TY  - JOUR
A1  - Taal, H. Rob
A1  - St Pourcain, Beate
A1  - Thiering, Elisabeth
A1  - Das, Shikta
A1  - Mook-Kanamori, Dennis O.
A1  - Warrington, Nicole M.
A1  - Kaakinen, Marika
A1  - Kreiner-Moller, Eskil
A1  - Bradfield, Jonathan P.
A1  - Freathy, Rachel M.
A1  - Geller, Frank
A1  - Guxens, Monica
A1  - Cousminer, Diana L.
A1  - Kerkhof, Marjan
A1  - Timpson, Nicholas J.
A1  - Ikram, M. Arfan
A1  - Beilin, Lawrence J.
A1  - Bonnelykke, Klaus
A1  - Buxton, Jessica L.
A1  - Charoen, Pimphen
A1  - Chawes, Bo Lund Krogsgaard
A1  - Eriksson, Johan
A1  - Evans, David M.
A1  - Hofman, Albert
A1  - Kemp, John P.
A1  - Kim, Cecilia E.
A1  - Klopp, Norman
A1  - Lahti, Jari
A1  - Lye, Stephen J.
A1  - McMahon, George
A1  - Mentch, Frank D.
A1  - Mueller-Nurasyid, Martina
A1  - O'Reilly, Paul F.
A1  - Prokopenko, Inga
A1  - Rivadeneira, Fernando
A1  - Steegers, Eric A. P.
A1  - Sunyer, Jordi
A1  - Tiesler, Carla
A1  - Yaghootkar, Hanieh
A1  - Breteler, Monique M. B.
A1  - Debette, Stephanie
A1  - Fornage, Myriam
A1  - Gudnason, Vilmundur
A1  - Launer, Lenore J.
A1  - van der Lugt, Aad
A1  - Mosley, Thomas H.
A1  - Seshadri, Sudha
A1  - Smith, Albert V.
A1  - Vernooij, Meike W.
A1  - Blakemore, Alexandra I. F.
A1  - Chiavacci, Rosetta M.
A1  - Feenstra, Bjarke
A1  - Fernandez-Banet, Julio
A1  - Grant, Struan F. A.
A1  - Hartikainen, Anna-Liisa
A1  - van der Heijden, Albert J.
A1  - Iniguez, Carmen
A1  - Lathrop, Mark
A1  - McArdle, Wendy L.
A1  - Molgaard, Anne
A1  - Newnham, John P.
A1  - Palmer, Lyle J.
A1  - Palotie, Aarno
A1  - Pouta, Annneli
A1  - Ring, Susan M.
A1  - Sovio, Ulla
A1  - Standl, Marie
A1  - Uitterlinden, Andre G.
A1  - Wichmann, H-Erich
A1  - Vissing, Nadja Hawwa
A1  - DeCarli, Charles
A1  - van Duijn, Cornelia M.
A1  - McCarthy, Mark I.
A1  - Koppelman, Gerard H.
A1  - Estivill, Xavier
A1  - Hattersley, Andrew T.
A1  - Melbye, Mads
A1  - Bisgaard, Hans
A1  - Pennell, Craig E.
A1  - Widen, Elisabeth
A1  - Hakonarson, Hakon
A1  - Smith, George Davey
A1  - Heinrich, Joachim
A1  - Jarvelin, Marjo-Riitta
A1  - Jaddoe, Vincent W. V.
A1  - Adair, Linda S.
A1  - Ang, Wei
A1  - Atalay, Mustafa
A1  - van Beijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Bradfield, Jonathan P.
A1  - Charoen, Pimphen
A1  - Coin, Lachlan
A1  - Cousminer, Diana L.
A1  - Das, Shikta
A1  - Davis, Oliver S. P.
A1  - Elliott, Paul
A1  - Evans, David M.
A1  - Feenstra, Bjarke
A1  - Flexeder, Claudia
A1  - Frayling, Tim
A1  - Freathy, Rachel M.
A1  - Gaillard, Romy
A1  - Geller, Frank
A1  - Groen-Blokhuis, Maria
A1  - Goh, Liang-Kee
A1  - Guxens, Monica
A1  - Haworth, Claire M. A.
A1  - Hadley, Dexter
A1  - Hebebrand, Johannes
A1  - Hinney, Anke
A1  - Hirschhorn, Joel N.
A1  - Holloway, John W.
A1  - Holst, Claus
A1  - Hottenga, Jouke Jan
A1  - Horikoshi, Momoko
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Iniguez, Carmen
A1  - Kaakinen, Marika
A1  - Kilpelainen, Tuomas O.
A1  - Kirin, Mirna
A1  - Kowgier, Matthew
A1  - Lakka, Hanna-Maaria
A1  - Lange, Leslie A.
A1  - Lawlor, Debbie A.
A1  - Lehtimaki, Terho
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Lindi, Virpi
A1  - Maggi, Reedik
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Mook-Kanamori, Dennis O.
A1  - Murray, Jeffrey C.
A1  - Nivard, Michel
A1  - Nohr, Ellen Aagaard
A1  - Ntalla, Ioanna
A1  - Oken, Emily
A1  - O'Reilly, Paul F.
A1  - Palmer, Lyle J.
A1  - Panoutsopoulou, Kalliope
A1  - Pararajasingham, Jennifer
A1  - Prokopenko, Inga
A1  - Rodriguez, Alina
A1  - Salem, Rany M.
A1  - Sebert, Sylvain
A1  - Siitonen, Niina
A1  - Sovio, Ulla
A1  - St Pourcain, Beate
A1  - Strachan, David P.
A1  - Sunyer, Jordi
A1  - Taal, H. Rob
A1  - Teo, Yik-Ying
A1  - Thiering, Elisabeth
A1  - Tiesler, Carla
A1  - Uitterlinden, Andre G.
A1  - Valcarcel, Beatriz
A1  - Warrington, Nicole M.
A1  - White, Scott
A1  - Willemsen, Gonneke
A1  - Yaghootkar, Hanieh
A1  - Zeggini, Eleftheria
A1  - Boomsma, Dorret I.
A1  - Cooper, Cyrus
A1  - Estivill, Xavier
A1  - Gillman, Matthew
A1  - Grant, Struan F. A.
A1  - Hakonarson, Hakon
A1  - Hattersley, Andrew T.
A1  - Heinrich, Joachim
A1  - Hocher, Berthold
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - Lakka, Timo A.
A1  - McCarthy, Mark I.
A1  - Melbye, Mads
A1  - Mohlke, Karen L.
A1  - Dedoussis, George V.
A1  - Ong, Ken K.
A1  - Pearson, Ewan R.
A1  - Pennell, Craig E.
A1  - Price, Thomas S.
A1  - Power, Chris
A1  - Raitakari, Olli T.
A1  - Saw, Seang-Mei
A1  - Scherag, Andre
A1  - Simell, Olli
A1  - Sorensen, Thorkild I. A.
A1  - Timpson, Nicholas J.
A1  - Widen, Elisabeth
A1  - Wilson, James F.
A1  - Ang, Wei
A1  - van Beijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Bradfield, Jonathan P.
A1  - Charoen, Pimphen
A1  - Coin, Lachlan
A1  - Cousminer, Diana L.
A1  - Das, Shikta
A1  - Elliott, Paul
A1  - Evans, David M.
A1  - Frayling, Tim
A1  - Freathy, Rachel M.
A1  - Gaillard, Romy
A1  - Groen-Blokhuis, Maria
A1  - Guxens, Monica
A1  - Hadley, Dexter
A1  - Hottenga, Jouke Jan
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Kaakinen, Marika
A1  - Kowgier, Matthew
A1  - Lawlor, Debbie A.
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Mook-Kanamori, Dennis O.
A1  - Nivard, Michel
A1  - O'Reilly, Paul F.
A1  - Palmer, Lyle J.
A1  - Prokopenko, Inga
A1  - Rodriguez, Alina
A1  - Sebert, Sylvain
A1  - Sovio, Ulla
A1  - St Pourcain, Beate
A1  - Standl, Marie
A1  - Strachan, David P.
A1  - Sunyer, Jordi
A1  - Taal, H. Rob
A1  - Thiering, Elisabeth
A1  - Tiesler, Carla
A1  - Uitterlinden, Andre G.
A1  - Valcarcel, Beatriz
A1  - Warrington, Nicole M.
A1  - White, Scott
A1  - Willemsen, Gonneke
A1  - Yaghootkar, Hanieh
A1  - Boomsma, Dorret I.
A1  - Estivill, Xavier
A1  - Grant, Struan F. A.
A1  - Hakonarson, Hakon
A1  - Hattersley, Andrew T.
A1  - Heinrich, Joachim
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - McCarthy, Mark I.
A1  - Pennell, Craig E.
A1  - Power, Chris
A1  - Timpson, Nicholas J.
A1  - Widen, Elisabeth
A1  - Ikram, M. Arfan
A1  - Fornage, Myriam
A1  - Smith, Albert V.
A1  - Seshadri, Sudha
A1  - Schmidt, Reinhold
A1  - Debette, Stephanie
A1  - Vrooman, Henri A.
A1  - Sigurdsson, Sigurdur
A1  - Ropele, Stefan
A1  - Coker, Laura H.
A1  - Longstreth, W. T.
A1  - Niessen, Wiro J.
A1  - DeStefano, Anita L.
A1  - Beiser, Alexa
A1  - Zijdenbos, Alex P.
A1  - Struchalin, Maksim
A1  - Jack, Clifford R.
A1  - Nalls, Mike A.
A1  - Au, Rhoda
A1  - Hofman, Albert
A1  - Gudnason, Haukur
A1  - van der Lugt, Aad
A1  - Harris, Tamara B.
A1  - Meeks, William M.
A1  - Vernooij, Meike W.
A1  - van Buchem, Mark A.
A1  - Catellier, Diane
A1  - Gudnason, Vilmundur
A1  - Windham, B. Gwen
A1  - Wolf, Philip A.
A1  - van Duijn, Cornelia M.
A1  - Mosley, Thomas H.
A1  - Schmidt, Helena
A1  - Launer, Lenore J.
A1  - Breteler, Monique M. B.
A1  - DeCarli, Charles
T1  - Common variants at 12q15 and 12q24 are associated with infant head circumference
JF  - Nature genetics
N2  - 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.
Y1  - 2012
U6  - https://doi.org/10.1038/ng.2238
SN  - 1061-4036
VL  - 44
IS  - 5
SP  - 532
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Tiegs, Scott D.
A1  - Costello, David M.
A1  - Isken, Mark W.
A1  - Woodward, Guy
A1  - McIntyre, Peter B.
A1  - Gessner, Mark O.
A1  - Chauvet, Eric
A1  - Griffiths, Natalie A.
A1  - Flecker, Alex S.
