehr, J., Von Oppen, J., Löffler, J., Benito Alonso, J. L., Cardoso-Mohedano, J. G., Peñuelas, J., Morina, J. C., Quinde, J. D., Jimnez, J. J., Alatalo, J. M., Seeber, J., Kemppinen, J., Stadler, J., Kriiska, K., Van Den Meersche, K., Fukuzawa, K., Szlavecz, K., Juhos, K., Gerhtov, K., Lajtha, K., Jennings, K., Jennings, J., Ecology, P., Hoshizaki, K., Green, K., Steinbauer, K., Pazianoto, L., Dienstbach, L., Yahdjian, L., Williams, L. J., Brigham, L., Hanna, L., Hanna, H., Rustad, L., Morillas, L., Silva Carneiro, L., Di Martino, L., Villar, L., Fernandes Tavares, L. A., Morley, M., Winkler, M., Lebouvier, M., Tomaselli, M., Schaub, M., Glushkova, M., Torres, M. G. A., De Graaff, M. A., Pons, M. N., Bauters, M., Mazn, M., Frenzel, M., Wagner, M., Didion, M., Hamid, M., Lopes, M., Apple, M., Weih, M., Mojses, M., Gualmini, M., Vadeboncoeur, M., Bierbaumer, M., Danger, M., Scherer-Lorenzen, M., Ruek, M., Isabellon, M., Di Musciano, M., Carbognani, M., Zhiyanski, M., Puca, M., Barna, M., Ataka, M., Luoto, M., H. Alsafaran, M., Barsoum, N., Tokuchi, N., Korboulewsky, N., Lecomte, N., Filippova, N., Hlzel, N., Ferlian, O., Romero, O., Pinto-Jr, O., Peri, P., Dan Turtureanu, P., Haase, P., Macreadie, P., Reich, P. B., Petk, P., Choler, P., Marmonier, P., Ponette, Q., Dettogni Guariento, R., Canessa, R., Kiese, R., Hewitt, R., Weigel, R., Kanka, R., Gatti, R. C., Martins, R. L., Ogaya, R., Georges, R., Gaviln, R. G., Wittlinger, S., Puijalon, S., Suzuki, S., Martin, S., Anja, S., Gogo, S., Schueler, S., Drollinger, S., Mereu, S., Wipf, S., Trevathan-Tackett, S., Stoll, S., Lfgren, S., Trogisch, S., Seitz, S., Glatzel, S., Venn, S., Dousset, S., Mori, T., Sato, T., Hishi, T., Nakaji, T., Jean-Paul, T., Camboulive, T., Spiegelberger, T., Scholten, T., Mozdzer, T. J., Kleinebecker, T., Runk, T., Ramaswiela, T., Hiura, T., Enoki, T., Ursu, T. M., Di Cella, U. M., Hamer, U., Klaus, V., Di Cecco, V., Rego, V., Fontana, V., Piscov, V., Bretagnolle, V., Maire, V., Farjalla, V., Pascal, V., Zhou, W., Luo, W., Parker, W., Parker, P., Kominam, Y., Kotrocz, Z., and Utsumi, Y.

Abstract

Litter decomposition is a key process for carbon and nutrient cycling in terrestrial ecosystems and is mainly controlled by environmental conditions, substrate quantity and quality as well as microbial community abundance and composition. In particular, the effects of climate and atmospheric nitrogen (N) deposition on litter decomposition and its temporal dynamics are of significant importance, since their effects might change over the course of the decomposition process. Within the TeaComposition initiative, we incubated Green and Rooibos teas at 524 sites across nine biomes. We assessed how macroclimate and atmospheric inorganic N deposition under current and predicted scenarios (RCP 2.6, RCP 8.5) might affect litter mass loss measured after 3 and 12 months. Our study shows that the early to mid-term mass loss at the global scale was affected predominantly by litter quality (explaining 73% and 62% of the total variance after 3 and 12 months, respectively) followed by climate and N deposition. The effects of climate were not litter-specific and became increasingly significant as decomposition progressed, with MAP explaining 2% and MAT 4% of the variation after 12 months of incubation. The effect of N deposition was litter-specific, and significant only for 12-month decomposition of Rooibos tea at the global scale. However, in the temperate biome where atmospheric N deposition rates are relatively high, the 12-month mass loss of Green and Rooibos teas decreased significantly with increasing N deposition, explaining 9.5% and 1.1% of the variance, respectively. The expected changes in macroclimate and N deposition at the global scale by the end of this century are estimated to increase the 12-month mass loss of easily decomposable litter by 1.1-3.5% and of the more stable substrates by 3.8-10.6%, relative to current mass loss. In contrast, expected changes in atmospheric N deposition will decrease the mid-term mass loss of high-quality litter by 1.4-2.2% and that of l

Published
2021

10. Early stage litter decomposition across biomes

Author

Djukic, I, Kepfer-Rojas, S, Schmidt, IK, Larsen, KS, Beier, C, Berg, B, Verheyen, K, Caliman, A, Paquette, A, Gutiérrez-Girón, A, Humber, A, Valdecantos, A, Petraglia, A, Alexander, H, Augustaitis, A, Saillard, A, Fernández, ACR, Sousa, AI, Lillebø, AI, da Rocha Gripp, A, Francez, AJ, Fischer, A, Bohner, A, Malyshev, A, Andrić, A, Smith, A, Stanisci, A, Seres, A, Schmidt, A, Avila, A, Probst, A, Ouin, A, Khuroo, AA, Verstraeten, A, Palabral-Aguilera, AN, Stefanski, A, Gaxiola, A, Muys, B, Bosman, B, Ahrends, B, Parker, B, Sattler, B, Yang, B, Juráni, B, Erschbamer, B, Ortiz, CER, Christiansen, CT, Carol Adair, E, Meredieu, C, Mony, C, Nock, CA, Chen, CL, Wang, CP, Baum, C, Rixen, C, Delire, C, Piscart, C, Andrews, C, Rebmann, C, Branquinho, C, Polyanskaya, D, Delgado, DF, Wundram, D, Radeideh, D, Ordóñez-Regil, E, Crawford, E, Preda, E, Tropina, E, Groner, E, Lucot, E, Hornung, E, Gacia, E, Lévesque, E, Benedito, E, Davydov, EA, Ampoorter, E, Bolzan, FP, Varela, F, Kristöfel, F, Maestre, FT, Maunoury-Danger, F, Hofhansl, F, Kitz, F, Sutter, F, Cuesta, F, de Almeida Lobo, F, de Souza, FL, Berninger, F, Zehetner, F, Wohlfahrt, G, Vourlitis, G, Carreño-Rocabado, G, Arena, G, Pinha, GD, González, G, Canut, G, Lee, H, Verbeeck, H, Auge, H, and Pauli, H

Subjects
Environmental Sciences
Abstract

© 2018 Elsevier B.V. Through litter decomposition enormous amounts of carbon is emitted to the atmosphere. Numerous large-scale decomposition experiments have been conducted focusing on this fundamental soil process in order to understand the controls on the terrestrial carbon transfer to the atmosphere. However, previous studies were mostly based on site-specific litter and methodologies, adding major uncertainty to syntheses, comparisons and meta-analyses across different experiments and sites. In the TeaComposition initiative, the potential litter decomposition is investigated by using standardized substrates (Rooibos and Green tea) for comparison of litter mass loss at 336 sites (ranging from −9 to +26 °C MAT and from 60 to 3113 mm MAP) across different ecosystems. In this study we tested the effect of climate (temperature and moisture), litter type and land-use on early stage decomposition (3 months) across nine biomes. We show that litter quality was the predominant controlling factor in early stage litter decomposition, which explained about 65% of the variability in litter decomposition at a global scale. The effect of climate, on the other hand, was not litter specific and explained

Published
2018

13. Evaluation of remaining dentin thickness around the prepared root canals and its influence on the temperature changes on the external root surfaces during different heated gutta-percha obturation techniques.

Author

Balagopal, Sundaresan, C. M., Bejoy Mony, Hemasathya, Bahavathi Ananthan, M., Nazrin, James, Vandana, Sebatni, Anisha, Bejoy Mony, C M, and Nazrin, M

Subjects
CONE beam computed tomography, DENTAL pulp cavities, GUTTA-percha, DENTIN, ONE-way analysis of variance, TEMPERATURE, DENTAL materials, SYNTHETIC gums & resins, ROOT canal treatment, MATERIALS testing
Abstract

Context: Temperature rise on external root surface has a deleterious effect on the periodontium.Aims: To compare and evaluate the temperature changes on the external root surfaces using three different heated gutta-percha obturation techniques and also to evaluate the effect of remaining dentin thickness (RDT) on the temperature rise during obturation.Settings and Design: In vitro study with a customized temperature measurement setup.Materials and Methods: Thirty decoronated human maxillary central incisors were cleaned and shaped using standardized method. RDT was measured using cone beam computed tomography. They were divided into three groups of 10 samples each. Group 1 was obturated by traditional warm vertical compaction, Group 2 using solid core obturation, and Group 3 by warm vertical compaction technique using GP heater in vibration mode. AH Plus sealer was used as cement sealer. During obturation, the temperature rise was measured using K-type thermocouples in the coronal, middle, and apical thirds. The highest temperature rise during the procedure was recorded.Statistical Analysis Used: Data were analyzed by one-way analysis of variance and post hoc Tukey's test.Results: Traditional warm vertical compaction had the highest temperature change followed by warm vertical compaction using GP heater in vibration mode and solid core obturation.Conclusion: There was a temperature rise on external root surfaces in the three techniques evaluated. Solid core obturation technique showed the least temperature change. There was no significance in the effect of RDT on temperature rise during obturation. [ABSTRACT FROM AUTHOR]

Published
2020
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18. Seed quality on dry bean: effect of genotype and water treatment on proteins and RFO seed contents

Author

Piva, G., Bouniols, A., Mondiès, Michel, Mony, C., ProdInra, Migration, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

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

International audience

Published
1999

29. Floristic and ecological diversity of Ranunculus aquatic habitats in the sub-Atlantic range: implications for conservation.

