TY  - INPR
A1  - Acharya, B. S.
A1  - Actis, M.
A1  - Aghajani, T.
A1  - Agnetta, G.
A1  - Aguilar, J.
A1  - Aharonian, Felix A.
A1  - Ajello, M.
A1  - Akhperjanian, A. G.
A1  - Alcubierre, M.
A1  - Aleksic, J.
A1  - Alfaro, R.
A1  - Aliu, E.
A1  - Allafort, A. J.
A1  - Allan, D.
A1  - Allekotte, I.
A1  - Amato, E.
A1  - Anderson, J.
A1  - Angüner, Ekrem Oǧuzhan
A1  - Antonelli, L. A.
A1  - Antoranz, P.
A1  - Aravantinos, A.
A1  - Arlen, T.
A1  - Armstrong, T.
A1  - Arnaldi, H.
A1  - Arrabito, L.
A1  - Asano, K.
A1  - Ashton, T.
A1  - Asorey, H. G.
A1  - Awane, Y.
A1  - Baba, H.
A1  - Babic, A.
A1  - Baby, N.
A1  - Baehr, J.
A1  - Bais, A.
A1  - Baixeras, C.
A1  - Bajtlik, S.
A1  - Balbo, M.
A1  - Balis, D.
A1  - Balkowski, C.
A1  - Bamba, A.
A1  - Bandiera, R.
A1  - Barber, A.
A1  - Barbier, C.
A1  - Barcelo, M.
A1  - Barnacka, Anna
A1  - Barnstedt, Jürgen
A1  - Barres de Almeida, U.
A1  - Barrio, J. A.
A1  - Basili, A.
A1  - Basso, S.
A1  - Bastieri, D.
A1  - Bauer, C.
A1  - Baushev, Anton N.
A1  - Becerra Gonzalez, J.
A1  - Becherini, Yvonne
A1  - Bechtol, K. C.
A1  - Tjus, J. Becker
A1  - Beckmann, Volker
A1  - Bednarek, W.
A1  - Behera, B.
A1  - Belluso, M.
A1  - Benbow, W.
A1  - Berdugo, J.
A1  - Berger, K.
A1  - Bernard, F.
A1  - Bernardino, T.
A1  - Bernlöhr, K.
A1  - Bhat, N.
A1  - Bhattacharyya, S.
A1  - Bigongiari, C.
A1  - Biland, A.
A1  - Billotta, S.
A1  - Bird, T.
A1  - Birsin, E.
A1  - Bissaldi, E.
A1  - Biteau, Jonathan
A1  - Bitossi, M.
A1  - Blake, S.
A1  - Blanch Bigas, O.
A1  - Blasi, P.
A1  - Bobkov, A. A.
A1  - Boccone, V.
A1  - Boettcher, Markus
A1  - Bogacz, L.
A1  - Bogart, J.
A1  - Bogdan, M.
A1  - Boisson, Catherine
A1  - Boix Gargallo, J.
A1  - Bolmont, J.
A1  - Bonanno, G.
A1  - Bonardi, A.
A1  - Bonev, T.
A1  - Bonifacio, P.
A1  - Bonnoli, G.
A1  - Bordas, Pol
A1  - Borgland, A. W.
A1  - Borkowski, Janett
A1  - Bose, R.
A1  - Botner, O.
A1  - Bottani, A.
A1  - Bouchet, L.
A1  - Bourgeat, M.
A1  - Boutonnet, C.
A1  - Bouvier, A.
A1  - Brau-Nogue, S.
A1  - Braun, I.
A1  - Bretz, T.
A1  - Briggs, M. S.
A1  - Bringmann, T.
A1  - Brook, P.
A1  - Brun, Pierre
A1  - Brunetti, L.
A1  - Buanes, T.
A1  - Buckley, J. H.
A1  - Buehler, R.
A1  - Bugaev, V.
A1  - Bulgarelli, A.
A1  - Bulik, Tomasz
A1  - Busetto, G.
A1  - Buson, S.
A1  - Byrum, K.
A1  - Cailles, M.
A1  - Cameron, R. A.
A1  - Camprecios, J.
A1  - Canestrari, R.
A1  - Cantu, S.
A1  - Capalbi, M.
A1  - Caraveo, P. A.
A1  - Carmona, E.
A1  - Carosi, A.
A1  - Carr, John
A1  - Carton, P. H.
A1  - Casanova, Sabrina
A1  - Casiraghi, M.
A1  - Catalano, O.
A1  - Cavazzani, S.
A1  - Cazaux, S.
A1  - Cerruti, M.
A1  - Chabanne, E.
A1  - Chadwick, Paula M.
A1  - Champion, C.
A1  - Chen, Andrew
A1  - Chiang, J.
A1  - Chiappetti, L.
A1  - Chikawa, M.
A1  - Chitnis, V. R.
A1  - Chollet, F.
A1  - Chudoba, J.
A1  - Cieslar, M.
A1  - Cillis, A. N.
A1  - Cohen-Tanugi, J.
A1  - Colafrancesco, Sergio
A1  - Colin, P.
A1  - Calome, J.
A1  - Colonges, S.
A1  - Compin, M.
A1  - Conconi, P.
A1  - Conforti, V.
A1  - Connaughton, V.
A1  - Conrad, Jan
A1  - Contreras, J. L.
A1  - Coppi, P.
A1  - Corona, P.
A1  - Corti, D.
A1  - Cortina, J.
A1  - Cossio, L.
A1  - Costantini, H.
A1  - Cotter, G.
A1  - Courty, B.
A1  - Couturier, S.
A1  - Covino, S.
A1  - Crimi, G.
A1  - Criswell, S. J.
A1  - Croston, J.
A1  - Cusumano, G.
A1  - Dafonseca, M.
A1  - Dale, O.
A1  - Daniel, M.
A1  - Darling, J.
A1  - Davids, I.
A1  - Dazzi, F.
A1  - De Angelis, A.
A1  - De Caprio, V.
A1  - De Frondat, F.
A1  - de Gouveia Dal Pino, E. M.
A1  - de la Calle, I.
A1  - De La Vega, G. A.
A1  - Lopez, R. de los Reyes
A1  - De Lotto, B.
A1  - De Luca, A.
A1  - de Mello Neto, J. R. T.
A1  - de Naurois, M.
A1  - de Oliveira, Y.
A1  - de Ona Wilhelmi, E.
A1  - de Souza, V.
A1  - Decerprit, G.
A1  - Decock, G.
A1  - Deil, C.
A1  - Delagnes, E.
A1  - Deleglise, G.
A1  - Delgado, C.
A1  - Della Volpe, D.
A1  - Demange, P.
A1  - Depaola, G.
A1  - Dettlaff, A.
A1  - Di Paola, A.
A1  - Di Pierro, F.
A1  - Diaz, C.
A1  - Dick, J.
A1  - Dickherber, R.
A1  - Dickinson, H.
A1  - Diez-Blanco, V.
A1  - Digel, S.
A1  - Dimitrov, D.
A1  - Disset, G.
A1  - Djannati-Ataï, A.
A1  - Doert, M.
A1  - Dohmke, M.
A1  - Domainko, W.
A1  - Prester, Dijana Dominis
A1  - Donat, A.
A1  - Dorner, D.
A1  - Doro, M.
A1  - Dournaux, J-L.
A1  - Drake, G.
A1  - Dravins, D.
A1  - Drury, L.
A1  - Dubois, F.
A1  - Dubois, R.
A1  - Dubus, G.
A1  - Dufour, C.
A1  - Dumas, D.
A1  - Dumm, J.
A1  - Durand, D.
A1  - Dyks, J.
A1  - Dyrda, M.
A1  - Ebr, J.
A1  - Edy, E.
A1  - Egberts, Kathrin
A1  - Eger, P.
A1  - Einecke, S.
A1  - Eleftheriadis, C.
A1  - Elles, S.
A1  - Emmanoulopoulos, D.
A1  - Engelhaupt, D.
A1  - Enomoto, R.
A1  - Ernenwein, J-P
A1  - Errando, M.
A1  - Etchegoyen, A.
A1  - Evans, P.
A1  - Falcone, A.
A1  - Fantinel, D.
A1  - Farakos, K.
A1  - Farnier, C.
A1  - Fasola, G.
A1  - Favill, B.
A1  - Fede, E.
A1  - Federici, S.
A1  - Fegan, S.
A1  - Feinstein, F.
A1  - Ferenc, D.
A1  - Ferrando, P.
A1  - Fesquet, M.
A1  - Fiasson, A.
A1  - Fillin-Martino, E.
A1  - Fink, D.
A1  - Finley, C.
A1  - Finley, J. P.
A1  - Fiorini, M.
A1  - Firpo Curcoll, R.
A1  - Flores, H.
A1  - Florin, D.
A1  - Focke, W.
A1  - Foehr, C.
A1  - Fokitis, E.
A1  - Font, L.
A1  - Fontaine, G.
A1  - Fornasa, M.
A1  - Foerster, A.
A1  - Fortson, L.
A1  - Fouque, N.
A1  - Franckowiak, A.
A1  - Fransson, C.
A1  - Fraser, G.
A1  - Frei, R.
A1  - Albuquerque, I. F. M.
A1  - Fresnillo, L.
A1  - Fruck, C.
A1  - Fujita, Y.
A1  - Fukazawa, Y.
A1  - Fukui, Y.
A1  - Funk, S.
A1  - Gaebele, W.
A1  - Gabici, S.
A1  - Gabriele, R.
A1  - Gadola, A.
A1  - Galante, N.
A1  - Gall, D.
A1  - Gallant, Y.
A1  - Gamez-Garcia, J.
A1  - Garcia, B.
A1  - Garcia Lopez, R.
A1  - Gardiol, D.
A1  - Garrido, D.
A1  - Garrido, L.
A1  - Gascon, D.
A1  - Gaug, M.
A1  - Gaweda, J.
A1  - Gebremedhin, L.
A1  - Geffroy, N.
A1  - Gerard, L.
A1  - Ghedina, A.
A1  - Ghigo, M.
A1  - Giannakaki, E.
A1  - Gianotti, F.
A1  - Giarrusso, S.
A1  - Giavitto, G.
A1  - Giebels, B.
A1  - Gika, V.
A1  - Giommi, P.
A1  - Girard, N.
A1  - Giro, E.
A1  - Giuliani, A.
A1  - Glanzman, T.
A1  - Glicenstein, J. -F.
A1  - Godinovic, N.
A1  - Golev, V.
A1  - Gomez Berisso, M.
A1  - Gomez-Ortega, J.
A1  - Gonzalez, M. M.
A1  - Gonzalez, A.
A1  - Gonzalez, F.
A1  - Gonzalez Munoz, A.
A1  - Gothe, K. S.
