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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

K-d(PAR) and a Depth Based Model to Estimate the Height of Submerged Aquatic Vegetation in an Oligotrophic Reservoir: A Case Study at Nova Avanhandava

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Rotta, Luiz Henrique [1] ; Mishra, Deepak R. [2] ; Alcantara, Enner [3] ; Imai, Nilton [1] ; Watanabe, Fernanda [1] ; Rodrigues, Thanan [4]
Total Authors: 6
[1] Sao Paulo State Univ UNESP, Dept Cartography Presidente Prudente, BR-19160900 Sao Paulo, SP - Brazil
[2] Univ Georgia UGA, Dept Geog, Athens, GA 30609 - USA
[3] Sao Paulo State Univ UNESP, Dept Environm Engn Sao Jose Dos Campos, BR-12245000 Sao Paulo, SP - Brazil
[4] Fed Inst Educ Sci & Technol State IFPA, Castanhal, PA 68740 - USA
Total Affiliations: 4
Document type: Journal article
Source: REMOTE SENSING; v. 11, n. 3 FEB 1 2019.
Web of Science Citations: 0

Submerged aquatic vegetation (SAV) carry out important biological functions in freshwater systems, however, uncontrolled growth can lead to many negative ecologic and economic impacts. Radiation availability is the primary limiting factor for SAV and it is a function of water transparency measured by K-d(PAR) (downwelling attenuation coefficient of Photosynthetically Active Radiation) and depth. The aim of this study was to develop a K-d(PAR) and depth based model to estimate the height of submerged aquatic vegetation in a tropical oligotrophic reservoir. This work proposed a new graphical model to represent the SAV height in relation to K-d(PAR) and depth. Based on the visual analysis of the model, it was possible to establish a set of Boolean rules to classify the SAV height and identify regions where SAV can grow with greater or lesser vigor. K-d(PAR) was estimated using a model based on satellite data. Overall, the occurrence and height of SAV were directly influenced by the K-d(PAR), depending on the depth. This study highlights the importance of optical parameters in examining the occurrence and status of SAV in Brazilian Reservoirs. It was concluded that the digital model and its graphical representation overcomes the limitations found by other researchers to understand the SAV behavior in relation to those independent variables: depth and K-d(PAR). (AU)

FAPESP's process: 13/09045-7 - Submersed aquatic vegetation - SAV mapping based on radiative transfer theory - RTT in water bodies
Grantee:Nilton Nobuhiro Imai
Support type: Regular Research Grants
FAPESP's process: 12/19821-1 - Bio-optical model parametrization to study the chlorophyll-A concentration along a cascade of reservoirs
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants
FAPESP's process: 15/21586-9 - Re-parametrization of a Quasi-Analytical Algorithm (QAA) to estimating the inherent optical properties in reservoirs of Tietê River
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants