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Data for: "Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition"

https://doi.org/10.5878/xvy7-q004
This dataset was used for the paper "Simulated riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition". Raw data includes mesocosm stream channel oxygen data, temperature data, and flourometric chl a data. This manuscript is part of a larger project which aims at evaluating how current forest management practices effect ecological functions of headwaters. This specific dataset was collected to answer how fine sediments and light conditions affect algal biofilms in small, boreal waters.
Download data and documentation (7 files / 3.07 MiB)

Data files

  • Chla_channels.txt
    15.04 KiB
  • Chla_streams.txt
    27.65 KiB
  • Oxygen_incubations_for_community_respiration.txt
    28.6 KiB
  • Whole_channel_dissolved_oxygen_data_for_metabolic_rates.txt
    2.59 MiB

Documentation files

  • Methods_section_for_chla_data.pdf
    190.58 KiB
  • Methods_section_for_incubation_and_oxygen_data.pdf
    223.7 KiB
  • README.txt
    3.8 KiB

Citation and access

Data access level:

Creator/​Principal investigator(s):

Research principal:

Principal's reference number:

  • SLU.seksko.2019.4.2-92

Data contains personal data:

No

Citation:

License:

Language:

Method and outcome

Time period(s) investigated:

Variables:

24

Data format/​data structure:

Data collection Experiment

Mode of collection:

Experiment

Description of the mode of collection:

We estimated biofilm biomass as chl α (µg cm-2) in each channel. For all chl α estimates, we used a BenthoTorch, an in-situ, hand-held fluorometric instrument (bbe Moldaenke, Germany). The BenthoTorch estimates chl α and distinguishes between diatoms, green algae and cyanobacteria. Estimates of total chl α from a BenthoTorch compare well with conventional spectrophotometric methods when biofilms are relatively thin, as in our situation. However when quantifying community composition, the BenthoTorch have been shown to overestimate the abundance of diatoms, yet the instrument performs well in factory calibrations against standards. Still, we only used the community composition results to note presence or absence of green algae in the channels. All statistical analyses used the sum of diatoms, green algae and cyanobacteria (i.e. total chl α).

Time period(s) for data collection:

2022-07-01 - 2022-10-31

Temporal resolution:

7 day

Instrument

Name:

BenthoTorch

Type:

Technical instrument(s)

Description of the instrument:

Handheld, in situ fluorometric chla analyser

Data collection Experiment

Mode of collection:

Experiment

Description of the mode of collection:

Each channel was equipped with a miniDOT (Precision Measurement Engineering Inc., USA) to record dissolved oxygen. Metabolism was estimated using the single-station diel oxygen method approach where gross primary production (GPP) and Ecosystem Respiration (ER) was estimated using Bayesian inverse modelling.

Time period(s) for data collection:

2022-07-01 - 2022-10-31

Temporal resolution:

10 minute

Instrument

Name:

miniDOT

Type:

Technical instrument(s)

Description of the instrument:

A miniDOT records dissolved oxygen and is deployed in water

Geographic coverage

Geographic location:

Geographic description:

The experimental channels are located next to Svartberget researchstation outside Vindeln, Västerbotten. The surveyed streams are located outside Nordmaling, Rödånäs, Gräsmyr, Bjurholm and Vindeln.

Administrative information

Responsible department/​unit:

Forest ecology and management

Contributor(s):

  • Lenka Kuglerová - Swedish University of Agricultural Sciences - Forest ecology and management
  • Larry Greenberg - Karlstad University

Funding

Funding agency:

Award number:

2019-01108

Funding agency:

Award number:

300326

Topic and keywords

Standard för svensk indelning av forskningsämnen 2025:

INSPIRE topic categories:

Keywords:

Publications

Citation:

Myrstener, M., Greenberg, L. & Kuglerova L. (2023). Experimental riparian forest gaps and increased sediment loads modify stream metabolic patterns and biofilm composition. Ecosphere.

Contact

Metadata

Version 1
doris
slu
Published:|Updated: