@article{LeachBeisnerCareyetal.2018,
  author    = {Leach, Taylor H. and Beisner, Beatrix E. and Carey, Cayelan C. and Pernica, Patricia and Rose, Kevin C. and Huot, Yannick and Brentrup, Jennifer A. and Domaizon, Isabelle and Grossart, Hans-Peter and Ibelings, Bastiaan W. and Jacquet, Stephan and Kelly, Patrick T. and Rusak, James A. and Stockwell, Jason D. and Straile, Dietmar and Verburg, Piet},
  title     = {Patterns and drivers of deep chlorophyll maxima structure in 100 lakes},
  series = {Limnology and oceanography},
  volume    = {63},
  journal   = {Limnology and oceanography},
  number    = {2},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {0024-3590},
  doi       = {10.1002/lno.10656},
  pages     = {628 -- 646},
  year      = {2018},
  abstract  = {The vertical distribution of chlorophyll in stratified lakes and reservoirs frequently exhibits a maximum peak deep in the water column, referred to as the deep chlorophyll maximum (DCM). DCMs are ecologically important hot spots of primary production and nutrient cycling, and their location can determine vertical habitat gradients for primary consumers. Consequently, the drivers of DCM structure regulate many characteristics of aquatic food webs and biogeochemistry. Previous studies have identified light and thermal stratification as important drivers of summer DCM depth, but their relative importance across a broad range of lakes is not well resolved. We analyzed profiles of chlorophyll fluorescence, temperature, and light during summer stratification from 100 lakes in the Global Lake Ecological Observatory Network (GLEON) and quantified two characteristics of DCM structure: depth and thickness. While DCMs do form in oligotrophic lakes, we found that they can also form in eutrophic to dystrophic lakes. Using a random forest algorithm, we assessed the relative importance of variables associated with light attenuation vs. thermal stratification for predicting DCM structure in lakes that spanned broad gradients of morphometry and transparency. Our analyses revealed that light attenuation was a more important predictor of DCM depth than thermal stratification and that DCMs deepen with increasing lake clarity. DCM thickness was best predicted by lake size with larger lakes having thicker DCMs. Additionally, our analysis demonstrates that the relative importance of light and thermal stratification on DCM structure is not uniform across a diversity of lake types.},
  language  = {en}
}
@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{HartwichStraileGaedkeetal.2012,
  author    = {Hartwich, Melanie and Straile, Dietmar and Gaedke, Ursula and Wacker, Alexander},
  title     = {Use of ciliate and phytoplankton taxonomic composition for the estimation of eicosapentaenoic acid concentration in lakes},
  series = {Freshwater biology},
  volume    = {57},
  journal   = {Freshwater biology},
  number    = {7},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0046-5070},
  doi       = {10.1111/j.1365-2427.2012.02799.x},
  pages     = {1385 -- 1398},
  year      = {2012},
  abstract  = {1. The polyunsaturated fatty acid eicosapentaenoic acid (EPA) plays an important role in aquatic food webs, in particular at the primary producerconsumer interface where keystone species such as daphnids may be constrained by its dietary availability. Such constraints and their seasonal and interannual changes may be detected by continuous measurements of EPA concentrations. However, such EPA measurements became common only during the last two decades, whereas long-term data sets on plankton biomass are available for many well-studied lakes. Here, we test whether it is possible to estimate EPA concentrations from abiotic variables (light and temperature) and the biomass of prey organisms (e.g. ciliates, diatoms and cryptophytes) that potentially provide EPA for consumers. 2. We used multiple linear regression to relate size- and taxonomically resolved plankton biomass data and measurements of temperature and light intensity to directly measured EPA concentrations in Lake Constance during a whole year. First, we tested the predictability of EPA concentrations from the biomass of EPA-rich organisms (diatoms, cryptophytes and ciliates). Secondly, we included the variables mean temperature and mean light intensity over the sampling depth (020 m) and depth (08 and 820 m) as factors in our model to check for large-scale seasonal- and depth-dependent effects on EPA concentrations. In a third step, we included the deviations of light and temperature from mean values in our model to allow for their potential influence on the biochemical composition of plankton organisms. We used the Akaike Information Criterion to determine the best models. 