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1. Microhabitat Structure Affects Ground-Dwelling Beetle Communities More than Temperature along an Urbanization Gradient

Author

Valentin Cabon, Yann Laurent, Romain Georges, Hervé Quénol, Vincent Dubreuil, and Benjamin Bergerot

Subjects
activity density, Staphylinidae, Carabidae, functional diversity, taxonomic diversity, urban heat island, Biology (General), QH301-705.5
Abstract

Urbanization profoundly alters environmental conditions for organisms, particularly through the urban heat island (UHI) effect, which elevates temperatures in city centers. This study examines the influence of urban environmental variables on rove and ground beetle communities. We sampled 36 grasslands in Rennes (northwestern France), yielding 3317 and 505 staphylinid and carabid adult individuals, respectively, belonging to 121 and 60 species, respectively. Staphylinid and carabid communities are not primarily affected by temperature-related variables. Staphylinids, often overlooked in urban ecology, showed species composition variation to be influenced by habitat and temperature, whereas their functional diversity was positively correlated with herbaceous vegetation height only. In contrast, carabid communities exhibited no significant relationship with the tested environmental variables. This study underscores the taxon-dependent nature of ectotherm’s responses to thermal environments. Although a further investigation into species-specific traits, and particularly dispersal capacities in staphylinids, is needed to advance our understanding of urbanization’s impact, our results indicate that functional diversity in staphylinid assemblages can be favored by locally reducing the mowing frequency or increasing the cutting height within urban green spaces.

Published
2024
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2. The Role of Hydrographic Mapping in the Study of Emerging Aquatic Insects on the Landscape Scale

Author

Rémi Gerber, Benjamin Bergerot, Romain Georges, Jean-Marc Roussel, and Christophe Piscart

Subjects
ecosystem connectivity, ditches, ponds, tributaries, merolimnic insect, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract

Emerging aquatic insects constitute one of the main biological flows connecting aquatic and terrestrial ecosystems. In a landscape, there are many sources of emergence, which vary in space and time. Thus, they must be clearly defined when studying the inland dispersal of aquatic insects. In this study, we defined five types of hydrographic networks (including or not including ponds and ditches) on the basis of cartographic data of varying degrees of detail (from OpenStreetMap to field map) in order to explain the abundance of aquatic insects. We sampled Ephemeroptera, Plecoptera, Trichoptera, and Megaloptera (ETPM) with 64 sticky traps homogeneously covering a 75 ha agricultural landscape. The abundance of aquatic insects is logically better explained by the hydrographic networks recorded directly in the field than by the reference network, which is incomplete (OpenStreetMap). The results show that, depending on the sampling period, not all water bodies in the landscape are necessarily sources of emergence. To our knowledge, the issue of defining the sources of emerging aquatic insects has never been raised. Based on a practical example, this short note shows that, by refining the hydrographic network to better match the sources of emergence, the explanatory power of inland aquatic insect abundance can be greatly improved.

Published
2022
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3. 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, and Zsolt Tóth

Subjects
tea bag, Green tea, Rooibos tea, litter decomposition, carbon turnover, nitrogen deposition, Forestry, SD1-669.5, Environmental sciences, GE1-350
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 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.

Published
2021
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4. Could behaviour and not physiological thermal tolerance determine winter survival of aphids in cereal fields?

Author

Lucy Alford, Thiago Oliveira Andrade, Romain Georges, Françoise Burel, and Joan van Baaren

Subjects
Medicine, Science
Abstract

Traits of physiological thermotolerance are commonly measured in the laboratory as predictors of the field success of ectotherms at unfavourable temperatures (e.g. during harsh winters, heatwaves, or under conditions of predicted global warming). Due to being more complicated to measure, behavioural thermoregulation is less commonly studied, although both physiology and behaviour interact to explain the survival of ectotherms. The aphids Metopolophium dirhodum, Rhopalosiphum padi and Sitobion avenae are commercially important pests of temperate cereal crops. Although coexisting, these species markedly differ in winter success, with R. padi being the most abundant species during cold winters, followed by S. avenae and lastly M. dirhodum. To better understand the thermal physiology and behavioural factors contributing to differential winter success, the lethal temperature (physiological thermotolerance) and the behaviour of aphids in a declining temperature regime (behavioural thermotolerance) of these three species were investigated. Physiological thermotolerance significantly differed between the three species, with R. padi consistently the least cold tolerant and S. avenae the most cold tolerant. However, although the least cold tolerant of the study species, significantly more R. padi remained attached to the host plant at extreme sub-zero temperatures than S. avenae and M. dirhodum. Given the success of anholocyclic R. padi in harsh winters compared to its anholocyclic counterparts, this study illustrates that behavioural differences could be more important than physiological thermotolerance in explaining resistance to extreme temperatures. Furthermore it highlights that there is a danger to studying physiological thermotolerance in isolation when ascertaining risks of ectotherm invasions, the establishment potential of exotic species in glasshouses, or predicting species impacts under climate change scenarios.

Published
2014
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5. Material selection methodology for an induction welding magnetic susceptor based on hysteresis losses

Author

Martin, Romain Georges, Johansson, Christer, Tavares, Jason Robert, Dubé, Martine, Martin, Romain Georges, Johansson, Christer, Tavares, Jason Robert, and Dubé, Martine

Abstract

Induction welding is a fusion bonding process relying on the application of an alternating magnetic field to generate heat at the joining interface. Herein, magnetic hysteresis losses heating elements, called susceptors, which are made of magnetic particles dispersed in a thermoplastic polymer, are investigated. A methodology to identify the parameters influencing the heating rate of the susceptors and to select suitable magnetic particles for their fabrication is proposed. The applied magnetic field amplitude is modeled based on the induction coil geometry and the alternating electrical current introduced to it. Then, properties of the evaluated susceptor particles are obtained through measurements of their magnetic hysteresis. A case study is presented to validate the suitability of the proposed methodology. Particles of iron (Fe), nickel (Ni), and magnetite (Fe₃O₄) are evaluated as susceptor materials in polypropylene (PP) and polyetheretherketone (PEEK) matrices. Heating rates are predicted using the proposed method, and samples are produced and heated by induction to experimentally verify the results. Good agreement with the predictions is obtained. Ni is the most suitable susceptor material for a PP matrix, while Fe₃O₄ is preferable for PEEK.

