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Your search keyword '"Svenning, J. -C."' showing total 17 results
Start Over Author "Svenning, J. -C." Publisher wiley
17 results on '"Svenning, J. -C."'

1. Potential sources of time lags in calibrating species distribution models

Author

Essl, F., García-Rodríguez, A., Lenzner, B., Alexander, J.M., Capinha, C., Gaüzère, P., Guisan, A., Kühn, Ingolf, Lenoir, J., Richardson, D.M., Rumpf, S.B., Svenning, J.-C., Thuiller, W., Zurell, D., Dullinger, S., Essl, F., García-Rodríguez, A., Lenzner, B., Alexander, J.M., Capinha, C., Gaüzère, P., Guisan, A., Kühn, Ingolf, Lenoir, J., Richardson, D.M., Rumpf, S.B., Svenning, J.-C., Thuiller, W., Zurell, D., and Dullinger, S.

Abstract

The Anthropocene is characterized by a rapid pace of environmental change and is causing a multitude of biotic responses, including those that affect the spatial distribution of species. Lagged responses are frequent and species distributions and assemblages are consequently pushed into a disequilibrium state. How the characteristics of environmental change—for example, gradual ‘press’ disturbances such as rising temperatures due to climate change versus infrequent ‘pulse’ disturbances such as extreme events—affect the magnitude of responses and the relaxation times of biota has been insufficiently explored. It is also not well understood how widely used approaches to assess or project the responses of species to changing environmental conditions can deal with time lags. It, therefore, remains unclear to what extent time lags in species distributions are accounted for in biodiversity assessments, scenarios and models; this has ramifications for policymaking and conservation science alike. This perspective piece reflects on lagged species responses to environmental change and discusses the potential consequences for species distribution models (SDMs), the tools of choice in biodiversity modelling. We suggest ways to better account for time lags in calibrating these models and to reduce their leverage effects in projections for improved biodiversity science and policy.

Published
2023

2. Savviness of prey to introduced predators.

Author

Wallach, AD, Ramp, D, Benítez-López, A, Wooster, EIF, Carroll, S, Carthey, AJR, Rogers, EIE, Middleton, O, Zawada, KJA, Svenning, J-C, Avidor, E, Lundgren, E, Wallach, AD, Ramp, D, Benítez-López, A, Wooster, EIF, Carroll, S, Carthey, AJR, Rogers, EIE, Middleton, O, Zawada, KJA, Svenning, J-C, Avidor, E, and Lundgren, E

Abstract

The prey naivety hypothesis posits that prey are vulnerable to introduced predators because many generations in slow gradual coevolution are needed for appropriate avoidance responses to develop. It predicts that prey will be more responsive to native than introduced predators and less responsive to introduced predators that differ substantially from native predators and from those newly established. To test these predictions, we conducted a global meta-analysis of studies that measured the wariness responses of small mammals to the scent of sympatric mammalian mesopredators. We identified 26 studies that met our selection criteria. These studies comprised 134 experiments reporting on the responses of 36 small mammal species to the scent of six introduced mesopredators and 12 native mesopredators. For each introduced mesopredator, we measured their phylogenetic and functional distance to local native mesopredators and the number of years sympatric with their prey. We used predator and prey body mass as a measure of predation risk. Globally, small mammals were similarly wary of the scent of native and introduced mesopredators; phylogenetic and functional distance between introduced mesopredators and closest native mesopredators had no effect on wariness; and wariness was unrelated to the number of prey generations, or years, since first contact with introduced mesopredators. Small mammal wariness was associated with predator-prey body mass ratio, regardless of the nativity. The one thing animals do not seem to recognize is whether their predators are native.

