TY - JOUR A1 - Mantzouki, Evanthia A1 - Lurling, Miquel A1 - Fastner, Jutta A1 - Domis, Lisette Nicole de Senerpont A1 - Wilk-Wozniak, Elzbieta A1 - Koreiviene, Judita A1 - Seelen, Laura A1 - Teurlincx, Sven A1 - Verstijnen, Yvon A1 - Krzton, Wojciech A1 - Walusiak, Edward A1 - Karosiene, Jurate A1 - Kasperoviciene, Jurate A1 - Savadova, Ksenija A1 - Vitonyte, Irma A1 - Cillero-Castro, Carmen A1 - Budzynska, Agnieszka A1 - Goldyn, Ryszard A1 - Kozak, Anna A1 - Rosinska, Joanna A1 - Szelag-Wasielewska, Elzbieta A1 - Domek, Piotr A1 - Jakubowska-Krepska, Natalia A1 - Kwasizur, Kinga A1 - Messyasz, Beata A1 - Pelechata, Aleksandra A1 - Pelechaty, Mariusz A1 - Kokocinski, Mikolaj A1 - Garcia-Murcia, Ana A1 - Real, Monserrat A1 - Romans, Elvira A1 - Noguero-Ribes, Jordi A1 - Parreno Duque, David A1 - Fernandez-Moran, Elisabeth A1 - Karakaya, Nusret A1 - Haggqvist, Kerstin A1 - Demir, Nilsun A1 - Beklioglu, Meryem A1 - Filiz, Nur A1 - Levi, Eti E. A1 - Iskin, Ugur A1 - Bezirci, Gizem A1 - Tavsanoglu, Ulku Nihan A1 - Ozhan, Koray A1 - Gkelis, Spyros A1 - Panou, Manthos A1 - Fakioglu, Ozden A1 - Avagianos, Christos A1 - Kaloudis, Triantafyllos A1 - Celik, Kemal A1 - Yilmaz, Mete A1 - Marce, Rafael A1 - Catalan, Nuria A1 - Bravo, Andrea G. A1 - Buck, Moritz A1 - Colom-Montero, William A1 - Mustonen, Kristiina A1 - Pierson, Don A1 - Yang, Yang A1 - Raposeiro, Pedro M. A1 - Goncalves, Vitor A1 - Antoniou, Maria G. A1 - Tsiarta, Nikoletta A1 - McCarthy, Valerie A1 - Perello, Victor C. A1 - Feldmann, Tonu A1 - Laas, Alo A1 - Panksep, Kristel A1 - Tuvikene, Lea A1 - Gagala, Ilona A1 - Mankiewicz-Boczek, Joana A1 - Yagci, Meral Apaydin A1 - Cinar, Sakir A1 - Capkin, Kadir A1 - Yagci, Abdulkadir A1 - Cesur, Mehmet A1 - Bilgin, Fuat A1 - Bulut, Cafer A1 - Uysal, Rahmi A1 - Obertegger, Ulrike A1 - Boscaini, Adriano A1 - Flaim, Giovanna A1 - Salmaso, Nico A1 - Cerasino, Leonardo A1 - Richardson, Jessica A1 - Visser, Petra M. A1 - Verspagen, Jolanda M. H. A1 - Karan, Tunay A1 - Soylu, Elif Neyran A1 - Maraslioglu, Faruk A1 - Napiorkowska-Krzebietke, Agnieszka A1 - Ochocka, Agnieszka A1 - Pasztaleniec, Agnieszka A1 - Antao-Geraldes, Ana M. A1 - Vasconcelos, Vitor A1 - Morais, Joao A1 - Vale, Micaela A1 - Koker, Latife A1 - Akcaalan, Reyhan A1 - Albay, Meric A1 - Maronic, Dubravka Spoljaric A1 - Stevic, Filip A1 - Pfeiffer, Tanja Zuna A1 - Fonvielle, Jeremy Andre A1 - Straile, Dietmar A1 - Rothhaupt, Karl-Otto A1 - Hansson, Lars-Anders A1 - Urrutia-Cordero, Pablo A1 - Blaha, Ludek A1 - Geris, Rodan A1 - Frankova, Marketa A1 - Kocer, Mehmet Ali Turan A1 - Alp, Mehmet Tahir A1 - Remec-Rekar, Spela A1 - Elersek, Tina A1 - Triantis, Theodoros A1 - Zervou, Sevasti-Kiriaki A1 - Hiskia, Anastasia A1 - Haande, Sigrid A1 - Skjelbred, Birger A1 - Madrecka, Beata A1 - Nemova, Hana A1 - Drastichova, Iveta A1 - Chomova, Lucia A1 - Edwards, Christine A1 - Sevindik, Tugba Ongun A1 - Tunca, Hatice A1 - OEnem, Burcin A1 - Aleksovski, Boris A1 - Krstic, Svetislav A1 - Vucelic, Itana Bokan A1 - Nawrocka, Lidia A1 - Salmi, Pauliina A1 - Machado-Vieira, Danielle A1 - de Oliveira, Alinne Gurjao A1 - Delgado-Martin, Jordi A1 - Garcia, David A1 - Cereijo, Jose Luis A1 - Goma, Joan A1 - Trapote, Mari Carmen A1 - Vegas-Vilarrubia, Teresa A1 - Obrador, Biel A1 - Grabowska, Magdalena A1 - Karpowicz, Maciej A1 - Chmura, Damian A1 - Ubeda, Barbara A1 - Angel Galvez, Jose A1 - Ozen, Arda A1 - Christoffersen, Kirsten Seestern A1 - Warming, Trine Perlt A1 - Kobos, Justyna A1 - Mazur-Marzec, Hanna