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1. Greenhouse Gas Balance of Manure Management: Effect of Slurry Separation and Incineration of Solids

Author: Society for Engineering in Agriculture (Australia), Sommer, SG, Petersen, SO, and Olesen, JE
Published: 2009

2. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (vol 7, 225, 2020)

Author: Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D
Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41597-021-00851-9.
Published: 2021

3. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author: Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D
Abstract: The following authors were omitted from the original version of this Data Descriptor: Markus Reichstein and Nicolas Vuichard. Both contributed to the code development and N. Vuichard contributed to the processing of the ERA-Interim data downscaling. Furthermore, the contribution of the co-author Frank Tiedemann was re-evaluated relative to the colleague Corinna Rebmann, both working at the same sites, and based on this re-evaluation a substitution in the co-author list is implemented (with Rebmann replacing Tiedemann). Finally, two affiliations were listed incorrectly and are corrected here (entries 190 and 193). The author list and affiliations have been amended to address these omissions in both the HTML and PDF versions.
Published: 2021

4. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author: Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Ribeca, A, van Ingen, C, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Bruemmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Gruenwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hoertnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lueers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tiedemann, F, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Ribeca, A, van Ingen, C, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Bruemmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Gruenwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hoertnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lueers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tiedemann, F, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D
Abstract: The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
Published: 2020

5. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author: Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tiedemann F, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D, Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tiedemann F, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, and Papale D
Abstract: The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
Published: 2020

6. Climate change impact and adaptation for wheat protein

Author: Asseng, S, Martre, P, Maiorano, A, Roetter, RP, O'Leary, GJ, Fitzgerald, GJ, Girousse, C, Motzo, R, Giunta, F, Babar, MA, Reynolds, MP, Kheir, AMS, Thorburn, PJ, Waha, K, Ruane, AC, Aggarwal, PK, Ahmed, M, Balkovic, J, Basso, B, Biernath, C, Bindi, M, Cammarano, D, Challinor, AJ, De Sanctis, G, Dumont, B, Rezaei, EE, Fereres, E, Ferrise, R, Garcia-Vila, M, Gayler, S, Gao, Y, Horan, H, Hoogenboom, G, Izaurralde, RC, Jabloun, M, Jones, CD, Kassie, BT, Kersebaum, K-C, Klein, C, Koehler, A-K, Liu, B, Minoli, S, San Martin, MM, Mueller, C, Kumar, SN, Nendel, C, Olesen, JE, Palosuo, T, Porter, JR, Priesack, E, Ripoche, D, Semenov, MA, Stockle, C, Stratonovitch, P, Streck, T, Supit, I, Tao, F, Van der Velde, M, Wallach, D, Wang, E, Webber, H, Wolf, J, Xiao, L, Zhang, Z, Zhao, Z, Zhu, Y, Ewert, F, Asseng, S, Martre, P, Maiorano, A, Roetter, RP, O'Leary, GJ, Fitzgerald, GJ, Girousse, C, Motzo, R, Giunta, F, Babar, MA, Reynolds, MP, Kheir, AMS, Thorburn, PJ, Waha, K, Ruane, AC, Aggarwal, PK, Ahmed, M, Balkovic, J, Basso, B, Biernath, C, Bindi, M, Cammarano, D, Challinor, AJ, De Sanctis, G, Dumont, B, Rezaei, EE, Fereres, E, Ferrise, R, Garcia-Vila, M, Gayler, S, Gao, Y, Horan, H, Hoogenboom, G, Izaurralde, RC, Jabloun, M, Jones, CD, Kassie, BT, Kersebaum, K-C, Klein, C, Koehler, A-K, Liu, B, Minoli, S, San Martin, MM, Mueller, C, Kumar, SN, Nendel, C, Olesen, JE, Palosuo, T, Porter, JR, Priesack, E, Ripoche, D, Semenov, MA, Stockle, C, Stratonovitch, P, Streck, T, Supit, I, Tao, F, Van der Velde, M, Wallach, D, Wang, E, Webber, H, Wolf, J, Xiao, L, Zhang, Z, Zhao, Z, Zhu, Y, and Ewert, F
Abstract: Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32-multi-model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low-rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2 . Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by -1.1 percentage points, representing a relative change of -8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
Published: 2019

7. Priority questions in multidisciplinary drought research

Author: Trnka, M, primary, Hayes, M, additional, Jurečka, F, additional, Bartošová, L, additional, Anderson, M, additional, Brázdil, R, additional, Brown, J, additional, Camarero, JJ, additional, Cudlín, P, additional, Dobrovolný, P, additional, Eitzinger, J, additional, Feng, S, additional, Finnessey, T, additional, Gregorič, G, additional, Havlik, P, additional, Hain, C, additional, Holman, I, additional, Johnson, D, additional, Kersebaum, KC, additional, Ljungqvist, FC, additional, Luterbacher, J, additional, Micale, F, additional, Hartl-Meier, C, additional, Možný, M, additional, Nejedlik, P, additional, Olesen, JE, additional, Ruiz-Ramos, M, additional, Rötter, RP, additional, Senay, G, additional, Vicente-Serrano, SM, additional, Svoboda, M, additional, Susnik, A, additional, Tadesse, T, additional, Vizina, A, additional, Wardlow, B, additional, Žalud, Z, additional, and Büntgen, U, additional
Published: 2018
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8. Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO₂

Author: Cammarano, D, Rötter, RP, Asseng, S, Ewert, F, Wallach, D, Martre, P, Hatfield, JL, Jones, JW, Rosenzweig, C, Ruane, AC, Boote, KJ, Thorburn, PJ, Kersebaum, KC, Aggarwal, PK, Angulo, C, Basso, B, Bertuzzi, P, Biernath, C, Brisson, N, Challinor, AJ, Doltra, J, Gayler, S, Goldberg, R, Heng, L, Hooker, JE, Hunt, LA, Ingwersen, J, Izaurralde, RC, Müller, C, Kumar, SN, Nendel, C, O'Leary, G, Olesen, JE, Osborne, TM, Palosuo, T, Priesack, E, Ripoche, D, Semenov, MA, Shcherbak, I, Steduto, P, Stöckle, CO, Stratonovitch, P, Streck, T, Supit, I, Tao, F, Travasso, M, Waha, K, White, JW, and Wolf, J
Abstract: Projected global warming and population growth will reduce future water availability for agriculture. Thus, it is essential to increase the efficiency in using water to ensure crop productivity. Quantifying crop water use (WU; i.e. actual evapotranspiration) is a critical step towards this goal. Here, sixteen wheat simulation models were used to quantify sources of model uncertainty and to estimate the relative changes and variability between models for simulated WU, water use efficiency (WUE, WU per unit of grain dry mass produced), transpiration efficiency (Teff, transpiration per kg of unit of grain yield dry mass produced), grain yield, crop transpiration and soil evaporation at increased temperatures and elevated atmospheric carbon dioxide concentrations ([CO2]). The greatest uncertainty in simulating water use, potential evapotranspiration, crop transpiration and soil evaporation was due to differences in how crop transpiration was modelled and accounted for 50% of the total variability among models. The simulation results for the sensitivity to temperature indicated that crop WU will decline with increasing temperature due to reduced growing seasons. The uncertainties in simulated crop WU, and in particularly due to uncertainties in simulating crop transpiration, were greater under conditions of increased temperatures and with high temperatures in combination with elevated atmospheric [CO2] concentrations. Hence the simulation of crop WU, and in particularly crop transpiration under higher temperature, needs to be improved and evaluated with field measurements before models can be used to simulate climate change impacts on future crop water demand.
Published: 2016

9. Changing regional weather-crop yield relationships across Europe between 1901 and 2012

Author: Trnka, M, primary, Olesen, JE, additional, Kersebaum, KC, additional, Rötter, RP, additional, Brázdil, R, additional, Eitzinger, J, additional, Jansen, S, additional, Skjelvåg, AO, additional, Peltonen-Sainio, P, additional, Hlavinka, P, additional, Balek, J, additional, Eckersten, H, additional, Gobin, A, additional, Vuc˘etić, V, additional, Dalla Marta, A, additional, Orlandini, S, additional, Alexandrov, V, additional, Semerádová, D, additional, Šte˘pánek, P, additional, Svobodová, E, additional, and Rajdl, K, additional
Published: 2016
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10. Land-use and land-use change effects on nitrous oxide emissions in the seasonally dry ecosystems of Zimbabwe: A review

Author: Nyamadzawo, G, Chirinda, N, Mapanda, F, Nyamangara, J, Wuta, M, Nyamugafata, P, and Olesen, JE
Subjects: Greenhouse gases, miombo, mopane, savanna
Abstract: Nitrous oxide (N2O) is a greenhouse gas (GHG) with a considerable warming potential and involvement in the destruction of stratospheric ozone. The conversion of savannas to agricultural land has the potential of changing the characteristics and gas exchange of the ecosystems dramatically. The savanna woodlands cover over 95% of Zimbabwe’s forest area, and are divided into five woodland types: Acacia, miombo, mopane, teak (Baikiaea Plurijuga) and Terminalia-Combretaceae. This review is aimed at exploring the effects of land-use changes and land management practices on N2O emissions in Zimbabwe. Available data on N2O emission were collected from standing and deforested miombo woodlands, grasslands and agricultural lands. Estimated mean annual N2O emissions from savanna ecosystems in Zimbabwe were 17.1 Gg N2O, while annual fluxes from arable land (cultivated and fallow) was 3.19 Gg N2O. Biogenic N2O emissions were mainly concentrated in the wet season as N2O production is strongly enhanced by high soil moisture. During the dry season pyrogenic emissions were also important sources of N2O, contributing, an estimated 6.7 Gg N2O annually. Land use change in the form of biomass burning and conversion to grassland or arable land may be considerable source of N2O, whereas current agricultural practices do not seem to provide a large source of N2O in Zimbabwe. Seasonally dry savanna ecosystems, thus, constitute an important source of N2O, which should not be ignored in national and regional estimates of emissions of N2O. Land-use change from savanna to agricultural production results in an immediate increase in N2O emissions. However, the emissions will decrease with time. The current estimates are associated with large uncertainties, thus, there is need for more detailed studies on the effects of land-use change on N2O emissions and on spatial and temporal variations in N2O emissions from the different savanna ecosystems.
Published: 2012

11. Projecting the future ecological state of lakes in Denmark in a 6 degree warming scenario

Author: Trolle, D, primary, Nielsen, A, additional, Rolighed, J, additional, Thodsen, H, additional, Andersen, HE, additional, Karlsson, IB, additional, Refsgaard, JC, additional, Olesen, JE, additional, Bolding, K, additional, Kronvang, B, additional, Søndergaard, M, additional, and Jeppesen, E, additional
Published: 2015
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12. Sensitivity of field-scale winter wheat production in Denmark to climate variability and climate change

Author: Olesen, JE, primary, Jensen, T, additional, and Petersen, J, additional
Published: 2000
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13. Early intervention for adolescents with Patellofemoral Pain Syndrome - a pragmatic cluster randomised controlled trial

Author: Rathleff Michael S, Roos Ewa M, Olesen Jens L, and Rasmussen Sten
Subjects: Patellofemoral Pain Syndrome, Anterior Knee Pain, Physiotherapy, Adolescents, Diseases of the musculoskeletal system, RC925-935
Abstract: Abstract Background Self-reported knee pain is highly prevalent among adolescents. As much as 50% of the non-specific knee pain may be attributed to Patellofemoral Pain Syndrome (PFPS). In the short term, exercise therapy appears to have a better effect than patient education consisting of written information and general advice on exercise or compared with placebo treatment. But the long-term effect of exercise therapy compared with patient education is conflicting. The purpose of this study is to examine the short- and long-term effectiveness of patient education compared with patient education and multimodal physiotherapy applied at a very early stage of the condition among adolescents. Methods/Design This study is a single blind pragmatic cluster randomised controlled trial. Four upper secondary schools have been invited to participate in the study (approximately 2500 students, aged 15-19 years). Students are asked to answer an online questionnaire regarding musculoskeletal pain. The students who report knee pain are contacted by telephone and offered a clinical examination by a rheumatologist. Subjects who fit the inclusion criteria and are diagnosed with PFPS are invited to participate in the study. A minimum of 102 students with PFPS are then cluster-randomised into two intervention groups based on which school they attend. Both intervention groups receive written information and education. In addition to patient education, one group receives multimodal physiotherapy consisting primarily of neuromuscular training of the muscles around the foot, knee and hip and home exercises. The students with PFPS fill out self-reported questionnaires at baseline, 3, 6, 12 and 24 months after inclusion in the study. The primary outcome measure is perception of recovery measured on a 7-point Likert scale ranging from "completely recovered" to "worse than ever" at 12 months. Discussion This study is designed to investigate the effectiveness of patient education compared with patient education combined with multimodal physiotherapy. If patient education and multimodal physiotherapy applied at an early stage of Patellofemoral Pain Syndrome proves effective, it may serve as a basis for optimising the clinical pathway for those suffering from the condition, where specific emphasis can be placed on early diagnosis and early treatment. Trial Registration clinicaltrials.gov reference: NCT01438762
Published: 2012
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14. Temporal development and collapse of an Arctic plant-pollinator network

Author: Olesen Jens M, Pradal Clementine, and Wiuf Carsten
Subjects: Ecology, QH540-549.5
Abstract: Abstract Background The temporal dynamics and formation of plant-pollinator networks are difficult to study as it requires detailed observations of how the networks change over time. Understanding the temporal dynamics might provide insight into sustainability and robustness of the networks and how they react to environmental changes, such as global warming. Here we study an Arctic plant-pollinator network in two consecutive years using a simple mathematical model and describe the temporal dynamics (daily assembly and disassembly of links) by random mechanisms. Results We develop a mathematical model with parameters governed by the probabilities for entering, leaving and making connections in the network and demonstrate that A. The dynamics is described by very similar parameters in both years despite a strong turnover in the composition of the pollinator community and different climate conditions, B. There is a drastic change in the temporal behaviour a few days before the end of the season in both years. This change leads to the collapse of the network and does not correlate with weather parameters, C. We estimate that the number of available pollinator species is about 80 species of which 75-80% are observed in each year, D. The network does not reach an equilibrium state (as defined by our model) before the collapse set in and the season is over. Conclusion We have shown that the temporal dynamics of an Arctic plant-pollinator network can be described by a simple mathematical model and that the model allows us to draw biologically interesting conclusions. Our model makes it possible to investigate how the network topology changes with changes in parameter values and might provide means to study the effect of climate on plant-pollinator networks.
Published: 2009
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15. The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Author: Wallach, D, Palosuo, T, Thorburn, P, Hochman, Z, Gourdain, E, Andrianasolo, F, Asseng, S, Basso, B, Buis, S, Crout, N, Dibari, C, Dumont, B, Ferrise, R, Gaiser, T, Garcia, C, Gayler, S, Ghahramani, A, Hiremath, S, Hoek, S, Horan, H, Hoogenboom, G, Huang, M, Jabloun, M, Jansson, P-E, Jing, Q, Justes, E, Kersebaum, KC, Klosterhalfen, A, Launay, M, Lewan, E, Luo, Q, Maestrini, B, Mielenz, H, Moriondo, M, Nariman Zadeh, H, Padovan, G, Olesen, JE, Poyda, A, Priesack, E, Pullens, JWM, Qian, B, Schütze, N, Shelia, V, Souissi, A, Specka, X, Srivastava, AK, Stella, T, Streck, T, Trombi, G, Wallor, E, Wang, J, Weber, TKD, Weihermüller, L, de Wit, A, Wöhling, T, Xiao, L, Zhao, C, Zhu, Y, and Seidel, SJ
Published: 2021
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16. Multi-model evaluation of phenology prediction for wheat in Australia