Published
2023

3. TRY plant trait database - enhanced coverage and open access

Author

Kattge, J., Bonisch, G., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., Acosta, A. T. R., Ciccarelli, D., Fontana, V., Roberts, S., Robroek, B., Roddy, A., Marchetti, Z., Rodrigues, A. V., Bekker, R., Honnay, O., Chapin, F. S., Bauters, M., Amiaud, B., Rogers, A., Rollinson, E., Rolo, V., Romermann, C., Ronzhina, D., Amoroso, M. M., Marchino, L., Coll, L., Roscher, C., Cherubini, P., Kloeppel, B., Rosell, J. A., Rosenfield, M. F., Kraft, N. J. B., Hornstein, D., Rossi, C., Roy, D. B., Belfry, G., Royer-Tardif, S., Marcilio-Silva, V., Pakeman, R. J., Ruger, N., Ma, S. Y., Ruiz-Peinado, R., Forey, E., Rumpf, S. B., Collins, C. G., Kramer, K., Rusch, G. M., Hou, E. Q., Ryo, M., Papageorgiou, A. C., Sack, L., Falster, D. S., Ammer, C., Saldana, A., Salgado-Negret, B., Salguero-Gomez, R., Belluau, M., Santa-Regina, I., Forgiarini, C., Bahalkeh, K., Parfionova, E., Santacruz-Garcia, A. C., Santos, J., Asmara, D. H., Morrison, J., Marcon, E., Conti, L., Sardans, J., Schamp, B., Scherer-Lorenzen, M., Schleuning, M., Koike, F., Schmid, B., Schmidt, M., Kreft, H., Schmitt, S., Mucina, L., Francois, L., Marignani, M., Beloiu, M., Ejtehadi, H., Schneider, J. V., Partel, M., Schowanek, S. D., Coomes, D., Schrader, J., Schrodt, F., Schuldt, B., Mueller, S., Kuhn, I., Schurr, F., Kitzberger, T., Garvizu, G. S., Patacca, M., Semchenko, M., Frangipani, M., Hough-Snee, N., Seymour, C., Sfair, J. C., Benavides, R., Muir, C. D., Sharpe, J. M., Albert, C. H., Kumarathunge, D., Finegan, B., Cailleret, M., Sheppard, C. S., Sheremetiev, S., Shiodera, S., Shipley, B., Shovon, T. A., Adamidis, G. C., Muller, S. C., Frank, D., Siebenkas, A., Baldocchi, D., Sierra, C., Silva, V., Markesteijn, L., Kuppler, J., Silva, M., Benomar, L., Cornelissen, J. H. C., Sitzia, T., Baruch, Z., Sjoman, H., Moravcova, L., Slot, M., Hovstad, K. A., Smith, N. G., Frenette-Dussault, C., Martin, A., Sodhi, D., Kurokawa, H., Soltis, P., Soltis, D., Heuertz, M., Camac, J., Somers, B., Sonnier, G., Sorensen, M. V., Cornwell, W. K., Berdugo-Lattke, M. L., Ichie, T., Cavender-Bares, J., Sosinski, E. E., Soudzilovskaia, N. A., Carbognani, M., Paula, S., Munoz, F., Freschet, G. T., Souza, A. F., Spasojevic, M., Sperandii, M. G., Stan, A. B., Stegen, J., Steinbauer, K., Baltzer, J., Stephan, J. G., Paule, J., Igic, B., Myers-Smith, I. H., Corona, P., Hattingh, W., Sterck, F., Berenguer, E., Fry, E. L., Stojanovic, D. B., Strydom, T., Suarez, M. L., Pauli, H., Martinez-Garza, C., Svenning, J. C., Pereira, C. M. R., Svitkova, I., Svitok, M., Illa, E., Kurosawa, Y., Svoboda, M., Swaine, E., Coyea, M., Pausas, J. G., Swenson, N., Byun, C., Martinez-Vilalta, J., Esquivel-Muelbert, A., Tabarelli, M., Bergamin, R., Takagi, K., Tappeiner, U., Tarifa, R., Burrascano, S., Peco, B., Isaac, M., Tauugourdeau, S., Tavsanoglu, C., te Beest, M., Myster, R. W., Maskova, T., Tedersoo, L., Craine, J., Fyllas, N. M., Thiffault, N., Chianucci, F., Thom, D., Thomas, E., Kuyah, S., Bergmann, J., Ishihara, M., Nagano, M., Thompson, K., Mason, K., Thornton, P. E., Thuiller, W., Kollmann, J., Tichy, L., Tissue, D., Tjoelker, M. G., Mazzochini, G. G., Craven, D., Laclau, J. P., Feng, Y. H., Tng, D. Y. P., Tobias, J., Fan, Y., Bazzato, E., Ivanov, L., Torok, P., Tarin, T., Carlucci, M. B., Torres-Ruiz, J. M., Tothmeresz, B., Treurnicht, M., Chelli, S., Trivellone, V., Lafleur, B., Penuelas, J., Anand, M., Kjoller, R., Trolliet, F., Cromsigt, J. P. G. M., Ivanova, L., Trotsiuk, V., Tsakalos, J. L., Tsiripidis, I., Naidu, S., Tysklind, N., Barneche, D. R., Umehara, T., Berner, L., Lallai, E., Mason, N., Usoltsev, V. A., Vadeboncoeur, M., Gachet, S., Vaezi, J., Elser, J., Narayanan, A., Helm, A., Valladares, F., Csecserits, A., Vamosi, J., van Bodegom, P. M., van Breugel, M., E-Vojtko, A., Bahn, M., Van Cleemput, E., van de Weg, M., van der Merwe, S., Perea, A., Natesan, B., Bernhardt-Romermann, M., Gallagher, R., Iversen, C. M., van der Plas, F., van der Sande, M. T., van Kleunen, M., Massad, T. J., Cufar, K., Lamb, E., Peri, P. L., Van Meerbeek, K., Negoita, L., Vanderwel, M., Vanselow, K. A., Varhammar, A., Varone, L., Valderrama, M. Y., Asner, G. P., Ganade, G., Masse, J., Hipp, A. L., Vassilev, K., Bigler, C., Hickler, T., Lamprecht, A., Vellend, M., Veneklaas, E. J., Cuntz, M., Verbeeck, H., Verheyen, K., Vibrans, A., Firn, J., Vieira, I., Mayrose, I., Camarero, J. J., Mack, M., Villacis, J., Ganga, F., Larkin, D. J., Violle, C., Vivek, P., Wagner, K., Petisco-Souza, A. C., Bjorkman, A. D., Waldram, M., Alcantara, J. M., McCarthy, J., Nelson, A. S., Waldron, A., Walker, A. P., Izquierdo, J., Waller, M., Hawes, J. E., Petraglia, A., Walther, G., Garcia-Palacios, P., Wang, H., Wang, F., Wang, W. Q., Han, W. X., Cerabolini, B. E. L., Watkins, H., Watkins, J., Blackman, C., Petritan, A. M., da Silva, A. C., Jackson, R. B., Laughlin, D., Weber, U., Weedon, J. T., Wei, L. P., Neuschulz, E. L., Gargaglione, V., McCormack, M. L., Weigelt, P., Phillips, O. L., Weiher, E., Wells, A. W., Wellstein, C., Wenk, E., Westoby, M., Carvalho, F., Jackson, B., Bastianelli, D., Westwood, A., Dahlin, K. M., Komac, B., Banerjee, A., Blanco, C., White, P. J., Garnier, E., Whitten, M., Williams, M., Winkler, D. E., Winter, K., Ni, J., Esser, G., Moreno-Martinez, A., Womack, C., Jactel, H., McCulloh, K., Wright, I. J., Wright, S. J., Wright, J., Dainese, M., Pinho, B. X., Marques, M., Niedrist, G., Pierce, S., Blonder, B., Ximenes, F., Le Bagousse-Pinguet, Y., Yamada, T., Klein, T., Yamaji, K., Jagodzinski, A. M., Yanai, R., Yankov, N., Yguel, B., Kitajima, K, Fernandez-Mendez, F., Zanini, K. J., Zanne, A. E., Dalke, I., Garrido, J. L., le Maire, G., McFadden, I. R., Zeleny, D., Zhao, Y. P., Blumenthal, D., Pillar, V. D., Jandt, U., Nieto, J., Zheng, J. M., Zheng, J., Zieminska, K., Zirbel, C. R., Zizka, G., Zo-Bi, I. C., Fang, J. Y., le Roux, P. C., Choat, B., Zotz, G., de Gasper, A. L., Chen, S. C., Dalle Fratte, M., Wirth, C., Jansen, S., Bocanegra-Gonzalez, K. T., Boeckx, P., Bohlman, S., Bohning-Gaese, K., Pisek, J., Hempel, S., Boisvert-Marsh, L., le Roux, E., Niinemets, U., Bond, W., Bond-Lamberty, B., Boom, A., Gea-Izquierdo, G., Boonman, C. C. F., Emilio, T., Beckmann, M., Anh, T. D. L., Bordin, K., McGill, B. J., Boughton, E. H., Maire, V., Boukili, V., Lee, T., Bowman, D. M. J. S., Bravo, S., Brendel, M. R., Hirons, A., Broadley, M. R., Brown, K. A., Anderson, C., Jenkins, T., McPartland, M. Y., Nolan, R., Bruelheide, H., Brumnich, F., Danihelka, J., Lens, F., Pomogaybin, A., Bruun, H. H., Bruy, D., Buchanan, S. W., Bucher, S. F., Buchmann, N., Buitenwerf, R., Ashman, T. L., Medeiros, J. S., Bunker, D. E., Jentsch, A., Flowers, T. J., Gibson, D., Burger, J., Baker, T., Dannoura, M., Dawson, S., de Beer, A. J., Alcazar, C. C., Baastrup-Spohr, L., De Frutos, A., Medlyn, B., Poorter, H., De Long, J. R., Dechant, B., Delagrange, S., Jespersen, J. R. P., Delpierre, N, He, T. H., Gillison, A. N., Derroire, G., Nottebrock, H., Dias, A. S., Moretti, M., Diaz-Toribio, M. H., Meerts, P., Dimitrakopoulos, P. G., Dobrowolski, M., Aleixo, I., Doktor, D., Drevojan, P., Campany, C., Lewis, S. L., Nouvellon, Y., Portsmuth, A., Dong, N., Dransfield, J., Giroldo, A., Mehrabi, Z., Dressler, S., Duarte, L., Ducouret, E., Dullinger, S., Durka, W., Duursma, R., Canullo, R., Novakovskiy, A., Ali, H., Lhotsky, B., Aspinwall, M., Dymova, O., Cervellini, M., Glasenhardt, M. C., Gleason, S., Gliesch, M., Scalon, M. C., Catford, J. A., Goldberg, E., Nystuen, K. O., Goldel, B., Gonzalez-Akre, E., Gonzalez-Andujar, J. L., Li, Y. Z., Anten, N., Kleyer, M., Jiang, G. F., Gonzalez-Melo, A., Poschlod, P., Gonzalez-Robles, A., Graae, B. J., O'Grady, A., Granda, E., Graves, S., Caccianiga, M., Green, W. A., Gregor, T., Estiarte, M., Meir, P., Potvin, C., Gross, N., Guerin, G. R., Johansen, J. L., Battles, J., Gunther, A., Antos, J., Gutierrez, A. G., Haddock, L, Haines, A., Hall, J., Pounds, D., Cadotte, M., Melo, F. P. L., Casanoves, F., Hambuckers, A., Ferrara, C., Johnson, D., Jokela, E. J., Joly, C. A., Engemann, K., Jordan, G. J., Powell, A. S., Joseph, G. S., Junaedi, D., Junker, R. R., Baranger, A., Campetella, G., Makela, A., Li, X. E., Justes, E., Atkin, O., Kabzems, R., Power, S. A., Kane, J., Kaplan, Z., Erfanian, M. B., Kattenborn, T., Kavelenova, L., Hentschel, J., O'Hara, K., Kearsley, E., Kempel, A., Lichstein, J. W., Chung, K. S., Kenzo, T., Campos, J. A., Kerkhoff, A., Khalil, M. I., Aubin, I., Kinlock, N. L., Erfmeier, A., O'Reilly-Nugent, A., Farris, E., Kissling, W. D., Hock, M., Liebergesell, M., Lim, J. Y., Lin, Y. S., Apgaua, D. M. G., Linares, J. C., Liu, C. J., Baker, W. J., Liu, D. J., Chen, A. P., Domingues, T. F., Mori, A. S., Mencuccini, M., Liu, U., Castagneyrol, B., Livingstone, S., Llusia, J., Lohbeck, M., He, P. C., Lopez-Garcia, A., Lopez-Gonzalez, G., Klotz, S., Prinzing, A., Lososova, Z., Louault, F., Meredieu, C., Lukacs, B. A., Fagan, W. F., Bakker, J. P., Lukes, P., Adamson, K., Luo, Y. J., Heberling, J. M., Puglielli, G., Hietz, P., Lussu, M., Messier, J., Meszaros, I., Metsaranta, J., Cano-Arboleda, L., Michaletz, S. T., Michelaki, C., Chacon-Madrigal, E., Migalina, S., Flynn, D. F. B, Herault, B., Oakley, S., Milla, R., Fazlioglu, F., Miller, J. E. D., Barlow, J., Minden, V., Klimesova, J., Ming, R., Mokany, K., Mallik, A., Moles, A. T., Molnar, V. A., Oberhuber, W., Molofsky, J., Heres, A. M., Chapin, K., Molz, M., Burslem, D. F. R. P., Montgomery, R. A., Klipel, J., Komatsu, K., Monty, A., Ohtsuka, T., Oliveira, R., Ollerer, K., Fagundez, J., Olson, M. E., Onipchenko, V., Ferreira, J., Onoda, Y., Knops, J. M. H., Beeckman, H., Bauerle, W., Higuchi, P., Onstein, R. E., Aiba, M., Ordonez, J. C., Makinen, H., Osada, N., Ostonen, I., Ottaviani, G., Otto, S., Pysek, P., Overbeck, G. E., Kohyama, T., Fidelis, A., Ozinga, W. A., Eckstein, R. L., Pahl, A. T., Malhado, A. C. M., Paine, C. E. T., Raevel, V., Rammig, A., Ransijn, J., Herz, K., Ray, C. A., Reich, P. B., Hogan, J. A., Reichstein, M., Manning, P., Chytry, M., Konig, C., Reid, D. E. B., Butterfield, B. J., Rejou-Mechain, M., Mori, S., de