A1 - Perez-Martinez, Carmen A1 - Ramos-Rodriguez, Eloisa A1 - Arvola, Lauri A1 - Alcaraz-Parraga, Pablo A1 - Toporowska, Magdalena A1 - Pawlik-Skowronska, Barbara A1 - Niedzwiecki, Michal A1 - Peczula, Wojciech A1 - Leira, Manel A1 - Hernandez, Armand A1 - Moreno-Ostos, Enrique A1 - Maria Blanco, Jose A1 - Rodriguez, Valeriano A1 - Juan Montes-Perez, Jorge A1 - Palomino, Roberto L. A1 - Rodriguez-Perez, Estela A1 - Carballeira, Rafael A1 - Camacho, Antonio A1 - Picazo, Antonio A1 - Rochera, Carlos A1 - Santamans, Anna C. A1 - Ferriol, Carmen A1 - Romo, Susana A1 - Miguel Soria, Juan A1 - Dunalska, Julita A1 - Sienska, Justyna A1 - Szymanski, Daniel A1 - Kruk, Marek A1 - Kostrzewska-Szlakowska, Iwona A1 - Jasser, Iwona A1 - Zutinic, Petar A1 - Udovic, Marija Gligora A1 - Plenkovic-Moraj, Andelka A1 - Frak, Magdalena A1 - Bankowska-Sobczak, Agnieszka A1 - Wasilewicz, Michal A1 - Ozkan, Korhan A1 - Maliaka, Valentini A1 - Kangro, Kersti A1 - Grossart, Hans-Peter A1 - Paerl, Hans W. A1 - Carey, Cayelan C. A1 - Ibelings, Bas W. T1 - Temperature effects explain continental scale distribution of cyanobacterial toxins JF - Toxins N2 - Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains. KW - microcystin KW - anatoxin KW - cylindrospermopsin KW - temperature KW - direct effects KW - indirect effects KW - spatial distribution KW - European Multi Lake Survey Y1 - 2018 U6 - https://doi.org/10.3390/toxins10040156 SN - 2072-6651 VL - 10 IS - 4 PB - MDPI CY - Basel ER - TY - GEN A1 - Mantzouki, Evanthia A1 - Lürling, Miquel A1 - Fastner, Jutta A1 - Domis, Lisette Nicole de Senerpont A1 - Wilk-Woźniak, Elżbieta A1 - Koreiviene, Judita A1 - Seelen, Laura A1 - Teurlincx, Sven A1 - Verstijnen, Yvon A1 - Krztoń, Wojciech A1 - Walusiak, Edward A1 - Karosienė, Jūratė A1 - Kasperovičienė, Jūratė A1 - Savadova, Ksenija A1 - Vitonytė, Irma A1 - Cillero-Castro, Carmen A1 - Budzyńska, Agnieszka A1 - Goldyn, Ryszard A1 - Kozak, Anna A1 - Rosińska, Joanna A1 - Szeląg-Wasielewska, Elżbieta A1 - Domek, Piotr A1 - Jakubowska-Krepska, Natalia A1 - Kwasizur, Kinga A1 - Messyasz, Beata A1 - Pełechata, Aleksandra A1 - Pełechaty, Mariusz A1 - Kokocinski, Mikolaj A1 - García-Murcia, Ana A1 - Real, Monserrat A1 - Romans, Elvira A1 - Noguero-Ribes, Jordi A1 - Duque, David Parreño A1 - Fernández-Morán, Elísabeth A1 - Karakaya, Nusret A1 - Häggqvist, Kerstin A1 - Beklioğlu, Meryem A1 - Filiz, Nur A1 - Levi, Eti E. A1 - Iskin, Uğur A1 - Bezirci, Gizem A1 - Tavşanoğlu, Ülkü Nihan A1 - Özhan, Koray A1 - Gkelis, Spyros A1 - Panou, Manthos A1 - Fakioglu, Özden A1 - Avagianos, Christos A1 - Kaloudis, Triantafyllos A1 - Çelik, Kemal A1 - Yilmaz, Mete A1 - Marcé, Rafael A1 - Catalán, Nuria A1 - Bravo, Andrea G. A1 - Buck, Moritz A1 - Colom-Montero, William A1 - Mustonen, Kristiina A1 - Pierson, Don A1 - Yang, Yang A1 - Raposeiro, Pedro M. A1 - Gonçalves, Vítor A1 - Antoniou, Maria G. A1 - Tsiarta, Nikoletta A1 - McCarthy, Valerie A1 - Perello, Victor C. A1 - Feldmann, Tõnu A1 - Laas, Alo A1 - Panksep, Kristel A1 - Tuvikene, Lea A1 - Gagala, Ilona A1 - Mankiewicz-Boczek, Joana A1 - Yağcı, Meral Apaydın A1 - Çınar, Şakir A1 - Çapkın, Kadir A1 - Yağcı, Abdulkadir A1 - Cesur, Mehmet A1 - Bilgin, Fuat A1 - Bulut, Cafer A1 - Uysal, Rahmi A1 - Obertegger, Ulrike A1 - Boscaini, Adriano A1 - Flaim, Giovanna A1 - Salmaso, Nico A1 - Cerasino, Leonardo A1 - Richardson, Jessica A1 - Visser, Petra M. A1 - Verspagen, Jolanda M. H. A1 - Karan, Tünay A1 - Soylu, Elif Neyran A1 - Maraşlıoğlu, Faruk A1 - Napiórkowska-Krzebietke, Agnieszka A1 - Ochocka, Agnieszka A1 - Pasztaleniec, Agnieszka A1 - Antão-Geraldes, Ana M. A1 - Vasconcelos, Vitor A1 - Morais, João A1 - Vale, Micaela A1 - Köker, Latife A1 - Akçaalan, Reyhan A1 - Albay, Meriç A1 - Maronić, Dubravka Špoljarić A1 - Stević, Filip A1 - Pfeiffer, Tanja Žuna A1 - Fonvielle, Jeremy Andre A1 - Straile, Dietmar A1 - Rothhaupt, Karl-Otto A1 - Hansson, Lars-Anders A1 - Urrutia-Cordero, Pablo A1 - Bláha, Luděk A1 - Geriš, Rodan A1 - Fránková, Markéta A1 - Koçer, Mehmet Ali Turan A1 - Alp, Mehmet Tahir A1 - Remec-Rekar, Spela A1 - Elersek, Tina A1 - Triantis, Theodoros A1 - Zervou, Sevasti-Kiriaki A1 - Hiskia, Anastasia A1 - Haande, Sigrid A1 - Skjelbred, Birger A1 - Madrecka, Beata A1 - Nemova, Hana A1 - Drastichova, Iveta A1 - Chomova, Lucia A1 - Edwards, Christine A1 - Sevindik, Tuğba Ongun A1 - Tunca, Hatice A1 - Önem, Burçin A1 - Aleksovski, Boris A1 - Krstić, Svetislav A1 - Vucelić, Itana Bokan A1 - Nawrocka, Lidia A1 - Salmi, Pauliina A1 - Machado-Vieira, Danielle A1 - Oliveira, Alinne Gurjão De A1 - Delgado-Martín, Jordi A1 - García, David A1 - Cereijo, Jose Luís A1 - Gomà, Joan A1 - Trapote, Mari Carmen A1 - Vegas-Vilarrúbia, Teresa A1 - Obrador, Biel A1 - Grabowska, Magdalena A1 - Karpowicz, Maciej A1 - Chmura, Damian A1 - Úbeda, Bárbara A1 - Gálvez, José Ángel A1 - Özen, Arda A1 - Christoffersen, Kirsten Seestern A1 - Warming, Trine Perlt A1 - Kobos, Justyna A1 - Mazur-Marzec, Hanna A1 - Pérez-Martínez, Carmen A1 - Ramos-Rodríguez, Eloísa A1 - Arvola, Lauri A1 - Alcaraz-Párraga, Pablo A1 - Toporowska, Magdalena A1 - Pawlik-Skowronska, Barbara A1 - Niedźwiecki, Michał A1 - Pęczuła, Wojciech A1 - Leira, Manel A1 - Hernández, Armand A1 - Moreno-Ostos, Enrique A1 - Blanco, José María A1 - Rodríguez, Valeriano A1 - Montes-Pérez, Jorge Juan A1 - Palomino, Roberto L. A1 - Rodríguez-Pérez, Estela A1 - Carballeira, Rafael A1 - Camacho, Antonio A1 - Picazo, Antonio A1 - Rochera, Carlos A1 - Santamans, Anna C. A1 - Ferriol, Carmen A1 - Romo, Susana A1 - Soria, Juan Miguel A1 - Dunalska, Julita A1 - Sieńska, Justyna A1 - Szymański, Daniel A1 - Kruk, Marek A1 - Kostrzewska-Szlakowska, Iwona A1 - Jasser, Iwona A1 - Žutinić, Petar A1 - Udovič, Marija Gligora A1 - Plenković-Moraj, Anđelka A1 - Frąk, Magdalena A1 - Bańkowska-Sobczak, Agnieszka A1 - Wasilewicz, Michał A1 - Özkan, Korhan A1 - Maliaka, Valentini A1 - Kangro, Kersti A1 - Grossart, Hans-Peter A1 - Paerl, Hans W. A1 - Carey, Cayelan C. A1 - Ibelings, Bas W. T1 - Temperature effects explain continental scale distribution of cyanobacterial toxins T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1105 KW - microcystin KW - anatoxin KW - cylindrospermopsin KW - temperature KW - direct effects KW - indirect effects KW - spatial distribution KW - European Multi Lake Survey Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-427902 SN - 1866-8372 IS - 1105 ER - TY - JOUR A1 - Mantzouki, Evanthia A1 - Campbell, James A1 - van Loon, Emiel A1 - Visser, Petra A1 - Konstantinou, Iosif A1 - Antoniou, Maria A1 - Giuliani, Gregory A1 - Machado-Vieira, Danielle A1 - de Oliveira, Alinne Gurjao A1 - Maronic, Dubravka Spoljaric A1 - Stevic, Filip A1 - Pfeiffer, Tanja Zuna A1 - Vucelic, Itana Bokan A1 - Zutinic, Petar A1 - Udovic, Marija Gligora A1 - Plenkovic-Moraj, Andelka A1 - Tsiarta, Nikoletta A1 - Blaha, Ludek A1 - Geris, Rodan A1 - Frankova, Marketa A1 - Christoffersen, Kirsten Seestern A1 - Warming, Trine Perlt A1 - Feldmann, Tonu A1 - Laas, Alo A1 - Panksep, Kristel A1 - Tuvikene, Lea A1 - Kangro, Kersti A1 - Haggqvist, Kerstin A1 - Salmi, Pauliina A1 - Arvola, Lauri A1 - Fastner, Jutta A1 - Straile, Dietmar A1 - Rothhaupt, Karl-Otto A1 - Fonvielle, Jeremy Andre A1 - Grossart, Hans-Peter A1 - Avagianos, Christos A1 - Kaloudis, Triantafyllos A1 - Triantis, Theodoros A1 - Zervou, Sevasti-Kiriaki A1 - Hiskia, Anastasia A1 - Gkelis, Spyros A1 - Panou, Manthos A1 - McCarthy, Valerie A1 - Perello, Victor C. A1 - Obertegger, Ulrike A1 - Boscaini, Adriano A1 - Flaim, Giovanna A1 - Salmaso, Nico A1 - Cerasino, Leonardo A1 - Koreiviene, Judita A1 - Karosiene, Jurate A1 - Kasperoviciene, Jurate A1 - Savadova, Ksenija A1 - Vitonyte, Irma A1 - Haande, Sigrid A1 - Skjelbred, Birger A1 - Grabowska, Magdalena A1 - Karpowicz, Maciej A1 - Chmura, Damian A1 - Nawrocka, Lidia A1 - Kobos, Justyna A1 - Mazur-Marzec, Hanna A1 - Alcaraz-Parraga, Pablo A1 - Wilk-Wozniak, Elzbieta A1 - Krzton, Wojciech A1 - Walusiak, Edward A1 - Gagala, Ilona A1 - Mankiewicz-Boczek, Joana A1 - Toporowska, Magdalena A1 - Pawlik-Skowronska, Barbara A1 - Niedzwiecki, Michal A1 - Peczula, Wojciech A1 - Napiorkowska-Krzebietke, Agnieszka A1 - Dunalska, Julita A1 - Sienska, Justyna A1 - Szymanski, Daniel A1 - Kruk, Marek A1 - Budzynska, Agnieszka A1 - Goldyn, Ryszard A1 - Kozak, Anna A1 - Rosinska, Joanna A1 - Szelag-Wasielewska, Elzbieta A1 - Domek, Piotr A1 - Jakubowska-Krepska, Natalia A1 - Kwasizur, Kinga A1 - Messyasz, Beata A1 - Pelechata, Aleksandra A1 - Pelechaty, Mariusz A1 - Kokocinski, Mikolaj A1 - Madrecka, Beata A1 - Kostrzewska-Szlakowska, Iwona A1 - Frak, Magdalena A1 - Bankowska-Sobczak, Agnieszka A1 - Wasilewicz, Michal A1 - Ochocka, Agnieszka A1 - Pasztaleniec, Agnieszka A1 - Jasser, Iwona A1 - Antao-Geraldes, Ana M. A1 - Leira, Manel A1 - Hernandez, Armand A1 - Vasconcelos, Vitor A1 - Morais, Joao A1 - Vale, Micaela A1 - Raposeiro, Pedro M. A1 - Goncalves, Vitor A1 - Aleksovski, Boris A1 - Krstic, Svetislav A1 - Nemova, Hana A1 - Drastichova, Iveta A1 - Chomova, Lucia A1 - Remec-Rekar, Spela A1 - Elersek, Tina A1 - Delgado-Martin, Jordi A1 - Garcia, David A1 - Luis Cereijo, Jose A1 - Goma, Joan A1 - Carmen Trapote, Mari A1 - Vegas-Vilarrubia, Teresa A1 - Obrador, Biel A1 - Garcia-Murcia, Ana A1 - Real, Monserrat A1 - Romans, Elvira A1 - Noguero-Ribes, Jordi A1 - Parreno Duque, David A1 - Fernandez-Moran, Elisabeth A1 - Ubeda, Barbara A1 - Angel Galvez, Jose A1 - Marce, Rafael A1 - Catalan, Nuria A1 - Perez-Martinez, Carmen A1 - Ramos-Rodriguez, Eloisa A1 - Cillero-Castro, Carmen A1 - Moreno-Ostos, Enrique A1 - Maria Blanco, Jose A1 - Rodriguez, Valeriano A1 - Juan Montes-Perez, Jorge A1 - Palomino, Roberto L. A1 - Rodriguez-Perez, Estela A1 - Carballeira, Rafael A1 - Camacho, Antonio A1 - Picazo, Antonio A1 - Rochera, Carlos A1 - Santamans, Anna C. A1 - Ferriol, Carmen A1 - Romo, Susana A1 - Soria, Juan Miguel A1 - Hansson, Lars-Anders A1 - Urrutia-Cordero, Pablo A1 - Ozen, Arda A1 - Bravo, Andrea G. A1 - Buck, Moritz A1 - Colom-Montero, William A1 - Mustonen, Kristiina A1 - Pierson, Don A1 - Yang, Yang A1 - Verspagen, Jolanda M. H. A1 - Domis, Lisette N. de Senerpont A1 - Seelen, Laura A1 - Teurlincx, Sven A1 - Verstijnen, Yvon A1 - Lurling, Miquel A1 - Maliaka, Valentini A1 - Faassen, Elisabeth J. A1 - Latour, Delphine A1 - Carey, Cayelan C. A1 - Paerl, Hans W. A1 - Torokne, Andrea A1 - Karan, Tunay A1 - Demir, Nilsun A1 - Beklioglu, Meryem A1 - Filiz, Nur A1 - Levi, Eti