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Your search keyword '"Liker, Andras"' showing total 23 results
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23 results on '"Liker, Andras"'

1. Complexity of avian evolution revealed by family-level genomes

Author

Stiller, Josefin, Feng, Shaohong, Chowdhury, Al-Aabid, Rivas-González, Iker, Duchêne, David A., Fang, Qi, Deng, Yuan, Kozlov, Alexey, Stamatakis, Alexandros, Claramunt, Santiago, Nguyen, Jacqueline M. T., Ho, Simon Y. W., Faircloth, Brant C., Haag, Julia, Houde, Peter, Cracraft, Joel, Balaban, Metin, Mai, Uyen, Chen, Guangji, Gao, Rongsheng, Zhou, Chengran, Xie, Yulong, Huang, Zijian, Cao, Zhen, Yan, Zhi, Ogilvie, Huw A., Nakhleh, Luay, Lindow, Bent, Morel, Benoit, Fjeldså, Jon, Hosner, Peter A., da Fonseca, Rute R., Petersen, Bent, Tobias, Joseph A., Székely, Tamás, Kennedy, Jonathan David, Reeve, Andrew Hart, Liker, Andras, Stervander, Martin, Antunes, Agostinho, Tietze, Dieter Thomas, Bertelsen, Mads F., Lei, Fumin, Rahbek, Carsten, Graves, Gary R., Schierup, Mikkel H., Warnow, Tandy, Braun, Edward L., Gilbert, M. Thomas P., Jarvis, Erich D., Mirarab, Siavash, and Zhang, Guojie

Published
2024
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15. Supporting information for ' Meta-analysis challenges a textbook example of status signalling and demonstrates publication bias'

Author

Sánchez-Tójar, Alfredo, Nakagawa, Shinichi, Sánchez-Fortún, Moisès, Martin, Dominic, Ramani, Sukanya, Girndt, Antje, Bókony, Veronika, Kempenaers, Bart, Liker, Andras, Westneat, David, Burke, Terry, and Schroeder, Julia

Subjects
dominance hierarchy, meta-analysis, publication bias, replication, aniDom, sparrows, evolutionary ecology, open science, meta-analytic, behavioural ecology, MCMCglmm, status signalling
Abstract

This projects uses a meta-analytic approach to test the status signalling hypothesis in house sparrows.

Published
2022
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16. Evolution of Social Organization: Phylogenetic Analyses of Ecology and Sexual Selection in Weavers

Author

Liker, Andras, Song, Zitan, Székely, Tamás, and Liu, Yang

Subjects
Sexual Behavior, Animal, Sexual Selection, Ecology, bepress|Social and Behavioral Sciences, Animals, Passeriformes, bepress|Social and Behavioral Sciences|Animal Studies, Ecology, Evolution, Behavior and Systematics, Phylogeny
Abstract

Crook published a landmark study on the social organization of weavers (or weaverbirds, family Ploceidae) that contributed to the emergence of sociobiology, behavioral ecology, and phylogenetic comparative methods. By comparing ecology, spatial distribution, and mating systems, Crook suggested that the spatial distribution of food resources and breeding habitats influence weaver aggregation during both the nonbreeding season (flocking vs. solitary foraging) and the breeding season (colonial vs. solitary breeding), and the latter in turn impacts mating systems and sexual selection. Although Crook's study stimulated much follow-up research, his conclusions have not been scrutinized using phylogenetically controlled analyses. We revisited Crook's hypotheses using modern phylogenetic comparative methods on an extended data set of 107 weaver species. We showed that both diet and habitat type are associated with spatial distribution and that the latter predicts mating system, consistent with Crook's propositions. The best-supported phylogenetic path model also supported Crook's arguments and uncovered a direct relationship between nonbreeding distribution and mating system. Taken together, our phylogenetically corrected analyses confirm Crook's conjectures on the roles of ecology in social organizations of weavers; however, our analyses also uncovered an association between nonbreeding distributions and mating systems, which was not envisaged by Crook.

Published
2022

17. The genetic sex-determination system predicts adult sex ratios in tetrapods

Author

Pipoly, Ivett, Bokony, Veronika, Kirkpatrick, Mark, Donald, Paul F., Szekely, Tamas, and Liker, Andras

Subjects
Animal populations -- Genetic aspects -- Distribution, Sex ratio -- Genetic aspects, Company distribution practices, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

The adult sex ratio (ASR) has critical effects on behaviour, ecology and population dynamics (1,2), but the causes of variation in ASRs are unclear (3,4). Here we assess whether the [...]

Published
2015

21. 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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22. Connected data landscape of long-term ecological studies: the SPI-Birds data hub

Author

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

Subjects
bepress|Life Sciences, bepress|Life Sciences|Ecology and Evolutionary Biology
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. Further, 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-terms 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 a year of the establishment, SPI-Birds counts 120 members working on more than 80 populations, with data concerning breeding attempts of almost a million individual birds over a 1700 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 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.

Published
2020

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