Author

Hawksworth, David L., Bull, Alan T., Mony, C., Mony, J. F., Thiébaut, G., and Muller, S.

Abstract

Ranunculus communities have been identified by the European Community Directive on Conservation of Natural and Semi-Natural Habitats as a key habitat in need of protection. The ecological requirements and floristic composition of three Ranunculus communities were investigated in North-Eastern France. We also aimed to determine the relationships between environmental parameters, Ranunculus abundance and species richness. R. fluitans communities clearly differed from the other communities by a higher evenness and species richness and by the occurrence of specific species. In contrast, R. penicillatus and R. peltatus communities displayed similar floristic content. Three different sub-associations were however identified within these communities. If alkalinity was determinant in isolating R. fluitans communities from the other stretches, the ecological ranges of the three communities strongly overlapped while considering parameters linked with other resources or with physical constraints. Further, no significant correlations were highlighted between environmental parameters, Ranunculus abundance and species richness. With respect to conservation, these observations may indicate the particular difficulty in defining each Ranunculus habitat on a European scale, and identify several key points which need to be taken into account when evaluating their status. [ABSTRACT FROM AUTHOR]

Published
2006
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30. Ditch network sustains functional connectivity and influences patterns of gene flow in an intensive agricultural landscape

Author

Favre-Bac, L, Mony, C, Ernoult, A, Burel, F, and Arnaud, J-F

Abstract

In intensive agricultural landscapes, plant species previously relying on semi-natural habitats may persist as metapopulations within landscape linear elements. Maintenance of populations’ connectivity through pollen and seed dispersal is a key factor in species persistence in the face of substantial habitat loss. The goals of this study were to investigate the potential corridor role of ditches and to identify the landscape components that significantly impact patterns of gene flow among remnant populations. Using microsatellite loci, we explored the spatial genetic structure of two hydrochorous wetland plants exhibiting contrasting local abundance and different habitat requirements: the rare and regionally protected Oenanthe aquatica and the more commonly distributed Lycopus europaeus, in an 83 km2agricultural lowland located in northern France. Both species exhibited a significant spatial genetic structure, along with substantial levels of genetic differentiation, especially for L. europaeus, which also expressed high levels of inbreeding. Isolation-by-distance analysis revealed enhanced gene flow along ditches, indicating their key role in effective seed and pollen dispersal. Our data also suggested that the configuration of the ditch network and the landscape elements significantly affected population genetic structure, with (i) species-specific scale effects on the genetic neighborhood and (ii) detrimental impact of human ditch management on genetic diversity, especially for O. aquatica. Altogether, these findings highlighted the key role of ditches in the maintenance of plant biodiversity in intensive agricultural landscapes with few remnant wetland habitats.

Published
2016
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31. Effects of Climate and Atmospheric Nitrogen Deposition on Early to Mid-Term Stage Litter Decomposition Across Biomes

Author

TaeOh Kwon, Hideaki Shibata, Sebastian Kepfer-Rojas, Inger K. Schmidt, Klaus S. Larsen, Claus Beier, Björn Berg, Kris Verheyen, Jean-Francois Lamarque, Frank Hagedorn, Nico Eisenhauer, Ika Djukic, TeaComposition Network, Inger Kappel Schmidt, Klaus Steenberg Larsen, Jean Francois Lamarque, Adriano Caliman, Alain Paquette, Alba Gutiérrez-Girón, Alessandro Petraglia, Algirdas Augustaitis, Amélie Saillard, Ana Carolina Ruiz-Fernández, Ana I. Sousa, Ana I. Lillebø, Anderson da Rocha Gripp, Andrea Lamprecht, Andreas Bohner, André-Jean Francez, Andrey Malyshev, Andrijana Andrić, Angela Stanisci, Anita Zolles, Anna Avila, Anna-Maria Virkkala, Anne Probst, Annie Ouin, Anzar A. Khuroo, Arne Verstraeten, Artur Stefanski, Aurora Gaxiola, Bart Muys, Beatriz Gozalo, Bernd Ahrends, Bo Yang, Brigitta Erschbamer, Carmen Eugenia Rodríguez Ortíz, Casper T. Christiansen, Céline Meredieu, Cendrine Mony, Charles Nock, Chiao-Ping Wang, Christel Baum, Christian Rixen, Christine Delire, Christophe Piscart, Christopher Andrews, Corinna Rebmann, Cristina Branquinho, Dick Jan, Dirk Wundram, Dušanka Vujanović, E. Carol Adair, Eduardo Ordóñez-Regil, Edward R. Crawford, Elena F. Tropina, Elisabeth Hornung, Elli Groner, Eric Lucot, Esperança Gacia, Esther Lévesque, Evanilde Benedito, Evgeny A. Davydov, Fábio Padilha Bolzan, Fernando T. Maestre, Florence Maunoury-Danger, Florian Kitz, Florian Hofhansl, Flurin Sutter, Francisco de Almeida Lobo, Franco Leadro Souza, Franz Zehetner, Fulgence Kouamé Koffi, Georg Wohlfahrt, Giacomo Certini, Gisele Daiane Pinha, Grizelle González, Guylaine Canut, Harald Pauli, Héctor A. Bahamonde, Heike Feldhaar, Heinke Jäger, Helena Cristina Serrano, Hélène Verheyden, Helge Bruelheide, Henning Meesenburg, Hermann Jungkunst, Hervé Jactel, Hiroko Kurokawa, Ian Yesilonis, Inara Melece, Inge van Halder, Inmaculada García Quirós, István Fekete, Ivika Ostonen, Jana Borovská, Javier Roales, Jawad Hasan Shoqeir, Jean-Christophe Lata, Jean-Luc Probst, Jeyanny Vijayanathan, Jiri Dolezal, Joan-Albert Sanchez-Cabeza, Joël Merlet, John Loehr, Jonathan von Oppen, Jörg Löffler, José Luis Benito Alonso, José-Gilberto Cardoso-Mohedano, Josep Peñuelas, Joseph C. Morina, Juan Darío Quinde, Juan J. Jiménez, Juha M. Alatalo, Julia Seeber, Julia Kemppinen, Jutta Stadler, Kaie Kriiska, Karel Van den Meersche, Karibu Fukuzawa, Katalin Szlavecz, Katalin Juhos, Katarína Gerhátová, Kate Lajtha, Katie Jennings, Katja Tielbörger, Kazuhiko Hoshizaki, Ken Green, Klaus Steinbauer, Laryssa Pazianoto, Laura Dienstbach, Laura Yahdjian, Laura J. Williams, Laurel Brigham, Lee Hanna, Liesbeth van den Brink, Lindsey Rustad, Lourdes Morillas, Luciana Silva Carneiro, Luciano Di Martino, Luis Villar, Luísa Alícida Fernandes Tavares, Madison Morley, Manuela Winkler, Marc Lebouvier, Marcello Tomaselli, Marcus Schaub, Maria Glushkova, Maria Guadalupe Almazan Torres, Marie-Anne de Graaff, Marie-Noëlle Pons, Marijn Bauters, Marina Mazón, Mark Frenzel, Markus Wagner, Markus Didion, Maroof Hamid, Marta Lopes, Martha Apple, Martin Weih, Matej Mojses, Matteo Gualmini, Matthew Vadeboncoeur, Michael Bierbaumer, Michael Danger, Michael Scherer-Lorenzen, Michal Růžek, Michel Isabellon, Michele Di Musciano, Michele Carbognani, Miglena Zhiyanski, Mihai Puşcaş, Milan Barna, Mioko Ataka, Miska Luoto, Mohammed H. Alsafaran, Nadia Barsoum, Naoko Tokuchi, Nathalie Korboulewsky, Nicolas Lecomte, Nina Filippova, Norbert Hölzel, Olga Ferlian, Oscar Romero, Osvaldo Pinto-Jr, Pablo Peri, Pavel Dan Turtureanu, Peter Haase, Peter Macreadie, Peter B. Reich, Petr Petřík, Philippe Choler, Pierre Marmonier, Quentin Ponette, Rafael Dettogni Guariento, Rafaella Canessa, Ralf Kiese, Rebecca Hewitt, Robert Weigel, Róbert Kanka, Roberto Cazzolla Gatti, Rodrigo Lemes Martins, Romà Ogaya, Romain Georges, Rosario G. Gavilán, Sally Wittlinger, Sara Puijalon, Satoshi Suzuki, Schädler Martin, Schmidt Anja, Sébastien Gogo, Silvio Schueler, Simon Drollinger, Simone Mereu, Sonja Wipf, Stacey Trevathan-Tackett, Stefan Stoll, Stefan Löfgren, Stefan Trogisch, Steffen Seitz, Stephan Glatzel, Susanna Venn, Sylvie Dousset, Taiki Mori, Takanori Sato, Takuo Hishi, Tatsuro Nakaji, Theurillat Jean-Paul, Thierry Camboulive, Thomas Spiegelberger, Thomas Scholten, Thomas J. Mozdzer, Till Kleinebecker, Tomáš Rusňák, Tshililo Ramaswiela, Tsutom Hiura, Tsutomu Enoki, Tudor-Mihai Ursu, Umberto Morra di Cella, Ute Hamer, Valentin Klaus, Valter Di Cecco, Vanessa Rego, Veronika Fontana, Veronika Piscová, Vincent Bretagnolle, Vincent Maire, Vinicius Farjalla, Vittoz Pascal, Wenjun Zhou, Wentao Luo, William Parker, Yasuhiro Utsumi, Yuji Kominami, Zsolt Kotroczó, Zsolt Tóth, Field Science Center for Northern Biosphere, Hokkaido University [Sapporo, Japan], Department of Geosciences and Natural Resource Management [Copenhagen] (IGN), Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Department of Forest Sciences [Helsinki], Faculty of Agriculture and Forestry [Helsinki], University of Helsinki-University of Helsinki, Department of Forest and Water Management, Forest & Nature Lab, Universiteit Gent = Ghent University [Belgium] (UGENT), National Center for Atmospheric Research [Boulder] (NCAR), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, German Centre for Integrative Biodiversity Research (iDiv), Institute of Biology, Leipzig University, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Zone Atelier du Bassin de la Moselle [LTSER France] (ZAM), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), 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)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes forestiers (UR EFNO), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Équipe 3 - Écologie, Évolution, Écosystemes Souterrains (E3S), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)-Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)-Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), ZABR UMR 5023 VILLEURBANNE CEDEX, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Équipe 2 - Écologie Végétale et Zones Humides (EVZH), Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Repositório da Universidade de Lisboa, Centre National de la Recherche Scientifique - CNRS (FRANCE), University of Helsinki (FINLAND), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Hokkaido University (JAPAN), German Centre for Integrative Biodiversity Research - iDiv (GERMANY), Universität Leipzig (GERMANY), National Center for Atmospheric Research - NCAR (UNITED STATES), Forschungsanstalt für Wald, Schnee und Landschaft - WSL (SWITZERLAND), Tea composition (SWITZERLAND), Universiteit Gent - UGENT (BELGIUM), University of Copenhagen - UCPH (DENMARK), Laboratoire Ecologie fonctionnelle et Environnement - EcoLab (Toulouse, France), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Universiteit Gent = Ghent University (UGENT), Leipzig University, 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), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Muys, Bart, Department of Forest Sciences, Lammi Biological Station, Biological stations, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), BioGeoClimate Modelling Lab, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), 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)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Kwon T., Shibata H., Kepfer-Rojas S., Schmidt I.K., Larsen K.S., Beier C., Berg B., Verheyen K., Lamarque J.-F., Hagedorn F., Eisenhauer N., Djukic I., Caliman A., Paquette A., Gutierrez-Giron A., Petraglia A., Augustaitis A., Saillard A., Ruiz-Fernandez A.C., Sousa A.I., Lillebo A.I., Da Rocha Gripp A., Lamprecht A., Bohner A., Francez A.-J., Malyshev A., Andric A., Stanisci A., Zolles A., Avila A., Virkkala A.-M., Probst A., Ouin A., Khuroo A.A., Verstraeten A., Stefanski A., Gaxiola A., Muys B., Gozalo B., Ahrends B., Yang B., Erschbamer B., Rodriguez Ortiz C.E., Christiansen C.T., Meredieu C., Mony C., Nock C., Wang C.-P., Baum C., Rixen C., Delire C., Piscart C., Andrews C., Rebmann C., Branquinho C., Jan D., Wundram D., Vujanovic D., Adair E.C., Ordonez-Regil E., Crawford E.R., Tropina E.F., Hornung E., Groner E., Lucot E., Gacia E., Levesque E., Benedito E., Davydov E.A., Bolzan F.P., Maestre F.T., Maunoury-Danger F., Kitz F., Hofhansl F., Hofhansl G., De Almeida Lobo F., Souza F.L., Zehetner F., Koffi F.K., Wohlfahrt G., Certini G., Pinha G.D., Gonzlez G., Canut G., Pauli H., Bahamonde H.A., Feldhaar H., Jger H., Serrano H.C., Verheyden H., Bruelheide H., Meesenburg H., Jungkunst H., Jactel H., Kurokawa H., Yesilonis I., Melece I., Van Halder I., Quiros I.G., Fekete I., Ostonen I., Borovsk J., Roales J., Shoqeir J.H., Jean-Christophe Lata J., Probst J.-L., Vijayanathan J., Dolezal J., Sanchez-Cabeza J.-A., Merlet J., Loehr J., Von Oppen J., Loffler J., Benito Alonso J.L., Cardoso-Mohedano J.-G., Penuelas J., Morina J.C., Quinde J.D., Jimnez J.J., Alatalo J.M., Seeber J., Kemppinen J., Stadler J., Kriiska K., Van Den Meersche K., Fukuzawa K., Szlavecz K., Juhos K., Gerhtov K., Lajtha K., Jennings K., Jennings J., Ecology P., Hoshizaki K., Green K., Steinbauer K., Pazianoto L., Dienstbach L., Yahdjian L., Williams L.J., Brigham L., Hanna L., Hanna H., Rustad L., Morillas L., Silva Carneiro L., Di Martino L., Villar L., Fernandes Tavares L.A., Morley M., Winkler M., Lebouvier M., Tomaselli M., Schaub M., Glushkova M., Torres M.G.A., De Graaff M.-A., Pons M.-N., Bauters M., Mazn M., Frenzel M., Wagner M., Didion M., Hamid M., Lopes M., Apple M., Weih M., Mojses M., Gualmini M., Vadeboncoeur M., Bierbaumer M., Danger M., Scherer-Lorenzen M., Ruek M., Isabellon M., Di Musciano M., Carbognani M., Zhiyanski M., Puca M., Barna M., Ataka M., Luoto M., H. Alsafaran M., Barsoum N., Tokuchi N., Korboulewsky N., Lecomte N., Filippova N., Hlzel N., Ferlian O., Romero O., Pinto-Jr O., Peri P., Dan Turtureanu P., Haase P., Macreadie P., Reich P.B., Petk P., Choler P., Marmonier P., Ponette Q., Dettogni Guariento R., Canessa R., Kiese R., Hewitt R., Weigel R., Kanka R., Cazzolla Gatti R., Martins R.L., Ogaya R., Georges R., Gaviln R.G., Wittlinger S., Puijalon S., Suzuki S., Martin S., Anja S., Gogo S., Schueler S., Drollinger S., Mereu S., Wipf S., Trevathan-Tackett S., Stoll S., Lfgren S., Trogisch S., Seitz S., Glatzel S., Venn S., Dousset S., Mori T., Sato T., Hishi T., Nakaji T., Jean-Paul T., Camboulive T., Spiegelberger T., Scholten T., Mozdzer T.J., Kleinebecker T., Runk T., Ramaswiela T., Hiura T., Enoki T., Ursu T.-M., Di Cella U.M., Hamer U., Klaus V., Di Cecco V., Rego V., Fontana V., Piscov V., Bretagnolle V., Maire V., Farjalla V., Pascal V., Zhou W., Luo W., Parker W., Parker P., Kominam Y., Kotrocz Z., and Utsumi Y.

