TY  - JOUR
A1  - Freaney, R.
A1  - MacShane, A.
A1  - Keaveny, T. V.
A1  - MacKenna, M.
A1  - Rabenstein, K.
A1  - Scheller, Frieder W.
A1  - Pfeiffer, Dorothea
A1  - Urban, G.
A1  - Moser, I.
A1  - Jobst, G.
A1  - Manz, A.
A1  - Verpoorte, E.
A1  - Widmer, M. W.
A1  - Diamond, D.
A1  - Dempsey, E.
A1  - deViteri, F. J. S.
A1  - Smyth, M.
T1  - Novel instrumentation for real-time monitoring using miniaturized flow systems with integrated biosensors
Y1  - 1997
ER  - 
TY  - JOUR
A1  - Hische, Manuela
A1  - Luis-Dominguez, Olga
A1  - Pfeiffer, Andreas F. H.
A1  - Schwarz, Peter E.
A1  - Selbig, Joachim
A1  - Spranger, Joachim
T1  - Decision trees as a simple-to-use and reliable tool to identify individuals with impaired glucose metabolism or type 2 diabetes mellitus
N2  - 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.
Y1  - 2010
UR  - http://www.eje-online.org/
U6  - https://doi.org/10.1530/Eje-10-0649
SN  - 0804-4643
ER  - 
TY  - JOUR
A1  - Sarrar, L.
A1  - Warschburger, Petra
A1  - Pfeiffer, E.
A1  - Lehmkuhl, Ulrike
A1  - Schneider, N.
T1  - Cognitive flexibility in adolescent patients with unipolar affective disorders - gender differences
JF  - Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie
N2  - 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.
KW  - cognitive flexibility
KW  - unipolar affective disorders
KW  - sex differences
KW  - adolescents
Y1  - 2013
U6  - https://doi.org/10.1024/1422-4917/a000240
SN  - 1422-4917
VL  - 41
IS  - 4
SP  - 261
EP  - 270
PB  - Hogrefe
CY  - Bern
ER  - 
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  - 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  - 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  - Allan, Eric
A1  - Bossdorf, Oliver
A1  - Dormann, Carsten F.
A1  - Prati, Daniel
A1  - Gossner, Martin M.
A1  - Tscharntke, Teja
A1  - Blüthgen, Nico
A1  - Bellach, Michaela
A1  - Birkhofer, Klaus
A1  - Boch, Steffen
A1  - Böhm, Stefan
A1  - Börschig, Carmen
A1  - Chatzinotas, Antonis
A1  - Christ, Sabina
A1  - Daniel, Rolf
A1  - Diekötter, Tim
A1  - Fischer, Christiane
A1  - Friedl, Thomas
A1  - Glaser, Karin
A1  - Hallmann, Christine
A1  - Hodac, Ladislav
A1  - Hölzel, Norbert
A1  - Jung, Kirsten
A1  - Klein, Alexandra-Maria
A1  - Klaus, Valentin H.
A1  - Kleinebecker, Till
A1  - Krauss, Jochen
A1  - Lange, Markus
A1  - Morris, E. Kathryn
A1  - Müller, Jörg
A1  - Nacke, Heiko
A1  - Pasalic, Esther
A1  - Rillig, Matthias C.
A1  - Rothenwoehrer, Christoph
A1  - Schally, Peter
A1  - Scherber, Christoph
A1  - Schulze, Waltraud X.
A1  - Socher, Stephanie A.
A1  - Steckel, Juliane
A1  - Steffan-Dewenter, Ingolf
A1  - Türke, Manfred
A1  - Weiner, Christiane N.
A1  - Werner, Michael
A1  - Westphal, Catrin
A1  - Wolters, Volkmar
A1  - Wubet, Tesfaye
A1  - Gockel, Sonja
A1  - Gorke, Martin
A1  - Hemp, Andreas
A1  - Renner, Swen C.
A1  - Schöning, Ingo
A1  - Pfeiffer, Simone
A1  - König-Ries, Birgitta
A1  - Buscot, Francois
A1  - Linsenmair, Karl Eduard
A1  - Schulze, Ernst-Detlef
A1  - Weisser, Wolfgang W.
A1  - Fischer, Markus
T1  - Interannual variation in land-use intensity enhances grassland multidiversity
JF  - Proceedings of the National Academy of Sciences of the United States of America
N2  - 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.
KW  - biodiversity loss
KW  - agricultural grasslands
KW  - Biodiversity Exploratories
Y1  - 2014
U6  - https://doi.org/10.1073/pnas.1312213111
SN  - 0027-8424
VL  - 111
IS  - 1
SP  - 308
EP  - 313
PB  - National Acad. of Sciences
CY  - Washington
ER  -