Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
Rotta, Luiz Henrique [1] ; Mishra, Deepak R. [2] ; Alcantara, Enner [3] ; Imai, Nilton [1] ; Watanabe, Fernanda [1] ; Rodrigues, Thanan [4]
Número total de Autores: 6
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: REMOTE SENSING; v. 11, n. 3 FEB 1 2019.
Citações Web of Science: 0
Resumo

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)

Processo FAPESP: 13/09045-7 - Mapeamento de macrófitas submersas em reservatório baseado na teoria de transferência radiativa na coluna de água
Beneficiário:Nilton Nobuhiro Imai
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 12/19821-1 - Parametrização de modelo bio-óptico para o estudo da concentração de clorofila-A ao longo de reservatórios em cascata
Beneficiário:Enner Herenio de Alcântara
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 15/21586-9 - Re-parametrização do algoritmo quase-analítico (QAA) para estimativa das propriedades ópticas inerentes nos reservatórios do Rio Tietê
Beneficiário:Enner Herenio de Alcântara
Modalidade de apoio: Auxílio à Pesquisa - Regular