@article{TaalStPourcainThieringetal.2012,
  author    = {Taal, H. Rob and St Pourcain, Beate and Thiering, Elisabeth and Das, Shikta and Mook-Kanamori, Dennis O. and Warrington, Nicole M. and Kaakinen, Marika and Kreiner-Moller, Eskil and Bradfield, Jonathan P. and Freathy, Rachel M. and Geller, Frank and Guxens, Monica and Cousminer, Diana L. and Kerkhof, Marjan and Timpson, Nicholas J. and Ikram, M. Arfan and Beilin, Lawrence J. and Bonnelykke, Klaus and Buxton, Jessica L. and Charoen, Pimphen and Chawes, Bo Lund Krogsgaard and Eriksson, Johan and Evans, David M. and Hofman, Albert and Kemp, John P. and Kim, Cecilia E. and Klopp, Norman and Lahti, Jari and Lye, Stephen J. and McMahon, George and Mentch, Frank D. and Mueller-Nurasyid, Martina and O'Reilly, Paul F. and Prokopenko, Inga and Rivadeneira, Fernando and Steegers, Eric A. P. and Sunyer, Jordi and Tiesler, Carla and Yaghootkar, Hanieh and Breteler, Monique M. B. and Debette, Stephanie and Fornage, Myriam and Gudnason, Vilmundur and Launer, Lenore J. and van der Lugt, Aad and Mosley, Thomas H. and Seshadri, Sudha and Smith, Albert V. and Vernooij, Meike W. and Blakemore, Alexandra I. F. and Chiavacci, Rosetta M. and Feenstra, Bjarke and Fernandez-Banet, Julio and Grant, Struan F. A. and Hartikainen, Anna-Liisa and van der Heijden, Albert J. and Iniguez, Carmen and Lathrop, Mark and McArdle, Wendy L. and Molgaard, Anne and Newnham, John P. and Palmer, Lyle J. and Palotie, Aarno and Pouta, Annneli and Ring, Susan M. and Sovio, Ulla and Standl, Marie and Uitterlinden, Andre G. and Wichmann, H-Erich and Vissing, Nadja Hawwa and DeCarli, Charles and van Duijn, Cornelia M. and McCarthy, Mark I. and Koppelman, Gerard H. and Estivill, Xavier and Hattersley, Andrew T. and Melbye, Mads and Bisgaard, Hans and Pennell, Craig E. and Widen, Elisabeth and Hakonarson, Hakon and Smith, George Davey and Heinrich, Joachim and Jarvelin, Marjo-Riitta and Jaddoe, Vincent W. V. and Adair, Linda S. and Ang, Wei and Atalay, Mustafa and van Beijsterveldt, Toos and Bergen, Nienke and Benke, Kelly and Berry, Diane J. and Bradfield, Jonathan P. and Charoen, Pimphen and Coin, Lachlan and Cousminer, Diana L. and Das, Shikta and Davis, Oliver S. P. and Elliott, Paul and Evans, David M. and Feenstra, Bjarke and Flexeder, Claudia and Frayling, Tim and Freathy, Rachel M. and Gaillard, Romy and Geller, Frank and Groen-Blokhuis, Maria and Goh, Liang-Kee and Guxens, Monica and Haworth, Claire M. A. and Hadley, Dexter and Hebebrand, Johannes and Hinney, Anke and Hirschhorn, Joel N. and Holloway, John W. and Holst, Claus and Hottenga, Jouke Jan and Horikoshi, Momoko and Huikari, Ville and Hypponen, Elina and Iniguez, Carmen and Kaakinen, Marika and Kilpelainen, Tuomas O. and Kirin, Mirna and Kowgier, Matthew and Lakka, Hanna-Maaria and Lange, Leslie A. and Lawlor, Debbie A. and Lehtimaki, Terho and Lewin, Alex and Lindgren, Cecilia and Lindi, Virpi and Maggi, Reedik and Marsh, Julie and Middeldorp, Christel and Millwood, Iona and Mook-Kanamori, Dennis O. and Murray, Jeffrey C. and Nivard, Michel and Nohr, Ellen Aagaard and Ntalla, Ioanna and Oken, Emily and O'Reilly, Paul F. and Palmer, Lyle J. and Panoutsopoulou, Kalliope and Pararajasingham, Jennifer and Prokopenko, Inga and Rodriguez, Alina and Salem, Rany M. and Sebert, Sylvain and Siitonen, Niina and Sovio, Ulla and St Pourcain, Beate and Strachan, David P. and Sunyer, Jordi and Taal, H. Rob and Teo, Yik-Ying and Thiering, Elisabeth and Tiesler, Carla and Uitterlinden, Andre G. and Valcarcel, Beatriz and Warrington, Nicole M. and White, Scott and Willemsen, Gonneke and Yaghootkar, Hanieh and Zeggini, Eleftheria and Boomsma, Dorret I. and Cooper, Cyrus and Estivill, Xavier and Gillman, Matthew and Grant, Struan F. A. and Hakonarson, Hakon and Hattersley, Andrew T. and Heinrich, Joachim and Hocher, Berthold and Jaddoe, Vincent W. V. and Jarvelin, Marjo-Riitta and Lakka, Timo A. and McCarthy, Mark I. and Melbye, Mads and Mohlke, Karen L. and Dedoussis, George V. and Ong, Ken K. and Pearson, Ewan R. and Pennell, Craig E. and Price, Thomas S. and Power, Chris and Raitakari, Olli T. and Saw, Seang-Mei and Scherag, Andre and Simell, Olli and Sorensen, Thorkild I. A. and Timpson, Nicholas J. and Widen, Elisabeth and Wilson, James F. and Ang, Wei and van Beijsterveldt, Toos and Bergen, Nienke and Benke, Kelly and Berry, Diane J. and Bradfield, Jonathan P. and Charoen, Pimphen and Coin, Lachlan and Cousminer, Diana L. and Das, Shikta and Elliott, Paul and Evans, David M. and Frayling, Tim and Freathy, Rachel M. and Gaillard, Romy and Groen-Blokhuis, Maria and Guxens, Monica and Hadley, Dexter and Hottenga, Jouke Jan and Huikari, Ville and Hypponen, Elina and Kaakinen, Marika and Kowgier, Matthew and Lawlor, Debbie A. and Lewin, Alex and Lindgren, Cecilia and Marsh, Julie and Middeldorp, Christel and Millwood, Iona and Mook-Kanamori, Dennis O. and Nivard, Michel and O'Reilly, Paul F. and Palmer, Lyle J. and Prokopenko, Inga and Rodriguez, Alina and Sebert, Sylvain and Sovio, Ulla and St Pourcain, Beate and Standl, Marie and Strachan, David P. and Sunyer, Jordi and Taal, H. Rob and Thiering, Elisabeth and Tiesler, Carla and Uitterlinden, Andre G. and Valcarcel, Beatriz and Warrington, Nicole M. and White, Scott and Willemsen, Gonneke and Yaghootkar, Hanieh and Boomsma, Dorret I. and Estivill, Xavier and Grant, Struan F. A. and Hakonarson, Hakon and Hattersley, Andrew T. and Heinrich, Joachim and Jaddoe, Vincent W. V. and Jarvelin, Marjo-Riitta and McCarthy, Mark I. and Pennell, Craig E. and Power, Chris and Timpson, Nicholas J. and Widen, Elisabeth and Ikram, M. Arfan and Fornage, Myriam and Smith, Albert V. and Seshadri, Sudha and Schmidt, Reinhold and Debette, Stephanie and Vrooman, Henri A. and Sigurdsson, Sigurdur and Ropele, Stefan and Coker, Laura H. and Longstreth, W. T. and Niessen, Wiro J. and DeStefano, Anita L. and Beiser, Alexa and Zijdenbos, Alex P. and Struchalin, Maksim and Jack, Clifford R. and Nalls, Mike A. and Au, Rhoda and Hofman, Albert and Gudnason, Haukur and van der Lugt, Aad and Harris, Tamara B. and Meeks, William M. and Vernooij, Meike W. and van Buchem, Mark A. and Catellier, Diane and Gudnason, Vilmundur and Windham, B. Gwen and Wolf, Philip A. and van Duijn, Cornelia M. and Mosley, Thomas H. and Schmidt, Helena and Launer, Lenore J. and Breteler, Monique M. B. and DeCarli, Charles},
