1982
DOI: 10.3354/meps008115
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Characterization of Organism-Sediment Relations Using Sediment Profile Imaging: An Efficient Method of Remote Ecological Monitoring of the Seafloor (Remots™ System)

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Cited by 191 publications
(112 citation statements)
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References 15 publications
(20 reference statements)
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“…After equilibration with sediment pore water, the indicator can be optically scanned (excitation and emission) nondestructively through the transparent plate to obtain a two-dimensional ''picture'' of solute distributions. Photometric detection of fluorescence from plate sensors can either be done in the laboratory subsequent to removing the sensor from the sediment or directly in situ using more sophisticated benthic lander technology (Smith et al 1976;Rhoads and Germano 1982;Nilsson and Rosenberg 2000). One such benthic camera system (Hyperspectral REMOTS) is presently equipped for UV excitation/emission scans for detection of autofluorescent anthropogenic contaminants (pyrenes), but has not yet been used to determine specific solute distributions in situ (Rhoads et al 1994).…”
mentioning
confidence: 99%
“…After equilibration with sediment pore water, the indicator can be optically scanned (excitation and emission) nondestructively through the transparent plate to obtain a two-dimensional ''picture'' of solute distributions. Photometric detection of fluorescence from plate sensors can either be done in the laboratory subsequent to removing the sensor from the sediment or directly in situ using more sophisticated benthic lander technology (Smith et al 1976;Rhoads and Germano 1982;Nilsson and Rosenberg 2000). One such benthic camera system (Hyperspectral REMOTS) is presently equipped for UV excitation/emission scans for detection of autofluorescent anthropogenic contaminants (pyrenes), but has not yet been used to determine specific solute distributions in situ (Rhoads et al 1994).…”
mentioning
confidence: 99%
“…For example, a recent study used optically tagged particle tracers (i.e., luminophores [Gerino, 1990]) and traditional coring methods to quantify bioturbation in the Vece Lagoon, and described it with a model that has both diffusive and non-local terms [Mugnai et al, 2003]. Another study combined luminophores with in situ imaging of 2D sediment profiles (i.e., SPI Camera [Rhoads and Germano, 1982]) to obtain high-frequency time-lapse data on macrofaunal particle transport, which were then described using a non-local, non-diffusive model framework [Solan et al, 2004]. Results of these and future similar studies will ultimately enable us to reliably estimate the range of redox oscillation patterns encountered by sediment particles within various environments.…”
Section: Infauna-induced Particle Displacementmentioning
confidence: 99%
“…However, currently these approaches can only be implemented after a direct observation of burrow geometry by X-radiography, resin cast, sediment profile imagery, or computer-assisted axial tomography [Davey, 1994;Furukawa et al, 2001;Michaud et al, 2003;Rhoads and Germano, 1982].…”
Section: D'mentioning
confidence: 99%
“…This index presents four main metrics (1) dissolved oxygen conditions; (2) depth of the apparent RPD; (3) infaunal successional stage; and (4) presence or absence of sedimentary methane. The successional stage was measured with sediment profile images, which characterizes the benthic habitat in relation to physical-chemical features (Rhoads and Germano, 1982). The OSI index has also been used in some studies to map habitat quality (Rhoads and Germano, 1986), to assess physical disturbances and organic enrichment (Valente et al, 1992), and to evaluate the effects of mariculture (O'Connor et al, 1989).…”
Section: 15mentioning
confidence: 99%