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3. Bird populations most exposed to climate change are less sensitive to climatic variation

Author

Bailey, Liam D., van de Pol, Martijn, Adriaensen, Frank, Arct, Aneta, Barba, Emilio, Bellamy, Paul E., Bonamour, Suzanne, Bouvier, Jean-Charles, Burgess, Malcolm D., Charmantier, Anne, Cusimano, Camillo, Doligez, Blandine, Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juškaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Matthysen, Erik, Nilsson, Jan-Åke, Orell, Markku, Rytkönen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Stenning, Martyn J., Török, János, van Oers, Kees, Vatka, Emma, Vriend, Stefan J. G., and Visser, Marcel E.

Published
2022
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5. Data and code for analysis of spatiotemporal variation in traits and environmental variables in European hole-nesting passerines

Author

Research Council of Norway, National Science Centre (Poland), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Hungarian Academy of Sciences, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Ministerio de Educación y Ciencia (España), Observatoire de Recherche Montpelliérain de l'Environnement (France), Russian Science Foundation, Department for Environment, Food & Rural Affairs (UK), University of Antwerp, Research Foundation - Flanders, Norwegian Environment Agency, Government of Norway, Max Planck Society, Swedish Research Council, Centre National de la Recherche Scientifique (France), Ministerio de Ciencia e Innovación (España), Australian Research Council, Vriend, Stefan J. G. [svriend@gmail.com], Vriend, Stefan J. G., Grøtan, Vidar, Gamelon, Marlène, Adriaensen, Frank, Ahola, Markus P., Álvarez, Elena, Bailey, Liam D., Barba, Emilio, Bouvier, Jean-Charles, Burgess, Malcolm D., Bushuev, Andrey, Camacho, Carlos, Canal, David, Charmantier, Anne, Cole, Ella F., Cusimano, Camillo, Doligez, Blandine F., Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Erikstad, Kjell Einar, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juškaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Kålås, John Atle, Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Martínez-Padilla, Jesús, Matthysen, Erik, Oers, Kees van, Orell, Markku, Pinxten, Rianne, Reiertsen, Tone Kristin, Rytkönen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Török, János, Vatka, Emma, Visser, Marcel E., Sæther, Bernt-Erik, Research Council of Norway, National Science Centre (Poland), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Hungarian Academy of Sciences, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Ministerio de Educación y Ciencia (España), Observatoire de Recherche Montpelliérain de l'Environnement (France), Russian Science Foundation, Department for Environment, Food & Rural Affairs (UK), University of Antwerp, Research Foundation - Flanders, Norwegian Environment Agency, Government of Norway, Max Planck Society, Swedish Research Council, Centre National de la Recherche Scientifique (France), Ministerio de Ciencia e Innovación (España), Australian Research Council, Vriend, Stefan J. G. [svriend@gmail.com], Vriend, Stefan J. G., Grøtan, Vidar, Gamelon, Marlène, Adriaensen, Frank, Ahola, Markus P., Álvarez, Elena, Bailey, Liam D., Barba, Emilio, Bouvier, Jean-Charles, Burgess, Malcolm D., Bushuev, Andrey, Camacho, Carlos, Canal, David, Charmantier, Anne, Cole, Ella F., Cusimano, Camillo, Doligez, Blandine F., Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Erikstad, Kjell Einar, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juškaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Kålås, John Atle, Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Martínez-Padilla, Jesús, Matthysen, Erik, Oers, Kees van, Orell, Markku, Pinxten, Rianne, Reiertsen, Tone Kristin, Rytkönen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Török, János, Vatka, Emma, Visser, Marcel E., and Sæther, Bernt-Erik

Abstract

Annual trait data, location information, and climate data from 86 populations of blue tit (Cyanistes caeruleus, n = 31), great tit (Parus major, n = 35) and pied flycatcher (Ficedula hypoleuca, n = 20) across Europe. R code for the analyses of temporal variation in trait values, effects of climate variables on trait values, and spatial synchrony in trait values.

Published
2022

6. Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines

Author

Vriend, Stefan J. G., Grotan, Vidar, Gamelon, Marlene, Adriaensen, Frank, Ahola, Markus P., Alvarez, Elena, Bailey, Liam D., Barba, Emilio, Bouvier, Jean-Charles, Burgess, Malcolm D., Bushuev, Andrey, Camacho, Carlos, Canal, David, Charmantier, Anne, Cole, Ella F., Cusimano, Camillo, Doligez, Blandine F., Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Erikstad, Kjell Einar, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juskaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Kalas, John Atle, Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Martinez-Padilla, Jesus, Matthysen, Erik, van Oers, Kees, Orell, Markku, Pinxten, Rianne, Reiertsen, Tone Kristin, Rytkonen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Torok, Janos, Vatka, Emma, Visser, Marcel E., Saether, Bernt-Erik, Vriend, Stefan J. G., Grotan, Vidar, Gamelon, Marlene, Adriaensen, Frank, Ahola, Markus P., Alvarez, Elena, Bailey, Liam D., Barba, Emilio, Bouvier, Jean-Charles, Burgess, Malcolm D., Bushuev, Andrey, Camacho, Carlos, Canal, David, Charmantier, Anne, Cole, Ella F., Cusimano, Camillo, Doligez, Blandine F., Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Erikstad, Kjell Einar, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juskaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Kalas, John Atle, Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Martinez-Padilla, Jesus, Matthysen, Erik, van Oers, Kees, Orell, Markku, Pinxten, Rianne, Reiertsen, Tone Kristin, Rytkonen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Torok, Janos, Vatka, Emma, Visser, Marcel E., and Saether, Bernt-Erik

Abstract

Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February-May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations.

Published
2023
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7. Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines

Author

Norwegian Research Council, University of Antwerp, Research Foundation - Flanders, Norwegian Environment Agency, Max Planck Society, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Hungarian Academy of Sciences, Ministerio de Ciencia e Innovación (España), Swedish Research Council, Centre National de la Recherche Scientifique (France), National Science Centre (Poland), Observatoire de Recherche Montpelliérain de l'Environnement (France), Russian Science Foundation, Camacho, Carlos [0000-0002-9704-5816], Canal, David [0000-0003-2875-2987], Martínez-Padilla, Jesús [0000-0003-2956-5163], Vriend, Stefan J. G., Grøtan, Vidar, Gamelon, Marlène, Adriaensen, Frank, Ahola, Markus P., Álvarez, Elena, Bailey, Liam D., Barba, Emilio, Bouvier, Jean-Charles, Burgess, Malcolm D., Bushuev, Andrey, Camacho, Carlos, Canal, David, Charmantier, Anne, Cole, Ella F., Cusimano, Camillo, Doligez, Blandine F., Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Erikstad, Kjell Einar, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juškaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Kålås, John Atle, Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Martínez-Padilla, Jesús, Matthysen, Erik, Oers, Kees van, Orell, Markku, Pinxten, Rianne, Reiertsen, Tone Kristin, Rytkönen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Török, János, Vatka, Emma, Visser, Marcel E., Sæther, Bernt-Erik, Norwegian Research Council, University of Antwerp, Research Foundation - Flanders, Norwegian Environment Agency, Max Planck Society, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Hungarian Academy of Sciences, Ministerio de Ciencia e Innovación (España), Swedish Research Council, Centre National de la Recherche Scientifique (France), National Science Centre (Poland), Observatoire de Recherche Montpelliérain de l'Environnement (France), Russian Science Foundation, Camacho, Carlos [0000-0002-9704-5816], Canal, David [0000-0003-2875-2987], Martínez-Padilla, Jesús [0000-0003-2956-5163], Vriend, Stefan J. G., Grøtan, Vidar, Gamelon, Marlène, Adriaensen, Frank, Ahola, Markus P., Álvarez, Elena, Bailey, Liam D., Barba, Emilio, Bouvier, Jean-Charles, Burgess, Malcolm D., Bushuev, Andrey, Camacho, Carlos, Canal, David, Charmantier, Anne, Cole, Ella F., Cusimano, Camillo, Doligez, Blandine F., Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Eeva, Tapio, Erikstad, Kjell Einar, Ferns, Peter N., Goodenough, Anne E., Hartley, Ian R., Hinsley, Shelley A., Ivankina, Elena, Juškaitis, Rimvydas, Kempenaers, Bart, Kerimov, Anvar B., Kålås, John Atle, Lavigne, Claire, Leivits, Agu, Mainwaring, Mark C., Martínez-Padilla, Jesús, Matthysen, Erik, Oers, Kees van, Orell, Markku, Pinxten, Rianne, Reiertsen, Tone Kristin, Rytkönen, Seppo, Senar, Juan Carlos, Sheldon, Ben C., Sorace, Alberto, Török, János, Vatka, Emma, Visser, Marcel E., and Sæther, Bernt-Erik