3. All approaches supported our proposition that the biomasses of specific plankton groups are variables from which seston EPA concentrations can be derived. The importance of ciliates as an EPA source in the seston was emphasised by their high weight in our models, although ciliates are neglected in most studies that link fatty acids to seston taxonomic composition. The large-scale seasonal variability of light intensity and its interaction with diatom biomass were significant predictors of EPA concentrations. The deviation of temperature from mean values, accounting for a depth-dependent effect on EPA concentrations, and its interaction with ciliate biomass were also variables with high predictive power. 4. The best models from the first and second approaches were validated with measurements of EPA concentrations from another year (1997). The estimation with the best model including only biomass explained 80\%, and the best model from the second approach including mean temperature and depth explained 87\% of the variability in EPA concentrations in 1997. 5. We show that it is possible to predict EPA concentrations reliably from plankton biomass, while the inclusion of abiotic factors led to results that were only partly consistent with expectations from laboratory studies. Our approach of including biotic predictors should be transferable to other systems and allow checking for biochemical constraints on primary consumers.},
  language  = {en}
}
@article{KamjunkeStraileGaedke2009,
  author    = {Kamjunke, Norbert and Straile, Dietmar and Gaedke, Ursula},
  title     = {Response of heterotrophic bacteria, autotrophic picoplankton and heterotrophic nanoflagellates to re- oligotrophication},
  issn      = {0142-7873},
  doi       = {10.1093/plankt/fbp037},
  year      = {2009},
  abstract  = {We investigated the response of the microbial components of the pelagic food web to re-oligotrophication of large, deep Lake Constance where total phosphorus concentrations during mixing decreased from a maximum of 2.81 mu mol L- 1 in 1979 via 1.87 mu mol L-1 in 1987 to 0.26 mu mol L-1 in 2007. Measurements of heterotrophic bacteria, autotrophic picoplankton (APP) and heterotrophic nanoflagellates (HNF) in 2006 and 2007 were compared to values from 1987 to 1997. We hypothesized that the biomass and seasonal variability of all groups will decrease under more oligotrophic conditions due to reduced resource availability, particularly for APP and HNF but less for the competitively stronger bacteria. Average bacterial biomass between spring and autumn was unrelated to phosphorus, whereas the ratio of bacterial biomass to chlorophyll a concentration increased with decreasing trophy due to declining chlorophyll concentrations. In contrast, a unimodal relationship was found between APP and phosphorus with low biomass at low and high phosphorus concentrations and maximum biomass in between. Average HNF biomass decreased strongly by a factor of 10-30 with decreasing trophy, and chlorophyll-specific HNF biomass was unimodally related to phosphorus. The relative seasonal biomass variability did not change for any group during re-oligotrophication. To conclude, HNF responded much more strongly and bacteria less so than chlorophyll concentrations to oligotrophication, whereas APP exhibited a more complex pattern.},
  language  = {en}
}
@article{HartStoneSternetal.1997,
  author    = {Hart, D. and Stone, L. and Stern, A. and Straile, Dietmar and Gaedke, Ursula},
  title     = {Methods for balancing ecosystem flux charts : new techniques and software},
  year      = {1997},
  language  = {en}
}
@article{GaedkeStraile1998,
  author    = {Gaedke, Ursula and Straile, Dietmar},
  title     = {Daphnids : Keystone species for the pelagic food web structure and energy flow ; a body size related analysis linking seasonal changes on the population and ecosystem level},
  year      = {1998},
  abstract  = {Seasonal changes of the impact of daphnids on the plankton biomass size distribution, the biomass within individual size ranges, the average predator-prey weight ratios, and the efficiency to transfer matter and energy from small to large organisms are analyzed in large and deep Lake Constance based on comprehensive long-term observations. A comparison of daphnid biomass and production with those of other herbivorous groups (i. e. ciliates, rotifers, herbivorous crustaceans) reveals that in early spring daphnids play a minor role in relative and absolute values as compared to small fast growing ciliates. During this time, small algae and ciliates dominate which gives rise to a decreasing Sheldon-type size spectrum, low predator-prey weight ratios, and a low transfer efficiency along