Published
2022

6. Macroecological patterns of fruit infestation rates by the invasive fly Drosophila suzukii in the wild reservoir host plant Sambucus nigra

Author

Romain Ulmer, Aude Couty, Patrice Eslin, Manuella Catterou, Lucas Baliteau, Anne Bonis, Nicolas Borowiec, Hervé Colinet, Lionel Delbac, Françoise Dubois, Arnaud Estoup, Joris Froissard, Emilie Gallet‐Moron, Benjamin Gard, Romain Georges, Patricia Gibert, Isabelle Le Goff, Servane Lemauviel‐Lavenant, Gregory Loucougaray, Alice Michelot‐Antalik, Jean‐Francois Odoux, Sylvain Pincebourde, Nicolas O. Rode, Marcel Thaon, Irène Till‐Bottraud, Olivier Chabrerie, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Centre Permanent d'Initiatives pour l'Environnement (CPIE) des Pays de l’Oise (CPIE), Laboratoire de Géographie Physique et Environnementale (GEOLAB), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut Sophia Agrobiotech (ISA), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Côte d'Azur (UCA), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Santé et agroécologie du vignoble (UMR SAVE), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-Institut des Sciences de la Vigne et du Vin (ISVV)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre Technique Interprofessionnel des Fruits et Légumes (CTIFL), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Ecophysiologie Végétale, Agronomie et Nutritions NCS (EVA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Agronomie et Environnement (LAE), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de recherche sur la biologie de l'insecte UMR7261 (IRBI), Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Ministere de l'Agriculture et de l'Alimentation, INRAE-SPE, and ANR-20-CE02-0011,DroThermal,Qu'est-ce qui fait de Drosophila suzukii un envahisseur si efficace? Une analyse intégrative de son écologie thermique.(2020)

Subjects
insect invasion, spotted-wing drosophila, non-crop host plant, plant traits, Insect Science, landscape composition, polyphagous insect, food and beverages, temperature, Forestry, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, climatic cline, Agronomy and Crop Science
Abstract

International audience; The invasive pest Drosophila suzukii is a fruit fly native to Asia that infests a wide variety of fruits. Wild plant species are major reservoirs for D. suzukii populations but their infestation rates vary greatly among geographical areas. We aimed at disentangling the relative roles of macroclimatic, landscape and local factors in the rate of D. suzukii infestation of elderberry fruits (Sambucus nigra), a major wild host plant in Europe. We collected elderberry fruits across 215 sites distributed in 13 regions from North to South of France. We counted the number of emerging D. suzukii adults and tested for the effect of macroclimatic, landscape, local biotic and abiotic variables, as well as plant traits using linear mixed models. Site latitude and mean daily maximum temperature since the beginning of the year had respectively the strongest positive and negative effects on mean infestation rates across regions. Infestation rates also increased with forest cover in a 100 m radius around sampling sites. This study shows the importance of taking into account multiple scales and factors, from the fruit characteristics (i.e. maturity) to landscape composition and macroclimatic variables, when studying the interaction between D. suzukii and its host plants.

Published
2022

7. Threshold and weighted-distance methods: a combined multiscale approach improves explanatory power of forest carabid beetle abundance in agricultural landscape

Author

Benjamin Bergerot, Julie Betbeder, Solène Croci, Olivier Jambon, Jacques Baudry, Françoise Burel, Hugues Boussard, Romain Georges, Pierre-Gilles Lemasle, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Biodiversité agroécologie et aménagement du paysage (UMR BAGAP), Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes ), Université de Brest (UBO)-Université de Rennes 2 (UR2)-Nantes Université (Nantes Univ)-Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN), Nantes Université - pôle Humanités, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Humanités, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN), Nantes Université (Nantes Univ), Woodnet project, through the 2015-2016 BiodivERsA COFUND, ANR (Agence National de la Recherche, France) French National Research Agency (ANR), MINECO (Ministerio de Asuntos Economicos y Transformacion Digital, Spain), BELSPO (Politique scientifique federale, Belgium), 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), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Littoral, Environnement, Télédétection, Géomatique (LETG - Nantes), Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, Weighted distance, Abax parallelepipedus, Geography, Planning and Development, Species distribution, abondance, Distribution des populations, 010603 evolutionary biology, 01 natural sciences, Abundance (ecology), Statistics, Relative species abundance, Nature and Landscape Conservation, Mathematics, Ecology, biology, [SDE.IE]Environmental Sciences/Environmental Engineering, 010604 marine biology & hydrobiology, 15. Life on land, Explained variation, biology.organism_classification, Écologie des populations, Metric (mathematics), Spatial ecology, Landscape metric, L20 - Écologie animale, Carabidae, Landscape ecology, U30 - Méthodes de recherche, Paysage agricole, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Multiscale approach
Abstract

International audience; Context To analyze the scales at which landscape structure influences ecological processes, two approaches with different underlying ecological assumptions exist; the usual threshold method and the weighted-distance method.Objectives We used abundance of species to test if the combination of weighted-distance and threshold approaches improves the explained variance of landscape metrics. Methods We developed a workflow using the two approaches to calculate metrics computed at multiple scales. The latter was developed using weighted metrics based on different weighted-distance functions, and one metric could be selected for more than one spatial scale. Then, we tested the explained variance of species distribution (the activity-density of Abax parallelepipedus) by these two approaches applied independently and then together in modeling a specific ecological response.Results The combination of metrics computed at multiple scales calculated by both weighted-distance and threshold method improved the predictive performance of the models. More precisely, adding metrics derived from the weighted-distance method to the threshold method significantly increased the explained variance when using the same environmental variables. The mean R-2 values of the selected model for the threshold method was 0.34 +/- 0.10, 0.49 +/- 0.11 with the weighted-distance method, and reached 0.71 +/- 0.07 with the two methods combined. These results demonstrate the importance of combining metrics using the weighted-distance method and the threshold method. In addition, activity-density was better explained by metrics selected at multiple scales.Conclusions This study highlights the importance of combining threshold and weighted-distance method at several scales to improve the explanation of ecological responses based on species abundance.

