Mapping local and global variability in plant trait distributions

Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been...

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Opis bibliograficzny
Wydane w:Proc Natl Acad Sci U S A
Główni autorzy: Butler, Ethan E., Datta, Abhirup, Flores-Moreno, Habacuc, Chen, Ming, Wythers, Kirk R., Fazayeli, Farideh, Banerjee, Arindam, Atkin, Owen K., Kattge, Jens, Amiaud, Bernard, Blonder, Benjamin, Boenisch, Gerhard, Bond-Lamberty, Ben, Brown, Kerry A., Byun, Chaeho, Campetella, Giandiego, Cerabolini, Bruno E. L., Cornelissen, Johannes H. C., Craine, Joseph M., Craven, Dylan, de Vries, Franciska T., Díaz, Sandra, Domingues, Tomas F., Forey, Estelle, González-Melo, Andrés, Gross, Nicolas, Han, Wenxuan, Hattingh, Wesley N., Hickler, Thomas, Jansen, Steven, Kramer, Koen, Kraft, Nathan J. B., Kurokawa, Hiroko, Laughlin, Daniel C., Meir, Patrick, Minden, Vanessa, Niinemets, Ülo, Onoda, Yusuke, Peñuelas, Josep, Read, Quentin, Sack, Lawren, Schamp, Brandon, Soudzilovskaia, Nadejda A., Spasojevic, Marko J., Sosinski, Enio, Thornton, Peter E., Valladares, Fernando, van Bodegom, Peter M., Williams, Mathew, Wirth, Christian, Reich, Peter B.
Format: Artigo
Język:Inglês
Wydane: National Academy of Sciences 2017
Hasła przedmiotowe:
PNAS Plus
Dostęp online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5754770/
https://ncbi.nlm.nih.gov/pubmed/29196525
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1708984114
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