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General Info
SPI
Applications
Partners & Credits
References
Applications of Sediment Profiling Imagery (SPI)
Ecological Interpretations of SPI
Rhoads and Cande (1971) developed sediment profiling cameras 30 years ago to examine
the effects of infauna interacting with sediments at the sediment-water interface. Their
work has led to a better understanding of sediment dynamics from both biological and
geological perspectives. Rhoads and Germano (1986) based their analyses of SPI images on
a model of community succession where life-history attributes and functional relationships
of infauna change along a predictable trajectory, although the species composition may
vary geographically, temporally, or episodically. This model of community succession
began with surface-dwelling "pioneering" species, which were replaced by deeper dwelling
late-succession species. Physical and biological characteristics distinguished each community. For
example, small polychaete tubes at the sediment-water interface often characterize pioneer
communities, while late successional communities often are associated with subsurface
feeding pockets and deep burrows. This paradigm for interpreting SPI images focused on
four issues important to coastal managers, which could be addressed by examining benthic
communities:
- secondary production, particularly with regard to commercially important
species,
- pollutant transfer within food webs,
- accumulation of organic material that could fuel hypoxic events, and
- nutrient cycling related to primary production.
Uses of SPI for Benthic Assessments
Even though coastal managers have used SPI for 30 years, most studies and assessments
of benthic communities do not use this technology. SPI was never promoted as a
replacement for traditional benthic sampling (e.g., grabs and cores). Species lists and
abundance, parameters not measurable with SPI, remain a cornerstone of many benthic
assessments. So while SPI may considerably augment interpretations of benthic community
data, there is not often a compelling argument for adding SPI to a monitoring program.
Most exceptions have focused on coastal management issues that involve dredged material
and hypoxia (see examples below).
A logical extension of this work has been the use of SPI to map habitats (e.g., Great
Lakes, Boyer and Shen 1988; Narragansett Bay, Valente et al. 1992 and Diaz 1995; offshore
areas, Cutter and Diaz 1998; and New York/New Jersey Harbor, this project). Palermo et al.
(1998) used SPI-based habitat maps to examine alternative locations for island CDFs
(confined disposal facilities) and pits for NY/NJ Harbor.
Tracking Dredged Material
During the 1980s, the U.S. Army Corps of Engineers (USACE) and resource agencies
heightened their examination of potential impacts to benthic communities from the
disposal of dredged material. These examinations often require tracking thin layers
of dredged material that would not be detected in standard USACE surveys with a vertical
accuracy of 15 centimeters. SPI is often the most cost-effective means for tracking dredged
material in these situations.
Surveys are typically done in a radial pattern, emanating from the center of a
dredged material disposal area with stations initially placed at short intervals and
then increased to longer intervals near the end of the transect. Freshly placed
dredged material has a distinctive appearance relative to the undisturbed bottom,
and the thickness of this layer is measured to the nearest centimeter across the
SPI camera faceplate. The thickness of this layer coupled with the coordinates for
stations can be plotted to show the footprint of the disposal area and allow inferences
about how the material was placed and any post-placement transport that has occurred.
This type of monitoring is especially important in thin-layer disposal of dredged
material (Wilber 1992), a practice where dredged material is spread into layers believed
to be thin enough to allow many benthic organisms to survive. Such practices typically
have a goal of placing dredged material in layers no thicker than 15 centimeters,
which corresponds with the accuracy limit of industry-standard bathymetric
survey practices.
Monitoring Disposed Dredged Material
Material dredged from harbors and navigation channels is often placed in underwater
disposal sites by ports and the USACE. These groups, as well
as resource agencies and the public, are concerned about the fate of that material,
the benthic communities impacted by the disposal, and the fish and crustaceans that
feed upon those benthos. In response to this concern, monitoring occurs to collect
information critical to future management decisions. The Disposal Area Monitoring
System (DAMOS) is one such monitoring program, and SPI plays a critical role in this
program (Germano et al. 1994).
The USACE initiated DAMOS in 1977 to monitor disposal sites in New England. Over
the years, DAMOS developed a paradigm that described the succession of benthic
communities on dredged material. Early succession stages are characterized by small
infauna that live at the sediment-water interface, often in small tubes and in high
densities. Worms that feed on detritus accumulating at the sediment-water interface
dominate this successional stage. Bioturbation is limited because the organisms are
small and the food is at the sediment surface. A late succession community is
characterized by deeply burrowing species that Rhoads (1967) called "conveyor belt
species." These animals move particles over several centimeters, creating
water-filled pockets (feeding voids). The presence of these organisms also is
associated with well-oxygenated sediments. In both cases, the organisms that exhibit
these characteristics leave distinctive signatures in the sediment that can be
quantified using SPI.
In the DAMOS program, SPI is used as a cost-effective means to rapidly survey
disposal sites to test whether they are assimilating into the environment according
to the expectations of coastal managers. Deviations from expectations result in more
detailed monitoring that would be too costly to apply on a routine basis and too slow
to provide timely feedback within typical dredging schedules.
Benthic Habitat Quality in Oxygen-Stressed Systems
Nilsson and Rosenberg (1997) used SPI to develop an index of benthic habitat quality
in oxygen-stressed fjord systems, and they closely tied the results of that index to
traditional biological and geological sampling.
As a result, managers can more rapidly
and accurately map the spatial extent of hypoxic conditions within the sediments.
The index assigns points to an image based on the type and extent of signatures that
animals leave in the sediments. High scores are assigned to features that correlate
with considerable bioturbation, and the overall score for an image is the sum of the
feature scores. Calibrating the index to a particular estuary provides a cost-effective
assessment tool that can aid management decisions or direct follow-up studies.
| Benthic Habitat Quality Index developed by Nilsson and Rosenberg (1997) |
| Sediment Level |
Features |
Score |
| Surface |
Fecal pellets Small diameter tubes Large diameter tubes Feeding pit or
mound |
1 1 2 2 |
| Subsurface |
Infauna in image Few burrows (1 to 3) Many burrows (more than 3)
Shallow oxic voids (< 5 cm) Deep oxic voids (> 5 cm) RPD depth < 1.0 cm
RPD depth 1.1 to 2.0 cm RPD depth 2.1 to 3.5 cm RPD depth 3.6 to 5.0 cm
RPD depth > 5.0 cm |
1 1 2 1 2 1 2 3 4 5 |
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