Published
2022

8. Effects of connectivity on seed dispersal patterns in hedgerows

Author

Cendrine Mony, Quentin Landais, Romain Georges, Alain Butet, Françoise Burel, Olivier Jambon, Valérie Gouesbet, Aude Ernoult, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), French Ministry of Agriculture (DIVA 3 --Agriconnect project: Continuites ecologiques dans les paysages agricoles), and CNRS (LTSER ZA Armorique)

Subjects
seed predation, Ecology, plant community, landscape connectivity, Plant Science, forest fragments, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ecological corridors, hedgerow network, least-cost path analysis, seed dispersal
Abstract

International audience; Question Habitat isolation is a major driver of biodiversity because it affects dispersal among local communities, especially for plants. Corridors are supposed to facilitate the movement of organisms and hence their effective dispersal, thereby increasing biodiversity. Hedgerows provide favorable habitats for forest plant establishment, but their role in dispersal among forest patches is still unknown. In addition, seeds can be more predated within hedgerows because animal movement is also encouraged by these corridors. We aimed to answer the question: Are plant dispersal and seed removal by animals in connected hedgerows compared with unconnected hedgerows promoted for forest plant species? Location Long-term ecological site "Zone Atelier Armorique", western France (ca. 150 km(2)). Methods We analyzed seed dispersal along two pathways in 16 woodlots: connected (least-cost pathways, i.e., optimal corridors); and unconnected high cost pathways (absence of corridor). Using a trap study, we first quantified seed rain and analyzed seed composition after trapped seeds were germinated in the greenhouse. At the same sampling points, we then analyzed the rate at which two different sized seeds were removed from seed baits by animals. Results Our results revealed no difference in the number of trapped seeds in connected and unconnected pathways, but did reveal a difference in the number and richness of viable seeds, with corridors having a positive impact. In the predation experiment, the rate of removal of small seeds was higher in connected pathways than in unconnected pathways. Conclusion Connectivity enhanced the dispersal of viable forest plant species but also the predation of small seeds, which possibly played a role in their subsequent dispersal. This work highlighted the effect of connectivity on seed dynamics within hedgerows and improves our understanding of the role of hedgerows as stepping-stones for seed dispersal among forest patches.

Published
2022

9. HEATING RATE PREDICTION FOR INDUCTION WELDING MAGNETIC SUSCEPTORS

Author

Christer Johansson, Romain Georges Martin, Martine Dubé, and Jason Robert Tavares

Subjects
Hysteresis, Materials science, law, Magnetometer, Magnet, Eddy current, Magnetic nanoparticles, Induction welding, Welding, Composite material, Saturation (magnetic), law.invention
Abstract

Induction welding involves generating heat by applying an oscillating magnetic field, which produces eddy currents and Joule losses in an electrically-conductive material or hysteresis losses in a magnetic material. Most applications rely on eddy currents generation as composites are often made of electrically-conductive carbon fibres. However, in other applications, heat can be produced by a magnetic susceptor located at the weld interface of the parts to be joined. Composite films of magnetic particles dispersed in a thermoplastic matrix can serve as magnetic susceptors. Magnetic particles selection relies on various parameters that must be thoroughly defined beforehand. Firstly, the applied magnetic field amplitude and frequency is calculated, based on the generated current and the induction coil geometry. Secondly, the thermoplastic matrix is characterized, mainly with DSC measurements, to define its processing window. Finally, the magnetic properties of the particles are measured – for instance using a vibrating sample magnetometer (VSM) – to obtain the hysteresis curve for the applied field. The enclosed surface area of the hysteresis curve (i.e. absorbed energy density) is critical, as low hysteresis materials (i.e. soft magnets) will not dissipate enough heat, while high hysteresis materials (i.e. hard magnets) cannot be fully exploited as the saturation hysteresis is not reached within the used field amplitude. A methodology to approximate the hysteresis enclosed surface area with limited data is proposed, helping to anticipate the heating rate of a susceptor candidate material. Based on these parameters, the theoretical heating rates of three magnetic susceptor materials (magnetic particles of iron, nickel and magnetite) for induction welding are calculated. They are verified experimentally by comparing with the hysteresis analysis and by measuring the temperature evolution of samples made of polypropylene containing the magnetic particles.

Published
2021

11. Macroecological Patterns of Fruit Infestation Rates by the Invasive Fly Drosophila suzukii in the Reservoir Host Plant Sambucus nigra †

Author

Arnaud Estoup, Isabelle Le Goff, Irène Till-Bottraud, Olivier Chabrerie, Nicolas O. Rode, Emilie Gallet-Moron, Nicolas Borowiec, Sylvain Pincebourde, Patrice Eslin, Romain Georges, Servanne Lemauviel-Lavenant, Marcel Thaon, Aude Couty, Anne Bonis, Joris Froissard, Lionel Delbac, Alice Michelot-Antalik, Jean-François Odoux, Hervé Colinet, Romain Ulmer, Grégory Loucougaray, Lucas Baliteau, Patricia Gibert, and Benjamin Gard

Subjects
2. Zero hunger, Abiotic component, education.field_of_study, Ecology, Population, food and beverages, Context (language use), Introduced species, 15. Life on land, Biology, Sambucus nigra, biology.organism_classification, medicine.disease_cause, Infestation, medicine, PEST analysis, education, Drosophila suzukii
Abstract

The invasive pest Drosophila suzukii (Matsumura, 1931) is a fruit fly native to Asia that infests a wide variety of cultivated and wild fruits, causing important damages on agricultural production. Wild plant species are major reservoirs for D. suzukii populations but their infestation rates varies greatly among geographical areas. This heterogeneity could partly be caused by a heterogeneity of environmental conditions acting across different spatial scales. This study aimed to disentangle the relative roles of macroclimatic, landscape and local factors that could affect the success of D. suzukii infestation of elderberry fruits (Sambucus nigra), a major and widespread host plant along climatic gradients. We collected elderberry fruits and measured vegetative and reproductive life traits of the plants in 215 sites distributed in 13 regions from North to South France during summer 2020. We counted the number of D. suzukii emerging from sampled fruits and tested for an effect of macroclimatic, landscape and local abiotic and biotic variables, as well as plant traits using linear mixed models with region as random factor. Latitude and mean maximum temperature had respectively the strongest positive and negative effects on mean infestation rates across regions (R = 0.761, p = 0.003 and R = −0.758, p = 0.004). Mixed models also showed that fruit infestation rate increased with the number of mature fruits within corymb and with forest cover in a 100 m radius around sampling sites and decreased with mean maximum temperature. The latitudinal and climatic clines in infestation rates suggests that D. suzukii population size might vary greatly among geographic regions. Our results also suggest that population sizes are larger in the presence of semi-natural habitats such as forest patches in the surrounding landscape. Our work contributes to enhancing our understanding of D. suzukii ecology, which is important to predict how infestation rates might change in the context of global climatic changes.

