Trend Analysis of Nutrient Concentrations and Loads in Selected Canals of the Southern Indian River Lagoon, Florida

Qian, Yuli; Migliaccio, Kati W.; Wan, Yongshan; Li, Yuncong

doi:10.1007/s11270-007-9477-y

Cited by 23 publications

(15 citation statements)

References 27 publications

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“…Maintaining, protecting, and improving quantity and quality of water resources necessitate implementation of monitoring programs to quantify changes and make decisions and policies based on this information (Qian et al 2007;Odemis and Evrendilek 2008). Monitoring programs provide time series data sets for a whole host of variables without an overall view of spatial and temporal trends whose interpretations are often complicated (Pesce and Wunderlin 2000;Boyacioglu 2007;Odemis and Evrendilek 2007).…”

Section: Introductionmentioning

confidence: 99%

Water quality time series for Big Melen stream (Turkey): its decomposition analysis and comparison to upstream

Karakaya

Evrendilek

2009

Environ Monit Assess

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Big Melen stream is one of the major water resources providing 0.268 [corrected] km(3) year(-1) of drinking and municipal water for Istanbul. Monthly time series data between 1991 and 2004 for 25 chemical, biological, and physical water properties of Big Melen stream were separated into linear trend, seasonality, and error components using additive decomposition models. Water quality index (WQI) derived from 17 water quality variables were used to compare Aksu upstream and Big Melen downstream water quality. Twenty-six additive decomposition models of water quality time series data including WQI had R (2) values ranging from 88% for log(water temperature) (P < or = 0.001) to 3% for log(total dissolved solids) (P < or = 0.026). Linear trend models revealed that total hardness, calcium concentration, and log(nitrite concentration) had the highest rate of increase over time. Tukey's multiple comparison pointed to significant decreases in 17 water quality variables including WQI of Big Melen downstream relative to those of Aksu upstream (P < or = 0.001). Monitoring changes in water quality on the basis of watersheds through WQI and decomposition analysis of time series data paves the way for an adaptive management process of water resources that can be tailored in response to effectiveness and dynamics of management practices.

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Section: Introductionmentioning

confidence: 99%

Water quality time series for Big Melen stream (Turkey): its decomposition analysis and comparison to upstream

Karakaya

Evrendilek

2009

Environ Monit Assess

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“…The second environmental change is pollution, which reduces crab foraging capabilities, resulting in a diet shift away from predation (Reichmuth et al 2009). The Indian River Lagoon on the eastern coast of Florida, USA, where our study was conducted, currently experiences intense pollution (Qian et al 2007). While public awareness of the effects of this pollution have focused primarily on mammals, birds, and reptiles, crustaceans may also experience negative impacts that could shift their diets away from animal consumption.…”

Section: Introductionmentioning

confidence: 99%

Fitness-associated consequences of an omnivorous diet for the mangrove tree crab Aratus pisonii

Riley¹,

Vogel²,

Griffen³

2014

Aquat. Biol.

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Omnivory is a widespread trophic strategy with variable impacts on survival and reproduction, even within closely related taxonomic groups. In coastal ecosystems experiencing extensive environmental changes, many decapod crustaceans employ omnivorous feeding strategies. Because animals initially respond to environmental changes with behavioral modifications that can alter their foraging habits, a mechanistic understanding of how diet influences fitness is essential to predict the impact of future environmental changes on species fitness and population dynamics. We investigated the impact of an omnivorous diet on the consumption, survivorship, physiological condition, and reproductive effort of the mangrove tree crab Aratus pisonii, a major mangrove consumer. A. pisonii engaged in compensatory feeding on plant material; crabs consumed more food and digested it less efficiently as the proportion of plant material in their diet increased. Although there were relatively few deaths, survival appeared to be negatively impacted by the consumption of large quantities of animal material and marginally negatively influenced by high levels of plant consumption. Physiological condition improved due to consumption of both plant and animal material, while only consumption of animal material increased reproductive investment. These results demonstrate that the opportunistic inclusion of animal material in the diet of A. pisonii significantly improves physiological condition and reproductive effort, and suggests that vitellogenic individuals cannot fully compensate for a lack of animal material in their diet by increasing plant consumption. This study provides a mechanistic framework to understand how potential diet changes by omnivorous crabs such as A. pisonii, which are facing numerous changes in their environment, may impact their fitness and population dynamics.

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“…In Florida, lowland river tributaries, agricultural production, and urbanization have given rise to major concerns about P enrichment impacting low-lying drainage endpoints (e.g., wetlands) (Grunwald and Reddy, 2008) or coastal areas (Perry, 2008). Trend analysis of nutrient concentrations and loads in four canals of the southern Indian River Lagoon showed signifi cant increases (median total P in canals of 138 to 376 μg L −1 ) exceeding USEPA ambient water quality criteria for the study area (Qian et al, 2007).…”

Section: Modeling Of Phosphorus Loads In Sugarcane In a Low-relief Lamentioning

confidence: 91%

Modeling of Phosphorus Loads in Sugarcane in a Low‐Relief Landscape Using Ontology‐based Simulation

et al. 2010

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Water flow and P dynamics in a low-relief landscape manipulated by extensive canal and ditch drainage systems were modeled utilizing an ontology-based simulation model. In the model, soil water flux and processes between three soil inorganic P pools (labile, active, and stable) and organic P are represented as database objects. And user-defined relationships among objects are used to automatically generate computer code (Java) for running the simulation of discharge and P loads. Our objectives were to develop ontology-based descriptions of soil P dynamics within sugarcane- (Saccharum officinarum L.) grown farm basins of the Everglades Agricultural Area (EAA) and to calibrate and validate such processes with water quality monitoring data collected at one farm basin (1244 ha). In the calibration phase (water year [WY] 99-00), observed discharge totaled 11,114 m3 ha(-1) and dissolved P 0.23 kg P ha(-1); and in the validation phase (WY 02-03), discharge was 10,397 m3 ha(-1) and dissolved P 0.11 kg P ha(-). During WY 99-00 the root mean square error (RMSE) for monthly discharge was 188 m3 ha(-1) and for monthly dissolved P 0.0077 kg P ha(-1); whereas during WY 02-03 the RMSE for monthly discharge was 195 m3 ha(-1) and monthly dissolved P 0.0022 kg P ha(-1). These results were confirmed by Nash-Sutcliffe Coefficient of 0.69 (calibration) and 0.81 (validation) comparing measured and simulated P loads. The good model performance suggests that our model has promise to simulate P dynamics, which may be useful as a management tool to reduce P loads in other similar low-relief areas.

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Trend Analysis of Nutrient Concentrations and Loads in Selected Canals of the Southern Indian River Lagoon, Florida

Cited by 23 publications

References 27 publications

Water quality time series for Big Melen stream (Turkey): its decomposition analysis and comparison to upstream

Water quality time series for Big Melen stream (Turkey): its decomposition analysis and comparison to upstream

Fitness-associated consequences of an omnivorous diet for the mangrove tree crab Aratus pisonii

Modeling of Phosphorus Loads in Sugarcane in a Low‐Relief Landscape Using Ontology‐based Simulation

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