A1  - Acuna, Vicenc
A1  - Albarino, Ricardo
A1  - Allen, Daniel C.
A1  - Alonso, Cecilia
A1  - Andino, Patricio
A1  - Arango, Clay
A1  - Aroviita, Jukka
A1  - Barbosa, Marcus V. M.
A1  - Barmuta, Leon A.
A1  - Baxter, Colden V.
A1  - Bell, Thomas D. C.
A1  - Bellinger, Brent
A1  - Boyero, Luz
A1  - Brown, Lee E.
A1  - Bruder, Andreas
A1  - Bruesewitz, Denise A.
A1  - Burdon, Francis J.
A1  - Callisto, Marcos
A1  - Canhoto, Cristina
A1  - Capps, Krista A.
A1  - Castillo, Maria M.
A1  - Clapcott, Joanne
A1  - Colas, Fanny
A1  - Colon-Gaud, Checo
A1  - Cornut, Julien
A1  - Crespo-Perez, Veronica
A1  - Cross, Wyatt F.
A1  - Culp, Joseph M.
A1  - Danger, Michael
A1  - Dangles, Olivier
A1  - de Eyto, Elvira
A1  - Derry, Alison M.
A1  - Diaz Villanueva, Veronica
A1  - Douglas, Michael M.
A1  - Elosegi, Arturo
A1  - Encalada, Andrea C.
A1  - Entrekin, Sally
A1  - Espinosa, Rodrigo
A1  - Ethaiya, Diana
A1  - Ferreira, Veronica
A1  - Ferriol, Carmen
A1  - Flanagan, Kyla M.
A1  - Fleituch, Tadeusz
A1  - Shah, Jennifer J. Follstad
A1  - Frainer, Andre
A1  - Friberg, Nikolai
A1  - Frost, Paul C.
A1  - Garcia, Erica A.
A1  - Lago, Liliana Garcia
A1  - Garcia Soto, Pavel Ernesto
A1  - Ghate, Sudeep
A1  - Giling, Darren P.
A1  - Gilmer, Alan
A1  - Goncalves, Jose Francisco
A1  - Gonzales, Rosario Karina
A1  - Graca, Manuel A. S.
A1  - Grace, Mike
A1  - Grossart, Hans-Peter
A1  - Guerold, Francois
A1  - Gulis, Vlad
A1  - Hepp, Luiz U.
A1  - Higgins, Scott
A1  - Hishi, Takuo
A1  - Huddart, Joseph
A1  - Hudson, John
A1  - Imberger, Samantha
A1  - Iniguez-Armijos, Carlos
A1  - Iwata, Tomoya
A1  - Janetski, David J.
A1  - Jennings, Eleanor
A1  - Kirkwood, Andrea E.
A1  - Koning, Aaron A.
A1  - Kosten, Sarian
A1  - Kuehn, Kevin A.
A1  - Laudon, Hjalmar
A1  - Leavitt, Peter R.
A1  - Lemes da Silva, Aurea L.
A1  - Leroux, Shawn J.
A1  - Leroy, Carri J.
A1  - Lisi, Peter J.
A1  - MacKenzie, Richard
A1  - Marcarelli, Amy M.
A1  - Masese, Frank O.
A1  - Mckie, Brendan G.
A1  - Oliveira Medeiros, Adriana
A1  - Meissner, Kristian
A1  - Milisa, Marko
A1  - Mishra, Shailendra
A1  - Miyake, Yo
A1  - Moerke, Ashley
A1  - Mombrikotb, Shorok
A1  - Mooney, Rob
A1  - Moulton, Tim
A1  - Muotka, Timo
A1  - Negishi, Junjiro N.
A1  - Neres-Lima, Vinicius
A1  - Nieminen, Mika L.
A1  - Nimptsch, Jorge
A1  - Ondruch, Jakub
A1  - Paavola, Riku
A1  - Pardo, Isabel
A1  - Patrick, Christopher J.
A1  - Peeters, Edwin T. H. M.
A1  - Pozo, Jesus
A1  - Pringle, Catherine
A1  - Prussian, Aaron
A1  - Quenta, Estefania
A1  - Quesada, Antonio
A1  - Reid, Brian
A1  - Richardson, John S.
A1  - Rigosi, Anna
A1  - Rincon, Jose
A1  - Risnoveanu, Geta
A1  - Robinson, Christopher T.
A1  - Rodriguez-Gallego, Lorena
A1  - Royer, Todd V.
A1  - Rusak, James A.
A1  - Santamans, Anna C.
A1  - Selmeczy, Geza B.
A1  - Simiyu, Gelas
A1  - Skuja, Agnija
A1  - Smykla, Jerzy
A1  - Sridhar, Kandikere R.
A1  - Sponseller, Ryan
A1  - Stoler, Aaron
A1  - Swan, Christopher M.
A1  - Szlag, David
A1  - Teixeira-de Mello, Franco
A1  - Tonkin, Jonathan D.
A1  - Uusheimo, Sari
A1  - Veach, Allison M.
A1  - Vilbaste, Sirje
A1  - Vought, Lena B. M.
A1  - Wang, Chiao-Ping
A1  - Webster, Jackson R.
A1  - Wilson, Paul B.
A1  - Woelfl, Stefan
A1  - Xenopoulos, Marguerite A.
A1  - Yates, Adam G.
A1  - Yoshimura, Chihiro
A1  - Yule, Catherine M.
A1  - Zhang, Yixin X.
A1  - Zwart, Jacob A.
T1  - Global patterns and drivers of ecosystem functioning in rivers and riparian zones
JF  - Science Advances
N2  - River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the equator. These results and data set the stage for unprecedented “next-generation biomonitoring” by establishing baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale.
Y1  - 2019
U6  - https://doi.org/10.1126/sciadv.aav0486
SN  - 2375-2548
VL  - 5
IS  - 1
PB  - American Assoc. for the Advancement of Science
CY  - Washington
ER  - 
TY  - JOUR
A1  - Middeldorp, Christel M.
A1  - Mahajan, Anubha
A1  - Horikoshi, Momoko
A1  - Robertson, Neil R.
A1  - Beaumont, Robin N.
A1  - Bradfield, Jonathan P.
A1  - Bustamante, Mariona
A1  - Cousminer, Diana L.
A1  - Day, Felix R.
A1  - De Silva, N. Maneka
A1  - Guxens, Monica
A1  - Mook-Kanamori, Dennis O.
A1  - St Pourcain, Beate
A1  - Warrington, Nicole M.
A1  - Adair, Linda S.
A1  - Ahlqvist, Emma
A1  - Ahluwalia, Tarunveer Singh
A1  - Almgren, Peter
A1  - Ang, Wei
A1  - Atalay, Mustafa
A1  - Auvinen, Juha
A1  - Bartels, Meike
A1  - Beckmann, Jacques S.
A1  - Bilbao, Jose Ramon
A1  - Bond, Tom
A1  - Borja, Judith B.
A1  - Cavadino, Alana
A1  - Charoen, Pimphen
A1  - Chen, Zhanghua
A1  - Coin, Lachlan
A1  - Cooper, Cyrus
A1  - Curtin, John A.
A1  - Custovic, Adnan
A1  - Das, Shikta
A1  - Davies, Gareth E.
A1  - Dedoussis, George V.
A1  - Duijts, Liesbeth
A1  - Eastwood, Peter R.
A1  - Eliasen, Anders U.
A1  - Elliott, Paul
A1  - Eriksson, Johan G.
A1  - Estivill, Xavier
A1  - Fadista, Joao
A1  - Fedko, Iryna O.
A1  - Frayling, Timothy M.
A1  - Gaillard, Romy
A1  - Gauderman, W. James
A1  - Geller, Frank
A1  - Gilliland, Frank
A1  - Gilsanz, Vincente
A1  - Granell, Raquel
A1  - Grarup, Niels
A1  - Groop, Leif
A1  - Hadley, Dexter
A1  - Hakonarson, Hakon
A1  - Hansen, Torben
A1  - Hartman, Catharina A.
A1  - Hattersley, Andrew T.
A1  - Hayes, M. Geoffrey
A1  - Hebebrand, Johannes
A1  - Heinrich, Joachim
A1  - Helgeland, Oyvind
A1  - Henders, Anjali K.
A1  - Henderson, John
A1  - Henriksen, Tine B.
A1  - Hirschhorn, Joel N.
A1  - Hivert, Marie-France
A1  - Hocher, Berthold
A1  - Holloway, John W.
A1  - Holt, Patrick
A1  - Hottenga, Jouke-Jan
A1  - Hypponen, Elina
A1  - Iniguez, Carmen
A1  - Johansson, Stefan
A1  - Jugessur, Astanand
A1  - Kahonen, Mika
A1  - Kalkwarf, Heidi J.
A1  - Kaprio, Jaakko
A1  - Karhunen, Ville
A1  - Kemp, John P.
A1  - Kerkhof, Marjan
A1  - Koppelman, Gerard H.
A1  - Korner, Antje
A1  - Kotecha, Sailesh
A1  - Kreiner-Moller, Eskil
A1  - Kulohoma, Benard
A1  - Kumar, Ashish
A1  - Kutalik, Zoltan
A1  - Lahti, Jari
A1  - Lappe, Joan M.
A1  - Larsson, Henrik
A1  - Lehtimaki, Terho
A1  - Lewin, Alexandra M.
A1  - Li, Jin
A1  - Lichtenstein, Paul
A1  - Lindgren, Cecilia M.
A1  - Lindi, Virpi
A1  - Linneberg, Allan
A1  - Liu, Xueping
A1  - Liu, Jun
A1  - Lowe, William L.
A1  - Lundstrom, Sebastian
A1  - Lyytikainen, Leo-Pekka
A1  - Ma, Ronald C. W.
A1  - Mace, Aurelien
A1  - Magi, Reedik
A1  - Magnus, Per
A1  - Mamun, Abdullah A.
A1  - Mannikko, Minna
A1  - Martin, Nicholas G.
A1  - Mbarek, Hamdi
A1  - McCarthy, Nina S.
A1  - Medland, Sarah E.
A1  - Melbye, Mads
A1  - Melen, Erik
A1  - Mohlke, Karen L.
A1  - Monnereau, Claire
A1  - Morgen, Camilla S.
A1  - Morris, Andrew P.
A1  - Murray, Jeffrey C.
A1  - Myhre, Ronny
A1  - Najman, Jackob M.
A1  - Nivard, Michel G.
A1  - Nohr, Ellen A.
A1  - Nolte, Ilja M.
A1  - Ntalla, Ioanna
A1  - Oberfield, Sharon E.
A1  - Oken, Emily
A1  - Oldehinkel, Albertine J.
