TY  - JOUR
A1  - Sommer, Ulrich
A1  - Adrian, Rita
A1  - Domis, Lisette Nicole de Senerpont
A1  - Elser, James J.
A1  - Gaedke, Ursula
A1  - Ibelings, Bas
A1  - Jeppesen, Erik
A1  - Lurling, Miquel
A1  - Molinero, Juan Carlos
A1  - Mooij, Wolf M.
A1  - van Donk, Ellen
A1  - Winder, Monika
ED  - Futuyma, DJ
T1  - Beyond the Plankton Ecology Group (PEG) Model mechanisms driving plankton succession
JF  - Annual review of ecology, evolution, and systematics
JF  - Annual Review of Ecology Evolution and Systematics
N2  - The seasonal succession of plankton is an annually repeated process of community assembly during which all major external factors and internal interactions shaping communities can be studied. A quarter of a century ago, the state of this understanding was described by the verbal plankton ecology group (PEG) model. It emphasized the role of physical factors, grazing and nutrient limitation for phytoplankton, and the role of food limitation and fish predation for zooplankton. Although originally targeted at lake ecosystems, it was also adopted by marine plankton ecologists. Since then, a suite of ecological interactions previously underestimated in importance have become research foci: overwintering of key organisms, the microbial food web, parasitism, and food quality as a limiting factor and an extended role of higher order predators. A review of the impact of these novel interactions on plankton seasonal succession reveals limited effects on gross seasonal biomass patterns, but strong effects on species replacements.
KW  - lakes
KW  - oceans
KW  - seasonal patterns
KW  - pelagic zone
KW  - light
KW  - overwintering
KW  - grazing
KW  - parasitism
KW  - food quality
Y1  - 2012
SN  - 978-0-8243-1443-9
U6  - https://doi.org/10.1146/annurev-ecolsys-110411-160251
SN  - 1543-592X
VL  - 43
IS  - 2-4
SP  - 429
EP  - 448
PB  - Annual Reviews
CY  - Palo Alto
ER  - 
TY  - GEN
A1  - Mooij, Wolf M.
A1  - Trolle, Dennis
A1  - Jeppesen, Erik
A1  - Arhonditsis, George B.
A1  - Belolipetsky, Pavel V.
A1  - Chitamwebwa, Deonatus B. R.
A1  - Degermendzhy, Andrey G.
A1  - DeAngelis, Donald L.
A1  - Domis, Lisette Nicole de Senerpont
A1  - Downing, Andrea S.
A1  - Elliott, J. Alex
A1  - Fragoso Jr., Carlos Ruberto
A1  - Gaedke, Ursula
A1  - Genova, Svetlana N.
A1  - Gulati, Ramesh D.
A1  - Håkanson, Lars
A1  - Hamilton, David P.
A1  - Hipsey, Matthew R.
A1  - ‘t Hoen, Jochem
A1  - Hülsmann, Stephan
A1  - Los, F. Hans
A1  - Makler-Pick, Vardit
A1  - Petzoldt, Thomas
A1  - Prokopkin, Igor G.
A1  - Rinke, Karsten
A1  - Schep, Sebastiaan A.
A1  - Tominaga, Koji
A1  - Van Dam, Anne A.
A1  - Van Nes, Egbert H.
A1  - Wells, Scott A.
A1  - Janse, Jan H.
T1  - Challenges and opportunities for integrating lake ecosystem modelling approaches
T2  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1326 
KW  - aquatic
KW  - food web dynamics
KW  - plankton
KW  - nutrients
KW  - spatial
KW  - lake
KW  - freshwater
KW  - marine
KW  - community
KW  - population
KW  - hydrology
KW  - eutrophication
KW  - global change
KW  - climate warming
KW  - fisheries
KW  - biodiversity
KW  - management
KW  - mitigation
KW  - adaptive processes
KW  - non-linear dynamics
KW  - analysis
KW  - bifurcation
KW  - understanding
KW  - prediction
KW  - model limitations
KW  - model integration
Y1  - 2010
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-429839
SN  - 1866-8372
IS  - 1326
ER  - 
TY  - JOUR
A1  - Mooij, Wolf M.
A1  - Trolle, Dennis
A1  - Jeppesen, Erik
A1  - Arhonditsis, George B.
A1  - Belolipetsky, Pavel V.
A1  - Chitamwebwa, Deonatus B. R.
A1  - Degermendzhy, Andrey G.
A1  - DeAngelis, Donald L.
A1  - Domis, Lisette Nicole de Senerpont
A1  - Downing, Andrea S.
A1  - Elliott, J. Alex
A1  - Fragoso Jr, Carlos Ruberto
A1  - Gaedke, Ursula
A1  - Genova, Svetlana N.
A1  - Gulati, Ramesh D.
A1  - Håkanson, Lars
A1  - Hamilton, David P.
