von Gönner, Julia; Gröning, Jonas; Grescho, Volker; Neuer, Lilian; Hänsch, Veit G; Gottfried, Benjamin; Molsberger-Lange, Eva; Wilharm, Elke; Liess, Matthias; Bonn, Aletta (2024): Stream monitoring data from the citizen science project FLOW, 2021 - 2023 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.971638
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Published: 2024-08-30 • DOI registered: 2024-09-28
Abstract:
This dataset contains the results of the citizen science stream monitoring project FLOW (www.flow-projekt.de), which aims to complement official freshwater monitoring programs with data on small streams. We provide data for 172 stream sites across Germany, which were monitored by over 90 trained citizen science groups in 2021, 2022 and 2023. For each stream site (i.e., 100m sample section), we list data on stream hydromorphology (according to LAWA, 2019), point measurements of physico-chemical water parameters (i.e., water temperature, oxygen content, ammonium, nitrite, nitrate, phosphate, pH, ion conductivity, flow velocity). The related dataset (DOI) lists recorded benthic invertebrate communities (sampled according to Meier et al., 2006 and identified at least to the family level). Most of the sampled streams (80%) had small catchment areas of less than 30km2 and 83 % of the stream sites were located in agricultural catchments with at least 20 % agricultural land cover (CORINE land cover class 2). 57 % of the stream sites were located in highland streams (primarily types 5, 6, and 7) and 43 % in lowland streams (primarily types 14, 18, 11, and 16). We also provide data on the biological indicator SPEARpesticides (Liess & v.d. Ohe 2005, Liess et al., 2021) for each stream site to assess pesticide exposure and effects based on macroinvertebrate community composition.
The database produced by citizen science groups was characterized by a high degree of accuracy, as results obtained by citizen scientists and professionals were highly correlated for SPEARpesticides index and hydromorphology index values (von Gönner et al., 2024). The dataset is the basis of the following publication: Julia von Gönner, Jonas Gröning, Volker Grescho, Lilian Neuer, Benjamin Gottfried, Veit G. Hänsch, Eva Molsberger-Lange, Elke Wilharm, Matthias Liess, Aletta Bonn: Citizen science shows that small agricultural streams in Germany are in a poor ecological status. Science of The Total Environment, Volume 922, 2024, 171183, ISSN 0048-9697,
Keyword(s):
Related to:
von Gönner, Julia; Gröning, Jonas; Grescho, Volker; Neuer, Lilian; Gottfried, Benjamin; Hänsch, Veit G; Molsberger-Lange, Eva; Wilharm, Elke; Liess, Matthias; Bonn, Aletta (2024): Citizen science shows that small agricultural streams in Germany are in a poor ecological status. Science of the Total Environment, 922, 171183, https://doi.org/10.1016/j.scitotenv.2024.171183
von Gönner, Julia; Gröning, Jonas; Grescho, Volker; Neuer, Lilian; Hänsch, Veit G; Gottfried, Benjamin; Molsberger-Lange, Eva; Wilharm, Elke; Liess, Matthias; Bonn, Aletta (2024): Macroinvertebrate taxonomic data from the citizen science project FLOW, 2021-2023 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.971944
Project(s):
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 01BF2103A: Teilvorhaben BUND: Citizen Scientists erforschen bundesweit die Pestizidbelastung und die Insektendiversität kleiner Fließgewässer
Federal Ministry of Education and Research (BMBF), grant/award no. 01BF2103B: Teilvorhaben UFZ: Citizen Scientists erforschen bundesweit die Pestizidbelastung und die Insektendiversität kleiner Fließgewässer
Coverage:
Median Latitude: 50.970704 * Median Longitude: 10.675013 * South-bound Latitude: 47.856000 * West-bound Longitude: 6.094500 * North-bound Latitude: 53.750000 * East-bound Longitude: 14.909500
Date/Time Start: 2021-04-13T14:00:00 * Date/Time End: 2023-07-13T11:00:00
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Site | Site | Number of sample site | |||
| 2 | Area/locality | Area | Federal state of germany | |||
| 3 | DATE/TIME | Date/Time | Geocode | |||
| 4 | LONGITUDE | Longitude | Geocode | |||
| 5 | LATITUDE | Latitude | Geocode | |||
| 6 | Year of observation | Year obs | a AD | Year of stream sampling event | ||
| 7 | River, classification ecological | River type eco | According to German river typology (LAWA 2019) | |||
| 8 | SPEAR index | SPEAR index | Bioindicator values to quantify pesticide exposure based on the invertebrate communities recorded at each site | |||
| 9 | SPEAR, class | SPEAR class | Categorization of SPEAX_index values into one of the five ecological status classes with 1= high (>0.8), 2= good (>0.6-0.8), 3= moderate (>0.4-0.6), 4 =poor (>0.2-0.4), 5= bad (≤0.2) | |||
| 10 | SPEAR, status | SPEAR stat | Categorization of SPEAX_index values into one of the two states - 1 = 'good', including SPEAR_classes 1 and 2, or 0 = 'poor', including SPEAR_classes 3, 4, and 5 | |||
| 11 | Hydromorphology index | Hydromorphology index | Index values to assess stream hydromorphology calculated according to LAWA, 2019 based on the six subcomponents of hydromorphology watercourse, longitudinal profile, cross profile, substrate, riverbank, landuse | |||
| 12 | Hydromorphology, class | Hydromorphology class | Categorization of morphology_index values into one of the five status classes with 1= unchanged (≤2.2), 2= slightly changed (>2.2-3.4), 3= moderately changed (>3.4-4.6), 4 =strongly changed (>4.6-5.8), 5= completely changed (>5.8) | |||