A1  - Gougerot, M.
A1  - Graciani, R.
A1  - Grandi, P.
A1  - Granena, F.
A1  - Granot, J.
A1  - Grasseau, G.
A1  - Gredig, R.
A1  - Green, A.
A1  - Greenshaw, T.
A1  - Gregoire, T.
A1  - Grimm, O.
A1  - Grube, J.
A1  - Grudzinska, M.
A1  - Gruev, V.
A1  - Gruenewald, S.
A1  - Grygorczuk, J.
A1  - Guarino, V.
A1  - Gunji, S.
A1  - Gyuk, G.
A1  - Hadasch, D.
A1  - Hagiwara, R.
A1  - Hahn, J.
A1  - Hakansson, N.
A1  - Hallgren, A.
A1  - Hamer Heras, N.
A1  - Hara, S.
A1  - Hardcastle, M. J.
A1  - Harris, J.
A1  - Hassan, T.
A1  - Hatanaka, K.
A1  - Haubold, T.
A1  - Haupt, A.
A1  - Hayakawa, T.
A1  - Hayashida, M.
A1  - Heller, R.
A1  - Henault, F.
A1  - Henri, G.
A1  - Hermann, G.
A1  - Hermel, R.
A1  - Herrero, A.
A1  - Hidaka, N.
A1  - Hinton, J.
A1  - Hoffmann, D.
A1  - Hofmann, W.
A1  - Hofverberg, P.
A1  - Holder, J.
A1  - Horns, D.
A1  - Horville, D.
A1  - Houles, J.
A1  - Hrabovsky, M.
A1  - Hrupec, D.
A1  - Huan, H.
A1  - Huber, B.
A1  - Huet, J. -M.
A1  - Hughes, G.
A1  - Humensky, T. B.
A1  - Huovelin, J.
A1  - Ibarra, A.
A1  - Illa, J. M.
A1  - Impiombato, D.
A1  - Incorvaia, S.
A1  - Inoue, S.
A1  - Inoue, Y.
A1  - Ioka, K.
A1  - Ismailova, E.
A1  - Jablonski, C.
A1  - Jacholkowska, A.
A1  - Jamrozy, M.
A1  - Janiak, M.
A1  - Jean, P.
A1  - Jeanney, C.
A1  - Jimenez, J. J.
A1  - Jogler, T.
A1  - Johnson, T.
A1  - Journet, L.
A1  - Juffroy, C.
A1  - Jung, I.
A1  - Kaaret, P.
A1  - Kabuki, S.
A1  - Kagaya, M.
A1  - Kakuwa, J.
A1  - Kalkuhl, C.
A1  - Kankanyan, R.
A1  - Karastergiou, A.
A1  - Kaercher, K.
A1  - Karczewski, M.
A1  - Karkar, S.
A1  - Kasperek, Aci.
A1  - Kastana, D.
A1  - Katagiri, H.
A1  - Kataoka, J.
A1  - Katarzynski, K.
A1  - Katz, U.
A1  - Kawanaka, N.
A1  - Kellner-Leidel, B.
A1  - Kelly, H.
A1  - Kendziorra, E.
A1  - Khelifi, B.
A1  - Kieda, D. B.
A1  - Kifune, T.
A1  - Kihm, T.
A1  - Kishimoto, T.
A1  - Kitamoto, K.
A1  - Kluzniak, W.
A1  - Knapic, C.
A1  - Knapp, J. w
A1  - Knoedlseder, J.
A1  - Koeck, F.
A1  - Kocot, J.
A1  - Kodani, K.
A1  - Koehne, J. -H.
A1  - Kohri, K.
A1  - Kokkotas, K.
A1  - Kolitzus, D.
A1  - Komin, N.
A1  - Kominis, I.
A1  - Konno, Y.
A1  - Koeppel, H.
A1  - Korohoda, P.
A1  - Kosack, K.
A1  - Koss, G.
A1  - Kossakowski, R.
A1  - Kostka, P.
A1  - Koul, R.
A1  - Kowal, G.
A1  - Koyama, S.
A1  - Koziol, J.
A1  - Kraehenbuehl, T.
A1  - Krause, J.
A1  - Krawzcynski, H.
A1  - Krennrich, F.
A1  - Krepps, A.
A1  - Kretzschmann, A.
A1  - Krobot, R.
A1  - Krueger, P.
A1  - Kubo, H.
A1  - Kudryavtsev, V. A.
A1  - Kushida, J.
A1  - Kuznetsov, A.
A1  - La Barbera, A.
A1  - La Palombara, N.
A1  - La Parola, V.
A1  - La Rosa, G.
A1  - Lacombe, K.
A1  - Lamanna, G.
A1  - Lande, J.
A1  - Languignon, D.
A1  - Lapington, J.
A1  - Laporte, P.
A1  - Lavalley, C.
A1  - Le Flour, T.
A1  - Le Padellec, A.
A1  - Lee, S. -H.
A1  - Lee, W. H.
A1  - Leigui de Oliveira, M. A.
A1  - Lelas, D.
A1  - Lenain, J. -P.
A1  - Leopold, D. J.
A1  - Lerch, T.
A1  - Lessio, L.
A1  - Lieunard, B.
A1  - Lindfors, E.
A1  - Liolios, A.
A1  - Lipniacka, A.
A1  - Lockart, H.
A1  - Lohse, T.
A1  - Lombardi, S.
A1  - Lopatin, A.
A1  - Lopez, M.
A1  - Lopez-Coto, R.
A1  - Lopez-Oramas, A.
A1  - Lorca, A.
A1  - Lorenz, E.
A1  - Lubinski, P.
A1  - Lucarelli, F.
A1  - Luedecke, H.
A1  - Ludwin, J.
A1  - Luque-Escamilla, P. L.
A1  - Lustermann, W.
A1  - Luz, O.
A1  - Lyard, E.
A1  - Maccarone, M. C.
A1  - Maccarone, T. J.
A1  - Madejski, G. M.
A1  - Madhavan, A.
A1  - Mahabir, M.
A1  - Maier, G.
A1  - Majumdar, P.
A1  - Malaguti, G.
A1  - Maltezos, S.
A1  - Manalaysay, A.
A1  - Mancilla, A.
A1  - Mandat, D.
A1  - Maneva, G.
A1  - Mangano, A.
A1  - Manigot, P.
A1  - Mannheim, K.
A1  - Manthos, I.
A1  - Maragos, N.
A1  - Marcowith, Alexandre
A1  - Mariotti, M.
A1  - Marisaldi, M.
A1  - Markoff, S.
A1  - Marszalek, A.
A1  - Martens, C.
A1  - Marti, J.
A1  - Martin, J-M.
A1  - Martin, P.
A1  - Martinez, G.
A1  - Martinez, F.
A1  - Martinez, M.
A1  - Masserot, A.
A1  - Mastichiadis, A.
A1  - Mathieu, A.
A1  - Matsumoto, H.
A1  - Mattana, F.
A1  - Mattiazzo, S.
A1  - Maurin, G.
A1  - Maxfield, S.
A1  - Maya, J.
A1  - Mazin, D.
A1  - Mc Comb, L.
A1  - McCubbin, N.
A1  - McHardy, I.
A1  - McKay, R.
A1  - Medina, C.
A1  - Melioli, C.
A1  - Melkumyan, D.
A1  - Mereghetti, S.
A1  - Mertsch, P.
A1  - Meucci, M.
A1  - Michalowski, J.
A1  - Micolon, P.
A1  - Mihailidis, A.
A1  - Mineo, T.
A1  - Minuti, M.
A1  - Mirabal, N.
A1  - Mirabel, F.
A1  - Miranda, J. M.
A1  - Mirzoyan, R.
A1  - Mizuno, T.
A1  - Moal, B.
A1  - Moderski, R.
A1  - Mognet, I.
A1  - Molinari, E.
A1  - Molinaro, M.
A1  - Montaruli, T.
A1  - Monteiro, I.
A1  - Moore, P.
A1  - Moralejo Olaizola, A.
A1  - Mordalska, M.
A1  - Morello, C.
A1  - Mori, K.
A1  - Mottez, F.
A1  - Moudden, Y.
A1  - Moulin, Emmanuel
A1  - Mrusek, I.
A1  - Mukherjee, R.
A1  - Munar-Adrover, P.
A1  - Muraishi, H.
A1  - Murase, K.
A1  - Murphy, A.
A1  - Nagataki, S.
A1  - Naito, T.
A1  - Nakajima, D.
A1  - Nakamori, T.
A1  - Nakayama, K.
A1  - Naumann, C. L.
A1  - Naumann, D.
A1  - Naumann-Godo, M.
A1  - Nayman, P.
A1  - Nedbal, D.
A1  - Neise, D.
A1  - Nellen, L.
A1  - Neustroev, V.
A1  - Neyroud, N.
A1  - Nicastro, L.
A1  - Nicolau-Kuklinski, J.
A1  - Niedzwiecki, A.
A1  - Niemiec, J.
A1  - Nieto, D.
A1  - Nikolaidis, A.
A1  - Nishijima, K.
A1  - Nolan, S.
A1  - Northrop, R.
A1  - Nosek, D.
A1  - Nowak, N.
A1  - Nozato, A.
A1  - O'Brien, P.
A1  - Ohira, Y.
A1  - Ohishi, M.
A1  - Ohm, S.
A1  - Ohoka, H.
A1  - Okuda, T.
A1  - Okumura, A.
A1  - Olive, J. -F.
A1  - Ong, R. A.
A1  - Orito, R.
A1  - Orr, M.
A1  - Osborne, J.
A1  - Ostrowski, M.
A1  - Otero, L. A.
A1  - Otte, N.
A1  - Ovcharov, E.
A1  - Oya, I.
A1  - Ozieblo, A.
A1  - Padilla, L.
A1  - Paiano, S.
A1  - Paillot, D.
A1  - Paizis, A.
A1  - Palanque, S.
A1  - Palatka, M.
A1  - Pallota, J.
A1  - Panagiotidis, K.
A1  - Panazol, J. -L.
A1  - Paneque, D.
A1  - Panter, M.
A1  - Paoletti, R.
A1  - Papayannis, Alexandros
A1  - Papyan, G.
A1  - Paredes, J. M.
A1  - Pareschi, G.
A1  - Parks, G.
A1  - Parraud, J. -M.
A1  - Parsons, D.
A1  - Arribas, M. Paz
A1  - Pech, M.
A1  - Pedaletti, G.
A1  - Pelassa, V.
A1  - Pelat, D.
A1  - Perez, M. D. C.
A1  - Persic, M.
A1  - Petrucci, P-O
A1  - Peyaud, B.
A1  - Pichel, A.
A1  - Pita, S.
A1  - Pizzolato, F.
A1  - Platos, L.
A1  - Platzer, R.
