Published April 5, 2022 | Version 2

Submerged aquatic vegetation and nitrogen retention data from 2012 to 2017 in lake Saint-Pierre, Saint Lawrence River

  • 1. Université de Montréal
  • 2. Environment and Climate Change Canada
  • 3. Concordia University

Description

Here we provide seven datasets that describes plant biomass (2012 to 2016), environmental variables and nitrogen retention time series (2012 to 2016) in a submerged aquatic vegetation (SAV) meadow at the confluence of two agricultural tributaries (Saint-François and Yamaska) with the St. Lawrence River in southern Lake Saint-Pierre.

Version 2 adds the dataset 6 and 7.

The seven datasets are:

1) Growing season (June 21 to September 22) daily environmental variables (water level, water temperature, light, tributaries input, and SAV biomass indicator)

2) Mean SAV biomass measured using rake or quadrat samples in the meadow

3) Modelled daily nitrate tributary inputs to the SAV bed

4) Daily nitrate output to the SAV bed estimated from a sensor

5) Daily nitrate budget

6) Hourly nitrate output to the SAV bed and signal decomposition from ensemble empirical mode decomposition (EEMD)

7) Hourly dissolved oxygen and gas exchange velocities at the SAV bed outflow for 2016

Original data comes from Lake Saint-Pierre, either from publicly available government agencies data, from a project led by the Groupe de recherche interuniversitaire en limnologie (GRIL, 2012-2015) and by Morgan Botrel Ph.D. candidate (2016-2017, Université de Montréal) or from Christiane Hudon (ECCC). Data were created for an article on climate-driven variation in nitrogen retention, led by Morgan Botrel and supervisor Roxane Maranger, with Christiane Hudon, James B. Heffernan and Pascale M. Biron (https://doi.org/10.1029/2022WR032678).

Files

1-Growing_season_timeseries.csv

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Additional details

Related works

Is derived from
10.5281/zenodo.6784490 (DOI)
Is described by
Peer review: 10.1029/2022WR032678 (DOI)
Preprint: 10.1002/essoar.10511089.1 (DOI)