Freshwater samples in MZNA-INV-FRW: Macroinvertebrate samples from the water quality monitoring network along the Ebro Basin
Citation
Museum of Zoology, University of Navarra M, Escribano N, Control del Estado de las Masas de Agua Superficiales, Oscoz J (2021). Freshwater samples in MZNA-INV-FRW: Macroinvertebrate samples from the water quality monitoring network along the Ebro Basin. Version 2.9. University of Navarra – Department of Environmental Biology. Sampling event dataset https://doi.org/10.15470/gkiznu accessed via GBIF.org on 2024-12-15.Description
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.
Purpose
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.
Sampling Description
Study Extent
The Ebro River Basin is situated in the Northeast of the Spain (Western Europe) and drains an area of 85.362 km2. It is the second largest catchment in the Iberian Peninsula and has 702 tributaries and 110 lakes. from the western Pyrenees to the south of the Iberian Mountains, discharging into the Mediterranean Sea. The prevailing climate of the basin is Mediterranean with an average yearly precipitation of 620 mm. The basin hosts a large number of ecosystems from the head of the Ebro River to its mouth. Eurosiberian communities (beech, grasslands) dominate the highest part of the river whereas Mediterranean ones take over in the middle region until the mouth. The water uses of the basin are principally urban water supply, livestock, farming, and industry. However, the highest water consumption comes from agriculture (4,574 hm3/year) dedicated to 906,000 ha of irrigated crops. Samplings were carried out annually from late spring to early autumn when macroinvertebrate communities reach their highest diversity, although samplings could be postponed to summer in the case of unfavorable environmental conditions such as high rainfall in elevated areas (e.g., the Pyrenees). Likewise, in the event of floods, samplings were conducted 15 days after the incident.Temporary streams were sampled when the conditions were optimal, that is, in the presence of running water. A total of 473 sampling sites belonging to the CEMAS network were sampled from 2005 to 2015. Each sampling site covered a selected 100-m segment of the river having the essential habitats of that river’s stretch. Therefore, all the data obtained was assumed to be representative of that stretch of the river, and all variety of habitats were sampled. The following features were taken into account for selecting a segment: •The presence of rapid-slow running water. •Fluvial Morphology. For example, natural courses were chosen over channeled water. •Vegetation cover. Shady areas were avoided if they were not characteristic of the stretch. •Areas near bridges and weirs were avoided unless they were representative of the stretch. •Accessibility. Sampling sites were accessible and crossable.Sampling
1. Fieldwork At each sampling site, five types of habitats were selected: hard substrates, plant debris, bank bordered by vegetation, submerged macrophytes (if present), sand and other fine sediments. Once identified the microhabitats and the area occupied by each one, the sampling units (kicks) were distributed proportionally to the area of each habitat in the section. As a general rule, twenty sampling units were used. Macroinvertebrates were collected using a hand-net (25 cm x 25 cm aperture, 500-µm-mesh size). In each sampling unit (kick), the substrate was removed 0.5 m in front of the mouth of the net. The final sampled area resulting from the twenty sampling units was approximately 2.5 m2. Samples were fixed in 4% buffered formaldehyde, stored in plastic sealed jars, labeled and brought to the laboratory. Simultaneously, electrical conductivity (precision 1 µS/cm), dissolved oxygen (precision 0.01 mg/L), temperature (precision 0.1°C) and pH were measured using a multi-parameter water quality monitoring system (WTW Multi 340i) at each sampling. Each instrument was calibrated daily during the sampling period. 2. Laboratory work Samples were transported to the laboratory for analysis. The samples were sieved through 5 mm, 1 mm and 0,5 mm mesh sieves. Then, the material was washed with abundant running water, separating the organisms from the remaining debris, gravel, and sand. Finally, the sample was divided into the respective fractions of the sieves: •5mm fraction: all organisms were identified to the taxon level required by the IBMWP index and counted. •1 mm and 0.5 mm fractions: organisms were identified to the taxon level required for the IBMWP index. Samples were divided into subsamples (eg., one-quarter size) and organisms from one subsample were counted.Total abundance of each taxon was estimated from the subsample counts. The remaining sample (eg., the uncounted three-quarters of the sample) was examined for families not caught in the subsample, but organisms were not counted. For further details, see Wrona, Culp & Davies, 1982. •Finally, all the material was stored in plastic jars with 70°ethlyl alcohol, labeled and stored at the MZNA facilities. After processing the samples, the IBMWP and IASPT scores were calculated (Alba-Tercedor, J., P. Jaimez-Cuellar et al., 2002). More details of the sampling protocol can be found in “Protocolo De Muestreo Y Laboratorio De Fauna Bentónica De Invertebrados En Ríos Vadeables” (MAGRAMA, 2013). The environmental variables, the biological indices, and the occurrences can be found in the MeasurementsOrFacts and Occurrence extensions respectively, uploaded together with the Sampling Event dataset.Quality Control
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.Method steps
- 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.