  title     = {Common variants at 12q15 and 12q24 are associated with infant head circumference},
  series = {Nature genetics},
  volume    = {44},
  journal   = {Nature genetics},
  number    = {5},
  publisher = {Nature Publ. Group},
  address   = {New York},
  organization    = {Cohorts Heart Aging Res Genetic Ep, Early Genetics Lifecourse Epidemio, Early Growth Genetics EGG Consorti},
  issn      = {1061-4036},
  doi       = {10.1038/ng.2238},
  pages     = {532 -- +},
  year      = {2012},
  abstract  = {To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 x 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 x 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height(1), their effects on infant head circumference were largely independent of height (P = 3.8 x 10(-7) for rs7980687 and P = 1.3 x 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 x 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume(2), Parkinson's disease and other neurodegenerative diseases(3-5), indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life.},
  language  = {en}
}
@article{HorikoshiYaghootkarMookKanamorietal.2013,
  author    = {Horikoshi, Momoko and Yaghootkar, Hanieh and Mook-Kanamori, Dennis O. and Sovio, Ulla and Taal, H. Rob and Hennig, Branwen J. and Bradfield, Jonathan P. and St Pourcain, Beate and Evans, David M. and Charoen, Pimphen and Kaakinen, Marika and Cousminer, Diana L. and Lehtimaki, Terho and Kreiner-Moller, Eskil and Warrington, Nicole M. and Bustamante, Mariona and Feenstra, Bjarke and Berry, Diane J. and Thiering, Elisabeth and Pfab, Thiemo and Barton, Sheila J. and Shields, Beverley M. and Kerkhof, Marjan and van Leeuwen, Elisabeth M. and Fulford, Anthony J. and Kutalik, Zoltan and Zhao, Jing Hua and den Hoed, Marcel and Mahajan, Anubha and Lindi, Virpi and Goh, Liang-Kee and Hottenga, Jouke-Jan and Wu, Ying and Raitakari, Olli T. and Harder, Marie N. and Meirhaeghe, Aline and Ntalla, Ioanna and Salem, Rany M. and Jameson, Karen A. and Zhou, Kaixin and Monies, Dorota M. and Lagou, Vasiliki and Kirin, Mirna and Heikkinen, Jani and Adair, Linda S. and Alkuraya, Fowzan S. and Al-Odaib, Ali and Amouyel, Philippe and Andersson, Ehm Astrid and Bennett, Amanda J. and Blakemore, Alexandra I. F. and Buxton, Jessica L. and Dallongeville, Jean and Das, Shikta and de Geus, Eco J. C. and Estivill, Xavier and Flexeder, Claudia and Froguel, Philippe and Geller, Frank and Godfrey, Keith M. and Gottrand, Frederic and Groves, Christopher J. and Hansen, Torben and Hirschhorn, Joel N. and Hofman, Albert and Hollegaard, Mads V. and Hougaard, David M. and Hyppoenen, Elina and Inskip, Hazel M. and Isaacs, Aaron and Jorgensen, Torben and Kanaka-Gantenbein, Christina and Kemp, John P. and Kiess, Wieland and Kilpelainen, Tuomas O. and Klopp, Norman and Knight, Bridget A. and Kuzawa, Christopher W. and McMahon, George and Newnham, John P. and Niinikoski, Harri and Oostra, Ben A. and Pedersen, Louise and Postma, Dirkje S. and Ring, Susan M. and Rivadeneira, Fernando and Robertson, Neil R. and Sebert, Sylvain and Simell, Olli and Slowinski, Torsten and Tiesler, Carla M. T. and Toenjes, Anke and Vaag, Allan and Viikari, Jorma S. and Vink, Jacqueline M. and Vissing, Nadja Hawwa and Wareham, Nicholas J. and Willemsen, Gonneke and Witte, Daniel R. and Zhang, Haitao and Zhao, Jianhua and Wilson, James F. and Stumvoll, Michael and Prentice, Andrew M. and Meyer, Brian F. and Pearson, Ewan R. and Boreham, Colin A. G. and Cooper, Cyrus and Gillman, Matthew W. and Dedoussis, George V. and Moreno, Luis A. and Pedersen, Oluf and Saarinen, Maiju and Mohlke, Karen L. and Boomsma, Dorret I. and Saw, Seang-Mei and Lakka, Timo A. and Koerner, Antje and Loos, Ruth J. F. and Ong, Ken K. and Vollenweider, Peter and van Duijn, Cornelia M. and Koppelman, Gerard H. and Hattersley, Andrew T. and Holloway, John W. and Hocher, Berthold and Heinrich, Joachim and Power, Chris and Melbye, Mads and Guxens, Monica and Pennell, Craig E. and Bonnelykke, Klaus and Bisgaard, Hans and Eriksson, Johan G. and Widen, Elisabeth and Hakonarson, Hakon and Uitterlinden, Andre G. and Pouta, Anneli and Lawlor, Debbie A. and Smith, George Davey and Frayling, Timothy M. and McCarthy, Mark I. and Grant, Struan F. A. and Jaddoe, Vincent W. V. and Jarvelin, Marjo-Riitta and Timpson, Nicholas J. and Prokopenko, Inga and Freathy, Rachel M.},
  title     = {New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism},
  series = {Nature genetics},
  volume    = {45},
  journal   = {Nature genetics},
  number    = {1},
  publisher = {Nature Publ. Group},
  address   = {New York},
  organization    = {MAGIC, Early Growth Genetics EGG},
  issn      = {1061-4036},
  doi       = {10.1038/ng.2477},
  pages     = {76 -- U115},
  year      = {2013},
  abstract  = {Birth weight within the normal range is associated with a variety of adult-onset diseases, but the mechanisms behind these associations are poorly understood(1). Previous genome-wide association studies of birth weight identified a variant in the ADCY5 gene associated both with birth weight and type 2 diabetes and a second variant, near CCNL1, with no obvious link to adult traits(2). In an expanded genome-wide association metaanalysis and follow-up study of birth weight (of up to 69,308 individuals of European descent from 43 studies), we have now extended the number of loci associated at genome-wide significance to 7, accounting for a similar proportion of variance as maternal smoking. Five of the loci are known to be associated with other phenotypes: ADCY5 and CDKAL1 with type 2 diabetes, ADRB1 with adult blood pressure and HMGA2 and LCORL with adult height. Our findings highlight genetic links between fetal growth and postnatal growth and metabolism.},
  language  = {en}
}
@article{WarringtonBeaumontHorikoshietal.2019,