Author: Wallach, D, Palosuo, T, Thorburn, P, Hochman, Z, Andrianasolo, F, Asseng, S, Basso, B, Buis, S, Crout, N, Dumont, B, Ferrise, R, Gaiser, T, Gayler, S, Hiremath, S, Hoek, S, Horan, H, Hoogenboom, G, Huang, M, Jabloun, M, Jansson, P-E, Jing, Q, Justes, E, Kersebaum, KC, Launay, M, Lewan, E, Luo, Q, Maestrini, B, Moriondo, M, Olesen, JE, Padovan, G, Poyda, A, Priesack, E, Pullens, JWM, Qian, B, Schütze, N, Shelia, V, Souissi, A, Specka, X, Kumar Srivastava, A, Stella, T, Streck, T, Trombi, G, Wallor, E, Wang, J, Weber, TKD, Weihermüller, L, de Wit, A, Wöhling, T, Xiao, L, Zhao, C, Zhu, Y, and Seidel, SJ
Published: 2021
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17. How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Author: Wallach, D, Palosuo, T, Thorburn, P, Gourdain, E, Asseng, S, Basso, B, Buis, S, Crout, N, Dibari, C, Dumont, B, Ferrise, R, Gaiser, T, Garcia, C, Gayler, S, Ghahramani, A, Hochman, Z, Hoek, S, Hoogenboom, G, Horan, H, Huang, M, Jabloun, M, Jing, Q, Justes, E, Kersebaum, KC, Klosterhalfen, A, Launay, M, Luo, Q, Maestrini, B, Mielenz, H, Moriondo, M, Nariman Zadeh, H, Olesen, JE, Poyda, A, Priesack, E, Pullens, JWM, Qian, B, Schütze, N, Shelia, V, Souissi, A, Specka, X, Srivastava, AK, Stella, T, Streck, T, Trombi, G, Wallor, E, Wang, J, Weber, TKD, Weihermüller, L, de Wit, A, Wöhling, T, Xiao, L, Zhao, C, Zhu, Y, and Seidel, SJ
Published: 2021
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18. Analysis of shared heritability in common disorders of the brain