Dios, V. R., Beierkuhnlein, C., Ribeiro, S, Richardson, S, Riibak, K., Manzoni, S., Holl, K., Rillig, M. C., Harrison, S. P., Riviera, F., Morris, D., Robert, E. M. R., Kattge, J., Bonisch, G., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., Acosta, A. T. R., Ciccarelli, D., Fontana, V., Roberts, S., Robroek, B., Roddy, A., Marchetti, Z., Rodrigues, A. V., Bekker, R., Honnay, O., Chapin, F. S., Bauters, M., Amiaud, B., Rogers, A., Rollinson, E., Rolo, V., Romermann, C., Ronzhina, D., Amoroso, M. M., Marchino, L., Coll, L., Roscher, C., Cherubini, P., Kloeppel, B., Rosell, J. A., Rosenfield, M. F., Kraft, N. J. B., Hornstein, D., Rossi, C., Roy, D. B., Belfry, G., Royer-Tardif, S., Marcilio-Silva, V., Pakeman, R. J., Ruger, N., Ma, S. Y., Ruiz-Peinado, R., Forey, E., Rumpf, S. B., Collins, C. G., Kramer, K., Rusch, G. M., Hou, E. Q., Ryo, M., Papageorgiou, A. C., Sack, L., Falster, D. S., Ammer, C., Saldana, A., Salgado-Negret, B., Salguero-Gomez, R., Belluau, M., Santa-Regina, I., Forgiarini, C., Bahalkeh, K., Parfionova, E., Santacruz-Garcia, A. C., Santos, J., Asmara, D. H., Morrison, J., Marcon, E., Conti, L., Sardans, J., Schamp, B., Scherer-Lorenzen, M., Schleuning, M., Koike, F., Schmid, B., Schmidt, M., Kreft, H., Schmitt, S., Mucina, L., Francois, L., Marignani, M., Beloiu, M., Ejtehadi, H., Schneider, J. V., Partel, M., Schowanek, S. D., Coomes, D., Schrader, J., Schrodt, F., Schuldt, B., Mueller, S., Kuhn, I., Schurr, F., Kitzberger, T., Garvizu, G. S., Patacca, M., Semchenko, M., Frangipani, M., Hough-Snee, N., Seymour, C., Sfair, J. C., Benavides, R., Muir, C. D., Sharpe, J. M., Albert, C. H., Kumarathunge, D., Finegan, B., Cailleret, M., Sheppard, C. S., Sheremetiev, S., Shiodera, S., Shipley, B., Shovon, T. A., Adamidis, G. C., Muller, S. C., Frank, D., Siebenkas, A., Baldocchi, D., Sierra, C., Silva, V., Markesteijn, L., Kuppler, J., Silva, M., Benomar, L., Cornelissen, J. H. C., Sitzia, T., Baruch, Z., Sjoman, H., Moravcova, L., Slot, M., Hovstad, K. A., Smith, N. G., Frenette-Dussault, C., Martin, A., Sodhi, D., Kurokawa, H., Soltis, P., Soltis, D., Heuertz, M., Camac, J., Somers, B., Sonnier, G., Sorensen, M. V., Cornwell, W. K., Berdugo-Lattke, M. L., Ichie, T., Cavender-Bares, J., Sosinski, E. E., Soudzilovskaia, N. A., Carbognani, M., Paula, S., Munoz, F., Freschet, G. T., Souza, A. F., Spasojevic, M., Sperandii, M. G., Stan, A. B., Stegen, J., Steinbauer, K., Baltzer, J., Stephan, J. G., Paule, J., Igic, B., Myers-Smith, I. H., Corona, P., Hattingh, W., Sterck, F., Berenguer, E., Fry, E. L., Stojanovic, D. B., Strydom, T., Suarez, M. L., Pauli, H., Martinez-Garza, C., Svenning, J. C., Pereira, C. M. R., Svitkova, I., Svitok, M., Illa, E., Kurosawa, Y., Svoboda, M., Swaine, E., Coyea, M., Pausas, J. G., Swenson, N., Byun, C., Martinez-Vilalta, J., Esquivel-Muelbert, A., Tabarelli, M., Bergamin, R., Takagi, K., Tappeiner, U., Tarifa, R., Burrascano, S., Peco, B., Isaac, M., Tauugourdeau, S., Tavsanoglu, C., te Beest, M., Myster, R. W., Maskova, T., Tedersoo, L., Craine, J., Fyllas, N. M., Thiffault, N., Chianucci, F., Thom, D., Thomas, E., Kuyah, S., Bergmann, J., Ishihara, M., Nagano, M., Thompson, K., Mason, K., Thornton, P. E., Thuiller, W., Kollmann, J., Tichy, L., Tissue, D., Tjoelker, M. G., Mazzochini, G. G., Craven, D., Laclau, J. P., Feng, Y. H., Tng, D. Y. P., Tobias, J., Fan, Y., Bazzato, E., Ivanov, L., Torok, P., Tarin, T., Carlucci, M. B., Torres-Ruiz, J. M., Tothmeresz, B., Treurnicht, M., Chelli, S., Trivellone, V., Lafleur, B., Penuelas, J., Anand, M., Kjoller, R., Trolliet, F., Cromsigt, J. P. G. M., Ivanova, L., Trotsiuk, V., Tsakalos, J. L., Tsiripidis, I., Naidu, S., Tysklind, N., Barneche, D. R., Umehara, T., Berner, L., Lallai, E., Mason, N., Usoltsev, V. A., Vadeboncoeur, M., Gachet, S., Vaezi, J., Elser, J., Narayanan, A., Helm, A., Valladares, F., Csecserits, A., Vamosi, J., van Bodegom, P. M., van Breugel, M., E-Vojtko, A., Bahn, M., Van Cleemput, E., van de Weg, M., van der Merwe, S., Perea, A., Natesan, B., Bernhardt-Romermann, M., Gallagher, R., Iversen, C. M., van der Plas, F., van der Sande, M. T., van Kleunen, M., Massad, T. J., Cufar, K., Lamb, E., Peri, P. L., Van Meerbeek, K., Negoita, L., Vanderwel, M., Vanselow, K. A., Varhammar, A., Varone, L., Valderrama, M. Y., Asner, G. P., Ganade, G., Masse, J., Hipp, A. L., Vassilev, K., Bigler, C., Hickler, T., Lamprecht, A., Vellend, M., Veneklaas, E. J., Cuntz, M., Verbeeck, H., Verheyen, K., Vibrans, A., Firn, J., Vieira, I., Mayrose, I., Camarero, J. J., Mack, M., Villacis, J., Ganga, F., Larkin, D. J., Violle, C., Vivek, P., Wagner, K., Petisco-Souza, A. C., Bjorkman, A. D., Waldram, M., Alcantara, J. M., McCarthy, J., Nelson, A. S., Waldron, A., Walker, A. P., Izquierdo, J., Waller, M., Hawes, J. E., Petraglia, A., Walther, G., Garcia-Palacios, P., Wang, H., Wang, F., Wang, W. Q., Han, W. X., Cerabolini, B. E. L., Watkins, H., Watkins, J., Blackman, C., Petritan, A. M., da