Search

Your search keyword '"Cole, Ella F."' showing total 10 results
Start Over Author "Cole, Ella F." Publisher norwegian univ sci & technol, ctr biodivers dynam, dept biol, trondheim, norway.
10 results on '"Cole, Ella F."'

1. 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
Full Text
View/download PDF

2. 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
Full Text
View/download PDF

3. 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
Full Text
View/download PDF

4. 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
Full Text
View/download PDF

5. 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
Full Text
View/download PDF

6. 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
Full Text
View/download PDF

7. 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
Full Text
View/download PDF

8. 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
Full Text
View/download PDF

9. 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
Full Text
View/download PDF

10. 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
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results