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

Author

Culina, Antica, Adriaensen, Frank, Bailey, Liam, Burgess, Malcolm, Charmantier, Anne, Cole, Ella, Eeva, Tapio, Matthysen, Erik, Nater, Chloé, Sheldon, Ben, Sæther, Bernt‐erik, Vriend, Stefan J.G., Zajkova, Zuzana, Adamík, Peter, Aplin, Lucy, Angulo, Elena, Artemyev, Alexandr, Barba, Emilio, Barišić, Sanja, Belda, Eduardo, Can Bilgin, C., Bleu, Josefa, Both, Christiaan, Bouwhuis, Sandra, Branston, Claire, Broggi, Juli, Burke, Terry, Bushuev, Andrey, Camacho, Carlos, Campobello, Daniela, Canal, David, Cantarero, Alejandro, Caro, Samuel, Cauchoix, Maxime, Chaine, Alexis, Cichoń, Mariusz, Ćiković, Davor, Cusimano, Camillo, Deimel, Caroline, Dhondt, André, Dingemanse, Niels, Doligez, Blandine, Dominoni, Davide, Doutrelant, Claire, Drobniak, Szymon, Dubiec, Anna, Eens, Marcel, Erikstad, Kjell Einar, Espín, Silvia, Farine, Damien, Figuerola, Jordi, Kavak Gülbeyaz, Pinar, Grégoire, Arnaud, Hartley, Ian, Hau, Michaela, Hegyi, Gergely, Hille, Sabine, Hinde, Camilla, Holtmann, Benedikt, Ilyina, Tatyana, Isaksson, Caroline, Iserbyt, Arne, Ivankina, Elena, Kania, Wojciech, Kempenaers, Bart, Kerimov, Anvar, Komdeur, Jan, Korsten, Peter, Král, Miroslav, Krist, Miloš, Lambrechts, Marcel, Lara, Carlos, Leivits, Agu, Liker, András, Lodjak, Jaanis, Mägi, Marko, Mainwaring, Mark, Mänd, Raivo, Massa, Bruno, Massemin, Sylvie, Martínez‐padilla, Jesús, Mazgajski, Tomasz, Mennerat, Adele, Moreno, Juan, Mouchet, Alexia, Nakagawa, Shinichi, Nilsson, Jan‐åke, Nilsson, Johan, Norte, Ana Cláudia, Oers, Kees Van, Orell, Markku, Potti, Jaime, Quinn, John, Réale, Denis, Reiertsen, Tone Kristin, Rosivall, Balázs, Russel, Andrew, Rytkönen, Seppo, Sánchez‐virosta, Pablo, Santos, Eduardo S.A., Schroeder, Julia, Senar, Juan Carlos, Seress, Gábor, Slagsvold, Tore, Szulkin, Marta, Teplitsky, Céline, Tilgar, Vallo, Tolstoguzov, Andrey, Török, János, Valcu, Mihai, Vatka, Emma, Verhulst, Simon, Visser, Marcel, Watson, Hannah, Yuta, Teru, Zamora‐marín, José, Netherlands Institute of Ecology - NIOO-KNAW (NETHERLANDS), University of Antwerp (UA), Leibniz Institute for Zoo and Wildlife Research (IZW), Leibniz Association, University of Exeter, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), University of Oxford, University of Turku, Trondheim University, Département Ecologie, Physiologie et Ethologie (DEPE-IPHC), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)

Subjects
FAIR data, long-term studies, MESH: animals, meta-data standards, research network, birds, MESH: birds, [SDE]Environmental Sciences, MESH: databases, factual, MESH: metadata, data standards, database
Abstract

International audience; 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.