Silva, A. C., Jackson, R. B., Laughlin, D., Weber, U., Weedon, J. T., Wei, L. P., Neuschulz, E. L., Gargaglione, V., McCormack, M. L., Weigelt, P., Phillips, O. L., Weiher, E., Wells, A. W., Wellstein, C., Wenk, E., Westoby, M., Carvalho, F., Jackson, B., Bastianelli, D., Westwood, A., Dahlin, K. M., Komac, B., Banerjee, A., Blanco, C., White, P. J., Garnier, E., Whitten, M., Williams, M., Winkler, D. E., Winter, K., Ni, J., Esser, G., Moreno-Martinez, A., Womack, C., Jactel, H., McCulloh, K., Wright, I. J., Wright, S. J., Wright, J., Dainese, M., Pinho, B. X., Marques, M., Niedrist, G., Pierce, S., Blonder, B., Ximenes, F., Le Bagousse-Pinguet, Y., Yamada, T., Klein, T., Yamaji, K., Jagodzinski, A. M., Yanai, R., Yankov, N., Yguel, B., Kitajima, K, Fernandez-Mendez, F., Zanini, K. J., Zanne, A. E., Dalke, I., Garrido, J. L., le Maire, G., McFadden, I. R., Zeleny, D., Zhao, Y. P., Blumenthal, D., Pillar, V. D., Jandt, U., Nieto, J., Zheng, J. M., Zheng, J., Zieminska, K., Zirbel, C. R., Zizka, G., Zo-Bi, I. C., Fang, J. Y., le Roux, P. C., Choat, B., Zotz, G., de Gasper, A. L., Chen, S. C., Dalle Fratte, M., Wirth, C., Jansen, S., Bocanegra-Gonzalez, K. T., Boeckx, P., Bohlman, S., Bohning-Gaese, K., Pisek, J., Hempel, S., Boisvert-Marsh, L., le Roux, E., Niinemets, U., Bond, W., Bond-Lamberty, B., Boom, A., Gea-Izquierdo, G., Boonman, C. C. F., Emilio, T., Beckmann, M., Anh, T. D. L., Bordin, K., McGill, B. J., Boughton, E. H., Maire, V., Boukili, V., Lee, T., Bowman, D. M. J. S., Bravo, S., Brendel, M. R., Hirons, A., Broadley, M. R., Brown, K. A., Anderson, C., Jenkins, T., McPartland, M. Y., Nolan, R., Bruelheide, H., Brumnich, F., Danihelka, J., Lens, F., Pomogaybin, A., Bruun, H. H., Bruy, D., Buchanan, S. W., Bucher, S. F., Buchmann, N., Buitenwerf, R., Ashman, T. L., Medeiros, J. S., Bunker, D. E., Jentsch, A., Flowers, T. J., Gibson, D., Burger, J., Baker, T., Dannoura, M., Dawson, S., de Beer, A. J., Alcazar, C. C., Baastrup-Spohr, L., De Frutos, A., Medlyn, B., Poorter, H., De Long, J. R., Dechant, B., Delagrange, S., Jespersen, J. R. P., Delpierre, N, He, T. H., Gillison, A. N., Derroire, G., Nottebrock, H., Dias, A. S., Moretti, M., Diaz-Toribio, M. H., Meerts, P., Dimitrakopoulos, P. G., Dobrowolski, M., Aleixo, I., Doktor, D., Drevojan, P., Campany, C., Lewis, S. L., Nouvellon, Y., Portsmuth, A., Dong, N., Dransfield, J., Giroldo, A., Mehrabi, Z., Dressler, S., Duarte, L., Ducouret, E., Dullinger, S., Durka, W., Duursma, R., Canullo, R., Novakovskiy, A., Ali, H., Lhotsky, B., Aspinwall, M., Dymova, O., Cervellini, M., Glasenhardt, M. C., Gleason, S., Gliesch, M., Scalon, M. C., Catford, J. A., Goldberg, E., Nystuen, K. O., Goldel, B., Gonzalez-Akre, E., Gonzalez-Andujar, J. L., Li, Y. Z., Anten, N., Kleyer, M., Jiang, G. F., Gonzalez-Melo, A., Poschlod, P., Gonzalez-Robles, A., Graae, B. J., O'Grady, A., Granda, E., Graves, S., Caccianiga, M., Green, W. A., Gregor, T., Estiarte, M., Meir, P., Potvin, C., Gross, N., Guerin, G. R., Johansen, J. L., Battles, J., Gunther, A., Antos, J., Gutierrez, A. G., Haddock, L, Haines, A., Hall, J., Pounds, D., Cadotte, M., Melo, F. P. L., Casanoves, F., Hambuckers, A., Ferrara, C., Johnson, D., Jokela, E. J., Joly, C. A., Engemann, K., Jordan, G. J., Powell, A. S., Joseph, G. S., Junaedi, D., Junker, R. R., Baranger, A., Campetella, G., Makela, A., Li, X. E., Justes, E., Atkin, O., Kabzems, R., Power, S. A., Kane, J., Kaplan, Z., Erfanian, M. B., Kattenborn, T., Kavelenova, L., Hentschel, J., O'Hara, K., Kearsley, E., Kempel, A., Lichstein, J. W., Chung, K. S., Kenzo, T., Campos, J. A., Kerkhoff, A., Khalil, M. I., Aubin, I., Kinlock, N. L., Erfmeier, A., O'Reilly-Nugent, A., Farris, E., Kissling, W. D., Hock, M., Liebergesell, M., Lim, J. Y., Lin, Y. S., Apgaua, D. M. G., Linares, J. C., Liu, C. J., Baker, W. J., Liu, D. J., Chen, A. P., Domingues, T. F., Mori, A. S., Mencuccini, M., Liu, U., Castagneyrol, B., Livingstone, S., Llusia, J., Lohbeck, M., He, P. C., Lopez-Garcia, A., Lopez-Gonzalez, G., Klotz, S., Prinzing, A., Lososova, Z., Louault, F., Meredieu, C., Lukacs, B. A., Fagan, W. F., Bakker, J. P., Lukes, P., Adamson, K., Luo, Y. J., Heberling, J. M., Puglielli, G., Hietz, P., Lussu, M., Messier, J., Meszaros, I., Metsaranta, J., Cano-Arboleda, L., Michaletz, S. T., Michelaki, C., Chacon-Madrigal, E., Migalina, S., Flynn, D. F. B, Herault, B., Oakley, S., Milla, R., Fazlioglu, F., Miller, J. E. D., Barlow, J., Minden, V., Klimesova, J., Ming, R., Mokany, K., Mallik, A., Moles, A. T., Molnar, V. A., Oberhuber, W., Molofsky, J., Heres, A. M., Chapin, K., Molz, M., Burslem, D. F. R. P., Montgomery, R. A., Klipel, J., Komatsu, K., Monty, A., Ohtsuka, T., Oliveira, R., Ollerer, K., Fagundez, J., Olson, M. E., Onipchenko, V., Ferreira, J., Onoda, Y., Knops, J. M. H., Beeckman, H., Bauerle, W., Higuchi, P., Onstein, R. E., Aiba, M., Ordonez, J. C., Makinen, H., Osada, N., Ostonen, I., Ottaviani, G., Otto, S., Pysek, P., Overbeck, G. E., Kohyama, T., Fidelis, A., Ozinga, W. A., Eckstein, R. L., Pahl, A. T., Malhado, A. C. M., Paine, C. E. T., Raevel, V., Rammig, A., Ransijn, J., Herz, K., Ray, C. A., Reich, P. B., Hogan, J. A., Reichstein, M., Manning, P., Chytry, M., Konig, C., Reid, D. E. B., Butterfield, B. J., Rejou-Mechain, M., Mori, S., de Dios, V. R., Beierkuhnlein, C., Ribeiro, S, Richardson, S, Riibak, K., Manzoni, S., Holl, K., Rillig, M. C., Harrison, S. P., Riviera, F., Morris, D., and Robert, E. M. R.