Additional info
The Museum of Zoology (MZNA) was founded in 1980 as a repository of zoological materials originating from research and instructional activities of the Department of Environmental Biology (previously known as the Department of Zoology and Ecology) of the University of Navarra. MZNA stores several million specimens in its climate-controlled facilities. The Museum is a Data Provider for the Global Biodiversity Information Facility (GBIF) and is an Affiliate of the International Commission on Zoological Nomenclature (ICZN). The Museum is also in charge of the curation and management of the Natural History Collections of the School of Science of the University of Navarra (Spain). MZNA is open to researchers around the world, makes loans and accepts deposits.Taxonomic Coverages
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Pyralidaerank: family
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Thremmatidaerank: family
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Hydracarinarank: genus
Geographic Coverages
Bibliographic Citations
- Alba-Tercedor, J., P. Jaimez-Cuellar P., Lvarez M a., Avile´s J., Bonada N., Casas J., Mellado a., Ortega M., Pardo I., Prat N., Rieradevall M., Robles S., Sainz-Cantero CE., Sanchez-Ortega a., Suarez ML., Toro M., Vidal-Abarca MR., Vivas S., Zamora-Munoz C. 2002. Caracterizacion del estado ecologico de rıos mediterraneos ibericos mediante el ındice IBMWP (antes BMWP’). Limnetica 21:175–185. -
- Ariño AH. 1991. Bibliography of Iberian polychaetes: A data base. Ophelia Suppl. 5:647–652. -
- Chapman AD. 2005. Principles and methods of data cleaning. Copenhagen. -
- CHE. 2005. Control del estado de las masas de agua superficiales - Informe de situación Año 2005. Technical report. -
- CHE. 2006. Red De Control Biológico En Ríos Informe Final Ríos Año 2006. Technical report. -
- CHE. 2007. Red de Control Biológico en Ríos Informe Final Ríos Año 2007. Technical report. -
- CHE. 2008. Red de Control Biológico en Ríos Informe Final Ríos Año 2008. Technical report. -
- CHE. 2009. Red de Control Biológico en Ríos Informe Final Ríos 2009. Technical report. -
- CHE. 2010. Red de Control Biológico en Ríos Informe Final Ríos Año 2010. Technical report. -
- CHE. 2011. Red de Control Biológico en Ríos Informe Final Ríos Año 2011. Technical report. -
- CHE. 2012. Explotación de la red de control operativo y de referencia de ríos en la cuenca del ebro en aplicación de la directiva marco del agua. Technical report. -
- CHE. 2013. Explotación de la red de control ecológico de ríos en la cuenca del ebro en aplicación de la directiva marco del agua. Technical report. -
- CHE. 2014. Explotación de la red de control ecológico de ríos de la cuencua del Ebro en aplicación de la Directiva Marco del Agua. Technical report. -
- CHE. 2015. Explotación de la red de control ecológico de ríos de la cuencua del Ebro en aplicación de la Directiva Marco del Agua. Technical report. -
- CHE. 2017.Información Básica de la Cuenca del Ebro. Confederación Hidrográfica del Ebro (CHE): Datis climatológicos. Available at http://www.chebro.es (accessed June 24, 2017). -
- European Parliament & European Council. 2000. Directive 2000/60/EC. -
- GBIF Secretariat. GBIF Backbone Taxonomy. Checklist Dataset. doi:10.15468/39omei. Accessed via http://www.gbif.org/species/5284517 on 23th October 2017 -
- Jáimez-Cuéllar P., Luzón-Ortega J., Palomino-Morales JA., Alba-Tercedor J. 2006. Evaluación Del Estado Ecológico De Los Cursos De Agua . Implicaciones Sobre La Obtención De Datos ( Abundancia ) Según La Directiva Marco Del Agua . :1–59. -