A1  - Pogosyan, L.
A1  - Pohl, M.
A1  - Pojmanski, G.
A1  - Ponz, J. D.
A1  - Potter, W.
A1  - Poutanen, J.
A1  - Prandini, E.
A1  - Prast, J.
A1  - Preece, R.
A1  - Profeti, F.
A1  - Prokoph, H.
A1  - Prouza, M.
A1  - Proyetti, M.
A1  - Puerto-Gimenez, I.
A1  - Puehlhofer, G.
A1  - Puljak, I.
A1  - Punch, M.
A1  - Pyziol, R.
A1  - Quel, E. J.
A1  - Quinn, J.
A1  - Quirrenbach, A.
A1  - Racero, E.
A1  - Rajda, P. J.
A1  - Ramon, P.
A1  - Rando, R.
A1  - Rannot, R. C.
A1  - Rataj, M.
A1  - Raue, M.
A1  - Reardon, P.
A1  - Reimann, O.
A1  - Reimer, A.
A1  - Reimer, O.
A1  - Reitberger, K.
A1  - Renaud, M.
A1  - Renner, S.
A1  - Reville, B.
A1  - Rhode, W.
A1  - Ribo, M.
A1  - Ribordy, M.
A1  - Richer, M. G.
A1  - Rico, J.
A1  - Ridky, J.
A1  - Rieger, F.
A1  - Ringegni, P.
A1  - Ripken, J.
A1  - Ristori, P. R.
A1  - Riviere, A.
A1  - Rivoire, S.
A1  - Rob, L.
A1  - Roeser, U.
A1  - Rohlfs, R.
A1  - Rojas, G.
A1  - Romano, Patrizia
A1  - Romaszkan, W.
A1  - Romero, G. E.
A1  - Rosen, S.
A1  - Lees, S. Rosier
A1  - Ross, D.
A1  - Rouaix, G.
A1  - Rousselle, J.
A1  - Rousselle, S.
A1  - Rovero, A. C.
A1  - Roy, F.
A1  - Royer, S.
A1  - Rudak, B.
A1  - Rulten, C.
A1  - Rupinski, M.
A1  - Russo, F.
A1  - Ryde, F.
A1  - Sacco, B.
A1  - Saemann, E. O.
A1  - Saggion, A.
A1  - Safiakian, V.
A1  - Saito, K.
A1  - Saito, T.
A1  - Saito, Y.
A1  - Sakaki, N.
A1  - Sakonaka, R.
A1  - Salini, A.
A1  - Sanchez, F.
A1  - Sanchez-Conde, M.
A1  - Sandoval, A.
A1  - Sandaker, H.
A1  - Sant'Ambrogio, E.
A1  - Santangelo, Andrea
A1  - Santos, E. M.
A1  - Sanuy, A.
A1  - Sapozhnikov, L.
A1  - Sarkar, S.
A1  - Sartore, N.
A1  - Sasaki, H.
A1  - Satalecka, K.
A1  - Sawada, M.
A1  - Scalzotto, V.
A1  - Scapin, V.
A1  - Scarcioffolo, M.
A1  - Schafer, J.
A1  - Schanz, T.
A1  - Schlenstedt, S.
A1  - Schlickeiser, R.
A1  - Schmidt, T.
A1  - Schmoll, J.
A1  - Schovanek, P.
A1  - Schroedter, M.
A1  - Schultz, C.
A1  - Schultze, J.
A1  - Schulz, A.
A1  - Schure, K.
A1  - Schwab, T.
A1  - Schwanke, U.
A1  - Schwarz, J.
A1  - Schwarzburg, S.
A1  - Schweizer, T.
A1  - Schwemmer, S.
A1  - Segreto, A.
A1  - Seiradakis, J. -H.
A1  - Sembroski, G. H.
A1  - Seweryn, K.
A1  - Sharma, M.
A1  - Shayduk, M.
A1  - Shellard, R. C.
A1  - Shi, J.
A1  - Shibata, T.
A1  - Shibuya, A.
A1  - Shum, E.
A1  - Sidoli, L.
A1  - Sidz, M.
A1  - Sieiro, J.
A1  - Sikora, M.
A1  - Silk, J.
A1  - Sillanpaa, A.
A1  - Singh, B. B.
A1  - Sitarek, J.
A1  - Skole, C.
A1  - Smareglia, R.
A1  - Smith, A.
A1  - Smith, D.
A1  - Smith, J.
A1  - Smith, N.
A1  - Sobczynska, D.
A1  - Sol, H.
A1  - Sottile, G.
A1  - Sowinski, M.
A1  - Spanier, F.
A1  - Spiga, D.
A1  - Spyrou, S.
A1  - Stamatescu, V.
A1  - Stamerra, A.
A1  - Starling, R.
A1  - Stawarz, L.
A1  - Steenkamp, R.
A1  - Stegmann, Christian
A1  - Steiner, S.
A1  - Stergioulas, N.
A1  - Sternberger, R.
A1  - Sterzel, M.
A1  - Stinzing, F.
A1  - Stodulski, M.
A1  - Straumann, U.
A1  - Strazzeri, E.
A1  - Stringhetti, L.
A1  - Suarez, A.
A1  - Suchenek, M.
A1  - Sugawara, R.
A1  - Sulanke, K. -H.
A1  - Sun, S.
A1  - Supanitsky, A. D.
A1  - Suric, T.
A1  - Sutcliffe, P.
A1  - Sykes, J.
A1  - Szanecki, M.
A1  - Szepieniec, T.
A1  - Szostek, A.
A1  - Tagliaferri, G.
A1  - Tajima, H.
A1  - Takahashi, H.
A1  - Takahashi, K.
A1  - Takalo, L.
A1  - Takami, H.
A1  - Talbot, C.
A1  - Tammi, J.
A1  - Tanaka, M.
A1  - Tanaka, S.
A1  - Tasan, J.
A1  - Tavani, M.
A1  - Tavernet, J. -P.
A1  - Tejedor, L. A.
A1  - Telezhinsky, Igor O.
A1  - Temnikov, P.
A1  - Tenzer, C.
A1  - Terada, Y.
A1  - Terrier, R.
A1  - Teshima, M.
A1  - Testa, V.
A1  - Tezier, D.
A1  - Thuermann, D.
A1  - Tibaldo, L.
A1  - Tibolla, O.
A1  - Tiengo, A.
A1  - Tluczykont, M.
A1  - Todero Peixoto, C. J.
A1  - Tokanai, F.
A1  - Tokarz, M.
A1  - Toma, K.
A1  - Torii, K.
A1  - Tornikoski, M.
A1  - Torres, D. F.
A1  - Torres, M.
A1  - Tosti, G.
A1  - Totani, T.
A1  - Toussenel, C.
A1  - Tovmassian, G.
A1  - Travnicek, P.
A1  - Trifoglio, M.
A1  - Troyano, I.
A1  - Tsinganos, K.
A1  - Ueno, H.
A1  - Umehara, K.
A1  - Upadhya, S. S.
A1  - Usher, T.
A1  - Uslenghi, M.
A1  - Valdes-Galicia, J. F.
A1  - Vallania, P.
A1  - Vallejo, G.
A1  - van Driel, W.
A1  - van Eldik, C.
A1  - Vandenbrouke, J.
A1  - Vanderwalt, J.
A1  - Vankov, H.
A1  - Vasileiadis, G.
A1  - Vassiliev, V.
A1  - Veberic, D.
A1  - Vegas, I.
A1  - Vercellone, S.
A1  - Vergani, S.
A1  - Veyssiere, C.
A1  - Vialle, J. P.
A1  - Viana, A.
A1  - Videla, M.
A1  - Vincent, P.
A1  - Vincent, S.
A1  - Vink, J.
A1  - Vlahakis, N.
A1  - Vlahos, L.
A1  - Vogler, P.
A1  - Vollhardt, A.
A1  - von Gunten, H. P.
A1  - Vorobiov, S.
A1  - Vuerli, C.
A1  - Waegebaert, V.
A1  - Wagner, R.
A1  - Wagner, R. G.
A1  - Wagner, S.
A1  - Wakely, S. P.
A1  - Walter, R.
A1  - Walther, T.
A1  - Warda, K.
A1  - Warwick, R.
A1  - Wawer, P.
A1  - Wawrzaszek, R.
A1  - Webb, N.
A1  - Wegner, P.
A1  - Weinstein, A.
A1  - Weitzel, Q.
A1  - Welsing, R.
A1  - Werner, M.
A1  - Wetteskind, H.
A1  - White, R.
A1  - Wierzcholska, A.
A1  - Wiesand, S.
A1  - Wilkinson, M.
A1  - Williams, D. A.
A1  - Willingale, R.
A1  - Winiarski, K.
A1  - Wischnewski, R.
A1  - Wisniewski, L.
A1  - Wood, M.
A1  - Woernlein, A.
A1  - Xiong, Q.
A1  - Yadav, K. K.
A1  - Yamamoto, H.
A1  - Yamamoto, T.
A1  - Yamazaki, R.
A1  - Yanagita, S.
A1  - Yebras, J. M.
A1  - Yelos, D.
A1  - Yoshida, A.
A1  - Yoshida, T.
A1  - Yoshikoshi, T.
A1  - Zabalza, V.
A1  - Zacharias, M.
A1  - Zajczyk, A.
A1  - Zanin, R.
A1  - Zdziarski, A.
A1  - Zech, Alraune
A1  - Zhao, A.
A1  - Zhou, X.
A1  - Zietara, K.
A1  - Ziolkowski, J.
A1  - Ziolkowski, P.
A1  - Zitelli, V.
A1  - Zurbach, C.
A1  - Zychowski, P.
T1  - Introducing the CTA concept
T2  - Astroparticle physics
N2  - The Cherenkov Telescope Array (CTA) is a new observatory for very high-energy (VHE) gamma rays. CTA has ambitions science goals, for which it is necessary to achieve full-sky coverage, to improve the sensitivity by about an order of magnitude, to span about four decades of energy, from a few tens of GeV to above 100 TeV with enhanced angular and energy resolutions over existing VHE gamma-ray observatories. An international collaboration has formed with more than 1000 members from 27 countries in Europe, Asia, Africa and North and South America. In 2010 the CTA Consortium completed a Design Study and started a three-year Preparatory Phase which leads to production readiness of CTA in 2014. In this paper we introduce the science goals and the concept of CTA, and provide an overview of the project.
KW  - TeV gamma-ray astronomy
KW  - Air showers
KW  - Cherenkov Telescopes
Y1  - 2013
U6  - https://doi.org/10.1016/j.astropartphys.2013.01.007
SN  - 0927-6505
SN  - 1873-2852
VL  - 43
IS  - 2
SP  - 3
EP  - 18
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Actis, M.