E. A1 - Iskin, Ugur A1 - Bezirci, Gizem A1 - Tavsanoglu, Ulku Nihan A1 - Celik, Kemal A1 - Ozhan, Koray A1 - Karakaya, Nusret A1 - Kocer, Mehmet Ali Turan A1 - Yilmaz, Mete A1 - Maraslioglu, Faruk A1 - Fakioglu, Ozden A1 - Soylu, Elif Neyran A1 - Yagci, Meral Apaydin A1 - Cinar, Sakir A1 - Capkin, Kadir A1 - Yagci, Abdulkadir A1 - Cesur, Mehmet A1 - Bilgin, Fuat A1 - Bulut, Cafer A1 - Uysal, Rahmi A1 - Koker, Latife A1 - Akcaalan, Reyhan A1 - Albay, Meric A1 - Alp, Mehmet Tahir A1 - Ozkan, Korhan A1 - Sevindik, Tugba Ongun A1 - Tunca, Hatice A1 - Onem, Burcin A1 - Richardson, Jessica A1 - Edwards, Christine A1 - Bergkemper, Victoria A1 - Beirne, Eilish A1 - Cromie, Hannah A1 - Ibelings, Bastiaan W. T1 - Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins JF - Scientific Data N2 - Under ongoing climate change and increasing anthropogenic activity, which continuously challenge ecosystem resilience, an in-depth understanding of ecological processes is urgently needed. Lakes, as providers of numerous ecosystem services, face multiple stressors that threaten their functioning. Harmful cyanobacterial blooms are a persistent problem resulting from nutrient pollution and climate-change induced stressors, like poor transparency, increased water temperature and enhanced stratification. Consistency in data collection and analysis methods is necessary to achieve fully comparable datasets and for statistical validity, avoiding issues linked to disparate data sources. The European Multi Lake Survey (EMLS) in summer 2015 was an initiative among scientists from 27 countries to collect and analyse lake physical, chemical and biological variables in a fully standardized manner. This database includes in-situ lake variables along with nutrient, pigment and cyanotoxin data of 369 lakes in Europe, which were centrally analysed in dedicated laboratories. Publishing the EMLS methods and dataset might inspire similar initiatives to study across large geographic areas that will contribute to better understanding lake responses in a changing environment. KW - Climate-change ecology KW - Limnology KW - Water resources Y1 - 2018 U6 - https://doi.org/10.1038/sdata.2018.226 SN - 2052-4463 VL - 5 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Schmidt, Thomas A1 - Cioni, Maria-Rosa L. A1 - Niederhofer, Florian A1 - Bekki, Kenji A1 - Bell, Cameron P. M. A1 - de Grijs, Richard A1 - El Youssoufi, Dalal A1 - Ivanov, Valentin D. A1 - Oliveira, Joana M. A1 - Ripepi, Vincenzo A1 - van Loon, Jacco Th. T1 - The VMC survey: XLV. Proper motion of the outer LMC and the impact of the SMC JF - Astronomy and astrophysics N2 - Context. The Large Magellanic Cloud (LMC) is the most luminous satellite galaxy of the Milky Way and, owing to its companion, the Small Magellanic Cloud (SMC), represents an excellent laboratory to study the interaction of dwarf galaxies. Aims. The aim of this study is to investigate the kinematics of the outer regions of the LMC by using stellar proper motions to understand the impact of interactions, for example with the SMC about 250 Myr ago. Methods. We calculate proper motions using multi-epoch K s -band images from the VISTA survey of the Magellanic Cloud system (VMC). Observations span a time baseline of 2-5 yr. We combine the VMC data with data from the Gaia Early Data Release 3 and introduce a new method to distinguish between Magellanic and Milky Way stars based on a machine learning algorithm. This new technique enables a larger and cleaner