As human induced climate change continues to alter the world’s oceans, it becomes
increasingly important to hone the predictive power of models to understand the ecosystem
level changes and challenges that the coming decades will bring. However, models are only
as robust as the data upon which they are formulated, and the experimentation required to
inform them must be based on an interconnected and concomitantly changing set of
conditions. Phytoplankton, specifically diatoms, are a worthy focus group as they are
particularly ecologically successful—and responsible for approximately 40% of marine
primary production. By scrutinizing the potential effects of climate change on
phytoplankton, the base of the marine food web, researchers can obtain crucial information
upon which to build predictions for entire ecosystems.
This series of experiments was designed to investigate the combined effects of
temperature and light on the growth and photophysiology of two strains (one coastal and one
open-ocean) of the diatom Thalassiosira pseudonana. The goal in producing this data-set is
to add to the growing body of multi-stressor research which will aid in understanding the
response of phytoplankton to future ocean conditions. This set of experiments takes
advantage of advances in culturing techniques and utilizes a bioreactor (multicultivator
Z160-OD) containing individual treatment vessels, thus allowing for the easy cultivation of
diatoms under eight different light regimes at the same temperature. Through the use of
higher treatment numbers across a gradient of conditions, we exploit the opportunity to
detect and quantify potential non-linear response patterns.
Our results show that the response of T. pseudonana to simultaneous changes in
temperature and irradiance is dependent on the measured response trait, which suggests that
interpretation of performance curves requires clear identification of all conditions under
which they were generated. Our data also suggest subtle differences between the two strains
in the response of growth rate at suboptimal irradiances. Over the range of temperatures
tested in these experiments where growth was possible, temperature proved unimportant to
the growth rate of the open ocean strain (CCMP 1014) at suboptimal light levels. Whereas
the coastal strain (CCMP 1335) demonstrated an interactive relationship between light and
temperature at suboptimal irradiances. As temperatures were pushed above the optimal, the
cellular characteristics of carbon content and size of the open ocean strain exhibit a clear
split based upon irradiance; with high light leading to large carbon-poor cells and low light
resulting in small, carbon-dense cells. Our findings also support the idea that the relationship
between growth rate and cellular carbon content, while complex and non-linear, is likely
predictable. The “choices” and energy trade-offs employed by this species of diatom under
the simplified set of experimental conditions in this study, highlight the importance of
having clear understandings of the mechanisms driving these changes before they are
incorporated into models, as hypothetical outcomes could be missed if only values obtained
under specific ranges are used for prediction.