A1  - Pahkala, Katja
A1  - Palviainen, Teemu
A1  - Panoutsopoulou, Kalliope
A1  - Pedersen, Oluf
A1  - Pennell, Craig E.
A1  - Pershagen, Goran
A1  - Pitkanen, Niina
A1  - Plomin, Robert
A1  - Power, Christine
A1  - Prasad, Rashmi B.
A1  - Prokopenko, Inga
A1  - Pulkkinen, Lea
A1  - Raikkonen, Katri
A1  - Raitakari, Olli T.
A1  - Reynolds, Rebecca M.
A1  - Richmond, Rebecca C.
A1  - Rivadeneira, Fernando
A1  - Rodriguez, Alina
A1  - Rose, Richard J.
A1  - Salem, Rany
A1  - Santa-Marina, Loreto
A1  - Saw, Seang-Mei
A1  - Schnurr, Theresia M.
A1  - Scott, James G.
A1  - Selzam, Saskia
A1  - Shepherd, John A.
A1  - Simpson, Angela
A1  - Skotte, Line
A1  - Sleiman, Patrick M. A.
A1  - Snieder, Harold
A1  - Sorensen, Thorkild I. A.
A1  - Standl, Marie
A1  - Steegers, Eric A. P.
A1  - Strachan, David P.
A1  - Straker, Leon
A1  - Strandberg, Timo
A1  - Taylor, Michelle
A1  - Teo, Yik-Ying
A1  - Thiering, Elisabeth
A1  - Torrent, Maties
A1  - Tyrrell, Jessica
A1  - Uitterlinden, Andre G.
A1  - van Beijsterveldt, Toos
A1  - van der Most, Peter J.
A1  - van Duijn, Cornelia M.
A1  - Viikari, Jorma
A1  - Vilor-Tejedor, Natalia
A1  - Vogelezang, Suzanne
A1  - Vonk, Judith M.
A1  - Vrijkotte, Tanja G. M.
A1  - Vuoksimaa, Eero
A1  - Wang, Carol A.
A1  - Watkins, William J.
A1  - Wichmann, H-Erich
A1  - Willemsen, Gonneke
A1  - Williams, Gail M.
A1  - Wilson, James F.
A1  - Wray, Naomi R.
A1  - Xu, Shujing
A1  - Xu, Cheng-Jian
A1  - Yaghootkar, Hanieh
A1  - Yi, Lu
A1  - Zafarmand, Mohammad Hadi
A1  - Zeggini, Eleftheria
A1  - Zemel, Babette S.
A1  - Hinney, Anke
A1  - Lakka, Timo A.
A1  - Whitehouse, Andrew J. O.
A1  - Sunyer, Jordi
A1  - Widen, Elisabeth E.
A1  - Feenstra, Bjarke
A1  - Sebert, Sylvain
A1  - Jacobsson, Bo
A1  - Njolstad, Pal R.
A1  - Stoltenberg, Camilla
A1  - Smith, George Davey
A1  - Lawlor, Debbie A.
A1  - Paternoster, Lavinia
A1  - Timpson, Nicholas J.
A1  - Ong, Ken K.
A1  - Bisgaard, Hans
A1  - Bonnelykke, Klaus
A1  - Jaddoe, Vincent W. V.
A1  - Tiemeier, Henning
A1  - Jarvelin, Marjo-Riitta
A1  - Evans, David M.
A1  - Perry, John R. B.
A1  - Grant, Struan F. A.
A1  - Boomsma, Dorret I.
A1  - Freathy, Rachel M.
A1  - McCarthy, Mark I.
A1  - Felix, Janine F.
T1  - The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia
BT  - design, results and future prospects
JF  - European journal of epidemiology
N2  - 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.
KW  - Genetics
KW  - Consortium
KW  - Childhood traits and disorders
KW  - Longitudinal
Y1  - 2019
U6  - https://doi.org/10.1007/s10654-019-00502-9
SN  - 0393-2990
SN  - 1573-7284
VL  - 34
IS  - 3
SP  - 279
EP  - 300
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Townsley, Leisa K.
A1  - Broos, Patrick S.
A1  - Corcoran, Michael F.
A1  - Feigelson, Eric D.
A1  - Gagne, Marc
A1  - Montmerle, Thierry
A1  - Oey, M. S.
A1  - Smith, Nathan
A1  - Garmire, Gordon P.
A1  - Getman, Konstantin V.
A1  - Povich, Matthew S.
A1  - Evans, Nancy Remage
A1  - Naze, Yael
A1  - Parkin, E. R.
A1  - Preibisch, Thomas
A1  - Wang, Junfeng
A1  - Wou, Scott J.
A1  - Chu, You-Hua
A1  - Cohen, David H.
A1  - Gruendl, Robert A.
A1  - Hamaguchi, Kenji
A1  - King, Robert R.
A1  - Mac Low, Mordecai-Mark
A1  - McCaughrean, Mark J.
A1  - Moffat, Anthony F. J.
A1  - Oskinova, Lida
A1  - Pittard, Julian M.
A1  - Stassun, Keivan G.
A1  - Ud-Doula, Asif
A1  - Walborn, Nolan R.
A1  - Waldron, Wayne L.
A1  - Churchwell, Ed
A1  - Nictiols, J. S.
A1  - Owocki, Stanley P.
A1  - Schulz, Norbert S.
T1  - An introduction to the chandra carina complex project
JF  - The astrophysical journal : an international review of spectroscopy and astronomical physics ; Supplement series
N2  - The Great Nebula in Carina provides an exceptional view into the violent massive star formation and feedback that typifies giant H II regions and starburst galaxies. We have mapped the Carina star-forming complex in X-rays, using archival Chandra data and a mosaic of 20 new 60 ks pointings using the Chandra X-ray Observatory's Advanced CCD Imaging Spectrometer, as a testbed for understanding recent and ongoing star formation and to probe Carina's regions of bright diffuse X-ray emission. This study has yielded a catalog of properties of > 14,000 X-ray point sources;> 9800 of them have multiwavelength counterparts. Using Chandra's unsurpassed X-ray spatial resolution, we have separated these point sources from the extensive, spatially-complex diffuse emission that pervades the region; X-ray properties of this diffuse emission suggest that it traces feedback from Carina's massive stars. In this introductory paper, we motivate the survey design, describe the Chandra observations, and present some simple results, providing a foundation for the 15 papers that follow in this special issue and that present detailed catalogs, methods, and science results.
KW  - H II regions
KW  - stars: massive
KW  - stars: pre-main sequence
KW  - X-rays: individual (Carina)
KW  - X-rays: ISM
KW  - X-rays: stars
Y1  - 2011
U6  - https://doi.org/10.1088/0067-0049/194/1/1
SN  - 0067-0049
VL  - 194
IS  - 1
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Warrington, Nicole
A1  - Beaumont, Robin
A1  - Horikoshi, Momoko
A1  - Day, Felix R.
A1  - Helgeland, Øyvind
A1  - Laurin, Charles
A1  - Bacelis, Jonas
A1  - Peng, Shouneng
A1  - Hao, Ke
A1  - Feenstra, Bjarke
A1  - Wood, Andrew R.
A1  - Mahajan, Anubha
A1  - Tyrrell, Jessica
A1  - Robertson, Neil R.
A1  - Rayner, N. William
A1  - Qiao, Zhen
A1  - Moen, Gunn-Helen
A1  - Vaudel, Marc
A1  - Marsit, Carmen
A1  - Chen, Jia
A1  - Nodzenski, Michael
A1  - Schnurr, Theresia M.
A1  - Zafarmand, Mohammad Hadi
A1  - Bradfield, Jonathan P.
A1  - Grarup, Niels
A1  - Kooijman, Marjolein N.
A1  - Li-Gao, Ruifang
A1  - Geller, Frank
A1  - Ahluwalia, Tarunveer Singh
A1  - Paternoster, Lavinia
A1  - Rueedi, Rico
A1  - Huikari, Ville
A1  - Hottenga, Jouke-Jan
A1  - Lyytikäinen, Leo-Pekka
A1  - Cavadino, Alana
A1  - Metrustry, Sarah
A1  - Cousminer, Diana L.
A1  - Wu, Ying
A1  - Thiering, Elisabeth Paula
A1  - Wang, Carol A.
A1  - Have, Christian Theil
A1  - Vilor-Tejedor, Natalia
A1  - Joshi, Peter K.
A1  - Painter, Jodie N.
A1  - Ntalla, Ioanna
A1  - Myhre, Ronny
A1  - Pitkänen, Niina
A1  - van Leeuwen, Elisabeth M.
A1  - Joro, Raimo
A1  - Lagou, Vasiliki
A1  - Richmond, Rebecca C.
A1  - Espinosa, Ana
A1  - Barton, Sheila J.
A1  - Inskip, Hazel M.
A1  - Holloway, John W.
A1  - Santa-Marina, Loreto
A1  - Estivill, Xavier
A1  - Ang, Wei
A1  - Marsh, Julie A.
A1  - Reichetzeder, Christoph
A1  - Marullo, Letizia
A1  - Hocher, Berthold
A1  - Lunetta, Kathryn L.
A1  - Murabito, Joanne M.
A1  - Relton, Caroline L.
A1  - Kogevinas, Manolis
A1  - Chatzi, Leda
A1  - Allard, Catherine
A1  - Bouchard, Luigi
A1  - Hivert, Marie-France
A1  - Zhang, Ge
A1  - Muglia, Louis J.
A1  - Heikkinen, Jani
A1  - Morgen, Camilla S.
A1  - van Kampen, Antoine H. C.
A1  - van Schaik, Barbera D. C.
A1  - Mentch, Frank D.
A1  - Langenberg, Claudia
A1  - Scott, Robert A.
A1  - Zhao, Jing Hua
A1  - Hemani, Gibran
A1  - Ring, Susan M.
A1  - Bennett, Amanda J.
A1  - Gaulton, Kyle J.
A1  - Fernandez-Tajes, Juan
A1  - van Zuydam, Natalie R.
A1  - Medina-Gomez, Carolina
A1  - de Haan, Hugoline G.
A1  - Rosendaal, Frits R.
A1  - Kutalik, Zoltán
A1  - Marques-Vidal, Pedro
A1  - Das, Shikta
A1  - Willemsen, Gonneke
A1  - Mbarek, Hamdi
A1  - Müller-Nurasyid, Martina
A1  - Standl, Marie
A1  - Appel, Emil V. R.
A1  - Fonvig, Cilius Esmann
A1  - Trier, Caecilie
A1  - van Beijsterveldt, Catharina E. M.
A1  - Murcia, Mario
A1  - Bustamante, Mariona
A1  - Bonàs-Guarch, Sílvia
A1  - Hougaard, David M.
A1  - Mercader, Josep M.
A1  - Linneberg, Allan
A1  - Schraut, Katharina E.