sample selection of fainter sources as it reaches below the red clump of the LMC. Results. We investigate the impact of the SMC on the rotational field of the LMC and find hints of stripped SMC debris. The southeastern region of the LMC shows a slow rotational speed compared to the overall rotation. N-body simulations suggest that this could be caused by a fraction of stripped SMC stars located in that particular region that move opposite to the expected rotation. KW - Galaxy: kinematics and dynamics KW - Magellanic Clouds KW - galaxies: KW - interactions KW - proper motions KW - surveys Y1 - 2022 U6 - https://doi.org/10.1051/0004-6361/202142148 SN - 0004-6361 SN - 1432-0746 VL - 663 PB - EDP Sciences CY - Les Ulis ER - TY - JOUR A1 - Sun, Ning-Chen A1 - de Grijs, Richard A1 - Subramanian, Smitha A1 - Bekki, Kenji A1 - Bell, Cameron P. M. A1 - Cioni, Maria-Rosa L. A1 - Ivanov, Valentin D. A1 - Marconi, Marcella A1 - Oliveira, Joana M. A1 - Piatti, Andres E. A1 - Ripepi, Vincenzo A1 - Rubele, Stefano A1 - Tatton, Ben L. A1 - van Loon, Jacco Th. T1 - The VMC Survey. XXII. Hierarchical Star Formation in the 30 Doradus-N158–N159–N160 Star-forming Complex JF - The astrophysical journal : an international review of spectroscopy and astronomical physics N2 - Star formation is a hierarchical process, forming young stellar structures of star clusters, associations, and complexes over a wide range of scales. The star-forming complex in the bar region of the Large Magellanic Cloud is investigated with upper main-sequence stars observed by the VISTA Survey of the Magellanic Clouds. The upper main-sequence stars exhibit highly nonuniform distributions. Young stellar structures inside the complex are identified from the stellar density map as density enhancements of different significance levels. We find that these structures are hierarchically organized such that larger, lower-density structures contain one or several smaller, higher-density ones. They follow power-law size and mass distributions, as well as a lognormal surface density distribution. All these results support a scenario of hierarchical star formation regulated by turbulence. The temporal evolution of young stellar structures is explored by using subsamples of upper main-sequence stars with different magnitude and age ranges. While the youngest subsample, with a median age of log(tau/yr) = 7.2, contains the most substructure, progressively older ones are less and less substructured. The oldest subsample, with a median age of log(tau/yr) = 8.0, is almost indistinguishable from a uniform distribution on spatial scales of 30-300. pc, suggesting that the young stellar structures are completely dispersed on a timescale of similar to 100. Myr. These results are consistent with the characteristics of the 30. Doradus complex and the entire Large Magellanic Cloud, suggesting no significant environmental effects. We further point out that the fractal dimension may be method dependent for stellar samples with significant age spreads. KW - infrared: stars KW - Magellanic Clouds KW - stars: formation Y1 - 2017 U6 - https://doi.org/10.3847/1538-4357/aa911e SN - 0004-637X SN - 1538-4357 VL - 849 PB - IOP Publ. Ltd. CY - Bristol ER - TY - JOUR A1 - Miller, Amy E. A1 - Cioni, Maria-Rosa L. A1 - de Grijs, Richard A1 - Sun, Ning-Chen A1 - Bell, Cameron P. M. A1 - Choudhury, Samyaday A1 - Ivanov, Valentin D. A1 - Marconi, Marcella A1 - Oliveira, Joana M. A1 - Petr-Gotzens, Monika A1 - Ripepi, Vincenzo A1 - van Loon, Jacco Th. T1 - The VMC survey - XLVII. Turbulence-controlled hierarchical star formation in the large magellanic cloud JF - Monthly notices of the Royal Astronomical Society N2 - We perform a statistical clustering analysis of upper main-sequence stars in the Large Magellanic Cloud (LMC) using data from the Visible and Infrared Survey Telescope for Astronomy survey of the Magellanic Clouds. We map over 2500 young stellar structures at 15 significance levels across similar to 120 square degrees centred on the LMC. The structures have sizes ranging from a few parsecs to over 1 kpc. We find that the young structures follow power-law size and mass distributions. From the perimeter-area relation, we derive a perimeter-area dimension of 1.44 +/- 0.20. From the mass-size relation and the size distribution, we derive two-dimensional fractal dimensions of 1.50 +/- 0.10 and 1.61 +/- 0.20, respectively. We find that the surface density distribution is well represented by a lognormal distribution. We apply the Larson relation to estimate the velocity dispersions and crossing times of these structures. Our results indicate that the fractal nature of the young stellar structures has been inherited from the gas clouds from which they form and that this architecture is generated by supersonic turbulence. Our results also suggest that star formation in the LMC is scale-free from 10 to 700 pc. KW - methods: statistical KW - stars: early-type KW - stars: formation KW - galaxies: individual: Magellanic Clouds KW - galaxies: stellar content KW - galaxies: structure Y1 - 2022 U6 - https://doi.org/10.1093/mnras/stac508 SN - 0035-8711 SN - 1365-2966 VL - 512 IS - 1 SP - 1196 EP - 1213 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Piatti, Andres E. A1 - Ivanov, Valentin D. A1 - Rubele, Stefano A1 - Marconi, Marcella A1 - Ripepi, Vincenzo A1 - Cioni, Maria-Rosa L. A1 - Oliveira, Joana M. A1 - Bekki, Kenji T1 - The VMC Survey - XXI. New star cluster candidates discovered from infrared photometry in the Small Magellanic Cloud JF - Monthly notices of the Royal Astronomical Society KW - techniques: photometric KW - galaxies: individual: SMC KW - Magellanic Clouds Y1 - 2016 U6 - https://doi.org/10.1093/mnras/stw1000 SN - 0035-8711 SN - 1365-2966 VL - 460 SP - 383 EP - 395 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Cioni, Maria-Rosa L. A1 - Bekki, Kenji A1 - Girardi, Leo A1 - de Grijs, Richard A1 - Irwin, Mike J. A1 - Ivanov, Valentin D. A1 - Marconi, Marcella A1 - Oliveira, Joana M. A1 - Piatti, Andres E. A1 - Ripepi, Vincenzo A1 - van Loon, Jacco Th. T1 - XVII. Proper motions of the Small Magellanic Cloud and the Milky Way globular cluster 47 Tucanae JF - Physical review : E, Statistical, nonlinear and soft matter physics N2 - Aims. In this study we use multi-epoch near-infrared observations from the VISTA survey of the Magellanic Cloud system (VMC) to measure the proper motions of different stellar populations in a tile of 1.5 deg2 in size in the direction of the Galactic globular cluster 47 Tuc. We obtain the proper motion of the cluster itself, of the Small Magellanic Cloud (SMC), and of the field Milky Way stars. Methods. Stars of the three main stellar components are selected according to their spatial distributions and their distributions in colour−magnitude diagrams. Their average coordinate displacement is computed from the difference between multiple Ks-band observations for stars as faint as Ks = 19 mag. Proper motions