Abstract

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

Published
2020

4. The dimensionality of stability depends on disturbance type

Author

Radchuk, V., De Laender, F., Cabral, J.S., Boulangeat, I., Crawford, M., Bohn, Friedrich, De Raedt, J., Scherer, C., Svenning, J.-C., Thonicke, K., Schurr, F.M., Grimm, Volker, Kramer‐Schadt, S., Radchuk, V., De Laender, F., Cabral, J.S., Boulangeat, I., Crawford, M., Bohn, Friedrich, De Raedt, J., Scherer, C., Svenning, J.-C., Thonicke, K., Schurr, F.M., Grimm, Volker, and Kramer‐Schadt, S.

Abstract

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.

Published
2019

5. Recent global changes have decoupled species richness from specialization patterns in North American birds

Author

Mimet, Anne, Buitenwerf, R., Sandel, B., Svenning, J.-C., Normand, S., Mimet, Anne, Buitenwerf, R., Sandel, B., Svenning, J.-C., and Normand, S.

Abstract

AimTheory suggests that increasing productivity and climate stability towards the tropics favours specialization, thus contributing to the latitudinal richness gradient. A positive relationship between species richness and specialization should therefore emerge as a fundamental biogeographical pattern. However, land‐use and climate changes disproportionally increase the local extirpation risk for specialists, potentially weakening the relationship between richness and specialization. Here, we quantify empirically the richness–specialization prediction and test how 50 years of climate and land‐use change has affected the richness–specialization relationship. LocationUSA. Time period1966–2015. Major taxa studiedBirds. MethodsWe used the North American Breeding Bird Survey to quantify bird community richness and specialization to habitat and climate. We (a) quantify temporal change in the slope of the richness–specialization relationship, using a generalized mixed model; (b) assess how this change translates spatially, using generalized additive models; and (c) attribute spatio‐temporal change in the richness–specialization relationship to land use, climate and topographic drivers. ResultsWe found evidence for a positive but weak richness–specialization relationship in bird communities that greatly weakened over time. Given that specialization was not the main driver of richness, this relationship did not translate spatially into a linear spatial covariation between richness and specialization. Instead, the spatial covariation in richness and specialization followed a unimodal pattern, the peak of which shifted towards less specialized communities over time. These temporal changes were associated with precipitation change, decreasing temperature stability and land use. Main conclusionsRecent climate and land‐use changes have induced two contrasting types of community responses. In human‐dominated areas, the decoupling of richness and specialization drove a gen

