@article{FreaneyMacShaneKeavenyetal.1997, author = {Freaney, R. and MacShane, A. and Keaveny, T. V. and MacKenna, M. and Rabenstein, K. and Scheller, Frieder W. and Pfeiffer, Dorothea and Urban, G. and Moser, I. and Jobst, G. and Manz, A. and Verpoorte, E. and Widmer, M. W. and Diamond, D. and Dempsey, E. and deViteri, F. J. S. and Smyth, M.}, title = {Novel instrumentation for real-time monitoring using miniaturized flow systems with integrated biosensors}, year = {1997}, language = {en} } @article{HischeLuisDominguezPfeifferetal.2010, author = {Hische, Manuela and Luis-Dominguez, Olga and Pfeiffer, Andreas F. H. and Schwarz, Peter E. and Selbig, Joachim and Spranger, Joachim}, title = {Decision trees as a simple-to-use and reliable tool to identify individuals with impaired glucose metabolism or type 2 diabetes mellitus}, issn = {0804-4643}, doi = {10.1530/Eje-10-0649}, year = {2010}, abstract = {Objective: The prevalence of unknown impaired fasting glucose (IFG), impaired glucose tolerance (IGT), or type 2 diabetes mellitus (T2DM) is high. Numerous studies demonstrated that IFG, IGT, or T2DM are associated with increased cardiovascular risk, therefore an improved identification strategy would be desirable. The objective of this study was to create a simple and reliable tool to identify individuals with impaired glucose metabolism (IGM). Design and methods: A cohort of 1737 individuals (1055 controls, 682 with previously unknown IGM) was screened by 75 g oral glucose tolerance test (OGTT). Supervised machine learning was used to automatically generate decision trees to identify individuals with IGM. To evaluate the accuracy of identification, a tenfold cross-validation was performed. Resulting trees were subsequently re-evaluated in a second, independent cohort of 1998 individuals (1253 controls, 745 unknown IGM). Results: A clinical decision tree included age and systolic blood pressure (sensitivity 89.3\%, specificity 37.4\%, and positive predictive value (PPV) 48.0\%), while a tree based on clinical and laboratory data included fasting glucose and systolic blood pressure (sensitivity 89.7\%, specificity 54.6\%, and PPV 56.2\%). The inclusion of additional parameters did not improve test quality. The external validation approach confirmed the presented decision trees. Conclusion: We proposed a simple tool to identify individuals with existing IGM. From a practical perspective, fasting blood glucose and blood pressure measurements should be regularly measured in all individuals presenting in outpatient clinics. An OGTT appears to be useful only if the subjects are older than 48 years or show abnormalities in fasting glucose or blood pressure.}, language = {en} } @article{SarrarWarschburgerPfeifferetal.2013, author = {Sarrar, L. and Warschburger, Petra and Pfeiffer, E. and Lehmkuhl, Ulrike and Schneider, N.}, title = {Cognitive flexibility in adolescent patients with unipolar affective disorders - gender differences}, series = {Zeitschrift f{\"u}r Kinder- und Jugendpsychiatrie und Psychotherapie}, volume = {41}, journal = {Zeitschrift f{\"u}r Kinder- und Jugendpsychiatrie und Psychotherapie}, number = {4}, publisher = {Hogrefe}, address = {Bern}, issn = {1422-4917}, doi = {10.1024/1422-4917/a000240}, pages = {261 -- 270}, year = {2013}, abstract = {Objective: Several studies have revealed impairments in cognitive functions among patients with affective disorders (AD). However, to date there are few neuropsychological studies on cognitive flexibility among adolescent patients with AD, especially on gender differences in AD. Here, we