![]() ![]() Issue Section: Articles 3 Present address: The Rockefeller University, New York, New York 10021. The fittest, or successful, phytoplankton types were characterised by combinations of simultaneously optimal traits that suited them to a particular depth in the water column, reflecting the view that phytoplankton have co-evolved multiple traits that are advantageous in a particular environmental condition or niche. The effects of chromatic adaptation on O 2 evolution can be predicted from our calculations of energy distribution between PSI and PSII for cells grown in the different colors of light. In addition, temperature dependence was important for selection of phytoplankton types on the temperature gradient. There are seven CA types, CA1-CA7, classified according to various photoregulatory pathways. In contrast, photoinhibition was important for vertical separation of high-light and low-light Prochlorococcus model analogues. Chromatic acclimation (CA) is a widespread mechanism for optimizing the composition of phycobiliprotein complexes to maximize the cyanobacterial light capture efficiency. To prove the visual system’s ability to adapt, my lighting professor took my class to the lighting laboratory in the engineering units. ![]() Model phytoplankton types with Synechococcus-like spectral light absorption properties were outcompeted at depth, where eukaryote-like spectral properties were advantageous. Chromatic adaptation is the ability of our visual system to allow us to see objects and colors similarly under various light sources, and this is the concept behind my real-world example. The model successfully reproduced observed vertical gradients in the nitrate, bulk phytoplankton properties and community structure. The model incorporates multi-spectral optics and light absorption properties for the different phytoplankton. The model included 1000 ‘phytoplankton types’ and was applied to the oligotrophic South Atlantic Gyre in a 1-dimensional framework, where ‘phytoplankton types’ refers to the model phytoplankton that were stochastically assigned unique physiological characteristics. RGB Chromatic adaptation is accomplished as follows: A scaled and gamma-converted RGB vector is multiplied by a 3x3 matrix, M, whose terms are a function of the chromaticity coordinates and white point coordinates of the colorspace in question, XSYSZS, to obtain an XYZ vector. *Email: We explored the role of chromatic adaptation in shaping vertical phytoplankton community structures using a trait-based ecosystem model. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |