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Partitioning of the diffuse attenuation coefficient for photosynthetically available irradiance in a deep dendritic tropical lake

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2017
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Title
Partitioning of the diffuse attenuation coefficient for photosynthetically available irradiance in a deep dendritic tropical lake
Published in
Anais da Academia Brasileira de Ciências, May 2017
DOI 10.1590/0001-3765201720160016
Pubmed ID
Authors

Luciana P M Brandão, Ludmila S Brighenti, Peter A Staehr, Francisco A R Barbosa, José F Bezerra-Neto

Abstract

We studied the effects of particulate and dissolved optically active components on the attenuation of photosynthetic active radiation (PAR) in a tropical lake. The temporal and spatial distribution of tripton, Chl-a and aCDOM(440) and their relative contribution to the diffuse PAR attenuation coefficient (Kd) was investigated at 21 sites (dry and wet seasons and two intermediate periods) and at monthly interval at 1 pelagic site. Higher values of ​​ Kd were observed during the mixing period, characterized by a higher concentration of tripton and Chl-a compared to the stratified rainy season. In the spatial sampling PAR attenuation was dominated by tripton absorption/scattering (average relative contribution of 79%), followed by Chl-a (average 11.6%). In the monthly sampling tripton and Chl-a accounted for most of the Kd with relative contributions of 47.8% and 35.6%, respectively. Multiple linear regression analysis showed that Chl-a and tripton in combination explained 97% of the monthly variation in Kd (p<0.001), but Chl-a had more influence (higher regression coefficient). Thus, although most of light attenuation was due to tripton, seasonal variations in phytoplankton abundance were responsible for most of the temporal fluctuations in Kd.

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The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Student > Master 4 17%
Professor 4 17%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Environmental Science 9 38%
Agricultural and Biological Sciences 4 17%
Earth and Planetary Sciences 3 13%
Engineering 2 8%
Computer Science 1 4%
Other 1 4%
Unknown 4 17%