  author    = {Warrington, Nicole and Beaumont, Robin and Horikoshi, Momoko and Day, Felix R. and Helgeland, {\O}yvind and Laurin, Charles and Bacelis, Jonas and Peng, Shouneng and Hao, Ke and Feenstra, Bjarke and Wood, Andrew R. and Mahajan, Anubha and Tyrrell, Jessica and Robertson, Neil R. and Rayner, N. William and Qiao, Zhen and Moen, Gunn-Helen and Vaudel, Marc and Marsit, Carmen and Chen, Jia and Nodzenski, Michael and Schnurr, Theresia M. and Zafarmand, Mohammad Hadi and Bradfield, Jonathan P. and Grarup, Niels and Kooijman, Marjolein N. and Li-Gao, Ruifang and Geller, Frank and Ahluwalia, Tarunveer Singh and Paternoster, Lavinia and Rueedi, Rico and Huikari, Ville and Hottenga, Jouke-Jan and Lyytik{\"a}inen, Leo-Pekka and Cavadino, Alana and Metrustry, Sarah and Cousminer, Diana L. and Wu, Ying and Thiering, Elisabeth Paula and Wang, Carol A. and Have, Christian Theil and Vilor-Tejedor, Natalia and Joshi, Peter K. and Painter, Jodie N. and Ntalla, Ioanna and Myhre, Ronny and Pitk{\"a}nen, Niina and van Leeuwen, Elisabeth M. and Joro, Raimo and Lagou, Vasiliki and Richmond, Rebecca C. and Espinosa, Ana and Barton, Sheila J. and Inskip, Hazel M. and Holloway, John W. and Santa-Marina, Loreto and Estivill, Xavier and Ang, Wei and Marsh, Julie A. and Reichetzeder, Christoph and Marullo, Letizia and Hocher, Berthold and Lunetta, Kathryn L. and Murabito, Joanne M. and Relton, Caroline L. and Kogevinas, Manolis and Chatzi, Leda and Allard, Catherine and Bouchard, Luigi and Hivert, Marie-France and Zhang, Ge and Muglia, Louis J. and Heikkinen, Jani and Morgen, Camilla S. and van Kampen, Antoine H. C. and van Schaik, Barbera D. C. and Mentch, Frank D. and Langenberg, Claudia and Scott, Robert A. and Zhao, Jing Hua and Hemani, Gibran and Ring, Susan M. and Bennett, Amanda J. and Gaulton, Kyle J. and Fernandez-Tajes, Juan and van Zuydam, Natalie R. and Medina-Gomez, Carolina and de Haan, Hugoline G. and Rosendaal, Frits R. and Kutalik, Zolt{\´a}n and Marques-Vidal, Pedro and Das, Shikta and Willemsen, Gonneke and Mbarek, Hamdi and M{\"u}ller-Nurasyid, Martina and Standl, Marie and Appel, Emil V. R. and Fonvig, Cilius Esmann and Trier, Caecilie and van Beijsterveldt, Catharina E. M. and Murcia, Mario and Bustamante, Mariona and Bon{\`a}s-Guarch, S{\´i}lvia and Hougaard, David M. and Mercader, Josep M. and Linneberg, Allan and Schraut, Katharina E. and Lind, Penelope A. and Medland, Sarah Elizabeth and Shields, Beverley M. and Knight, Bridget A. and Chai, Jin-Fang and Panoutsopoulou, Kalliope and Bartels, Meike and S{\´a}nchez, Friman and Stokholm, Jakob and Torrents, David and Vinding, Rebecca K. and Willems, Sara M. and Atalay, Mustafa and Chawes, Bo L. and Kovacs, Peter and Prokopenko, Inga and Tuke, Marcus A. and Yaghootkar, Hanieh and Ruth, Katherine S. and Jones, Samuel E. and Loh, Po-Ru and Murray, Anna and Weedon, Michael N. and T{\"o}njes, Anke and Stumvoll, Michael and Michaelsen, Kim Fleischer and Eloranta, Aino-Maija and Lakka, Timo A. and van Duijn, Cornelia M. and Kiess, Wieland and Koerner, Antje and Niinikoski, Harri and Pahkala, Katja and Raitakari, Olli T. and Jacobsson, Bo and Zeggini, Eleftheria and Dedoussis, George V. and Teo, Yik-Ying and Saw, Seang-Mei and Montgomery, Grant W. and Campbell, Harry and Wilson, James F. and Vrijkotte, Tanja G. M. and Vrijheid, Martine and de Geus, Eco J. C. N. and Hayes, M. Geoffrey and Kadarmideen, Haja N. and Holm, Jens-Christian and Beilin, Lawrence J. and Pennell, Craig E. and Heinrich, Joachim and Adair, Linda S. and Borja, Judith B. and Mohlke, Karen L. and Eriksson, Johan G. and Widen, Elisabeth E. and Hattersley, Andrew T. and Spector, Tim D. and Kaehoenen, Mika and Viikari, Jorma S. and Lehtimaeki, Terho and Boomsma, Dorret I. and Sebert, Sylvain and Vollenweider, Peter and Sorensen, Thorkild I. A. and Bisgaard, Hans and Bonnelykke, Klaus and Murray, Jeffrey C. and Melbye, Mads and Nohr, Ellen A. and Mook-Kanamori, Dennis O. and Rivadeneira, Fernando and Hofman, Albert and Felix, Janine F. and Jaddoe, Vincent W. V. and Hansen, Torben and Pisinger, Charlotta and Vaag, Allan A. and Pedersen, Oluf and Uitterlinden, Andre G. and Jarvelin, Marjo-Riitta and Power, Christine and Hypponen, Elina and Scholtens, Denise M. and Lowe, William L. and Smith, George Davey and Timpson, Nicholas J. and Morris, Andrew P. and Wareham, Nicholas J. and Hakonarson, Hakon and Grant, Struan F. A. and Frayling, Timothy M. and Lawlor, Debbie A. and Njolstad, Pal R. and Johansson, Stefan and Ong, Ken K. and McCarthy, Mark I. and Perry, John R. B. and Evans, David M. and Freathy, Rachel M.},
  title     = {Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors},
  series = {Nature genetics},
  volume    = {51},
  journal   = {Nature genetics},
  number    = {5},
  publisher = {Nature Publ. Group},
  address   = {New York},
  organization    = {EGG Consortium},
  issn      = {1061-4036},
  pages     = {804 -- +},
  year      = {2019},
  abstract  = {Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.},
  language  = {en}
}
@article{MiddeldorpMahajanHorikoshietal.2019,
  author    = {Middeldorp, Christel M. and Mahajan, Anubha and Horikoshi, Momoko and Robertson, Neil R. and Beaumont, Robin N. and Bradfield, Jonathan P. and Bustamante, Mariona and Cousminer, Diana L. and Day, Felix R. and De Silva, N. Maneka and Guxens, Monica and Mook-Kanamori, Dennis O. and St Pourcain, Beate and Warrington, Nicole M. and Adair, Linda S. and Ahlqvist, Emma and Ahluwalia, Tarunveer Singh and Almgren, Peter and Ang, Wei and Atalay, Mustafa and Auvinen, Juha and Bartels, Meike and Beckmann, Jacques S. and Bilbao, Jose Ramon and Bond, Tom and Borja, Judith B. and Cavadino, Alana and Charoen, Pimphen and Chen, Zhanghua and Coin, Lachlan and Cooper, Cyrus and Curtin, John A. and Custovic, Adnan and Das, Shikta and Davies, Gareth E. and Dedoussis, George V. and Duijts, Liesbeth and Eastwood, Peter R. and Eliasen, Anders U. and Elliott, Paul and Eriksson, Johan G. and Estivill, Xavier and Fadista, Joao and Fedko, Iryna O. and Frayling, Timothy M. and Gaillard, Romy and Gauderman, W. James and Geller, Frank and Gilliland, Frank and Gilsanz, Vincente and Granell, Raquel and Grarup, Niels and Groop, Leif and Hadley, Dexter and Hakonarson, Hakon and Hansen, Torben and Hartman, Catharina A. and Hattersley, Andrew T. and Hayes, M. Geoffrey and Hebebrand, Johannes and Heinrich, Joachim and Helgeland, Oyvind and Henders, Anjali K. and Henderson, John and Henriksen, Tine B. and Hirschhorn, Joel N. and Hivert, Marie-France and Hocher, Berthold and Holloway, John W. and Holt, Patrick and Hottenga, Jouke-Jan and Hypponen, Elina and Iniguez, Carmen and Johansson, Stefan and Jugessur, Astanand and Kahonen, Mika and Kalkwarf, Heidi J. and Kaprio, Jaakko and Karhunen, Ville and Kemp, John P. and Kerkhof, Marjan and Koppelman, Gerard H. and Korner, Antje and Kotecha, Sailesh and Kreiner-Moller, Eskil and Kulohoma, Benard and Kumar, Ashish and Kutalik, Zoltan and Lahti, Jari and Lappe, Joan M. and Larsson, Henrik and Lehtimaki, Terho and Lewin, Alexandra M. and Li, Jin and Lichtenstein, Paul and Lindgren, Cecilia M. and Lindi, Virpi and Linneberg, Allan and Liu, Xueping and Liu, Jun and Lowe, William L. and Lundstrom, Sebastian and Lyytikainen, Leo-Pekka and Ma, Ronald C. W. and Mace, Aurelien and Magi, Reedik and Magnus, Per and Mamun, Abdullah A. and Mannikko, Minna and Martin, Nicholas G. and Mbarek, Hamdi and McCarthy, Nina S. and Medland, Sarah E. and Melbye, Mads and Melen, Erik and Mohlke, Karen L. and Monnereau, Claire and Morgen, Camilla S. and Morris, Andrew P. and Murray, Jeffrey C. and Myhre, Ronny and Najman, Jackob M. and Nivard, Michel G. and Nohr, Ellen A. and Nolte, Ilja M. and Ntalla, Ioanna and Oberfield, Sharon E. and Oken, Emily and Oldehinkel, Albertine J. and Pahkala, Katja and Palviainen, Teemu and Panoutsopoulou, Kalliope and Pedersen, Oluf and Pennell, Craig E. and Pershagen, Goran and Pitkanen, Niina and Plomin, Robert and Power, Christine and Prasad, Rashmi B. and Prokopenko, Inga and Pulkkinen, Lea and Raikkonen, Katri and Raitakari, Olli T. and Reynolds, Rebecca M. and Richmond, Rebecca C. and Rivadeneira, Fernando and Rodriguez, Alina and Rose, Richard J. and Salem, Rany and Santa-Marina, Loreto and Saw, Seang-Mei and Schnurr, Theresia M. and Scott, James G. and Selzam, Saskia and Shepherd, John A. and Simpson, Angela and Skotte, Line and Sleiman, Patrick M. A. and Snieder, Harold and Sorensen, Thorkild I. A. and Standl, Marie and Steegers, Eric A. P. and Strachan, David P. and Straker, Leon and Strandberg, Timo and Taylor, Michelle and Teo, Yik-Ying and Thiering, Elisabeth and Torrent, Maties and Tyrrell, Jessica and Uitterlinden, Andre G. and van Beijsterveldt, Toos and van der Most, Peter J. and van Duijn, Cornelia M. and Viikari, Jorma and Vilor-Tejedor, Natalia and Vogelezang, Suzanne and Vonk, Judith M. and Vrijkotte, Tanja G. M. and Vuoksimaa, Eero and Wang, Carol A. and Watkins, William J. and Wichmann, H-Erich and Willemsen, Gonneke and Williams, Gail M. and Wilson, James F. and Wray, Naomi R. and Xu, Shujing and Xu, Cheng-Jian and Yaghootkar, Hanieh and Yi, Lu and Zafarmand, Mohammad Hadi and Zeggini, Eleftheria and Zemel, Babette S. and Hinney, Anke and Lakka, Timo A. and Whitehouse, Andrew J. O. and Sunyer, Jordi and Widen, Elisabeth E. and Feenstra, Bjarke and Sebert, Sylvain and Jacobsson, Bo and Njolstad, Pal R. and Stoltenberg, Camilla and Smith, George Davey and Lawlor, Debbie A. and Paternoster, Lavinia and Timpson, Nicholas J. and Ong, Ken K. and Bisgaard, Hans and Bonnelykke, Klaus and Jaddoe, Vincent W. V. and Tiemeier, Henning and Jarvelin, Marjo-Riitta and Evans, David M. and Perry, John R. B. and Grant, Struan F. A. and Boomsma, Dorret I. and Freathy, Rachel M. and McCarthy, Mark I. and Felix, Janine F.},
  title     = {The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia},
  series = {European journal of epidemiology},
  volume    = {34},
  journal   = {European journal of epidemiology},
  number    = {3},
  publisher = {Springer},
  address   = {Dordrecht},
  organization    = {EArly Genetics Lifecourse EGG Consortium EGG Membership EAGLE Membership},
  issn      = {0393-2990},
  doi       = {10.1007/s10654-019-00502-9},
  pages     = {279 -- 300},
  year      = {2019},
  abstract  = {The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.},
  language  = {en}
}
@article{IkramFornageSmithetal.2012,
  author    = {Ikram, M. Arfan and Fornage, Myriam and Smith, Albert V. and Seshadri, Sudha and Schmidt, Reinhold and Debette, Stephanie and Vrooman, Henri A. and Sigurdsson, Sigurdur and Ropele, Stefan and Taal, H. Rob and Mook-Kanamori, Dennis O. and Coker, Laura H. and Longstreth, W. T. and Niessen, Wiro J. and DeStefano, Anita L. and Beiser, Alexa and Zijdenbos, Alex P. and Struchalin, Maksim and Jack, Clifford R. and Rivadeneira, Fernando and Uitterlinden, Andre G. and Knopman, David S. and Hartikainen, Anna-Liisa and Pennell, Craig E. and Thiering, Elisabeth and Steegers, Eric A. P. and Hakonarson, Hakon and Heinrich, Joachim and Palmer, Lyle J. and Jarvelin, Marjo-Riitta and McCarthy, Mark I. and Grant, Struan F. A. and St Pourcain, Beate and Timpson, Nicholas J. and Smith, George Davey and Sovio, Ulla and Nalls, Mike A. and Au, Rhoda and Hofman, Albert and Gudnason, Haukur and van der Lugt, Aad and Harris, Tamara B. and Meeks, William M. and Vernooij, Meike W. and van Buchem, Mark A. and Catellier, Diane and Jaddoe, Vincent W. V. and Gudnason, Vilmundur and Windham, B. Gwen and Wolf, Philip A. and van Duijn, Cornelia M. and Mosley, Thomas H. and Schmidt, Helena and Launer, Lenore J. and Breteler, Monique M. B. and DeCarli, Charles and Adair, Linda S. and Ang, Wei and Atalay, Mustafa and vanBeijsterveldt, Toos and Bergen, Nienke and Benke, Kelly and Berry, Diane J. and Coin, Lachlan and Davis, Oliver S. P. and Elliott, Paul and Flexeder, Claudia and Frayling, Tim and Gaillard, Romy and Groen-Blokhuis, Maria and Goh, Liang-Kee and Haworth, Claire M. A. and Hadley, Dexter and Hebebrand, Johannes and Hinney, Anke and Hirschhorn, Joel N. and Holloway, John W. and Holst, Claus and Hottenga, Jouke Jan and Horikoshi, Momoko and Huikari, Ville and Hypponen, Elina and Kilpelainen, Tuomas O. and Kirin, Mirna and Kowgier, Matthew and Lakka, Hanna-Maaria and Lange, Leslie A. and Lawlor, Debbie A. and Lehtimaki, Terho and Lewin, Alex and Lindgren, Cecilia and Lindi, Virpi and Maggi, Reedik and Marsh, Julie and Middeldorp, Christel and Millwood, Iona and Murray, Jeffrey C. and Nivard, Michel and Nohr, Ellen Aagaard and Ntalla, Ioanna and Oken, Emily and Panoutsopoulou, Kalliope and Pararajasingham, Jennifer and Rodriguez, Alina and Salem, Rany M. and Sebert, Sylvain and Siitonen, Niina and Strachan, David P. and Teo, Yik-Ying and Valcarcel, Beatriz and Willemsen, Gonneke and Zeggini, Eleftheria and Boomsma, Dorret I. and Cooper, Cyrus and Gillman, Matthew and Hocher, Berthold and Lakka, Timo A. and Mohlke, Karen L. and Dedoussis, George V. and Ong, Ken K. and Pearson, Ewan R. and Price, Thomas S. and Power, Chris and Raitakari, Olli T. and Saw, Seang-Mei and Scherag, Andre and Simell, Olli and Sorensen, Thorkild I. A. and Wilson, James F.},