investigate cognitive functions, especially cognitive flexibility, in adolescent patients with unipolar AD (UAD) compared to a healthy control group (CG). Method: The study population consists of 17 male patients (M-age = 15.4 +/- 1.3) and 22 female patients with UAD (M-age = 15.6 +/- 1.4) as well as 20 male (M-age = 16.0 +/- 1.0) and 30 female (M-age = 15.7 +/- 0.9) healthy adolescents. A neuropsychological test battery was conducted, and depressive symptoms, psychological stress, and intelligence were also assessed. Results: The analyses revealed no significant group differences regarding cognitive flexibility or visual processing speed, albeit slight better performance in motor processing speed for the CG. Furthermore, no gender differences were observed regarding cognitive flexibility, though female subjects general displayed better performance in processing speed. Conclusions: Overall, there are no indications for serious deficits and specific gender differences in cognitive flexibility or processing speed in adolescent patients with UAD. Independent of psychological distress, female subjects seem to have some advantages in processing speed.}, language = {de} } @article{MantzoukiLurlingFastneretal.2018, author = {Mantzouki, Evanthia and Lurling, Miquel and Fastner, Jutta and Domis, Lisette Nicole de Senerpont and Wilk-Wozniak, Elzbieta and Koreiviene, Judita and Seelen, Laura and Teurlincx, Sven and Verstijnen, Yvon and Krzton, Wojciech and Walusiak, Edward and Karosiene, Jurate and Kasperoviciene, Jurate and Savadova, Ksenija and Vitonyte, Irma and Cillero-Castro, Carmen and Budzynska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosinska, Joanna and Szelag-Wasielewska, Elzbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pelechata, Aleksandra and Pelechaty, Mariusz and Kokocinski, Mikolaj and Garcia-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Parreno Duque, David and Fernandez-Moran, Elisabeth and Karakaya, Nusret and Haggqvist, Kerstin and Demir, Nilsun and Beklioglu, Meryem and Filiz, Nur and Levi, Eti E. and Iskin, Ugur and Bezirci, Gizem and Tavsanoglu, Ulku Nihan and Ozhan, Koray and Gkelis, Spyros and Panou, Manthos and Fakioglu, Ozden and Avagianos, Christos and Kaloudis, Triantafyllos and Celik, Kemal and Yilmaz, Mete and Marce, Rafael and Catalan, Nuria and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Raposeiro, Pedro M. and Goncalves, Vitor and Antoniou, Maria G. and Tsiarta, Nikoletta and McCarthy, Valerie and Perello, Victor C. and Feldmann, Tonu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Gagala, Ilona and Mankiewicz-Boczek, Joana and Yagci, Meral Apaydin and Cinar, Sakir and Capkin, Kadir and Yagci, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Richardson, Jessica and Visser, Petra M. and Verspagen, Jolanda M. H. and Karan, Tunay and Soylu, Elif Neyran and Maraslioglu, Faruk and Napiorkowska-Krzebietke, Agnieszka and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Antao-Geraldes, Ana M. and Vasconcelos, Vitor and Morais, Joao and Vale, Micaela and Koker, Latife and Akcaalan, Reyhan and Albay, Meric and Maronic, Dubravka Spoljaric and Stevic, Filip and Pfeiffer, Tanja Zuna and Fonvielle, Jeremy Andre and Straile, Dietmar and Rothhaupt, Karl-Otto and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Blaha, Ludek and Geris, Rodan and Frankova, Marketa and Kocer, Mehmet Ali Turan and Alp, Mehmet Tahir and Remec-Rekar, Spela and Elersek, Tina and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Haande, Sigrid and Skjelbred, Birger and Madrecka, Beata