Abstract

Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February–May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations.

Published
2023

8. Temperature synchronizes temporal variation in laying dates across European hole‐nesting passerines

Author

Vriend, Stefan J. G., primary, Grøtan, Vidar, additional, Gamelon, Marlène, additional, Adriaensen, Frank, additional, Ahola, Markus P., additional, Álvarez, Elena, additional, Bailey, Liam D., additional, Barba, Emilio, additional, Bouvier, Jean‐Charles, additional, Burgess, Malcolm D., additional, Bushuev, Andrey, additional, Camacho, Carlos, additional, Canal, David, additional, Charmantier, Anne, additional, Cole, Ella F., additional, Cusimano, Camillo, additional, Doligez, Blandine F., additional, Drobniak, Szymon M., additional, Dubiec, Anna, additional, Eens, Marcel, additional, Eeva, Tapio, additional, Erikstad, Kjell Einar, additional, Ferns, Peter N., additional, Goodenough, Anne E., additional, Hartley, Ian R., additional, Hinsley, Shelley A., additional, Ivankina, Elena, additional, Juškaitis, Rimvydas, additional, Kempenaers, Bart, additional, Kerimov, Anvar B., additional, Kålås, John Atle, additional, Lavigne, Claire, additional, Leivits, Agu, additional, Mainwaring, Mark C., additional, Martínez‐Padilla, Jesús, additional, Matthysen, Erik, additional, van Oers, Kees, additional, Orell, Markku, additional, Pinxten, Rianne, additional, Reiertsen, Tone Kristin, additional, Rytkönen, Seppo, additional, Senar, Juan Carlos, additional, Sheldon, Ben C., additional, Sorace, Alberto, additional, Török, János, additional, Vatka, Emma, additional, Visser, Marcel E., additional, and Sæther, Bernt‐Erik, additional

Published
2022
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9. Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines

Author

Vriend, Stefan J. G., Senar, Juan Carlos, Sæther, Bernt-Erik, and Consorci del Museu de Ciències Naturals de Barcelona

Subjects
Mallerenga carbonera, Ocells, Ciència i tecnologia, Mallerenga blava, articles, Passeriformes, Adaptació animal, Nius d'ocells, Evolució (Biologia)
Abstract

Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February–May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations.

Published
2022

10. Connecting the data landscape of longterm ecological studies: The SPIBirds data hub

Author

Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal, Research Council of Norway, Netherlands Organization for Scientific Research, Culina, Antica, Adriaensen, Frank, Bailey, Liam D., Burgess, Malcolm D., Charmantier, Anne, Cole, Ella F., Eeva, Tapio, Matthysen, Erik, Nater, Chloe R., Sheldon, Ben C., Saether, Bernt-Erik, Vriend, Stefan J. G., Zajkova, Zuzana, Adamik, Peter, Aplin, Lucy M., Belda, E.J., Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal, Research Council of Norway, Netherlands Organization for Scientific Research, Culina, Antica, Adriaensen, Frank, Bailey, Liam D., Burgess, Malcolm D., Charmantier, Anne, Cole, Ella F., Eeva, Tapio, Matthysen, Erik, Nater, Chloe R., Sheldon, Ben C., Saether, Bernt-Erik, Vriend, Stefan J. G., Zajkova, Zuzana, Adamik, Peter, Aplin, Lucy M., and Belda, E.J.