Subjects
010504 meteorology & atmospheric sciences, tea bag, Green tea, Rooibos tea, litter decomposition, carbon turnover, nitrogen deposition, TeaComposition initiative, Biome, SOIL MICROBIAL COMMUNITIES, tea bag, Green tea, Rooibos tea, litter decomposition, carbon turnover, nitrogen deposition, TeaComposition initiative, Carbon turnover, Nitrogen deposition -TeaComposition initiative, Suelo, Flora Microbiana, 01 natural sciences, [SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry, GE1-350, Ecosistemas Terrestres, Global and Planetary Change, Nutrient Cycling, Té Verde, Nitrogen deposition - TeaComposition initiative, [SDE.IE]Environmental Sciences/Environmental Engineering, Forestry, Biomas, [SDE]Environmental Sciences, Terrestrial ecosystem, [SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology, Biologie, Nitrogen, [SDE.MCG]Environmental Sciences/Global Changes, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, Animal science, LEAF, ORGANIC-CARBON, Carbono, RATES, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, climate, Escala Global, Nature and Landscape Conservation, Nutrientes, forests, Ecologie, Environnement, Science & Technology, 15. Life on land, worldwide experiment, [SDE.ES]Environmental Sciences/Environmental and Society, Carbon, Biology and Microbiology, Agriculture and Soil Science, Precipitación Atmosférica, Cambio Climático, Litter, 0401 agriculture, forestry, and fisheries, Tea Composition initiative, N-deposition, Deposition (chemistry), Global Scale, RESPONSES, Terrestrial Ecosystems, [SDV]Life Sciences [q-bio], Precipitation, Biomes, Degradation, Soil, Té Rooibos, FOLIAR LITTER, TEMPERATURE, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Ecology, Nitrógeno, Temperature, Litter decomposition, 04 agricultural and veterinary sciences, Temperatura, Ciclo de Nutrientes, 1181 Ecology, evolutionary biology, Life Sciences & Biomedicine, Nutrient cycle, Climate Change, Environmental Sciences & Ecology, Environmental Science (miscellaneous), Degradación, Liter Descomposition, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Temperate climate, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, 0105 earth and related environmental sciences, Microbial Flora, AVAILABILITY, Chemical process of decomposition, Bolsa de Té, Nutrients, Descomposición de Hojas, SD1-669.5, Decomposition, N DEPOSITION, Environmental sciences, Tea bag, 13. Climate action, Earth and Environmental Sciences, 040103 agronomy & agriculture, PATTERNS, Environmental science, cavelab, Nitrogen deposition, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

