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478 results on '"Schurr, Frank"'

1. Distribution of infectious and parasitic agents among three sentinel bee species across European agricultural landscapes

Author

Babin, Aurélie, Schurr, Frank, Delannoy, Sabine, Fach, Patrick, Huyen Ton Nu Nguyet, Minh, Bougeard, Stéphanie, de Miranda, Joachim R., Rundlöf, Maj, Wintermantel, Dimitry, Albrecht, Matthias, Attridge, Eleanor, Bottero, Irene, Cini, Elena, Costa, Cecilia, De la Rúa, Pilar, Di Prisco, Gennaro, Dominik, Christophe, Dzul, Daniel, Hodge, Simon, Klein, Alexandra-Maria, Knapp, Jessica, Knauer, Anina C., Mänd, Marika, Martínez-López, Vicente, Medrzycki, Piotr, Pereira-Peixoto, Maria Helena, Potts, Simon G., Raimets, Risto, Schweiger, Oliver, Senapathi, Deepa, Serrano, José, Stout, Jane C., Tamburini, Giovanni, Brown, Mark J. F., Laurent, Marion, Rivière, Marie-Pierre, Chauzat, Marie-Pierre, and Dubois, Eric

Published
2024
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6. Global relationships in tree functional traits

Author

Maynard, Daniel S., Bialic-Murphy, Lalasia, Zohner, Constantin M., Averill, Colin, van den Hoogen, Johan, Ma, Haozhi, Mo, Lidong, Smith, Gabriel Reuben, Acosta, Alicia T. R., Aubin, Isabelle, Berenguer, Erika, Boonman, Coline C. F., Catford, Jane A., Cerabolini, Bruno E. L., Dias, Arildo S., González-Melo, Andrés, Hietz, Peter, Lusk, Christopher H., Mori, Akira S., Niinemets, Ülo, Pillar, Valério D., Pinho, Bruno X., Rosell, Julieta A., Schurr, Frank M., Sheremetev, Serge N., da Silva, Ana Carolina, Sosinski, Ênio, van Bodegom, Peter M., Weiher, Evan, Bönisch, Gerhard, Kattge, Jens, and Crowther, Thomas W.

Published
2022
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8. The combined effects of resource landscapes and herbivory on pollination services in agro‐ecosystems.

Author

Shapira, Tal, Schurr, Frank M., Fischer, Sonja, Jeuken, Neal, Coll, Moshe, and Mandelik, Yael

Subjects
*POLLINATION, *AGRICULTURE, *LANDSCAPES, *POLLINATORS, *FLOWER seeds, *ECOSYSTEMS
Abstract

Pollinator activity is affected by landscape‐scale flower availability, and by pollinator interactions with co‐occurring organisms. Of special interest are potentially detrimental effects of herbivores on the attractiveness of plants to pollinators. While insect herbivores are abundant in natural and agro‐ecosystems, the combined effect of herbivory and landscape floral resources on pollinator activity and the delivery of pollination services is little studied and understood. Here we investigated the combined effects of surrounding flower cover and aphid herbivory on pollination services in agricultural landscapes. We apply a resource landscape approach for mapping the spatial distribution of floral resources across landscapes, using neighbourhood modelling and empirical data on flower availability in specific land‐use types. In each of 25 Mediterranean landscapes spanning a gradient of land‐use intensity ranging from natural to agricultural, we established paired patches of potted aphid‐infested or aphid‐free phytometer plants Diplotaxis erucoides. In each patch, we recorded the activity of insects visiting flowers and subsequent seed set. We also recorded the relative abundance of flowers in dominant land‐use locales within a 1 km radius of each patch. Neighbourhood analyses revealed that plant–pollinator interactions in our study system are shaped by herbivory, distribution of floral resources across the landscape, and the interaction between these factors. We found a negative competitive effect of flower cover on pollinator activity and phytometer seed‐set; this effect was stronger on aphid‐infested than aphid‐free plants. The main pollinator guilds in the study sites (wild bees, honeybees and non‐bee pollinators) responded differently to these factors. Our results highlight the importance of combining a resource landscape approach with the exploration of interactions among different organisms, when mapping pollination services and identifying the scale at which pollinators respond to foraging resources. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Statistical ecology comes of age