Abstract

[EN] The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database ()-a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, CO

Published
2021

11. Connecting the data landscape of long-term ecological studies : The SPI-Birds data hub

Author

Culina, Antica, Adriaensen, Frank, Bailey, Liam D., Burgess, Malcolm D., Charmantier, Anne, Cole, Ella F., Eeva, Tapio, Matthysen, Erik, Nater, Chloe R., Sheldon, Ben C., Saether, Bernt-Erik, Vriend, Stefan J. G., Zajkova, Zuzana, Adamik, Peter, Aplin, Lucy M., Angulo, Elena, Artemyev, Alexandr, Barba, Emilio, Barisic, Sanja, Belda, Eduardo, Bilgin, Cemal Can, Bleu, Josefa, Both, Christiaan, Bouwhuis, Sandra, Branston, Claire J., Broggi, Juli, Burke, Terry, Bushuev, Andrey, Camacho, Carlos, Campobello, Daniela, Canal, David, Cantarero, Alejandro, Caro, Samuel P., Cauchoix, Maxime, Chaine, Alexis, Cichon, Mariusz, Cikovic, Davor, Cusimano, Camillo A., Deimel, Caroline, Dhondt, Andre A., Dingemanse, Niels J., Doligez, Blandine, Dominoni, Davide M., Doutrelant, Claire, Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Erikstad, Kjell Einar, Espin, Silvia, Farine, Damien R., Figuerola, Jordi, Gulbeyaz, Pinar Kavak, Gregoire, Arnaud, Hartley, Ian R., Hau, Michaela, Hegyi, Gergely, Hille, Sabine, Hinde, Camilla A., Holtmann, Benedikt, Ilyina, Tatyana, Isaksson, Caroline, Iserbyt, Arne, Ivankina, Elena, Kania, Wojciech, Kempenaers, Bart, Kerimov, Anvar, Komdeur, Jan, Korsten, Peter, Kral, Miroslav, Krist, Milos, Lambrechts, Marcel, Lara, Carlos E., Leivits, Agu, Liker, Andras, Lodjak, Jaanis, Magi, Marko, Mainwaring, Mark C., Mand, Raivo, Massa, Bruno, Massemin, Sylvie, Martinez-Padilla, Jesus, Mazgajski, Tomasz D., Mennerat, Adele, Moreno, Juan, Mouchet, Alexia, Nakagawa, Shinichi, Nilsson, Jan-Ake, Nilsson, Johan F., Norte, Ana Claudia, van Oers, Kees, Orell, Markku, Potti, Jaime, Quinn, John L., Reale, Denis, Reiertsen, Tone Kristin, Rosivall, Balazs, Russell, Andrew F., Rytkonen, Seppo, Sanchez-Virosta, Pablo, Santos, Eduardo S. A., Schroeder, Julia, Senar, Juan Carlos, Seress, Gabor, Slagsvold, Tore, Szulkin, Marta, Teplitsky, Celine, Tilgar, Vallo, Tolstoguzov, Andrey, Torok, Janos, Valcu, Mihai, Vatka, Emma, Verhulst, Simon, Watson, Hannah, Yuta, Teru, Zamora-Marin, Jose M., Visser, Marcel E., Culina, Antica, Adriaensen, Frank, Bailey, Liam D., Burgess, Malcolm D., Charmantier, Anne, Cole, Ella F., Eeva, Tapio, Matthysen, Erik, Nater, Chloe R., Sheldon, Ben C., Saether, Bernt-Erik, Vriend, Stefan J. G., Zajkova, Zuzana, Adamik, Peter, Aplin, Lucy M., Angulo, Elena, Artemyev, Alexandr, Barba, Emilio, Barisic, Sanja, Belda, Eduardo, Bilgin, Cemal Can, Bleu, Josefa, Both, Christiaan, Bouwhuis, Sandra, Branston, Claire J., Broggi, Juli, Burke, Terry, Bushuev, Andrey, Camacho, Carlos, Campobello, Daniela, Canal, David, Cantarero, Alejandro, Caro, Samuel P., Cauchoix, Maxime, Chaine, Alexis, Cichon, Mariusz, Cikovic, Davor, Cusimano, Camillo A., Deimel, Caroline, Dhondt, Andre A., Dingemanse, Niels J., Doligez, Blandine, Dominoni, Davide M., Doutrelant, Claire, Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Erikstad, Kjell Einar, Espin, Silvia, Farine, Damien R., Figuerola, Jordi, Gulbeyaz, Pinar Kavak, Gregoire, Arnaud, Hartley, Ian R., Hau, Michaela, Hegyi, Gergely, Hille, Sabine, Hinde, Camilla A., Holtmann, Benedikt, Ilyina, Tatyana, Isaksson, Caroline, Iserbyt, Arne, Ivankina, Elena, Kania, Wojciech, Kempenaers, Bart, Kerimov, Anvar, Komdeur, Jan, Korsten, Peter, Kral, Miroslav, Krist, Milos, Lambrechts, Marcel, Lara, Carlos E., Leivits, Agu, Liker, Andras, Lodjak, Jaanis, Magi, Marko, Mainwaring, Mark C., Mand, Raivo, Massa, Bruno, Massemin, Sylvie, Martinez-Padilla, Jesus, Mazgajski, Tomasz D., Mennerat, Adele, Moreno, Juan, Mouchet, Alexia, Nakagawa, Shinichi, Nilsson, Jan-Ake, Nilsson, Johan F., Norte, Ana Claudia, van Oers, Kees, Orell, Markku, Potti, Jaime, Quinn, John L., Reale, Denis, Reiertsen, Tone Kristin, Rosivall, Balazs, Russell, Andrew F., Rytkonen, Seppo, Sanchez-Virosta, Pablo, Santos, Eduardo S. A., Schroeder, Julia, Senar, Juan Carlos, Seress, Gabor, Slagsvold, Tore, Szulkin, Marta, Teplitsky, Celine, Tilgar, Vallo, Tolstoguzov, Andrey, Torok, Janos, Valcu, Mihai, Vatka, Emma, Verhulst, Simon, Watson, Hannah, Yuta, Teru, Zamora-Marin, Jose M., and Visser, Marcel E.