- MAGRAMA. 2013. Protocolo De Muestreo Y Laboratorio De Fauna Bentónica De Invertebrados En Ríos Vadeables. (ML-Rv-I-2013). :23. -
- Oscoz J., Galicia D., Miranda R. 2011. Identification Guide of Freshwater Macroinvertebrates of Spain. DOI: 10.1007/978-94-007-1554-7. -
- Pebesma EJ., Bivand R. 2005. Classes and methods for spatial data in R. News 5. -
- Pebesma E., Sumner M., Hijmans R. 2013. Package ’ rgdal ’. -
- R Core Team. 2016. R: A language and environment for statistical computing. R Foundation for Statistical Computing. -
- Tachet H., Richoux P., Bournaud M., Usseglio-Polatera P. 2000. Invertébrés d’eau douce. Systématique, Biologie. -
- Wickham H. 2007. Reshaping Data with the reshape Package. Journal of Statistical Software 21:1–20. -
Contacts
MZNA Museum of Zoology, University of Navarraoriginator
position: Institution
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: museocc@unav.es
homepage: http://www.unav.edu/web/museodecienciasnaturales
Nora Escribano
metadata author
position: PhD student
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: nescribano@alumni.unav.es
homepage: http://www.unav.edu/departamento/ambiun/
userId: http://orcid.org/0000-0002-7863-4463
Control del Estado de las Masas de Agua Superficiales
metadata author
position: Institution
Confederación Hidrográfica del Ebro
ES
homepage: http://www.chebro.es/
Javier Oscoz
originator
position: Researcher
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: javioscoz@gmail.com
userId: http://orcid.org/0000-0002-8464-9442
Control del Estado de las Masas de Agua Superficiales
originator
position: Institution
Confederación Hidrográfica del Ebro
ES
homepage: http://www.chebro.es/
MZNA Museum of Zoology
curator
position: Institution
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: museocc@unav.es
homepage: http://www.unav.edu/web/museodecienciasnaturales
Concha Durán
author
position: Project management
Confederación Hidrográfica del Ebro
ES
Patricia Navarro
author
position: Project management
Confederación Hidrográfica del Ebro
Ana Amezcua
curator
position: Technician
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: amezcuam@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
Ángel Chaves
curator
position: Technician
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: achaves@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
María Imas
curator
position: Technician
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: museocc@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
Arturo H Ariño
custodian steward
position: Professor
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: artarip@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
userId: http://orcid.org/0000-0003-4620-6445
Rafael Miranda
point of contact
position: Professor
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: rmiranda@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
userId: http://orcid.org/0000-0003-4798-314X
David Galicia
administrative point of contact
position: Professor
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: dgalicia@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
userId: http://orcid.org/0000-0002-2585-9888
Arturo H Ariño
administrative point of contact
position: Professor
University of Navarra
Irunlarrea, 1
Pamplona
31008
Navarra
ES
Telephone: 948425600
email: artarip@unav.es
homepage: http://www.unav.edu/departamento/ambiun/
userId: http://orcid.org/0000-0003-4620-6445
Javier Oscoz
administrative point of contact
position: Researcher
University of Navarra
Navarra
ES
email: javioscoz@gmail.com
userId: http://orcid.org/0000-0002-8464-9442