Kelp Bed Characterization at Batture-aux-Alouettes 2018-2019
Updated 3mo ago
4filesESRI REST
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Description
2018-2019 field study characterizing the kelp bed at Batture-aux-Alouettes near Tadoussac, Quebec. The research involved stratified random sampling across 11 dive sites in 2018 and 429 camera stations in 2019, with 129 stations confirming kelp presence. Data includes biomass estimation, macroalgal species richness, percent cover, and substrate type, linked across three complementary DarwinCore files via an eventID key.
Use Cases
Estimate kelp biomass using quadrat sampling data linked by eventID across the three data files.
Analyze macroalgal species richness and percent cover distribution across shallow, medium, and deep depth strata.
Model the relationship between substrate type and the presence or absence of kelp from 429 camera station observations.
Assess spatial distribution of kelp and other algal species using event location and sampling protocol information.
Strengths
Sampling design includes 429 camera stations and 11 dive sites, providing spatial coverage.
Data is structured in three complementary DarwinCore files with clear linking via an eventID key.
Temporal coverage spans two separate field phases in 2018 and 2019.
Limitations
Raw abundance and biomass assessment data requires direct contact with the author and is not included in the provided files.
Sample sizes for direct quadrat sampling are limited (e.g., 10 stations in 2019).
Camera-based presence/absence data may have lower resolution than in-situ measurements.
Provenance
Source
Fisheries and Oceans Canada
Collection Method
Stratified random sampling using underwater quadrats and camera systems.
Time Range
2018-2019
Freshness
Data reflects field conditions from 2018-2019.
Geography
Batture-aux-Alouettes, near Tadoussac at the mouth of the Saguenay Fjord, Quebec, Canada.
Critical data for abundance and biomass assessment is not in the provided files; users must contact Rénald Belley ([email protected]). Data is split across three linked CSV files requiring joins on the eventID field.