Abstract

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database ()-a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, COMADRE

Published
2021
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12. Density-Dependent Adaptive Topography in a Small Passerine Bird, the Collared Flycatcher

Author

Saether, Bernt-Erik, Engen, Steinar, Gustafsson, Lars, Grotan, Vidar, Vriend, Stefan J. G., Saether, Bernt-Erik, Engen, Steinar, Gustafsson, Lars, Grotan, Vidar, and Vriend, Stefan J. G.

Abstract

Adaptive topography is a central concept in evolutionary biology, describing how the mean fitness of a population changes with gene frequencies or mean phenotypes. We use expected population size as a quantity to be maximized by natural selection to show that selection on pairwise combinations of reproductive traits of collared flycatchers caused by fluctuations in population size generated an adaptive topography with distinct peaks often located at intermediate phenotypes. This occurred because r- and K-selection made phenotypes favored at small densities different from those with higher fitness at population sizes close to the carrying capacity K. Fitness decreased rapidly with a delay in the timing of egg laying, with a density-dependent effect especially occurring among early-laying females. The number of fledglings maximizing fitness was larger at small population sizes than when close to K. Finally, there was directional selection for large fledglings independent of population size. We suggest that these patterns can be explained by increased competition for some limiting resources or access to favorable nest sites at high population densities. Thus, r- and K-selection based on expected population size as an evolutionary maximization criterion may influence life-history evolution and constrain the selective responses to changes in the environment.