the size gradient. Around June, daphnids reach maximum abundances and become keystone species for the shape of the biomass size distribution, the food web structure, and the energy flow. They accumulate biomass in their size range one order of magnitude above the average. The slope of the normalized biomass size spectrum is less negative and positively correlated with daphnid biomass if the latter exceeds about 200 mg C/m2. This indicates a more efficient transfer along the size gradient with high predator-prey weight ratios and high trophic transfer efficiencies. The coefficients of determination of regression lines fitted to size distributions decrease with daphnid abundance, i. e. the size spectra become more irregular when daphnids dominate. In midsummer, daphnids lose their dominance and coexist with other herbivores (especially ciliates) in a highly diverse plankton community. The latter gives rise to a relatively smooth and almost flat Sheldon-type size distribution, lower predator-prey weight ratios, and a slightly reduced transfer efficiency along the size gradient. In late spring/early summer, negative relationships are found between daphnid biomass and the biomasses in the size ranges of autotrophic picoplankton, small phytoplankton, heterotrophic flagellates, and small and medium sized ciliates (0.06 - 32 pg C and 100-30,000 pg C). In mid- and late summer or on annual average, hardly any of these relationships existed. This cannot solely be attributed to lower daphnid abundance but points also to a more diverse control of small plankton organisms including nutrient limitation in summer. Ciliates influence the slope and shape of the size distribution much less than daphnids although they are at least of equal importance as daphnids in respect to herbivory and related fluxes in Lake Constance on annual average. The findings on the impact of daphnids on the energy flow within the plankton food web derived from size distributions are compared to, and are consistent with results obtained by mass-balanced carbon flow diagrams.},
  language  = {en}
}
@article{GaedkeHochstaedterStraile2002,
  author    = {Gaedke, Ursula and Hochst{\"a}dter, Silke and Straile, Dietmar},
  title     = {Interplay between energy limitation and nutritional deficiency: Empirical data and food web models},
  year      = {2002},
  abstract  = {Due to differences in the biochemical composition of autotrophs and their grazers, food quality can strongly influence herbivore population dynamics. Under nutrient depleted conditions the carbon to nutrient ratios of autotrophs can increase to such an extent that consumers become nutrient rather than energy limited. Estimating the importance of this effect in situ in pelagic food webs is complicated by the omnivory of many consumers and rapid nutrient recycling. Isolated predator-prey studies inadequately represent this interaction, instead an ecosystem perspective is required. We used seven years of data from large, deep Lake Constance to develop seasonally resolved flux models of the pelagic food web and analyze the balance between energetic and nutrient constraints. The carbon (C) and phosphorus (P) flows were simultaneously quantified and balanced. C represented food quantity/energy. P was taken as a surrogate of food quality, because algal C:P ratios exceeded the threshold above which P limitation of herbivores is predicted by stoichiometric theory throughout summer and autumn. Primary production exceeded bacterial C production by a factor of 3 but autotrophs and bacteria took up approximately equal amounts of P during summer and autumn. As a consequence the C and P supply of suspension-feeding zooplankton was decoupled: Consumer C demands were largely met by phytoplankton whereas P was mostly obtained from bacteria and their protist predators. The degree of consumer P deficiency varied according to supplementation of their algal diet with P-enriched bacteria or bacterivores. This favored the occurrence of omnivores, i.e. organisms that minimized P deficiencies at the cost of enhanced energy limitation. In contrast with previous perceptions, P remineralization during P depleted summer conditions was dominated by bacterivorous flagellates, carnivorous crustaceans and fish, which fed on prey with an elemental composition similar to their own, whereas herbivores contributed only 30\% of P cycling despite their large biomass and C production. Our results suggested a co- limitation of predominantly herbivorous consumers by C and P and a mutual dependence of the two types of deficiency at the individual and system level. This pattern is not specific to pelagic systems but appears to be applicable across ecosystem types.},
  language  = {en}
}