A long-term (1986-2010) phytoplankton dataset from the LTER-Italy site Lake Candia

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、10,120 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Oggioni A, Ruggiu D, Morabito G, Pugnetti A, Sparber K, Cozza R, Panzani P, Ruffoni T, Austoni M (2022): A long-term (1986-2010) phytoplankton dataset from the LTER-Italy site Lake Candia. v1.7. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Dataset/Occurrence. https://cloud.gbif.org/eca/resource?r=2022_lake_candia_phytoplankton&v=1.7

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: d8d344af-f873-47b4-b2a0-6054120f5a01が割り当てられています。   Participant Node Managers Committee によって承認されたデータ パブリッシャーとして GBIF に登録されているConsiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque が、このリソースをパブリッシュしました。

キーワード

Occurrence; Darwin Core; GBIF; phytoplankton; LTER-Italy; Lake Candia

連絡先

地理的範囲

Lake Candia belongs to the Italian, European and International Long-Term Ecological Research (LTER) Networks: Candia (https://deims.org/c7fe4203-24b1-4d11-a573-99b99204fede). Data are georeferenced according to WGS 84 datum (EPSG:4326, https://epsg.io/4326.wkt).
Habitat type: Pelagic of lake, water column.
Biogeographic region: Within the Palearctic realm, according to the definitions of the European Environmental Agency (2017), the dataset covers the Alpine European biogeographical regions.
Country: Italy.

生物分類学的範囲

General description: dataset covers phytoplankton assemblages and counts. Phytoplankton counting are based on inverted microscopy following Uthermöl method (Uthermöl, 1958) and biomass of each taxa was estimated from abundance data and original measurements of cell volume (Hillebrand et al., 1999; Sun and Liu, 2003). The dataset covers Cyanobacteria with 1660 occurrences; Plantae with 1302 occurrences (28.1% of Plantae occurrences) of Charophyta and 3324 occurrences (71.8%) of Chlorophyta; Protozoa (426 occurrences); and Chromista with Ochrophyta (1736 occurrences), Cryptophyta (1213 occurrences), Myzozoa (345 occurrences), and Haptophyta (108 occurrences).

時間的範囲

収集方法

Phytoplankton data were collected monthly from 1986 to 2010, at the point of lake maximum depth (7.7 m) as integrated samples of the euphotic water column.
Phytoplankton determinations were carried out on subsamples of the integrated sample preserved in acetic Lugol’s solution. Phytoplankton organisms were counted using the Utermöhl technique (Utermöhl, 1958), classifying the taxa to the species level, whenever possible, using a Zeiss Axiovert 10 inverted microscope at 200x and 400x until 400 cells for the most important taxa were counted. Biomass of each taxa in the sample was estimated from abundance data and original measurements of cell volume (Smayda, 1978; Hillebrand et al., 1999; Sun and Liu, 2003). Finally, total biovolume was calculated from the sum of the biovolumes of each taxon in the sample (cell number x specific cell volume).
All records are validated to the currently accepted nomenclature using the taxonomic backbone of GBIF, Algaebase: Listing of World’s Algae (Guiry and Guiry, 2022), and World Register of Marine Species WoRMS (Ahyong et al., 2022). Life Science Identifiers (LSIDs) are used to identify univocally the taxon and to facilitate data integration and interoperability.
Taxon specialists: Martina Austoni, Radiana Cozza, Giuseppe Morabito, Alessandro Oggioni, Pierisa Panzani, Alessandra Pugnetti, Teresa Ruffoni, Delio Ruggiu, Karin Sparber.

Method step description:

1. Dataset includes 10120 georeferenced occurrences related to 545 taxa. During this 25-year period the lake underwent profound modifications mainly related to the lake biomanipulation activities addressed to the management of aquatic macrophyte and to the evolution of the trophic condition. Making available this dataset represents also a contribution to the current activities of the LTER networks, aiming on accessibility of the time series of the LTER sites, in order to reconstruct trends and dynamics and to identify and compare reliable trends.
2. The dataset was structured based on the Darwin Core standard (DwC, Wieczorek et al., 2012), with each row containing a record of the occurrence of a taxon from a sample. The columns report taxonomical (e.g. scientificName, scientificNameID, taxonRank), geographic (e.g. decimalLatitude, decimalLongitude, geodeticDatum) information, along with density and biovolume for each taxon recognised in the sample.

書誌情報の引用

1. AAhyong S et al., 2022. World Register of Marine Species. Available from https://www.marinespecies.org at VLIZ. Accessed 2022-12-13. doi:10.14284/170.
2. Guiry MD, Guiry GM, 2022. AlgaeBase. World-wide electronic publication, National University of Ireland, Galway. https://www.algaebase.org. Accessed on 2022-12-01.
3. Oggioni A, Silver M, Ranghetti L, Tagliolato P 2022. ropensci/ReLTER: ReLTER v1.1.0.
4. Utermöhl H, 1958. Zur Vervollkommung der quantitativen Phytoplankton-Methodik, Mitt. Int. Ver. Limnol., 9, 38.

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