and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Edwards, Christine and Sevindik, Tugba Ongun and Tunca, Hatice and OEnem, Burcin and Aleksovski, Boris and Krstic, Svetislav and Vucelic, Itana Bokan and Nawrocka, Lidia and Salmi, Pauliina and Machado-Vieira, Danielle and de Oliveira, Alinne Gurjao and Delgado-Martin, Jordi and Garcia, David and Cereijo, Jose Luis and Goma, Joan and Trapote, Mari Carmen and Vegas-Vilarrubia, Teresa and Obrador, Biel and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and Ubeda, Barbara and Angel Galvez, Jose and Ozen, Arda and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Kobos, Justyna and Mazur-Marzec, Hanna and Perez-Martinez, Carmen and Ramos-Rodriguez, Eloisa and Arvola, Lauri and Alcaraz-Parraga, Pablo and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Niedzwiecki, Michal and Peczula, Wojciech and Leira, Manel and Hernandez, Armand and Moreno-Ostos, Enrique and Maria Blanco, Jose and Rodriguez, Valeriano and Juan Montes-Perez, Jorge and Palomino, Roberto L. and Rodriguez-Perez, Estela and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Miguel Soria, Juan and Dunalska, Julita and Sienska, Justyna and Szymanski, Daniel and Kruk, Marek and Kostrzewska-Szlakowska, Iwona and Jasser, Iwona and Zutinic, Petar and Udovic, Marija Gligora and Plenkovic-Moraj, Andelka and Frak, Magdalena and Bankowska-Sobczak, Agnieszka and Wasilewicz, Michal and Ozkan, Korhan and Maliaka, Valentini and Kangro, Kersti and Grossart, Hans-Peter and Paerl, Hans W. and Carey, Cayelan C. and Ibelings, Bas W.}, title = {Temperature effects explain continental scale distribution of cyanobacterial toxins}, series = {Toxins}, volume = {10}, journal = {Toxins}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {2072-6651}, doi = {10.3390/toxins10040156}, pages = {24}, year = {2018}, abstract = {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.}, language = {en} } @article{MantzoukiCampbellvanLoonetal.2018, author = {Mantzouki, Evanthia and Campbell, James and van Loon, Emiel and Visser, Petra and Konstantinou, Iosif and Antoniou, Maria and Giuliani, Gregory and Machado-Vieira, Danielle and de Oliveira, Alinne Gurjao and Maronic, Dubravka Spoljaric and Stevic, Filip and Pfeiffer, Tanja Zuna and Vucelic, Itana Bokan and Zutinic, Petar and Udovic, Marija Gligora and Plenkovic-Moraj, Andelka and Tsiarta, Nikoletta and Blaha, Ludek and Geris, Rodan and Frankova, Marketa and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Feldmann, Tonu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Kangro, Kersti and Haggqvist, Kerstin and Salmi, Pauliina and Arvola, Lauri and Fastner, Jutta and Straile, Dietmar and Rothhaupt, Karl-Otto and Fonvielle, Jeremy Andre and Grossart, Hans-Peter and Avagianos, Christos and Kaloudis, Triantafyllos and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Gkelis, Spyros and Panou, Manthos and McCarthy, Valerie and Perello, Victor C. and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Koreiviene, Judita and Karosiene, Jurate and Kasperoviciene, Jurate and Savadova, Ksenija and Vitonyte, Irma and Haande, Sigrid and Skjelbred, Birger and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and Nawrocka, Lidia and Kobos, Justyna and Mazur-Marzec, Hanna and Alcaraz-Parraga, Pablo and Wilk-Wozniak, Elzbieta and Krzton, Wojciech and Walusiak, Edward and Gagala, Ilona and Mankiewicz-Boczek, Joana and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Niedzwiecki, Michal and Peczula, Wojciech and Napiorkowska-Krzebietke, Agnieszka and Dunalska, Julita and Sienska, Justyna and Szymanski, Daniel