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Blade life span, structural investment, and nutrient allocation in giant kelp

Overview of attention for article published in Oecologia, June 2016
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Title
Blade life span, structural investment, and nutrient allocation in giant kelp
Published in
Oecologia, June 2016
DOI 10.1007/s00442-016-3674-6
Pubmed ID
Authors

Gabriel E. Rodriguez, Daniel C. Reed, Sally J. Holbrook

Abstract

The turnover of plant biomass largely determines the amount of energy flowing through an ecosystem and understanding the processes that regulate turnover has been of interest to ecologists for decades. Leaf life span theory has proven useful in explaining patterns of leaf turnover in relation to resource availability, but the predictions of this theory have not been tested for macroalgae. We measured blade life span, size, thickness, nitrogen content, pigment content, and maximum photosynthetic rate (P max) in the giant kelp (Macrocystis pyrifera) along a strong resource (light) gradient to test whether the predictions of leaf life span theory applied to this alga. We found that shorter blade life spans and larger blade areas were associated with increased light availability. In addition, nitrogen and P max decreased with blade age, and their decrease was greater in shorter lived blades. These observations are generally consistent with patterns observed for higher plants and the prevailing theory of leaf life span. By contrast, variation observed in pigments of giant kelp was inconsistent with that predicted by leaf life span theory, as blades growing in the most heavily shaded portion of the forest had the lowest chlorophyll content. This result may reflect the dual role of macroalgal blades in carbon fixation and nutrient absorption and the ability of giant kelp to modify blade physiology to optimize the acquisition of light and nutrients. Thus, the marine environment may place demands on resource acquisition and allocation that have not been previously considered with respect to leaf life span optimization.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Master 7 18%
Student > Bachelor 6 15%
Other 4 10%
Professor 3 8%
Other 8 21%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 49%
Environmental Science 10 26%
Earth and Planetary Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 5 13%