A1  - Lind, Penelope A.
A1  - Medland, Sarah Elizabeth
A1  - Shields, Beverley M.
A1  - Knight, Bridget A.
A1  - Chai, Jin-Fang
A1  - Panoutsopoulou, Kalliope
A1  - Bartels, Meike
A1  - Sánchez, Friman
A1  - Stokholm, Jakob
A1  - Torrents, David
A1  - Vinding, Rebecca K.
A1  - Willems, Sara M.
A1  - Atalay, Mustafa
A1  - Chawes, Bo L.
A1  - Kovacs, Peter
A1  - Prokopenko, Inga
A1  - Tuke, Marcus A.
A1  - Yaghootkar, Hanieh
A1  - Ruth, Katherine S.
A1  - Jones, Samuel E.
A1  - Loh, Po-Ru
A1  - Murray, Anna
A1  - Weedon, Michael N.
A1  - Tönjes, Anke
A1  - Stumvoll, Michael
A1  - Michaelsen, Kim Fleischer
A1  - Eloranta, Aino-Maija
A1  - Lakka, Timo A.
A1  - van Duijn, Cornelia M.
A1  - Kiess, Wieland
A1  - Koerner, Antje
A1  - Niinikoski, Harri
A1  - Pahkala, Katja
A1  - Raitakari, Olli T.
A1  - Jacobsson, Bo
A1  - Zeggini, Eleftheria
A1  - Dedoussis, George V.
A1  - Teo, Yik-Ying
A1  - Saw, Seang-Mei
A1  - Montgomery, Grant W.
A1  - Campbell, Harry
A1  - Wilson, James F.
A1  - Vrijkotte, Tanja G. M.
A1  - Vrijheid, Martine
A1  - de Geus, Eco J. C. N.
A1  - Hayes, M. Geoffrey
A1  - Kadarmideen, Haja N.
A1  - Holm, Jens-Christian
A1  - Beilin, Lawrence J.
A1  - Pennell, Craig E.
A1  - Heinrich, Joachim
A1  - Adair, Linda S.
A1  - Borja, Judith B.
A1  - Mohlke, Karen L.
A1  - Eriksson, Johan G.
A1  - Widen, Elisabeth E.
A1  - Hattersley, Andrew T.
A1  - Spector, Tim D.
A1  - Kaehoenen, Mika
A1  - Viikari, Jorma S.
A1  - Lehtimaeki, Terho
A1  - Boomsma, Dorret I.
A1  - Sebert, Sylvain
A1  - Vollenweider, Peter
A1  - Sorensen, Thorkild I. A.
A1  - Bisgaard, Hans
A1  - Bonnelykke, Klaus
A1  - Murray, Jeffrey C.
A1  - Melbye, Mads
A1  - Nohr, Ellen A.
A1  - Mook-Kanamori, Dennis O.
A1  - Rivadeneira, Fernando
A1  - Hofman, Albert
A1  - Felix, Janine F.
A1  - Jaddoe, Vincent W. V.
A1  - Hansen, Torben
A1  - Pisinger, Charlotta
A1  - Vaag, Allan A.
A1  - Pedersen, Oluf
A1  - Uitterlinden, Andre G.
A1  - Jarvelin, Marjo-Riitta
A1  - Power, Christine
A1  - Hypponen, Elina
A1  - Scholtens, Denise M.
A1  - Lowe, William L.
A1  - Smith, George Davey
A1  - Timpson, Nicholas J.
A1  - Morris, Andrew P.
A1  - Wareham, Nicholas J.
A1  - Hakonarson, Hakon
A1  - Grant, Struan F. A.
A1  - Frayling, Timothy M.
A1  - Lawlor, Debbie A.
A1  - Njolstad, Pal R.
A1  - Johansson, Stefan
A1  - Ong, Ken K.
A1  - McCarthy, Mark I.
A1  - Perry, John R. B.
A1  - Evans, David M.
A1  - Freathy, Rachel M.
T1  - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
JF  - Nature genetics
N2  - 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.
Y1  - 2019
SN  - 1061-4036
SN  - 1546-1718
VL  - 51
IS  - 5
SP  - 804
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Wuttke, Matthias
A1  - Li, Yong
A1  - Li, Man
A1  - Sieber, Karsten B.
A1  - Feitosa, Mary F.
A1  - Gorski, Mathias
A1  - Tin, Adrienne
A1  - Wang, Lihua
A1  - Chu, Audrey Y.
A1  - Hoppmann, Anselm
A1  - Kirsten, Holger
A1  - Giri, Ayush
A1  - Chai, Jin-Fang
A1  - Sveinbjornsson, Gardar
A1  - Tayo, Bamidele O.
A1  - Nutile, Teresa
A1  - Fuchsberger, Christian
A1  - Marten, Jonathan
A1  - Cocca, Massimiliano
A1  - Ghasemi, Sahar
A1  - Xu, Yizhe
A1  - Horn, Katrin
A1  - Noce, Damia
A1  - Van der Most, Peter J.
A1  - Sedaghat, Sanaz
A1  - Yu, Zhi
A1  - Akiyama, Masato
A1  - Afaq, Saima
A1  - Ahluwalia, Tarunveer Singh
A1  - Almgren, Peter
A1  - Amin, Najaf
A1  - Arnlov, Johan
A1  - Bakker, Stephan J. L.
A1  - Bansal, Nisha
A1  - Baptista, Daniela
A1  - Bergmann, Sven
A1  - Biggs, Mary L.
A1  - Biino, Ginevra
A1  - Boehnke, Michael
A1  - Boerwinkle, Eric
A1  - Boissel, Mathilde
A1  - Böttinger, Erwin
A1  - Boutin, Thibaud S.
A1  - Brenner, Hermann
A1  - Brumat, Marco
A1  - Burkhardt, Ralph
A1  - Butterworth, Adam S.
A1  - Campana, Eric
A1  - Campbell, Archie
A1  - Campbell, Harry
A1  - Canouil, Mickael
A1  - Carroll, Robert J.
A1  - Catamo, Eulalia
A1  - Chambers, John C.
A1  - Chee, Miao-Ling
A1  - Chee, Miao-Li
A1  - Chen, Xu
A1  - Cheng, Ching-Yu
A1  - Cheng, Yurong
A1  - Christensen, Kaare
A1  - Cifkova, Renata
A1  - Ciullo, Marina
A1  - Concas, Maria Pina
A1  - Cook, James P.
A1  - Coresh, Josef
A1  - Corre, Tanguy
A1  - Sala, Cinzia Felicita
A1  - Cusi, Daniele
A1  - Danesh, John
A1  - Daw, E. Warwick
A1  - De Borst, Martin H.
A1  - De Grandi, Alessandro
A1  - De Mutsert, Renee
A1  - De Vries, Aiko P. J.
A1  - Degenhardt, Frauke
A1  - Delgado, Graciela
A1  - Demirkan, Ayse
A1  - Di Angelantonio, Emanuele
A1  - Dittrich, Katalin
A1  - Divers, Jasmin
A1  - Dorajoo, Rajkumar
A1  - Eckardt, Kai-Uwe
A1  - Ehret, Georg
A1  - Elliott, Paul
A1  - Endlich, Karlhans
A1  - Evans, Michele K.
A1  - Felix, Janine F.
A1  - Foo, Valencia Hui Xian
A1  - Franco, Oscar H.
A1  - Franke, Andre
A1  - Freedman, Barry I.
A1  - Freitag-Wolf, Sandra
A1  - Friedlander, Yechiel
A1  - Froguel, Philippe
A1  - Gansevoort, Ron T.
A1  - Gao, He
A1  - Gasparini, Paolo
A1  - Gaziano, J. Michael
A1  - Giedraitis, Vilmantas
A1  - Gieger, Christian
A1  - Girotto, Giorgia
A1  - Giulianini, Franco
A1  - Gogele, Martin
A1  - Gordon, Scott D.
A1  - Gudbjartsson, Daniel F.
A1  - Gudnason, Vilmundur
A1  - Haller, Toomas
A1  - Hamet, Pavel
A1  - Harris, Tamara B.
A1  - Hartman, Catharina A.
A1  - Hayward, Caroline
A1  - Hellwege, Jacklyn N.
A1  - Heng, Chew-Kiat
A1  - Hicks, Andrew A.
A1  - Hofer, Edith
A1  - Huang, Wei
A1  - Hutri-Kahonen, Nina
A1  - Hwang, Shih-Jen
A1  - Ikram, M. Arfan
A1  - Indridason, Olafur S.
A1  - Ingelsson, Erik
A1  - Ising, Marcus
A1  - Jaddoe, Vincent W. V.
A1  - Jakobsdottir, Johanna
A1  - Jonas, Jost B.
A1  - Joshi, Peter K.
A1  - Josyula, Navya Shilpa
A1  - Jung, Bettina
A1  - Kahonen, Mika
A1  - Kamatani, Yoichiro
A1  - Kammerer, Candace M.
A1  - Kanai, Masahiro
A1  - Kastarinen, Mika
A1  - Kerr, Shona M.
A1  - Khor, Chiea-Chuen
A1  - Kiess, Wieland
A1  - Kleber, Marcus E.
A1  - Koenig, Wolfgang
A1  - Kooner, Jaspal S.
A1  - Korner, Antje
A1  - Kovacs, Peter
A1  - Kraja, Aldi T.
A1  - Krajcoviechova, Alena
A1  - Kramer, Holly
A1  - Kramer, Bernhard K.
A1  - Kronenberg, Florian
A1  - Kubo, Michiaki
A1  - Kuhnel, Brigitte
A1  - Kuokkanen, Mikko
A1  - Kuusisto, Johanna
A1  - La Bianca, Martina
A1  - Laakso, Markku
A1  - Lange, Leslie A.
A1  - Langefeld, Carl D.
A1  - Lee, Jeannette Jen-Mai
A1  - Lehne, Benjamin
A1  - Lehtimaki, Terho
A1  - Lieb, Wolfgang
A1  - Lim, Su-Chi
A1  - Lind, Lars
A1  - Lindgren, Cecilia M.
A1  - Liu, Jun
A1  - Liu, Jianjun
A1  - Loeffler, Markus
A1  - Loos, Ruth J. F.
A1  - Lucae, Susanne
A1  - Lukas, Mary Ann
A1  - Lyytikainen, Leo-Pekka
A1  - Magi, Reedik
A1  - Magnusson, Patrik K. E.
A1  - Mahajan, Anubha
A1  - Martin, Nicholas G.
A1  - Martins, Jade
A1  - Marz, Winfried
A1  - Mascalzoni, Deborah
A1  - Matsuda, Koichi
A1  - Meisinger, Christa
A1  - Meitinger, Thomas
A1  - Melander, Olle
A1  - Metspalu, Andres
A1  - Mikaelsdottir, Evgenia K.