and Kruk, Marek and Budzynska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosinska, Joanna and Szelag-Wasielewska, Elzbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pelechata, Aleksandra and Pelechaty, Mariusz and Kokocinski, Mikolaj and Madrecka, Beata and Kostrzewska-Szlakowska, Iwona and Frak, Magdalena and Bankowska-Sobczak, Agnieszka and Wasilewicz, Michal and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Jasser, Iwona and Antao-Geraldes, Ana M. and Leira, Manel and Hernandez, Armand and Vasconcelos, Vitor and Morais, Joao and Vale, Micaela and Raposeiro, Pedro M. and Goncalves, Vitor and Aleksovski, Boris and Krstic, Svetislav and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Remec-Rekar, Spela and Elersek, Tina and Delgado-Martin, Jordi and Garcia, David and Luis Cereijo, Jose and Goma, Joan and Carmen Trapote, Mari and Vegas-Vilarrubia, Teresa and Obrador, Biel and Garcia-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Parreno Duque, David and Fernandez-Moran, Elisabeth and Ubeda, Barbara and Angel Galvez, Jose and Marce, Rafael and Catalan, Nuria and Perez-Martinez, Carmen and Ramos-Rodriguez, Eloisa and Cillero-Castro, Carmen and Moreno-Ostos, Enrique and Maria Blanco, Jose and Rodriguez, Valeriano and Juan Montes-Perez, Jorge and Palomino, Roberto L. and Rodriguez-Perez, Estela and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Soria, Juan Miguel and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Ozen, Arda and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Verspagen, Jolanda M. H. and Domis, Lisette N. de Senerpont and Seelen, Laura and Teurlincx, Sven and Verstijnen, Yvon and Lurling, Miquel and Maliaka, Valentini and Faassen, Elisabeth J. and Latour, Delphine and Carey, Cayelan C. and Paerl, Hans W. and Torokne, Andrea and Karan, Tunay and Demir, Nilsun and Beklioglu, Meryem and Filiz, Nur and Levi, Eti E. and Iskin, Ugur and Bezirci, Gizem and Tavsanoglu, Ulku Nihan and Celik, Kemal and Ozhan, Koray and Karakaya, Nusret and Kocer, Mehmet Ali Turan and Yilmaz, Mete and Maraslioglu, Faruk and Fakioglu, Ozden and Soylu, Elif Neyran and Yagci, Meral Apaydin and Cinar, Sakir and Capkin, Kadir and Yagci, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Koker, Latife and Akcaalan, Reyhan and Albay, Meric and Alp, Mehmet Tahir and Ozkan, Korhan and Sevindik, Tugba Ongun and Tunca, Hatice and Onem, Burcin and Richardson, Jessica and Edwards, Christine and Bergkemper, Victoria and Beirne, Eilish and Cromie, Hannah and Ibelings, Bastiaan W.}, title = {Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins}, series = {Scientific Data}, volume = {5}, journal = {Scientific Data}, publisher = {Nature Publ. Group}, address = {London}, issn = {2052-4463}, doi = {10.1038/sdata.2018.226}, pages = {13}, year = {2018}, abstract = {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.}, language = {en} } @misc{MantzoukiLuerlingFastneretal.2018, author = {Mantzouki, Evanthia and L{\"u}rling, Miquel and Fastner, Jutta and Domis, Lisette Nicole de Senerpont and Wilk-Wo{\'{z}}niak, Elżbieta and Koreiviene, Judita and Seelen, Laura and Teurlincx, Sven and Verstijnen, Yvon and Krztoń, Wojciech and Walusiak, Edward and Karosienė, Jūratė and Kasperovičienė, Jūratė and Savadova, Ksenija and Vitonytė, Irma and Cillero-Castro, Carmen and Budzyńska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosińska, Joanna and Szeląg-Wasielewska, Elżbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pełechata, Aleksandra and Pełechaty, Mariusz and Kokocinski, Mikolaj and