Published
2021
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13. Efficient use of demographic data: integrated population models

Author

Gamelon, Marlène, Vriend, Stefan J. G., Visser, Marcel E., Hallmann, Caspar A., Lommen, Suzanne T. E., Jongejans, Eelke, Gamelon, Marlène, Vriend, Stefan J. G., Visser, Marcel E., Hallmann, Caspar A., Lommen, Suzanne T. E., and Jongejans, Eelke

Abstract

Various types of demographic data can be collected in the field: population censuses, capture–mark–recapture data, and so on. These data sources share common demographic information about the studied population. Bayesian integrated population models (IPM) make efficient use of these different types of demographic data by jointly analysing them. This chapter discusses the advantages and the possibilities offered by this integrated approach. It describes the different steps required to build an IPM and illustrates the usefulness of this approach using two case studies. The first case study is a short-lived bird species, the blue tit, taking advantage of different data sources collected in a Dutch population to highlight how an integrated analysis might help to obtain a comprehensive picture of its dynamics. This IPM also assesses whether and how beech crop size might influence vital rates. The second case study is an invasive plant species, the common ragweed. The chapter illustrates how seedling data, plant data, and seed bank data could be analysed simultaneously to estimate key vital rates such as the probability that a seedling survives up to flowering.

Published
2021

15. Connecting the data landscape of long‐term ecological studies: The SPI‐Birds data hub

Author

Culina, Antica, primary, Adriaensen, Frank, additional, Bailey, Liam D., additional, Burgess, Malcolm D., additional, Charmantier, Anne, additional, Cole, Ella F., additional, Eeva, Tapio, additional, Matthysen, Erik, additional, Nater, Chloé R., additional, Sheldon, Ben C., additional, Sæther, Bernt‐Erik, additional, Vriend, Stefan J. G., additional, Zajkova, Zuzana, additional, Adamík, Peter, additional, Aplin, Lucy M., additional, Angulo, Elena, additional, Artemyev, Alexandr, additional, Barba, Emilio, additional, Barišić, Sanja, additional, Belda, Eduardo, additional, Bilgin, Cemal Can, additional, Bleu, Josefa, additional, Both, Christiaan, additional, Bouwhuis, Sandra, additional, Branston, Claire J., additional, Broggi, Juli, additional, Burke, Terry, additional, Bushuev, Andrey, additional, Camacho, Carlos, additional, Campobello, Daniela, additional, Canal, David, additional, Cantarero, Alejandro, additional, Caro, Samuel P., additional, Cauchoix, Maxime, additional, Chaine, Alexis, additional, Cichoń, Mariusz, additional, Ćiković, Davor, additional, Cusimano, Camillo A., additional, Deimel, Caroline, additional, Dhondt, André A., additional, Dingemanse, Niels J., additional, Doligez, Blandine, additional, Dominoni, Davide M., additional, Doutrelant, Claire, additional, Drobniak, Szymon M., additional, Dubiec, Anna, additional, Eens, Marcel, additional, Einar Erikstad, Kjell, additional, Espín, Silvia, additional, Farine, Damien R., additional, Figuerola, Jordi, additional, Kavak Gülbeyaz, Pınar, additional, Grégoire, Arnaud, additional, Hartley, Ian R., additional, Hau, Michaela, additional, Hegyi, Gergely, additional, Hille, Sabine, additional, Hinde, Camilla A., additional, Holtmann, Benedikt, additional, Ilyina, Tatyana, additional, Isaksson, Caroline, additional, Iserbyt, Arne, additional, Ivankina, Elena, additional, Kania, Wojciech, additional, Kempenaers, Bart, additional, Kerimov, Anvar, additional, Komdeur, Jan, additional, Korsten, Peter, additional, Král, Miroslav, additional, Krist, Miloš, additional, Lambrechts, Marcel, additional, Lara, Carlos E., additional, Leivits, Agu, additional, Liker, András, additional, Lodjak, Jaanis, additional, Mägi, Marko, additional, Mainwaring, Mark C., additional, Mänd, Raivo, additional, Massa, Bruno, additional, Massemin, Sylvie, additional, Martínez‐Padilla, Jesús, additional, Mazgajski, Tomasz D., additional, Mennerat, Adèle, additional, Moreno, Juan, additional, Mouchet, Alexia, additional, Nakagawa, Shinichi, additional, Nilsson, Jan‐Åke, additional, Nilsson, Johan F., additional, Cláudia Norte, Ana, additional, van Oers, Kees, additional, Orell, Markku, additional, Potti, Jaime, additional, Quinn, John L., additional, Réale, Denis, additional, Kristin Reiertsen, Tone, additional, Rosivall, Balázs, additional, Russell, Andrew F, additional, Rytkönen, Seppo, additional, Sánchez‐Virosta, Pablo, additional, Santos, Eduardo S. A., additional, Schroeder, Julia, additional, Senar, Juan Carlos, additional, Seress, Gábor, additional, Slagsvold, Tore, additional, Szulkin, Marta, additional, Teplitsky, Céline, additional, Tilgar, Vallo, additional, Tolstoguzov, Andrey, additional, Török, János, additional, Valcu, Mihai, additional, Vatka, Emma, additional, Verhulst, Simon, additional, Watson, Hannah, additional, Yuta, Teru, additional, Zamora‐Marín, José M., additional, and Visser, Marcel E., additional

