Ecosystem responses to long-term nutrient management in an urban estuary: Tampa Bay, Florida, USA

Greening, Holly; Janicki, Anthony; Sherwood, Edward T.; Pribble, Ray; Johansson, J.O. R.

doi:10.1016/j.ecss.2014.10.003

Cited by 134 publications

(129 citation statements)

References 39 publications

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“…Still, water quality remained impaired. Monitoring data helped regulators and citizen representatives set new targets and numerical standards for clean water, even expanding regulations to reduce use of lawn fertilizers by a rapidly growing urban population (Greening et al 2014). Tampa Bay eventually achieved clear water.…”

Section: Lessons From Other Ecosystemsmentioning

confidence: 99%

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Facilitating Adaptive Management in California’s Sacramento-San Joaquin Delta

Wiens¹,

Zedler²,

Resh³

et al. 2017

SFEWS

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Section: Lessons From Other Ecosystemsmentioning

confidence: 99%

“…(Greening et al 2014). When scientific studies confirmed that nitrogen was causing the algal blooms, regulations were developed to control point-source inputs from wastewater and electrical power generating plants.…”

Section: Lessons From Other Ecosystemsmentioning

confidence: 99%

Facilitating Adaptive Management in California’s Sacramento-San Joaquin Delta

Wiens¹,

Zedler²,

Resh³

et al. 2017

SFEWS

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“…This reduced point-source pollution to the bay. Greening et al [10] found that the point and nonpoint sources of nitrogen to Tampa Bay were 60.3% and 23.9%, respectively, of the total nitrogen loadings in the 1970s. By the 2000s, the total pollution was reduced by about half, but relative contributions were inverted, with point sources contributing about 19.5% and nonpoint 57.4% to nitrogen discharges into the bay.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Drivers in 11 Gulf of Mexico Estuaries

et al. 2018

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Abstract:Coastal water-quality is both a primary driver and also a consequence of coastal ecosystem health. Turbidity, a measure of dissolved and particulate water-quality matter, is a proxy for water quality, and varies on daily to interannual periods. Turbidity is influenced by a variety of factors, including algal particles, colored dissolved organic matter, and suspended sediments. Identifying which factors drive trends and extreme events in turbidity in an estuary helps environmental managers and decision makers plan for and mitigate against water-quality issues. Efforts to do so on large spatial scales have been hampered due to limitations of turbidity data, including coarse and irregular temporal resolution and poor spatial coverage. We addressed these issues by deriving a proxy for turbidity using ocean color satellite products for 11 Gulf of Mexico estuaries from 2000 to 2014 on weekly, monthly, seasonal, and annual time-steps. Drivers were identified using Akaike's Information Criterion and multiple regressions to model turbidity against precipitation, wind speed, U and V wind vectors, river discharge, water level, and El Nino Southern Oscillation and North Atlantic Oscillation climate indices. Turbidity variability was best explained by wind speed across estuaries for both time-series and extreme turbidity events, although more dynamic patterns were found between estuaries over various time steps.

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“…The bay is now considered a worldwide model for a recovering estuary, and as of 2014, it has met restoration targets related to seagrass coverage Greening and Janicki, 2006;Morrison et al, 2006;Bricker, 2008;Cloern and Jassby, 2009;Duarte et al, 2009;Waycott, 2009;Rabalais, 2010). Significant effort to manage nutrient loading to Tampa Bay began in the 1980s and still continues today through an ad-hoc, public-private partnership termed the Tampa Bay Nitrogen Management Consortium (NMC) (Yates et al, 2011;Greening et al, 2015). Through these regional collaborations, external nitrogen loads have been significantly reduced, and indicators of ecosystem recovery (e.g., reduced chlorophyll-a concentrations, greater seagrass abundance, and enhanced fisheries stocks) are now approaching thresholds documented in the 1950s (Yates et al, 2011;Greening et al, 2015Greening et al, , 2011Greening and Janicki, 2006).…”

Section: Introductionmentioning

confidence: 97%