A1  - Agnetta, G.
A1  - Aharonian, Felix A.
A1  - Akhperjanian, A. G.
A1  - Aleksic, J.
A1  - Aliu, E.
A1  - Allan, D.
A1  - Allekotte, I.
A1  - Antico, F.
A1  - Antonelli, L. A.
A1  - Antoranz, P.
A1  - Aravantinos, A.
A1  - Arlen, T.
A1  - Arnaldi, H.
A1  - Artmann, S.
A1  - Asano, K.
A1  - Asorey, H. G.
A1  - Baehr, J.
A1  - Bais, A.
A1  - Baixeras, C.
A1  - Bajtlik, S.
A1  - Balis, D.
A1  - Bamba, A.
A1  - Barbier, C.
A1  - Barcelo, M.
A1  - Barnacka, Anna
A1  - Barnstedt, Jürgen
A1  - de Almeida, U. Barres
A1  - Barrio, J. A.
A1  - Basso, S.
A1  - Bastieri, D.
A1  - Bauer, C.
A1  - Becerra Gonzalez, J.
A1  - Becherini, Yvonne
A1  - Bechtol, K. C.
A1  - Becker, J.
A1  - Beckmann, Volker
A1  - Bednarek, W.
A1  - Behera, B.
A1  - Beilicke, M.
A1  - Belluso, M.
A1  - Benallou, M.
A1  - Benbow, W.
A1  - Berdugo, J.
A1  - Berger, K.
A1  - Bernardino, T.
A1  - Bernlöhr, K.
A1  - Biland, A.
A1  - Billotta, S.
A1  - Bird, T.
A1  - Birsin, E.
A1  - Bissaldi, E.
A1  - Blake, S.
A1  - Blanch Bigas, O.
A1  - Bobkov, A. A.
A1  - Bogacz, L.
A1  - Bogdan, M.
A1  - Boisson, Catherine
A1  - Boix Gargallo, J.
A1  - Bolmont, J.
A1  - Bonanno, G.
A1  - Bonardi, A.
A1  - Bonev, T.
A1  - Borkowski, Janett
A1  - Botner, O.
A1  - Bottani, A.
A1  - Bourgeat, M.
A1  - Boutonnet, C.
A1  - Bouvier, A.
A1  - Brau-Nogue, S.
A1  - Braun, I.
A1  - Bretz, T.
A1  - Briggs, M. S.
A1  - Brun, Pierre
A1  - Brunetti, L.
A1  - Buckley, H.
A1  - Bugaev, V.
A1  - Buehler, R.
A1  - Bulik, Tomasz
A1  - Busetto, G.
A1  - Buson, S.
A1  - Byrum, K.
A1  - Cailles, M.
A1  - Cameron, R. A.
A1  - Canestrari, R.
A1  - Cantu, S.
A1  - Carmona, E.
A1  - Carosi, A.
A1  - Carr, John
A1  - Carton, P. H.
A1  - Casiraghi, M.
A1  - Castarede, H.
A1  - Catalano, O.
A1  - Cavazzani, S.
A1  - Cazaux, S.
A1  - Cerruti, B.
A1  - Cerruti, M.
A1  - Chadwick, M.
A1  - Chiang, J.
A1  - Chikawa, M.
A1  - Cieslar, M.
A1  - Ciesielska, M.
A1  - Cillis, A. N.
A1  - Clerc, C.
A1  - Colin, P.
A1  - Colome, J.
A1  - Compin, M.
A1  - Conconi, P.
A1  - Connaughton, V.
A1  - Conrad, Jan
A1  - Contreras, J. L.
A1  - Coppi, P.
A1  - Corlier, M.
A1  - Corona, P.
A1  - Corpace, O.
A1  - Corti, D.
A1  - Cortina, J.
A1  - Costantini, H.
A1  - Cotter, G.
A1  - Courty, B.
A1  - Couturier, S.
A1  - Covino, S.
A1  - Croston, J.
A1  - Cusumano, G.
A1  - Daniel, M. K.
A1  - Dazzi, F.
A1  - Deangelis, A.
A1  - de Cea del Pozo, E.
A1  - Dal Pino, E. M. de Gouveia
A1  - de Jager, O.
A1  - de la Calle Perez, I.
A1  - De La Vega, G.
A1  - De Lotto, B.
A1  - de Naurois, M.
A1  - Wilhelmi, E. de Ona
A1  - de Souza, V.
A1  - Decerprit, B.
A1  - Deil, C.
A1  - Delagnes, E.
A1  - Deleglise, G.
A1  - Delgado, C.
A1  - Dettlaff, T.
A1  - Di Paolo, A.
A1  - Di Pierro, F.
A1  - Diaz, C.
A1  - Dick, J.
A1  - Dickinson, H.
A1  - Digel, S. W.
A1  - Dimitrov, D.
A1  - Disset, G.
A1  - Djannati-Ataï, A.
A1  - Doert, M.
A1  - Domainko, W.
A1  - Dorner, D.
A1  - Doro, M.
A1  - Dournaux, J. -L.
A1  - Dravins, D.
A1  - Drury, L.
A1  - Dubois, F.
A1  - Dubois, R.
A1  - Dubus, G.
A1  - Dufour, C.
A1  - Durand, D.
A1  - Dyks, J.
A1  - Dyrda, M.
A1  - Edy, E.
A1  - Egberts, Kathrin
A1  - Eleftheriadis, C.
A1  - Elles, S.
A1  - Emmanoulopoulos, D.
A1  - Enomoto, R.
A1  - Ernenwein, J. -P.
A1  - Errando, M.
A1  - Etchegoyen, A.
A1  - Falcone, A. D.
A1  - Farakos, K.
A1  - Farnier, C.
A1  - Federici, S.
A1  - Feinstein, F.
A1  - Ferenc, D.
A1  - Fillin-Martino, E.
A1  - Fink, D.
A1  - Finley, C.
A1  - Finley, J. P.
A1  - Firpo, R.
A1  - Florin, D.
A1  - Foehr, C.
A1  - Fokitis, E.
A1  - Font, Ll.
A1  - Fontaine, G.
A1  - Fontana, A.
A1  - Foerster, A.
A1  - Fortson, L.
A1  - Fouque, N.
A1  - Fransson, C.
A1  - Fraser, G. W.
A1  - Fresnillo, L.
A1  - Fruck, C.
A1  - Fujita, Y.
A1  - Fukazawa, Y.
A1  - Funk, S.
A1  - Gaebele, W.
A1  - Gabici, S.
A1  - Gadola, A.
A1  - Galante, N.
A1  - Gallant, Y.
A1  - Garcia, B.
A1  - Garcia Lopez, R. J.
A1  - Garrido, D.
A1  - Garrido, L.
A1  - Gascon, D.
A1  - Gasq, C.
A1  - Gaug, M.
A1  - Gaweda, J.
A1  - Geffroy, N.
A1  - Ghag, C.
A1  - Ghedina, A.
A1  - Ghigo, M.
A1  - Gianakaki, E.
A1  - Giarrusso, S.
A1  - Giavitto, G.
A1  - Giebels, B.
A1  - Giro, E.
A1  - Giubilato, P.
A1  - Glanzman, T.
A1  - Glicenstein, J. -F.
A1  - Gochna, M.
A1  - Golev, V.
A1  - Gomez Berisso, M.
A1  - Gonzalez, A.
A1  - Gonzalez, F.
A1  - Granena, F.
A1  - Graciani, R.
A1  - Granot, J.
A1  - Gredig, R.
A1  - Green, A.
A1  - Greenshaw, T.
A1  - Grimm, O.
A1  - Grube, J.
A1  - Grudzinska, M.
A1  - Grygorczuk, J.
A1  - Guarino, V.
A1  - Guglielmi, L.
A1  - Guilloux, F.
A1  - Gunji, S.
A1  - Gyuk, G.
A1  - Hadasch, D.
A1  - Haefner, D.
A1  - Hagiwara, R.
A1  - Hahn, J.
A1  - Hallgren, A.
A1  - Hara, S.
A1  - Hardcastle, M. J.
A1  - Hassan, T.
A1  - Haubold, T.
A1  - Hauser, M.
A1  - Hayashida, M.
A1  - Heller, R.
A1  - Henri, G.
A1  - Hermann, G.
A1  - Herrero, A.
A1  - Hinton, James Anthony
A1  - Hoffmann, D.
A1  - Hofmann, W.
A1  - Hofverberg, P.
A1  - Horns, D.
A1  - Hrupec, D.
A1  - Huan, H.
A1  - Huber, B.
A1  - Huet, J. -M.
A1  - Hughes, G.
A1  - Hultquist, K.
A1  - Humensky, T. B.
A1  - Huppert, J. -F.
A1  - Ibarra, A.
A1  - Illa, J. M.
A1  - Ingjald, J.
A1  - Inoue, S.
A1  - Inoue, Y.
A1  - Ioka, K.
A1  - Jablonski, C.
A1  - Jacholkowska, A.
A1  - Janiak, M.
A1  - Jean, P.
A1  - Jensen, H.
A1  - Jogler, T.
A1  - Jung, I.
A1  - Kaaret, P.
A1  - Kabuki, S.
A1  - Kakuwa, J.
A1  - Kalkuhl, C.
A1  - Kankanyan, R.
A1  - Kapala, M.
A1  - Karastergiou, A.
A1  - Karczewski, M.
A1  - Karkar, S.
A1  - Karlsson, N.
A1  - Kasperek, J.
A1  - Katagiri, H.
A1  - Katarzynski, K.
A1  - Kawanaka, N.
A1  - Kedziora, B.
A1  - Kendziorra, E.
A1  - Khelifi, B.
A1  - Kieda, D.
A1  - Kifune, T.
A1  - Kihm, T.
A1  - Klepser, S.
A1  - Kluzniak, W.
A1  - Knapp, J.
A1  - Knappy, A. R.
A1  - Kneiske, T.
A1  - Knoedlseder, J.
A1  - Koeck, F.
A1  - Kodani, K.
A1  - Kohri, K.
A1  - Kokkotas, K.
A1  - Komin, N.
A1  - Konopelko, A.
A1  - Kosack, K.
A1  - Kossakowski, R.
A1  - Kostka, P.
A1  - Kotula, J.
A1  - Kowal, G.
A1  - Koziol, J.
A1  - Kraehenbuehl, T.
A1  - Krause, J.
A1  - Krawczynski, H.
A1  - Krennrich, F.
A1  - Kretzschmann, A.
A1  - Kubo, H.
A1  - Kudryavtsev, V. A.
A1  - Kushida, J.
A1  - La Barbera, N.
A1  - La Parola, V.
A1  - La Rosa, G.
A1  - Lopez, A.
A1  - Lamanna, G.
A1  - Laporte, P.