  title     = {Common variants at 6q22 and 17q21 are associated with intracranial volume},
  series = {Nature genetics},
  volume    = {44},
  journal   = {Nature genetics},
  number    = {5},
  publisher = {Nature Publ. Group},
  address   = {New York},
  organization    = {Early Growth Genetics EGG Consorti, Cohorts Heart Aging Res Genomic Ep},
  issn      = {1061-4036},
  doi       = {10.1038/ng.2245},
  pages     = {539 -- +},
  year      = {2012},
  abstract  = {During aging, intracranial volume remains unchanged and represents maximally attained brain size, while various interacting biological phenomena lead to brain volume loss. Consequently, intracranial volume and brain volume in late life reflect different genetic influences. Our genome-wide association study (GWAS) in 8,175 community-dwelling elderly persons did not reveal any associations at genome-wide significance (P < 5 x 10(-8)) for brain volume. In contrast, intracranial volume was significantly associated with two loci: rs4273712 (P = 3.4 x 10(-11)), a known height-associated locus on chromosome 6q22, and rs9915547 (P = 1.5 x 10(-12)), localized to the inversion on chromosome 17q21. We replicated the associations of these loci with intracranial volume in a separate sample of 1,752 elderly persons (P = 1.1 x 10(-3) for 6q22 and 1.2 x 10(-3) for 17q21). Furthermore, we also found suggestive associations of the 17q21 locus with head circumference in 10,768 children (mean age of 14.5 months). Our data identify two loci associated with head size, with the inversion at 17q21 also likely to be involved in attaining maximal brain size.},
  language  = {en}
}
@article{JanssenArhonditsisBeusenetal.2015,
  author    = {Janssen, Annette B. G. and Arhonditsis, George B. and Beusen, Arthur and Bolding, Karsten and Bruce, Louise and Bruggeman, Jorn and Couture, Raoul-Marie and Downing, Andrea S. and Elliott, J. Alex and Frassl, Marieke A. and Gal, Gideon and Gerla, Daan J. and Hipsey, Matthew R. and Hu, Fenjuan and Ives, Stephen C. and Janse, Jan H. and Jeppesen, Erik and Joehnk, Klaus D. and Kneis, David and Kong, Xiangzhen and Kuiper, Jan J. and Lehmann, Moritz K. and Lemmen, Carsten and Oezkundakci, Deniz and Petzoldt, Thomas and Rinke, Karsten and Robson, Barbara J. and Sachse, Rene and Schep, Sebastiaan A. and Schmid, Martin and Scholten, Huub and Teurlincx, Sven and Trolle, Dennis and Troost, Tineke A. and Van Dam, Anne A. and Van Gerven, Luuk P. A. and Weijerman, Mariska and Wells, Scott A. and Mooij, Wolf M.},
  title     = {Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective},
  series = {Aquatic ecology : the international forum covering research in freshwater and marine environments},
  volume    = {49},
  journal   = {Aquatic ecology : the international forum covering research in freshwater and marine environments},
  number    = {4},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1386-2588},
  doi       = {10.1007/s10452-015-9544-1},
  pages     = {513 -- 548},
  year      = {2015},
  abstract  = {Here, we present a community perspective on how to explore, exploit and evolve the diversity in aquatic ecosystem models. These models play an important role in understanding the functioning of aquatic ecosystems, filling in observation gaps and developing effective strategies for water quality management. In this spirit, numerous models have been developed since the 1970s. We set off to explore model diversity by making an inventory among 42 aquatic ecosystem modellers, by categorizing the resulting set of models and by analysing them for diversity. We then focus on how to exploit model diversity by comparing and combining different aspects of existing models. Finally, we discuss how model diversity came about in the past and could evolve in the future. Throughout our study, we use analogies from biodiversity research to analyse and interpret model diversity. We recommend to make models publicly available through open-source policies, to standardize documentation and technical implementation of models, and to compare models through ensemble modelling and interdisciplinary approaches. We end with our perspective on how the field of aquatic ecosystem modelling might develop in the next 5-10 years. To strive for clarity and to improve readability for non-modellers, we include a glossary.},
  language  = {en}
}
@article{YeKurthHospodarskyetal.2018,
  author    = {Ye, S. -Y. and Kurth, William S. and Hospodarsky, George B. and Persoon, Ann M. and Gurnett, Don A. and Morooka, Michiko and Wahlund, Jan-Erik and Hsu, Hsiang-Wen and Seiss, Martin and Srama, Ralf},
  title     = {Cassini RPWS dust observation near the Janus/Epimetheus orbit},
  series = {Journal of geophysical research : Space physics},
  volume    = {123},
  journal   = {Journal of geophysical research : Space physics},
  number    = {6},
  publisher = {American Geophysical Union},
  address   = {Washington},
  issn      = {2169-9380},
  doi       = {10.1029/2017JA025112},
  pages     = {4952 -- 4960},
  year      = {2018},
  abstract  = {During the Ring Grazing orbits near the end of Cassini mission, the spacecraft crossed the equatorial plane near the orbit of Janus/Epimetheus (similar to 2.5 Rs). This region is populated with dust particles that can be detected by the Radio and Plasma Wave Science (RPWS) instrument via an electric field antenna signal. Analysis of the voltage waveforms recorded on the RPWS antennas provides estimations of the density and size distribution of the dust particles. Measured RPWS profiles, fitted with Lorentzian functions, are shown to be mostly consistent with the Cosmic Dust Analyzer, the dedicated dust instrument on board Cassini. The thickness of the dusty ring varies between 600 and 1,000 km. The peak location shifts north and south within 100 km of the ring plane, likely a function of the precession phase of Janus orbit.},
