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7 results on '"Tolstoguzov, Andrey"'

1. Avifauna of the Botanic Garden of Petrozavodsk State University

Author

Tolstoguzov Andrey Olegovich, Artemyev Aleksandr Vladimirovich, and Prokhorov Alexey Anatolievich

Subjects
орнитология, локальная орнитофауна, ботанические сады, экологическое просвещение, Botany, QK1-989
Abstract

The history of the study of the species composition of birds in the vicinity of the city of Petrozavodsk is described. The first results of studies of hollow-nesting birds using the method of observation of artificial nesting sites in the territory of the Botanic Garden of PetrSU are presented. A list of species has been compiled indicating the nature of the stay of birds on the territory of the Botanical Garden according to observations in 2015-2022. The goals of ornithological research of the summer field practice of students of the Institute of Biology, Ecology and Agrotechnologies of PetrSU are described. The activities of the Botanic Garden to popularize ornithological knowledge are shown.

Published
2022
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2. Zoological researches in Botanical Garden of PetrSU

Author

Platonova Elena Anatolyevna, Tolstoguzov Andrey Olegovich, Lyabzina Svetlana Nikolaevna, and Sushchuk Anna Alekseevna

Subjects
ботанический сад, зоологические исследования, охрана экосистем, Botany, QK1-989
Abstract

In recent years, the Botanical Garden of Petrozavodsk State University has been paying great attention to zoological research. To date, there have been data on the nesting of some species of birds for 4 years, the study of the fauna of reservoirs, the studies of the necrophilous fauna, the registration of quarantine insects, the study of communities of soil nematodes are carried out annually.

Published
2018
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4. 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

5. 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

6. 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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7. 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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