A1  - Milaneschi, Yuri
A1  - Miliku, Kozeta
A1  - Mishra, Pashupati P.
A1  - Program, V. A. Million Veteran
A1  - Mohlke, Karen L.
A1  - Mononen, Nina
A1  - Montgomery, Grant W.
A1  - Mook-Kanamori, Dennis O.
A1  - Mychaleckyj, Josyf C.
A1  - Nadkarni, Girish N.
A1  - Nalls, Mike A.
A1  - Nauck, Matthias
A1  - Nikus, Kjell
A1  - Ning, Boting
A1  - Nolte, Ilja M.
A1  - Noordam, Raymond
A1  - Olafsson, Isleifur
A1  - Oldehinkel, Albertine J.
A1  - Orho-Melander, Marju
A1  - Ouwehand, Willem H.
A1  - Padmanabhan, Sandosh
A1  - Palmer, Nicholette D.
A1  - Palsson, Runolfur
A1  - Penninx, Brenda W. J. H.
A1  - Perls, Thomas
A1  - Perola, Markus
A1  - Pirastu, Mario
A1  - Pirastu, Nicola
A1  - Pistis, Giorgio
A1  - Podgornaia, Anna I.
A1  - Polasek, Ozren
A1  - Ponte, Belen
A1  - Porteous, David J.
A1  - Poulain, Tanja
A1  - Pramstaller, Peter P.
A1  - Preuss, Michael H.
A1  - Prins, Bram P.
A1  - Province, Michael A.
A1  - Rabelink, Ton J.
A1  - Raffield, Laura M.
A1  - Raitakari, Olli T.
A1  - Reilly, Dermot F.
A1  - Rettig, Rainer
A1  - Rheinberger, Myriam
A1  - Rice, Kenneth M.
A1  - Ridker, Paul M.
A1  - Rivadeneira, Fernando
A1  - Rizzi, Federica
A1  - Roberts, David J.
A1  - Robino, Antonietta
A1  - Rossing, Peter
A1  - Rudan, Igor
A1  - Rueedi, Rico
A1  - Ruggiero, Daniela
A1  - Ryan, Kathleen A.
A1  - Saba, Yasaman
A1  - Sabanayagam, Charumathi
A1  - Salomaa, Veikko
A1  - Salvi, Erika
A1  - Saum, Kai-Uwe
A1  - Schmidt, Helena
A1  - Schmidt, Reinhold
A1  - Ben Schottker, 
A1  - Schulz, Christina-Alexandra
A1  - Schupf, Nicole
A1  - Shaffer, Christian M.
A1  - Shi, Yuan
A1  - Smith, Albert V.
A1  - Smith, Blair H.
A1  - Soranzo, Nicole
A1  - Spracklen, Cassandra N.
A1  - Strauch, Konstantin
A1  - Stringham, Heather M.
A1  - Stumvoll, Michael
A1  - Svensson, Per O.
A1  - Szymczak, Silke
A1  - Tai, E-Shyong
A1  - Tajuddin, Salman M.
A1  - Tan, Nicholas Y. Q.
A1  - Taylor, Kent D.
A1  - Teren, Andrej
A1  - Tham, Yih-Chung
A1  - Thiery, Joachim
A1  - Thio, Chris H. L.
A1  - Thomsen, Hauke
A1  - Thorleifsson, Gudmar
A1  - Toniolo, Daniela
A1  - Tonjes, Anke
A1  - Tremblay, Johanne
A1  - Tzoulaki, Ioanna
A1  - Uitterlinden, Andre G.
A1  - Vaccargiu, Simona
A1  - Van Dam, Rob M.
A1  - Van der Harst, Pim
A1  - Van Duijn, Cornelia M.
A1  - Edward, Digna R. Velez
A1  - Verweij, Niek
A1  - Vogelezang, Suzanne
A1  - Volker, Uwe
A1  - Vollenweider, Peter
A1  - Waeber, Gerard
A1  - Waldenberger, Melanie
A1  - Wallentin, Lars
A1  - Wang, Ya Xing
A1  - Wang, Chaolong
A1  - Waterworth, Dawn M.
A1  - Bin Wei, Wen
A1  - White, Harvey
A1  - Whitfield, John B.
A1  - Wild, Sarah H.
A1  - Wilson, James F.
A1  - Wojczynski, Mary K.
A1  - Wong, Charlene
A1  - Wong, Tien-Yin
A1  - Xu, Liang
A1  - Yang, Qiong
A1  - Yasuda, Masayuki
A1  - Yerges-Armstrong, Laura M.
A1  - Zhang, Weihua
A1  - Zonderman, Alan B.
A1  - Rotter, Jerome I.
A1  - Bochud, Murielle
A1  - Psaty, Bruce M.
A1  - Vitart, Veronique
A1  - Wilson, James G.
A1  - Dehghan, Abbas
A1  - Parsa, Afshin
A1  - Chasman, Daniel I.
A1  - Ho, Kevin
A1  - Morris, Andrew P.
A1  - Devuyst, Olivier
A1  - Akilesh, Shreeram
A1  - Pendergrass, Sarah A.
A1  - Sim, Xueling
A1  - Boger, Carsten A.
A1  - Okada, Yukinori
A1  - Edwards, Todd L.
A1  - Snieder, Harold
A1  - Stefansson, Kari
A1  - Hung, Adriana M.
A1  - Heid, Iris M.
A1  - Scholz, Markus
A1  - Teumer, Alexander
A1  - Kottgen, Anna
A1  - Pattaro, Cristian
T1  - A catalog of genetic loci associated with kidney function from analyses of a million individuals
JF  - Nature genetics
N2  - Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Y1  - 2019
U6  - https://doi.org/10.1038/s41588-019-0407-x
SN  - 1061-4036
SN  - 1546-1718
VL  - 51
IS  - 6
SP  - 957
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Archer, A.
A1  - Benbow, Wystan
A1  - Bird, Ralph
A1  - Brose, Robert
A1  - Buchovecky, M.
A1  - Buckley, J. H.
A1  - Chromey, A. J.
A1  - Cui, Wei
A1  - Falcone, A.
A1  - Feng, Qi
A1  - Finley, J. P.
A1  - Fortson, Lucy
A1  - Furniss, Amy
A1  - Gent, A.
A1  - Gueta, O.
A1  - Hanna, David
A1  - Hassan, T.
A1  - Hervet, Olivier
A1  - Holder, J.
A1  - Hughes, G.
A1  - Humensky, T. B.
A1  - Johnson, Caitlin A.
A1  - Kaaret, Philip
A1  - Kar, P.
A1  - Kelley-Hoskins, N.
A1  - Kertzman, M.
A1  - Kieda, David
A1  - Krennrich, F.
A1  - Kumar, S.
A1  - Lang, M. J.
A1  - Lin, T. T. Y.
A1  - McCann, A.
A1  - Moriarty, P.
A1  - Mukherjee, Reshmi
A1  - Ong, R. A.
A1  - Otte, Adam Nepomuk
A1  - Pandel, D.
A1  - Park, N.
A1  - Petrashyk, A.
A1  - Pohl, Martin
A1  - Pueschel, Elisa
A1  - Quinn, J.
A1  - Ragan, K.
A1  - Richards, Gregory T.
A1  - Roache, E.
A1  - Sadeh, I
A1  - Santander, Marcos
A1  - Scott, S. S.
A1  - Sembroski, G. H.
A1  - Shahinyan, Karlen
A1  - Sushch, Iurii
A1  - Tyler, J.
A1  - Wakely, S. P.
A1  - Weinstein, A.
A1  - Wells, R. M.
A1  - Wilcox, P.
A1  - Wilhelm, Alina
A1  - Williams, D. A.
A1  - Williamson, T. J.
A1  - Zitzer, B.
T1  - A Search for Pulsed Very High-energy Gamma-Rays from 13 Young Pulsars in Archival VERITAS Data
JF  - The astrophysical journal : an international review of spectroscopy and astronomical physics
N2  - We conduct a search for periodic emission in the very high-energy (VHE) gamma-ray band (E > 100 GeV) from a total of 13 pulsars in an archival VERITAS data set with a total exposure of over 450 hr. The set of pulsars includes many of the brightest young gamma-ray pulsars visible in the Northern Hemisphere. The data analysis resulted in nondetections of pulsed VHE gamma-rays from each pulsar. Upper limits on a potential VHE gamma-ray flux are derived at the 95% confidence level above three energy thresholds using two methods. These are the first such searches for pulsed VHE emission from each of the pulsars, and the obtained limits constrain a possible flux component manifesting at VHEs as is seen for the Crab pulsar.
KW  - gamma rays: general
KW  - pulsars: general
KW  - stars: neutron
Y1  - 2019
U6  - https://doi.org/10.3847/1538-4357/ab14f4
SN  - 0004-637X
SN  - 1538-4357
VL  - 876
IS  - 2
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Bridgwater, D.
A1  - Scott, D. J.
A1  - Balagansky, V. V.
A1  - Timmerman, Martin Jan
A1  - Marker, Michael
A1  - Bushmin, S. S.
A1  - Alexeyev, N. L.
A1  - Daly, J. S.
T1  - Age and provenance of early Precambrian metasedimentary rocks in the Lapland-Kola Belt, Russia : evidence from Pb and Nd isotopic data
Y1  - 2001
ER  - 
TY  - JOUR
A1  - Abeysekara, A. U.
A1  - Archer, A.
A1  - Benbow, Wystan
A1  - Bird, Ralph
A1  - Brill, A.
A1  - Brose, Robert
A1  - Buckley, J. H.
A1  - Christiansen, Jessie L.
A1  - Chromey, A. J.
A1  - Daniel, M. K.
A1  - Falcone, A.
A1  - Feng, Qi
A1  - Finley, John P.
A1  - Fortson, L.
A1  - Furniss, Amy
A1  - Gillanders, Gerard H.
A1  - Gueta, O.
A1  - Hanna, David
A1  - Hervet, O.
A1  - Holder, J.
A1  - Hughes, G.
A1  - Humensky, T. B.
A1  - Johnson, Caitlin A.
A1  - Kaaret, Philip
A1  - Kar, P.
A1  - Kelley-Hoskins, N.
A1  - Kertzman, M.
A1  - Kieda, David
A1  - Krause, Maria
A1  - Krennrich, F.
A1  - Lang, M. J.
A1  - Moriarty, P.
A1  - Mukherjee, Reshmi
A1  - Ong, R. A.
A1  - Otte, A. N.
A1  - Park, N.
A1  - Petrashyk, A.
A1  - Pohl, Martin
A1  - Pueschel, Elisa
A1  - Quinn, J.
A1  - Ragan, K.
A1  - Reynolds, P. T.