A1  - Lavalley, C.
A1  - Le Flour, T.
A1  - Le Padellec, A.
A1  - Lenain, J. -P.
A1  - Lessio, L.
A1  - Lieunard, B.
A1  - Lindfors, E.
A1  - Liolios, A.
A1  - Lohse, T.
A1  - Lombardi, S.
A1  - Lopatin, A.
A1  - Lorenz, E.
A1  - Lubinski, P.
A1  - Luz, O.
A1  - Lyard, E.
A1  - Maccarone, M. C.
A1  - Maccarone, T.
A1  - Maier, G.
A1  - Majumdar, P.
A1  - Maltezos, S.
A1  - Malkiewicz, P.
A1  - Mana, C.
A1  - Manalaysay, A.
A1  - Maneva, G.
A1  - Mangano, A.
A1  - Manigot, P.
A1  - Marin, J.
A1  - Mariotti, M.
A1  - Markoff, S.
A1  - Martinez, G.
A1  - Martinez, M.
A1  - Mastichiadis, A.
A1  - Matsumoto, H.
A1  - Mattiazzo, S.
A1  - Mazin, D.
A1  - McComb, T. J. L.
A1  - McCubbin, N.
A1  - McHardy, I.
A1  - Medina, C.
A1  - Melkumyan, D.
A1  - Mendes, A.
A1  - Mertsch, P.
A1  - Meucci, M.
A1  - Michalowski, J.
A1  - Micolon, P.
A1  - Mineo, T.
A1  - Mirabal, N.
A1  - Mirabel, F.
A1  - Miranda, J. M.
A1  - Mirzoyan, R.
A1  - Mizuno, T.
A1  - Moal, B.
A1  - Moderski, R.
A1  - Molinari, E.
A1  - Monteiro, I.
A1  - Moralejo, A.
A1  - Morello, C.
A1  - Mori, K.
A1  - Motta, G.
A1  - Mottez, F.
A1  - Moulin, Emmanuel
A1  - Mukherjee, R.
A1  - Munar, P.
A1  - Muraishi, H.
A1  - Murase, K.
A1  - Murphy, A. Stj.
A1  - Nagataki, S.
A1  - Naito, T.
A1  - Nakamori, T.
A1  - Nakayama, K.
A1  - Naumann, C. L.
A1  - Naumann, D.
A1  - Nayman, P.
A1  - Nedbal, D.
A1  - Niedzwiecki, A.
A1  - Niemiec, J.
A1  - Nikolaidis, A.
A1  - Nishijima, K.
A1  - Nolan, S. J.
A1  - Nowak, N.
A1  - O'Brien, P. T.
A1  - Ochoa, I.
A1  - Ohira, Y.
A1  - Ohishi, M.
A1  - Ohka, H.
A1  - Okumura, A.
A1  - Olivetto, C.
A1  - Ong, R. A.
A1  - Orito, R.
A1  - Orr, M.
A1  - Osborne, J. P.
A1  - Ostrowski, M.
A1  - Otero, L.
A1  - Otte, A. N.
A1  - Ovcharov, E.
A1  - Oya, I.
A1  - Ozieblo, A.
A1  - Paiano, S.
A1  - Pallota, J.
A1  - Panazol, J. L.
A1  - Paneque, D.
A1  - Panter, M.
A1  - Paoletti, R.
A1  - Papyan, G.
A1  - Paredes, J. M.
A1  - Pareschi, G.
A1  - Parsons, R. D.
A1  - Arribas, M. Paz
A1  - Pedaletti, G.
A1  - Pepato, A.
A1  - Persic, M.
A1  - Petrucci, P. O.
A1  - Peyaud, B.
A1  - Piechocki, W.
A1  - Pita, S.
A1  - Pivato, G.
A1  - Platos, L.
A1  - Platzer, R.
A1  - Pogosyan, L.
A1  - Pohl, Martin
A1  - Pojmanski, G.
A1  - Ponz, J. D.
A1  - Potter, W.
A1  - Prandini, E.
A1  - Preece, R.
A1  - Prokoph, H.
A1  - Puehlhofer, G.
A1  - Punch, M.
A1  - Quel, E.
A1  - Quirrenbach, A.
A1  - Rajda, P.
A1  - Rando, R.
A1  - Rataj, M.
A1  - Raue, M.
A1  - Reimann, C.
A1  - Reimann, O.
A1  - Reimer, A.
A1  - Reimer, O.
A1  - Renaud, M.
A1  - Renner, S.
A1  - Reymond, J. -M.
A1  - Rhode, W.
A1  - Ribo, M.
A1  - Ribordy, M.
A1  - Rico, J.
A1  - Rieger, F.
A1  - Ringegni, P.
A1  - Ripken, J.
A1  - Ristori, P.
A1  - Rivoire, S.
A1  - Rob, L.
A1  - Rodriguez, S.
A1  - Roeser, U.
A1  - Romano, Patrizia
A1  - Romero, G. E.
A1  - Rosier-Lees, S.
A1  - Rovero, A. C.
A1  - Roy, F.
A1  - Royer, S.
A1  - Rudak, B.
A1  - Rulten, C. B.
A1  - Ruppel, J.
A1  - Russo, F.
A1  - Ryde, F.
A1  - Sacco, B.
A1  - Saggion, A.
A1  - Sahakian, V.
A1  - Saito, K.
A1  - Saito, T.
A1  - Sakaki, N.
A1  - Salazar, E.
A1  - Salini, A.
A1  - Sanchez, F.
A1  - Sanchez Conde, M. A.
A1  - Santangelo, Andrea
A1  - Santos, E. M.
A1  - Sanuy, A.
A1  - Sapozhnikov, L.
A1  - Sarkar, S.
A1  - Scalzotto, V.
A1  - Scapin, V.
A1  - Scarcioffolo, M.
A1  - Schanz, T.
A1  - Schlenstedt, S.
A1  - Schlickeiser, R.
A1  - Schmidt, T.
A1  - Schmoll, J.
A1  - Schroedter, M.
A1  - Schultz, C.
A1  - Schultze, J.
A1  - Schulz, A.
A1  - Schwanke, U.
A1  - Schwarzburg, S.
A1  - Schweizer, T.
A1  - Seiradakis, J.
A1  - Selmane, S.
A1  - Seweryn, K.
A1  - Shayduk, M.
A1  - Shellard, R. C.
A1  - Shibata, T.
A1  - Sikora, M.
A1  - Silk, J.
A1  - Sillanpaa, A.
A1  - Sitarek, J.
A1  - Skole, C.
A1  - Smith, N.
A1  - Sobczynska, D.
A1  - Sofo Haro, M.
A1  - Sol, H.
A1  - Spanier, F.
A1  - Spiga, D.
A1  - Spyrou, S.
A1  - Stamatescu, V.
A1  - Stamerra, A.
A1  - Starling, R. L. C.
A1  - Stawarz, L.
A1  - Steenkamp, R.
A1  - Stegmann, Christian
A1  - Steiner, S.
A1  - Stergioulas, N.
A1  - Sternberger, R.
A1  - Stinzing, F.
A1  - Stodulski, M.
A1  - Straumann, U.
A1  - Suarez, A.
A1  - Suchenek, M.
A1  - Sugawara, R.
A1  - Sulanke, K. H.
A1  - Sun, S.
A1  - Supanitsky, A. D.
A1  - Sutcliffe, P.
A1  - Szanecki, M.
A1  - Szepieniec, T.
A1  - Szostek, A.
A1  - Szymkowiak, A.
A1  - Tagliaferri, G.
A1  - Tajima, H.
A1  - Takahashi, H.
A1  - Takahashi, K.
A1  - Takalo, L.
A1  - Takami, H.
A1  - Talbot, R. G.
A1  - Tam, P. H.
A1  - Tanaka, M.
A1  - Tanimori, T.
A1  - Tavani, M.
A1  - Tavernet, J. -P.
A1  - Tchernin, C.
A1  - Tejedor, L. A.
A1  - Telezhinsky, Igor O.
A1  - Temnikov, P.
A1  - Tenzer, C.
A1  - Terada, Y.
A1  - Terrier, R.
A1  - Teshima, M.
A1  - Testa, V.
A1  - Tibaldo, L.
A1  - Tibolla, O.
A1  - Tluczykont, M.
A1  - Peixoto, C. J. Todero
A1  - Tokanai, F.
A1  - Tokarz, M.
A1  - Toma, K.
A1  - Torres, D. F.
A1  - Tosti, G.
A1  - Totani, T.
A1  - Toussenel, F.
A1  - Vallania, P.
A1  - Vallejo, G.
A1  - van der Walt, J.
A1  - van Eldik, C.
A1  - Vandenbroucke, J.
A1  - Vankov, H.
A1  - Vasileiadis, G.
A1  - Vassiliev, V. V.
A1  - Vegas, I.
A1  - Venter, L.
A1  - Vercellone, S.
A1  - Veyssiere, C.
A1  - Vialle, J. P.
A1  - Videla, M.
A1  - Vincent, P.
A1  - Vink, J.
A1  - Vlahakis, N.
A1  - Vlahos, L.
A1  - Vogler, P.
A1  - Vollhardt, A.
A1  - Volpe, F.
A1  - Von Gunten, H. P.
A1  - Vorobiov, S.
A1  - Wagner, S.
A1  - Wagner, R. M.
A1  - Wagner, B.
A1  - Wakely, S. P.
A1  - Walter, P.
A1  - Walter, R.
A1  - Warwick, R.
A1  - Wawer, P.
A1  - Wawrzaszek, R.
A1  - Webb, N.
A1  - Wegner, P.
A1  - Weinstein, A.
A1  - Weitzel, Q.
A1  - Welsing, R.
A1  - Wetteskind, H.
A1  - White, R.
A1  - Wierzcholska, A.
A1  - Wilkinson, M. I.
A1  - Williams, D. A.
A1  - Winde, M.
A1  - Wischnewski, R.
A1  - Wisniewski, L.
A1  - Wolczko, A.
A1  - Wood, M.
A1  - Xiong, Q.
A1  - Yamamoto, T.
A1  - Yamaoka, K.
A1  - Yamazaki, R.
A1  - Yanagita, S.
A1  - Yoffo, B.
A1  - Yonetani, M.
A1  - Yoshida, A.
A1  - Yoshida, T.
A1  - Yoshikoshi, T.
A1  - Zabalza, V.
A1  - Zagdanski, A.
A1  - Zajczyk, A.
A1  - Zdziarski, A.
A1  - Zech, Alraune
A1  - Zietara, K.
A1  - Ziolkowski, P.
A1  - Zitelli, V.
A1  - Zychowski, P.