Author: Brainstorm Consortium, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K, Walters, Raymond K, Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J, Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A, Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H, Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-François, Duron, Emmanuelle, Vardarajan, Badri N, Reitz, Christiane, Goate, Alison M, Huentelman, Matthew J, Kamboh, M Ilyas, Larson, Eric B, Rogaeva, Ekaterina, St George-Hyslop, Peter, Hakonarson, Hakon, Kukull, Walter A, Farrer, Lindsay A, Barnes, Lisa L, Beach, Thomas G, Demirci, F Yesim, Head, Elizabeth, Hulette, Christine M, Jicha, Gregory A, Kauwe, John SK, Kaye, Jeffrey A, Leverenz, James B, Levey, Allan I, Lieberman, Andrew P, Pankratz, Vernon S, Poon, Wayne W, Quinn, Joseph F, Saykin, Andrew J, Schneider, Lon S, Smith, Amanda G, Sonnen, Joshua A, Stern, Robert A, Van Deerlin, Vivianna M, Van Eldik, Linda J, Harold, Denise, Russo, Giancarlo, Rubinsztein, David C, Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C, Hampel, Harald, Owen, Michael J, Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M, Rossor, Martin, Lupton, Michelle K, Hoffmann, Per, Kornhuber, Johannes, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C, Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, Van Der Lee, Sven J, De Jager, Philip L, Geschwind, Daniel H, Riemenschneider, Matthias, Riedel-Heller, Steffi, Rotter, Jerome I, Ransmayr, Gerhard, Hyman, Bradley T, Cruchaga, Carlos, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, Cuenca-Leon, Ester, Furlotte, Nicholas, Kurth, Tobias, Ligthart, Lannie, Terwindt, Gisela M, Freilinger, Tobias, Ran, Caroline, Gordon, Scott D, Borck, Guntram, Adams, Hieab HH, Lehtimäki, Terho, Wedenoja, Juho, Buring, Julie E, Schürks, Markus, Hrafnsdottir, Maria, Hottenga, Jouke-Jan, Penninx, Brenda, Artto, Ville, Kaunisto, Mari, Vepsäläinen, Salli, Martin, Nicholas G, Montgomery, Grant W, Kurki, Mitja I, Hämäläinen, Eija, Huang, Hailiang, Huang, Jie, Sandor, Cynthia, Webber, Caleb, Muller-Myhsok, Bertram, Schreiber, Stefan, Salomaa, Veikko, Loehrer, Elizabeth, Göbel, Hartmut, Macaya, Alfons, Pozo-Rosich, Patricia, Hansen, Thomas, Werge, Thomas, Kaprio, Jaakko, Metspalu, Andres, Kubisch, Christian, Ferrari, Michel D, Belin, Andrea C, Van Den Maagdenberg, Arn MJM, Zwart, John-Anker, Boomsma, Dorret, Eriksson, Nicholas, Olesen, Jes, Chasman, Daniel I, Nyholt, Dale R, Avbersek, Andreja, Baum, Larry, Berkovic, Samuel, Bradfield, Jonathan, Buono, Russell J, Catarino, Claudia B, Cossette, Patrick, De Jonghe, Peter, Depondt, Chantal, Dlugos, Dennis, Ferraro, Thomas N, French, Jacqueline, Hjalgrim, Helle, Jamnadas-Khoda, Jennifer, Kälviäinen, Reetta, Kunz, Wolfram S, Lerche, Holger, Leu, Costin, Lindhout, Dick, Lo, Warren, Lowenstein, Daniel, McCormack, Mark, Møller, Rikke S, Molloy, Anne, Ng, Ping-Wing, Oliver, Karen, Privitera, Michael, Radtke, Rodney, Ruppert, Ann-Kathrin, Sander, Thomas, Schachter, Steven, Schankin, Christoph, Scheffer, Ingrid, Schoch, Susanne, Sisodiya, Sanjay M, Smith, Philip, Sperling, Michael, Striano, Pasquale, Surges, Rainer, Thomas, G Neil, Visscher, Frank, Whelan, Christopher D, Zara, Federico, Heinzen, Erin L, Marson, Anthony, Becker, Felicitas, Stroink, Hans, Zimprich, Fritz, Gasser, Thomas, Gibbs, Raphael, Heutink, Peter, Martinez, Maria, Morris, Huw R, Sharma, Manu, Ryten, Mina, Mok, Kin Y, Pulit, Sara, Bevan, Steve, Holliday, Elizabeth, Attia, John, Battey, Thomas, Boncoraglio, Giorgio, Thijs, Vincent, Chen, Wei-Min, Mitchell, Braxton, Rothwell, Peter, Sharma, Pankaj, Sudlow, Cathie, Vicente, Astrid, Markus, Hugh, Kourkoulis, Christina, Pera, Joana, Raffeld, Miriam, Silliman, Scott, Boraska Perica, Vesna, Thornton, Laura M, Huckins, Laura M, William Rayner, N, Lewis, Cathryn M, Gratacos, Monica, Rybakowski, Filip, Keski-Rahkonen, Anna, Raevuori, Anu, Hudson, James I, Reichborn-Kjennerud, Ted, Monteleone, Palmiero, Karwautz, Andreas, Mannik, Katrin, Baker, Jessica H, O'Toole, Julie K, Trace, Sara E, Davis, Oliver SP, Helder, Sietske G, Ehrlich, Stefan, Herpertz-Dahlmann, Beate, Danner, Unna N, Van Elburg, Annemarie A, Clementi, Maurizio, Forzan, Monica, Docampo, Elisa, Lissowska, Jolanta, Hauser, Joanna, Tortorella, Alfonso, Maj, Mario, Gonidakis, Fragiskos, Tziouvas, Konstantinos, Papezova, Hana, Yilmaz, Zeynep, Wagner, Gudrun, Cohen-Woods, Sarah, Herms, Stefan, Julià, Antonio, Rabionet, Raquel, Dick, Danielle M, Ripatti, Samuli, Andreassen, Ole A, Espeseth, Thomas, Lundervold, Astri J, Steen, Vidar M, Pinto, Dalila, Scherer, Stephen W, Aschauer, Harald, Schosser, Alexandra, Alfredsson, Lars, Padyukov, Leonid, Halmi, Katherine A, Mitchell, James, Strober, Michael, Bergen, Andrew W, Kaye, Walter, Szatkiewicz, Jin Peng, Cormand, Bru, Ramos-Quiroga, Josep Antoni, Sánchez-Mora, Cristina, Ribasés, Marta, Casas, Miguel, Hervas, Amaia, Arranz, Maria Jesús, Haavik, Jan, Zayats, Tetyana, Johansson, Stefan, Williams, Nigel, Dempfle, Astrid, Rothenberger, Aribert, Kuntsi, Jonna, Oades, Robert D, Banaschewski, Tobias, Franke, Barbara, Buitelaar, Jan K, Arias Vasquez, Alejandro, Doyle, Alysa E, Reif, Andreas, Lesch, Klaus-Peter, Freitag, Christine, Rivero, Olga, Palmason, Haukur, Romanos, Marcel, Langley, Kate, Rietschel, Marcella, Witt, Stephanie H, Dalsgaard, Soeren, Børglum, Anders D, Waldman, Irwin, Wilmot, Beth, Molly, Nikolas, Bau, Claiton HD, Crosbie, Jennifer, Schachar, Russell, Loo, Sandra K, McGough, James J, Grevet, Eugenio H, Medland, Sarah E, Robinson, Elise, Weiss, Lauren A, Bacchelli, Elena, Bailey, Anthony, Bal, Vanessa, Battaglia, Agatino, Betancur, Catalina, Bolton, Patrick, Cantor, Rita, Celestino-Soper, Patrícia, Dawson, Geraldine, De Rubeis, Silvia, Duque, Frederico, Green, Andrew, Klauck, Sabine M, Leboyer, Marion, Levitt, Pat, Maestrini, Elena, Mane, Shrikant, De-Luca, Daniel Moreno, Parr, Jeremy, Regan, Regina, Reichenberg, Abraham, Sandin, Sven, Vorstman, Jacob, Wassink, Thomas, Wijsman, Ellen, Cook, Edwin, Santangelo, Susan, Delorme, Richard, Rogé, Bernadette, Magalhaes, Tiago, Arking, Dan, Schulze, Thomas G, Thompson, Robert C, Strohmaier, Jana, Matthews, Keith, Melle, Ingrid, Morris, Derek, Blackwood, Douglas, McIntosh, Andrew, Bergen, Sarah E, Schalling, Martin, Jamain, Stéphane, Maaser, Anna, Fischer, Sascha B, Reinbold, Céline S, Fullerton, Janice M, Guzman-Parra, José, Mayoral, Fermin, Schofield, Peter R, Cichon, Sven, Mühleisen, Thomas W, Degenhardt, Franziska, Schumacher, Johannes, Bauer, Michael, Mitchell, Philip B, Gershon, Elliot S, Rice, John, Potash, James B, Zandi, Peter P, Craddock, Nick, Ferrier, I Nicol, Alda, Martin, Rouleau, Guy A, Turecki, Gustavo, Ophoff, Roel, Pato, Carlos, Anjorin, Adebayo, Stahl, Eli, Leber, Markus, Czerski, Piotr M, Cruceanu, Cristiana, Jones, Ian R, Posthuma, Danielle, Andlauer, Till FM, Forstner, Andreas J, Streit, Fabian, Baune, Bernhard T, Air, Tracy, Sinnamon, Grant, Wray, Naomi R, MacIntyre, Donald J, Porteous, David, Homuth, Georg, Rivera, Margarita, Grove, Jakob, Middeldorp, Christel M, Hickie, Ian, Pergadia, Michele, Mehta, Divya, Smit, Johannes H, Jansen, Rick, De Geus, Eco, Dunn, Erin, Li, Qingqin S, Nauck, Matthias, Schoevers, Robert A, Beekman, Aartjan Tf, Knowles, James A, Viktorin, Alexander, Arnold, Paul, Barr, Cathy L, Bedoya-Berrio, Gabriel, Bienvenu, O Joseph, Brentani, Helena, Burton, Christie, Camarena, Beatriz, Cappi, Carolina, Cath, Danielle, Cavallini, Maria, Cusi, Daniele, Darrow, Sabrina, Denys, Damiaan, Derks, Eske M, Dietrich, Andrea, Fernandez, Thomas, Figee, Martijn, Freimer, Nelson, Gerber, Gloria, Grados, Marco, Greenberg, Erica, Hanna, Gregory L, Hartmann, Andreas, Hirschtritt, Matthew E, Hoekstra, Pieter J, Huang, Alden, Huyser, Chaim, Illmann, Cornelia, Jenike, Michael, Kuperman, Samuel, Leventhal, Bennett, Lochner, Christine, Lyon, Gholson J, Macciardi, Fabio, Madruga-Garrido, Marcos, Malaty, Irene A, Maras, Athanasios, McGrath, Lauren, Miguel, Eurípedes C, Mir, Pablo, Nestadt, Gerald, Nicolini, Humberto, Okun, Michael S, Pakstis, Andrew, Paschou, Peristera, Piacentini, John, Pittenger, Christopher, Plessen, Kerstin, Ramensky, Vasily, Ramos, Eliana M, Reus, Victor, Richter, Margaret A, Riddle, Mark A, Robertson, Mary M, Roessner, Veit, Rosário, Maria, Samuels, Jack F, Sandor, Paul, Stein, Dan J, Tsetsos, Fotis, Van Nieuwerburgh, Filip, Weatherall, Sarah, Wendland, Jens R, Wolanczyk, Tomasz, Worbe, Yulia, Zai, Gwyneth, Goes, Fernando S, McLaughlin, Nicole, Nestadt, Paul S, Grabe, Hans-Jorgen, Depienne, Christel, Konkashbaev, Anuar, Lanzagorta, Nuria, Valencia-Duarte, Ana, Bramon, Elvira, Buccola, Nancy, Cahn, Wiepke, Cairns, Murray, Chong, Siow A, Cohen, David, Crespo-Facorro, Benedicto, Crowley, James, Davidson, Michael, DeLisi, Lynn, Dinan, Timothy, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Haan, Lieuwe, Hougaard, David, Karachanak-Yankova, Sena, Khrunin, Andrey, Klovins, Janis, Kučinskas, Vaidutis, Lee Chee Keong, Jimmy, Limborska, Svetlana, Loughland, Carmel, Lönnqvist, Jouko, Maher, Brion, Mattheisen, Manuel, McDonald, Colm, Murphy, Kieran C, Nenadic, Igor, Van Os, Jim, Pantelis, Christos, Pato, Michele, Petryshen, Tracey, Quested, Digby, Roussos, Panos, Sanders, Alan R, Schall, Ulrich, Schwab, Sibylle G, Sim, Kang, So, Hon-Cheong, Stögmann, Elisabeth, Subramaniam, Mythily, Toncheva, Draga, Waddington, John, Walters, James, Weiser, Mark, Cheng, Wei, Cloninger, Robert, Curtis, David, Gejman, Pablo V, Henskens, Frans, Mattingsdal, Morten, Oh, Sang-Yun, Scott, Rodney, Webb, Bradley, Breen, Gerome, Churchhouse, Claire, Bulik, Cynthia M, Daly, Mark, Dichgans, Martin, Faraone, Stephen V, Guerreiro, Rita, Holmans, Peter, Kendler, Kenneth S, Koeleman, Bobby, Mathews, Carol A, Price, Alkes, Scharf, Jeremiah, Sklar, Pamela, Williams, Julie, Wood, Nicholas W, Cotsapas, Chris, Palotie, Aarno, Smoller, Jordan W, Sullivan, Patrick, Rosand, Jonathan, Corvin, Aiden, Neale, Benjamin M, Schott, Jonathan M, Anney, Richard, Elia, Josephine, Grigoroiu-Serbanescu, Maria, Edenberg, Howard J, Murray, Robin, Massachusetts General Hospital [Boston], Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], UK Dementia Research Institute (UK DRI), University College of London [London] (UCL), School of Psychology [Cardiff University], Cardiff University, Institute for Stroke and Dementia Research (ISD), Klinikum der Universität [München]-Ludwig Maximilian University [Munich] (LMU), New Jersey Institute of Technology [Newark] (NJIT), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Laboratoire de Biotechnologie et Microbiologie Appliquée (LBMA), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neurologie [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Gériatrie générale et aigüe [Paris], AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Columbia University [New York], Dpt of Neuroscience [New York], Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), University of Washington [Seattle], Tanz Center Research in Neurodegenerative Diseases [Toronto], University of Toronto, Children’s Hospital of Philadelphia (CHOP ), University of Kentucky (UK), School of medicine, Duke University [Durham], College of medicine, Brigham Young University (BYU), Oregon Health and Science University [Portland] (OHSU), Cleveland Clinic, Department of Neurology, Emory University [Atlanta, GA], Medical School, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Health sciences center, The University of New Mexico [Albuquerque], Institute for Memory Impairments and Neurological Disorders [Irvine], University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Indiana University - Purdue University Indianapolis (IUPUI), Indiana University System, Keck School of Medicine [Los Angeles], University of Southern California (USC), University of South Florida [Tampa] (USF), University of Utah School of Medicine [Salt Lake City], Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Perelman School of Medicine, University of Pennsylvania, Dublin City University [Dublin] (DCU), Functional Genomics Center Zurich, Universität Zürich [Zürich] = University of Zurich (UZH)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Cambridge Institute for Medical Research (CIMR), University of Cambridge [UK] (CAM), Aristotle University of Thessaloniki, Maurice Wohl Clinical Neuroscience Institut, King‘s College London, Dementia Research Centre [London] (DRC), Groupe de recherche clinique Alzheimer Precision Medicine (GRC 21 - APM), Sorbonne Université (SU), MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council-Cardiff University, MRC Prion Unit [London], Queen's University [Belfast] (QUB), School of Life Sciences, University of Nottingham, UK (UON), Rheinische Friedrich-Wilhelms-Universität Bonn, Centre de Recherche en Cancérologie de Marseille (CRCM), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), QIMR Berghofer Medical Research Institute, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), School of Medicine [Dublin], Trinity College Dublin, Department of Medicine, University of Texas Health Science Center, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health [Boston], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Columbia University Medical Center (CUMC), David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), Saarland University [Saarbrücken], Universität Leipzig, School of Medicine [Los Angeles], Johannes Kepler Universität Linz - Johannes Kepler University Linz [Autriche] (JKU), Department of Neurology [Boston], Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], School of Medecine, Washington University in Saint Louis (WUSTL), Oslo University Hospital [Oslo], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, 23andMe Inc., Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Department of Biological Psychology [Amsterdam], Vrije Universiteit Amsterdam [Amsterdam] (VU), Leiden University Medical Center (LUMC), Universiteit Leiden, University-Hospital Munich-Großhadern [München], Karolinska Institutet [Stockholm], Universität Ulm - Ulm University [Ulm, Allemagne], Faculty of Medicine and Life Sciences [Tampere], University of Tampere [Finland], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), Landspitali National University Hospital of Iceland, VU University Medical Center [Amsterdam], Boston VA Research Institute (BVARI), Department of Physiology, Anatomy and Genetics [Oxford], University of Oxford, Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Christian-Albrechts-Universität zu Kiel (CAU), Institute of Clinical Molecular Biology, Kiel University, National Institute for Health and Welfare [Helsinki], Harvard T.H. Chan School of Public Health, Universitat Autònoma de Barcelona (UAB), Vall d'Hebron University Hospital [Barcelona], University of Tartu, Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), Center for Human and Clinical Genetics, Universiteit Leiden-Universiteit Leiden, University of Copenhagen = Københavns Universitet (UCPH), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology [Brisbane] (QUT), Discipline of Psychiatry [Dublin], Trinity College Dublin-Trinity College Dublin, Institute of Neurology [London], The University of Hong Kong (HKU), University of Melbourne, Cooper Medical School of Rowan University [Camden] (CMSRU), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), University of Antwerp (UA), Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), New York University School of Medicine (NYU), New York University School of Medicine, NYU System (NYU)-NYU System (NYU), University of Eastern Finland, Universitätsklinikum Bonn (UKB), Hertie Institute for Clinical Brain Research [Tubingen], University of Tübingen, NIHR Biomedical Research Centre [London], Guy's and St Thomas' NHS Foundation Trust-King‘s College London, University Medical Center [Utrecht], Ohio State University [Columbus] (OSU), University of California [San Francisco] (UC San Francisco), University of California (UC), Royal College of Surgeons in Ireland (RCSI), University of Southern Denmark (SDU), United Christian Hospital [Hong Kong] (UCH), University of Cincinnati (UC), University of Cologne, Inselspital Bern, University of Wales, Jefferson University Hospitals, University of Liverpool, Medizinische Universität Wien = Medical University of Vienna, National Institutes of Health [Bethesda] (NIH), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Institut de Recherche en Santé Digestive (IRSD ), Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Lincoln, University of Newcastle [Callaghan, Australia] (UoN), Fondazione IRCCS Istituto Neurologico 'Carlo Besta', University of Virginia, University of Maryland [Baltimore County] (UMBC), University of Maryland System, Royal Holloway [University of London] (RHUL), University of Edinburgh, Universidade de Lisboa = University of Lisbon (ULISBOA), Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), University of Split, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), McLean Hospital [Belmont, Ma.], Norwegian Institute of Public Health [Oslo] (NIPH), Università degli Studi di Salerno = University of Salerno (UNISA), University of Bristol [Bristol], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), Utrecht University [Utrecht], Azienda Ospedaliera di Padova, Université de Liège, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology (MCMCC), Università degli Studi di Perugia = University of Perugia (UNIPG), Università degli studi della Campania 'Luigi Vanvitelli' = University of the Study of Campania Luigi Vanvitelli, National and Kapodistrian University of Athens (NKUA), Charles University [Prague] (CU), SURFACES, Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Flinders University [Adelaide, Australia], Virginia Commonwealth University (VCU), University of Oslo (UiO), University of Bergen (UiB), Weill Medical College of Cornell University [New York], University of North Dakota [Grand Forks] (UND), Oregon Research Institute (ORI), University of California [San Diego] (UC San Diego), Universitat de Barcelona (UB), Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Hospital Universitario Mutua de Terrassa, School of Computer Science and Communication [Stockholm], Royal Institute of Technology [Stockholm] (KTH ), Jefferson (Philadelphia University + Thomas Jefferson University), University Medical Center Göttingen (UMG), Universität Heidelberg [Heidelberg] = Heidelberg University, Radboud University Medical Center [Nijmegen], Universitätsklinikum Frankfurt, Maastricht University [Maastricht], Institute of Psychological Medicine and Clinical Neurosciences, Aarhus University [Aarhus], University of Iowa [Iowa City], Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), The Hospital for sick children [Toronto] (SickKids), Hospital de Clínicas de Porto Alegre (HCPA), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), University of British Columbia (UBC), IRCCS Fondazione Stella Maris [Pisa], Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Neuroscience Paris Seine (NPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Universidade de Coimbra [Coimbra], Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), Our Lady's Children's Hospital Crumlin (OLCHC), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Children’s Hospital Los Angeles [Los Angeles], Yale University [New Haven], Brown University, Institute of Neuroscience [Newcastle] (ION), Newcastle University [Newcastle], Department of Medical Epidemiology and Biostatistics (MEB), Division of Medical Genetics [Seattle], University of Illinois [Chicago] (UIC), University of Illinois System, Maine Medical Center Research Institute (MMCRI), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre d’Etudes et de Recherches en Psychopathologie et Psychologie de la Santé (CERPPS), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Johns Hopkins University School of Medicine [Baltimore], Ludwig Maximilian University [Munich] (LMU), University of Michigan System, Department of Genetic Epidemiology in Psychiatry [Mannhein], Universität Heidelberg [Heidelberg] = Heidelberg University-Central Institute of Mental Health Mannheim, University of Dundee, National University of Ireland [Galway] (NUI Galway), University Hospital Basel [Basel], Neuroscience Research Australia (NeuRA), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, UNSW Faculty of Medicine [Sydney], University of New South Wales [Sydney] (UNSW), University of Chicago, Johns Hopkins University (JHU), Johns Hopkins Bloomberg School of Public Health [Baltimore], Dalhousie University [Halifax], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], State University of New York (SUNY), University Hospital of Cologne [Cologne], University of Adelaide, James Cook University (JCU), Institute for Molecular Bioscience, University of Queensland [Brisbane], Greifswald University Hospital, The University of Sydney, University Medical Center Groningen [Groningen] (UMCG), University of Calgary, University Health Network, Universidad de Antioquia = University of Antioquia [Medellín, Colombia], Universidade de São Paulo = University of São Paulo (USP), Ospedale San Raffaele, University of Amsterdam [Amsterdam] (UvA), University of Groningen [Groningen], Yale School of Medicine [New Haven, Connecticut] (YSM), Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Cape Town, Cold Spring Harbor Laboratory (CSHL), Universidad de Sevilla / University of Sevilla, University of Florida [Gainesville] (UF), University of Denver, Purdue University [West Lafayette], Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Moscow Institute of Physics and Technology [Moscow] (MIPT), Sunnybrook Health Sciences Centre, Federal Institute of São Paulo (IFSP), Democritus University of Thrace (DUTH), Universiteit Gent = Ghent University (UGENT), Medical University of Warsaw - Poland, Sorbonne Université - Faculté de Médecine - Département d'Enseignement et de Recherche en Médecine Générale, Universitätsklinikum Essen [Universität Duisburg-Essen] (Uniklinik Essen), Vanderbilt University Medical Center [Nashville], Vanderbilt University [Nashville], Institute of Mental Health [Singapore], Universidad de Cantabria [Santander], Tel Aviv University (TAU), University College Cork (UCC), University of Rochester [USA], Statens Serum Institut [Copenhagen], Софийски университет = Sofia University, Russian Academy of Sciences [Moscow] (RAS), Latvian Biomedical Research and Study Centre [Rīga], Vilnius University [Vilnius], Nanyang Technological University [Singapour], Department of Life Sciences, Imperial College London, Jena University Hospital [Jena], Oxford University Hospitals NHS Trust, Schizophrenia Research Institute [Sydney], Faculty of Science, Medicine and Health [Wollongong], University of Wollongong [Australia], City University of Hong Kong [Hong Kong] (CUHK), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), This work was supported by grants 1R01MH10764901 and 5U01MH09443203 from the National Institute of Mental Health, as well as the Orion Farmos Research Foundation (V.A.) and the Fannie and John Hertz Foundation (H.K.F.). Consortium specific funding is detailed in the supplementary materials ('Study-specific acknowledgments')., Brainstorm Consortium, University of Kentucky, University of California [Irvine] (UCI), University of California-University of California, University of Pennsylvania [Philadelphia], Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Universität Leipzig [Leipzig], Johannes Kepler University Linz [Linz] (JKU), University of Helsinki-University of Helsinki, University of Helsinki, University of Oxford [Oxford], University of Copenhagen = Københavns Universitet (KU), University of California [San Francisco] (UCSF), University of California, Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Newcastle [Australia] (UoN), University of Virginia [Charlottesville], Universidade de Lisboa (ULISBOA), Università degli Studi di Salerno (UNISA), Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Università degli Studi di Perugia (UNIPG), Università degli studi della Campania 'Luigi Vanvitelli', Universität Heidelberg [Heidelberg], Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Universität Heidelberg [Heidelberg]-Central Institute of Mental Health Mannheim, VU University Amsterdam, Universidade de São Paulo (USP), Yale University School of Medicine, Universidad de Sevilla, Universiteit Gent = Ghent University [Belgium] (UGENT), Service de Psychiatrie de l'Enfant et de l'Adolescent [CHU Pitié-Salpêtrière] (SPEA), Tel Aviv University [Tel Aviv], University of Sofia, Anttila, Verneri, Bulik-Sullivan, Brendan, Finucane, Hilary K., Walters, Raymond K., Bras, Jose, Duncan, Laramie, Escott-Price, Valentina, Falcone, Guido J., Gormley, Padhraig, Malik, Rainer, Patsopoulos, Nikolaos A., Ripke, Stephan, Wei, Zhi, Yu, Dongmei, Lee, Phil H., Turley, Patrick, Grenier-Boley, Benjamin, Chouraki, Vincent, Kamatani, Yoichiro, Berr, Claudine, Letenneur, Luc, Hannequin, Didier, Amouyel, Philippe, Boland, Anne, Deleuze, Jean-Françoi, Duron, Emmanuelle, Vardarajan, Badri N., Reitz, Christiane, Goate, Alison M., Huentelman, Matthew J., Ilyas Kamboh, M., Larson, Eric B., Rogaeva, Ekaterina, George-Hyslop, Peter St, Hakonarson, Hakon, Kukull, Walter A., Farrer, Lindsay A., Barnes, Lisa L., Beach, Thomas G., Yesim Demirci, F., Head, Elizabeth, Hulette, Christine M., Jicha, Gregory A., Kauwe, John S.K., Kaye, Jeffrey A., Leverenz, James B., Levey, Allan I., Lieberman, Andrew P., Pankratz, Vernon S., Poon, Wayne W., Quinn, Joseph F., Saykin, Andrew J., Schneider, Lon S., Smith, Amanda G., Sonnen, Joshua A., Stern, Robert A., Van Deerlin, Vivianna M., Van Eldik, Linda J., Harold, Denise, Russo, Giancarlo, Rubinsztein, David C., Bayer, Anthony, Tsolaki, Magda, Proitsi, Petra, Fox, Nick C., Hampel, Harald, Owen, Michael J., Mead, Simon, Passmore, Peter, Morgan, Kevin, Nöthen, Markus M., Rossor, Martin, Lupton, Michelle K., Hoffmann, Per, Kornhuber, Johanne, Lawlor, Brian, McQuillin, Andrew, Al-Chalabi, Ammar, Bis, Joshua C., Ruiz, Agustin, Boada, Mercè, Seshadri, Sudha, Beiser, Alexa, Rice, Kenneth, Van Der Lee, Sven J., De Jager, Philip L., Geschwind, Daniel H., Riemenschneider, Matthia, Riedel-Heller, Steffi, Rotter, Jerome I., Ransmayr, Gerhard, Hyman, Bradley T., Cruchaga, Carlo, Alegret, Montserrat, Winsvold, Bendik, Palta, Priit, Farh, Kai-How, Cuenca-Leon, Ester, Furlotte, Nichola, Kurth, Tobia, Ligthart, Lannie, Terwindt, Gisela M., Freilinger, Tobia, Ran, Caroline, Gordon, Scott D., Borck, Guntram, Adams, Hieab H.H., Lehtimäki, Terho, Wedenoja, Juho, Buring, Julie E., Schürks, Marku, Hrafnsdottir, Maria, Hottenga, Jouke-Jan, Penninx, Brenda, Artto, Ville, Kaunisto, Mari, Vepsäläinen, Salli, Martin, Nicholas G., Montgomery, Grant W., Kurki, Mitja I., Hämäläinen, Eija, Huang, Hailiang, Huang, Jie, Sandor, Cynthia, Webber, Caleb, Muller-Myhsok, Bertram, Schreiber, Stefan, Salomaa, Veikko, Loehrer, Elizabeth, Göbel, Hartmut, Macaya, Alfon, Pozo-Rosich, Patricia, Hansen, Thoma, Werge, Thoma, Kaprio, Jaakko, Metspalu, Andre, Kubisch, Christian, Ferrari, Michel D., Belin, Andrea C., Van Den Maagdenberg, Arn M. J. M., Zwart, John-Anker, Boomsma, Dorret, Eriksson, Nichola, Olesen, Je, Chasman, Daniel I., Nyholt, Dale R., Avbersek, Andreja, Baum, Larry, Berkovic, Samuel, Bradfield, Jonathan, Buono, Russell, Catarino, Claudia B., Cossette, Patrick, De Jonghe, Peter, Depondt, Chantal, Dlugos, Denni, Ferraro, Thomas N., French, Jacqueline, Hjalgrim, Helle, Jamnadas-Khoda, Jennifer, Kälviäinen, Reetta, Kunz, Wolfram S., Lerche, Holger, Leu, Costin, Lindhout, Dick, Lo, Warren, Lowenstein, Daniel, McCormack, Mark, Møller, Rikke S., Molloy, Anne, Ng, Ping-Wing, Oliver, Karen, Privitera, Michael, Radtke, Rodney, Ruppert, Ann-Kathrin, Sander, Thoma, Schachter, Steven, Schankin, Christoph, Scheffer, Ingrid, Schoch, Susanne, Sisodiya, Sanjay M., Smith, Philip, Sperling, Michael, Striano, Pasquale, Surges, Rainer, Neil Thomas, G., Visscher, Frank, Whelan, Christopher D., Zara, Federico, Heinzen, Erin L., Marson, Anthony, Becker, Felicita, Stroink, Han, Zimprich, Fritz, Gasser, Thoma, Gibbs, Raphael, Heutink, Peter, Martinez, Maria, Morris, Huw R., Sharma, Manu, Ryten, Mina, Mok, Kin Y., Pulit, Sara, Bevan, Steve, Holliday, Elizabeth, Attia, John, Battey, Thoma, Boncoraglio, Giorgio, Thijs, Vincent, Chen, Wei-Min, Mitchell, Braxton, Rothwell, Peter, Sharma, Pankaj, Sudlow, Cathie, Vicente, Astrid, Markus, Hugh, Kourkoulis, Christina, Pera, Joana, Raffeld, Miriam, Silliman, Scott, Perica, Vesna Boraska, Thornton, Laura M., Huckins, Laura M., William Rayner, N., Lewis, Cathryn M., Gratacos, Monica, Rybakowski, Filip, Keski-Rahkonen, Anna, Raevuori, Anu, Hudson, James I., Reichborn-Kjennerud, Ted, Monteleone, Palmiero, Karwautz, Andrea, Mannik, Katrin, Baker, Jessica H., O'Toole, Julie K., Trace, Sara E., Davis, Oliver S. P., Helder, Sietske G., Ehrlich, Stefan, Herpertz-Dahlmann, Beate, Danner, Unna N., Van Elburg, Annemarie A., Clementi, Maurizio, Forzan, Monica, Docampo, Elisa, Lissowska, Jolanta, Hauser, Joanna, Tortorella, Alfonso, Maj, Mario, Gonidakis, Fragisko, Tziouvas, Konstantino, Papezova, Hana, Yilmaz, Zeynep, Wagner, Gudrun, Cohen-Woods, Sarah, Herms, Stefan, Julia, Antonio, Rabionet, Raquel, Dick, Danielle M., Ripatti, Samuli, Andreassen, Ole A., Espeseth, Thoma, Lundervold, Astri J., Steen, Vidar M., Pinto, Dalila, Scherer, Stephen W., Aschauer, Harald, Schosser, Alexandra, Alfredsson, Lar, Padyukov, Leonid, Halmi, Katherine A., Mitchell, Jame, Strober, Michael, Bergen, Andrew W., Kaye, Walter, Szatkiewicz, Jin Peng, Cormand, Bru, Ramos-Quiroga, Josep Antoni, Sánchez-Mora, Cristina, Ribasés, Marta, Casas, Miguel, Hervas, Amaia, Arranz, Maria Jesú, Haavik, Jan, Zayats, Tetyana, Johansson, Stefan, Williams, Nigel, Dempfle, Astrid, Rothenberger, Aribert, Kuntsi, Jonna, Oades, Robert D., Banaschewski, Tobia, Franke, Barbara, Buitelaar, Jan K., Vasquez, Alejandro Aria, Doyle, Alysa E., Reif, Andrea, Lesch, Klaus-Peter, Freitag, Christine, Rivero, Olga, Palmason, Haukur, Romanos, Marcel, Langley, Kate, Rietschel, Marcella, Witt, Stephanie H., Dalsgaard, Soeren, Børglum, Anders D., Waldman, Irwin, Wilmot, Beth, Molly, Nikola, Bau, Claiton H.D., Crosbie, Jennifer, Schachar, Russell, Loo, Sandra K., McGough, James J., Grevet, Eugenio H., Medland, Sarah E., Robinson, Elise, Weiss, Lauren A., Bacchelli, Elena, Bailey, Anthony, Bal, Vanessa, Battaglia, Agatino, Betancur, Catalina, Bolton, Patrick, Cantor, Rita, Celestino-Soper, Patrícia, Dawson, Geraldine, De Rubeis, Silvia, Duque, Frederico, Green, Andrew, Klauck, Sabine M., Leboyer, Marion, Levitt, Pat, Maestrini, Elena, Mane, Shrikant, Moreno-De-Luca, Daniel, Parr, Jeremy, Regan, Regina, Reichenberg, Abraham, Sandin, Sven, Vorstman, Jacob, Wassink, Thoma, Wijsman, Ellen, Cook, Edwin, Santangelo, Susan, Delorme, Richard, Roge, Bernadette, Magalhaes, Tiago, Arking, Dan, Schulze, Thomas G., Thompson, Robert C., Strohmaier, Jana, Matthews, Keith, Melle, Ingrid, Morris, Derek, Blackwood, Dougla, McIntosh, Andrew, Bergen, Sarah E., Schalling, Martin, Jamain, Stéphane, Maaser, Anna, Fischer, Sascha B., Reinbold, Céline S., Fullerton, Janice M., Guzman-Parra, José, Mayoral, Fermin, Schofield, Peter R., Cichon, Sven, Mühleisen, Thomas W., Degenhardt, Franziska, Schumacher, Johanne, Bauer, Michael, Mitchell, Philip B., Gershon, Elliot S., Rice, John, Potash, James B., Zandi, Peter P., Craddock, Nick, Nicol Ferrier, I., Alda, Martin, Rouleau, Guy A., Turecki, Gustavo, Ophoff, Roel, Pato, Carlo, Anjorin, Adebayo, Stahl, Eli, Leber, Marku, Czerski, Piotr M., Cruceanu, Cristiana, Jones, Ian R., Posthuma, Danielle, Andlauer, Till F.M., Forstner, Andreas J., Streit, Fabian, Baune, Bernhard T., Air, Tracy, Sinnamon, Grant, Wray, Naomi R., MacIntyre, Donald J., Porteous, David, Homuth, Georg, Rivera, Margarita, Grove, 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J, Tortorella, A, Maj, M, Gonidakis, F, Tziouvas, K, Papezova, H, Yilmaz, Z, Wagner, G, Cohen-Woods, S, Herms, S, Julia, A, Rabionet, R, Dick, D, Ripatti, S, Andreassen, O, Espeseth, T, Lundervold, A, Steen, V, Pinto, D, Scherer, S, Aschauer, H, Schosser, A, Alfredsson, L, Padyukov, L, Halmi, K, Mitchell, J, Strober, M, Bergen, A, Kaye, W, Szatkiewicz, J, Cormand, B, Ramos-Quiroga, J, Sánchez-Mora, C, Ribasés, M, Casas, M, Hervas, A, Arranz, M, Haavik, J, Zayats, T, Johansson, S, Williams, N, Dempfle, A, Rothenberger, A, Kuntsi, J, Oades, R, Banaschewski, T, Franke, B, Buitelaar, J, Vasquez, A, Doyle, A, Reif, A, Lesch, K, Freitag, C, Rivero, O, Palmason, H, Romanos, M, Langley, K, Rietschel, M, Witt, S, Dalsgaard, S, Børglum, A, Waldman, I, Wilmot, B, Molly, N, Bau, C, Crosbie, J, Schachar, R, Loo, S, Mcgough, J, Grevet, E, Medland, S, Robinson, E, Weiss, L, Bacchelli, E, Bailey, A, Bal, V, Battaglia, A, Betancur, C, Bolton, P, Cantor, R, Celestino-Soper, P, Dawson, G, De Rubeis, S, Duque, F, Green, A, Klauck, S, Leboyer, M, Levitt, P, Maestrini, E, Mane, S, Moreno-De-Luca, D, Parr, J, Regan, R, Reichenberg, A, Sandin, S, Vorstman, J, Wassink, T, Wijsman, E, Cook, E, Santangelo, S, Delorme, R, Roge, B, Magalhaes, T, Arking, D, Schulze, T, Thompson, R, Strohmaier, J, Matthews, K, Melle, I, Morris, D, Blackwood, D, Mcintosh, A, Bergen, S, Schalling, M, Jamain, S, Maaser, A, Fischer, S, Reinbold, C, Fullerton, J, Guzman-Parra, J, Mayoral, F, Schofield, P, Cichon, S, Mühleisen, T, Degenhardt, F, Schumacher, J, Bauer, M, Mitchell, P, Gershon, E, Rice, J, Potash, J, Zandi, P, Craddock, N, Nicol Ferrier, I, Alda, M, Rouleau, G, Turecki, G, Ophoff, R, Pato, C, Anjorin, A, Stahl, E, Leber, M, Czerski, P, Cruceanu, C, Jones, I, Posthuma, D, Andlauer, T, Forstner, A, Streit, F, Baune, B, Air, T, Sinnamon, G, Wray, N, Macintyre, D, Porteous, D, Homuth, G, Rivera, M, Grove, J, Middeldorp, C, Hickie, I, Pergadia, M, Mehta, D, Smit, J, Jansen, R, De Geus, E, Dunn, E, Li, Q, Nauck, M, Schoevers, R, Beekman, A, Knowles, J, Viktorin, A, Arnold, P, Barr, C, Bedoya-Berrio, G, Joseph Bienvenu, O, Brentani, H, Burton, C, Camarena, B, Cappi, C, Cath, D, Cavallini, M, Cusi, D, Darrow, S, Denys, D, Derks, E, Dietrich, A, Fernandez, T, Figee, M, Freimer, N, Gerber, G, Grados, M, Greenberg, E, Hanna, G, Hartmann, A, Hirschtritt, M, Hoekstra, P, Huang, A, Huyser, C, Illmann, C, Jenike, M, Kuperman, S, Leventhal, B, Lochner, C, Lyon, G, Macciardi, F, Madruga-Garrido, M, Malaty, I, Maras, A, Mcgrath, L, Miguel, E, Mir, P, Nestadt, G, Nicolini, H, Okun, M, Pakstis, A, Paschou, P, Piacentini, J, Pittenger, C, Plessen, K, Ramensky, V, Ramos, E, Reus, V, Richter, M, Riddle, M, Robertson, M, Roessner, V, Rosário, M, Samuels, J, Sandor, P, Stein, D, Tsetsos, F, Van Nieuwerburgh, F, Weatherall, S, Wendland, J, Wolanczyk, T, Worbe, Y, Zai, G, Goes, F, Mclaughlin, N, Nestadt, P, Grabe, H, Depienne, C, Konkashbaev, A, Lanzagorta, N, Valencia-Duarte, A, Bramon, E, Buccola, N, Cahn, W, Cairns, M, Chong, S, Cohen, D, Crespo-Facorro, B, Crowley, J, Davidson, M, Delisi, L, Dinan, T, Donohoe, G, Drapeau, E, Duan, J, Haan, L, Hougaard, D, Karachanak-Yankova, S, Khrunin, A, Klovins, J, Kučinskas, V, Keong, J, Limborska, S, Loughland, C, Lönnqvist, J, Maher, B, Mattheisen, M, Mcdonald, C, Murphy, K, Nenadic, I, Van Os, J, Pantelis, C, Pato, M, Petryshen, T, Quested, D, Roussos, P, Sanders, A, Schall, U, Schwab, S, Sim, K, So, H, Stögmann, E, Subramaniam, M, Toncheva, D, Waddington, J, Walters, J, Weiser, M, Cheng, W, Cloninger, R, Curtis, D, Gejman, P, Henskens, F, Mattingsdal, M, Oh, S, Scott, R, Webb, B, Breen, G, Churchhouse, C, Bulik, C, Daly, M, Dichgans, M, Faraone, S, Guerreiro, R, Holmans, P, Kendler, K, Koeleman, B, Mathews, C, Price, A, Scharf, J, Sklar, P, Williams, J, Wood, N, Cotsapas, C, Palotie, A, Smoller, J, Sullivan, P, Rosand, J, Corvin, A, Neale, B, Kauwe, John S. K., Mcquillin, Andrew, Adams, Hieab H. H., Mccormack, Mark, Bau, Claiton H. D., Mcgough, James J., Mcintosh, Andrew, Andlauer, Till F. M., Macintyre, Donald J., Mcgrath, Lauren, Mclaughlin, Nicole, Delisi, Lynn, Mcdonald, Colm, Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), RIKEN Center for Integrative Medical Science, Neuropsychiatrie : recherche épidémiologique et clinique, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 1 (UM1)-Université de Montpellier (UM), University of South Florida (USF), University of Zürich [Zürich] (UZH)-Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Alzheimer Precision Medicine GRC n°21 (APM), CHU Pitié-Salpêtrière [APHP], Cardiff University-Medical Research Council, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Johannes Kepler University Linz [linz] (JKU), Washington University in St Louis, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Universitat Autònoma de Barcelona [Barcelona] (UAB), Hôpital Erasme (Bruxelles), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Jagiellonian University [Krakow] (UJ), Technische Universität Dresden (TUD), National and Kapodistrian University of Athens = University of Athens (NKUA | UoA), Charles University [Prague], Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), University of Bergen (UIB), University Medicine Goettingen, Università di Bologna [Bologna] (UNIBO), Forschungszentrum Jülich GmbH, UNSW Medicine [Sydney], McGill University, Universidad de Antioquia, University of Florida [Gainesville], Universiteit Gent [Ghent], Service Psychiatrie de l'Enfant et de l'Adolescent [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], University of Wollongong, Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 APM), Anttila, Verneri [0000-0002-0073-4675], Finucane, Hilary K [0000-0003-3864-9828], Walters, Raymond K [0000-0001-8422-6530], Duncan, Laramie [0000-0003-1131-661X], Escott-Price, Valentina [0000-0003-1784-5483], Falcone, Guido J [0000-0002-6407-0302], Gormley, Padhraig [0000-0002-8908-6968], Malik, Rainer [0000-0001-9212-2520], Ripke, Stephan [0000-0003-3622-835X], Wei, Zhi [0000-0001-6059-4267], Yu, Dongmei [0000-0001-7901-4365], Lee, Phil H [0000-0003-1770-3100], Breen, Gerome [0000-0003-2053-1792], Bulik, Cynthia M [0000-0001-7772-3264], Daly, Mark [0000-0002-0949-8752], Dichgans, Martin [0000-0002-0654-387X], Faraone, Stephen V [0000-0002-9217-3982], Holmans, Peter [0000-0003-0870-9412], Koeleman, Bobby [0000-0001-7749-182X], Mathews, Carol A [0000-0003-2208-7058], Sklar, Pamela [0000-0001-9715-4943], Williams, Julie [0000-0002-4069-0259], Wood, Nicholas W [0000-0002-9500-3348], Cotsapas, Chris [0000-0002-7772-5910], Smoller, Jordan W [0000-0002-0381-6334], Sullivan, Patrick [0000-0002-6619-873X], Rosand, Jonathan [0000-0002-1014-9138], Corvin, Aiden [0000-0001-6717-4089], Neale, Benjamin M [0000-0003-1513-6077], and Apollo - University of Cambridge Repository
Subjects: Etiology, [SDV]Life Sciences [q-bio], MESH: Brain Diseases, body-mass index, genetics [Mental Disorders], Disorders of the Brain, Risks factors, classification [Mental Disorders], MESH: Quantitative Trait, Heritable, MESH: Risk Factors, Risk Factors, MESH: Genetic Variation, alzheimers-disease, 610 Medicine & health, bipolar disorder, Brain Diseases, deficit hyperactivity disorder, Multidisciplinary, Mental Disorders, genetics [Brain Diseases], Brain Disease, Brain, Genetic Variation, Genome-Wide Association Study, Humans, Phenotype, Quantitative Trait, Heritable, Psychiatric Disorders, anorexia-nervosa, Mental Disorder, Psychiatric Genomics, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], long-term survival, Engineering sciences. Technology, Human, General Science & Technology, population-based twin, diagnosis [Mental Disorders], MESH: Phenotype, Neurological Disorders, Quantitative Trait, MD Multidisciplinary, MESH: Mental Disorders, diagnosis [Brain Diseases], Heritable, genetic correlations, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, major depressive disorder, Risk Factor, Brain Diseases/classification, Brain Diseases/diagnosis, Brain Diseases/genetics, Mental Disorders/classification, Mental Disorders/diagnosis, Mental Disorders/genetics, classification [Brain Diseases], Perturbações do Desenvolvimento Infantil e Saúde Mental, ddc:320, MESH: Genome-Wide Association Study, genome-wide association, Brainstorm Consortium, Genetic Factors, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities’ assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer’s disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important “scaffolding” to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders.
Published: 2018