Este artículo contiene 18 páginas, 5 tablas, 4 figuras., Litter decomposition is a key process for carbon and nutrient cycling in terrestrial ecosystems and is mainly controlled by environmental conditions, substrate quantity and quality as well as microbial community abundance and composition. In particular, the effects of climate and atmospheric nitrogen (N) deposition on litter decomposition and its temporal dynamics are of significant importance, since their effects might change over the course of the decomposition process. Within the TeaComposition initiative, we incubated Green and Rooibos teas at 524 sites across nine biomes. We assessed how macroclimate and atmospheric inorganic N deposition under current and predicted scenarios (RCP 2.6, RCP 8.5) might affect litter mass loss measured after 3 and 12 months. Our study shows that the early to mid-term mass loss at the global scale was affected predominantly by litter quality (explaining 73% and 62% of the total variance after 3 and 12 months, respectively) followed by climate and N deposition. The effects of climate were not litter-specific and became increasingly significant as decomposition progressed, with MAP explaining 2% and MAT 4% of the variation after 12 months of incubation. The effect of N deposition was litter-specific, and significant only for 12-month decomposition of Rooibos tea at the global scale. However, in the temperate biome where atmospheric N deposition rates are relatively high, the 12- month mass loss of Green and Rooibos teas decreased significantly with increasing N deposition, explaining 9.5% and 1.1% of the variance, respectively. The expected changes in macroclimate and N deposition at the global scale by the end of this century are estimated to increase the 12-month mass loss of easily decomposable litter by 1.1– 3.5% and of the more stable substrates by 3.8–10.6%, relative to current mass loss.In contrast, expected changes in atmospheric N deposition will decrease the mid-term mass loss of high-quality litter by 1.4–2.2% and that of low-quality litter by 0.9–1.5% in the temperate biome. Our results suggest that projected increases in N deposition may have the capacity to dampen the climate-driven increases in litter decomposition depending on the biome and decomposition stage of substrate., This work was performed within the TeaComposition initiative, carried out by 190 institutions worldwide. We thank for funding support for the workshop and data analysis from the ILTER. We acknowledge support by the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (FZT 118), Scientific Grant Agency VEGA (Grant No. 2/0101/18), as well as by the European Research Council under the European Union’s Horizon 2020 Research and Innovation Program (Grant Agreement No. 677232). Thanks are due to FCT/MCTES for the financial support to CESAM (UIDB/50017/2020 + UIDP/50017/2020) and to the project PORBIOTA (POCI-01-0145-FEDER-022127). AI Sousa was funded by national funds through the FCTFoundation for Science and Technology, I.P., under the project CEECIND/00962/2017. HS and CB acknowledge FCT support to cE3c through UID/BIA/00329/2013, UID/BIA/00329/2019, and UIDB/00329/2020, and the project PORBIOTA - POCI-01- 0145-FEDER-022127. We are also thankful to UNILEVER for sponsoring the Lipton tea.

