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Peer-reviewed Publications |
2005 |
Hagy JD, Boynton WR, Jasinski DA (2005) Modelling phytoplankton deposition to Chesapeake Bay sediments during winter-spring: interannual variability in relation to river flow. Estuarine Coastal and Shelf Science 62(1-2):25–40
Abstract: The often-rapid deposition of phytoplankton to sediments at the end of the spring phytoplankton bloom is an important component of benthic-pelagic coupling in temperate and high latitude estuaries and other aquatic systems. However, quantifying the flux is difficult, particularly in spatially heterogeneous environments. Surficial sediment chlorophyll-a. which can be measured quickly at many locations, has been used effectively by previous studies as an indicator of phytoplankton deposition to estuarine sediments. In this study, surficial sediment chlorophyll-a was quantified in late spring at 20-50 locations throughout Chesapeake Bay for 8 years (1993-2000). A model was developed to estimate chlorophyll-a deposition to sediments using these measurements, while accounting for chlorophyll-a degradation during the time between deposition and sampling. Carbon flux was derived from these estimates via C:chl-a = 75. Bay-wide, the accumulation of chlorophyll-a on sediments by late spring averaged 171 mg m(-2), from which the chlorophyll-a and carbon sinking fluxes, respectively, were estimated to be 353 mg m(-2) and 26.5 gC m(-2). These deposition estimates were similar to50% of estimates based on a sediment trap study in the mid-Bay. During 1993-2000. the highest average chlorophyll-a flux was in the mid-Bay (248 mg m(-2)), while the lowest was in the lower Bay (191 mg m(-2)). Winter-spring average river flow was positively correlated with phytoplankton biomass in the lower Bay water column, while phytoplankton biomass in that same region of the Bay was correlated with increased chlorophyll-a deposition to sediments. Responses in other regions of the Bay were less clear and suggested that the concept that nutrient enrichment in high flow years leads to greater phytoplankton deposition to sediments may be an oversimplification. A comparison of the carbon flux associated with the deposition of the spring bloom with annual benthic carbon budgets indicated that the spring bloom did not contribute a disproportionately large fraction of annual carbon inputs to Chesapeake Bay sediments. Regional patterns in chlorophyll-a deposition did not correspond with the strong regional patterns that have been found for plankton net community metabolism during spring. (C) 2004 Elsevier Ltd. All rights reserved.
Keywords: phytoplankton; chlorophylls; sinking; deposition; sediments; sediment; traps; Chesapeake Bay; long-island sound; benthic response; residence times; turbulent flows;; trap biases; bloom; ecosystem; dynamics; biomass; diatom
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Conference Proceedings |
2006 |
Wang P, Linker L, Jasinski DA, Dennison WC, Shenk G, Batiuk R (2006) Forecast of Summer Anoxia in the Chesapeake Bay. In: Spaulding ML (ed) Estuarine and Coastal Modeling: Proceedings of the Ninth International Conference on Estuarine and Coastal Modeling held in Charleston, South Carolina, from October 31 to November 2, 2005. American Society of Civil Engineers, 874 pp
Abstract: This paper presents a forecast model to predict summer anoxia in the Chesapeake Bay using preceding spring information of nitrogen and phosphorus loads, water temperature, algae concentration, and freshwater flows. It's based on a regression of over 20 years of observed data. The use of anoxic intensity, a DO-normalized anoxic volume, versus the traditional anoxic volume as the forecasting estimator is described. Anoxic volume can be influenced by partial mixing or other factors that sometimes causes a higher anoxic volume but with actually less intensity in the anoxic condition. This paper recommends using quadratic terms of separate nitrogen and phosphorus loads, and other conditions such as freshwater flows from the upper Bay and water temperature, as regressors. More than 18 regression equations with different combinations of explanatory variables were compared, and the importance of their effects on the anoxia forecast is discussed.
Keywords: Chesapeake Bay; Forecasting; Nitrogen; Phosphorus; Water pollution
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Book Contributions |
2010 |
Jasinski DA, Longstaff BJ, Wicks EC (2010) Chapter 7: Ecological forecasts: building a predictive capacity to guide management. In: Longstaff BJ, Carruthers TJB, Dennison WC, Lookingbill TR, Hawkey JM, Thomas JE, Wicks EC, Woerner JL (eds) Integrating and Applying Science: A handbook for effective coastal ecosystem assessment. IAN Press, Cambridge, MD, p 97–110
Abstract: This chapter provides an overview of the process of developing, producing, and releasing an ecological forecast, which is supported by statistical analysis and models that underpin forecasts (see Chapters 8 and 9). Areas discussed in this chapter include why you may consider conducting ecological forecasting, some of the essential elements of a forecasting program, and some of the challenges you may face. Forecasting dissolved oxygen conditions in Chesapeake Bay, which aims to pull together all the essential elements of an effective forecasting program, is used as a case study. Ecological forecasting in this chapter is addressed as an operational component of ecosystem management and not as an exercise in analysis and modeling.
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Science Communication PublicationsBrowse all publications for David Jasinski on IAN Press OR view individually: |
2007 |
| Integration and Application Network (2007) A summer of poor water clarity, algal blooms, and fish kills. IAN Press, Cambridge, MD, 4pp (Newsletter) |  |
| Integration and Application Network (2007) Supporting management through an annual cycle of ecological forecasting and assessment. IAN Press, Cambridge, MD, 1pp (Poster) |  |
| Integration and Application Network (2007) Chesapeake Bay 2007: Summer Ecological Forecast. IAN Press, Cambridge, MD, 4pp (Newsletter) |  |
| Wicks EC, Jasinski DA and Longstaff BJ (2007) Breath of Life: Dissolved oxygen in Chesapeake Bay. IAN Press, Cambridge, MD, 4pp (Newsletter) |  |
2005 |
| Integration and Application Network (2005) MASC Newsletter 2 - Ecological Forecast, Summer 2005. IAN Press, Cambridge, MD, 4pp (Newsletter) |  |