Published
2021

12. Least cost path analysis for urban greenways planning: a test with moths and birds across two habitats and two cities

Author

Aude Ernoult, Luc Madec, Eric J. Petit, Romain Georges, Alain Butet, Solene Croci, Jean-Pierre Caudal, Manon Balbi, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Écologie et santé des écosystèmes (ESE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Région Hauts‐de‐France, Région Bretagne, 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), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Littoral, Environnement, Télédétection, Géomatique (LETG - Nantes), Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut de Géographie et d'Aménagement (IGARUN), and Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-AGROCAMPUS OUEST

Subjects
0106 biological sciences, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Ecology, biology, Resistance (ecology), business.industry, Movement (music), Seven Management and Planning Tools, 010604 marine biology & hydrobiology, [SDV]Life Sciences [q-bio], Environmental resource management, Fragmentation (computing), 15. Life on land, 010603 evolutionary biology, 01 natural sciences, Passerine, Test (assessment), Geography, Habitat, biology.animal, 11. Sustainability, Green infrastructure, business
Abstract

International audience; 1.One of the major planning tools to respond to urban landscape fragmentation is the development of ecological corridors, that is, interconnected networks of urban green and blue spaces. Least‐cost paths (LCP) appear to be an easy and appropriate resistance‐based modelling method to respond to urban planners’ needs. However, the ecological validation of urban corridors using LCP is rarely performed and needs to be generalized to different species, habitats and cities.2.We developed an experimental design to test the efficiency of LCP predictions to detect highly connecting landscape contexts that facilitate individual movements compared to movements in less connecting landscape contexts. We deliberately assigned LCP analysis parameters based on the scientific literature and expert knowledge to test a method potentially easy to use for urban stakeholders. To extend the validation, we applied our LCP model to two biological taxa with different habitat requirements: grassland‐dwelling moths and forest‐dwelling passerines, and to two medium‐sized cities.3.We used mark–release–recapture (MRR) methods for moths and playback recall protocols for passerines to compare the patterns of individual movement between two contrasted connectivity contexts determined by the presence and absence of modelled LCPs. MRR protocol estimated movement rates between herbaceous patches and the two contrasted connectivity contexts. Playback recall protocol consisted in attracting individuals from wooded patches to the two contrasted connectivity contexts. A movement was considered facilitated, when displacement was rapidly engaged and individuals moved a long distance from their wooded patch.4.Moth and passerine movement patterns differed between the two connectivity contexts: moth recapture rates were higher in highly connecting contexts than in less connecting contexts. For passerine birds, responses to playback recalls were faster and movement distance longer in highly connecting contexts. All results support the hypothesis that both taxa were more prone to move in corridors modelled by LCP.5.Synthesis and applications. The convergence of the results for different biological models and across cities strengthens the relevance of LCP analysis for planning urban greenways and provides guidelines for landscape planners in the development of these corridors to favour the movement and survival of multiple urban species.

Published
2021

13. Configurational crop heterogeneity increases within‐field plant diversity

Author

Gavin M. Siriwardena, Isabelle Badenhausser, Nathalie Patry, Péter Batáry, Irene Robleño, Yann Clough, Romain Georges, Teja Tscharntke, Jean-Louis Martin, Kathryn Lindsay, Jacques Baudry, Nicole Yaverscovski, Vincent Bretagnolle, Lluís Brotons, Brigitte Poulin, Jordi Recasens, François Calatayud, Jesús Miñano, Annick Gibon, Audrey Alignier, Nicolas Gross, Aliette Bosem Baillod, David Giralt, Françoise Burel, Cyrille Violle, Jude Girard, Paul Miguet, Barbara Baraibar, Colette Bertrand, Lenore Fahrig, Laura Henckel, Xavier O. Solé-Senan, Clélia Sirami, Annika L. Hass, Scott Mitchell, Gerard Bota, Aude Vialatte, Romain Carrié, Biodiversité agroécologie et aménagement du paysage (UMR BAGAP), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universitat de Lleida, Pennsylvania State University (Penn State), Penn State System, Biology, Geomatics and Landscape Ecology Research Laboratory, Carleton University, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), 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), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Dynamiques et écologie des paysages agriforestiers (DYNAFOR), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), British Trust for Ornithology (BTO), University Medical Center Göttingen (UMG), Agroscope FAL Reckenholz (AGROSCOPE), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), 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), LTSER Zone Atelier Plaine & Val de Sèvre, Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Lund University [Lund], Department of Biology, Carleton University (Carleton University), Station Biologique de la Tour du Valat, Georg-August-University [Göttingen], Institute of Biochemistry and MTA SZBK 'Lendület' Laboratory of Cell Cycle Regulation, Natural Sciences and Engineering Research Council of Canada, ANR‐11‐EBID‐0004, Agence Nationale de la Recherche, Canada Foundation for Innovation, ANR-11-EBID-0004,FarmLand,European Network on Farmland Heterogeneity, Biodiversity and Ecosystem Services(2011), Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, 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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), 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), Zone Atelier Plaine et Val de Sèvre [LTSER France], and Georg-August-University = Georg-August-Universität Göttingen

Subjects
0106 biological sciences, Gamma diversity, media_common.quotation_subject, Biodiversity, Males herbes--Control, Conreus, farmland, 010603 evolutionary biology, 01 natural sciences, Competition (biology), Crop, field border, crop mosaic, Agricultural productivity, Crop mosaic, media_common, 2. Zero hunger, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Ecology, business.industry, Agroforestry, 010604 marine biology & hydrobiology, landscape composition, landscape configuration, Biodiversitat--Conservació, 15. Life on land, Field border, Paisatge, Geography, Agriculture, diversity partitioning, Biodiversity and ecosystem services, Alpha diversity, biodiversity conservation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Weed, business, weed
Abstract

1. Increasing landscape heterogeneity by restoring semi-natural elements to reverse farmland biodiversity declines is not always economically feasible or acceptable to farmers due to competition for land. We hypothesized that increasing the hetero-geneity of the crop mosaic itself, hereafter referred to as crop heterogeneity, can have beneficial effects on within-field plant diversity .2. Using a unique multi-country dataset from a cross-continent collaborative project covering 1,451 agricultural fields within 432 landscapes in Europe and Canada, we assessed the relative effects of compositional and configurational crop heteroge-neity on within-field plant diversity components. We also examined how these relationships were modulated by the position within the field. 3. We found strong positive effects of configurational crop heterogeneity on within-field plant alpha and gamma diversity in field interiors. These effects were as high as the effect of semi-natural cover. In field borders, effects of crop heterogeneity were limited to alpha diversity. We suggest that a heterogeneous crop mosaic may overcome the high negative impact of management practices on plant diversity in field interiors, whereas in field borders, where plant diversity is already high, landscape effects are more limited. 4. Synthesis and applications. Our study shows that increasing configurational crop heterogeneity is beneficial to within-field plant diversity. It opens up a new effec-tive and complementary way to promote farmland biodiversity without taking land out of agricultural production. We therefore recommend adopting manipulation of crop heterogeneity as a specific, effective management option in future policy measures, perhaps adding to agri-environment schemes, to contribute to the con-servation of farmland plant diversity. Natural Sciences and Engineering Research Council of Canada; German Ministry of Research and Education; Agence Nationale de la Recherche, Grant/Award Number: ANR-11-EBID-0004; Canada Foundation for Innovation; German Research Foundation; Spanish Ministry of Economy and Competitiveness; Agriculture and Agri-Food Canada; French National Research Agency, Grant/Award Number: ANR-11-EBID-0004; UK Government Department of the Environment, Food and Rural Affairs; Environment Canada (EC)