Published
2019

8. Delineating probabilistic species pools in ecology and biogeography

Author

Karger, D.N., Cord, Anna, Kessler, M., Kreft, H., Kühn, Ingolf, Pompe, Sven, Sandel, B., Cabral, J.S., Smith, A.B., Svenning, J.-C., Tuomisto, H., Weigelt, P., Wesche, K., Karger, D.N., Cord, Anna, Kessler, M., Kreft, H., Kühn, Ingolf, Pompe, Sven, Sandel, B., Cabral, J.S., Smith, A.B., Svenning, J.-C., Tuomisto, H., Weigelt, P., and Wesche, K.

Abstract

AimTo provide a mechanistic and probabilistic framework for defining the species pool based on species-specific probabilities of dispersal, environmental suitability and biotic interactions within a specific temporal extent, and to show how probabilistic species pools can help disentangle the geographical structure of different community assembly processes.InnovationProbabilistic species pools provide an improved species pool definition based on probabilities in conjunction with the associated species list, which explicitly recognize the indeterminate nature of species pool membership for a given focal unit of interest and better capture real-world complexity. Probabilistic species pools provide a quantitative assessment of how dispersal, environmental or biotic factors influence estimates of species pool composition and size for a given temporal extent.ConclusionsBased on one simulated and two empirical examples we demonstrate that probabilistic species pools allow us to disentangle the geographical variation in dispersal, environmental and biotic assembly processes for species assemblages in focal units. We also show that probabilistic species pools are fully compatible with traditional definitions of species pools and are applicable over a wide range of spatial and temporal extents. Additionally they are robust to missing data and provide a quantified and transparent approach to estimating the size and composition of species pools in a mechanistic way, providing a valuable tool for studies from community ecology to macroecology.

Published
2016

9. A plant growth form dataset for the New World

Author

Engemann, K., primary, Sandel, B., additional, Boyle, B., additional, Enquist, B. J., additional, Jørgensen, P. M., additional, Kattge, J., additional, McGill, B. J., additional, Morueta-Holme, N., additional, Peet, R. K., additional, Spencer, N. J., additional, Violle, C., additional, Wiser, S. K., additional, and Svenning, J.-C., additional

Published
2016
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13. The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling

Author

Wisz, M.S., Pottier, J., Kissling, W.D., Pellissier, L., Lenoir, J., Damgaard, C.F., Dormann, Carsten, Forchhammer, M.C., Grytnes, J.-A., Guisan, A., Heikkinen, R.K., Høye, T.T., Kühn, Ingolf, Luoto, M., Maiorano, L., Nilsson, M.-C., Normand, S., Öckinger, E., Schmidt, N.M., Termansen, M., Timmermann, A., Wardle, D.A., Aastrup, P., Svenning, J.-C., Wisz, M.S., Pottier, J., Kissling, W.D., Pellissier, L., Lenoir, J., Damgaard, C.F., Dormann, Carsten, Forchhammer, M.C., Grytnes, J.-A., Guisan, A., Heikkinen, R.K., Høye, T.T., Kühn, Ingolf, Luoto, M., Maiorano, L., Nilsson, M.-C., Normand, S., Öckinger, E., Schmidt, N.M., Termansen, M., Timmermann, A., Wardle, D.A., Aastrup, P., and Svenning, J.-C.

Abstract

Predicting which species will occur together in the future, and where, remains one of the greatest challenges in ecology, and requires a sound understanding of how the abiotic and biotic environments interact with dispersal processes and history across scales. Biotic interactions and their dynamics influence species' relationships to climate, and this also has important implications for predicting future distributions of species. It is already well accepted that biotic interactions shape species' spatial distributions at local spatial extents, but the role of these interactions beyond local extents (e.g. 10 km2 to global extents) are usually dismissed as unimportant. In this review we consolidate evidence for how biotic interactions shape species distributions beyond local extents and review methods for integrating biotic interactions into species distribution modelling tools. Drawing upon evidence from contemporary and palaeoecological studies of individual species ranges, functional groups, and species richness patterns, we show that biotic interactions have clearly left their mark on species distributions and realised assemblages of species across all spatial extents. We demonstrate this with examples from within and across trophic groups. A range of species distribution modelling tools is available to quantify species environmental relationships and predict species occurrence, such as: (i) integrating pairwise dependencies, (ii) using integrative predictors, and (iii) hybridising species distribution models (SDMs) with dynamic models. These methods have typically only been applied to interacting pairs of species at a single time, require a priori ecological knowledge about which species interact, and due to data paucity must assume that biotic interactions are constant in space and time. To better inform the future development of these models across spatial scales, we call for accelerated collection of spatially and temporally explicit species data. Ideally, the

Published
2013

14. Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents

Author

Kissling, W.D., Dormann, Carsten, Groeneveld, Jürgen, Hickler, T., Kühn, Ingolf, McInerny, G.J., Montoya, J.M., Römermann, C., Schiffers, K., Schurr, F.M., Singer, Alexander, Svenning, J.-C., Zimmermann, N.E., O'Hara, R.B., Kissling, W.D., Dormann, Carsten, Groeneveld, Jürgen, Hickler, T., Kühn, Ingolf, McInerny, G.J., Montoya, J.M., Römermann, C., Schiffers, K., Schurr, F.M., Singer, Alexander, Svenning, J.-C., Zimmermann, N.E., and O'Hara, R.B.

