Chironomids and oligochaetes in the subalpine Lake Maggiore littoral area: a first dataset

Registro biológico
Última versión publicado por Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque el ene. 11, 2023 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

Datos como un archivo DwC-A descargar 600 registros en Inglés (15 KB) - Frecuencia de actualización: cuando sea necesario
Metadatos como un archivo EML descargar en Inglés (15 KB)
Metadatos como un archivo RTF descargar en Inglés (17 KB)

Descripción

The data set was developed at CNR-IRSA during the activity of the Project Interreg Italy-Switzerland project ParchiVerbanoTicino funded by the European Regional Development Fund (ERDF, ID: 481668). Data are organised in a systematic and coherent way according to Darwin Core Standards. Occurrence records of chironomids (Insecta, Arthropoda, Diptera, Chironomidae) and Oligochaeta (Annelida, Clitellata) in Lake Maggiore were collected along the shores at depths comprised between 50 and 120 cm at three sampling sites located in protected areas: two sites in Italy and one in Switzerland.<br> The lake belongs to the national (LTER-Italy), European (LTER-Europe) and International (ILTER) long-term ecological research (LTER) networks.

All 600 occurrence records are georeferenced. The data set presents a total of 373 records of Chironomids larvae and 227 of Oligochaetes sampled in summer-autumn period during 2019-2021. The dataset includes 336 records at species level, 184 at genus level, 73 records at subfamily level.<br> The data set includes 23 columns with each row contains a record of a chironomid or oligochaete taxon with taxonomy information according to the Darwin Core Standard (Wieczorek et al., 2012), a sampling date, location (site, habitat, locality, number of a replicate) and abundance of each taxon.

We believe the strong potential of open access occurrence records in a standardised Darwin Core Archive format in biogeography studies and ecological research in the context of global environmental changes is indisputable.

Registros

Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 600 registros.

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

Zaupa S, Boggero A, Kamburska L (2023): Chironomids and oligochaetes in the subalpine Lake Maggiore littoral area: a first dataset. v1.7. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Dataset/Occurrence. https://cloud.gbif.org/eca/resource?r=cipais&v=1.7

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: dca04d98-5cbc-4765-a2a7-8a2085259acd.  Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.

Palabras clave

Darwin Core; GBIF; chironomids; oligochaetes; occurrence; subalpine Lake Maggiore; INTERREG Project

Contactos

Silvia Zaupa
  • Originador
  • PostDoc
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Angela Boggero
  • Originador
  • Researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Lyudmila Kamburska
  • Punto De Contacto
  • Researcher
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA); National Biodiversity Future Center (NBFC)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Lyudmila Kamburska
  • Punto De Contacto
  • researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Lyudmila Kamburska
  • Punto De Contacto
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA); National Biodiversity Future Center (NBFC)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT

Cobertura geográfica

Lake Maggiore, Northern-western Italy.
Biogeographic region: Alpine (EEA, 2017)
Country: Italy, Switzerland.
Geographical subdivisions: Lombardy and Piedmont regions, Italy; Magadino, Canton Ticino, Switzerland.

Coordenadas límite Latitud Mínima Longitud Mínima [45,664, 8,448], Latitud Máxima Longitud Máxima [46,229, 8,926]

Cobertura taxonómica

The dataset contains 600 records of occurrence of which 227 Annelida (ologochaetes) and 373 Arthropoda (Chironomids) in Lake Maggiore.

Filo Annelida, Arthropoda

Cobertura temporal

Fecha Inicial / Fecha Final 2019-07-02 / 2021-09-10

Métodos de muestreo

Macroinvertebrates sampling was performed following the standard sampling methodologies developed within NIVA and, more recently, ICP WATERS Manuals and Programmes (NIVA 1987; ICP Waters Programme Centre 1996, 2010).
Semi-quantitative macroinvertebrate samples were taken in July, August and September during the period 2019-2021. Two habitats with different conditions at each site (Magadino-MA, Fondo Toce-FT, Sesto Calende-SC) were monitored: a permanently flooded throughout the year (namely wet, and the dataset referred as "W") and a habitat occasionally subjected to drought during low lake water levels (or dry, in the dataset referred as "D"). In total 100 samples for macroinvertebrates were sieved with a 250 μm mesh size to eliminate the finest fractions of sediment and then fixed with ethanol (80 %) and placed in plastic bottles.