Published
2020

15. Increasing crop heterogeneity enhances multitrophic diversity across agricultural regions

Author

Teja Tscharntke, Lluís Brotons, Annika L. Hass, Laura Henckel, Carole Vuillot, Audrey Alignier, Gérard Balent, Vincent Bretagnolle, François Calatayud, Yann Clough, Aliette Bosem Baillod, David Giralt, Paul Miguet, Antonio Ricarte, Cyrille Violle, Péter Batáry, Scott Mitchell, Nicolas Gross, Romain Georges, Clélia Sirami, Gaëtan Lefebvre, Jordi Bosch, Annie Ouin, Bertrand Gauffre, Colette Bertrand, Samuel Hilaire, Jacques Baudry, Lenore Fahrig, Romain Carrié, Jude Girard, Gavin M. Siriwardena, Aude Vialatte, Jesús Miñano, Irene Robleño, Jean-Louis Martin, Assu Gil-Tena, Isabelle Badenhausser, Raphaël Mathevet, Jordi Recasens, Jose Antonio Barrientos, Kathryn Lindsay, Gerard Bota, Françoise Burel, Annick Gibon, M. A. Marcos-García, Lutz Tischendorf, Brigitte Poulin, Xavier O. Solé-Senan, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), 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, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Universidad Rey Juan Carlos [Madrid] (URJC), University of Göttingen - Georg-August-Universität Göttingen, Biodiversité agroécologie et aménagement du paysage (UMR BAGAP), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Ecole supérieure d'Agricultures d'Angers (ESA), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, 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), Lund University [Lund], LTSER «Zone Atelier Plaine & Val de Sevre» [France], Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), 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)-Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR), 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), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de la Recherche Agronomique (INRA), Centre d'Ecologie et des Sciences de la COnservation (CESCO), Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Carleton University, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), Centre d'Etudes Biologiques de Chizé [France] (USC 1339 INRA), Institut de recherche de la Tour du Valat, Joint Research Unit CTFC – AGROTECNIO, Solsona, Spain, Universitat de Lleida, Centre for Ecological Research and Forestry Applications (CREAF), Universitat Autònoma de Barcelona (UAB), Universidad de Alicante, Universidad de Murcia, British Trust for Ornithology (BTO), Centro de Investigaciones Biológicas (CSIC), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Biology, Carleton University (Carleton University), WC1034, Department for Environment, Food and Rural Affairs, ERC-StG-2014-639706-CONSTRAINTS, H2020 European Research Council, FP7-609398, Agreenskills, JCI-2012-12089, Juan de la Cierva, ANR-11-EBID-0004,FarmLand,European Network on Farmland Heterogeneity, Biodiversity and Ecosystem Services(2011), Universidad de Alicante. Departamento de Ciencias Ambientales y Recursos Naturales, Universidad de Alicante. Centro Iberoamericano de la Biodiversidad, Biodiversidad y Biotecnología aplicadas a la Biología de la Conservación, Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), LTSER Zone Atelier Plaine & Val de Sèvre, 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)-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes Biologiques de Chizé, ANR-11-EBID-0004, Agence Nationale de la Recherche, ANR: European Network on Farmland Heterogeneity, Biodiversity and Ecosystem Services,FARMLAND,ANR-11-EBID0004, Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), 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), Georg-August-University = Georg-August-Universität Göttingen, Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST-Ecole supérieure d'Agricultures d'Angers (ESA), 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), 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), 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)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), and Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)

Subjects
Crops, Agricultural, 0106 biological sciences, 010504 meteorology & atmospheric sciences, Multitaxa, Biodiversity, 010603 evolutionary biology, 01 natural sciences, Ecosystem services, Birds, Crop, crop mosaic, Animals, Humans, Zoología, farmland landscape complementation, Agricultural productivity, Ecosystem, 0105 earth and related environmental sciences, Crop mosaic, biodiversity, 2. Zero hunger, Multidisciplinary, business.industry, Ecology, Breeding, genetics and propagation, Agriculture, Spiders, Vegetation, Biological Sciences, Bees, 15. Life on land, Landscape complementation, Europe, Farmland, Taxon, Geography, Crop diversity, 13. Climate action, North America, [SDE]Environmental Sciences, Biodiversity and ecosystem services, multitaxa, business, Butterflies
Abstract

Agricultural landscape homogenization has detrimental effects on biodiversity and key ecosystem services. Increasing agricultural landscape heterogeneity by increasing seminatural cover can help to mitigate biodiversity loss. However, the amount of seminatural cover is generally low and difficult to increase in many intensively managed agricultural landscapes. We hypothesized that increasing the heterogeneity of the crop mosaic itself (hereafter “crop heterogeneity”) can also have positive effects on biodiversity. In 8 contrasting regions of Europe and North America, we selected 435 landscapes along independent gradients of crop diversity and mean field size. Within each landscape, we selected 3 sampling sites in 1, 2, or 3 crop types. We sampled 7 taxa (plants, bees, butterflies, hoverflies, carabids, spiders, and birds) and calculated a synthetic index of multitrophic diversity at the landscape level. Increasing crop heterogeneity was more beneficial for multitrophic diversity than increasing seminatural cover. For instance, the effect of decreasing mean field size from 5 to 2.8 ha was as strong as the effect of increasing seminatural cover from 0.5 to 11%. Decreasing mean field size benefited multitrophic diversity even in the absence of seminatural vegetation between fields. Increasing the number of crop types sampled had a positive effect on landscape-level multitrophic diversity. However, the effect of increasing crop diversity in the landscape surrounding fields sampled depended on the amount of seminatural cover. Our study provides large-scale, multitrophic, cross-regional evidence that increasing crop heterogeneity can be an effective way to increase biodiversity in agricultural landscapes without taking land out of agricultural production. This research was funded by the ERA-Net BiodivERsA, with the national funders French National Research Agency (ANR-11-EBID-0004), German Ministry of Research and Education, German Research Foundation and Spanish Ministry of Economy and Competitiveness, part of the 2011 BiodivERsA call for research proposals. The UK component of this research was funded by the UK Government Department of the Environment, Food and Rural Affairs (Defra), as Project WC1034. The Canadian component of this research was funded by a Natural Sciences and Engineering Research Council of Canada Strategic Project, the Canada Foundation for Innovation, Environment Canada, and Agriculture and Agri-Food Canada. N.G. was supported by the AgreenSkills+ Fellowship programme which has received funding from the EU’s Seventh Framework Programme under Grant Agreement FP7-609398 (AgreenSkills+ contract). A.G.-T. (Juan de la Cierva Fellow, JCI-2012-12089) was funded by Ministerio de Economía y Competitividad (Spain). C. Violle was supported by the European Research Council Starting Grant Project “Ecophysiological and biophysical constraints on domestication of crop plants” (Grant ERC-StG-2014-639706-CONSTRAINTS). A.R.’s position at the University of Alicante is funded by the “Vicerrectorado de Investigación y Transferencia de Conocimiento.”