A1  - Richards, Gregory T.
A1  - Roache, E.
A1  - Rulten, C.
A1  - Sadeh, I.
A1  - Santander, Marcos
A1  - Scott, S. S.
A1  - Sembroski, G. H.
A1  - Shahinyan, Karlen
A1  - Tyler, J.
A1  - Wakely, S. P.
A1  - Weinstein, A.
A1  - Wells, R. M.
A1  - Wilcox, P.
A1  - Wilhelm, Alina
A1  - Williams, D. A.
A1  - Williamson, T. J.
A1  - Zitzer, B.
A1  - Kaur, A.
T1  - VERITAS Observations of the BL Lac Object TXS 0506+056
JF  - The astrophysical journal : an international review of spectroscopy and astronomical physics ; Part 2, Letters
N2  - On 2017 September 22, the IceCube Neutrino Observatory reported the detection of the high-energy neutrino event IC 170922A, of potential astrophysical origin. It was soon determined that the neutrino direction was consistent with the location of the gamma-ray blazar TXS 0506+056. (3FGL J0509.4+ 0541), which was in an elevated gamma-ray emission state as measured by the Fermi satellite. Very Energetic Radiation Imaging Telescope Array System (VERITAS) observations of the neutrino/blazar region started on 2017 September 23 in response to the neutrino alert and continued through 2018 February 6. While no significant very-high-energy (VHE; E > 100 GeV) emission was observed from the blazar by VERITAS in the two-week period immediately following the IceCube alert, TXS 0506+ 056 was detected by VERITAS with a significance of 5.8 standard deviations (sigma) in the full 35 hr data set. The average photon flux of the source during this period was (8.9 +/- 1.6). x. 10(-12) cm(-2) s(-1), or 1.6% of the Crab Nebula flux, above an energy threshold of 110 GeV, with a soft spectral index of 4.8. +/-. 1.3.
KW  - astroparticle physics
KW  - BL Lacertae objects: individual (TXS 0506+056, VER J0509+057)
KW  - gamma rays: galaxies
KW  - quasars: general
KW  - neutrinos
Y1  - 2018
U6  - https://doi.org/10.3847/2041-8213/aad053
SN  - 2041-8205
SN  - 2041-8213
VL  - 861
IS  - 2
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Deino, A. L.
A1  - Dommain, René
A1  - Keller, C. B.
A1  - Potts, R.
A1  - Behrensmeyer, A. K.
A1  - Beverly, E. J.
A1  - King, J.
A1  - Heil, C. W.
A1  - Stockhecke, M.
A1  - Brown, E. T.
A1  - Moerman, J.
A1  - deMenocal, P.
A1  - Deocampo, D.
A1  - Garcin, Yannick
A1  - Levin, N. E.
A1  - Lupien, R.
A1  - Owen, R. B.
A1  - Rabideaux, N.
A1  - Russell, J. M.
A1  - Scott, J.
A1  - Riedl, S.
A1  - Brady, K.
A1  - Bright, J.
A1  - Clark, J. B.
A1  - Cohen, A.
A1  - Faith, J. T.
A1  - Noren, A.
A1  - Muiruri, V.
A1  - Renaut, R.
A1  - Rucina, S.
A1  - Uno, K.
T1  - Chronostratigraphic model of a high-resolution drill core record of the past million years from the Koora Basin, south Kenya Rift: Overcoming the difficulties of variable sedimentation rate and hiatuses
JF  - Quaternary science reviews : the international multidisciplinary research and review journal
N2  - The Olorgesailie Drilling Project and the related Hominin Sites and Paleolakes Drilling Project in East Africa were initiated to test hypotheses and models linking environmental change to hominin evolution by drilling lake basin sediments adjacent to important archeological and paleoanthropological sites. Drill core OL012-1A recovered 139 m of sedimentary and volcaniclastic strata from the Koora paleolake basin, southern Kenya Rift, providing the opportunity to compare paleoenvironmental influences over the past million years with the parallel record exposed at the nearby Olorgesailie archeological site. To refine our ability to link core-to-outcrop paleoenvironmental records, we institute here a methodological framework for deriving a robust age model for the complex lithostratigraphy of OL012-1A. Firstly, chronostratigraphic control points for the core were established based on 4 Ar/39Ar ages from intercalated tephra deposits and a basal trachyte flow, as well as the stratigraphic position of the Brunhes-Matuyama geomagnetic reversal. This dataset was combined with the position and duration of paleosols, and analyzed using a new Bayesian algorithm for high-resolution age-depth modeling of hiatus-bearing stratigraphic sections. This model addresses three important aspects relevant to highly dynamic, nonlinear depositional environments: 1) correcting for variable rates of deposition, 2) accommodating hiatuses, and 3) quantifying realistic age uncertainty with centimetric resolution. Our method is applicable to typical depositional systems in extensional rifts as well as to drill cores from other dynamic terrestrial or aquatic environments. We use the core age model and lithostratigraphy to examine the inter connectivity of the Koora Basin to adjacent areas and sources of volcanism. (C) 2019 Elsevier Ltd. All rights reserved.
KW  - Pleistocene
KW  - Paleolimnology
KW  - East Africa
KW  - Sedimentology
KW  - Radiogenic isotopes
KW  - Bayesian modeling
KW  - paleosol
KW  - Tephrostratigraphy
KW  - Magnetostratigraphy
KW  - Kenya Rift
Y1  - 2019
U6  - https://doi.org/10.1016/j.quascirev.2019.05.009
SN  - 0277-3791
VL  - 215
SP  - 213
EP  - 231
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Mak, Chris S. K.
A1  - Hayer, Anna
A1  - Pascu, S. I.
A1  - Watkins, Scott E.
A1  - Holmes, Andrew B.
A1  - Köhler, Anna
A1  - Friend, Richard H.
T1  - Blue-to-green electrophosphorescence of iridium-based cyclometallated materials.
Y1  - 2005
UR  - http://www.rsc.org/ej/CC/2005/b508695g.pdf
U6  - https://doi.org/10.1039/b508695gb70
SN  - 0022-4936
ER  - 
TY  - JOUR
A1  - Houlahan, Jeff E.
A1  - Currie, David J.
A1  - Cottenie, Karl
A1  - Cumming, Graeme S.
A1  - Ernest, S. K. Morgan
A1  - Findlay, C. Scott
A1  - Fuhlendorf, Samuel D.
A1  - Gaedke, Ursula
A1  - Legendre, Pierre
A1  - Magnuson, John J.
A1  - McArdle, Brian H.
A1  - Muldavin, Esteban H.
A1  - Noble, David
A1  - Russell, Robert
A1  - Stevens, Richard D.
A1  - Willis, Trevor J.
A1  - Woiwod, Ian P.
A1  - Wondzell, Steve M.
T1  - Compensatory dynamics are rare in natural ecological communities
N2  - In population ecology, there has been a fundamental controversy about the relative importance of competition- driven (density-dependent) population regulation vs. abiotic influences such as temperature and precipitation. The same issue arises at the community level; are population sizes driven primarily by changes in the abundances of cooccurring competitors (i.e., compensatory dynamics), or do most species have a common response to environmental factors? Competitive interactions have had a central place in ecological theory, dating back to Gleason, Volterra, Hutchison and MacArthur, and, more recently, Hubbell's influential unified neutral theory of biodiversity and biogeography. If competitive interactions are important in driving year-to-year fluctuations in abundance, then changes in the abundance of one species should generally be accompanied by compensatory changes in the abundances of others. Thus, one necessary consequence of strong compensatory forces is that, on average, species within communities will covary negatively. Here we use measures of community covariance to assess the prevalence of negative covariance in 41 natural communities comprising different taxa at a range of spatial scales. We found that species in natural communities tended to covary positively rather than negatively, the opposite of what would be expected if compensatory dynamics were important. These findings suggest that abiotic factors such as temperature and precipitation are more important than competitive interactions in driving year-to-year fluctuations in species abundance within communities.
Y1  - 2007
UR  - http://www.pnas.org/
U6  - https://doi.org/10.1073/pnas.0603798104
SN  - 0027-8424
ER  - 
TY  - JOUR
A1  - Trinh, Christopher Q.
A1  - Ellis, Simon C.
A1  - Bland-Hawthorn, Joss
A1  - Lawrence, Jon S.
A1  - Horton, Anthony J.
A1  - Leon-Saval, Sergio G.
A1  - Shortridge, Keith
A1  - Bryant, Julia
A1  - Case, Scott
A1  - Colless, Matthew
A1  - Couch, Warrick
A1  - Freeman, Kenneth
A1  - Löhmannsröben, Hans-Gerd
A1  - Gers, Luke
A1  - Glazebrook, Karl
A1  - Haynes, Roger
A1  - Lee, Steve
A1  - O'Byrne, John
A1  - Miziarski, Stan
A1  - Roth, Martin M.
A1  - Schmidt, Brian
A1  - Tinney, Christopher G.
A1  - Zheng, Jessica
T1  - Gnosis - the first instrument to use fiber bragg gratings for OH  suppression
JF  - The astronomical journal
N2  - The near-infrared is an important part of the spectrum in astronomy, especially in cosmology because the light from objects in the early universe is redshifted to these wavelengths. However, deep near-infrared observations are extremely difficult to make from ground-based telescopes due to the bright background from the atmosphere. Nearly all of this background comes from the bright and narrow emission lines of atmospheric hydroxyl (OH) molecules. The atmospheric background cannot be easily removed from data because the brightness fluctuates unpredictably on short timescales. The sensitivity of ground-based optical astronomy far exceeds that of near-infrared astronomy because of this long-standing problem. GNOSIS is a prototype astrophotonic instrument that utilizes "OH suppression fibers" consisting of fiber Bragg gratings and photonic lanterns to suppress the 103 brightest atmospheric emission doublets between 1.47 and 1.7 mu m. GNOSIS was commissioned at the 3.9 m Anglo-Australian Telescope with the IRIS2 spectrograph to demonstrate the potential of OH suppression fibers, but may be potentially used with any telescope and spectrograph combination. Unlike previous atmospheric suppression techniques GNOSIS suppresses the lines before dispersion and in a manner that depends purely on wavelength. We present the instrument design and report the results of laboratory and on-sky tests from commissioning. While these tests demonstrated high throughput (approximate to 60%) and excellent suppression of the skylines by the OH suppression fibers, surprisingly GNOSIS produced no significant reduction in the interline background and the sensitivity of GNOSIS+IRIS2 is about the same as IRIS2. It is unclear whether the lack of reduction in the interline background is due to physical sources or systematic errors as the observations are detector noise dominated. OH suppression fibers could potentially impact ground-based astronomy at the level of adaptive optics or greater. However, until a clear reduction in the interline background and the corresponding increasing in sensitivity is demonstrated optimized OH suppression fibers paired with a fiber-fed spectrograph will at least provide a real benefit at low resolving powers.