19. Mycorrhizal association controls soil carbon-degrading enzyme activities and soil carbon dynamics under nitrogen addition: A systematic review.

Author: Hu Y, Chen J, Olesen JE, van Groenigen KJ, Hui D, He X, Chen G, and Deng Q
Subjects: Ecosystem, Carbon Cycle, Mycorrhizae physiology, Nitrogen metabolism, Soil chemistry, Carbon metabolism, Soil Microbiology
Abstract: Recent evidence suggests that changes in carbon-degrading extracellular enzyme activities (C-EEAs) can help explain soil organic carbon (SOC) dynamics under nitrogen (N) addition. However, the factors controlling C-EEAs remain unclear, impeding the inclusion of microbial mechanisms in global C cycle models. Using meta-analysis, we show that the responses of C-EEAs to N addition were best explained by mycorrhizal association across a wide range of environmental and experimental factors. In ectomycorrhizal (ECM) dominated ecosystems, N addition suppressed C-EEAs targeting the decomposition of structurally complex macromolecules by 13.1 %, and increased SOC stocks by 5.2 %. In contrast, N addition did not affect C-EEAs and SOC stocks in arbuscular mycorrhizal (AM) dominated ecosystems. Our results indicate that earlier studies may have overestimated SOC changes under N addition in AM-dominated ecosystems and underestimated SOC changes in ECM-dominated ecosystems. Incorporating this mycorrhizal-dependent impact of EEAs on SOC dynamics into Earth system models could improve predictions of SOC dynamics under environmental changes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2024
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20. Challenges and opportunities when moving food production and consumption toward sustainable diets in the Nordics: a scoping review for Nordic Nutrition Recommendations 2023.

Author: Meltzer HM, Eneroth H, Erkkola M, Trolle E, Fantke P, Helenius J, Olesen JE, Saarinen M, Maage A, and Ydersbond TA
Abstract: The terms 'Nordic countries' or 'The Nordics' include the five countries Denmark, Finland, Island, Norway, and Sweden. This review includes evaluation of the Nordic countries against Food and Agricultural Organisation (FAO)/World Health Organizations' (WHO) guiding principles for healthy, sustainable diets with respect to environmental impact (principles #9 - #13) and sociocultural aspects (principles #14 - #16). A food systems perspective is taken to summarize and discuss the most important challenges and opportunities for achieving sustainable diets. Food system, food security, self-sufficiency, and resilience perspectives are applied. The information can underpin decisions when developing and implementing Food Based Dietary Guidelines (FBDG) in the Nordics. None of the Nordic countries are on track to reach the 2030 UN climate and biodiversity goals. We describe how food production, processing, and consumption contribute to these and other environmental challenges, and what kinds of dietary changes/transitions consistent with these goals are required. A major challenge is the high production and consumption of meat and too low consumption of fish, vegetables, and fruits. Meat production is a major source of emissions and, together with farmed fish, heavily dependent on imported feed ingredients, leaving a large land-use and water footprint in exporting countries while domestic land resources are not used optimally. Dietary patterns have changed drastically over the past 50 years, and in large parts of the population, meat consumption has doubled since the 1970s, rendering historic food culture less useful as a basis for present-day recommendations. The Nordics have Europe's lowest use of antibiotics in animal and fish production and have made some progress in reducing food waste along the food chain. A major opportunity is better alignment of food production and consumption based on local or regional production potentials, in conjunction with better and more constructive integration with the global food system while integrating novel technologies to reduce emissions and resource use., Competing Interests: The authors declare no potential conflicts of interest. The authors have not received any funding or benefits from industry or elsewhere to conduct this study., (© 2024 Helle Margrete Meltzer et al.)
Published: 2024
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21. Depth-dependent responses of soil organic carbon under nitrogen deposition.

Author: Hu Y, Deng Q, Kätterer T, Olesen JE, Ying SC, Ochoa-Hueso R, Mueller CW, Weintraub MN, and Chen J
Subjects: Nitrogen analysis, Forests, Carbon Sequestration, China, Carbon analysis, Soil
Abstract: Emerging evidence points out that the responses of soil organic carbon (SOC) to nitrogen (N) addition differ along the soil profile, highlighting the importance of synthesizing results from different soil layers. Here, using a global meta-analysis, we found that N addition significantly enhanced topsoil (0-30 cm) SOC by 3.7% (±1.4%) in forests and grasslands. In contrast, SOC in the subsoil (30-100 cm) initially increased with N addition but decreased over time. The model selection analysis revealed that experimental duration and vegetation type are among the most important predictors across a wide range of climatic, environmental, and edaphic variables. The contrasting responses of SOC to N addition indicate the importance of considering deep soil layers, particularly for long-term continuous N deposition. Finally, the lack of depth-dependent SOC responses to N addition in experimental and modeling frameworks has likely resulted in the overestimation of changes in SOC storage under enhanced N deposition., (© 2024 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
Published: 2024
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22. In-vitro method and model to estimate methane emissions from liquid manure management on pig and dairy farms in four countries.

Author: Petersen SO, Ma C, Hilgert JE, Mjöfors K, Sefeedpari P, Amon B, Aarnink A, Francó B, Dragoni F, Groenestein K, Gyldenkærne S, Herrmann C, Hutchings NJ, Kristensen IS, Liu J, Olesen JE, and Rodhe L
Subjects: Animals, Swine, Cattle, Farms, Methane analysis, Temperature, Manure analysis, Greenhouse Gases analysis
Abstract: Methane (CH 4 ) emissions from manure management on livestock farms are a key source of greenhouse gas emissions in some regions and for some production systems, and the opportunities for mitigation may be significant if emissions can be adequately documented. We investigated a method for estimating CH 4 emissions from liquid manure (slurry) that is based on anaerobic incubation of slurry collected from commercial farms. Methane production rates were used to derive a parameter of the Arrhenius temperature response function, lnA', representing the CH 4 production potential of the slurry at the time of sampling. Results were used for parameterization of an empirical model to estimate annual emissions with daily time steps, where CH 4 emissions from individual sources (barns, outside storage tanks) can be calculated separately. A monitoring program was conducted in four countries, i.e., Denmark, Sweden, Germany and the Netherlands, during a 12-month period where slurry was sampled to represent barn and outside storage on finishing pig and dairy farms. Across the four countries, lnA' was higher in pig slurry compared to cattle slurry (p < 0.01), and higher in slurry from barns compared to outside storage (p < 0.01). In a separate evaluation of the incubation method, in-vitro CH 4 production rates were comparable with in-situ emissions. The results indicate that lnA' in barns increases with slurry age, probably due to growth or adaptation of the methanogenic microbial community. Using lnA' values determined experimentally, empirical models with daily time steps were constructed for finishing pig and dairy farms and used for scenario analyses. Annual emissions from pig slurry were predicted to be 2.5 times higher than those from cattle slurry. Changing the frequency of slurry export from the barn on the model pig farm from 40 to 7 d intervals reduced total annual CH 4 emissions by 46 %; this effect would be much less on cattle farms with natural ventilation. In a scenario with cattle slurry, the empirical model was compared with the current IPCC methodology. The seasonal dynamics were less pronounced, and annual CH 4 emissions were lower than with the current methodology, which calls for further investigations. Country-specific models for individual animal categories and point sources could be a tool for assessing CH 4 emissions and mitigation potentials at farm level., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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23. Shifts in soil ammonia-oxidizing community maintain the nitrogen stimulation of nitrification across climatic conditions.

Author: Zhang Y, Cheng X, van Groenigen KJ, García-Palacios P, Cao J, Zheng X, Luo Y, Hungate BA, Terrer C, Butterbach-Bahl K, Olesen JE, and Chen J
Subjects: Nitrification, Nitrogen analysis, Oxidation-Reduction, Soil Microbiology, Archaea, Phylogeny, Soil chemistry, Ammonia
Abstract: Anthropogenic nitrogen (N) loading alters soil ammonia-oxidizing archaea (AOA) and bacteria (AOB) abundances, likely leading to substantial changes in soil nitrification. However, the factors and mechanisms determining the responses of soil AOA:AOB and nitrification to N loading are still unclear, making it difficult to predict future changes in soil nitrification. Herein, we synthesize 68 field studies around the world to evaluate the impacts of N loading on soil ammonia oxidizers and nitrification. Across a wide range of biotic and abiotic factors, climate is the most important driver of the responses of AOA:AOB to N loading. Climate does not directly affect the N-stimulation of nitrification, but does so via climate-related shifts in AOA:AOB. Specifically, climate modulates the responses of AOA:AOB to N loading by affecting soil pH, N-availability and moisture. AOB play a dominant role in affecting nitrification in dry climates, while the impacts from AOA can exceed AOB in humid climates. Together, these results suggest that climate-related shifts in soil ammonia-oxidizing community maintain the N-stimulation of nitrification, highlighting the importance of microbial community composition in mediating the responses of the soil N cycle to N loading., (© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
Published: 2024
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24. Challenges of accounting nitrous oxide emissions from agricultural crop residues.

