Freshwater samples in MZNA-INV-FRW: Macroinvertebrate samples from the water quality monitoring network along the Ebro BasinAcronym: MACRO-CHE
This dataset gathers information about the macroinvertebrate samples collected on rivers and streams of the Ebro River Basin (NE Iberian Peninsula), the second largest catchment in the Iberian Peninsula. The aim was to use freshwater macroinvertebrates to calculate the biological indices required to evaluate the ecological status of the open water bodies within this basin. This dataset is a part of a monitoring network set up by the Confederación Hidrográfica del Ebro (hereinafter CHE). This network was established to fulfill the requirements of the European Water Framework Directive (hereinafter WFD). The collection is composed of 1776 sampling events carried out between 2005 and 2015 at more than 400 sampling sites. Environmental variables at each sampling site were also recorded to characterise the habitat, and can be found in the MeasurementOrFacts extension (eMoF) uploaded along with the sampling event dataset. All measurements were obtained from the CHE portal (CHE, 2017). The Museum of Zoology of the University of Navarra (hereinafter MZNA) curates the material obtained during these samplings. Samples were qualitatively screened for all occurring taxa, and all individuals from all taxa in a quantitative subsample of each sample were counted. Biological indices were calculated to estimate water quality at each sampling site. An occurrence extension is also available gathering the abundance of each taxon within the dataset.
The spatial coverage of this dataset comprises the Ebro River Basin.
The aim of the present dataset is to provide all information from the CEMAS project conducted in the Ebro River Basin from 2005 to 2015.
Specimen identification was carried by Javier Oscoz using suitable literature (Tachet et al., 2000; Oscoz, Galicia & Miranda, 2011). Scientific names were validated according to the GBIF Backbone Taxonomy (GBIF, 2017). All samples were fully analyzed for the entire range of potential taxa. Taxon absences recorded in the dataset are thus true absences as regards to the taxa listed in the IBMWP indices.
The MZNA stores samples from 2005 to 2015 derived from the monitoring network. Field data was digitalized and incorporated into the MZNA database (Ariño, 1991). Unique accession numbers were assigned to each sample.
The dataset was standardized to the Darwin Core standards. Guidelines by Chapman (2005) were followed to check for taxonomical, geographical and temporal errors in the dataset. Coordinates in UTM/MGRS were transformed to the geographic system. The consistency of all records was inspected by overlapping sampling site coordinates with a map of the Ebro Basin (CHE, 2017).
The entire process of debugging the dataset was done with R version 3.3.2 (R Core Team, 2016). Packages used included rgdal (Pebesma, Sumner & Hijmans, 2013), sp (Pebesma & Bivand, 2005) for geographic data and reshape2 (Wickham, 2007) for handling with the dataset.
Selection of sampling sites. The list of sampling sites for each year was given by the CHE.Microhabitat selection at each sampling site.Measurement of environmental variables including electrical conductivity, water temperature, pH and dissolved oxygen.Macroinvertebrate sampling by sweeping in the five microhabitats, proportionally to the microhabitat cover. Samples fixed with 4% buffered formaldehyde.Sampling processing in the laboratory: identification of taxon, count of the number of individuals per taxon and calculation of biotic indices including IBMWP and IASP.Sample storage in the MZNA facilities.Digitalization of the data in the MZNA database.Standardisation of the dataset to Darwin Core standards and publication through the Integrated Publishing Toolkit.
Type of content
Includes: point occurrence data.
MZNA (2017): Freshwater samples in MZNA-INV-FRW: Macroinvertebrates samples from the water quality monitoring network from the Ebro Basin. v1.2. University of Navarra, Museum of Zoology. Dataset/Samplingevent. http://doi.org/10.15470/gkiznu
This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
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Metadata last updated on 2019-03-05 09:09:37.0