KW  - atmospheric effects
KW  - infrared: diffuse background
KW  - instrumentation: miscellaneous
Y1  - 2013
U6  - https://doi.org/10.1088/0004-6256/145/2/51
SN  - 0004-6256
VL  - 145
IS  - 2
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Evans, Nicholas R.
A1  - Devi, Lekshmi Sudha
A1  - Mak, Chris S. K.
A1  - Watkins, Scott E.
A1  - Pascu, Sofia I.
A1  - Köhler, Anna
A1  - Friend, Richard H.
A1  - Williams, Charlotte K.
A1  - Holmes, Andrew B.
T1  - Triplet energy back transfer in conjugated polymers with pendant phosphorescent iridium complexes
N2  - The nature of Dexter triplet energy transfer between bonded systems of a red phosphorescent iridium complex 13 and a conjugated polymer, polyfluorene, has been investigated in electrophosphorescent organic light-emitting diodes. Red- emitting phosphorescent iridium complexes based on the [Ir(btp)2(acac)]fragment (where btp is 2-(2 '- benzo[b]thienyl)pyridinato and acac is acetylacetonate) have been attached either directly (spacerless) or through a - (CH2)(8)-chain (octamethylene-tethered) at the 9-position of a 9-octylfluorene host. The resulting dibromo- functionalized spacerless (8) or octamethylene-tethered (12) fluorene monomers were chain extended by Suzuki polycondensations using the bis(boronate)-terminated fluorene macromonomers 16 in the presence of end-capping chlorobenzene solvent to produce the statistical spacerless (17) and octamethylene-tethered ( 18) copolymers containing an even dispersion of the pendant phosphorescent fragments. The spacerless monomer 12 adopts a face-to-face conformation with a separation of only 3.6 angstrom between the iridium complex and fluorenyl group, as shown by X-ray analysis of a single crystal, and this facilitates intramolecular triplet energy transfer in the spacerless copolymers 17. The photo- and electroluminescence efficiencies of the octamethylene-tethered copolymers 18 are double those of the spacerless copolymers 17, and this is consistent with suppression of the back transfer of triplets from the red phosphorescent iridium complex to the polyfluorene backbone in 18. The incorporation of a -(CH2)(8)- chain between the polymer host and phosphorescent guest is thus an important design principle for achieving higher efficiencies in those electrophosphorescent organic light-emitting diodes for which the triplet energy levels of the host and guest are similar
Y1  - 2006
UR  - http://pubs.acs.org/journal/jacsat
U6  - https://doi.org/10.1021/Ja0584267
SN  - 0002-7863
ER  - 
TY  - JOUR
A1  - Janssen, Annette B. G.
A1  - Arhonditsis, George B.
A1  - Beusen, Arthur
A1  - Bolding, Karsten
A1  - Bruce, Louise
A1  - Bruggeman, Jorn
A1  - Couture, Raoul-Marie
A1  - Downing, Andrea S.
A1  - Elliott, J. Alex
A1  - Frassl, Marieke A.
A1  - Gal, Gideon
A1  - Gerla, Daan J.
A1  - Hipsey, Matthew R.
A1  - Hu, Fenjuan
A1  - Ives, Stephen C.
A1  - Janse, Jan H.
A1  - Jeppesen, Erik
A1  - Joehnk, Klaus D.
A1  - Kneis, David
A1  - Kong, Xiangzhen
A1  - Kuiper, Jan J.
A1  - Lehmann, Moritz K.
A1  - Lemmen, Carsten
A1  - Oezkundakci, Deniz
A1  - Petzoldt, Thomas
A1  - Rinke, Karsten
A1  - Robson, Barbara J.
A1  - Sachse, Rene
A1  - Schep, Sebastiaan A.
A1  - Schmid, Martin
A1  - Scholten, Huub
A1  - Teurlincx, Sven
A1  - Trolle, Dennis
A1  - Troost, Tineke A.
A1  - Van Dam, Anne A.
A1  - Van Gerven, Luuk P. A.
A1  - Weijerman, Mariska
A1  - Wells, Scott A.
A1  - Mooij, Wolf M.
T1  - Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective
JF  - Aquatic ecology : the international forum covering research in freshwater and marine environments
N2  - 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.
KW  - Water quality
KW  - Ecology
KW  - Geochemistry
KW  - Hydrology
KW  - Hydraulics
KW  - Hydrodynamics
KW  - Physical environment
KW  - Socio-economics
KW  - Model availability
KW  - Standardization
KW  - Linking
Y1  - 2015
U6  - https://doi.org/10.1007/s10452-015-9544-1
SN  - 1386-2588
SN  - 1573-5125
VL  - 49
IS  - 4
SP  - 513
EP  - 548
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Heistermann, Maik
A1  - Collis, Scott
A1  - Dixon, M. J.
A1  - Giangrande, S.
A1  - Helmus, J. J.
A1  - Kelley, B.
A1  - Koistinen, J.
A1  - Michelson, D. B.
A1  - Peura, M.
A1  - Pfaff, T.
A1  - Wolff, D. B.
T1  - The emergence of open-source software for the weather radar community
JF  - Bulletin of the American Meteorological Society
N2  - Weather radar analysis has become increasingly sophisticated over the past 50 years, and efforts to keep software up to date have generally lagged behind the needs of the users. We argue that progress has been impeded by the fact that software has not been developed and shared as a community.
 Recently, the situation has been changing. In this paper, the developers of a number of open-source software (OSS) projects highlight the potential of OSS to advance radar-related research. We argue that the community-based development of OSS holds the potential to reduce duplication of efforts and to create transparency in implemented algorithms while improving the quality and scope of the software. We also conclude that there is sufficiently mature technology to support collaboration across different software projects. This could allow for consolidation toward a set of interoperable software platforms, each designed to accommodate very specific user requirements.
Y1  - 2015
U6  - https://doi.org/10.1175/BAMS-D-13-00240.1
SN  - 0003-0007
SN  - 1520-0477
VL  - 96
IS  - 1
SP  - 117
EP  - +
PB  - American Meteorological Soc.
CY  - Boston
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  - Radchuk, Viktoriia
A1  - Reed, Thomas
A1  - Teplitsky, Celine
A1  - van de Pol, Martijn
A1  - Charmantier, Anne
A1  - Hassall, Christopher
A1  - Adamik, Peter
A1  - Adriaensen, Frank
A1  - Ahola, Markus P.
A1  - Arcese, Peter
A1  - Miguel Aviles, Jesus
A1  - Balbontin, Javier
A1  - Berg, Karl S.
A1  - Borras, Antoni
A1  - Burthe, Sarah
A1  - Clobert, Jean
A1  - Dehnhard, Nina
A1  - de Lope, Florentino
A1  - Dhondt, Andre A.
A1  - Dingemanse, Niels J.
A1  - Doi, Hideyuki
A1  - Eeva, Tapio
A1  - Fickel, Jörns
A1  - Filella, Iolanda
A1  - Fossoy, Frode
A1  - Goodenough, Anne E.
A1  - Hall, Stephen J. G.
A1  - Hansson, Bengt
A1  - Harris, Michael
A1  - Hasselquist, Dennis
A1  - Hickler, Thomas
A1  - Jasmin Radha, Jasmin
A1  - Kharouba, Heather
A1  - Gabriel Martinez, Juan
A1  - Mihoub, Jean-Baptiste
A1  - Mills, James A.
A1  - Molina-Morales, Mercedes
A1  - Moksnes, Arne
A1  - Ozgul, Arpat
A1  - Parejo, Deseada
A1  - Pilard, Philippe
A1  - Poisbleau, Maud
A1  - Rousset, Francois
A1  - Rödel, Mark-Oliver
A1  - Scott, David
A1  - Carlos Senar, Juan
A1  - Stefanescu, Constanti
A1  - Stokke, Bard G.
A1  - Kusano, Tamotsu
A1  - Tarka, Maja
A1  - Tarwater, Corey E.
A1  - Thonicke, Kirsten
A1  - Thorley, Jack
A1  - Wilting, Andreas
A1  - Tryjanowski, Piotr
A1  - Merila, Juha
A1  - Sheldon, Ben C.
A1  - Moller, Anders Pape
A1  - Matthysen, Erik
A1  - Janzen, Fredric
A1  - Dobson, F. Stephen
A1  - Visser, Marcel E.
A1  - Beissinger, Steven R.
A1  - Courtiol, Alexandre
A1  - Kramer-Schadt, Stephanie
T1  - Adaptive responses of animals to climate change are most likely insufficient
JF  - Nature Communications
N2  - Biological responses to climate change have been widely documented across taxa and regions, but it remains unclear whether species are maintaining a good match between phenotype and environment, i.e. whether observed trait changes are adaptive. Here we reviewed 10,090 abstracts and extracted data from 71 studies reported in 58 relevant publications, to assess quantitatively whether phenotypic trait changes associated with climate change are adaptive in animals. A meta-analysis focussing on birds, the taxon best represented in our dataset, suggests that global warming has not systematically affected morphological traits, but has advanced phenological traits. We demonstrate that these advances are adaptive for some species, but imperfect as evidenced by the observed consistent selection for earlier timing. Application of a theoretical model indicates that the evolutionary load imposed by incomplete adaptive responses to ongoing climate change may already be threatening the persistence of species.
Y1  - 2019
U6  - https://doi.org/10.1038/s41467-019-10924-4
SN  - 2041-1723
VL  - 10
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Evans, Nancy Remage
A1  - DeGioia-Eastwood, Kathleen
A1  - Gagne, Marc
A1  - Townsley, Leisa
A1  - Broos, Patrick S.
A1  - Wolk, Scott J.
A1  - Naze, Yael
A1  - Corcoran, Michael
A1  - Oskinova, Lida
A1  - Moffat, Anthony F. J.
A1  - Wang, Junfeng
A1  - Walborn, Nolan R.
T1  - The search for low-mass companions of b stars in the Carina Nebula cluster trumpler 16
JF  - The astrophysical journal : an international review of spectroscopy and astronomical physics ; Supplement series
N2  - We have developed lists of likely B3-A0 stars (called "late B" stars) in the young cluster Trumpler 16. The following criteria were used: location within 3' of eta Car, an appropriate V and B - V combination, and proper motion (where available). Color and magnitude cuts have been made assuming an E(B - V) = 0.55 mag +/- 0.1, which is a good approximation close to the center of Trumpler 16. These lists have been cross-correlated with X-ray sources found in the Chandra Carina Complex Project. Previous studies have shown that only very rarely (if at all) do late main-sequence B stars produce X-rays. We present evidence that the X-ray-detected sources are binaries with low-mass companions, since stars less massive than 1.4 M-circle dot are strong X-ray sources at the age of the cluster. Both the median X-ray energies and X-ray luminosities of these sources are in good agreement with values for typical low-mass coronal X-ray sources. We find that 39% of the late B stars based on a list with proper motions have low-mass companions. Similarly, 32% of a sample without proper motions have low-mass companions. We discuss the X-ray detection completeness. These results on low-mass companions of intermediate-mass stars are complementary to spectroscopic and interferometric results and probe new parameter space of low-mass companions at all separations. They do not support a steeply rising distribution of mass ratios to low masses for intermediate-mass (5 M-circle dot) primaries, such as would be found by random pairing from the initial mass function.