| 13 | Hydromorphology, status | Hydromorphology stat | Categorization of morphology_index values into one of the two states - 1 = 'good', including morphology_classes 1 and 2, or 0 = 'poor', including morphology_classes 3, 4, and 5 | |||
| 14 | Watercourse index | Watercourse index | Index value to assess the ecological quality of the water course within the 100m stream sample site according to LAWA, 2019 | |||
| 15 | Long profile index | Long profile index | Index value to assess the ecological quality of the longitudinal profile within the 100m stream sample site according to LAWA, 2019 | |||
| 16 | Cross profile index | Cross profile index | Index value to assess the ecological quality of the cross profile within the 100m stream sample site according to LAWA, 2019 | |||
| 17 | Substrate index | Substrate index | Index value to assess the ecological quality of the stream bed substrates within the 100m stream sample site according to LAWA, 2019 | |||
| 18 | Riverbank index | Riverbank index | Index value to assess the ecological quality of the river bank vegetation within the 100m stream sample site according to LAWA, 2019 | |||
| 19 | Landuse index | Landuse index | Index value to assess the land use in a 100m radius around the stream sample site according to LAWA, 2019 | |||
| 20 | Present weather | ww | Weather on the day of stream sampling event | |||
| 21 | Temperature, air | TTT | °C | Point measurement of air temperature on the day of stream sampling event | ||
| 22 | Water, color | Water c | Color of the stream water (qualitative assessment, i.e., clear, brown, green, turbid) | |||
| 23 | Water, foaming | Water foam | 0=no foam present on the stream water surface, 1=foam present on the stream water surface | |||
| 24 | Water, shiny | Water shiny | 0=no oil film present on the stream water surface, 1=oil film present on the stream water surface | |||
| 25 | Water, smell | Water smell | Smell of the stream water (qualitative assessment, i.e., neutral, odour of rotten eggs, fishy/earthy, mouldy) | |||
| 26 | Indicator, sulfit stain | Indicator sulfit stain | 0=no sulphite stains present on stones in stream bed, 1=sulphite stains present on stones in stream bed | |||
| 27 | Temperature, water | Temp | °C | Point measurement of water temperature on the day of stream sampling event | ||
| 28 | Oxygen, dissolved | DO | mg/l | Point measurement of oxygen content of stream water at sample site | ||
| 29 | Oxygen, dissolved | DO | % | Point measurement of oxygen concentration of stream water at sample site | ||
| 30 | Conductivity, electrical | EC | µS/cm | Point measurement of electrical conductivity of stream water at sample site | ||
| 31 | pH | pH | Point measurement of pH value of stream water at sample site | |||
| 32 | Flow velocity, water | Vel water | m/s | Point measurement of flow velocity of stream water at sample site | ||
| 33 | Ammonium, dissolved | [NH4]+ diss | mg/l | Point measurement of ammonium (NH4) concentration in stream water at sample site | ||
| 34 | Nitrite | [NO2]- | mg/l | Point measurement of nitrite (NO2) concentration in stream water at sample site | ||
| 35 | Nitrate, dissolved | [NO3]- diss | mg/l | Point measurement of nitrate (NO3) concentration in stream water at sample site | ||
| 36 | Phosphate | [PO4]3- | mg/l | Point measurement of phosphate (PO4) concentration in stream water at sample site | ||
| 37 | Chloride | Cl- | mg/l | Point measurement of chloride (Cl-) concentration in stream water at sample site | ||
| 38 | Catchment area | Catch area | km2 | Total catchment area | ||
| 39 | Area, forest | Area forest | km2 | Forest area in catchment | ||
| 40 | Areal extent, urban area | Area urban | km2 | Urban area in catchment | ||
| 41 | Land cover, agriculture | LC agri | km2 | Agricultural land cover in catchment in km2 (CORINE land cover class 2) | ||
| 42 | Land cover, arable | LC arab | km2 | Arable land cover in catchment in km2 (CORINE land cover class 2.1) | ||
| 43 | Land cover, forest | LC forest | % | Percent forest land cover in catchment | ||
| 44 | Areal extent, urban area | Area urban | % | Percent urban land cover in catchment | ||
| 45 | Land cover, agriculture | LC agri | % | Percent agricultural land cover in catchment (CORINE land cover class 2) | ||
| 46 | Land cover, arable | LC arab | % | Percent arable land cover in catchment (CORINE land cover class 2.1) | ||
| 47 | Type | Type | categorization into agricultural streams (>20% agricultural land cover in catchment) and non-agricultural streams (<20% agricultural land cover in catchment) | |||
| 48 | Number percentage | N perc | % | Correct_families: Percentage of macroinvertebrate families correctly identified by the citizen science groups at each of the n = 81 sample sites for which citizen science samples were conserved and reassessed by professional ecologists in the laboratory. | ||
| 49 | SPEAR index | SPEAR index | professional value | |||
| 50 | SPEAR, class | SPEAR class | professional value | |||
| 51 | SPEAR, status | SPEAR stat | professional value | |||
| 52 | Hydromorphology index | Hydromorphology index | professional value | |||
| 53 | Hydromorphology, class | Hydromorphology class | professional value | |||
| 54 | Hydromorphology, status | Hydromorphology stat | professional value | |||
| 55 | Comment | Comment | sites included into the main analysis of the linked manuscript | |||
| 56 | Comment | Comment | sites included into the analysis per monitoring year |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
7990 data points
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