  language  = {en}
}
@article{YeKurthHospodarskyetal.2018,
  author    = {Ye, Shengyi and Kurth, William S. and Hospodarsky, George B. and Persoon, Ann M. and Sulaiman, Ali H. and Gurnett, Don A. and Morooka, Michiko and Wahlund, Jan-Erik and Hsu, Hsiang-Wen and Sternovsky, Zoltan and Wang, Xu and Horanyi, M. and Seiss, Martin and Srama, Ralf},
  title     = {Dust Observations by the Radio and Plasma Wave Science Instrument During},
  series = {Geophysical research letters},
  volume    = {45},
  journal   = {Geophysical research letters},
  number    = {19},
  publisher = {American Geophysical Union},
  address   = {Washington},
  issn      = {0094-8276},
  doi       = {10.1029/2018GL078059},
  pages     = {10101 -- 10109},
  year      = {2018},
  abstract  = {Plain Language Summary Cassini flew through the gap between Saturn and its rings for 22 times before plunging into the atmosphere of Saturn, ending its 20-year mission. The radio and plasma waves instrument on board Cassini helped quantify the dust hazard in this previously unexplored region. The measured density of large dust particles was much lower than expected, allowing high-value science observations during the subsequent Grand Finale orbits.},
  language  = {en}
}
@misc{MooijTrolleJeppesenetal.2010,
  author    = {Mooij, Wolf M. and Trolle, Dennis and Jeppesen, Erik and Arhonditsis, George B. and Belolipetsky, Pavel V. and Chitamwebwa, Deonatus B. R. and Degermendzhy, Andrey G. and DeAngelis, Donald L. and Domis, Lisette Nicole de Senerpont and Downing, Andrea S. and Elliott, J. Alex and Fragoso Jr., Carlos Ruberto and Gaedke, Ursula and Genova, Svetlana N. and Gulati, Ramesh D. and H{\aa}kanson, Lars and Hamilton, David P. and Hipsey, Matthew R. and 't Hoen, Jochem and H{\"u}lsmann, Stephan and Los, F. Hans and Makler-Pick, Vardit and Petzoldt, Thomas and Prokopkin, Igor G. and Rinke, Karsten and Schep, Sebastiaan A. and Tominaga, Koji and Van Dam, Anne A. and Van Nes, Egbert H. and Wells, Scott A. and Janse, Jan H.},
  title     = {Challenges and opportunities for integrating lake ecosystem modelling approaches},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {1326},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-42983},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-429839},
  pages     = {35},
  year      = {2010},
  abstract  = {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.},
  language  = {en}
}
@article{MooijTrolleJeppesenetal.2010,
  author    = {Mooij, Wolf M. and Trolle, Dennis and Jeppesen, Erik and Arhonditsis, George B. and Belolipetsky, Pavel V. and Chitamwebwa, Deonatus B. R. and Degermendzhy, Andrey G. and DeAngelis, Donald L. and Domis, Lisette Nicole de Senerpont and Downing, Andrea S. and Elliott, J. Alex and Fragoso Jr, Carlos Ruberto and Gaedke, Ursula and Genova, Svetlana N. and Gulati, Ramesh D. and H{\aa}kanson, Lars and Hamilton, David P. and Hipsey, Matthew R. and 't Hoen, Jochem and H{\"u}lsmann, Stephan and Los, F. Hans and Makler-Pick, Vardit and Petzoldt, Thomas and Prokopkin, Igor G. and Rinke, Karsten and Schep, Sebastiaan A. and Tominaga, Koji and Van Dam, Anne A. and Van Nes, Egbert H. and Wells, Scott A. and Janse, Jan H.},
  title     = {Challenges and opportunities for integrating lake ecosystem modelling approaches},
  series = {Aquatic ecology},
  volume    = {44},
  journal   = {Aquatic ecology},
  publisher = {Springer Science + Business Media B.V.},
  address   = {Dordrecht},
  issn      = {1573-5125},
  doi       = {10.1007/s10452-010-9339-3},
  pages     = {633 -- 667},
  year      = {2010},
  abstract  = {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.},
  language  = {en}
}
@article{DeFrenneRodriguezSanchezCoomesetal.2013,
  author    = {De Frenne, Pieter and Rodriguez-Sanchez, Francisco and Coomes, David Anthony and B{\"a}ten, Lander and Verstr{\"a}ten, Gorik and Vellend, Mark and Bernhardt-R{\"o}mermann, Markus and Brown, Carissa D. and Brunet, J{\"o}rg and Cornelis, Johnny and Decocq, Guillaume M. and Dierschke, Hartmut and Eriksson, Ove and Gilliam, Frank S. and Hedl, Radim and Heinken, Thilo and Hermy, Martin and Hommel, Patrick and Jenkins, Michael A. and Kelly, Daniel L. and Kirby, Keith J. and Mitchell, Fraser J. G. and Naaf, Tobias and Newman, Miles and Peterken, George and Petrik, Petr and Schultz, Jan and Sonnier, Gregory and Van Calster, Hans and Waller, Donald M. and Walther, Gian-Reto and White, Peter S. and Woods, Kerry D. and Wulf, Monika and Graae, Bente Jessen and Verheyen, Kris},
  title     = {Microclimate moderates plant responses to macroclimate warming},
  series = {Proceedings of the National Academy of Sciences of the United States of America},
  volume    = {110},
  journal   = {Proceedings of the National Academy of Sciences of the United States of America},
  number    = {46},
  publisher = {National Acad. of Sciences},
  address   = {Washington},
  issn      = {0027-8424},
  doi       = {10.1073/pnas.1311190110},
  pages     = {18561 -- 18565},
  year      = {2013},
  abstract  = {Recent global warming is acting across marine, freshwater, and terrestrial ecosystems to favor species adapted to warmer conditions and/or reduce the abundance of cold-adapted organisms (i.e., "thermophilization" of communities). Lack of community responses to increased temperature, however, has also been reported for several taxa and regions, suggesting that "climatic lags" may be frequent. Here we show that microclimatic effects brought about by forest canopy closure can buffer biotic responses to macroclimate warming, thus explaining an apparent climatic lag. Using data from 1,409 vegetation plots in European and North American temperate forests, each surveyed at least twice over an interval of 12-67 y, we document significant thermophilization of ground-layer plant communities. These changes reflect concurrent declines in species adapted to cooler conditions and increases in species adapted to warmer conditions. However, thermophilization, particularly the increase of warm-adapted species, is attenuated in forests whose canopies have become denser, probably reflecting cooler growing-season ground temperatures via increased shading. As standing stocks of trees have increased in many temperate forests in recent decades, local microclimatic effects may commonly be moderating the impacts of macroclimate warming on forest understories. Conversely, increases in harvesting woody biomass-e.g., for bioenergy-may open forest canopies and accelerate thermophilization of temperate forest biodiversity.},