T1  - Design concepts for the Cherenkov Telescope Array CTA an advanced facility for ground-based high-energy gamma-ray astronomy
JF  - Experimental astronomy : an international journal on astronomical instrumentation and data analysis
N2  - Ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes. Ground-based gamma-ray astronomy has a huge potential in astrophysics, particle physics and cosmology. CTA is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100 GeV and above 100 TeV. CTA will consist of two arrays (one in the north, one in the south) for full sky coverage and will be operated as open observatory. The design of CTA is based on currently available technology. This document reports on the status and presents the major design concepts of CTA.
KW  - Ground based gamma ray astronomy
KW  - Next generation Cherenkov telescopes
KW  - Design concepts
Y1  - 2011
U6  - https://doi.org/10.1007/s10686-011-9247-0
SN  - 0922-6435
SN  - 1572-9508
VL  - 32
IS  - 3
SP  - 193
EP  - 316
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Khider, D.
A1  - Emile-Geay, J.
A1  - McKay, N. P.
A1  - Gil, Y.
A1  - Garijo, D.
A1  - Ratnakar, V
A1  - Alonso-Garcia, M.
A1  - Bertrand, S.
A1  - Bothe, O.
A1  - Brewer, P.
A1  - Bunn, A.
A1  - Chevalier, M.
A1  - Comas-Bru, L.
A1  - Csank, A.
A1  - Dassie, E.
A1  - DeLong, K.
A1  - Felis, T.
A1  - Francus, P.
A1  - Frappier, A.
A1  - Gray, W.
A1  - Goring, S.
A1  - Jonkers, L.
A1  - Kahle, M.
A1  - Kaufman, D.
A1  - Kehrwald, N. M.
A1  - Martrat, B.
A1  - McGregor, H.
A1  - Richey, J.
A1  - Schmittner, A.
A1  - Scroxton, N.
A1  - Sutherland, E.
A1  - Thirumalai, Kaustubh
A1  - Allen, K.
A1  - Arnaud, F.
A1  - Axford, Y.
A1  - Barrows, T.
A1  - Bazin, L.
A1  - Birch, S. E. Pilaar
A1  - Bradley, E.
A1  - Bregy, J.
A1  - Capron, E.
A1  - Cartapanis, O.
A1  - Chiang, H-W
A1  - Cobb, K. M.
A1  - Debret, M.
A1  - Dommain, Réne
A1  - Du, J.
A1  - Dyez, K.
A1  - Emerick, S.
A1  - Erb, M. P.
A1  - Falster, G.
A1  - Finsinger, W.
A1  - Fortier, D.
A1  - Gauthier, Nicolas
A1  - George, S.
A1  - Grimm, E.
A1  - Hertzberg, J.
A1  - Hibbert, F.
A1  - Hillman, A.
A1  - Hobbs, W.
A1  - Huber, M.
A1  - Hughes, A. L. C.
A1  - Jaccard, S.
A1  - Ruan, J.
A1  - Kienast, M.
A1  - Konecky, B.
A1  - Le Roux, G.
A1  - Lyubchich, V
A1  - Novello, V. F.
A1  - Olaka, L.
A1  - Partin, J. W.
A1  - Pearce, C.
A1  - Phipps, S. J.
A1  - Pignol, C.
A1  - Piotrowska, N.
A1  - Poli, M-S
A1  - Prokopenko, A.
A1  - Schwanck, F.
A1  - Stepanek, C.
A1  - Swann, G. E. A.
A1  - Telford, R.
A1  - Thomas, E.
A1  - Thomas, Z.
A1  - Truebe, S.
A1  - von Gunten, L.
A1  - Waite, A.
A1  - Weitzel, N.
A1  - Wilhelm, B.
A1  - Williams, J.
A1  - Winstrup, M.
A1  - Zhao, N.
A1  - Zhou, Y.
T1  - PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data
JF  - Paleoceanography and paleoclimatology
N2  - The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.
KW  - standards
KW  - FAIR
KW  - paleoclimate
KW  - paleoceanography
KW  - data
KW  - best practices
Y1  - 2019
U6  - https://doi.org/10.1029/2019PA003632
SN  - 2572-4517
SN  - 2572-4525
VL  - 34
IS  - 10
SP  - 1570
EP  - 1596
PB  - American Geophysical Union
CY  - Washington
ER  - 
TY  - JOUR
A1  - Grimm, Volker
A1  - Berger, Uta
A1  - Bastiansen, Finn
A1  - Eliassen, Sigrunn
A1  - Ginot, Vincent
A1  - Giske, Jarl
A1  - Goss-Custard, John
A1  - Grand, Tamara
A1  - Heinz, Simone K.
A1  - Huse, Geir
A1  - Huth, Andreas
A1  - Jepsen, Jane U.
A1  - Jorgensen, Christian
A1  - Mooij, Wolf M.
A1  - Mueller, Birgit
A1  - Piou, Cyril
A1  - Railsback, Steven Floyd
A1  - Robbins, Andrew M.
A1  - Robbins, Martha M.
A1  - Rossmanith, Eva
A1  - Rueger, Nadja
A1  - Strand, Espen
A1  - Souissi, Sami
A1  - Stillman, Richard A.
A1  - Vabo, Rune
A1  - Visser, Ute
A1  - DeAngelis, Donald L.
T1  - A standard protocol for describing individual-based and agent-based models
JF  - Ecological modelling : international journal on ecological modelling and engineering and systems ecolog
N2  - Simulation models that describe autonomous individual organisms (individual based models, IBM) or agents (agent-based models, ABM) have become a widely used tool, not only in ecology, but also in many other disciplines dealing with complex systems made up of autonomous entities. However, there is no standard protocol for describing such simulation models, which can make them difficult to understand and to duplicate. This paper presents a proposed standard protocol, ODD, for describing IBMs and ABMs, developed and tested by 28 modellers who cover a wide range of fields within ecology. This protocol consists of three blocks (Overview, Design concepts, and Details), which are subdivided into seven elements: Purpose, State variables and scales, Process overview and scheduling, Design concepts, Initialization, Input, and Submodels. We explain which aspects of a model should be described in each element, and we present an example to illustrate the protocol in use. In addition, 19 examples are available in an Online Appendix. We consider ODD as a first step for establishing a more detailed common format of the description of IBMs and ABMs. Once initiated, the protocol will hopefully evolve as it becomes used by a sufficiently large proportion of modellers. (c) 2006 Elsevier B.V. All rights reserved.
KW  - individual-based model
KW  - agent-based model
KW  - model description
KW  - scientific communication
KW  - standardization
Y1  - 2006
U6  - https://doi.org/10.1016/j.ecolmodel.2006.04.023
SN  - 0304-3800
VL  - 198
SP  - 115
EP  - 126
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Muller, K. R.
A1  - Ratsch, G.
A1  - Sonnenburg, S.
A1  - Mika, Sebastian
A1  - Grimm, M.
A1  - Heinrich, N.
T1  - Classifying 'drug-likeness' with kernel-based learning methods
N2  - In this article we report about a successful application of modern machine learning technology, namely Support Vector Machines, to the problem of assessing the 'drug-likeness' of a chemical from a given set of descriptors of the Substance. We were able to drastically improve the recent result by Byvatov et al. (2003) on this task and achieved an error rate of about 7% on unseen compounds using Support Vector Machines. We see a very high potential of such machine learning techniques for a variety of computational chemistry problems that occur in the drug discovery and drug design process
Y1  - 2005
SN  - 1549-9596
ER  - 
TY  - JOUR
A1  - Sibly, Richard M.
A1  - Grimm, Volker
A1  - Martin, Benjamin T.
A1  - Johnston, Alice S. A.
A1  - Kulakowska, Katarzyna
A1  - Topping, Christopher J.
A1  - Calow, Peter
A1  - Nabe-Nielsen, Jacob
A1  - Thorbek, Pernille
A1  - DeAngelis, Donald L.
T1  - Representing the acquisition and use of energy by individuals in agent-based models of animal populations
JF  - Methods in ecology and evolution : an official journal of the British Ecological Society
N2  - Agent-based models (ABMs) are widely used to predict how populations respond to changing environments. As the availability of food varies in space and time, individuals should have their own energy budgets, but there is no consensus as to how these should be modelled. Here, we use knowledge of physiological ecology to identify major issues confronting the modeller and to make recommendations about how energy budgets for use in ABMs should be constructed. Our proposal is that modelled animals forage as necessary to supply their energy needs for maintenance, growth and reproduction. If there is sufficient energy intake, an animal allocates the energy obtained in the order: maintenance, growth, reproduction, energy storage, until its energy stores reach an optimal level. If there is a shortfall, the priorities for maintenance and growth/reproduction remain the same until reserves fall to a critical threshold below which all are allocated to maintenance. Rates of ingestion and allocation depend on body mass and temperature. We make suggestions for how each of these processes should be modelled mathematically. Mortality rates vary with body mass and temperature according to known relationships, and these can be used to obtain estimates of background mortality rate. If parameter values cannot be obtained directly, then values may provisionally be obtained by parameter borrowing, pattern-oriented modelling, artificial evolution or from allometric equations. The development of ABMs incorporating individual energy budgets is essential for realistic modelling of populations affected by food availability. Such ABMs are already being used to guide conservation planning of nature reserves and shell fisheries, to assess environmental impacts of building proposals including wind farms and highways and to assess the effects on nontarget organisms of chemicals for the control of agricultural pests.
KW  - bioenergetics
KW  - energy budget
KW  - individual-based models
KW  - population dynamics
Y1  - 2013
U6  - https://doi.org/10.1111/2041-210x.12002
SN  - 2041-210X
VL  - 4
IS  - 2
SP  - 151
EP  - 161
PB  - Wiley-Blackwell
CY  - Hoboken
ER  - 
TY  - INPR
A1  - Kreft, Jan-Ulrich
A1  - Plugge, Caroline M.
A1  - Grimm, Volker
A1  - Prats, Clara
A1  - Leveau, Johan H. J.
A1  - Banitz, Thomas
A1  - Baines, Stephen
A1  - Clark, James
A1  - Ros, Alexandra
A1  - Klapper, Isaac
A1  - Topping, Chris J.
A1  - Field, Anthony J.
A1  - Schuler, Andrew
A1  - Litchman, Elena
A1  - Hellweger, Ferdi L.
T1  - Mighty small - observing and modeling individual microbes becomes big science
T2  - Proceedings of the National Academy of Sciences of the United States of America
Y1  - 2013
U6  - https://doi.org/10.1073/pnas.1317472110
SN  - 0027-8424
VL  - 110
IS  - 45
SP  - 18027
EP  - 18028
PB  - National Acad. of Sciences
CY  - Washington
ER  - 
TY  - JOUR
A1  - Grimm, Volker
A1  - Revilla, Eloy
A1  - Berger, Uta
A1  - Jeltsch, Florian
A1  - Mooij, Wolf M.
