Biological survey of lakes and reservoirs from Sardinia and Piedmont (Italy), a georeferenced dataset from the project LIFE INHABIT

Sampling event
最新版本 published by Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque on 4月 5, 2023 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 831 紀錄 在 English 中 (109 KB) - 更新頻率: 需要時
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說明

We report a georeferenced dataset of a biological survey carried out in lakes and reservoirs in Piedmont and Sardinia regions (Italy), including phytoplankton, macrophytes, macroinvertebrates and fish fauna. This survey was carried out to test the standardised protocols later adopted for biological monitoring in Italy for the assessment of the ecological status of lakes and the ecological potential of reservoirs for satisfying the requirements of the European Water Framework Directive (WFD) Directive 2000/60/EC. Occurrence data have been uploaded to the Global Biodiversity Information Facility (GBIF).

資料紀錄

此資源sampling event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 831 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Event (核心)
831
Occurrence 
3549

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。:

Austoni M, Boggero A, Kamburska L, Lugliè A, Marchetto A, Oggioni A, M. Padedda B, Volta P, Zaupa S (2023). Biological survey of lakes and reservoirs from Sardinia and Piedmont (Italy), a georeferenced dataset from the project LIFE INHABIT. Version 1.9. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Samplingevent dataset. https://cloud.gbif.org/eca/resource?r=inhabit_lakes&v=1.9

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: c50c1582-d527-4ee3-a204-349d8241961a。  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; Italy; phytoplankton; macrophytes; fish fauna; macroinvertebrates; Occurrence; Sampling events

聯絡資訊

Martina Austoni
  • 連絡人
  • Researcher
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Angela Boggero
  • 出處
  • Researcher
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Lyudmila Kamburska
  • 元數據提供者
  • 出處
  • 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
Antonella Lugliè
  • 出處
Università degli Studi di Sassari, Dipartimento di Architettura, Design e Urbanistica; National Biodiversity Future Center (NBFC)
  • via Piandanna 4
07100 Sassari
Sassari
IT
Aldo Marchetto
  • 擁有者
  • 連絡人
  • Researcher
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Alessandro Oggioni
  • 出處
  • Researcher
Consiglio Nazionale delle Ricerche, Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR-IREA)
  • via A. Corti 12
20133 Milano
IT
Bachisio M. Padedda
  • 出處
  • Researcher
Università degli Studi di Sassari, Dipartimento di Architettura, Design e Urbanistica; National Biodiversity Future Center (NBFC)
  • via Piandanna 4
07100 Sassari
Sassari
IT
Pietro Volta
  • 出處
  • Researcher
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Silvia Zaupa
  • 出處
  • PostDoc
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Aldo Marchetto
  • 擁有者
  • 連絡人
  • Director
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
Martina Austoni
  • 連絡人
  • Reseracher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT

地理涵蓋範圍

Sites are distributed in two Italian regions: Sardinia (five reservoirs and the only one natural lake of the island) and Piedmont (five lakes and two reservoirs). The following sites are part of the Long-Term Ecological Research (eLTER) Network: Candia (https://deims.org/c7fe4203-24b1-4d11-a573-99b99204fede), Bidighinzu (https://deims.org/67757ba9-c40c-4e2c-bdad-bc26905a738e) and Sos Canales (https://deims.org/e8374da3-1644-460b-bd4c-bf669514dd22). Data are georeferenced according to WGS 84 datum.
Habitat type: Pelagic and littoral areas of lakes and reservoirs.
Biogeographic region: Within the Palearctic realm, according to the definitions of the European Environmental Agency (2017), the dataset covers two European biogeographical regions: Alpine and Mediterranean.
Country: Italy.

界定座標範圍 緯度南界 經度西界 [38.411, 6.064], 緯度北界 經度東界 [46.619, 18.369]

時間涵蓋範圍

起始日期 / 結束日期 2006-06-22 / 2012-11-07

取樣方法

Sampling was performed from 2006-06-22 to 2012-11-07. More specifically for each Quality Element:
• Phytoplankton: sampling from 23 March 2010 to 28 December 2011
• Macrophytes: sampling from 2 August 2010 to 2 August 2011
• Macrobenthos: sampling from 22 June 2006 to 27 September 2011
• Fish fauna: sampling from 14 November 2007 to 7 November 2012
Phytoplankton was sampled from six to three times at maximum depth point. Macrophytes were sampled along transects from the shore to the maximum depth point were macrophytes were still present. Macroinvertebrate were generally sampled during both stratification and circulation mixing of the lakes and reservoirs periods using a grab on soft sediments along transect connecting the shores to the maximum depths. Sampling was carried out in the form of a stratified sampling, working on transects with sampling sites arranged to give equal coverage of the different habitats and different depths. Each sampling site is located along transects connecting the shore-line to the maximum depth, covering three main characteristic lake areas differing in depth (littoral, sublittoral and profundal). Fish fauna was sampled using both standard nets (Pokorny-Site, Czech Republic) and electrofishing.