Author: Olesen JE, Rees RM, Recous S, Bleken MA, Abalos D, Ahuja I, Butterbach-Bahl K, Carozzi M, De Notaris C, Ernfors M, Haas E, Hansen S, Janz B, Lashermes G, Massad RS, Petersen SO, Rittl TF, Scheer C, Smith KE, Thiébeau P, Taghizadeh-Toosi A, Thorman RE, and Topp CFE
Subjects: Soil chemistry, Poaceae, Biomass, Nitrogen analysis, Agriculture, Fertilizers, Crops, Agricultural, Nitrous Oxide analysis
Abstract: Crop residues are important inputs of carbon (C) and nitrogen (N) to soils and thus directly and indirectly affect nitrous oxide (N 2 O) emissions. As the current inventory methodology considers N inputs by crop residues as the sole determining factor for N 2 O emissions, it fails to consider other underlying factors and processes. There is compelling evidence that emissions vary greatly between residues with different biochemical and physical characteristics, with the concentrations of mineralizable N and decomposable C in the residue biomass both enhancing the soil N 2 O production potential. High concentrations of these components are associated with immature residues (e.g., cover crops, grass, legumes, and vegetables) as opposed to mature residues (e.g., straw). A more accurate estimation of the short-term (months) effects of the crop residues on N 2 O could involve distinguishing mature and immature crop residues with distinctly different emission factors. The medium-term (years) and long-term (decades) effects relate to the effects of residue management on soil N fertility and soil physical and chemical properties, considering that these are affected by local climatic and soil conditions as well as land use and management. More targeted mitigation efforts for N 2 O emissions, after addition of crop residues to the soil, are urgently needed and require an improved methodology for emission accounting. This work needs to be underpinned by research to (1) develop and validate N 2 O emission factors for mature and immature crop residues, (2) assess emissions from belowground residues of terminated crops, (3) improve activity data on management of different residue types, in particular immature residues, and (4) evaluate long-term effects of residue addition on N 2 O emissions., (© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
Published: 2023
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25. Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing.

Author: Xie M, Ma X, Wang Y, Li C, Shi H, Yuan X, Hellwich O, Chen C, Zhang W, Zhang C, Ling Q, Gao R, Zhang Y, Ochege FU, Frankl A, De Maeyer P, Buchmann N, Feigenwinter I, Olesen JE, Juszczak R, Jacotot A, Korrensalo A, Pitacco A, Varlagin A, Shekhar A, Lohila A, Carrara A, Brut A, Kruijt B, Loubet B, Heinesch B, Chojnicki B, Helfter C, Vincke C, Shao C, Bernhofer C, Brümmer C, Wille C, Tuittila ES, Nemitz E, Meggio F, Dong G, Lanigan G, Niedrist G, Wohlfahrt G, Zhou G, Goded I, Gruenwald T, Olejnik J, Jansen J, Neirynck J, Tuovinen JP, Zhang J, Klumpp K, Pilegaard K, Šigut L, Klemedtsson L, Tezza L, Hörtnagl L, Urbaniak M, Roland M, Schmidt M, Sutton MA, Hehn M, Saunders M, Mauder M, Aurela M, Korkiakoski M, Du M, Vendrame N, Kowalska N, Leahy PG, Alekseychik P, Shi P, Weslien P, Chen S, Fares S, Friborg T, Tallec T, Kato T, Sachs T, Maximov T, di Cella UM, Moderow U, Li Y, He Y, Kosugi Y, and Luo G
Abstract: Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R 2 ), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002-2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983-2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics., (© 2023. Springer Nature Limited.)
Published: 2023
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26. Models can enhance science-policy-society alignments for climate change mitigation.

Author: Cammarano D, Olesen JE, Helming K, Foyer CH, Schönhart M, Brunori G, Bandru KK, Bindi M, Padovan G, Thorsen BJ, Freund F, and Abalos D
Subjects: Policy, Climate Change, Conservation of Natural Resources
Published: 2023
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27. Replacing chemical fertilizer with manure reduces N 2 O emissions in winter wheat - summer maize cropping system under limited irrigation.

Author: Wang X, Wang S, Zang H, Nie J, Zhao J, Wang P, Peixoto L, Yang Y, Olesen JE, and Zeng Z
Subjects: Manure, Fertilizers, Agriculture methods, Soil, Nitrous Oxide analysis, Edible Grain chemistry, China, Zea mays, Triticum
Abstract: Nitrous oxide (N 2 O) emissions from agroecosystems are a major contributor to global warming and stratospheric ozone depletion. However, knowledge concerning the hotspots and hot moments of soil N 2 O emissions with manure application and irrigation, as well as the underlying mechanisms remain incomplete. Here, a 3-year field experiment was conducted with the combination of fertilization (no fertilizer, F0; 100% chemical fertilizer N, Fc; 50% chemical N + 50% manure N, Fc + m; and 100% manure N, Fm) and irrigation (with irrigation, W1; and without irrigation, W0; at wheat jointing stage) for winter wheat - summer maize cropping system in the North China Plain. Results showed that irrigation did not affect annual N 2 O emissions of the wheat-maize system. Manure application (Fc + m and Fm) reduced annual N 2 O emissions by 25-51% compared with Fc, which mainly occurred during 2 weeks after fertilization combined with irrigation (or heavy rainfall). In particular, Fc + m reduced the cumulative N 2 O emissions during 2 weeks after winter wheat sowing and summer maize top dressing by 0.28 and 0.11 kg ha -1 , respectively, compared with Fc. Meanwhile, Fm maintained the grain N yield and Fc + m increased grain N yield by 8% compared with Fc under W1. Overall, Fm maintained the annual grain N yield and lower N 2 O emissions compared to Fc under W0, and Fc + m increased the annual grain N yield and maintained N 2 O emissions compared with Fc under W1, respectively. Our results provide scientific support for using manure to minimize N 2 O emissions while maintaining crop N yield under optimal irrigation to support the green transition in agricultural production., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)
Published: 2023
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28. Effects of exogenous organic/inorganic nitrogen addition on carbon pool distribution and transformation in grassland soil.

Author: Wang M, Li F, Dong L, Wang X, Han L, and Olesen JE
Subjects: Soil, China, Carbon, Nitrogen
Abstract: Aims: Increases in nitrogen (N) deposition may significantly affect the organic carbon (OC) cycle in soil. The inconsistent findings of the influence of added N on soil OC pools highlight the need of quantifying responses of the OC pool distribution to N addition. Moreover, the influence of N addition with a mixture of organic and inorganic N on OC pool distribution and stabilization in grassland soil remains unclear., Methods: We carried out a five-year field experiment with adding N to examine the effects of different types of N addition on soil OC pool distribution and transformation in a meadow steppe in Inner Mongolia. We applied N in the ratios of inorganic N (IN) and organic N (ON) at 10:0 (N1), 7:3 (N2), 5:5 (N3), 3:7 (N4), 0:10 (N5), and 0:0 (CK), respectively. We measured OC content in bulk soil, particulate organic matter (POM), and mineral-associated organic matter (MAOM) fractions. Additionally, a short-term soil incubation was conducted to assess potential OC mineralization., Results: Our study showed no significant effect on soil organic carbon content of different ratios of IN/ON addition. N addition reduced microbial biomass C/N ratio, the fraction of mineral-associated organic matter, cumulative CO 2 emission, and microbial metabolic quotient. Compared with ON addition alone, IN addition alone showed a stronger effect on the C in different soil fractions and soil OC mineralization. The particulate organic matter (POM) fraction was more sensitive to N addition than the mineral-associated organic matter (MAOM) fraction., Conclusions: Our results suggest that the contribution of N in organic and inorganic forms affecting OC pool distribution with different turnover rates should be considered when assessing the effects of N addition types on soil OC processes in grassland., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
Published: 2023
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29. Challenges in upscaling laboratory studies to ecosystems in soil microbiology research.

Author: Chen J, Zhang Y, Kuzyakov Y, Wang D, and Olesen JE
Subjects: Soil, Models, Theoretical, Plants, Ecosystem, Soil Microbiology
Abstract: Soil microbiology has entered into the big data era, but the challenges in bridging laboratory-, field-, and model-based studies of ecosystem functions still remain. Indeed, the limitation of factors in laboratory experiments disregards interactions of a broad range of in situ environmental drivers leading to frequent contradictions between laboratory- and field-based studies, which may consequently mislead model development and projections. Upscaling soil microbiology research from laboratory to ecosystems represents one of the grand challenges facing environmental scientists, but with great potential to inform policymakers toward climate-smart and resource-efficient ecosystems. The upscaling is not only a scale problem, but also requires disentangling functional relationships and processes on each level. We point to three potential reasons for the gaps between laboratory- and field-based studies (i.e., spatiotemporal dynamics, sampling disturbances, and plant-soil-microbial feedbacks), and three key issues of caution when bridging observations and model predictions (i.e., across-scale effect, complex-process coupling, and multi-factor regulation). Field-based studies only cover a limited range of environmental variation that must be supplemented by laboratory and mesocosm manipulative studies when revealing the underlying mechanisms. The knowledge gaps in upscaling soil microbiology from laboratory to ecosystems should motivate interdisciplinary collaboration across experimental, observational, theoretic, and modeling research., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
Published: 2023
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30. Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment.

Author: Dueri S, Brown H, Asseng S, Ewert F, Webber H, George M, Craigie R, Guarin JR, Pequeno DNL, Stella T, Ahmed M, Alderman PD, Basso B, Berger AG, Mujica GB, Cammarano D, Chen Y, Dumont B, Rezaei EE, Fereres E, Ferrise R, Gaiser T, Gao Y, Garcia-Vila M, Gayler S, Hochman Z, Hoogenboom G, Kersebaum KC, Nendel C, Olesen JE, Padovan G, Palosuo T, Priesack E, Pullens JWM, Rodríguez A, Rötter RP, Ramos MR, Semenov MA, Senapati N, Siebert S, Srivastava AK, Stöckle C, Supit I, Tao F, Thorburn P, Wang E, Weber TKD, Xiao L, Zhao C, Zhao J, Zhao Z, Zhu Y, and Martre P
Subjects: Biomass, Seasons, Temperature, Climate Change, Triticum
Abstract: Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Experimental Biology.)
Published: 2022
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31. Global systematic review with meta-analysis reveals yield advantage of legume-based rotations and its drivers.

Author: Zhao J, Chen J, Beillouin D, Lambers H, Yang Y, Smith P, Zeng Z, Olesen JE, and Zang H
Subjects: Agriculture, Crop Production, Crops, Agricultural, Fertilizers analysis, Vegetables, Fabaceae
Abstract: Diversified cropping systems, especially those including legumes, have been proposed to enhance food production with reduced inputs and environmental impacts. However, the impact of legume pre-crops on main crop yield and its drivers has never been systematically investigated in a global context. Here, we synthesize 11,768 yield observations from 462 field experiments comparing legume-based and non-legume cropping systems and show that legumes enhanced main crop yield by 20%. These yield advantages decline with increasing N fertilizer rates and crop diversity of the main cropping system. The yield benefits are consistent among main crops (e.g., rice, wheat, maize) and evident across pedo-climatic regions. Moreover, greater yield advantages (32% vs. 7%) are observed in low- vs. high-yielding environments, suggesting legumes increase crop production with low inputs (e.g., in Africa or organic agriculture). In conclusion, our study suggests that legume-based rotations offer a critical pathway for enhancing global crop production, especially when integrated into low-input and low-diversity agricultural systems., (© 2022. The Author(s).)
Published: 2022
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32. Potential for the adoption of measures to reduce N 2 O emissions from crop residues in Denmark.

Author: De Notaris C, Abalos D, Mikkelsen MH, and Olesen JE
Subjects: Crops, Agricultural, Denmark, Nitrous Oxide analysis, Soil chemistry, Vegetables, Agriculture, Fertilizers analysis
Abstract: Crop residues represent a climate change dilemma: they can promote carbon (C) sequestration, but they may also stimulate emissions of the powerful greenhouse gas nitrous oxide (N 2 O). Although there are crop residue management measures to reduce N 2 O emissions, N 2 O reductions achieved at national scale with these measures have been seldom studied, and how farmers' willingness to accept the measures constrains their potential remains largely unknown. Using Denmark as a case study, we combined a survey (completed by 592 farmers) and national data to assess the practical potential and obstacles for the successful implementation of management strategies to reduce N 2 O emissions from crop residues. Crop residue removal (particularly from vegetables and cover crops) and nitrification inhibitors were identified as effective in reducing N 2 O emissions from a biophysical perspective. If all aboveground crop residues from vegetables and cover crops were removed, N 2 O emissions could be reduced by 0.181 Gg N 2 ON, corresponding to 11% of the total N 2 O emissions from crop residues nationally. However, a low percentage of farmers would be willing to remove crop residues from the field, especially for vegetables and cover crops (25%), in connection to the possible short- to medium-term reduction in C sequestration. Similarly, use of nitrification inhibitors would reduce emissions by 0.247 Gg N 2 ON, corresponding to 15% of the total residue N 2 O emissions, and only 37% of all farmers would accept their use. Our results highlight that farmer' preferences for the adoption of measures can constrain the use of the few available effective mitigation options. Better knowledge dissemination and advisory services are crucial to address this challenge; farmers may be motivated to remove aboveground crop residues by highlighting the proportionally more important contribution of belowground residues to C sequestration, and that aboveground residues may have commercial value (biorefining, biogas, biofuel), although these options need further development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2022
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33. Impacts of land use, climate change and hydrological model structure on nitrate fluxes: Magnitudes and uncertainties.

Author: Seidenfaden IK, Sonnenborg TO, Børgesen CD, Trolle D, Olesen JE, and Refsgaard JC
Subjects: Hydrology, Nitrogen Oxides, Rivers chemistry, Uncertainty, Climate Change, Nitrates analysis
Abstract: Nitrate pollution and eutrophication are of increasing concern in agriculturally dominated regions, and with projected future climate changes, these issues are expected to worsen for both surface and groundwater. Changes in land use and management have the potential to mitigate some of these concerns. However, to what extent these changes will interact is unknown, and are associated with significant uncertainty. Here, we estimate nitrate fluxes and contributions of major uncertainty sources (variance decomposition analysis) affecting nitrate leaching from the root zone and river load from groundwater sources for an agricultural catchment in Denmark under future changes (2080-2099) in climate (four climate models) and land use (four land use scenarios). To investigate the uncertainty from impact model choice, two different agro-hydrological models (SWAT and DAISY-MIKE SHE) both traditionally used for nitrate impact assessments are used for projecting these effects. On average, nitrate leaching from the root zone increased by 55%-123% due to different climate models, while the impact of land use scenarios showed changes between -9% and 88%, with similar projections for river loads, while the worst-case combination of the three factors yielded a fivefold increase in nitrate transport. Thus, in the future, major land use changes will be necessary to mitigate nitrate pollution likely in combination with other measures such as advanced management and farming technologies and differentiated regulation. The two agro-hydrological models showed substantially different reaction patterns and magnitude of nitrate fluxes, and while the largest uncertainty source was the land use scenarios for both models, DAISY-MIKE SHE was to a higher degree affected by climate model choice. The dominating uncertainty source was found to be the agro-hydrological model; however, both uncertainties related to land use scenario and climate model were important, thus highlighting the need to include all influential factors in future nitrate flux impact studies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
Published: 2022
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34. Depth-dependent responses of soil organic carbon stock under annual and perennial cropping systems.

Author: Chen J, Luo Y, Kätterer T, and Olesen JE
Subjects: Ecosystem, Agriculture, Carbon, Soil chemistry
Published: 2022
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35. Interactive effects of straw management, tillage, and a cover crop on nitrous oxide emissions and nitrate leaching from a sandy loam soil.