A1  - Hipsey, Matthew R.
A1  - ‘t Hoen, Jochem
A1  - Hülsmann, Stephan
A1  - Los, F. Hans
A1  - Makler-Pick, Vardit
A1  - Petzoldt, Thomas
A1  - Prokopkin, Igor G.
A1  - Rinke, Karsten
A1  - Schep, Sebastiaan A.
A1  - Tominaga, Koji
A1  - Van Dam, Anne A.
A1  - Van Nes, Egbert H.
A1  - Wells, Scott A.
A1  - Janse, Jan H.
T1  - Challenges and opportunities for integrating lake ecosystem modelling approaches
JF  - Aquatic ecology
N2  - A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.
KW  - aquatic
KW  - food web dynamics
KW  - plankton
KW  - nutrients
KW  - spatial
KW  - lake
KW  - freshwater
KW  - marine
KW  - community
KW  - population
KW  - hydrology
KW  - eutrophication
KW  - global change
KW  - climate warming
KW  - fisheries
KW  - biodiversity
KW  - management
KW  - mitigation
KW  - adaptive processes
KW  - non-linear dynamics
KW  - analysis
KW  - bifurcation
KW  - understanding
KW  - prediction
KW  - model limitations
KW  - model integration
Y1  - 2010
U6  - https://doi.org/10.1007/s10452-010-9339-3
SN  - 1573-5125
SN  - 1386-2588
VL  - 44
SP  - 633
EP  - 667
PB  - Springer Science + Business Media B.V.
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Mantzouki, Evanthia
A1  - Beklioglu, Meryem
A1  - Brookes, Justin D.
A1  - Domis, Lisette Nicole de Senerpont
A1  - Dugan, Hilary A.
A1  - Doubek, Jonathan P.
A1  - Grossart, Hans-Peter
A1  - Nejstgaard, Jens C.
A1  - Pollard, Amina I.
A1  - Ptacnik, Robert
A1  - Rose, Kevin C.
A1  - Sadro, Steven
A1  - Seelen, Laura
A1  - Skaff, Nicholas K.
A1  - Teubner, Katrin
A1  - Weyhenmeyer, Gesa A.
A1  - Ibelings, Bastiaan W.
T1  - Snapshot surveys for lake monitoring, more than a shot in the dark
JF  - Frontiers in Ecology and Evolution
KW  - multi-lake snapshot surveys
KW  - lake monitoring
KW  - Nyquist-shannon sampling theorem
KW  - space-for-time substitution
KW  - phytoplankton ecology
Y1  - 2018
U6  - https://doi.org/10.3389/fevo.2018.00201
SN  - 2296-701X
VL  - 6
PB  - Frontiers Research Foundation
CY  - Lausanne
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  - 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  - Bukovinszky, Tibor
A1  - Verschoor, Antonie M.
A1  - Helmsing, Nico R.
A1  - Bezemer, T. Martijn
A1  - Bakker, Elisabeth S.
A1  - Vos, Matthijs
A1  - Domis, Lisette Nicole de Senerpont
T1  - The Good, the bad and the plenty Interactive effects of food quality and quantity on the growth of different daphnia species
JF  - PLoS one
N2  - Effects of food quality and quantity on consumers are neither independent nor interchangeable. Although consumer growth and reproduction show strong variation in relation to both food quality and quantity, the effects of food quality or food quantity have usually been studied in isolation. In two experiments, we studied the growth and reproduction in three filter-feeding freshwater zooplankton species, i.e. Daphnia galeata x hyalina, D. pulicaria and D. magna, on their algal food (Scenedesmus obliquus), varying in carbon to phosphorus (C:P) ratios and quantities (concentrations). In the first experiment, we found a strong positive effect of the phosphorus content of food on growth of Daphnia, both in their early and late juvenile development. Variation in the relationship between the P-content of animals and their growth rate reflected interspecific differences in nutrient requirements. Although growth rates typically decreased as development neared maturation, this did not affect these species-specific couplings between growth rate and Daphnia P-content. In the second experiment, we examined the effects of food quality on Daphnia growth at different levels of food quantity. With the same decrease in P-content of food, species with higher estimated P-content at zero growth showed a larger increase in threshold food concentrations (i.e. food concentration sufficient to meet metabolic requirements but not growth). These results suggest that physiological processes such as maintenance and growth may in combination explain effects of food quality and quantity on consumers. Our study shows that differences in response to variation in food quality and quantity exist between species. As a consequence, species-specific effects of food quality on consumer growth will also determine how species deal with varying food levels, which has implications for resource-consumer interactions.
Y1  - 2012
U6  - https://doi.org/10.1371/journal.pone.0042966
SN  - 1932-6203
VL  - 7
IS  - 9
PB  - PLoS
CY  - San Fransisco
ER  -