Author

Gimenez, Olivier, Buckland, Stephen T, Morgan, Byron JT, Bez, Nicolas, Bertrand, Sophie, Choquet, Rémi, Dray, Stéphane, Etienne, Marie-Pierre, Fewster, Rachel, Gosselin, Frédéric, Mérigot, Bastien, Monestiez, Pascal, Morales, Juan M, Mortier, Frédéric, Munoz, François, Ovaskainen, Otso, Pavoine, Sandrine, Pradel, Roger, Schurr, Frank M, Thomas, Len, Thuiller, Wilfried, Trenkel, Verena, de Valpine, Perry, and Rexstad, Eric

Subjects
Aetiology, 2.5 Research design and methodologies (aetiology), Animals, Biodiversity, Ecology, Models, Statistical, citizen science, hidden Markov model, hierarchical model, movement ecology, software package, spatially explicit capture-recapture, species distribution modelling, state-space model, spatially explicit capture–recapture, state–space model, Biological Sciences, Evolutionary Biology
Abstract

The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and uncertainties inherent in ecology. Statistical ecology has gelled over the past decade as a discipline that moves away from describing patterns towards modelling the ecological processes that generate these patterns. Following the fourth International Statistical Ecology Conference (1-4 July 2014) in Montpellier, France, we analyse current trends in statistical ecology. Important advances in the analysis of individual movement, and in the modelling of population dynamics and species distributions, are made possible by the increasing use of hierarchical and hidden process models. Exciting research perspectives include the development of methods to interpret citizen science data and of efficient, flexible computational algorithms for model fitting. Statistical ecology has come of age: it now provides a general and mathematically rigorous framework linking ecological theory and empirical data.

Published
2014

23. Trueness and precision of the real-time RT-PCR method for quantifying the chronic bee paralysis virus genome in bee homogenates evaluated by a comparative inter-laboratory study

Author

Schurr, Frank, Cougoule, Nicolas, Rivière, Marie-Pierre, Ribière-Chabert, Magali, Achour, Hamid, Ádám, Dán, Castillo, Carlos, de Graaf, Dirk C., Forsgren, Eva, Granato, Anna, Heinikainen, Sirpa, Jurovčíková, Júlia, Kryger, Per, Manson, Christine, Ménard, Marie-Françoise, Perennes, Stéphane, Schäfer, Marc O., Ibañez, Elena San Miguel, Silva, João, Gajger, Ivana Tlak, Tomkies, Victoria, Toplak, Ivan, Viry, Alain, Zdańska, Dagmara, and Dubois, Eric

Published
2017
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26. Functional traits shape plant–plant interactions and recruitment in a hotspot of woody plant diversity.

Author

Cooksley, Huw, Dreyling, Lukas, Esler, Karen J., Griebenow, Stian, Neumann, Günter, Valentine, Alex, Schleuning, Matthias, and Schurr, Frank M.

Subjects
PLANT diversity, ECOLOGICAL forecasting, WOODY plants, PLANT competition, SPATIAL arrangement, RESTORATION ecology, PLANT communities
Abstract