Published
2021

11. Reed Warbler Hosts Do Not Fine-Tune Mobbing Defenses During the Breeding Season, Even When Cuckoos Are Rare

Author

Tolman, Deryk, Campobello, Daniela, Rönkä, Katja, Kluen, Edward, Thorogood, Rose, Helsinki Institute of Life Science HiLIFE, Organismal and Evolutionary Biology Research Programme, and Evolution, Sociality & Behaviour

Subjects
NEST DEFENSE, RISK, PERSONALITY, parental investment, FLEXIBILITY, RECOGNITION, FITNESS CONSEQUENCES, seasonal change, avian brood parasitism, 1181 Ecology, evolutionary biology, SURVIVAL, re-nesting potential, HAWK MIMICRY, frontline defense, ACROCEPHALUS-SCIRPACEUS, BEHAVIOR
Abstract

Hosts of brood parasitic cuckoos often employ mobbing attacks to defend their nests and, when mobbing is costly, hosts are predicted to adjust their mobbing to match parasitism risk. While evidence exists for fine-tuned plasticity, it remains unclear why mobbing does not track larger seasonal changes in parasitism risk. Here we test a possible explanation from parental investment theory: parents should defend their current brood more intensively as the opportunity to replace it declines (re-nesting potential), and therefore "counteract" any apparent seasonal decline to match parasitism risk. We take advantage of mobbing experiments conducted at two sites where reed warblers (Acrocephalus scirpaceus) experience (in Italy), or do not experience (in Finland), brood parasitism. We predicted that mobbing of cuckoos should be higher overall in Italy, but remain constant over the season as in other parasitised sites, whereas in Finland where cuckoos do not pose a local threat, we predicted that mobbing should be low at the beginning of the season but increase as re-nesting potential declined. However, while cuckoos were more likely to be mobbed in Italy, we found little evidence that mobbing changed over the season at either the parasitized or non-parasitized sites. This suggests that re-nesting potential has either little influence on mobbing behavior, or that its effects are obscured by other seasonal differences in ecology or experience of hosts.

Published
2021

17. 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

18. 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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23. Avian brood parasitism in Italy: another perspective.

Author

CAMPOBELLO, DANIELA and SEALY, SPENCER G.

Subjects
*CUCKOOS, *COEVOLUTION, *META-analysis, *BIRD nests
Abstract

We present a quantitative analysis ofthe data reported ic the only published review of parasitism frequency on hosts of Common Cuckoo cictüKî caaonir in a Medftenanean area We first eliminated a bias potentially introduced by the method by which data were recorded Of the minai potential "0 species parasitized in Italy, only 44 were confirmed as host species, of which only 10 species had more than 10% of their total nests parasitized We highlighted differential parasitism on host species according to geographic area, hot the analysis suggested results were strongly biased because nest Location was generally not reported and the number of records steeply decreased from North to South. [ABSTRACT FROM AUTHOR]

Published
2020
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27. Habitat- and density-dependent demography of a colonial raptor in Mediterranean agro-ecosystems

Author

Ministero dell'Istruzione, dell'Università e della Ricerca, Di Maggio, Rosanna, Campobello, Daniela, Tavecchia, Giacomo, Sarà, Maurizio, Ministero dell'Istruzione, dell'Università e della Ricerca, Di Maggio, Rosanna, Campobello, Daniela, Tavecchia, Giacomo, and Sarà, Maurizio

Abstract

Agricultural intensification is considered the major cause of decline in farmland bird populations, especially in the Mediterranean region. Food shortage increased by the interaction between agricultural intensification and density-dependent mechanisms could influence the population dynamics of colonial birds.Weused demographic data on lesser kestrels (Falco naumanni), a key species of Mediterranean pseudo-steppes, to understand the importance of land-use changes and density-dependent mechanisms in the light of its fluctuating conservation status in the Western Palearctic. Our analysis indicated an important influence of land uses (artichokes, arable and grassland fields) and colony size on kestrel survival rates. The strong habitat effect revealed the unsuitability of intensive arable lands with respect to extensive grasslands for lesser kestrels. Notably, artichokes, a winterintensive crop, proved to be a high-quality habitat as they were associated with survival values equal to those of grassland. This is likely due to prey availability and reveals that non-traditional crops may provide suitable habitats for lesser kestrels. Information theory gave strong support to the negative influence of colony size on fecundity, albeit a small one, for its positive effect on survival probability. The estimated population growth rate was negative for all three habitats, indicating a decline over time and urging conservation actions in all of the areas studied. This decline was much higher in colonies surrounded by arable fields. In sensitivity analyses, ? indicated that adult survivalwas the parameterwith the greatest effect on population growth, followed by survival of fledglings and fecundity. Our study showed howthe costs and benefits of group living interact with agricultural intensification to drive species demography. In addition, we integrated significant information on one of the largest lesser kestrel populations to fine tune the most effective conservation strategy