Published
2020
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19. Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines.

Author

Vriend SJG, Grøtan V, Gamelon M, Adriaensen F, Ahola MP, Álvarez E, Bailey LD, Barba E, Bouvier JC, Burgess MD, Bushuev A, Camacho C, Canal D, Charmantier A, Cole EF, Cusimano C, Doligez BF, Drobniak SM, Dubiec A, Eens M, Eeva T, Erikstad KE, Ferns PN, Goodenough AE, Hartley IR, Hinsley SA, Ivankina E, Juškaitis R, Kempenaers B, Kerimov AB, Kålås JA, Lavigne C, Leivits A, Mainwaring MC, Martínez-Padilla J, Matthysen E, van Oers K, Orell M, Pinxten R, Reiertsen TK, Rytkönen S, Senar JC, Sheldon BC, Sorace A, Török J, Vatka E, Visser ME, and Saether BE

Subjects
Animals, Temperature, Seasons, Reproduction, Passeriformes, Songbirds
Abstract

Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February-May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations., (© 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)

Published
2023
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20. Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub.

Author

Culina A, Adriaensen F, Bailey LD, Burgess MD, Charmantier A, Cole EF, Eeva T, Matthysen E, Nater CR, Sheldon BC, Saether BE, Vriend SJG, Zajkova Z, Adamík P, Aplin LM, Angulo E, Artemyev A, Barba E, Barišić S, Belda E, Bilgin CC, Bleu J, Both C, Bouwhuis S, Branston CJ, Broggi J, Burke T, Bushuev A, Camacho C, Campobello D, Canal D, Cantarero A, Caro SP, Cauchoix M, Chaine A, Cichoń M, Ćiković D, Cusimano CA, Deimel C, Dhondt AA, Dingemanse NJ, Doligez B, Dominoni DM, Doutrelant C, Drobniak SM, Dubiec A, Eens M, Einar Erikstad K, Espín S, Farine DR, Figuerola J, Kavak Gülbeyaz P, Grégoire A, Hartley IR, Hau M, Hegyi G, Hille S, Hinde CA, Holtmann B, Ilyina T, Isaksson C, Iserbyt A, Ivankina E, Kania W, Kempenaers B, Kerimov A, Komdeur J, Korsten P, Král M, Krist M, Lambrechts M, Lara CE, Leivits A, Liker A, Lodjak J, Mägi M, Mainwaring MC, Mänd R, Massa B, Massemin S, Martínez-Padilla J, Mazgajski TD, Mennerat A, Moreno J, Mouchet A, Nakagawa S, Nilsson JÅ, Nilsson JF, Cláudia Norte A, van Oers K, Orell M, Potti J, Quinn JL, Réale D, Kristin Reiertsen T, Rosivall B, Russell AF, Rytkönen S, Sánchez-Virosta P, Santos ESA, Schroeder J, Senar JC, Seress G, Slagsvold T, Szulkin M, Teplitsky C, Tilgar V, Tolstoguzov A, Török J, Valcu M, Vatka E, Verhulst S, Watson H, Yuta T, Zamora-Marín JM, and Visser ME

Subjects
Animals, Databases, Factual, Birds, Metadata
Abstract

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database (www.spibirds.org)-a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, COMADRE for animal demography, etc.) will aid much-needed large-scale ecological data integration., (© 2020 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.)

Published
2021
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