Published
2021

32. Early stage litter decomposition across biomes

Author

Umberto Morra di Cella, Sean P. Charles, Matteo Gualmini, Naoko Tokuchi, Michael Mirtl, Marta Lobão Lopes, Takeshi Ise, Inmaculada García Quirós, Geovana Carreño-Rocabado, Arne Verstraeten, Joan-Albert Sanchez-Cabeza, Thomas Zechmeister, Jill Thompson, Norbert Hölzel, Maroof Hamid, Rodrigo Lemes Martins, Taiki Mori, José Marcelo Domingues Torezan, Dana Polyanskaya, Peter Haase, Björn Berg, Angela Stanisci, Issaka Senou, Inger Kappel Schmidt, Markus Wagner, Adriano Caliman, Laurel M. Brigham, Alejandro Valdecantos, Céline Meredieu, Kalifa Coulibaly, Margarida Santos-Reis, Georg Wohlfahrt, Regin Rønn, Marcello Tomaselli, Martin Weih, Bernd Ahrends, Kaie Kriiska, Anja Schmidt, Luciana S. Carneiro, Ana I. Lillebø, Alessandro Petraglia, Algirdas Augustaitis, Ana I. Sousa, Sonja Wipf, Chi-Ling Chen, Hassan Bismarck Nacro, Sue J. Milton, Ivan Mihal, Ika Djukic, Florence Maunoury-Danger, Peter Fleischer, Tatsuro Nakaji, Cendrine Mony, Sara Puijalon, Rafael D. Guariento, Rosa Isela Meneses, Mihai Pușcaș, Pablo Luis Peri, Flurin Sutter, Kate Lajtha, Peter B. Reich, Lindsey E. Rustad, María Guadalupe Almazán Torres, Laura Williams, George L. Vourlitis, Evanilde Benedito, Arely N. Palabral-Aguilera, Luis Villar, Stefanie Hoeber, Juan J. Jiménez, Esperança Gacia, Alba Gutiérrez-Girón, Kazuhiko Hoshizaki, Takanori Sato, Eric Lucot, Osvaldo Borges Pinto, Artur Stefanski, Andrew R. Smith, Takuo Hishi, Rosario G. Gavilán, Till Kleinebecker, Julia Seeber, Gina Arena, Marcelo Sternberg, Mo Jiangming, Tsutom Hiura, Satoshi N. Suzuki, Jeyanny Vijayanathan, Christine Delire, Francisco Cuesta, Bill Parker, Mark Frenzel, Franz Zehetner, Vincent Maire, Edward Crawford, Heinke Jäger, Nicolas Lecomte, Tanaka Kenta, Yuji Kominami, Joseph C. Morina, Paige E. Weber, Pavel Dan Turtureanu, Marc Lebouvier, Pascal Vittoz, Jónína Sigríður Þorláksdóttir, Anne Probst, David Fuentes Delgado, Laura Yahdjian, Johan Neirynck, Isaac Ahanamungu Makelele, Bernard Bosman, Fábio Padilha Bolzan, Yury Rozhkov, Ute Hamer, Henning Meesenburg, Vinicius F. Farjalla, Steffen Seitz, Marie-Noëlle Pons, Jess K. Zimmerman, Hans Verbeeck, Thomas Scholten, Elena Preda, Thomas Spiegelberger, Romain Georges, Stefan Löfgren, Ferdinand Kristöfel, Pierre Marmonier, Juha M. Alatalo, Katalin Szlavecz, Ana Carolina Ruiz Fernández, Johannes M. H. Knops, Rita Adrian, Vanessa Mendes Rêgo, Jean-Christophe Lata, Rafaella Canessa, Kathrin Käppeler, Andrea Fischer, Michael Bierbaumer, Jiří Doležal, Hideaki Shibata, Marcus Schaub, Zsolt Toth, Diyaa Radeideh, Matthew A. Vadeboncoeur, Robert Kanka, William H. McDowell, Birgit Sattler, Jean-Luc Probst, Mioko Ataka, Katarína Gerhátová, Jawad Shoqeir, Stefan Stoll, Michael Danger, Sébastien Gogo, Katja Tielbörger, Laryssa Helena Ribeiro Pazianoto, Bo Yang, Franco L. Souza, John Loehr, Francisco de Almeida Lobo, Michael J. Liddell, Sylvie Dousset, Dirk Wundram, Ralf Kiese, Yalin Hu, Miglena Zhiyanski, José-Luis Benito-Alonso, Katie A. Jennings, Tsutomu Enoki, Helena Cristina Serrano, Quentin Ponette, Helge Bruelheide, Simon Drollinger, Vincent Bretagnolle, Ivika Ostonen, Lambiénou Yé, Javier Roales, Philippe Choler, Madison Morley, Charles A. Nock, Grizelle González, Tudor-Mihai Ursu, Maaike Y. Bader, Cristina Branquinho, Hugo López Rosas, Nina V. Filippova, Erzsébet Hornung, Anzar A. Khuroo, Lourdes Morillas, Harald Auge, Andreas Bohner, Florian Kitz, Stephan Glatzel, Aurora Gaxiola, Marijn Bauters, Stefan Trogisch, Guylaine Canut, Oscar Romero, Hélène Verheyden, Yulia Zaika, Veronika Piscová, Michael Scherer-Lorenzen, Valentin H. Klaus, Elena Tropina, Michele Di Musciano, Marie-Andrée Giroux, Florian Hofhansl, Wenjun Zhou, Corinna Rebmann, Thomas J. Mozdzer, Zsolt Kotroczó, Evy Ampoorter, Michal Růžek, Jana Borovská, Jianwu Tang, Petr Petřík, Juan Dario Quinde, Simone Mereu, Esther Lévesque, Olga Ferlian, Veronika Fontana, Joël Merlet, Stacey M. Trevathan-Tackett, André-Jean Francez, Wentao Luo, Héctor Alejandro Bahamonde, Roberto Cazzolla Gatti, Brigitta Erschbamer, Christopher Andrews, Marie-Anne de Graaff, Martin Schädler, Luciano Di Martino, Verena Busch, Elli Groner, Victoria Carbonell, Michinari Matsushita, Maria Glushkova, Sarah Freda, Alain Paquette, Annie Ouin, Robert Weigel, Monique Carnol, Bohdan Juráni, Ian D. Yesilonis, Jean-Paul Theurillat, Hugo L. Rojas Villalobos, Alberto Humber, Martha Apple, Nico Eisenhauer, Claus Beier, Hermann F. Jungkunst, Hiroko Kurokawa, Nadia Barsoum, Thierry Camboulive, Klaus Steenberg Larsen, Frank Berninger, Laura Dienstbach, Yasuhiro Utsumi, Inara Melece, Felipe Varela, Sally Wittlinger, Christian Rixen, Valter Di Cecco, Anderson da Rocha Gripp, Marina Mazón, E. Carol Adair, Hanna Lee, István Fekete, Liesbeth van den Brink, José-Gilberto Cardoso-Mohedano, Ken Green, Heike Feldhaar, Jonathan von Oppen, Michele Carbognani, Lu Xiankai, Christophe Piscart, Fernando T. Maestre, Karibu Fukuzawa, Chiao-Ping Wang, Bart Muys, Lipeng Zhang, Harald Pauli, Inge van Halder, Carmen Eugenia Rodríguez Ortíz, Eduardo Ordóñez-Regil, Priscilla Muriel, Heather D. Alexander, Sebastian Kepfer-Rojas, Victoria Ochoa, Casper T. Christiansen, Mohammed Alsafran, Thaisa Sala Michelan, Christel Baum, Amélie Saillard, Hervé Jactel, Markus Didion, Evgeny A. Davydov, Sabyasachi Dasgupta, Anna Avila, Andrijana Andrić, Kris Verheyen, Jörg Löffler, Gisele Daiane Pinha, Anikó Seres, Jutta Stadler, Milan Barna, Andrey V. Malyshev, Rebecca E. Hewitt, Joh R. Henschel, Peter I. Macreadie, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Norwegian Institute for Water Research (NIVA), Swedish University of Agricultural Sciences (SLU), Dept Forest & Water Management, Lab Forestry, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre for Forest Research (CFR), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-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 (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-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), Université de Rennes (UNIV-RENNES)-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), Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-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)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, European Forest Institute = Institut Européen de la Forêt = Euroopan metsäinstituutti (EFI), Institute of Information Engineering [Beijing] (IIE), Chinese Academy of Sciences [Beijing] (CAS), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), University of Rostock, WSL Institute for Snow and Avalanche Research SLF, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Department Computational Hydrosystems [UFZ Leipzig], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Département de chimie-biologie & Centre d’études nordiques [CANADA], Université du Québec à Trois-Rivières (UQTR), Area de Biodiversidad y Conservaciín, Universidad Rey Juan Carlos [Madrid] (URJC), Laboratoire Interdisciplinaire des Environnements Continentaux (LIEC), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Terre et Environnement de Lorraine (OTELo), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Soil Research, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Institute of Ecology, University of Innsbruck, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-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)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Computational & Applied Vegetation Ecology (CAVElab), Department Community Ecology [UFZ Leipzig], University of Vienna [Vienna], Institut du Développement rural (IDR), Université Polytechnique Nazi Boni Bobo-Dioulasso (UNB), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Institut National de la Recherche Agronomique (INRA), Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Tohoku University [Sendai], Institute of Ecology and Earth Sciences [Tartu], University of Tartu, Institut d'écologie et des sciences de l'environnement de Paris (iEES), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Centre alpien de Phytogéographie (CAP), Fondation Jean-Marcel Aubert, Inst Trop Ecosyst Studies, University of Puerto Rico (UPR), Universidad de Valladolid [Valladolid] (UVa), Mountain Agriculture Research Unit, Centre international de recherche-développement sur l'élevage en zone sub-humide (CIRDES), Centre Universitaire Polytechnique de Dédougou (CUP-D), Université Joseph Ki-Zerbo [Ouagadougou] (UJZK), USDA Forest Service, Instituto Pirenaico de Ecologia = Pyrenean Institute of Ecology (IPE), Station Biologique de Paimpont CNRS UMR 6653 (OSUR), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institute of Pharmacology and Toxicology [Zurich], Universität Zürich [Zürich] = University of Zurich (UZH), Centre for Ecology - Evolution and Environmental Changes (cE3c) - Faculdade de Ciências, Universidade de Lisboa = University of Lisbon (ULISBOA), Canada Research in Northern Biodiversity, Université du Québec à Rimouski (UQAR), Laboratoire Réactions et Génie des Procédés (LRGP), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Zone Atelier du Bassin de la Moselle [LTSER France] (ZAM), Department of Crop Production Ecology, University of Freiburg, Forest Research Institute- BAS, Bulgarian Academy of Sciences (BAS), Lab Plant & Microbial Ecol, Inst Bot B22, Université de Liège, Laboratoire Dynamique de la Biodiversité (LADYBIO), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Leipzig University, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Universitat Politècnica de Catalunya [Barcelona] (UPC), Université de Lausanne = University of Lausanne (UNIL), Department of Limnology and Conservation, Senckenberg Research Institutes and Natural History Museums, Department of Forest Resources, University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain = Catholic University of Louvain (UCL), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Institut des Sciences de la Terre d'Orléans - UMR7327 (ISTO), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Biogéosystèmes Continentaux - UMR7327, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Department of Science for Nature and Natural Resources, Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Tomakomai Research Station, Field Science Center for Northern Biosphere, Hokkaido University [Sapporo, Japan], Bangor University, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), LTSER «Zone Atelier Plaine & Val de Sevre» [France], Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Condensed Matter Theory Laboratory RIKEN (RIKEN), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), 730938, Biological Interactions Doctoral Programme, Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, 2/0101/18, Scientific Grant Agency VEGA, 2190, Fundación Charles Darwin, UID/AMB/50017, Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro, ILTER Initiative Grant, ClimMani Short-Term Scientific Missions Grant, ES1308-231015-068365, Austrian Environment Agency, SFRH/BPD/107823/2015, Portuguese Foundation, DEB-1557009, NSF, UID/BIA/00329/2013, Fundação para a Ciência e Tecnologia, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), 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)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), University of Helsinki, Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Centre alpien de Phytogéographie, Fondation J.-M. Aubert, Centre international de recherche-développement sur l'élevage en zone Subhumide (CIRDES), Centre international de recherche-développement sur l'élevage en zone Subhumide, Instituto Pirenaico de Ecologia (IPE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), University of Lisbon, Université de Leipzig, Westfälische Wilhelms-Universität Münster (WWU), Université de Lausanne (UNIL), University of Sassari, Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), 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), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Laboratoire Chrono-environnement (UMR 6249) (LCE), Leopold Franzens Universität Innsbruck - University of Innsbruck, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), Université de Rennes (UR), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Météo France (FRANCE), UCL - SST/ELI/ELIE - Environmental Sciences, Swiss Federal Institute for Forest, Snow and Avalanche Research WSL, Swedish University of Agricultural Sciences - Department of Forest Soils, Ghent University [Belgium] (UGENT), Université du Québec à Montréal (UQAM), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Spanish National Institute for Agriculture and Food Research and Technology (INIA), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Science Politique Relations Internationales Territoire (SPIRIT), Université Montesquieu - Bordeaux 4-Institut d'Études Politiques [IEP] - Bordeaux-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Bordeaux (UB)-Institut National de la Recherche Agronomique (INRA), University of Rostock [Germany], Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Helmholtz Centre for Environmental Research (UFZ), Universiteit Gent [Ghent], Laboratoire de Comportement et d'Ecologie de la Faune Sauvage, INRA, 31326 Castanet-Tolosan cedex, France, Institut d'écologie et des sciences de l'environnement de Paris (IEES), Universidad de Puerto Rico, Centre Universitaire Polytechnique de Dédougou, Université de Ouagadougou, Instituto Pirenaico de Ecología, IPE-CSIC, University of Zürich [Zürich] (UZH), LTSER Zone Atelier du Bassin de la Moselle, Helmholtz Zentrum für Umweltforschung (UFZ), Institute of Terrestrial Ecosystems, University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE), Université Catholique de Louvain (UCL), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Hokkaido University, Technische Universität Dresden (TUD), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR), LTSER Zone Atelier Plaine & Val de Sèvre, Djukic I., Kepfer-Rojas S., Schmidt I.K., Larsen K.S., Beier C., Berg B., Verheyen K., Caliman A., Paquette A., Gutierrez-Giron A., Humber A., Valdecantos A., Petraglia A., Alexander H., Augustaitis A., Saillard A., Fernandez A.C.R., Sousa A.I., Lillebo A.I., da Rocha Gripp A., Francez A.-J., Fischer A., Bohner A., Malyshev A., Andric A., Smith A., Stanisci A., Seres A., Schmidt A., Avila A., Probst A., Ouin A., Khuroo A.A., Verstraeten A., Palabral-Aguilera A.N., Stefanski A., Gaxiola A., Muys B., Bosman B., Ahrends B., Parker B., Sattler B., Yang B., Jurani B., Erschbamer B., Ortiz C.E.R., Christiansen C.T., Carol Adair E., Meredieu C., Mony C., Nock C.A., Chen C.-L., Wang C.-P., Baum C., Rixen C., Delire C., Piscart C., Andrews C., Rebmann C., Branquinho C., Polyanskaya D., Delgado D.F., Wundram D., Radeideh D., Ordonez-Regil E., Crawford E., Preda E., Tropina E., Groner E., Lucot E., Hornung E., Gacia E., Levesque E., Benedito E., Davydov E.A., Ampoorter E., Bolzan F.P., Varela F., Kristofel F., Maestre F.T., Maunoury-Danger F., Hofhansl F., Kitz F., Sutter F., Cuesta F., de Almeida Lobo F., de Souza F.L., Berninger F., Zehetner F., Wohlfahrt G., Vourlitis G., Carreno-Rocabado G., Arena G., Pinha G.D., Gonzalez G., Canut G., Lee H., Verbeeck H., Auge H., Pauli H., Nacro H.B., Bahamonde H.A., Feldhaar H., Jager H., Serrano H.C., Verheyden H., Bruelheide H., Meesenburg H., Jungkunst H., Jactel H., Shibata H., Kurokawa H., Rosas H.L., Rojas Villalobos H.L., Yesilonis I., Melece I., Van Halder I., Quiros I.G., Makelele I., Senou I., Fekete I., Mihal I., Ostonen I., Borovska J., Roales J., Shoqeir J., Lata J.-C., Theurillat J.-P., Probst J.-L., Zimmerman J., Vijayanathan J., Tang J., Thompson J., Dolezal J., Sanchez-Cabeza J.-A., Merlet J., Henschel J., Neirynck J., Knops J., Loehr J., von Oppen J., Thorlaksdottir J.S., Loffler J., Cardoso-Mohedano J.-G., Benito-Alonso J.-L., Torezan J.M., Morina J.C., Jimenez J.J., Quinde J.D., Alatalo J., Seeber J., Stadler J., Kriiska K., Coulibaly K., Fukuzawa K., Szlavecz K., Gerhatova K., Lajtha K., Kappeler K., Jennings K.A., Tielborger K., Hoshizaki K., Green K., Ye L., Pazianoto L.H.R., Dienstbach L., Williams L., Yahdjian L., Brigham L.M., van den Brink L., Rustad L., Zhang L., Morillas L., Xiankai L., Carneiro L.S., Di Martino L., Villar L., Bader M.Y., Morley M., Lebouvier M., Tomaselli M., Sternberg M., Schaub M., Santos-Reis M., Glushkova M., Torres M.G.A., Giroux M.-A., de Graaff M.-A., Pons M.-N., Bauters M., Mazon M., Frenzel M., Didion M., Wagner M., Hamid M., Lopes M.L., Apple M., Schadler M., Weih M., Gualmini M., Vadeboncoeur M.A., Bierbaumer M., Danger M., Liddell M., Mirtl M., Scherer-Lorenzen M., Ruzek M., Carbognani M., Di Musciano M., Matsushita M., Zhiyanski M., Puscas M., Barna M., Ataka M., Jiangming M., Alsafran M., Carnol M., Barsoum N., Tokuchi N., Eisenhauer N., Lecomte N., Filippova N., Holzel N., Ferlian O., Romero O., Pinto O.B., Peri P., Weber P., Vittoz P., Turtureanu P.D., Fleischer P., Macreadie P., Haase P., Reich P., Petrik P., Choler P., Marmonier P., Muriel P., Ponette Q., Guariento R.D., Canessa R., Kiese R., Hewitt R., Ronn R., Adrian R., Kanka R., Weigel R., Gatti R.C., Martins R.L., Georges R., Meneses R.I., Gavilan R.G., Dasgupta S., Wittlinger S., Puijalon S., Freda S., Suzuki S., Charles S., Gogo S., Drollinger S., Mereu S., Wipf S., Trevathan-Tackett S., Lofgren S., Stoll S., Trogisch S., Hoeber S., Seitz S., Glatzel S., Milton S.J., Dousset S., Mori T., Sato T., Ise T., Hishi T., Kenta T., Nakaji T., Michelan T.S., Camboulive T., Mozdzer T.J., Scholten T., Spiegelberger T., Zechmeister T., Kleinebecker T., Hiura T., Enoki T., Ursu T.-M., di Cella U.M., Hamer U., Klaus V.H., Rego V.M., Di Cecco V., Busch V., Fontana V., Piscova V., Carbonell V., Ochoa V., Bretagnolle V., Maire V., Farjalla V., Zhou W., Luo W., McDowell W.H., Hu Y., Utsumi Y., Kominami Y., Zaika Y., Rozhkov Y., Kotroczo Z., Toth Z., and Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)

