Grantee Research Project Results
2008 Progress Report: Sustainable Coastal Habitat Restoration in the Pacific Northwest: Modeling and Managing the Effects, Feedbacks, and Risks Associated with Climate Change
EPA Grant Number: R833014Title: Sustainable Coastal Habitat Restoration in the Pacific Northwest: Modeling and Managing the Effects, Feedbacks, and Risks Associated with Climate Change
Investigators: Rybczyk, John , Hood, W. Greg , Reyes, Enrique , Khangaonkar, Tarang , Yang, Zhaoqing
Current Investigators: Rybczyk, John , Reyes, Enrique , Hood, W. Greg , Khangaonkar, Tarang , Yang, Zhaoqing
Institution: Western Washington University , Skagit System Cooperative , Battelle Memorial Institute , East Carolina University
Current Institution: Western Washington University , East Carolina University , Battelle Memorial Institute , Skagit System Cooperative
EPA Project Officer: Packard, Benjamin H
Project Period: April 1, 2007 through March 31, 2010 (Extended to March 31, 2012)
Project Period Covered by this Report: April 1, 2008 through March 31,2009
Project Amount: $879,247
RFA: Nonlinear Responses to Global Change in Linked Aquatic and Terrestrial Ecosystems and Effects of Multiple Factors on Terrestrial Ecosystems: A Joint Research Solicitation- EPA, DOE (2005) RFA Text | Recipients Lists
Research Category: Climate Change , Aquatic Ecosystems
Objective:
The overall objective of this proposal is to develop a predictive landscape simulation model, incorporating non-linear feedbacks, of the ecological and geomorphological consequences of climate-induced sea-level rise and river flow alteration in two of the most ecologically significant estuarine systems in Puget Sound, Padilla Bay and Skagit Bay. We will use the model to guide the course of restoration and management efforts, given climate change, as they relate to salmon habitat in Puget Sound.Progress Summary:
As mentioned in the first annual report, we were originally planning to conduct two oceanographic cruises, one to collect hydrodynamic data and one to collect total sediment data. Due to increased costs, we decided to combine both cruised into one, and to collect the data during a high flow period. We developed a comprehensive field data collection program for the hydrodynamic component (Table 1). The purpose of this field data collection program is to collect synoptic oceanographic data in the Skagit-Padilla-Snohomish Channel system for model calibration. Physical parameters proposed to collect include tidal elevations (pressure gage), currents (ADCP and ADV/S4), salinity, temperature (CTD) time series and vertical profiles and total suspended sediments. The detail layout of the field data program is shown in Figure 1. Oceanographic data was collected in November 2008.
Figure 1. Data collection points for hydrodynamic and sediment data collection.
Comparison of Projected to Completed Research.
The original project timeline is presented below as Table 2. An “x” represents the original projection. An asterisk next to the Task represents a change in the original projection (explanation of change is described below). No asterisk indicates that the task is being completed on schedule.
* Development of sediment transport model: Data collection for model initialization and calibration was delayed unit Year 2. Sediment model development and calibration has been delayed until Year 3.
*Collect data for sediment model: Collected in November or 2008 (Q4).
*Link models: Sediment models have not been developed yet. Model linkage delayed until Year 3.
Journal Articles on this Report : 2 Displayed | Download in RIS Format
Other project views: | All 30 publications | 10 publications in selected types | All 9 journal articles |
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Type | Citation | ||
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Kairis PA, Rybczyk JM. Sea level rise and eelgrass (Zostera marina) production:a spatially explicit relative elevation model for Padilla Bay, WA. Ecological Modelling 2010;221(7):1005-1016. |
R833014 (2008) R833014 (2009) R833014 (Final) |
Exit Exit Exit |
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Yang Z, Khangaonkar T. Modeling tidal circulation and stratification in Skagit River estuary using an unstructured grid ocean model. Ocean Modelling 2009;28(1-3):34-49. |
R833014 (2008) R833014 (2009) R833014 (Final) |
Exit |
Progress and Final Reports:
Original AbstractThe perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.