Published
2019

16. Title Ecological relevance of least cost path analysis An easy implementation method for landscape urban planning

Author

Manon Balbi, Solene Croci, Eric J. Petit, Aude Ernoult, Romain Georges, Jean Nabucet, Luc Madec, 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), Écologie et santé des écosystèmes (ESE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), French Nord-Pas de Calais, Bretagne regions, 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)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Normandie Université (NU)-Normandie Université (NU), 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), 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), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN)

Subjects
Environmental Engineering, 0208 environmental biotechnology, Foraging, Translocation, 02 engineering and technology, Land cover, 010501 environmental sciences, Management, Monitoring, Policy and Law, 01 natural sciences, Ground-dwelling mammal, Urban planning, Fragmentation, 11. Sustainability, Humans, Cities, City Planning, Waste Management and Disposal, Ecosystem, 0105 earth and related environmental sciences, Ecology, Resistance (ecology), business.industry, City, Green infrastructure, General Medicine, 15. Life on land, 020801 environmental engineering, Geography, Least cost paths, Biological dispersal, Resistance based model, [SDV.IB]Life Sciences [q-bio]/Bioengineering, France, business, Landscape planning, Hedgehog, Landscape connectivity
Abstract

International audience; Landscape connectivity promotes dispersal and other types of movement, including foraging activity; consequently, the inclusion of connectivity concept is a priority in conservation and landscape planning in response to fragmentation. Urban planners expect the scientific community to provide them with an easy, but scientifically rigorous, method to identify highly connecting contexts in landscapes. The least-cost paths (LCP) method is one of the simplest resistance-based models that could be a good candidate to spatially identify areas where movement is potentially favored in a given landscape. We tested the efficiency of LCP predictions to detect highly connecting landscape contexts facilitating individual movements compared to those performed in un-connecting landscape contexts. We used a landscape-level behavioral experiment based on a translocation protocol and individual repeated measures. In the city of Rennes (France), 30 male hedgehogs (Erinaceus europaeus) were translocated and radio-tracked in both highly connecting and un-connecting contexts, respectively, which were determined by the presence and absence of modelled LCPs. Individual movement patterns were compared between the two predicted contexts. Individuals travelled longer distances, moved faster, and were more active in the highly connecting contexts compared to the un-connecting contexts. Moreover, in highly connecting contexts, hedgehog movement followed LCP orientation, with individuals using more wooded habitats than other land cover class. By using a rigorous experimental design, this study validated the ecological relevance of LCP analysis to identify highly connecting areas, and could be easily implemented by urban landscape planners.

Published
2019

17. Landscape configurational heterogeneity by small-scale agriculture, not crop diversity, maintains pollinators and plant reproduction in western Europe

Author

Teja Tscharntke, M. A. Marcos-García, Colette Bertrand, Annika L. Hass, Péter Batáry, Jacques Baudry, Aliette Bosem Baillod, Gavin M. Siriwardena, Yann Clough, Jordi Bosch, Antonio Ricarte, Romain Georges, David Giralt, Urs G. Kormann, Clélia Sirami, Françoise Burel, Lluís Brotons, Lenore Fahrig, Jean-Louis Martin, Oregon State University (OSU), Lund University [Lund], Université Paul-Valéry - Montpellier 3 (UM3), INRA SAD, Institut National de la Recherche Agronomique (INRA), 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)-Centre National de la Recherche Scientifique (CNRS), Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Forest Sciences Centre of Catalonia (CTFC), Universidad de Alicante, ERA-Net BiodivERsA, French National Research Agency [ANR-11-EBID-0004], German Ministry of Research and Education [FKZ 01LC1104A], Spanish Ministry of Economy and Competitiveness, part of the BiodivERsA, UK Government Department of the Environment, Food and Rural Affairs (Defra) [WC1034], Université Paul-Valéry - Montpellier 3 (UPVM), Unité de recherche SAD Armorique (AMORIQUE), 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), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), ANR-11-EBID-0004,FarmLand,European Network on Farmland Heterogeneity, Biodiversity and Ecosystem Services(2011), Universidad de Alicante. Departamento de Ciencias Ambientales y Recursos Naturales, Universidad de Alicante. Centro Iberoamericano de la Biodiversidad, Biodiversidad y Biotecnología aplicadas a la Biología de la Conservación, 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), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)

Subjects
Crops, Agricultural, 0106 biological sciences, Biodiversity, Environment, 010603 evolutionary biology, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Plant reproduction, Pollen transfer, Crop, Agricultural land, Pollinator, Germany, field size, Hoverfly, Zoología, Pollination, Bee, General Environmental Science, hoverfly, 2. Zero hunger, Ecology, General Immunology and Microbiology, Agroforestry, business.industry, Reproduction, 010604 marine biology & hydrobiology, Field size, Landscape heterogeneity, Agriculture, General Medicine, 15. Life on land, United Kingdom, compositional heterogeneity, Habitat destruction, Geography, Compositional heterogeneity, Crop diversity, Spain, 13. Climate action, France, pollen transfer, landscape heterogeneity, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, General Agricultural and Biological Sciences, business, bee
Abstract

Agricultural intensification is one of the main causes for the current biodiversity crisis. While reversing habitat loss on agricultural land is challenging, increasing the farmland configurational heterogeneity (higher field border density) and farmland compositional heterogeneity (higher crop diversity) has been proposed to counteract some habitat loss. Here, we tested whether increased farmland configurational and compositional heterogeneity promote wild pollinators and plant reproduction in 229 landscapes located in four major western European agricultural regions. High-field border density consistently increased wild bee abundance and seed set of radish (Raphanus sativus), probably through enhanced connectivity. In particular, we demonstrate the importance of crop–crop borders for pollinator movement as an additional experiment showed higher transfer of a pollen analogue along crop–crop borders than across fields or along semi-natural crop borders. By contrast, high crop diversity reduced bee abundance, probably due to an increase of crop types with particularly intensive management. This highlights the importance of crop identity when higher crop diversity is promoted. Our results show that small-scale agricultural systems can boost pollinators and plant reproduction. Agri-environmental policies should therefore aim to halt and reverse the current trend of increasing field sizes and to reduce the amount of crop types with particularly intensive management. This research was funded by the ERA-Net BiodivERsA, with the national funders French National Research Agency (ANR-11-EBID-0004), German Ministry of Research and Education (FKZ:01LC1104A) and Spanish Ministry of Economy and Competitiveness, part of the 2011 BiodivERsA call for research proposals. The contribution from the UK was funded by the UK Government Department of the Environment, Food and Rural Affairs (Defra), as project WC1034.

