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Remote Sensing and Landscape Analysis of Indicators of Estuarine Condition in the Northeastern United States

Principle Investigators: Wilfrid Rodriguez, Department of Natural Resources Science, University of Rhode Island & Peter August, Coastal Institute & Department of Natural Resources Science, University of Rhode Island.

Federal Collaborator:
Norman Rubinstein, Region 1 - Environmental Protection Agency; Department of Natural Resources Science, University of Rhode Island.

Project start date: September 2000
Current status:
Project funding : $84,313 National Park Service

Project summary:

Estuarine environments, some of the most productive and important coastal habitats, are often the primary recipients of landscape-derived nutrients and pollutants from agricultural and urban development of the coastal zone. Our growing population creates ever increasing demands on the embanked floodplain shores of our estuaries. Sustainable development of these resources necessitates further understanding of the complex water-terrestrial interactions occurring both in space and time.

This research focused on four questions pertaining to estuaries in the Virginian Biogeographic Province (Cape Cod to Cape Hatteras): (1) are measures of estuarine water quality the same across study regions; (2) are spatial setting variables and intense rainfall events important in explaining variation in water quality measures; (3) what is the relationship between patterns of land cover and estuarine condition; and (4) is land cover change a good regional indicator of water quality condition for these diverse estuaries.

Estuarine data were extracted from the Environmental Monitoring and Assessment Program (EMAP) and Coastal-2000 surveys. Geographic Information System’s (GIS) neighborhood modeling, land-use/cover change detection of remotely sensed data, cumulative distribution functions and multiple linear regression analyses were used to quantify land - estuarine water quality interactions in three regions representing urban and agricultural gradients along the our research area.

Description of distributions of water quality indicators weighted by estuarine area for each region showed a close relationship between land use and the measure of water quality in surrounding estuarine areas. For example, the estuarine area in the highly urbanized Hudson/Raritan region contained the largest proportion of low dissolved oxygen and exhibited the higher levels of sediment contaminants. Spatial setting variables accounted for the effect of location on measurements of estuarine condition. They were used as surrogate variables of estuarine factors not included in the models (i.e., tidal currents, residence time). After removing for spatial-effects from estuarine condition data, weak but significant relationships were found between total urban area and water quality indicators for the three regions. Biological response, measured by the Benthic Index (EMAP), was significantly explained by de-trended estuarine data. It was also inversely related to total organic carbon, silver, and arsenic in the sediments; while showing a positive relationship to salinity and temperature.

Our results show that: (1) estuarine water quality measures differ among study regions by testing cumulative distribution functions of indicators of water quality within and among regions; (2) spatial setting variables and intense rainfall events explain some of the variability in water quality measures; (3) by removing the spatial effect from estuarine condition data, landscape metrics of total urban areas within a 4-km buffer explain a small, but significant amount of variation in indicators of eutrophication and sediment metals in the composite of three regions. On a regional basis, both urban settings and agriculture have a significant effect in Cape Cod where they explained from 12 to 38% of the variation in sediment metals and organics; and (4) benthic community status in the Cape Cod, Hudson/Raritan, and Delmarva regions, was explained by the Benthic Index relationships to sediment metals and physical conditions such as salinity and temperature.

The effect of spatial setting on indicators of estuarine condition was strikingly high in Delmarva, where distance-to-shore, oceanic and riverine categories significantly explained variability of sediment organics including Fluorant, Dieldrin and PCBs. Lagoonal locations also had a significant negative effect on arsenic, cadmium, and lead, explaining between 32 to 53% of their variation. After removing spatial setting effects from indicators of estuarine condition, we found that effect of land cover change on water quality showed clear pattern differences between Delmarva and the other two regions during the 1984-1992 period.

In Delmarva, land cover change in buffer zones located 6, 8, and 10-km from monitoring stations had a significant effect on the Benthic Index and measures of silver, arsenic, cadmium, and mercury. In Cape Cod, land cover change in the same buffer zones explained approximately 15% of the variation in PHs, dissolved oxygen, and silver. There was no effect of land cover change between 1992-1999 in estuarine condition in Cape Cod and Delmarva, and significant effect in the Hudson/Raritan region.

Student Involvement

Name
Department
Degree
Wilfrid Rodriguez URI Dept. Natural Resources Science Ph.D.
Presentations & Invited Lectures
 
Publications

Rodriguez, W. 2003. Remote Sensing and Landscape Analysis of Indicators of Estuarine Condition in the Northeastern United States. Ph.D. Dissertation. University of Rhode Island. (PDF, 2.1Mb)

Last updated: February 26, 2004 9:14
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