|Title||Benthic habitat mapping and sediment nutrient cycling in a shallow coastal environment of Nova Scotia, Canada|
|Download||Download (whole publication) |
|Licence||Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences.|
|Author||Bravo, F; Grant, J; Barrell, J|
|Source||Program and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada; by Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; Geological Survey of Canada, Open File 8295, 2017 p. 39, https://doi.org/10.4095/305422 Open Access|
|Publisher||Natural Resources Canada|
|Meeting||2017 GeoHab: Marine Geological and Biological Habitat Mapping; Dartmouth, NS; CA; May 1-4, 2017|
|Related||This publication is contained in Program and abstracts: 2017
GeoHab Conference, Dartmouth, Nova Scotia, Canada |
|Subjects||marine geology; surficial geology/geomorphology; sedimentology; geochemistry; geophysics; marine environments; coastal studies; conservation; marine organisms; marine ecology; resource management;
ecosystems; planning; benthos; sedimentary facies; marine sediments; subtidal deposits; marine sediment geochemistry; modelling; grab samples; marine sediment cores; core samples; geophysical surveys; acoustic surveys, marine; photography; coastal
management; biogeochemistry; Biology|
|Released||2017 09 26|
|Abstract||Sedimentary facies and benthic metabolism of subtidal sediments were studied in a relatively small, but historically active bay in Southern Nova Scotia, Canada. |
Our study approach was based on the
combination of benthic habitat mapping, field/lab experiments, and numerical models of sediment geochemistry. This approach provided an effective mean for ecosystem-scale assessments of key benthic processes (carbon recycling, denitrification, etc.).
The distribution of bottom types and sediment properties was assessed using direct (grabs and core sampling) and remote (video and acoustic) sampling methods. The geo-referencing, classification, and interpolation of sediment properties (acoustic
data, bathymetry, organic matter content, sediment porosity, etc.) allow to produce maps showing their spatial distribution, which instead served as input of numerical models oriented to predict carbon and nitrogen recycling rates at bay-scale. This
approach become relevant given the commonly limited spatial and temporal resolution of biogeochemical measurements.
Results are discussed in regard to the implications for coastal management (maintenance of ecosystem functioning), and
understanding of coastal biogeochemical cycles. Data quality and accuracy of spatially interpolated data was also evaluated, including their impacts on model predictions.
|Summary||(Plain Language Summary, not published)|
The sixteenth annual GeoHab Conference was held this year (2017) at the Waterfront Campus of the Nova Scotia Community College in Dartmouth, Nova Scotia,