Caroline E. Farrior
Affiliations: | 2012 | Ecology and Evolutionary Biology | Princeton University, Princeton, NJ |
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"Caroline Farrior"Parents
Sign in to add mentor| Simon Asher Levin | grad student | 2012 | Princeton | |
| (The roles of competition and resource availability in the biomass allocation of plant communities.) | ||||
| Stephen Wilson Pacala | grad student | 2007-2012 | Princeton (Marine Ecology Tree) | |
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Publications
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| Poorter L, Craven D, Jakovac CC, et al. (2021) Multidimensional tropical forest recovery. Science (New York, N.Y.). 374: 1370-1376 |
| Crawford MS, Barry KE, Clark AT, et al. (2021) The function-dominance correlation drives the direction and strength of biodiversity-ecosystem functioning relationships. Ecology Letters |
| Reiskind MOB, Moody ML, Bolnick DI, et al. (2021) Nothing in Evolution Makes Sense Except in the Light of Biology. Bioscience. 71: 370-382 |
| Franklin O, Harrison SP, Dewar R, et al. (2020) Organizing principles for vegetation dynamics. Nature Plants |
| Rüger N, Condit R, Dent DH, et al. (2020) Demographic trade-offs predict tropical forest dynamics. Science (New York, N.Y.). 368: 165-168 |
| Farrior CE. (2019) Theory predicts plants grow roots to compete with only their closest neighbours. Proceedings. Biological Sciences. 286: 20191129 |
| Lu Y, Duursma RA, Farrior CE, et al. (2019) Optimal stomatal drought response shaped by competition for water and hydraulic risk can explain plant trait covariation. The New Phytologist |
| Weng E, Dybzinski R, Farrior CE, et al. (2019) Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model Biogeosciences. 16: 4577-4599 |
| Dybzinski R, Kelvakis A, McCabe J, et al. (2018) How are nitrogen availability, fine-root mass, and nitrogen uptake related empirically? Implications for models and theory. Global Change Biology |
| Fisher RA, Koven CD, Anderegg WRL, et al. (2017) Vegetation Demographics in Earth System Models: a review of progress and priorities. Global Change Biology |