Garc{\´i}a-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Duque, David Parre{\~n}o and Fern{\´a}ndez-Mor{\´a}n, El{\´i}sabeth and Karakaya, Nusret and H{\"a}ggqvist, Kerstin and Beklioğlu, Meryem and Filiz, Nur and Levi, Eti E. and Iskin, Uğur and Bezirci, Gizem and Tav{\c{s}}anoğlu, {\"U}lk{\"u} Nihan and {\"O}zhan, Koray and Gkelis, Spyros and Panou, Manthos and Fakioglu, {\"O}zden and Avagianos, Christos and Kaloudis, Triantafyllos and {\c{C}}elik, Kemal and Yilmaz, Mete and Marc{\´e}, Rafael and Catal{\´a}n, Nuria and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Raposeiro, Pedro M. and Gon{\c{c}}alves, V{\´i}tor and Antoniou, Maria G. and Tsiarta, Nikoletta and McCarthy, Valerie and Perello, Victor C. and Feldmann, T{\~o}nu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Gagala, Ilona and Mankiewicz-Boczek, Joana and Yağc{\i}, Meral Apayd{\i}n and {\c{C}}{\i}nar, Şakir and {\c{C}}apk{\i}n, Kadir and Yağc{\i}, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Richardson, Jessica and Visser, Petra M. and Verspagen, Jolanda M. H. and Karan, T{\"u}nay and Soylu, Elif Neyran and Mara{\c{s}}l{\i}oğlu, Faruk and Napi{\´o}rkowska-Krzebietke, Agnieszka and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Ant{\~a}o-Geraldes, Ana M. and Vasconcelos, Vitor and Morais, Jo{\~a}o and Vale, Micaela and K{\"o}ker, Latife and Ak{\c{c}}aalan, Reyhan and Albay, Meri{\c{c}} and Maronić, Dubravka Špoljarić and Stević, Filip and Pfeiffer, Tanja Žuna and Fonvielle, Jeremy Andre and Straile, Dietmar and Rothhaupt, Karl-Otto and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Bl{\´a}ha, Luděk and Geriš, Rodan and Fr{\´a}nkov{\´a}, Mark{\´e}ta and Ko{\c{c}}er, Mehmet Ali Turan and Alp, Mehmet Tahir and Remec-Rekar, Spela and Elersek, Tina and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Haande, Sigrid and Skjelbred, Birger and Madrecka, Beata and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Edwards, Christine and Sevindik, Tuğba Ongun and Tunca, Hatice and {\"O}nem, Bur{\c{c}}in and Aleksovski, Boris and Krstić, Svetislav and Vucelić, Itana Bokan and Nawrocka, Lidia and Salmi, Pauliina and Machado-Vieira, Danielle and Oliveira, Alinne Gurj{\~a}o De and Delgado-Mart{\´i}n, Jordi and Garc{\´i}a, David and Cereijo, Jose Lu{\´i}s and Gom{\`a}, Joan and Trapote, Mari Carmen and Vegas-Vilarr{\´u}bia, Teresa and Obrador, Biel and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and {\´U}beda, B{\´a}rbara and G{\´a}lvez, Jos{\´e} {\´A}ngel and {\"O}zen, Arda and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Kobos, Justyna and Mazur-Marzec, Hanna and P{\´e}rez-Mart{\´i}nez, Carmen and Ramos-Rodr{\´i}guez, Elo{\´i}sa and Arvola, Lauri and Alcaraz-P{\´a}rraga, Pablo and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Nied{\'{z}}wiecki, Michał and Pęczuła, Wojciech and Leira, Manel and Hern{\´a}ndez, Armand and Moreno-Ostos, Enrique and Blanco, Jos{\´e} Mar{\´i}a and Rodr{\´i}guez, Valeriano and Montes-P{\´e}rez, Jorge Juan and Palomino, Roberto L. and Rodr{\´i}guez-P{\´e}rez, Estela and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Soria, Juan Miguel and Dunalska, Julita and Sieńska, Justyna and Szymański, Daniel and Kruk, Marek and Kostrzewska-Szlakowska, Iwona and Jasser, Iwona and Žutinić, Petar and Udovič, Marija Gligora and Plenković-Moraj, Anđelka and Frąk, Magdalena and Bańkowska-Sobczak, Agnieszka and Wasilewicz, Michał and {\"O}zkan, Korhan and Maliaka, Valentini and Kangro, Kersti and Grossart, Hans-Peter and Paerl, Hans W. and Carey, Cayelan C. and Ibelings, Bas W.