are derived from the slope of the best-fitting line among ten VMC epochs over a time baseline of ~1 yr. Background galaxies are used to calibrate the absolute astrometric reference frame. Results. The resulting absolute proper motion of 47 Tuc is (μαcos(δ), μδ) = (+7.26 ± 0.03, −1.25 ± 0.03) mas yr-1. This measurement refers to about 35 000 sources distributed between 10′ and 60′ from the cluster centre. For the SMC we obtain (μαcos(δ), μδ) = (+1.16 ± 0.07, −0.81 ± 0.07) mas yr-1 from about 5250 red clump and red giant branch stars. The absolute proper motion of the Milky Way population in the line of sight (l = 305.9, b = −44.9) of this VISTA tile is (μαcos(δ), μδ) = (+10.22 ± 0.14, −1.27 ± 0.12) mas yr-1 and has been calculated from about 4000 sources. Systematic uncertainties associated with the astrometric reference system are 0.18 mas yr-1. Thanks to the proper motion we detect 47 Tuc stars beyond its tidal radius. KW - proper motions KW - surveys KW - Magellanic Clouds KW - globular clusters: individual: 47 Tucanae Y1 - 2016 U6 - https://doi.org/10.1051/0004-6361/201527004 SN - 1432-0746 VL - 586 SP - 67 EP - 75 PB - EDP Sciences CY - Les Ulis ER - TY - JOUR A1 - Niederhofer, Florian A1 - Cioni, Maria-Rosa L. A1 - Schmidt, Thomas A1 - Bekki, Kenji A1 - de Grijs, Richard A1 - Ivanov, Valentin D. A1 - Oliveira, Joana M. A1 - Ripepi, Vincenzo A1 - Subramanian, Smitha A1 - van Loon, Jacco Th T1 - The VMC survey – XLVI. Stellar proper motions in the centre of the Large Magellanic Cloud JF - Monthly notices of the Royal Astronomical Society N2 - We present proper motion (PM) measurements within the central region of the Large Magellanic Cloud (LMC), using near-infrared data from the VISTA survey of the Magellanic Cloud system (VMC). This work encompasses 18 VMC tiles covering a total sky area of similar to 28 deg(2). We computed absolute stellar PMs from multiepoch observations in the K-s filter over time baselines between similar to 12 and 47 months. Our final catalogue contains similar to 6322 000 likely LMC member stars with derived PMs. We employed a simple flat-rotating disc model to analyse and interpret the PM data. We found a stellar centre of rotation (alpha(0) = 79.95 degrees(+0.22)(-0.23), delta(0) = -69.31 degrees(+0.12)(-0.11)) that is in agreement with that resulting from Hubble Space Telescope data. The inferred viewing angles of the LMC disc (i = 33.5 degrees(+1.2)(-1.3), Theta = 129.8 degrees(+1.9)(-1.9)) are in good agreement with values from the literature but suggest a higher inclination of the central parts of the LMC. Our data confirm a higher rotation amplitude for the young (less than or similar to 0.5 Gyr) stars compared to the intermediate-age/old (greater than or similar to 1 Gyr) population, which can be explained by asymmetric drift. We constructed spatially resolved velocity maps of the intermediate-age/old and young populations. Intermediate-age/old stars follow elongated orbits parallel to the bar's major axis, providing first observational evidence for x(1) orbits within the LMC bar. In the innermost regions, the motions show more chaotic structures. Young stars show motions along a central filamentary bar structure. KW - surveys KW - proper motion KW - stars: kinematics and dynamics KW - galaxies: individual: LMC KW - Magellanic Clouds Y1 - 2022 U6 - https://doi.org/10.1093/mnras/stac712 SN - 0035-8711 SN - 1365-2966 VL - 512 IS - 4 SP - 5423 EP - 5439 PB - Oxford University Press CY - Oxford ER -