Published
2018

18. 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

19. Flowering cover crops in winter increase pest control but not trophic link diversity

Author

Maxime Damien, Joan van Baaren, Diab Al Hassan, Romain Georges, Nicolas Desneux, Cécile Le Lann, Lucy Alford, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Institut Sophia Agrobiotech (ISA), Institut National de la Recherche Agronomique (INRA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institute of Molecular Cell and Systems Biology, University of Glasgow, The FLEUR project and the French Institute of Agronomic Research funded this study and M. Damien’s grant. N. Desneux was supported in part by the FP7-PEOPLE-2013-IRSES program (project APHIWEB, grant no. 611810), European Project: 611810,EC:FP7:PEOPLE,FP7-PEOPLE-2013-IRSES,APHIWEB(2014), 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), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Recherche Agronomique (INRA), 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)-Centre National de la Recherche Scientifique (CNRS), Institut Sophia Agrobiotech [Sophia Antipolis] (ISA), Institut National de la Recherche Agronomique (INRA)-Université Nice Sophia Antipolis (... - 2019) (UNS), and Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, Sown flowering cover crops, Biology, 010603 evolutionary biology, 01 natural sciences, Ecosystem, Cover crop, Trophic level, Aphid-parasitoids trophic system, 2. Zero hunger, Ecology, business.industry, Winter, Pest control, 15. Life on land, Food web, 010602 entomology, Agronomy, Habitat, 13. Climate action, Agriculture, Biological control, Animal Science and Zoology, Arable land, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business, Agronomy and Crop Science
Abstract

International audience; In agrosystems, the increase in non-crop plant diversity by habitat management in or around arable fields contributes to improved Conservation Biological Control. During winter, plant flower are often used as monospecific ground cover and are expected to die before flowering as a result of recurrent frost events. Decreases in minimal temperature due to climate change offers new possibilities for plants used in such sown cover crops to mature and flowers. Changes in plant phenology thus constitute an important environmental change with expected consequences for ecosystem functioning, such as biological control. In Brittany, where winter agricultural landscape is dominated by a mosaic of cereal and sown cover crops, we assessed the consequences of mustard (Synapis alba) flowering cover crops (MFCC) on aphid parasitism and food web structure in plots adjoining cereal crops, in contrast to plots close to spontaneous non-crop plants (SNCP) of the same field. Overall, aphid parasitism rate at the field scale was strong (60–70%), being 13% higher adjacent to the MFCC than closer to SNCP. In addition, there was no change in food web structure between the two distinct zones, enabling us to hypothesize that MFCC mostly constituted an alimentary patch. The positive effect on parasitism rate was significant but weak, as floral nectar of mustard is known to be of poor quality for parasitoids. Results highlight the potential advantages of adapting practices in response to actual changes in agrosystems. Increase floral diversity in sown cover crops could constitute a complementary method in management programs, by providing more alternative food resources, alternative hosts, and climatic refuge to enhance the Conservation Biological Control of parasitoid populations.

Published
2017

26. Landscape heterogeneity as an ecological filter of species traits

Author

Françoise Burel, Stéphanie Aviron, Romain Georges, Aude Ernoult, Rémi Duflot, 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), SAD Paysage (SAD Paysage), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), DIVA-Corridor research project, ZA Armorique, R. Arditi, 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)-Centre National de la Recherche Scientifique (CNRS), 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), AGROCAMPUS OUEST, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)

Subjects
0106 biological sciences, Gamma diversity, Range (biology), Landscape ecology, Biodiversity, Community, Biology, 010603 evolutionary biology, 01 natural sciences, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, 2. Zero hunger, Ecology, Agroforestry, 010604 marine biology & hydrobiology, Assemblage, Agriculture, 15. Life on land, Spatial heterogeneity, Habitat, Flora, Ecotope, Biological dispersal, Carabidae, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

International audience; Landscape heterogeneity is a major driver of biodiversity in agricultural areas and represents an important parameter in conservation strategies. However, most landscape ecology studies measure gamma diversity of a single habitat type, despite the assessment of multiple habitats at a landscape scale being more appropriate. This study aimed to determine the effects of landscape composition and spatial configuration on life-history trait distribution in carabid beetle and herbaceous plant communities. Here, we assessed the gamma diversity of carabid beetles and plants by sampling three dominant habitats (woody habitats, grasslands and crops) across 20 landscapes in western France. RLQ and Fourth Corner three-table analyses were used to assess the association of dispersal, phenology, reproduction and trophic level traits with landscape characteristics. Landscape composition and configuration were both significant in explaining functional composition. Carabid beetles and plants showed similar response regarding phenology, i.e. open landscapes were associated with earlier breeding species. Carabid beetle dispersal traits exhibited the strongest relationship with landscape structure; for instance, large and apterous species preferentially inhabited woody landscapes, whereas small and macropterous species preferentially inhabited open landscapes. Heavy seeded plant species dominated in intensified agricultural landscapes (high % crops), possibly due to the removal of weeds (which are usually lightweight seeded species). The results of this study emphasise the roles of landscape composition and configuration as ecological filters and the importance of preserving a range of landscape types to maintain functional biodiversity at regional scales.