Subjects
DYNAMICS, 010504 meteorology & atmospheric sciences, Biome, Biochimie, Biologie Moléculaire, Carbon turnover, 01 natural sciences, CARBON, Waste Management and Disposal, ComputingMilieux_MISCELLANEOUS, CLIMATE-CHANGE, биомы, Tea bag, Green tea, Rooibos tea, Carbon turnover, TeaComposition initiative, 04 agricultural and veterinary sciences, Pollution, Environmental chemistry, [SDE]Environmental Sciences, Terrestrial ecosystem, Life Sciences & Biomedicine, Biologie, TRAITS, Rooibos tea, IMPACTS, Environmental Engineering, почвенные процессы, chemistry.chemical_element, Climate change, Environmental Sciences & Ecology, Ingénierie de l'environnement, Green tea, Tea bag, TeaComposition initiative, Ecology and Environment, Atmosphere, подстилки, Environmental Chemistry, Ecosystem, RATES, 0105 earth and related environmental sciences, оборот углерода, Science & Technology, Tea composition initiative, FEEDBACK, 15. Life on land, Decomposition, влияние климата, TERRESTRIAL ECOSYSTEMS, MODEL, экосистемы, chemistry, 13. Climate action, PATTERNS, 040103 agronomy & agriculture, Litter, 0401 agriculture, forestry, and fisheries, Environmental science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 500 Naturwissenschaften und Mathematik::570 Biowissenschaften, Biologie::577 Ökologie, Carbon, Environmental Sciences
Abstract

Through litter decomposition enormous amounts of carbon is emitted to the atmosphere. Numerous large-scale decomposition experiments have been conducted focusing on this fundamental soil process in order to understand the controls on the terrestrial carbon transfer to the atmosphere. However, previous studies were mostly based on site-specific litter and methodologies, adding major uncertainty to syntheses, comparisons and meta-analyses across different experiments and sites. In the TeaComposition initiative, the potential litter decomposition is investigated by using standardized substrates (Rooibos and Green tea) for comparison of litter mass loss at 336 sites (ranging from -9 to +26 °C MAT and from 60 to 3113 mm MAP) across different ecosystems. In this study we tested the effect of climate (temperature and moisture), litter type and land-use on early stage decomposition (3 months) across nine biomes. We show that litter quality was the predominant controlling factor in early stage litter decomposition, which explained about 65% of the variability in litter decomposition at a global scale. The effect of climate, on the other hand, was not litter specific and explained

Published
2018

34. The root microlandscape of arbuscular mycorrhizal fungi.

Author

Mony C, Vannier N, Burel F, Ernoult A, and Vandenkoornhuyse P

Abstract

Understanding the drivers of assemblages of arbuscular mycorrhizal fungi (AMF) is essential to leverage the benefits of AMF for plant growth and health. Arbuscular mycorrhizal fungi are heterogeneously distributed in space even at small scale. We review the role of plant distribution in driving AMF assemblages (the passenger hypothesis), using a transposition of the conceptual framework of landscape ecology. Because rooting systems correspond to habitat patches with limited carrying capacity that differ in quality due to host-preference effects, we suggest considering plant communities as mosaics of AMF microhabitats. We review how predictions from landscape ecology apply to plant community effects on AMF, and the existing evidence that tests these predictions. Although many studies have been conducted on the effect of plant compositional heterogeneity on AMF assemblages, they mostly focused on the effect of plant richness, while only a few investigated the effect of configurational heterogeneity, plant connectivity or plant community temporal dynamics. We propose key predictions and future prospects to fill these gaps. Considering plant communities as landscapes extends the passenger hypothesis by including a spatially explicit dimension and its associated ecological processes and may help understand and manipulate AMF assemblages at small spatial scales., (© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.)

Published
2024
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35. Ecological corridors homogenize plant root endospheric mycobiota.

Author

Hu J, Vandenkoornhuyse P, Khalfallah F, Causse-Védrines R, and Mony C

Subjects
Biodiversity, Plants, Plant Roots microbiology, Ecosystem, Microbiota
Abstract

Ecological corridors promote species coexistence in fragmented habitats where dispersal limits species fluxes. The corridor concept was developed and investigated with macroorganisms in mind, while microorganisms, the invisible majority of biodiversity, were disregarded. We analyzed the effect of corridors on the dynamics of endospheric fungal assemblages associated with plant roots at the scale of 1 m over 2 years (i.e. at five time points) by combining an experimental corridor-mesocosm with high-throughput amplicon sequencing. We showed that plant root endospheric mycobiota were sensitive to corridor effects when the corridors were set up at a small spatial scale. The endospheric mycobiota of connected plants had higher species richness, lower beta-diversity, and more deterministic assembly than the mycobiota of isolated plants. These effects became more pronounced with the development of host plants. Biotic corridors composed of host plants may thus play a key role in the spatial dynamics of microbial communities and may influence microbial diversity and related ecological functions., (© 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation.)

Published
2023
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36. Evaluating the hologenome concept by analyzing the root-endosphere microbiota of chimeric plants.

Author

Biget M, Wang T, Mony C, Xu Q, Lecoq L, Chable V, Theis KR, Ling N, and Vandenkoornhuyse P

Abstract

The hologenome concept considers the entity formed by a host and its microbiota, the holobiont, as new level of hierarchical organization subject to neutral and selective forces. We used grafted plants to formally evaluate the hologenome concept. We analyzed the root-endosphere microbiota of two independent watermelon and grapevine plant systems, including ungrafted and reciprocal-grafting combinations. Grafted and ungrafted hosts harbor markedly different microbiota compositions. Furthermore, the results indicate a non-random assembly of bacterial communities inhabiting the root endosphere of chimeric plants with interactive effect of both the rootstock and scion on the recruitment of microorganisms. Because chimeric plants did not have a random microbiota, the null hypothesis that holobionts assemble randomly and hologenome concept is an intellectual construction only can be rejected. The study supports the relevance of hologenome as biological level of organization and opens new avenues for a better fundamental understanding of plants as holobionts., Competing Interests: The authors declare no competing interests., (© 2023 The Authors.)

Published
2023
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37. Plant microbiota dysbiosis and the Anna Karenina Principle.

Author

Arnault G, Mony C, and Vandenkoornhuyse P

Subjects
Plants, Dysbiosis, Microbiota
Abstract

Microorganisms are associated with all plants, recently leading to the hologenome concept. We reviewed the assembly processes of plant microbiota and analyzed its structure during the emergence of dysbioses. In particular, we discussed the Anna Karenina Principle (AKP) based on Leo Tolstoy's assertion applied to plant microbiota: 'All healthy microbiota are alike; each disease-associated microbiota is sick in its own way.' We propose the AKP to explain how stochastic processes in plant microbiota assembly due to several external stressors could lead to plant diseases. Finally, we propose the AKP to conceptualize plant dysbioses as a transitory loss of host capacity to regulate its microbiota, implying a loss of function that leads to a reduction of the host's fitness., Competing Interests: Declaration of interests The authors have no interests to declare., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Published
2023
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38. Organic agriculture and field edges uphold endospheric wheat microbiota at field and landscape scale.