KW  - open clusters and associations: individual (Trumpler 16)
KW  - stars: massive
Y1  - 2011
U6  - https://doi.org/10.1088/0067-0049/194/1/13
SN  - 0067-0049
VL  - 194
IS  - 1
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - JOUR
A1  - Noonan, Michael J.
A1  - Tucker, Marlee A.
A1  - Fleming, Christen H.
A1  - Akre, Thomas S.
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Altmann, Jeanne
A1  - Antunes, Pamela Castro
A1  - Belant, Jerrold L.
A1  - Beyer, Dean
A1  - Blaum, Niels
A1  - Boehning-Gaese, Katrin
A1  - Cullen Jr, Laury
A1  - de Paula, Rogerio Cunha
A1  - Dekker, Jasja
A1  - Drescher-Lehman, Jonathan
A1  - Farwig, Nina
A1  - Fichtel, Claudia
A1  - Fischer, Christina
A1  - Ford, Adam T.
A1  - Goheen, Jacob R.
A1  - Janssen, Rene
A1  - Jeltsch, Florian
A1  - Kauffman, Matthew
A1  - Kappeler, Peter M.
A1  - Koch, Flavia
A1  - LaPoint, Scott
A1  - Markham, A. Catherine
A1  - Medici, Emilia Patricia
A1  - Morato, Ronaldo G.
A1  - Nathan, Ran
A1  - Oliveira-Santos, Luiz Gustavo R.
A1  - Olson, Kirk A.
A1  - Patterson, Bruce D.
A1  - Paviolo, Agustin
A1  - Ramalho, Emiliano Estero
A1  - Rosner, Sascha
A1  - Schabo, Dana G.
A1  - Selva, Nuria
A1  - Sergiel, Agnieszka
A1  - da Silva, Marina Xavier
A1  - Spiegel, Orr
A1  - Thompson, Peter
A1  - Ullmann, Wiebke
A1  - Zieba, Filip
A1  - Zwijacz-Kozica, Tomasz
A1  - Fagan, William F.
A1  - Mueller, Thomas
A1  - Calabrese, Justin M.
T1  - A comprehensive analysis of autocorrelation and bias in home range estimation
JF  - Ecological monographs : a publication of the Ecological Society of America.
N2  - Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated‐Gaussian reference function [AKDE], Silverman's rule of thumb, and least squares cross‐validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half‐sample cross‐validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area
) to quantify the information content of each data set. We found that AKDE 95% area estimates were larger than conventional IID‐based estimates by a mean factor of 2. The median number of cross‐validated locations included in the hold‐out sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area. To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animal's movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area. While 72% of the 369 empirical data sets had >1,000 total observations, only 4% had an N̂ area >1,000, where 30% had an N̂ area <30. In this frequently encountered scenario of small N̂ area, AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.
KW  - animal movement
KW  - kernel density estimation
KW  - local convex hull
KW  - minimum convex polygon
KW  - range distribution
KW  - space use
KW  - telemetry
KW  - tracking data
Y1  - 2018
U6  - https://doi.org/10.1002/ecm.1344
SN  - 0012-9615
SN  - 1557-7015
VL  - 89
IS  - 2
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Tucker, Marlee A.
A1  - Boehning-Gaese, Katrin
A1  - Fagan, William F.
A1  - Fryxell, John M.
A1  - Van Moorter, Bram
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Allen, Andrew M.
A1  - Attias, Nina
A1  - Avgar, Tal
A1  - Bartlam-Brooks, Hattie
A1  - Bayarbaatar, Buuveibaatar
A1  - Belant, Jerrold L.
A1  - Bertassoni, Alessandra
A1  - Beyer, Dean
A1  - Bidner, Laura
A1  - van Beest, Floris M.
A1  - Blake, Stephen
A1  - Blaum, Niels
A1  - Bracis, Chloe
A1  - Brown, Danielle
A1  - de Bruyn, P. J. Nico
A1  - Cagnacci, Francesca
A1  - Calabrese, Justin M.
A1  - Camilo-Alves, Constanca
A1  - Chamaille-Jammes, Simon
A1  - Chiaradia, Andre
A1  - Davidson, Sarah C.
A1  - Dennis, Todd
A1  - DeStefano, Stephen
A1  - Diefenbach, Duane
A1  - Douglas-Hamilton, Iain
A1  - Fennessy, Julian
A1  - Fichtel, Claudia
A1  - Fiedler, Wolfgang
A1  - Fischer, Christina
A1  - Fischhoff, Ilya
A1  - Fleming, Christen H.
A1  - Ford, Adam T.
A1  - Fritz, Susanne A.
A1  - Gehr, Benedikt
A1  - Goheen, Jacob R.
A1  - Gurarie, Eliezer
A1  - Hebblewhite, Mark
A1  - Heurich, Marco
A1  - Hewison, A. J. Mark
A1  - Hof, Christian
A1  - Hurme, Edward
A1  - Isbell, Lynne A.
A1  - Janssen, Rene
A1  - Jeltsch, Florian
A1  - Kaczensky, Petra
A1  - Kane, Adam
A1  - Kappeler, Peter M.
A1  - Kauffman, Matthew
A1  - Kays, Roland
A1  - Kimuyu, Duncan
A1  - Koch, Flavia
A1  - Kranstauber, Bart
A1  - LaPoint, Scott
A1  - Leimgruber, Peter
A1  - Linnell, John D. C.
A1  - Lopez-Lopez, Pascual
A1  - Markham, A. Catherine
A1  - Mattisson, Jenny
A1  - Medici, Emilia Patricia
A1  - Mellone, Ugo
A1  - Merrill, Evelyn
A1  - Mourao, Guilherme de Miranda
A1  - Morato, Ronaldo G.
A1  - Morellet, Nicolas
A1  - Morrison, Thomas A.
A1  - Diaz-Munoz, Samuel L.
A1  - Mysterud, Atle
A1  - Nandintsetseg, Dejid
A1  - Nathan, Ran
A1  - Niamir, Aidin
A1  - Odden, John
A1  - Oliveira-Santos, Luiz Gustavo R.
A1  - Olson, Kirk A.
A1  - Patterson, Bruce D.
A1  - de Paula, Rogerio Cunha
A1  - Pedrotti, Luca
A1  - Reineking, Bjorn
A1  - Rimmler, Martin
A1  - Rogers, Tracey L.
A1  - Rolandsen, Christer Moe
A1  - Rosenberry, Christopher S.
A1  - Rubenstein, Daniel I.
A1  - Safi, Kamran
A1  - Said, Sonia
A1  - Sapir, Nir
A1  - Sawyer, Hall
A1  - Schmidt, Niels Martin
A1  - Selva, Nuria
A1  - Sergiel, Agnieszka
A1  - Shiilegdamba, Enkhtuvshin
A1  - Silva, Joao Paulo
A1  - Singh, Navinder
A1  - Solberg, Erling J.
A1  - Spiegel, Orr
A1  - Strand, Olav
A1  - Sundaresan, Siva
A1  - Ullmann, Wiebke
A1  - Voigt, Ulrich
A1  - Wall, Jake
A1  - Wattles, David
A1  - Wikelski, Martin
A1  - Wilmers, Christopher C.
A1  - Wilson, John W.
A1  - Wittemyer, George
A1  - Zieba, Filip
A1  - Zwijacz-Kozica, Tomasz
A1  - Mueller, Thomas
T1  - Moving in the Anthropocene
BT  - global reductions in terrestrial mammalian movements
JF  - Science
N2  - Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.
Y1  - 2018
U6  - https://doi.org/10.1126/science.aam9712
SN  - 0036-8075
SN  - 1095-9203
VL  - 359
IS  - 6374
SP  - 466
EP  - 469
PB  - American Assoc. for the Advancement of Science
CY  - Washington
ER  - 
TY  - JOUR
A1  - Ripoll, Jean-Francois
A1  - Loridan, Vivien
A1  - Denton, Michael H.
A1  - Cunningham, Gregory
A1  - Reeves, G.
A1  - Santolik, O.
A1  - Fennell, Joseph
A1  - Turner, Drew L.
A1  - Drozdov, Alexander
A1  - Villa, Juan Sebastian Cervantes
A1  - Shprits, Yuri Y.
A1  - Thaller, Scott A.
A1  - Kurth, William S.
A1  - Kletzing, Craig A.
A1  - Henderson, Michael  G.
A1  - Ukhorskiy, Aleksandr Y.
T1  - Observations and Fokker-Planck Simulations of the L-Shell, Energy, and Times
JF  - Journal of geophysical research : Space physics
N2  - The evolution of the radiation belts in L-shell (L), energy (E), and equatorial pitch angle (alpha(0)) is analyzed during the calm 11-day interval (4-15 March) following the 1 March 2013 storm. Magnetic Electron and Ion Spectrometer (MagEIS) observations from Van Allen Probes are interpreted alongside 1D and 3D Fokker-Planck simulations combined with consistent event-driven scattering modeling from whistler mode hiss waves. Three (L, E, alpha(0)) regions persist through 11 days of hiss wave scattering; the pitch angle-dependent inner belt core (L similar to <2.2 and E < 700 keV), pitch angle homogeneous outer belt low-energy core (L > similar to 5 and E similar to < 100 keV), and a distinct pocket of electrons (L similar to [4.5, 5.5] and E similar to [0.7, 2] MeV). The pitch angle homogeneous outer belt is explained by the diffusion coefficients that are roughly constant for alpha(0) similar to <60 degrees, E > 100 keV, 3.5 < L < L-pp similar to 6. Thus, observed unidirectional flux decays can be used to estimate local pitch angle diffusion rates in that region. Top-hat distributions are computed and observed at L similar to 3-3.5 and E = 100-300 keV.
KW  - radiation belts
KW  - wave-particle interactions
KW  - electron lifetime
KW  - pitch angle diffusion coefficient
KW  - hiss waves
Y1  - 2018
U6  - https://doi.org/10.1029/2018JA026111
SN  - 2169-9380
SN  - 2169-9402
VL  - 124
IS  - 2
SP  - 1125
EP  - 1142
PB  - American Geophysical Union
CY  - Washington
ER  -