Projects per year
Abstract
One feature of global change is that biota must respond not to single, but to multiple environmental drivers. By growing a model photosynthetic microbe in environments containing between one and eight different drivers, including changes in CO2, temperature, and pH, in different combinations, we show that the number as well as the identities of drivers explain shifts in population growth rates. This is because the biotic response to multiple environmental drivers depends on the response to the single dominant driver, and the chance of a driver of large effect being present increases with the number of drivers. Interactions between drivers slightly counteract the expected drop in growth. Our results demonstrate that population growth declines in a predictable way with the number of environmental drivers, and provide an empirically supported model for scaling up from studies on organismal responses to single drivers to predict responses to large numbers of environmental drivers.
Original language | English |
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Pages (from-to) | 892-897 |
Number of pages | 6 |
Journal | Nature Climate Change |
Volume | 5 |
Issue number | 9 |
Early online date | 15 Jun 2015 |
DOIs | |
Publication status | Published - 1 Sept 2015 |
Keywords / Materials (for Non-textual outputs)
- climate-change ecology
Fingerprint
Dive into the research topics of 'Growth responses of a green alga to multiple environmental drivers'. Together they form a unique fingerprint.Projects
- 2 Finished
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Marine microbial experimental evolution
Collins, S. (Principal Investigator)
1/10/15 → 30/09/18
Project: Research
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Datasets
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Data from: Growth responses of a green alga to multiple environmental drivers
Brennan, G. L. (Creator) & Collins, S. (Creator), Dryad, 4 May 2016
DOI: 10.5061/dryad.jt1fb, https://datadryad.org/stash/dataset/doi:10.5061/dryad.jt1fb and one more link, https://zenodo.org/records/4994648 (show fewer)
Dataset
Profiles
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Sinead Collins
- School of Biological Sciences - Personal Chair of Microbial Evolution
Person: Academic: Research Active