Author: Taghizadeh-Toosi A, Hansen EM, Olesen JE, Baral KR, and Petersen SO
Subjects: Agriculture, Fertilizers analysis, Nitrates, Sand, Nitrous Oxide analysis, Soil chemistry
Abstract: Minimum tillage, residue recycling and the use of cover crops are key elements of conservation agriculture that play important roles in soil carbon (C) and nitrogen (N) dynamics. This study determined the long-term effects of tillage practice (conventional ploughing vs. direct seeding), straw management (retained vs. removed), and the presence of a cover crop (CC; fodder radish in this study) on nitrous oxide (N 2 O) emissions, nitrate (NO 3 - ) leaching, and soil mineral N dynamics between October 2019 and June 2020. In the factorial experiment with eight treatment combinations, cumulative N 2 O emissions ranged from 0.04 to 0.8 kg N ha -1 , whereas NO 3 - leaching varied between 4 and 28 kg N ha -1 . The study did not find effects of straw retention on NO 3 - leaching or N 2 O emissions. No-till reduced N 2 O emissions by on average 46% compared to ploughing. Fodder radish reduced NO 3 - leaching by 80-84%, and there was little N 2 O emission in the presence of the cover crop; however, after termination in spring there was a flush of N 2 O, cumulative N 2 O-N averaged 0.1 and 0.5 kg N ha -1 without and with a cover crop. With information about long-term soil C retention from straw and fodder radish, an overall greenhouse (GHG) balance was calculated for each system. Without straw retention after harvest, there was always a positive net GHG emission, and the indirect N 2 O emission from NO 3 - leaching was similar to, or greater than direct N 2 O emissions. However, in the presence of fodder radish, the direct N 2 O emissions after termination were much more important than indirect emissions, and negated the C input from fodder radish. Direct seeding, straw retention and the use of a cover crop showed positive effects on N retention and/or GHG balance and could substantially improve the carbon footprint of agroecosystems on sandy soil in a wet temperate climate., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
Published: 2022
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36. A review and meta-analysis of mitigation measures for nitrous oxide emissions from crop residues.

Author: Abalos D, Recous S, Butterbach-Bahl K, De Notaris C, Rittl TF, Topp CFE, Petersen SO, Hansen S, Bleken MA, Rees RM, and Olesen JE
Subjects: Agriculture, Carbon, Fertilizers analysis, Soil chemistry, Greenhouse Gases analysis, Nitrous Oxide analysis
Abstract: Crop residues are of crucial importance to maintain or even increase soil carbon stocks and fertility, and thereby to address the global challenge of climate change mitigation. However, crop residues can also potentially stimulate emissions of the greenhouse gas nitrous oxide (N 2 O) from soils. A better understanding of how to mitigate N 2 O emissions due to crop residue management while promoting positive effects on soil carbon is needed to reconcile the opposing effects of crop residues on the greenhouse gas balance of agroecosystems. Here, we combine a literature review and a meta-analysis to identify and assess measures for mitigating N 2 O emissions due to crop residue application to agricultural fields. Our study shows that crop residue removal, shallow incorporation, incorporation of residues with C:N ratio > 30 and avoiding incorporation of residues from crops terminated at an immature physiological stage, are measures leading to significantly lower N 2 O emissions. Other practices such as incorporation timing and interactions with fertilisers are less conclusive. Several of the evaluated N 2 O mitigation measures implied negative side-effects on yield, soil organic carbon storage, nitrate leaching and/or ammonia volatilization. We identified additional strategies with potential to reduce crop residue N 2 O emissions without strong negative side-effects, which require further research. These are: a) treatment of crop residues before field application, e.g., conversion of residues into biochar or anaerobic digestate, b) co-application with nitrification inhibitors or N-immobilizing materials such as compost with a high C:N ratio, paper waste or sawdust, and c) use of residues obtained from crop mixtures. Our study provides a scientific basis to be developed over the coming years on how to increase the sustainability of agroecosystems though adequate crop residue management., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2022
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37. Global wheat production could benefit from closing the genetic yield gap.

Author: Senapati N, Semenov MA, Halford NG, Hawkesford MJ, Asseng S, Cooper M, Ewert F, van Ittersum MK, Martre P, Olesen JE, Reynolds M, Rötter RP, and Webber H
Abstract: Global food security requires food production to be increased in the coming decades. The closure of any existing genetic yield gap (Y ig ) by genetic improvement could increase crop yield potential and global production. Here we estimated present global wheat Y ig , covering all wheat-growing environments and major producers, by optimizing local wheat cultivars using the wheat model Sirius. The estimated mean global Y ig was 51%, implying that global wheat production could benefit greatly from exploiting the untapped global Y ig through the use of optimal cultivar designs, utilization of the vast variation available in wheat genetic resources, application of modern advanced breeding tools, and continuous improvements of crop and soil management., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2022
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38. Global maps of soil temperature.

Author: Lembrechts JJ, van den Hoogen J, Aalto J, Ashcroft MB, De Frenne P, Kemppinen J, Kopecký M, Luoto M, Maclean IMD, Crowther TW, Bailey JJ, Haesen S, Klinges DH, Niittynen P, Scheffers BR, Van Meerbeek K, Aartsma P, Abdalaze O, Abedi M, Aerts R, Ahmadian N, Ahrends A, Alatalo JM, Alexander JM, Allonsius CN, Altman J, Ammann C, Andres C, Andrews C, Ardö J, Arriga N, Arzac A, Aschero V, Assis RL, Assmann JJ, Bader MY, Bahalkeh K, Barančok P, Barrio IC, Barros A, Barthel M, Basham EW, Bauters M, Bazzichetto M, Marchesini LB, Bell MC, Benavides JC, Benito Alonso JL, Berauer BJ, Bjerke JW, Björk RG, Björkman MP, Björnsdóttir K, Blonder B, Boeckx P, Boike J, Bokhorst S, Brum BNS, Brůna J, Buchmann N, Buysse P, Camargo JL, Campoe OC, Candan O, Canessa R, Cannone N, Carbognani M, Carnicer J, Casanova-Katny A, Cesarz S, Chojnicki B, Choler P, Chown SL, Cifuentes EF, Čiliak M, Contador T, Convey P, Cooper EJ, Cremonese E, Curasi SR, Curtis R, Cutini M, Dahlberg CJ, Daskalova GN, de Pablo MA, Della Chiesa S, Dengler J, Deronde B, Descombes P, Di Cecco V, Di Musciano M, Dick J, Dimarco RD, Dolezal J, Dorrepaal E, Dušek J, Eisenhauer N, Eklundh L, Erickson TE, Erschbamer B, Eugster W, Ewers RM, Exton DA, Fanin N, Fazlioglu F, Feigenwinter I, Fenu G, Ferlian O, Fernández Calzado MR, Fernández-Pascual E, Finckh M, Higgens RF, Forte TGW, Freeman EC, Frei ER, Fuentes-Lillo E, García RA, García MB, Géron C, Gharun M, Ghosn D, Gigauri K, Gobin A, Goded I, Goeckede M, Gottschall F, Goulding K, Govaert S, Graae BJ, Greenwood S, Greiser C, Grelle A, Guénard B, Guglielmin M, Guillemot J, Haase P, Haider S, Halbritter AH, Hamid M, Hammerle A, Hampe A, Haugum SV, Hederová L, Heinesch B, Helfter C, Hepenstrick D, Herberich M, Herbst M, Hermanutz L, Hik DS, Hoffrén R, Homeier J, Hörtnagl L, Høye TT, Hrbacek F, Hylander K, Iwata H, Jackowicz-Korczynski MA, Jactel H, Järveoja J, Jastrzębowski S, Jentsch A, Jiménez JJ, Jónsdóttir IS, Jucker T, Jump AS, Juszczak R, Kanka R, Kašpar V, Kazakis G, Kelly J, Khuroo AA, Klemedtsson L, Klisz M, Kljun N, Knohl A, Kobler J, Kollár J, Kotowska MM, Kovács B, Kreyling J, Lamprecht A, Lang SI, Larson C, Larson K, Laska K, le Maire G, Leihy RI, Lens L, Liljebladh B, Lohila A, Lorite J, Loubet B, Lynn J, Macek M, Mackenzie R, Magliulo E, Maier R, Malfasi F, Máliš F, Man M, Manca G, Manco A, Manise T, Manolaki P, Marciniak F, Matula R, Mazzolari AC, Medinets S, Medinets V, Meeussen C, Merinero S, Mesquita RCG, Meusburger K, Meysman FJR, Michaletz ST, Milbau A, Moiseev D, Moiseev P, Mondoni A, Monfries R, Montagnani L, Moriana-Armendariz M, Morra di Cella U, Mörsdorf M, Mosedale JR, Muffler L, Muñoz-Rojas M, Myers JA, Myers-Smith IH, Nagy L, Nardino M, Naujokaitis-Lewis I, Newling E, Nicklas L, Niedrist G, Niessner A, Nilsson MB, Normand S, Nosetto MD, Nouvellon Y, Nuñez MA, Ogaya R, Ogée J, Okello J, Olejnik J, Olesen JE, Opedal ØH, Orsenigo S, Palaj A, Pampuch T, Panov AV, Pärtel M, Pastor A, Pauchard A, Pauli H, Pavelka M, Pearse WD, Peichl M, Pellissier L, Penczykowski RM, Penuelas J, Petit Bon M, Petraglia A, Phartyal SS, Phoenix GK, Pio C, Pitacco A, Pitteloud C, Plichta R, Porro F, Portillo-Estrada M, Poulenard J, Poyatos R, Prokushkin AS, Puchalka R, Pușcaș M, Radujković D, Randall K, Ratier Backes A, Remmele S, Remmers W, Renault D, Risch AC, Rixen C, Robinson SA, Robroek BJM, Rocha AV, Rossi C, Rossi G, Roupsard O, Rubtsov AV, Saccone P, Sagot C, Sallo Bravo J, Santos CC, Sarneel JM, Scharnweber T, Schmeddes J, Schmidt M, Scholten T, Schuchardt M, Schwartz N, Scott T, Seeber J, Segalin de Andrade AC, Seipel T, Semenchuk P, Senior RA, Serra-Diaz JM, Sewerniak P, Shekhar A, Sidenko NV, Siebicke L, Siegwart Collier L, Simpson E, Siqueira DP, Sitková Z, Six J, Smiljanic M, Smith SW, Smith-Tripp S, Somers B, Sørensen MV, Souza JJLL, Souza BI, Souza Dias A, Spasojevic MJ, Speed JDM, Spicher F, Stanisci A, Steinbauer K, Steinbrecher R, Steinwandter M, Stemkovski M, Stephan JG, Stiegler C, Stoll S, Svátek M, Svoboda M, Tagesson T, Tanentzap AJ, Tanneberger F, Theurillat JP, Thomas HJD, Thomas AD, Tielbörger K, Tomaselli M, Treier UA, Trouillier M, Turtureanu PD, Tutton R, Tyystjärvi VA, Ueyama M, Ujházy K, Ujházyová M, Uogintas D, Urban AV, Urban J, Urbaniak M, Ursu TM, Vaccari FP, Van de Vondel S, van den Brink L, Van Geel M, Vandvik V, Vangansbeke P, Varlagin A, Veen GF, Veenendaal E, Venn SE, Verbeeck H, Verbrugggen E, Verheijen FGA, Villar L, Vitale L, Vittoz P, Vives-Ingla M, von Oppen J, Walz J, Wang R, Wang Y, Way RG, Wedegärtner REM, Weigel R, Wild J, Wilkinson M, Wilmking M, Wingate L, Winkler M, Wipf S, Wohlfahrt G, Xenakis G, Yang Y, Yu Z, Yu K, Zellweger F, Zhang J, Zhang Z, Zhao P, Ziemblińska K, Zimmermann R, Zong S, Zyryanov VI, Nijs I, and Lenoir J
Subjects: Climate Change, Microclimate, Temperature, Ecosystem, Soil
Abstract: Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km 2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km 2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
Published: 2022
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39. Deep-rooted perennial crops differ in capacity to stabilize C inputs in deep soil layers.

Author: Peixoto L, Olesen JE, Elsgaard L, Enggrob KL, Banfield CC, Dippold MA, Nicolaisen MH, Bak F, Zang H, Dresbøll DB, Thorup-Kristensen K, and Rasmussen J
Subjects: Agriculture, Carbon metabolism, Crops, Agricultural metabolism, Ecosystem, Medicago sativa metabolism, Nitrogen, Fertilizers, Soil chemistry
Abstract: Comprehensive climate change mitigation necessitates soil carbon (C) storage in cultivated terrestrial ecosystems. Deep-rooted perennial crops may help to turn agricultural soils into efficient C sinks, especially in deeper soil layers. Here, we compared C allocation and potential stabilization to 150 cm depth from two functionally distinct deep-rooted perennials, i.e., lucerne (Medicago sativa L.) and intermediate wheatgrass (kernza; Thinopyrum intermedium), representing legume and non-legume crops, respectively. Belowground C input and stabilization was decoupled from nitrogen (N) fertilizer rate in kernza (100 and 200 kg mineral N ha -1 ), with no direct link between increasing mineral N fertilization, rhizodeposited C, and microbial C stabilization. Further, both crops displayed a high ability to bring C to deeper soil layers and remarkably, the N 2 -fixing lucerne showed greater potential to induce microbial C stabilization than the non-legume kernza. Lucerne stimulated greater microbial biomass and abundance of N cycling genes in rhizosphere soil, likely linked to greater amino acid rhizodeposition, hence underlining the importance of coupled C and N for microbial C stabilization efficiency. Inclusion of legumes in perennial cropping systems is not only key for improved productivity at low fertilizer N inputs, but also appears critical for enhancing soil C stabilization, in particular in N limited deep subsoils., (© 2022. The Author(s).)
Published: 2022
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40. Predicting field N 2 O emissions from crop residues based on their biochemical composition: A meta-analytical approach.