研究範圍 The 3549 georeferenced occurrence records at the species level or higher rank have been uploaded to the GBIF platform, for a total of 455 taxa collected during 904 sampling events. The occurrences were recorded during the years from 2006 to 2012.
品質控管 Quality control for geographic data: coordinates were collected by GPS during sampling and verified on topographic maps.
Quality control for taxonomic data: All records are validated using the taxonomic backbone of GBIF and Algaebase: Listing of World’s Algae.

方法步驟描述:

  1. The dataset was built based on scientific papers and several technical reports published in the frame of project LIFE INHABIT (Idromorfologia locale, habitat e Piani di Gestione: nuove misure per migliorare la qualità ecologica in fiumi e laghi sud europei LIFE08 ENV/IT/000413). Sampling procedures followed standardized sampling protocols. Data were gathered in a csv following DwC term names (http://rs.tdwg.org/dwc/terms/).
  2. To describe Sampling Event files, dataset fields’ names were chosen according to Darwin Core (Wieczorek et al., 2012) and include several data columns divided into two CSV sheets (Occurrence and Event) for each Bilogical Quality Element that are Fish fauna, Macrobenthos, Macrophytes and Phytoplankton:
    •Occurrence file, data set includes the following 31 column headers (using DwC term name:
    http://rs.tdwg.org/dwc/terms/): “eventid”, “eventDate”, “occurrenceID”, “basisOfRecord”, “originalNameUsage”, “scientificName“ “decimalLatitude”, “decimalLongitude”, “verbatimCoordinateSystem”, “geodeticDatum”, “countryCode”, “organismQuantity”, “organismQuantityType”, “occurrenceStatus”, “kingdom”, “Phylum”, “Class”, “Order”, “Family”, “Genus”, “specificEpithet”, “infraspecificEpithet”, “taxonRank”, “taxonomicStatus”, “taxonID”, “references”, “identifiedBy”, “verbatimDepth”, “WaterBody”, “locality”, “country”.
    •Event file, data set includes the following 14 column headers (using DwC term name:
    http://rs.tdwg.org/dwc/terms/) “eventide”, “eventDate”, “samplingProtocol”, “sampleSizeValue”, “sampleSizeUnit”, “decimalLatitude”, “decimalLongitude”, “geodeticDatum”, “countryCode”, “country”, “verbatimSRS”, “verbatimLatitude”, “verbatim.Longitude”, “verbatimCoordinateSystem”.
    All records are validated using the taxonomic backbone of GBIF and Algaebase: Listing of World’s Algae

引用文獻

  1. Bianco PG, Delmastro G B, 2011. Recenti novità tassonomiche riguardanti i pesci d'acqua dolce autoctoni in Italia e descrizione di una nuova specie di luccio. Researches on Wildlife Conservation. IGF Publishing, USA. 2(suppl.): 1-13.
    CEN 15204:2006. Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique).
    European Environmental Agency, 2017. Biogeographical regions in Europe. European Topic Centre on Biological Diversity (ETC/BD). Permalink: 3431629fe50049a7b995d125aad9c71d.
    Guiry MD, Guiry GM, 2022. AlgaeBase. World-wide electronic publication, National University of Ireland, Galway. https://www.algaebase.org.
    Hillebrand, H., Dürselen, C. D., Kirschtel, D., Pollingher, U. and Zohary, T. (1999) Biovolume calculation for pelagic and benthic microalgae. J. Phycol., 35, 403–424.
    Sun, J. and Liu, D. Y. (2003) Geometric models for calculating cell biovolume and surface area for phytoplankton. J. Plankton Res., 25, 1331–1346.
    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.

額外的詮釋資料

替代的識別碼 c50c1582-d527-4ee3-a204-349d8241961a
https://cloud.gbif.org/eca/resource?r=inhabit_lakes