Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1073/pnas.1708984114 |
| Title (Primary) | Mapping local and global variability in plant trait distributions |
| Author | Butler, E.E.; Datta, A.; Flores-Moreno, H.; Chen, M.; Wythers, K.R.; Fazayeli, F.; Banerjee, A.; Atkin, O.K.; Kattge, J.; Amiaud, B.; Blonder, B.; Boenisch, G.; Bond-Lamberty, B.; Brown, K.A.; Byun, C.; Campetella, G.; Cerabolini, B.E.L.; Cornelissen, J.H.C.; Craine, J.M.; Craven, D.; de Vries, F.; Díaz, S.; Domingues, T.F.; Forey, E.; González-Melo, A.; Gross, N.; Han, W.; Hattingh, W.N.; Hickler, T.; Jansen, S.; Kramer, K.; Kraft, N.J.B.; Kurokawa, H.; Laughlin, D.C.; Meir, P.; Minden, V.; Niinemets, Ü.; Onoda, Y.; Peñuelas, J.; Read, Q.; Sack, L.; Schamp, B.; Soudzilovskaia, N.A.; Spasojevic, M.J.; Sosinski, E.; Thornton, P.E.; Valladares, F.; van Bodegom, P.M.; Williams, M.; Wirth, C.; Reich, P.B. |
| Source Titel | Proceedings of the National Academy of Sciences of the United States of America |
| Year | 2017 |
| Department | BZF |
| Volume | 114 |
| Issue | 51 |
| Page From | E10937 |
| Page To | E10946 |
| Language | englisch |
| Supplements | https://www.pnas.org/highwire/filestream/786987/field_highwire_adjunct_files/0/pnas.1708984114.sapp.pdf |
| Keywords | plant traits; Bayesian modeling; spatial statistics; global; climate |
| UFZ wide themes | RU1; |
| Abstract | Currently, Earth system models (ESMs) represent variation in plant life through the presence of a small set of plant functional types (PFTs), each of which accounts for hundreds or thousands of species across thousands of vegetated grid cells on land. By expanding plant traits from a single mean value per PFT to a full distribution per PFT that varies among grid cells, the trait variation present in nature is restored and may be propagated to estimates of ecosystem processes. Indeed, critical ecosystem processes tend to depend on the full trait distribution, which therefore needs to be represented accurately. These maps reintroduce substantial local variation and will allow for a more accurate representation of the land surface in ESMs. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=19773 |
| Butler, E.E., Datta, A., Flores-Moreno, H., Chen, M., Wythers, K.R., Fazayeli, F., Banerjee, A., Atkin, O.K., Kattge, J., Amiaud, B., Blonder, B., Boenisch, G., Bond-Lamberty, B., Brown, K.A., Byun, C., Campetella, G., Cerabolini, B.E.L., Cornelissen, J.H.C., Craine, J.M., Craven, D., de Vries, F., Díaz, S., Domingues, T.F., Forey, E., González-Melo, A., Gross, N., Han, W., Hattingh, W.N., Hickler, T., Jansen, S., Kramer, K., Kraft, N.J.B., Kurokawa, H., Laughlin, D.C., Meir, P., Minden, V., Niinemets, Ü., Onoda, Y., Peñuelas, J., Read, Q., Sack, L., Schamp, B., Soudzilovskaia, N.A., Spasojevic, M.J., Sosinski, E., Thornton, P.E., Valladares, F., van Bodegom, P.M., Williams, M., Wirth, C., Reich, P.B. (2017): Mapping local and global variability in plant trait distributions Proc. Natl. Acad. Sci. U.S.A. 114 (51), E10937 - E10946 10.1073/pnas.1708984114 |
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