  language  = {en}
}
@article{AmbergausdemMooreBekketal.2022,
  author    = {Amberg, Maximilian and aus dem Moore, Nils and Bekk, Anke and Bergmann, Tobias and Edenhofer, Ottmar and Flachsland, Christian and George, Jan and Haywood, Luke and Heinemann, Maik and Held, Anne and Kalkuhl, Matthias and Kellner, Maximilian and Koch, Nicolas and Luderer, Gunnar and Meyer, Henrika and Nikodinoska, Dragana and Pahle, Michael and Roolfs, Christina and Schill, Wolf-Peter},
  title     = {Reformoptionen f{\"u}r ein nachhaltiges Steuer- und Abgabensystem},
  series = {Perspektiven der Wirtschaftspolitik},
  volume    = {23},
  journal   = {Perspektiven der Wirtschaftspolitik},
  number    = {3},
  publisher = {De Gruyter},
  address   = {Berlin},
  issn      = {1465-6493},
  doi       = {10.1515/pwp-2021-0051},
  pages     = {165 -- 199},
  year      = {2022},
  abstract  = {Steuern und Abgaben auf Produkte oder Verbrauch mit gesellschaftlichen Folgekosten (externe Kosten) - sogenannte Pigou- oder Lenkungssteuern - sind ein gesellschaftliches „Win-Win-Instrument". Sie verbessern die Wohlfahrt und sch{\"u}tzen gleichzeitig die Umwelt und das Klima. Dies wird erreicht, indem umweltsch{\"a}digende Aktivit{\"a}ten einen Preis bekommen, der m{\"o}glichst exakt der H{\"o}he des Schadens entspricht. Eine konsequente Bepreisung der externen Kosten nach diesem Prinzip k{\"o}nnte in Deutschland erhebliche zus{\"a}tzliche Einnahmen erbringen: Basierend auf bisherigen Studien zu externen Kosten w{\"a}ren zus{\"a}tzliche Einnahmen in der Gr{\"o}ßenordnung von 348 bis 564 Milliarden Euro pro Jahr (44 bis 71 Prozent der gesamten Steuereinnahmen) m{\"o}glich. Die Autoren warnen allerdings, dass die Bezifferung der externen Kosten mit erheblichen Unsicherheiten verbunden ist. Damit Lenkungssteuern und -abgaben ihre positiven Lenkungs- und Wohlstandseffekte voll entfalten k{\"o}nnen, seien zudem institutionelle Reformen notwendig.},
  language  = {de}
}
@article{BreuerWillemsBormannetal.2009,
  author    = {Breuer, Lutz and Willems, Patrick and Bormann, Helge and Bronstert, Axel and Croke, Barry and Frede, Hans Georg and Gr{\"a}ff, Thomas and Hubrechts, Lode and Kite, Geoffrey and Lanini, Jordan and Leavesley, George and Lettenmaier, Dennis P. and Lindstroem, Goeran and Seibert, Jan and Sivapalan, Mayuran and Viney, Neil R.},
  title     = {Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) : I: model intercomparison with current land use},
  issn      = {0309-1708},
  doi       = {10.1016/j.advwatres.2008.10.003},
  year      = {2009},
  abstract  = {This paper introduces the project on 'Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM)' that aims at investigating the envelope of predictions on changes in hydrological fluxes due to land use change. As part of a series of four papers, this paper outlines the motivation and setup of LUCHEM, and presents a model intercomparison for the present-day simulation results. Such an intercomparison provides a valuable basis to investigate the effects of different model structures on model predictions and paves the ground for the analysis of the performance of multi-model ensembles and the reliability of the scenario predictions in companion papers. in this study, we applied a set of 10 lumped, semi-lumped and fully distributed hydrological models that have been previously used in land use change studies to the low mountainous Dill catchment. Germany. Substantial differences in model performance were observed with Nash-Sutcliffe efficiencies ranging from 0.53 to 0.92. Differences in model performance were attributed to (1) model input data, (2) model calibration and (3) the physical basis of the models. The models were applied with two sets of input data: an original and a homogenized data set. This homogenization of precipitation, temperature and leaf area index was performed to reduce the variation between the models. Homogenization improved the comparability of model simulations and resulted in a reduced average bias, although some variation in model data input remained. The effect of the physical differences between models on the long-term water balance was mainly attributed to differences in how models represent evapotranspiration. Semi-lumped and lumped conceptual models slightly outperformed the fully distributed and physically based models. This was attributed to the automatic model calibration typically used for this type of models. Overall, however, we conclude that there was no superior model if several measures of model performance are considered and that all models are suitable to participate in further multi-model ensemble set-ups and land use change scenario investigations.},
  language  = {en}
}
@article{BreuerBormannBronstertetal.2009,
  author    = {Breuer, Lutz and Bormann, Helge and Bronstert, Axel and Croke, Barry F. W. and Frede, Hans-Georg and Gr{\"a}ff, Thomas and Hubrechts, Lode and Kite, Geoffrey and Lanini, Jordan and Leavesley, George and Lettenmaier, Dennis P. and Lindstroem, Goeran and Seibert, Jan and Sivapalan, Mayuran and Viney, Neil R. and Willems, Patrick},
  title     = {Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III : scenario analysis},
  issn      = {0309-1708},
  doi       = {10.1016/j.advwatres.2008.06.009},
  year      = {2009},