Published
2016

28. Social phenotype extended to communities: expanded multilevel social selection analysis reveals fitness consequences of interspecific interactions

Author

CAMPOBELLO, Daniela, James F. Hare, SARA', Maurizio, Daniela Campobello, James F. Hare, and Maurizio Sara'

Subjects
Phenotype, Reproduction, Settore BIO/05 - Zoologia, Animals, Coevolution, coloniality, extended phenotype, lesser kestrel, jackdaw, social selection, Genetic Fitness, Passeriformes, Selection, Genetic, Social Behavior, Falconiformes, Nesting Behavior
Abstract

In social species, fitness consequences are associated with both individual and social phenotypes. Social selection analysis has quantified the contribution of conspecific social traits to individual fitness. There has been no attempt, however, to apply a social selection approach to quantify the fitness implications of heterospecific social phenotypes. Here, we propose a novel social selection based approach integrating the role of all social interactions at the community level. We extended multilevel selection analysis by including a term accounting for the group phenotype of heterospecifics. We analyzed nest activity as a model social trait common to two species, the lesser kestrel (Falco naumanni) and jackdaw (Corvus monedula), nesting in either single- or mixed-species colonies. By recording reproductive outcome as a measure of relative fitness, our results reveal an asymmetric system wherein only jackdaw breeding performance was affected by the activity phenotypes of both conspecific and heterospecific neighbors. Our model incorporating heterospecific social phenotypes is applicable to animal communities where interacting species share a common social trait, thus allowing an assessment of the selection pressure imposed by interspecific interactions in nature. Finally, we discuss the potential role of ecological limitations accounting for random or preferential assortments among interspecific social phenotypes, and the implications of such processes to community evolution.

Published
2014

40. Enemy recognition of Reed Warblers (Acrocephalus scirpaceus): threats and reproductive value act independently in nest defence modulation

Author

CAMPOBELLO, Daniela, Sealy, GS, Campobello, D, and Sealy, GS

Subjects
Brood parasitism, enemy recognition, defence, reproduction, Settore BIO/05 - Zoologia
Abstract

Organisms should respond more aggressively towards species perceived as a danger to their offspring, but intensity of defence may be gauged by the value of current offspring weighed against the value of future reproductive opportunities. We tested whether defensive responses of nesting reed warblers (Acrocephalus scirpaceus) are the result of an interaction effect between the type of stimulus confronted and the value of the warbler’s nesting attempt. We quantified the ability of reed warblers to discriminate among brood parasites, nestling predators and non-threatening species at different stages of the breeding cycle. We also determined whether variables that influence the value of offspring, such as time of season, size and age of clutch or brood, and time of day and number of visits to the nest, explain variation in the intensity of defence recorded during the egg and nestling stages. Responses to the three stimuli differed significantly, as reed warblers consistently directed their mobbing calls and attacks towards parasites, whereas they were less conspicuous when confronted with models of predators. Reed warblers modulated their responses towards each stimulus in accordance with the threat each posed at a specific nesting stage, whereas they were not affected by other variables relative to their reproductive potential. The churr call, however, was uttered independently of the stimulus, as it was triggered by the mere presence of nestlings in the nest.

Published
2010

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