}, title = {Temperature effects explain continental scale distribution of cyanobacterial toxins}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {1105}, issn = {1866-8372}, doi = {10.25932/publishup-42790}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-427902}, pages = {26}, year = {2018}, abstract = {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.}, language = {en} } @article{AllanBossdorfDormannetal.2014, author = {Allan, Eric and Bossdorf, Oliver and Dormann, Carsten F. and Prati, Daniel and Gossner, Martin M. and Tscharntke, Teja and Bl{\"u}thgen, Nico and Bellach, Michaela and Birkhofer, Klaus and Boch, Steffen and B{\"o}hm, Stefan and B{\"o}rschig, Carmen and Chatzinotas, Antonis and Christ, Sabina and Daniel, Rolf and Diek{\"o}tter, Tim and Fischer, Christiane and Friedl, Thomas and Glaser, Karin and Hallmann, Christine and Hodac, Ladislav and H{\"o}lzel, Norbert and Jung, Kirsten and Klein, Alexandra-Maria and Klaus, Valentin H. and Kleinebecker, Till and Krauss, Jochen and Lange, Markus and Morris, E. Kathryn and M{\"u}ller, J{\"o}rg and Nacke, Heiko and Pasalic, Esther and Rillig, Matthias C. and Rothenwoehrer, Christoph and Schally, Peter and Scherber, Christoph and Schulze, Waltraud X. and Socher, Stephanie A. and Steckel, Juliane and Steffan-Dewenter, Ingolf and T{\"u}rke, Manfred and Weiner, Christiane N. and Werner, Michael and Westphal, Catrin and Wolters, Volkmar and Wubet, Tesfaye and Gockel, Sonja and Gorke, Martin and Hemp, Andreas and Renner, Swen C. and Sch{\"o}ning, Ingo and Pfeiffer, Simone and K{\"o}nig-Ries, Birgitta and Buscot, Francois and Linsenmair, Karl Eduard and Schulze, Ernst-Detlef and Weisser, Wolfgang W. and Fischer, Markus}, title = {Interannual variation in land-use intensity enhances grassland multidiversity}, series = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {111}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, number = {1}, publisher = {National Acad. of Sciences}, address = {Washington}, issn = {0027-8424}, doi = {10.1073/pnas.1312213111}, pages = {308 -- 313}, year = {2014}, abstract = {Although temporal heterogeneity is a well-accepted driver of biodiversity, effects of interannual variation in land-use intensity (LUI) have not been addressed yet. Additionally, responses to land use can differ greatly among different organisms; therefore, overall effects of land-use on total local biodiversity are hardly known. To test for effects of LUI (quantified as the combined intensity of fertilization, grazing, and mowing) and interannual variation in LUI (SD in LUI across time), we introduce a unique measure of whole-ecosystem biodiversity, multidiversity. This synthesizes individual diversity measures across up to 49 taxonomic groups of plants, animals, fungi, and bacteria from 150 grasslands. Multidiversity declined with increasing LUI among grasslands, particularly for rarer species and aboveground organisms, whereas common species and belowground groups were less sensitive. However, a high level of interannual variation in LUI increased overall multidiversity at low LUI and was even more beneficial for rarer species because it slowed the rate at which the multidiversity of rare species declined with increasing LUI. In more intensively managed grasslands, the diversity of rarer species was, on average, 18\% of the maximum diversity across all grasslands when LUI was static over time but increased to 31\% of the maximum when LUI changed maximally over time. In addition to decreasing overall LUI, we suggest varying LUI across years as a complementary strategy to promote biodiversity conservation.}, language = {en} }