Author: Abalos D, Rittl TF, Recous S, Thiébeau P, Topp CFE, van Groenigen KJ, Butterbach-Bahl K, Thorman RE, Smith KE, Ahuja I, Olesen JE, Bleken MA, Rees RM, and Hansen S
Subjects: Agriculture, Crops, Agricultural, Fertilizers, Soil, Ecosystem, Nitrous Oxide analysis
Abstract: Crop residue incorporation is a common practice to increase or restore organic matter stocks in agricultural soils. However, this practice often increases emissions of the powerful greenhouse gas nitrous oxide (N 2 O). Previous meta-analyses have linked various biochemical properties of crop residues to N 2 O emissions, but the relationships between these properties have been overlooked, hampering our ability to predict N 2 O emissions from specific residues. Here we combine comprehensive databases for N 2 O emissions from crop residues and crop residue biochemical characteristics with a random-meta-forest approach, to develop a predictive framework of crop residue effects on N 2 O emissions. On average, crop residue incorporation increased soil N 2 O emissions by 43% compared to residue removal, however crop residues led to both increases and reductions in N 2 O emissions. Crop residue effects on N 2 O emissions were best predicted by easily degradable fractions (i.e. water soluble carbon, soluble Van Soest fraction (NDS)), structural fractions and N returned with crop residues. The relationship between these biochemical properties and N 2 O emissions differed widely in terms of form and direction. However, due to the strong correlations among these properties, we were able to develop a simplified classification for crop residues based on the stage of physiological maturity of the plant at which the residue was generated. This maturity criteria provided the most robust and yet simple approach to categorize crop residues according to their potential to regulate N 2 O emissions. Immature residues (high water soluble carbon, soluble NDS and total N concentration, low relative cellulose, hemicellulose, lignin fractions, and low C:N ratio) strongly stimulated N 2 O emissions, whereas mature residues with opposite characteristics had marginal effects on N 2 O. The most important crop types belonging to the immature residue group - cover crops, grasslands and vegetables - are important for the delivery of multiple ecosystem services. Thus, these residues should be managed properly to avoid their potentially high N 2 O emissions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2022
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41. Stimulation of ammonia oxidizer and denitrifier abundances by nitrogen loading: Poor predictability for increased soil N 2 O emission.

Author: Zhang Y, Zhang F, Abalos D, Luo Y, Hui D, Hungate BA, García-Palacios P, Kuzyakov Y, Olesen JE, Jørgensen U, and Chen J
Subjects: Denitrification, Ecosystem, Nitrification, Nitrogen analysis, Nitrous Oxide analysis, Soil Microbiology, Ammonia, Soil
Abstract: Unprecedented nitrogen (N) inputs into terrestrial ecosystems have profoundly altered soil N cycling. Ammonia oxidizers and denitrifiers are the main producers of nitrous oxide (N 2 O), but it remains unclear how ammonia oxidizer and denitrifier abundances will respond to N loading and whether their responses can predict N-induced changes in soil N 2 O emission. By synthesizing 101 field studies worldwide, we showed that N loading significantly increased ammonia oxidizer abundance by 107% and denitrifier abundance by 45%. The increases in both ammonia oxidizer and denitrifier abundances were primarily explained by N loading form, and more specifically, organic N loading had stronger effects on their abundances than mineral N loading. Nitrogen loading increased soil N 2 O emission by 261%, whereas there was no clear relationship between changes in soil N 2 O emission and shifts in ammonia oxidizer and denitrifier abundances. Our field-based results challenge the laboratory-based hypothesis that increased ammonia oxidizer and denitrifier abundances by N loading would directly cause higher soil N 2 O emission. Instead, key abiotic factors (mean annual precipitation, soil pH, soil C:N ratio, and ecosystem type) explained N-induced changes in soil N 2 O emission. Altogether, these findings highlight the need for considering the roles of key abiotic factors in regulating soil N transformations under N loading to better understand the microbially mediated soil N 2 O emission., (© 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
Published: 2022
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42. The Possibility of Consensus Regarding Climate Change Adaptation Policies in Agriculture and Forestry among Stakeholder Groups in the Czech Republic.

Author: Trnka M, Bartošová L, Grammatikopoulou I, Havlík P, Olesen JE, Hlavinka P, Marek MV, Vačkářová D, Skjelvåg A, and Žalud Z
Subjects: Agriculture methods, Consensus, Czech Republic, Humans, Policy, Climate Change, Forestry
Abstract: As ongoing research efforts contribute to elucidating the consequences of climate change as well as adaptation and mitigation options, aligning the current research knowledge with stakeholder opinions and perceptions remains critical for adopting effective climate change policies. This paper utilizes an interactive survey to (1) address the aforementioned gap in studies involving three groups of stakeholders and opinion makers and (2) perform a comparative primary study of the climate change assumptions, risk perceptions, policy preferences, observations, and knowledge of Czech farmers, governmental policy-makers and researchers. This study shows that the stakeholder groups agree that the climate is clearly changing, attribute this change mostly to man-made causes and expect the negative effects to either prevail or be unevenly geographically distributed. The large majority of all three groups consider unmitigated climate change a major threat even by 2050 and agree that preparing in advance is the best sectoral strategy. Importantly, while investment in adaptation measures is considered the most efficient tool for accelerating the implementation of adaptation measures, the CAP and EU rules (as valid in 2016) are believed to hinder such measures. The results of this study have ramifications for the wider region of Central Europe., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2022
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43. Effect of wind speed variation on rainfed wheat production evaluated by the CERES-Wheat model.

Author: Araghi A, Maghrebi M, and Olesen JE
Subjects: Climate Change, Edible Grain, Seasons, Triticum, Wind
Abstract: Climate is one of the major factors affecting crop phenology and yield. In most previous studies, impacts of temperature (T) and rainfall (R) on crop development, growth, and yield were investigated, while the effect of wind speed (WS) has so far not been assessed. In this study, the influence of WS alteration on rainfed wheat production was evaluated in arid and semi-arid environments during a 25-year period in northeast Iran. In so doing, various climatic scenarios were defined using T, R, and WS changes, and then applied to the CERES-Wheat model included in DSSAT v4.7.5. The results showed that WS variation can alter total ET (planting to harvest) from -12.1 to +8.9%, aboveground biomass from -8.4 to +11.0%, water use efficiency from -13.4 to +19.7%, and grain yield from -11.2 to +15.3%. These changes were in many cases related to the climatic conditions. It was also revealed that in a greater amount of rainfall and shorter growing season (i.e., less drought stress), the WS variation had the stronger impact on total ET; while for aboveground biomass, water use efficiency, and grain yield, the greatest effect of WS variation was detected under the water scarcity conditions (i.e., low rainfall). The results demonstrate that wind speed needs to be better considered in climate change impact studies, in particular in water-scarce regions., (© 2021. ISB.)
Published: 2022
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44. Land-use and agriculture in Denmark around year 1900 and the quest for EU Water Framework Directive reference conditions in coastal waters.

Author: Christensen BT, Pedersen BF, Olesen JE, and Eriksen J
Subjects: Agriculture, Denmark, Environmental Monitoring, Humans, Nitrogen analysis, Water, Water Pollutants, Chemical analysis
Abstract: The EU Water Framework Directive (WFD) aims to protect the ecological status of coastal waters. To establish acceptable boundaries between good and moderate ecological status, the WFD calls for reference conditions practically undisturbed by human impact. For Denmark, the nitrogen (N) concentrations present around year 1900 have been suggested to represent reference conditions. As the N load of coastal waters relates closely to runoff from land, any reduction in load links to agricultural activity. We challenge the current use of historical N balances to establish WFD reference conditions and initiate an alternative approach based on parish-level land-use statistics collected 1896/1900 and N concentrations in root zone percolates from experiments with year 1900-relevant management. This approach may be more widely applicable for landscapes with detailed historic information on agricultural activity. Using this approach, we find an average N concentration in root zone percolates that is close to that of current agriculture. Thus, considering Danish coastal waters to be practically unaffected by human activity around year 1900 remains futile as 75% of the land area was subject to agricultural activity with a substantial potential for N loss to the environment. It appears unlikely that the ecological state of coastal waters around year 1900 may serve as WFD reference condition., (© 2021. The Author(s).)
Published: 2021
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45. Soil N 2 O emission from organic and conventional cotton farming in Northern Tanzania.

Author: Bwana TN, Amuri NA, Semu E, Elsgaard L, Butterbach-Bahl K, Pelster DE, and Olesen JE
Abstract: The effort to increase the sustainable supply of food and fibre is challenged by the potential for increased greenhouse gas (GHG) emissions from farming systems with intensified production systems. This study aimed at quantifying soil N 2 O emissions from smallholder organic and conventional cotton production practices in a semi-arid area, Meatu, Northern Tanzania. Field experiments were conducted to quantify N 2 O emissions under (i) current practices with organic (3 Mg ha -1 farmyard manure (FYM)) and conventional (30 kg mineral N ha -1 ) cultivation; (ii) a high input practice with organic (5 Mg ha -1 FYM) and conventional (60 kg mineral N ha -1 ) cultivation; and (iii) an integrated practice with organic (3 Mg FYM + legume intercropping) and conventional (30 kg N + 3 Mg ha -1 FYM) cultivation. In both organic and conventional farming, control treatments with no fertilizer application were included. The study was performed over two growing seasons, where season 1 was rather wet and season 2 was rather dry. Static chambers were used for in-situ measurement of N 2 O emission from soil. The current organic and conventional cotton farming practices did not differ (P > 0.05) in cumulative area-scaled and yield-scaled N 2 O emissions. High input conventional cotton showed higher area scaled N 2 O emissions than organic cotton during the wetter season, but not during the drier season. The inorganic fertilizer + FYM combination did not differ (P > 0.05) in area- and yield-scaled N 2 O emissions from conventional practice. Intercropping cotton and legumes did not affect (P > 0.05) N 2 O emission compared to 3 Mg FYM ha -1 . The emission factors for both conventional and organic systems were generally above 1% in the dry season 2, but below 1% in the wetter season 1. The use of organic and inorganic fertilizers at rates up to 60 kg N ha -1 , FYM-inorganic fertilizer combination, and cotton-legume intercropping increased yields, while N 2 O emissions stayed low, in particular with use of mineral fertilizers., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)
Published: 2021
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46. Temperature thresholds of ecosystem respiration at a global scale.

Author: Johnston ASA, Meade A, Ardö J, Arriga N, Black A, Blanken PD, Bonal D, Brümmer C, Cescatti A, Dušek J, Graf A, Gioli B, Goded I, Gough CM, Ikawa H, Jassal R, Kobayashi H, Magliulo V, Manca G, Montagnani L, Moyano FE, Olesen JE, Sachs T, Shao C, Tagesson T, Wohlfahrt G, Wolf S, Woodgate W, Varlagin A, and Venditti C
Subjects: Respiration, Soil, Temperature, Carbon Cycle, Ecosystem
Abstract: Ecosystem respiration is a major component of the global terrestrial carbon cycle and is strongly influenced by temperature. The global extent of the temperature-ecosystem respiration relationship, however, has not been fully explored. Here, we test linear and threshold models of ecosystem respiration across 210 globally distributed eddy covariance sites over an extensive temperature range. We find thresholds to the global temperature-ecosystem respiration relationship at high and low air temperatures and mid soil temperatures, which represent transitions in the temperature dependence and sensitivity of ecosystem respiration. Annual ecosystem respiration rates show a markedly reduced temperature dependence and sensitivity compared to half-hourly rates, and a single mid-temperature threshold for both air and soil temperature. Our study indicates a distinction in the influence of environmental factors, including temperature, on ecosystem respiration between latitudinal and climate gradients at short (half-hourly) and long (annual) timescales. Such climatological differences in the temperature sensitivity of ecosystem respiration have important consequences for the terrestrial net carbon sink under ongoing climate change.
Published: 2021
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47. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author: Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond JM, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin JM, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival JM, Papuga SA, Parmentier FJ, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen JP, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, and Papale D
Published: 2021
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48. Long-term nitrogen loading alleviates phosphorus limitation in terrestrial ecosystems.

Author: Chen J, van Groenigen KJ, Hungate BA, Terrer C, van Groenigen JW, Maestre FT, Ying SC, Luo Y, Jørgensen U, Sinsabaugh RL, Olesen JE, and Elsgaard L
Subjects: Biomass, Carbon, Ecosystem, Humans, Soil, Nitrogen, Phosphorus
Abstract: Increased human-derived nitrogen (N) deposition to terrestrial ecosystems has resulted in widespread phosphorus (P) limitation of net primary productivity. However, it remains unclear if and how N-induced P limitation varies over time. Soil extracellular phosphatases catalyze the hydrolysis of P from soil organic matter, an important adaptive mechanism for ecosystems to cope with N-induced P limitation. Here we show, using a meta-analysis of 140 studies and 668 observations worldwide, that N stimulation of soil phosphatase activity diminishes over time. Whereas short-term N loading (≤5 years) significantly increased soil phosphatase activity by 28%, long-term N loading had no significant effect. Nitrogen loading did not affect soil available P and total P content in either short- or long-term studies. Together, these results suggest that N-induced P limitation in ecosystems is alleviated in the long-term through the initial stimulation of soil phosphatase activity, thereby securing P supply to support plant growth. Our results suggest that increases in terrestrial carbon uptake due to ongoing anthropogenic N loading may be greater than previously thought., (© 2020 John Wiley & Sons Ltd.)
Published: 2020
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49. Impacts of changing society and climate on nutrient loading to the Baltic Sea.

Author: Pihlainen S, Zandersen M, Hyytiäinen K, Andersen HE, Bartosova A, Gustafsson B, Jabloun M, McCrackin M, Meier HEM, Olesen JE, Saraiva S, Swaney D, and Thodsen H
Abstract: This paper studies the relative importance of societal drivers and changing climate on anthropogenic nutrient inputs to the Baltic Sea. Shared Socioeconomic Pathways and Representative Concentration Pathways are extended at temporal and spatial scales relevant for the most contributing sectors. Extended socioeconomic and climate scenarios are then used as inputs for spatially and temporally detailed models for population and land use change, and their subsequent impact on nutrient loading is computed. According to the model simulations, several factors of varying influence may either increase or decrease total nutrient loads. In general, societal drivers outweigh the impacts of changing climate. Food demand is the most impactful driver, strongly affecting land use and nutrient loads from agricultural lands in the long run. In order to reach the good environmental status of the Baltic Sea, additional nutrient abatement efforts should focus on phosphorus rather than nitrogen. Agriculture is the most important sector to be addressed under the conditions of gradually increasing precipitation in the region and increasing global demand for food., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2020
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50. Plants with lengthened phenophases increase their dominance under warming in an alpine plant community.

Author: Chen J, Luo Y, Chen Y, Felton AJ, Hopping KA, Wang RW, Niu S, Cheng X, Zhang Y, Cao J, Olesen JE, Andersen MN, and Jørgensen U
Subjects: Flowers, Seasons, Temperature, Climate Change, Plants
Abstract: Predicting how shifts in plant phenology affect species dominance remains challenging, because plant phenology and species dominance have been largely investigated independently. Moreover, most phenological research has primarily focused on phenological firsts (leaf-out and first flower dates), leading to a lack of representation of phenological lasts (leaf senescence and last flower) and full phenological periods (growing season length and flower duration). Here, we simultaneously investigated the effects of experimental warming on different phenological events of various species and species dominance in an alpine meadow on the Tibetan Plateau. Warming significantly advanced phenological firsts for most species but had variable effects on phenological lasts. As a result, warming tended to extend species' full phenological periods, although this trend was not significant for all species. Experimental warming reduced community evenness and differentially impacted species dominance. Shifts in full phenological periods, rather than a single shift in phenological firsts or phenological lasts, were associated with changes in species dominance. Species with lengthened full phenological periods under warming increased their dominance. Our results advance the understanding of how altered species-specific phenophases relate to changes in community structure in response to climate change., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)
Published: 2020
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