Área de Estudio The dataset contains information on 600 records of occurrence of which 227 Annelida (oligochaetes) and 373 Arthropoda (Chironomids). The occurrences were recorded during the summer-autumn season of the period 2019-2022.
Control de Calidad Quality control for taxonomic data: Record validation and cleaning were based on data check for spelling errors, data standardization (check of nomenclatural changes or synonyms), and data cleaning and validation for taxonomic reliability and taxonomic consistency using Fauna Europaea (de Jong et al. 2014).
Quality control for geographic data: Reliability of coordinates was checked in Google maps. Geographic coordinate format, coordinates within country/provincial boundaries, and the absence of anomalous ASCII characters in the dataset were also double checked.

Descripción de la metodología paso a paso:

  1. In the lab the entire samples were sorted under a stereo-microscope and all organisms were subdivided into main taxonomic groups using Italian macroinvertebrate identification guides. Species identification was performed by preparing Faure slides mounts of head for chironomid larvae and front end with chaetae distribution and genital apparatus for oligochaetes (Timm, 2009). Identification was performed to species level whenever possible, using relevant taxonomic keys (e.g. Andersen et al., 2013; Timm, 2009). The genus level was considered when available material (presence of immature or poorly preserved specimens) hinders species identification.
    In total 9685 specimens were identified and 373 records of Chironomidae larvae and 227 records of Oligochaetes were included in the dataset.
    Finally, data for 6 georeferenced points (MA:W, MA:D, FT:W, FT:D, SC:W, SC:D) and data of triplicates (R1, R2, R3) per each point were included in the dataset.

Referencias bibliográficas

  1. de Jong Y, Verbeek M, Michelsen V, Bjørn P, Los W, Steeman F, Bailly N, Basire C, Chylarecki P, Stloukal E, Hagedorn G, Wetzel F, Glöckler F, Kroupa A, Korb G, Hoffmann A, Häuser C, Kohlbecker A, Müller A, Güntsch A, Stoev P, Penev L, 2014. Fauna Europaea - all European animal species on the web. Biodiversity Data Journal 2:e4034.
  2. Wieczorek J, Bloom D, Guralnick R, Blum S, Döring M, Giovanni R, Robertson T, Vieglais D, 2012. Darwin Core: an evolving community-developed biodiversity data standard. PloS One 7(1):e29715.
  3. Timm T, 2009. A guide to the freshwater Oligochaeta and Polychaeta of Northern and Central Europe. Mauch Verlag, Dinkelscherben:235 pp.
  4. Andersen T, Cranston PS, Epler JH (eds), 2013. Chironomidae of the Holarctic Region: Keys and diagnoses. Part 1 - Larvae. Insect Systematics and Evolution Supplements (formerly Entomologica Scandinavica Supplement) 66:573 pp.
  5. Saidi H, Ciampittiello M, Dresti C, Ghiglieri G, 2013. Observed variability and trends in extreme rainfall indices and Peaks-Over-Threshold series. Hydrology and Earth System Sciences Discussions, 10(5):6049-6079. https://doi.org/10.5194/hessd-10-6049-2013
  6. Boggero A, Kamburska L, Zaupa S, Ciampittiello M, Paganelli D, Cifoni M, Rogora M, Di Lorenzo T, 2022. Sampling and laboratory protocols to study the effects of water-level management on the littoral invertebrate fauna in deep and large temperate lakes. Journal of Limnology 81(s2):2073. https://doi.org/10.4081/jlimnol.2022.2073

Metadatos adicionales

Identificadores alternativos dca04d98-5cbc-4765-a2a7-8a2085259acd
https://cloud.gbif.org/eca/resource?r=cipais