Summary: Understanding and predicting recruitment in species‐rich plant communities requires identifying functional determinants of both density‐independent performance and interactions.In a common‐garden field experiment with 25 species of the woody plant genus Protea, we varied the initial spatial and taxonomic arrangement of seedlings and followed their survival and growth during recruitment. Neighbourhood models quantified how six key functional traits affect density‐independent performance, interaction effects and responses.Trait‐based neighbourhood models accurately predicted individual survival and growth from the initial spatial and functional composition of species‐rich experimental communities. Functional variation among species caused substantial variation in density‐independent survival and growth that was not correlated with interaction effects and responses. Interactions were spatially restricted but had important, predominantly competitive, effects on recruitment. Traits increasing the acquisition of limiting resources (water for survival and soil P for growth) mediated trade‐offs between interaction effects and responses. Moreover, resprouting species had higher survival but reduced growth, likely reinforcing the survival–growth trade‐off in adult plants.Resource acquisition of juvenile plants shapes Protea community dynamics with acquisitive species with strong competitive effects suffering more from competition. Together with functional determinants of density‐independent performance, this makes recruitment remarkably predictable, which is critical for efficient restoration and near‐term ecological forecasts of species‐rich communities. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Predictive ecology in a changing world

Author

Mouquet, Nicolas, Lagadeuc, Yvan, Devictor, Vincent, Doyen, Luc, Duputié, Anne, Eveillard, Damien, Faure, Denis, Garnier, Eric, Gimenez, Olivier, Huneman, Philippe, Jabot, Franck, Jarne, Philippe, Joly, Dominique, Julliard, Romain, Kéfi, Sonia, Kergoat, Gael J., Lavorel, Sandra, Le Gall, Line, Meslin, Laurence, Morand, Serge, Morin, Xavier, Morlon, Hélène, Pinay, Gilles, Pradel, Roger, Schurr, Frank M., Thuiller, Wilfried, and Loreau, Michel

Published
2015

45. Simulating the spread and establishment of alien species along aquatic and terrestrial transport networks: A multi-pathway and high-resolution approach

Author

Projekt DEAL, Federal Ministry of Transport and Digital Infrastructure (Germany), Federal Railway Authority of Germany, Federal Maritime and Hydrographic Agency (Germany), Federal Institute of Hydrology (Germany), Federal Highway Research Institute (Germany), Bagnara, Maurizio, Nowak, Larissa, Boehmer, Hans Juergen, Schöll, Franz, Schurr, Frank M., Seebens, Hanno, Projekt DEAL, Federal Ministry of Transport and Digital Infrastructure (Germany), Federal Railway Authority of Germany, Federal Maritime and Hydrographic Agency (Germany), Federal Institute of Hydrology (Germany), Federal Highway Research Institute (Germany), Bagnara, Maurizio, Nowak, Larissa, Boehmer, Hans Juergen, Schöll, Franz, Schurr, Frank M., and Seebens, Hanno

Abstract

The introduction and further spread of many alien species have been a result of trade and transport. Consequently, alien species are often found close to traffic infrastructure and urban areas. To contain and manage the spread of alien species, it is essential to identify and predict major routes of spread, which cannot be obtained by applying common modelling approaches such as species distribution models. Here, we present a new model called CASPIAN to simulate the dispersal of alien species along traffic infrastructure and the establishment of populations along these routes. The model simulates simultaneous spread of species of up to eight different modes of transport along roads, railways and waterways. We calibrated and validated the model using two species that spread within Germany as case studies: the terrestrial plant Senecio inaequidens and the freshwater clam Corbicula fluminea, and performed a shortest path analysis to quantify the relative importance of individual routes for spread. The application of the model yielded detailed predictions of dispersal and establishment for >600,000 segments of the traffic network throughout Germany. Once calibrated, the model captured the general spread dynamics of the two species with higher accuracy for the freshwater environment due to the higher quality of data available for the aquatic species. The quantification of spread routes using the shortest path analysis revealed a clear backbone of major routes of spread, which varied depending on the type of traffic network and the starting points considered. Major routes of spread aligned with high traffic intensities, but high traffic per se did not necessarily result in high spread intensities. Synthesis and application. By simulating the spreading dynamics of alien species along transport networks across multiple pathways, CASPIAN enables the identification of major spread routes along different dispersal pathways and quantification of their relative importance, which

Published
2022

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