  abstract  = {An ensemble of 10 hydrological models was applied to the same set of land use change scenarios. There was general agreement about the direction of changes in the mean annual discharge and 90\% discharge percentile predicted by the ensemble members, although a considerable range in the magnitude of predictions for the scenarios and catchments under consideration was obvious. Differences in the magnitude of the increase were attributed to the different mean annual actual evapotranspiration rates for each land use type. The ensemble of model runs was further analyzed with deterministic and probabilistic ensemble methods. The deterministic ensemble method based on a trimmed mean resulted in a single somewhat more reliable scenario prediction. The probabilistic reliability ensemble averaging (REA) method allowed a quantification of the model structure uncertainty in the scenario predictions. It was concluded that the use of a model ensemble has greatly increased our confidence in the reliability of the model predictions.},
  language  = {en}
}
@misc{MarceGeorgeBuscarinuetal.2016,
  author    = {Marce, Rafael and George, Glen and Buscarinu, Paola and Deidda, Melania and Dunalska, Julita and de Eyto, Elvira and Flaim, Giovanna and Grossart, Hans-Peter and Istvanovics, Vera and Lenhardt, Mirjana and Moreno-Ostos, Enrique and Obrador, Biel and Ostrovsky, Ilia and Pierson, Donald C. and Potuzak, Jan and Poikane, Sandra and Rinke, Karsten and Rodriguez-Mozaz, Sara and Staehr, Peter A. and Sumberova, Katerina and Waajen, Guido and Weyhenmeyer, Gesa A. and Weathers, Kathleen C. and Zion, Mark and Ibelings, Bas W. and Jennings, Eleanor},
  title     = {Automatic High Frequency Monitoring for Improved Lake and Reservoir Management},
  series = {Frontiers in plant science},
  volume    = {50},
  journal   = {Frontiers in plant science},
  publisher = {American Chemical Society},
  address   = {Washington},
  issn      = {0013-936X},
  doi       = {10.1021/acs.est.6b01604},
  pages     = {10780 -- 10794},
  year      = {2016},
  abstract  = {Recent technological developments have increased the number of variables being monitored in lakes and reservoirs using automatic high frequency monitoring (AHFM). However, design of AHFM systems and posterior data handling and interpretation are currently being developed on a site-by-site and issue-by-issue basis with minimal standardization of protocols or knowledge sharing. As a result, many deployments become short-lived or underutilized, and many new scientific developments that are potentially useful for water management and environmental legislation remain underexplored. This Critical Review bridges scientific uses of AHFM with their applications by providing an overview of the current AHFM capabilities, together with examples of successful applications. We review the use of AHFM for maximizing the provision of ecosystem services supplied, by lakes and reservoirs (consumptive and non consumptive uses, food production, and recreation), and for reporting lake status in the EU Water Framework Directive. We also highlight critical issues to enhance the application of AHFM, and suggest the establishment of appropriate networks to facilitate knowledge sharing and technological transfer between potential users. Finally, we give advice on how modern sensor technology can successfully be applied on a larger scale to the management of lakes and reservoirs and maximize the ecosystem services they provide.},
  language  = {en}
}
@article{VineyBormannBreueretal.2009,
  author    = {Viney, Neil R. and Bormann, Helge and Breuer, Lutz and Bronstert, Axel and Croke, Barry F. W. and Frede, Hans-Georg and Gr{\"a}ff, Thomas and Hubrechts, Lode and Huisman, Johan A. and Jakeman, Anthony J. and Kite, Geoffrey W. and Lanini, Jordan and Leavesley, George and Lettenmaier, Dennis P. and Lindstroem, Goeran and Seibert, Jan and Sivapalan, Murugesu and Willems, Patrick},
  title     = {Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II : ensemble combinations and predictions},
  issn      = {0309-1708},
  doi       = {10.1016/j.advwatres.2008.05.006},
  year      = {2009},
  abstract  = {This paper reports on a project to compare predictions from a range of catchment models applied to a mesoscale river basin in central Germany and to assess various ensemble predictions of catchment streamflow. The models encompass a large range in inherent complexity and input requirements. In approximate order of decreasing complexity, they are DHSVM, MIKE-SHE, TOPLATS, WASIM-ETH, SWAT, PRMS, SLURP, HBV, LASCAM and IHACRES. The models are calibrated twice using different sets of input data. The two predictions from each model are then combined by simple averaging to produce a single-model ensemble. The 10 resulting single-model ensembles are combined in various ways to produce multi-model ensemble predictions. Both the single-model ensembles and the multi-model ensembles are shown to give predictions that are generally superior to those of their respective constituent models, both during a 7-year calibration period and a 9- year validation period. This occurs despite a considerable disparity in performance of the individual models. Even the weakest of models is shown to contribute useful information to the ensembles they are part of. The best model combination methods are a trimmed mean (constructed using the central four or six predictions each day) and a weighted mean ensemble (with weights calculated from calibration performance) that places relatively large weights on the better performing models. Conditional ensembles. in which separate model weights are used in different system states (e.g. summer and winter, high and low flows) generally yield little improvement over the weighted mean ensemble. However a conditional ensemble that discriminates between rising and receding flows shows moderate improvement. An analysis of ensemble predictions shows that the best ensembles are not necessarily those containing the best individual models. Conversely, it appears that some models that predict well individually do not necessarily combine well with other models in multi-model ensembles. The reasons behind these observations may relate to the effects of the weighting schemes, non- stationarity of the climate series and possible cross-correlations between models.},
  language  = {en}
}