Three-dimensional model for analysis of spatial and temporal patterns of phytoplankton in Tucuruí reservoir, Pará, Brazil

Deus, Ricardo Jorge Amorim de; Brito, David; Kenov, Isabella Ascione; Lima, Marcelo de Oliveira; Costa, Vanessa Vieira Lourenço; Medeiros, Adaelson Campelo; Neves, Ramiro; Alves, Cláudio Nahum

doi:10.1016/j.ecolmodel.2012.10.013

Cited by 46 publications

(26 citation statements)

References 26 publications

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“…Several simulation models have been widely used to study freshwater ecosystems [16,17,[25][26][27], such as the integration of one-dimensional Dynamic Reservoir Simulation Model and Computational Aquatic Ecosystem Dynamics Model (DYRESM-CAEDYM), the applications of two-dimensional water quality and hydrodynamic model supported by the U.S. Army Corps of Engineers (CE-QUAL-W2), and the three-dimensional Hydrodynamic Model Water Modeling System (MOHID) developed by Technical University of Lisbon, Portugal. The projected changes in future climate, especially those on a regional scale, are the most important information that is needed to predict the effects of climate change on reservoir water quality.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Chang

Cai

Lin

et al. 2015

Water

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Surface water quality has been identified as potentially vulnerable to climate change. This study assesses the impacts of climate change on the water quality of Hsinshan Reservoir, Taiwan, through CE-QUAL-W2 simulations. The model parameters were calibrated by field data collected during [2004][2005][2006][2007][2008], and verified against observations made during 2009-2012. The projected temperature and precipitation data for the near-and long-term future were downscaled to regional and daily scales, and used to simulate the projected changes in water quality through the validated model. The simulation results were reported as probability-based cumulative distribution functions to access the impacts of climate change on water quality. The results indicated that the intensified thermal stratification caused by the rising temperature is the primary driver of water quality decline, which increases the probability of deep-layer oxygen depletion and the flux of limiting nutrients for algae growth, resulting in a higher risk of algal blooms and eutrophication. The adaptation strategies of multilevel-intake operations and increasing bottom-layer dissolved oxygen without destratification are recommended. OPEN ACCESSWater 2015, 7 1688

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Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Chang

Cai

Lin

et al. 2015

Water

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“…The increasing demand for energy in Brazil and worldwide due to the significant population increase has led to an increase in the number of reservoirs installed along rivers in most hydrographic basins, which in some regions now dominate the local landscape (Agostinho et al, 2007;Deus et al, 2013;Grill et al, 2015;Winemiller et al, 2016). For smaller rivers with small or medium falls, the construction of small hydroelectrical power stations (HPSs) has prevailed, with more affordable costs and less time for implementation (Hirschmann et al, 2008).…”

Section: Introductionmentioning

confidence: 98%

Phytoplankton functional groups in a subtropical Brazilian reservoir: responses to impoundment

et al. 2016

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The discontinuity in rivers caused by the construction of reservoirs disrupts the longitudinal gradient and decreases the natural connectivity of lotic systems. We evaluated the dynamics of Reynolds functional groups (RFGs) in response to the formation of a subtropical reservoir, in relation to the environmental changes between the pre-and post-impoundment periods. We hypothesized that the disruption of longitudinal connectivity and the changes in the light and mixing regime after the impoundment would directly influence the phytoplankton functional structure. Significant changes in the light and mixing regimes were observed after the impoundment, with the formation of a lacustrine zone, influencing the dynamics of RFGs. Fourteen RFGs were recorded. RFG C (diatoms) dominated in the pre-impoundment period. In the post-impoundment period, RFGs C, P (diatoms), and J (chlorophyceans) codominated with the highest mean values of biovolume. RFGs MP, N, H1, W2, F, E, A, W1, B, X1, and S1 contributed relatively little to the biovolume, although with higher values in the post-impoundment period. RFGs F and S1 were recorded only after the impoundment. This study revealed the important roles of physical processes and nutrients in the spatial and seasonal gradient, and in the selection of phytoplankton functional groups in a subtropical reservoir.

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“…model being applied in Brazil, a physical-biological NPZ model that simulated the phytoplankton bloom in the Cabo Frio (rio de Janeiro) upwelling system (Carbonel and Valentin 1999). When all planktonic models, and not exclusively trophic models, were included in the search for Brazil, only one model applied in the marine system was found (Valentin and Coutinho 1990), while ten models applied in lakes and reservoirs were found (e.g., Araújo et al 2008, Fragoso et al 2008, Fernández et al 2012, Deus et al 2013. Deus et al (2013), for example, investigated spatial and temporal phytoplankton patterns in the Tucuruí reservoir (Pará) using a robust NPZD platform coupled with a 3D physical model and performing all three of the modelling steps described above (i.e., sensitivity analysis, calibration and validation).…”

Section: Planktonic Trophic Models Around the Globementioning

confidence: 99%

Evaluation of the complexity and performance of marine planktonic trophic models

Leles

Valentin

Figueiredo

2016

An. Acad. Bras. Ciênc.

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Planktonic models represent a powerful tool for creating hypotheses and making predictions about the functioning of marine ecosystems. Their complexity varies according to the number of state variables and the choice of functional forms. We evaluated plankton models during the last 15 years (n =145) with the aims of understanding why they differ in complexity, evaluating model robustness, and describing studies of plankton modelling around the globe. We classified models into four groups: Nutrient-PhytoplanktonZooplankton (NPZ), Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD), Size-Structured (SS) and Plankton-Functional-Type (PFT). Our results revealed that the number of state variables varied according to the question being addressed: NPZ models were more frequently applied in physical-biological studies, while PFT models were more applied for investigating biogeochemical cycles. Most models were based on simple functional forms which neglect important feedback related to control of plankton dynamics. Modelling studies sometimes failed to describe sensitivity analysis, calibration and validation. The importance of testing different functional forms was commonly overlooked, and the lack of empirical data affected the verification of model robustness. Lastly, we highlight the need to develop modelling studies in the Southern Hemisphere, including Brazil, in order to provide predictions that assist the management of marine ecosystems.

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Three-dimensional model for analysis of spatial and temporal patterns of phytoplankton in Tucuruí reservoir, Pará, Brazil

Cited by 46 publications

References 26 publications

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Phytoplankton functional groups in a subtropical Brazilian reservoir: responses to impoundment

Evaluation of the complexity and performance of marine planktonic trophic models

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