Author

Ricono C, Vandenkoornhuyse P, Aviron S, Jambon O, Michon-Coudouel S, Causse-Vedrines R, Mauger S, and Mony C

Subjects
Agriculture, Biodiversity, Ecosystem, Humans, Triticum, Microbiota, Organic Agriculture
Abstract

Agricultural intensification has been demonstrated to induce a loss of biodiversity. Despite the key role of symbiotic microorganisms in plant nutrition and protection, the impact of agricultural intensification on these microorganisms is not fully understood. Organic farming and field edges (as semi-natural elements) may promote a higher microbial diversity thanks to lower anthropic disturbance and higher plant diversity. We sampled wheat individuals in pairs of wheat fields (one organic and one conventional) along a distance gradient to the edges (hedgerow vs. grassy), in 20 landscape windows selected along an uncorrelated gradient of organic farming and hedgerow density. We demonstrated that organic farming shaped microbial composition and increased fungal and bacterial richness, while hedgerows had a neutral or negative effect on richness depending on the microbial phyla considered. In contrast to bacteria, fungal communities were heterogeneously distributed within fields, having a higher diversity for some phyla close to field edges. Overall we highlighted that fungi responded more to the field scale while bacteria were more affected by landscape scale. The effect of agricultural intensification on plant microbiota and therefore on the functions provided by microorganisms to the plants has to be considered at a multiple spatial scale-from field to landscape., (© The Author(s) 2022. Published by Oxford University Press on behalf of FEMS.)

Published
2022
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39. Differentiation of endospheric microbiota in ancient and modern wheat cultivar roots.

Author

Mauger S, Ricono C, Mony C, Chable V, Serpolay E, Biget M, and Vandenkoornhuyse P

Abstract

Modern plant breeding and agrosystems artificialization could have altered plants' ability to filter and recruit beneficial microorganisms in its microbiota. Thus, compared to modern cultivars, we hypothesized that root-endosphere microbiota in modern wheat cultivars are less resistant to colonization by fungi and bacteria and thus more susceptible to also recruit more pathogens. We used an in-field experimental design including six wheat varieties (three ancient vs. three modern) grown in monoculture and in mixture (three replicates each). Endospheric microbiota of wheat roots were analyzed on four individuals sampled randomly in each plot. Composition-based clustering of sequences was then characterized from amplicon mass-sequencing. We show that the bacterial and fungal microbiota composition in wheat roots differed between ancient and modern wheat cultivar categories. However, the responses observed varied with the group considered. Modern cultivars harbored higher richness of bacterial and fungal pathogens than ancient cultivars. Both cultivar types displayed specific indicator species. A synergistic effect was identified in mixtures of modern cultivars with a higher root endospheric mycobiota richness than expected from a null model. The present study shows the effect of plant breeding on the microbiota associated plant roots. The results call for making a diagnosis of the cultivar's endospheric-microbiota composition. These new results also suggest the importance of a holobiont-vision while considering plant selection in crops and call for better integration of symbiosis in the development of next-generation agricultural practices., Competing Interests: The authors declare no conflict of interest., (© 2021 The Authors. Plant-Environment Interactions published by New Phytologist Foundation and John Wiley & Sons Ltd.)

Published
2021
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40. How does interspecific competition modify the response of grass plants against herbicide treatment? A hierarchical concentration-response approach.

Author

Baillard V, Delignette-Muller ML, Sulmon C, Bittebiere AK, Mony C, Couée I, Gouesbet G, Devin S, and Billoir E

Subjects
Ecotoxicology, Plants, Poaceae, Species Specificity, Herbicides toxicity
Abstract

Ecological interactions are rarely taken into account in environmental risk assessment. The objective of this work was to assess how interspecific competition affects the way plant species react to herbicides and more specifically how it modifies the concentration-response curves that can be built using ecotoxicological bioassays. To do this, we relied on the results of ecotoxicological bioassays on six herbaceous species exposed to isoproturon under two conditions: in presence and in absence of a competitor. At the end of the experiments, eleven endpoints were measured. We modelled these data using a hierarchical modelling framework designed to assess the effects of competition on each of the four parameters of the concentration response curves (e.g. the level of response at the control or the concentration at the inflection point of the curve) simultaneously for the six species. The modelled effects could be of three types, 1) competition had no effect on the parameter, 2) competition had the same effect on the parameter for all species and 3) competition had a different effect on the parameter for each species. Our main hypothesis was that different species would react differently to competition. Results showed that about a half of the estimated parameters showed a modification under competition pressure among which only a fourth showed a species-specific effect, the three other fourth showing the same effect between the different species. Our initial hypothesis was thus not supported as species tended to react in the same way to competition. The competition effect on plants was mainly negative, thus showing that they were more affected by isoproturon under competition pressure. This study therefore establishes how competition modifies plant responses to chemical stress and how this interaction varies from one species to the other., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
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41. Past landscape structure drives the functional assemblages of plants and birds.

Author

Lecoq L, Ernoult A, and Mony C

Subjects
Animals, Female, Male, Population Dynamics, Biodiversity, Birds physiology, Forests, Models, Biological, Plants, Reproduction physiology
Abstract

Landscape structure is a major driver of biodiversity in agricultural landscapes. However, the response of biodiversity can be delayed after landscape changes. This study aimed to determine the effect of current and past landscape structure on plant and bird assemblages. We used a trait-based approach to understand their responses to landscape simplification and habitat fragmentation. We quantified landscape structure at three different years (1963, 1985, 2000) and sampled current plant and bird assemblages in twenty 1 km 2 landscape windows located along the Seine Valley (France). For each window, we calculated plant and bird species richness, Community Weighted Variance (CWV), and Community Weighted Mean (CWM) of five functional traits related to dispersal capacity, reproduction, and life-cycle. We detected non-random patterns of traits for both taxa. Plant and bird species richness was lower in simple landscapes. The functional variance of plant traits was higher in landscapes simple in configuration. Both plant and bird assemblages strongly responded to past landscapes, especially their traits related to reproduction and life-cycle. It suggests that landscapes of the Seine valley will face a functional extinction debt. Further research is needed to better predict the delayed response of biodiversity expected to occur after landscape structure changes.

Published
2021
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42. A Landscape of Opportunities for Microbial Ecology Research.

Author

Mony C, Vandenkoornhuyse P, Bohannan BJM, Peay K, and Leibold MA

Abstract

Microbes encompass tremendous biodiversity, provide support to all living forms, including humans, and play an important role in many ecosystem services. The rules that govern microorganism community assembly are increasingly revealed due to key advances in molecular and analytical methods but their understanding remain a key challenge in microbial ecology. The existence of biogeographic patterns within microbial communities has been established and explained in relation to landscape-scale processes, including selection, drift, dispersal and mutation. The effect of habitat patchiness on microorganisms' assembly rules remains though incompletely understood. Here, we review how landscape ecology principles can be adapted to explore new perspectives on the mechanisms that determine microbial community structure. To provide a general overview, we characterize microbial landscapes, the spatial and temporal scales of the mechanisms that drive microbial assembly and the feedback between microorganisms and landscape structure. We provide evidence for the effects of landscape heterogeneity, landscape fragmentation and landscape dynamics on microbial community structure, and show that predictions made for macro-organisms at least partly also apply to microorganisms. We explain why emerging metacommunity approaches in microbial ecology should include explicit characterization of landscape structure in their development and interpretation. We also explain how biotic interactions, such as competition, prey-predator or mutualist relations may influence the microbial landscape and may be involved in the above-mentioned feedback process. However, we argue that the application of landscape ecology to the microbial world cannot simply involve transposing existing theoretical frameworks. This is due to the particularity of these organisms, in terms of size, generation time, and for some of them, tight interaction with hosts. These characteristics imply dealing with unusual and dependent space and time scales of effect. Evolutionary processes have also a strong importance in microorganisms' response to their landscapes. Lastly, microorganisms' activity and distribution induce feedback effects on the landscape that have to be taken into account. The transposition of the landscape ecology framework to microorganisms provides many challenging research directions for microbial ecology., (Copyright © 2020 Mony, Vandenkoornhuyse, Bohannan, Peay and Leibold.)

Published
2020
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43. Local-scale dynamics of plant-pesticide interactions in a northern Brittany agricultural landscape.

Author

Serra AA, Bittebière AK, Mony C, Slimani K, Pallois F, Renault D, Couée I, Gouesbet G, and Sulmon C

Subjects
Agriculture, France, Soil, Ecosystem, Pesticides
Abstract

Soil pollution by anthropogenic chemicals is a major concern for sustainability of crop production and of ecosystem functions mediated by natural plant biodiversity. Understanding the complex effects of soil pollution requires multi-level and multi-scale approaches. Non-target and agri-environmental plant communities of field margins and vegetative filter strips are confronted with agricultural xenobiotics through soil contamination, drift, run-off and leaching events that result from chemical applications. Plant-pesticide dynamics in vegetative filter strips was studied at field scale in the agricultural landscape of a long-term ecological research network in northern Brittany (France). Vegetative filter strips effected significant pesticide abatement between the field and riparian compartments. However, comparison of pesticide usage modalities and soil chemical analysis revealed the extent and complexity of pesticide persistence in fields and vegetative filter strips, and suggested the contribution of multiple sources (yearly carry-over, interannual persistence, landscape-scale contamination). In order to determine the impact of such persistence, plant dynamics was followed in experimentally-designed vegetative filter strips of identical initial composition (Agrostis stolonifera, Anthemis tinctoria/Cota tinctoria, Centaurea cyanus, Fagopyrum esculentum, Festuca rubra, Lolium perenne, Lotus corniculatus, Phleum pratense, Trifolium pratense). After homogeneous vegetation establishment, experimental vegetative filter strips underwent rapid changes within the following two years, with Agrostis stolonifera, Festuca rubra, Lolium perenne and Phleum pratense becoming dominant and with the establishment of spontaneous vegetation. Co-inertia analysis showed that plant dynamics and soil residual pesticides could be significantly correlated, with the triazole fungicide epoxiconazole, the imidazole fungicide prochloraz and the neonicotinoid insecticide thiamethoxam as strong drivers of the correlation. However, the correlation was vegetative-filter-strip-specific, thus showing that correlation between plant dynamics and soil pesticides likely involved additional factors, such as threshold levels of residual pesticides. This situation of complex interactions between plants and soil contamination is further discussed in terms of agronomical, environmental and health issues., Competing Interests: Declaration of competing interest The authors do not have any commercial or financial conflict of interest regarding the present article., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Published
2020
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44. Effect of interspecific competition on species sensitivity distribution models: Analysis of plant responses to chemical stress.

Author

Baillard V, Sulmon C, Bittebiere AK, Mony C, Couée I, Gouesbet G, Delignette-Muller ML, Devin S, and Billoir E

Subjects
Biological Assay, Ecosystem, Phenylurea Compounds toxicity, Risk Assessment, Plant Physiological Phenomena, Plants drug effects, Stress, Physiological
Abstract

Species Sensitivity Distributions (SSD) are widely used in environmental risk assessment to predict the concentration of a contaminant that is hazardous for 5% of species (HC 5 ). They are based on monospecific bioassays conducted in the laboratory and thus do not directly take into account ecological interactions. This point, among others, is accounted for in environmental risk assessment through an assessment factor (AF) that is applied to compensate for the lack of environmental representativity. In this study, we aimed to assess the effects of interspecific competition on the responses towards isoproturon of plant species representative of a vegetated filter strip community, and to assess its impact on the derived SSD and HC 5 values. To do so, we realized bioassays confronting six herbaceous species to a gradient of isoproturon exposure in presence and absence of a competitor. Several modelling approaches were applied to see how they affected the results, using different critical effect concentrations and investigating different ways to handle multiple endpoints in SSD. At the species level, there was a strong trend toward organisms being more sensitive to isoproturon in presence of a competitor than in its absence. At the community level, this trend was also observed in the SSDs and HC 5 values were always lower in presence of a competitor (1.12-11.13 times lower, depending on the modelling approach). Our discussion questions the relevance of SSD and AF as currently applied in environmental risk assessment., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Published
2020
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45. Artificial Intelligence Accidentally Learned Ecology through Video Games.

Author

Barbe L, Mony C, and Abbott BW

Subjects
Artificial Intelligence, Ecosystem, Humans, Learning, Video Games
Abstract

An advanced artificial intelligence (AI) system defeated the best human players in StarCraft II, a popular real-time strategy game. In a virtual ecosystem, players compete for habitats and resources, unintentionally reproducing many ecological phenomena. We propose to repurpose this AI to test ecological hypotheses that have been intractable using traditional approaches., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Published
2020
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46. The influence of host-plant connectivity on fungal assemblages in the root microbiota of Brachypodium pinnatum.

Author

Mony C, Vannier N, Brunellière P, Biget M, Coudouel S, and Vandenkoornhuyse P

Subjects
Biodiversity, DNA, Fungal, Fungi genetics, Plant Roots, Soil Microbiology, Ascomycota, Basidiomycota genetics, Brachypodium, Microbiota
Abstract

Dispersal limitation may drive the structure of fungal microbiota of plant roots at small spatial scales. Fungal root microorganisms disperse through the plant rooting systems from hosts to hosts. Due to a pronounced host-preference effect, the composition of endophytic root microbiota may follow plant distribution. A given plant community may hence include a matrix of host-plant species that represent various habitat permeabilities to fungal dispersal in the floristic landscape. We experimentally tested the effect of host-plant isolation on endophytic fungal assemblages (Ascomycota, Basidiomycota, Glomeromycotina) inhabiting Brachypodium pinnatum roots. We calculated host-plant isolation using Euclidean distance (distance-based dispersal limitation) and resistance distance (functional-based dispersal limitation), based on host presences. All fungal groups were more influenced by the resistance distance between B. pinnatum than by the Euclidean distance. Fungal dispersal was hence strongly related to the spatial distribution of the host plants. The fungal groups displayed however different responses (in richness, abundance, and composition) to host isolation. Additionally, fungal assemblages were more strongly controlled by the degree of connectivity between host plants during the prior year than by current connectivity. This discrepancy may be due to changes in plant species coverage in a year and/or to the delay of dispersal response of fungi. This study it the first to demonstrate how small-scale host-plant distributions mediate connectivity in microorganisms. The consequences of plant distributions for the permeability of the floristic landscape to fungi dispersal appear to control fungal assemblages, but with possibly different mechanisms for the different fungal groups., (© 2020 by the Ecological Society of America.)

Published
2020
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47. Effect of floristic composition and configuration on plant root mycobiota: a landscape transposition at a small scale.

Author

Mony C, Brunellière P, Vannier N, Bittebiere AK, and Vandenkoornhuyse P

Subjects
Ascomycota classification, Basidiomycota classification, Brachypodium microbiology, Glomeromycota classification, Plant Roots microbiology
Abstract

Fungal communities in the root endosphere are heterogeneous at fine scale. The passenger hypothesis assumes that this heterogeneity is driven by host plant distribution. Plant composition and host plant configuration should then influence root fungal assemblages. We used a large-scale experimental design of 25 mixtures of grassland plants. We sampled Brachypodium pinnatum in each mesocosm, and used amplicon mass-sequencing to analyze the endospheric mycobiota. We used plant distribution maps to assess plant species richness and evenness (heterogeneity of composition), and patch size and the degree of isolation of B. pinnatum (heterogeneity of configuration) on fungal community assembly. The Glomeromycotina community in B. pinnatum roots was not related to either floristic heterogeneity or productivity. For Ascomycota, the composition of operational taxonomic units (OTUs) was driven by plant evenness while OTU richness decreased with plant richness. For Basidiomycota, richness increased with host plant aggregation and connectivity. Plant productivity influenced Ascomycota, inducing a shift in OTU composition and decreasing evenness. Plant heterogeneity modified root mycobiota, with potential direct (i.e. host preference) and indirect (i.e. adaptations to abiotic conditions driven by plant occurrence over time) effects. Plant communities can be envisioned as microlandscapes consisting of a variety of fungal niches., (© 2019 The Authors. New Phytologist © 2019 New Phytologist Trust.)

Published
2020
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48. Polymer - Metal Nanocomplexes Based Delivery System: A Boon for Agriculture Revolution.

Author

Kaur P, Choudhary R, Pal A, Mony C, and Adholeya A

Subjects
Anti-Infective Agents chemistry, Crops, Agricultural drug effects, Drug Liberation, Genetic Therapy methods, Humans, Pesticides chemistry, Plant Diseases therapy, Plant Growth Regulators chemistry, Biocompatible Materials chemistry, Delayed-Action Preparations chemistry, Drug Carriers chemistry, Metal Nanoparticles chemistry, Nanocomposites chemistry, Polymers chemistry
Abstract

Metal nanoparticles are well known for their antimicrobial properties. The use of metalbased nanoparticles in the agricultural field has considerably increased globally by both direct and indirect means for the management of plant diseases. In this context, the development of controlled delivery systems for slow and sustained release of metal nanoparticles is crucial for prolonged antimicrobial activity. Polymers have emerged as a valuable carrier for controlled delivery of metal nanoparticles as agrochemicals because of their distinctive properties. The most significant benefits of encapsulating metal nanoparticles in a polymer matrix include the ability to function as a protector of metal nanoparticles and their controlled release with prolonged efficacy. This review focuses on loading strategies and releasing behavior of metal nanoparticles in the polymer matrix as antimicrobial agents for plant diseases. The Polymer-metal nanocomplexes (PMNs) comprise a biocompatible polymeric matrix and metal nanoparticles as active components of an antimicrobial agent, pesticides and plant growth regulators used to enhance the crop productivity., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Published
2020
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49. Additive effects of connectivity provided by different habitat types drive plant assembly.

Author

Uroy L, Mony C, and Ernoult A

Subjects
Biodiversity, Ecosystem, Crops, Agricultural, Forests, Grassland, Plant Dispersal, Plants
Abstract

How connectivity affects plant assemblages is a central issue in landscape ecology. So far, empirical studies have produced contradictory results, possibly because studies: (1) inaccurately assess connectivity by prioritizing the respective effect of the type of habitat on plant assemblages and (2) omit the range of possible plant responses to connectivity depending on dispersal vectors. We focused on three dominant habitat types in agricultural landscapes (woodland, grassland and cropland), and analysed the effect of connectivity on herbaceous plant assemblage similarity for three primary dispersal modes (animal-dispersed, wind-dispersed and unassisted). Using circuit theory, we measured connectivity provided by woodland, grassland and cropland habitats independently. The similarity of plant assemblages was evaluated relative to the random expectation based on the regional pool. Overall, plant assemblage similarity in woodlands and temporary grasslands was dependent on connectivity, but not in wheat croplands. Only animal-dispersed species responded to connectivity. The similarity of animal-dispersed assemblages in woodlands was increased by the connectivity provided by woodland habitats, but was reduced by cropland habitats, whereas in temporary grasslands, similarity was increased by the connectivity provided by cropland habitats. Our results suggest that animal-dispersed species supplement their dispersal pathways, thus improving our knowledge of plant assembly rules in fragmented landscapes.

Published
2019
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50. Clonal Plants as Meta-Holobionts.

Author

Vannier N, Mony C, Bittebiere AK, Theis KR, Rosenberg E, and Vandenkoornhuyse P

Abstract

The holobiont concept defines a given organism and its associated symbionts as a potential level of selection over evolutionary time. In clonal plants, recent experiments demonstrated vertical transmission of part of the microbiota from one ramet (i.e., potentially autonomous individual) to another within the clonal network (i.e., connections by modified stems present in ∼35% of all plants). Because of this heritability, and potentially reciprocal exchange of microbes between generations of ramets, we propose to extend the existing holobiont framework to the concept of meta-holobiont. A meta-holobiont is a network of holobionts that can exchange biomolecules and microbiota across generations, thus impacting the fitness of both biological scales: holobionts and meta-holobionts. Specifically, meta-holobiont dynamics can result in sharing, specialization, and division of labor across plant clonal generations. This paper, which coins the meta-holobiont concept, is expected to stimulate discussion and to be applied beyond the context of networked clonal plants (e.g., to social insects).

Published
2019
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