A1  - Railsback, Steven Floyd
A1  - Thulke, Hans-Hermann
A1  - Weiner, Jacob
A1  - Wiegand, Thorsten
A1  - DeAngelis, Donald L.
T1  - Pattern-oriented modeling of agend-based complex systems : lessons from ecology
N2  - Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity
Y1  - 2005
ER  - 
TY  - JOUR
A1  - Martin, Benjamin T.
A1  - Jager, Tjalling
A1  - Nisbet, Roger M.
A1  - Preuss, Thomas G.
A1  - Hammers-Wirtz, Monika
A1  - Grimm, Volker
T1  - Extrapolating ecotoxicological effects from individuals to populations -  a generic approach based on Dynamic Energy Budget theory and individual-based modeling
JF  - Ecotoxicology
N2  - Individual-based models (IBMs) predict how dynamics at higher levels of biological organization emerge from individual-level processes. This makes them a particularly useful tool for ecotoxicology, where the effects of toxicants are measured at the individual level but protection goals are often aimed at the population level or higher. However, one drawback of IBMs is that they require significant effort and data to design for each species. A solution would be to develop IBMs for chemical risk assessment that are based on generic individual-level models and theory. Here we show how one generic theory, Dynamic Energy Budget (DEB) theory, can be used to extrapolate the effect of toxicants measured at the individual level to effects on population dynamics. DEB is based on first principles in bioenergetics and uses a common model structure to model all species. Parameterization for a certain species is done at the individual level and allows to predict population-level effects of toxicants for a wide range of environmental conditions and toxicant concentrations. We present the general approach, which in principle can be used for all animal species, and give an example using Daphnia magna exposed to 3,4-dichloroaniline. We conclude that our generic approach holds great potential for standardized ecological risk assessment based on ecological models. Currently, available data from standard tests can directly be used for parameterization under certain circumstances, but with limited extra effort standard tests at the individual would deliver data that could considerably improve the applicability and precision of extrapolation to the population level. Specifically, the measurement of a toxicant's effect on growth in addition to reproduction, and presenting data over time as opposed to reporting a single EC50 or dose response curve at one time point.
KW  - Population
KW  - Dynamic Energy Budget
KW  - Individual-based model
KW  - Sub-lethal effects
KW  - Physiological mode of action
KW  - Effect model
Y1  - 2013
U6  - https://doi.org/10.1007/s10646-013-1049-x
SN  - 0963-9292
VL  - 22
IS  - 3
SP  - 574
EP  - 583
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Martin, Benjamin T.
A1  - Jager, Tjalling
A1  - Nisbet, Roger M.
A1  - Preuss, Thomas G.
A1  - Grimm, Volker
T1  - Predicting population dynamics from the properties of individuals - a cross-level test of dynamic energy budget theory
JF  - The American naturalist : a bi-monthly journal devoted to the advancement and correlation of the biological sciences
N2  - Individual-based models (IBMs) are increasingly used to link the dynamics of individuals to higher levels of biological organization. Still, many IBMs are data hungry, species specific, and time-consuming to develop and analyze. Many of these issues would be resolved by using general theories of individual dynamics as the basis for IBMs. While such theories have frequently been examined at the individual level, few cross-level tests exist that also try to predict population dynamics. Here we performed a cross-level test of dynamic energy budget (DEB) theory by parameterizing an individual-based model using individual-level data of the water flea, Daphnia magna, and comparing the emerging population dynamics to independent data from population experiments. We found that DEB theory successfully predicted population growth rates and peak densities but failed to capture the decline phase. Further assumptions on food-dependent mortality of juveniles were needed to capture the population dynamics after the initial population peak. The resulting model then predicted, without further calibration, characteristic switches between small-and large-amplitude cycles, which have been observed for Daphnia. We conclude that cross-level tests help detect gaps in current individual-level theories and ultimately will lead to theory development and the establishment of a generic basis for individual-based models and ecology.
KW  - population dynamics
KW  - dynamic energy budget theory
KW  - bioenergetics
KW  - individual-based model
Y1  - 2013
U6  - https://doi.org/10.1086/669904
SN  - 0003-0147
VL  - 181
IS  - 4
SP  - 506
EP  - 519
PB  - Univ. of Chicago Press
CY  - Chicago
ER  - 
TY  - JOUR
A1  - Martin, Benjamin
A1  - Jager, Tjalling
A1  - Nisbet, Roger M.
A1  - Preuss, Thomas G.
A1  - Grimm, Volker
T1  - Limitations of extrapolating toxic effects on reproduction to the population level
JF  - Ecological applications : a publication of the Ecological Society of America
N2  - For the ecological risk assessment of toxic chemicals, standardized tests on individuals are often used as proxies for population-level effects. Here, we address the utility of one commonly used metric, reproductive output, as a proxy for population-level effects. Because reproduction integrates the outcome of many interacting processes (e.g., feeding, growth, allocation of energy to reproduction), the observed toxic effects in a reproduction test could be due to stress on one of many processes. Although this makes reproduction a robust endpoint for detecting stress, it may mask important population-level consequences if the different physiological processes stress affects are associated with different feedback mechanisms at the population level. We therefore evaluated how an observed reduction in reproduction found in a standard reproduction test translates to effects at the population level if it is caused by hypothetical toxicants affecting different physiological processes (physiological modes of action; PMoA). For this we used two consumer-resource models: the Yodzis-Innes (YI) model, which is mathematically tractable, but requires strong assumptions of energetic equivalence among individuals as they progress through ontogeny, and an individual-based implementation of dynamic energy budget theory (DEB-IBM), which relaxes these assumptions at the expense of tractability. We identified two important feedback mechanisms controlling the link between individual- and population-level stress in the YI model. These mechanisms turned out to also be important for interpreting some of the individual-based model results; for two PMoAs, they determined the population response to stress in both models. In contrast, others stress types involved more complex feedbacks, because they asymmetrically stressed the production efficiency of reproduction and somatic growth. The feedbacks associated with different PMoAs drastically altered the link between individual- and population-level effects. For example, hypothetical stressors with different PMoAs that had equal effects on reproduction had effects ranging from a negligible decline in biomass to population extinction. Thus, reproduction tests alone are of little use for extrapolating toxicity to the population level, but we showed that the ecological relevance of standard tests could easily be improved if growth is measured along with reproduction.
KW  - Daphnia
KW  - dynamic energy budget
KW  - ecological risk assessment
KW  - ecotoxicology
KW  - ontogenetic symmetry
KW  - physiological mode of action
KW  - PMoA
KW  - population dynamics
KW  - reproduction test
KW  - Yodzis-Innes
Y1  - 2014
U6  - https://doi.org/10.1890/14-0656.1
SN  - 1051-0761
SN  - 1939-5582
VL  - 24
IS  - 8
SP  - 1972
EP  - 1983
PB  - Wiley
CY  - Washington
ER  - 
TY  - JOUR
A1  - Liu, Chun
A1  - Sibly, Richard M.
A1  - Grimm, Volker
A1  - Thorbek, Pernille
T1  - Linking pesticide exposure and spatial dynamics an individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes
JF  - Ecological modelling : international journal on ecological modelling and engineering and systems ecolog
N2  - The wood mouse is a common and abundant species in agricultural landscape and is a focal species in pesticide risk assessment. Empirical studies on the ecology of the wood mouse have provided sufficient information for the species to be modelled mechanistically. An individual-based model was constructed to explicitly represent the locations and movement patterns of individual mice. This together with the schedule of pesticide application allows prediction of the risk to the population from pesticide exposure. The model included life-history traits of wood mice as well as typical landscape dynamics in agricultural farmland in the UK. The model obtains a good fit to the available population data and is fit for risk assessment purposes. It can help identify spatio-temporal situations with the largest potential risk of exposure and enables extrapolation from individual-level endpoints to population-level effects. Largest risk of exposure to pesticides was found when good crop growth in the "sink" fields coincided with high "source" population densities in the hedgerows.
KW  - Population dynamics
KW  - Pesticides
KW  - Ecological risk assessment
KW  - Habitat choice
KW  - Agent-based model
KW  - NetLogo
Y1  - 2013
U6  - https://doi.org/10.1016/j.ecolmodel.2012.09.016
SN  - 0304-3800
VL  - 248
IS  - 2
SP  - 92
EP  - 102
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Radchuk, Viktoriia
A1  - De Laender, Frederik
A1  - Cabral, Juliano Sarmento
A1  - Boulangeat, Isabelle
A1  - Crawford, Michael Scott
A1  - Bohn, Friedrich
A1  - De Raedt, Jonathan
A1  - Scherer, Cedric
A1  - Svenning, Jens-Christian
A1  - Thonicke, Kirsten
A1  - Schurr, Frank M.
A1  - Grimm, Volker
A1  - Kramer-Schadt, Stephanie
T1  - The dimensionality of stability depends on disturbance type
JF  - Ecology letters
N2  - Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.
KW  - Community model
KW  - disturbance intensity
KW  - disturbance type
KW  - extinction
KW  - individual-based model
KW  - invariability
KW  - persistence
KW  - recovery
KW  - resistance
Y1  - 2019
U6  - https://doi.org/10.1111/ele.13226
SN  - 1461-023X
SN  - 1461-0248
VL  - 22
IS  - 4
SP  - 674
EP  - 684
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Grimm, Volker
A1  - Augusiak, Jacqueline
A1  - Focks, Andreas
A1  - Frank, Beatrice M.
A1  - Gabsi, Faten
A1  - Johnston, Alice S. A.
A1  - Liu, Chun
A1  - Martin, Benjamin T.
A1  - Meli, Mattia
A1  - Radchuk, Viktoriia
A1  - Thorbek, Pernille
A1  - Railsback, Steven Floyd
T1  - Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE
JF  - Ecological modelling : international journal on ecological modelling and engineering and systems ecolog
N2  - The potential of ecological models for supporting environmental decision making is increasingly acknowledged. However, it often remains unclear whether a model is realistic and reliable enough. Good practice for developing and testing ecological models has not yet been established. Therefore, TRACE, a general framework for documenting a model's rationale, design, and testing was recently suggested. Originally TRACE was aimed at documenting good modelling practice. However, the word 'documentation' does not convey TRACE's urgency. Therefore, we re-define TRACE as a tool for planning, performing, and documenting good modelling practice. TRACE documents should provide convincing evidence that a model was thoughtfully designed, correctly implemented, thoroughly tested, well understood, and appropriately used for its intended purpose. TRACE documents link the science underlying a model to its application, thereby also linking modellers and model users, for example stakeholders, decision makers, and developers of policies. We report on first experiences in producing TRACE documents. We found that the original idea underlying TRACE was valid, but to make its use more coherent and efficient, an update of its structure and more specific guidance for its use are needed. The updated TRACE format follows the recently developed framework of model 'evaludation': the entire process of establishing model quality and credibility throughout all stages of model development, analysis, and application. TRACE thus becomes a tool for planning, documenting, and assessing model evaludation, which includes understanding the rationale behind a model and its envisaged use. We introduce the new structure and revised terminology of TRACE and provide examples. (C) 2014 Elsevier B.V. All rights reserved.