Published
2014

27. Could Behaviour and Not Physiological Thermal Tolerance Determine Winter Survival of Aphids in Cereal Fields?

Author

Joan van Baaren, Lucy Alford, Thiago Oliveira Andrade, Françoise Burel, Romain Georges, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Marie Curie Intra-European Fellowship (FP7-PEOPLE-2010-IEF-326943), 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), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)

Subjects
Atmospheric Science, Hot Temperature, Acclimatization, Climate Change, Population Dynamics, lcsh:Medicine, Introduced species, Biology, Pests, Species Specificity, Sitobion avenae, Rhopalosiphum padi, Temperate climate, Animals, lcsh:Science, Triticum, Climatology, Multidisciplinary, Resistance (ecology), Behavior, Animal, Animal Behavior, Ecology, lcsh:R, Biology and Life Sciences, Agriculture, Thermoregulation, 13. Climate action, Ectotherm, Aphids, Earth Sciences, Insect Pests, lcsh:Q, Seasons, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Edible Grain, Zoology, Entomology, Research Article
Abstract

International audience; Traits of physiological thermotolerance are commonly measured in the laboratory as predictors of the field success of ectotherms at unfavourable temperatures (e.g. during harsh winters, heatwaves, or under conditions of predicted global warming). Due to being more complicated to measure, behavioural thermoregulation is less commonly studied, although both physiology and behaviour interact to explain the survival of ectotherms. The aphids Metopolophium dirhodum, Rhopalosiphum padi and Sitobion avenae are commercially important pests of temperate cereal crops. Although coexisting, these species markedly differ in winter success, with R. padi being the most abundant species during cold winters, followed by S. avenae and lastly M. dirhodum. To better understand the thermal physiology and behavioural factors contributing to differential winter success, the lethal temperature (physiological thermotolerance) and the behaviour of aphids in a declining temperature regime (behavioural thermotolerance) of these three species were investigated. Physiological thermotolerance significantly differed between the three species, with R. padi consistently the least cold tolerant and S. avenae the most cold tolerant. However, although the least cold tolerant of the study species, significantly more R. padi remained attached to the host plant at extreme sub-zero temperatures than S. avenae and M. dirhodum. Given the success of anholocyclic R. padi in harsh winters compared to its anholocyclic counterparts, this study illustrates that behavioural differences could be more important than physiological thermotolerance in explaining resistance to extreme temperatures. Furthermore it highlights that there is a danger to studying physiological thermotolerance in isolation when ascertaining risks of ectotherm invasions, the establishment potential of exotic species in glasshouses, or predicting species impacts under climate change scenarios. OPEN ACCESS

Published
2014

28. Evolutionary supply chain risk management : transforming culture for sustainable competitive advantage

Author

Mahender Singh., Massachusetts Institute of Technology. Engineering Systems Division., Massachusetts Institute of Technology. Technology and Policy Program., Lévy, Romain (Romain Georges Jean), Mahender Singh., Massachusetts Institute of Technology. Engineering Systems Division., Massachusetts Institute of Technology. Technology and Policy Program., and Lévy, Romain (Romain Georges Jean)

Abstract

Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008., This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections., Includes bibliographical references (p. 92-94)., In today's fast-paced and turbulent global economy, the topic of risk management has gained significant interest in the business and academic world. However, in practice, risk management remains rather underdeveloped and often dealt with in an informal and reactive manner. To this end, we propose a comprehensive approach to supply chain risk management based on academic and business research and apply it to a company to develop a case study. We survey the state-of-the-art of supply chain risk management by exploring both the qualitative and quantitative sides of risk management in this thesis. We study in detail the reasons why risk is often neglected in organizations, and learn from several conceptual frameworks that have been proposed in the literature. On the more quantitative side, we explore tools that have been used or could be used for supply chain risk management, such as Decision Analysis or Real Options. We apply our proposed supply chain risk management framework to the case company, focusing primarily on qualitative methods. Data for the analysis is collected by way of semistructured interviews with business executives and relevant company documents. The results are presented to shed light on the current risk management practices at the company by highlighting their strengths and potential weaknesses. The research also draws from fields outside the normal realm of supply chain risk management. A policy perspective is taken to isolate important drivers of risk that lie beyond the direct control of organizations, such as political uncertainty and regulations. The objective is to promote a more proactive outlook in organizations to anticipate and exploit the uncertainty in the business environment. Similarly, a market perspective is used to articulate a novel way to uncover information asymmetry in the domain of risk management. Instead of simply pointing to asymmetry as an undesirable fact of business world, we propose two approaches that could be used for, by Romain Lévy., M.Eng.in Logistics, S.M.

Published
2008

39. Mapping potential, existing and efficient wetlands using free remote sensing data

Author

Cendrine Mony, Elodie Fabre, Simon Dufour, Sébastien Rapinel, Damien Arvor, Laurence Hubert-Moy, 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), Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES), Neurosurgery Research and Education Foundation, National Geographic Society Education Foundation, 2101606295, French Ministry of Ecology, Lucie Lecoq, Romain Georges, Bernard Clément, 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), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN)

Subjects
Environmental Engineering, Watershed, Watershed area, Climate Change, 0208 environmental biotechnology, Climate change, Wetland, 02 engineering and technology, Land cover, 010501 environmental sciences, Management, Monitoring, Policy and Law, 01 natural sciences, Soil, Wetland functions, Humans, Digital elevation model, Sentinel, Waste Management and Disposal, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Remote sensing, geography, Lidar, geography.geographical_feature_category, General Medicine, Vegetation, [SHS.GEO]Humanities and Social Sciences/Geography, 15. Life on land, 020801 environmental engineering, MODIS, 13. Climate action, Remote sensing (archaeology), Wetlands, Remote Sensing Technology, Environmental science, Natural vegetations, France, Random forest, Environmental Monitoring
Abstract

Although wetlands remain threatened by human pressures and climate change, monitoring and managing them are challenging due to their high spatial and temporal dynamics within a fine-grained pattern. New satellite time-series at high temporal and spatial resolutions provide a promising opportunity to map and monitor wetlands. The objective of this study was to develop an operational method for managing valley bottom wetlands based on available free remote sensing data. The Potential, Existing, Efficient Wetlands (PEEW) approach was adapted to remote sensing data to delineate three wetland components: (1) potential wetlands, mapped from a digital terrain model derived from LiDAR data; (2) existing wetlands, delineated from land cover maps derived from Sentinel-1/2 time-series; and (3) efficient wetlands, identified from functional indicators (i.e. annual primary production, vegetation phenology, seasonality of carbon flux) derived from MODIS annual time-series. Soil and vegetation samples were collected in the field to calibrate and validate classification of remote sensing data. The method was applied to a 113 000 ha watershed in northwestern France. Results show that potential wetlands were successfully delineated (82% overall accuracy) and covered 21% of the watershed area, while 44% of existing wetlands had been lost. Small wetlands along headwater channels, which are considered as ordinary, cover 56% of wetland area in the watershed. Efficient wetlands were identified as contiguous pixels with a similar temporal functional trajectory. This method, based on free remote sensing data, provides a new perspective for wetland management. The method can identify sites where restoration measures should be prioritized and enables better understanding and monitoring of the influence of management practices and climate on wetland functions.

Published
2018

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