Australian Coastal Sediment-Water Nutrient Exchange Data
Updated 3mo ago
2filesPDF
Available on 1 platform
Sign in to view source links and access this dataset
Description
Geoscience Australia Data provides a review and analysis of sediment-water interaction data from Australian coastal environments, last updated March 2026. The dataset focuses on the diagenesis of carbon, nitrogen, phosphorus, iron, and silicon at the sediment-water interface and its implications for water quality. It includes findings from benthic chamber studies, such as net benthic respiration and nutrient flux calculations, and reports on total organic carbon content in various Australian sediments.
Use Cases
Modeling nutrient fluxes (N, P, Si) to the water column based on benthic chamber study results.
Analyzing controls on water quality based on described interactions between benthic processes and sediments.
Investigating organic matter source indicators based on described TOC:TN and TOC:TP ratios in sediments.
Studying the role of iron as an intermediary in nitrification/denitrification and its control on phosphorus fluxes.
Strengths
Includes data from the Port Phillip Bay environmental study, a specific Australian case.
Reports measured TOC content ranging from <1% to 15% wt across different Australian sediment types.
Focuses on multiple key nutrient cycles (C, N, P, Fe, Si) and their interactions.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
Geoscience Australia Data
Collection Method
Review of limited Australian data and results from benthic chamber studies.
Time Range
null
Freshness
Last updated 2026-03 25 16:54:53.302221; freshness should be verified.
Geography
Australian coastal environments, including Port Phillip Bay, estuarine and shelf sediments, a coastal lake in Western Australia, and mangrove sediments in tropical Queensland.
Data is presented in HTML and PDF formats, which may require extraction for computational analysis.