Abstract

Aim Biotic interactions – within guilds or across trophic levels – have widely been ignored in species distribution models (SDMs). This synthesis outlines the development of ‘species interaction distribution models’ (SIDMs), which aim to incorporate multispecies interactions at large spatial extents using interaction matrices.Location Local to global.Methods We review recent approaches for extending classical SDMs to incorporate biotic interactions, and identify some methodological and conceptual limitations. To illustrate possible directions for conceptual advancement we explore three principal ways of modelling multispecies interactions using interaction matrices: simple qualitative linkages between species, quantitative interaction coefficients reflecting interaction strengths, and interactions mediated by interaction currencies. We explain methodological advancements for static interaction data and multispecies time series, and outline methods to reduce complexity when modelling multispecies interactions.Results Classical SDMs ignore biotic interactions and recent SDM extensions only include the unidirectional influence of one or a few species. However, novel methods using error matrices in multivariate regression models allow interactions between multiple species to be modelled explicitly with spatial co-occurrence data. If time series are available, multivariate versions of population dynamic models can be applied that account for the effects and relative importance of species interactions and environmental drivers. These methods need to be extended by incorporating the non-stationarity in interaction coefficients across space and time, and are challenged by the limited empirical knowledge on spatio-temporal variation in the existence and strength of species interactions. Model complexity may be reduced by: (1) using prior ecological knowledge to set a subset of interaction coefficients to zero, (2) modelling guilds and functional groups rather than indivi

Published
2012

17. The relationship between niche breadth and range size of beech (Fagus) species worldwide

Author

Cindy Q. Tang, Andraž Čarni, Jianxiao Zhu, Wenjing Fang, Francesco Maria Sabatini, Hamid Gholizadeh, Wolfgang Willner, Zhiyao Tang, Jens-Christian Svenning, Robert K. Peet, Franziska Schrodt, Adrian Indreica, Chengjun Ji, Remigiusz Pielech, Jonathan Lenoir, Süleyman Çoban, Jiangling Zhu, Dirk Nikolaus Karger, József Pál Frink, Jingyun Fang, Richard Field, Kubota Yasuhiro, Juan Antonio Campos, Jiri Dolezal, Erik Welk, Qiong Cai, Michele De Sanctis, Helge Bruelheide, Ioannis Tsiripidis, Milan Chytrý, Ute Jandt, Fabio Attorre, Jürgen Dengler, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Cai Q., Welk E., Ji C., Fang W., Sabatini F.M., Zhu J., Tang Z., Attorre F., Campos J.A., Carni A., Chytry M., Coban S., Dengler J., Dolezal J., Field R., Frink J.P., Gholizadeh H., Indreica A., Jandt U., Karger D.N., Lenoir J., Peet R.K., Pielech R., De Sanctis M., Schrodt F., Svenning J.-C., Tang C.Q., Tsiripidis I., Willner W., Yasuhiro K., Fang J., and Bruelheide H.

Subjects
0106 biological sciences, Range (biology), [SDE.MCG]Environmental Sciences/Global Changes, Niche, niche evolution, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, 01 natural sciences, co-occurrence data, niche breadth, Fagus, geographical range size, Beech, Ecology, Evolution, Behavior and Systematics, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Fagu, climatic niche, deciduous species, Fagus, geographical range size, phylogenetic signal, temperate forest flora, vegetation-plot data, Ecology, biology, Phylogenetic tree, Vegetation, 15. Life on land, biology.organism_classification, Deciduous, Taxon, 580: Pflanzen (Botanik), deciduous specie, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Temperate rainforest, 010606 plant biology & botany
Abstract

Aim: This work explores whether the commonly observed positive range size-niche breadth relationship exists for Fagus, one of the most dominant and widespread broad-leaved deciduous tree genera in temperate forests of the Northern Hemisphere. Additionally, we ask whether the 10 extant Fagus species' niche breadths and climatic tolerances are under phylogenetic control. Location: Northern Hemisphere temperate forests. Taxon: Fagus L. Methods: Combining the global vegetation database sPlot with Chinese vegetation data, we extracted 107,758 releves containing Fagus species. We estimated biotic and climatic niche breadths per species using plot-based co-occurrence data and a resource-based approach, respectively. We examined the relationships of these estimates with range size and tested for their phylogenetic signal, prior to which a Random Forest (RF) analysis was applied to test which climatic properties are most conserved across the Fagus species. Results: Neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Notably, the widespread North American F. grandifolia had a distinctly smaller biotic niche breadth than the Chinese Fagus species (F. engleriana, F. hayatae, F. longipetiolata and F. lucida) with restricted distributions in isolated mountains. The RF analysis revealed that cold tolerance did not differ among the 10 species, and thus may represent an ancestral, fixed trait. In addition, neither biotic nor climatic niche breadths are under phylogenetic control. Main Conclusions: We interpret the lack of a general positive range size-niche breadth relationship within the genus Fagus as a result of the widespread distribution, high among-region variation in available niche space, landscape heterogeneity and Quaternary history. The results hold when estimating niche sizes either by fine-scale co-occurrence data or coarse-scale climate data, suggesting a mechanistic link between factors operating across spatial scales. Besides, there was no evidence for diverging ecological specialization within the genus Fagus. National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC); Ministry of Science and Technology of ChinaMinistry of Science and Technology, China; National Key Research and Development Program of China; Grantova Agentura Ceske RepublikyGrant Agency of the Czech Republic; Chinese Scholarship CouncilChina Scholarship Council; Independent Research Fund Denmark; Villum Fonden; German Research FoundationGerman Research Foundation (DFG); Ministry of Education, Youth and Sport of the Czech Republic, program Inter-Excellence; Natural Sciences project TREECHANGE National Natural Science Foundation of China; Ministry of Science and Technology of China; National Key Research and Development Program of China; Grantova Agentura Ceske Republiky; Chinese Scholarship Council; Independent Research Fund Denmark; Natural Sciences project TREECHANGE; Villum Fonden; German Research Foundation; Ministry of Education, Youth and Sport of the Czech Republic, program Inter-Excellence

Published
2021
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