KW  - Standardization
KW  - Good modelling practice
KW  - Risk assessment
KW  - Decision support
Y1  - 2014
U6  - https://doi.org/10.1016/j.ecolmodel.2014.01.018
SN  - 0304-3800
SN  - 1872-7026
VL  - 280
SP  - 129
EP  - 139
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - GEN
A1  - Weise, Hanna
A1  - Auge, Harald
A1  - Baessler, Cornelia
A1  - Bärlund, Ilona
A1  - Bennett, Elena M.
A1  - Berger, Uta
A1  - Bohn, Friedrich
A1  - Bonn, Aletta
A1  - Borchardt, Dietrich
A1  - Brand, Fridolin
A1  - Jeltsch, Florian
A1  - Joshi, Jasmin Radha
A1  - Grimm, Volker
T1  - Resilience trinity
BT  - Safeguarding ecosystem functioning and services across three different time horizons and decision contexts
T2  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Ensuring ecosystem resilience is an intuitive approach to safeguard the functioning of ecosystems and hence the future provisioning of ecosystem services (ES). However, resilience is a multi-faceted concept that is difficult to operationalize. Focusing on resilience mechanisms, such as diversity, network architectures or adaptive capacity, has recently been suggested as means to operationalize resilience. Still, the focus on mechanisms is not specific enough. We suggest a conceptual framework, resilience trinity, to facilitate management based on resilience mechanisms in three distinctive decision contexts and time-horizons: 1) reactive, when there is an imminent threat to ES resilience and a high pressure to act, 2) adjustive, when the threat is known in general but there is still time to adapt management and 3) provident, when time horizons are very long and the nature of the threats is uncertain, leading to a low willingness to act. Resilience has different interpretations and implications at these different time horizons, which also prevail in different disciplines. Social ecology, ecology and engineering are often implicitly focussing on provident, adjustive or reactive resilience, respectively, but these different notions of resilience and their corresponding social, ecological and economic tradeoffs need to be reconciled. Otherwise, we keep risking unintended consequences of reactive actions, or shying away from provident action because of uncertainties that cannot be reduced. The suggested trinity of time horizons and their decision contexts could help ensuring that longer-term management actions are not missed while urgent threats to ES are given priority.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1444 
KW  - concepts
KW  - ecosystems
KW  - ecosystem services provisioning
KW  - management
KW  - resilience
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-515284
SN  - 1866-8372
IS  - 4
ER  - 
TY  - JOUR
A1  - Jeltsch, Florian
A1  - Blaum, Niels
A1  - Brose, Ulrich
A1  - Chipperfield, Joseph D.
A1  - Clough, Yann
A1  - Farwig, Nina
A1  - Geissler, Katja
A1  - Graham, Catherine H.
A1  - Grimm, Volker
A1  - Hickler, Thomas
A1  - Huth, Andreas
A1  - May, Felix
A1  - Meyer, Katrin M.
A1  - Pagel, Jörn
A1  - Reineking, Björn
A1  - Rillig, Matthias C.
A1  - Shea, Katriona
A1  - Schurr, Frank Martin
A1  - Schroeder, Boris
A1  - Tielbörger, Katja
A1  - Weiss, Lina
A1  - Wiegand, Kerstin
A1  - Wiegand, Thorsten
A1  - Wirth, Christian
A1  - Zurell, Damaris
T1  - How can we bring together empiricists and modellers in functional biodiversity research?
JF  - Basic and applied ecology : Journal of the Gesellschaft für Ökologie
N2  - Improving our understanding of biodiversity and ecosystem functioning and our capacity to inform ecosystem management requires an integrated framework for functional biodiversity research (FBR). However, adequate integration among empirical approaches (monitoring and experimental) and modelling has rarely been achieved in FBR. We offer an appraisal of the issues involved and chart a course towards enhanced integration. A major element of this path is the joint orientation towards the continuous refinement of a theoretical framework for FBR that links theory testing and generalization with applied research oriented towards the conservation of biodiversity and ecosystem functioning. We further emphasize existing decision-making frameworks as suitable instruments to practically merge these different aims of FBR and bring them into application. This integrated framework requires joint research planning, and should improve communication and stimulate collaboration between modellers and empiricists, thereby overcoming existing reservations and prejudices. The implementation of this integrative research agenda for FBR requires an adaptation in most national and international funding schemes in order to accommodate such joint teams and their more complex structures and data needs.
KW  - Biodiversity theory
KW  - Biodiversity experiments
KW  - Conservation management
KW  - Decision-making
KW  - Ecosystem functions and services
KW  - Forecasting
KW  - Functional traits
KW  - Global change
KW  - Monitoring programmes
KW  - Interdisciplinarity
Y1  - 2013
U6  - https://doi.org/10.1016/j.baae.2013.01.001
SN  - 1439-1791
VL  - 14
IS  - 2
SP  - 93
EP  - 101
PB  - Elsevier
CY  - Jena
ER  - 
TY  - JOUR
A1  - Weise, Hanna
A1  - Auge, Harald
A1  - Baessler, Cornelia
A1  - Bärlund, Ilona
A1  - Bennett, Elena M.
A1  - Berger, Uta
A1  - Bohn, Friedrich
A1  - Bonn, Aletta
A1  - Borchardt, Dietrich
A1  - Brand, Fridolin
A1  - Jeltsch, Florian
A1  - Joshi, Jasmin Radha
A1  - Grimm, Volker
T1  - Resilience trinity
BT  - safeguarding ecosystem functioning and services across three different time horizons and decision contexts
JF  - Oikos
N2  - Ensuring ecosystem resilience is an intuitive approach to safeguard the functioning of ecosystems and hence the future provisioning of ecosystem services (ES). However, resilience is a multi-faceted concept that is difficult to operationalize. Focusing on resilience mechanisms, such as diversity, network architectures or adaptive capacity, has recently been suggested as means to operationalize resilience. Still, the focus on mechanisms is not specific enough. We suggest a conceptual framework, resilience trinity, to facilitate management based on resilience mechanisms in three distinctive decision contexts and time-horizons: 1) reactive, when there is an imminent threat to ES resilience and a high pressure to act, 2) adjustive, when the threat is known in general but there is still time to adapt management and 3) provident, when time horizons are very long and the nature of the threats is uncertain, leading to a low willingness to act. Resilience has different interpretations and implications at these different time horizons, which also prevail in different disciplines. Social ecology, ecology and engineering are often implicitly focussing on provident, adjustive or reactive resilience, respectively, but these different notions of resilience and their corresponding social, ecological and economic tradeoffs need to be reconciled. Otherwise, we keep risking unintended consequences of reactive actions, or shying away from provident action because of uncertainties that cannot be reduced. The suggested trinity of time horizons and their decision contexts could help ensuring that longer-term management actions are not missed while urgent threats to ES are given priority.
KW  - concepts
KW  - ecosystems
KW  - ecosystem services provisioning
KW  - management
KW  - resilience
Y1  - 2020
U6  - https://doi.org/10.1111/oik.07213
SN  - 0030-1299
SN  - 1600-0706
VL  - 129
IS  - 4
SP  - 445
EP  - 456
PB  - Wiley-Blackwell
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Schröder, Astrid
A1  - Grimm, Angela
A1  - Schulz, Petra
A1  - Heide, Judith
A1  - Frank, Ulrike
A1  - Wahl, Michael
A1  - Lampe, Leonie
A1  - Fieder, Nora
A1  - Krajenbrink, Trudy
A1  - Nickels, Lyndsey
A1  - Bykova, Ksenia
A1  - Wilzek, Alexa
A1  - van den Engl-Hoek, Lenie
A1  - Huckabee, Maggie-Lee
A1  - Balzer, Julia
A1  - Ebert, Susanne
A1  - Kaps, Hella
A1  - Matteschk, Maria
A1  - Tzschöckel, Katharina Andrea
A1  - Dressel, Katharina
A1  - Kröger, Bernd J.
A1  - Diwoky, Laura Cassandra
A1  - Breitenstein, Sarah
A1  - Bruno, Giulia
A1  - Lassotta, Romy
A1  - Adani, Flavia
A1  - Ferchland, Lisa
A1  - Baatz, Charlotte
A1  - Netzebandt, Jonka
A1  - Heyde, Cornelia J.
A1  - Cleland, Joanne
A1  - Scobbie, James M.
A1  - Roxburgh, Zoe
A1  - Schmidt, Jessica
ED  - Adelt, Anne
ED  - Yetim, Özlem
ED  - Otto, Constanze
ED  - Fritzsche, Tom
T1  - Spektrum Patholinguistik Band 10. Schwerpunktthema: Panorama Patholinguistik: Sprachwissenschaft trifft Sprachtherapie
N2  - Das 10. Herbsttreffen Patholinguistik mit dem Schwerpunktthema »Panorama Patholinguistik: Sprachwissenschaft trifft Sprachtherapie« fand am 19.11.2016 in Potsdam statt. Das Herbsttreffen wird seit 2007 jährlich vom Verband für Patholinguistik e.V. (vpl) durchgeführt. Der vorliegende Tagungsband beinhaltet die vier Hauptvorträge zum Schwerpunktthema sowie Beiträge zu den Kurzvorträgen »Patholinguistik im Fokus« und der Posterpräsentationen zu weiteren Themen aus der sprachtherapeutischen Forschung und Praxis.
N2  - The Tenth Autumn Meeting Patholinguistics (Herbsttreffen Patholinguistik) with its main topic »Panorama Patholinguistics: Linguistics meets speech/language therapy« took place in Potsdam on November 19 2016. This annual meeting has been organised since 2007 by the Association for Patholinguistics (Verband für Patholinguistik e.V./vpl). The present proceedings contain the four keynote talks on the main topic as well as contributions from the short talks in the section »Patholinguistics in Focus« and from the poster session covering a broad range of areas in speech/language therapy research and practice.
T3  - Spektrum Patholinguistik - 10 
KW  - Patholinguistik
KW  - Sprachtherapie
KW  - Spracherwerb
KW  - Aphasie
KW  - Schluckstörungen
KW  - Lese-Rechtschreibschwierigkeiten
KW  - patholinguistics
KW  - speech/language therapy
KW  - language acquisition
KW  - ahasia
KW  - dysphagia
KW  - dyslexia
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-397019
SN  - 978-3-86956-404-3
SN  - 1866-9085
SN  - 1866-9433
IS  - 10
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  -