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

Occurrence
最新版本 published by Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque on 1月 11, 2023 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque

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說明

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.

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 600 筆紀錄。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: dca04d98-5cbc-4765-a2a7-8a2085259acd。  Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque 發佈此資源,並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。

關鍵字

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

聯絡資訊

Silvia Zaupa
  • 出處
  • PostDoc
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Angela Boggero
  • 出處
  • Researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Lyudmila Kamburska
  • 連絡人
  • 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
  • 連絡人
  • researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Lyudmila Kamburska
  • 連絡人
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

地理涵蓋範圍

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

界定座標範圍 緯度南界 經度西界 [45.664, 8.448], 緯度北界 經度東界 [46.229, 8.926]

分類群涵蓋範圍

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

Phylum Annelida, Arthropoda

時間涵蓋範圍

起始日期 / 結束日期 2019-07-02 / 2021-09-10

取樣方法

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.

研究範圍 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.
品質控管 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.

方法步驟描述:

  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.

引用文獻

  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

額外的詮釋資料

替代的識別碼 dca04d98-5cbc-4765-a2a7-8a2085259acd
https://cloud.gbif.org/eca/resource?r=cipais