說明
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 1,295 筆紀錄。
亦存在 2 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。
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。:
Di Capua I, Marcucci A, Longobardi L (2026). Zooplankton data from LTER MareChiara site in the Gulf of Naples, Mediterranean Sea, (Jan 1984-Dec 2024). Version 1.1. Stazione Zoologica Anton Dohrn. Samplingevent dataset. https://ipt.gbif.it/resource?r=zoogon&v=1.1
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 Stazione Zoologica Anton Dohrn。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.
GBIF 註冊
此資源已向GBIF註冊,並指定以下之GBIF UUID: 614ee357-1329-4d5b-8bb8-b51910224382。 Stazione Zoologica Anton Dohrn 發佈此資源,並經由GBIF Italy同意向GBIF註冊成為資料發佈者。
關鍵字
Samplingevent; zooplankton; LTER; Mediterranean; time series; copepoda; biodiversity; Naples Gulf; Digital Twin of the Ocean; Observation
聯絡資訊
- 元數據提供者 ●
- 出處 ●
- 連絡人
- 出處
地理涵蓋範圍
Fixed sampling station MareChiara (LTER-MC), Gulf of Naples, Italy, approximately 2 nautical miles offshore, along the ~75 m isobath, at the boundary between eutrophied coastal waters and oligotrophic Tyrrhenian waters.
| 界定座標範圍 | 緯度南界 經度西界 [40.81, 14.25], 緯度北界 經度東界 [40.81, 14.25] |
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分類群涵蓋範圍
Marine mesozooplankton collected in the Gulf of Naples. The dataset includes 418 taxa from multiple phyla. Copepoda is the most diverse group (335 taxa across 6 orders: Calanoida, Cyclopoida, Harpacticoida, Mormonilloida, Siphonostomatoida, Monstrilloida), with 149 species identified. Other groups include Appendicularia, Chaetognatha (Sagittoidea), Thaliacea, Hydrozoa, Siphonophora, Mollusca, Malacostraca, Echinodermata, Annelida (Polychaeta), Ctenophora, Bryozoa, and meroplanktonic larvae. Taxonomic identifications follow WoRMS nomenclature.
| Phylum | Mollusca, Echinodermata, Annelida, Ctenophora, Bryozoa |
|---|---|
| Class | Copepoda, Appendicularia, Sagittoidea, Thaliacea, Hydrozoa, Malacostraca |
時間涵蓋範圍
| 起始日期 / 結束日期 | 1984-01-26 / 2024-12-12 |
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計畫資料
The MareChiara Research Program was established in 1984 by the Stazione Zoologica Anton Dohrn (SZN) at a fixed station in the Gulf of Naples, Italy. Since 2006 the site has been part of the Long-Term Ecological Research network (LTER-MareChiara, LTER-MC; LTER EU-IT061). The ZOOGoN-40Y dataset integrates zooplankton data collected over four decades (1984–2024), supported by the DTO-BioFlow Financial Support to Third Parties grant under the European Union Horizon Europe Programme, aimed at establishing a sustained flow of biodiversity data to the Digital Twin of the Ocean.
| 計畫名稱 | Long-Term Ecological Research MareChiara |
|---|---|
| 研究設計描述 | Long-term fixed-station monitoring design. Zooplankton sampled by vertical net tows at a single geographic station (MareChiara, Gulf of Naples) at regular intervals since 1984. Sampling frequency ranged from fortnightly to weekly depending on the period. The dataset covers 1,295 individual sampling tows across 40 years. |
| Project Award |
Digital Twin of the Ocean - BioFlow (DTO-BioFlow) European Commission |
參與計畫的人員:
取樣方法
Vertical net tows from 50 m depth to the surface using standardized plankton nets.
| 研究範圍 | Fixed sampling station MareChiara, Gulf of Naples, Italy, approximately 2 nautical miles offshore, along the ~75 m isobath, at the boundary between eutrophied coastal waters and oligotrophic Tyrrhenian waters. Temporal extent: 26 January 1984 to 12 December 2024. |
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方法步驟描述:
- Zooplankton samples were collected at the fixed LTER station MareChiara (Gulf of Naples, 40.81°N, 14.25°E) aboard the Research Vessel R/V Vettoria. Vertical net tows were performed from 50 m depth to the surface at a retrieval speed of 0.7-1.0 m/s. Two net types were used: an Indian Ocean standard net (mouth area 1 m2, diameter 113 cm, mesh aperture 200 µm) from 26 January 1984 to 2 February 2016, and a WP2 standard net (mouth area 0.25 m2, diameter 57 cm, mesh aperture 200 µm) from 18 February 2016 onwards. Sampling frequency was fortnightly (1984–1991), weekly (1995–2016), and fortnightly to monthly (2016–2024). There is a gap in the time series between 1990 and 1 March 1995. From 2016, a calibrated flowmeter (Hydrobios and MF315) was used to measure filtered water volume; from 1984 to 2016, volume was calculated as V = A x L (net mouth area x tow length).
- Two samples were collected at each sampling event: one for species composition and abundance analysis, one for whole mesozooplankton biomass. Samples for species analysis were preserved in seawater-formalin solution (approximately 4% formaldehyde buffered with sodium borate) from 1984 to 1998, and in 95% ethanol stored at 4°C from 1998 onwards.
- Samples were pre-filtered through a 200 µm sieve. Sub-samples were obtained using a Stempel pipette (2-3 replicates of 2.5 or 5 mL), yielding a coefficient of variation of 7-9%. Organisms were counted in a Mini-Bogorov Chamber (10 mL) under a stereomicroscope (Leica M165C). At least 100 specimens of the most abundant taxonomic groups were counted (targeting +/-20% precision at 95% confidence). Rare species found in the remaining sample were noted qualitatively at 0.02 ind. m-3. Zooplankton abundance was expressed as individuals per cubic metre: n x k / V, where n = individuals counted in sub-sample, k = fraction of sample analyzed, V = volume filtered (m3).
- Taxonomic names were harmonized against the World Register of Marine Species (WoRMS) using the worrms R package. It combines historical observations (1984–2015) with newly collected data (2016–2024), ensuring temporal continuity and dataset completeness. A new dataset (1984–2020) were migrated from local storage and digitized; data from 2021 onwards were collected via digital survey forms (KoBoToolbox). Processing and archiving were automated via the ZooGoN R package (v3.0.0). Quality control included: inter-operator verification of approximately 5% of samples; regular calibration of optical instruments; flowmeter verification (minimum 120 revolutions per tow) prior to each deployment. The dataset builds upon this legacy by integrating, curating, and harmonizing zooplankton community data collected over four decades at high taxonomic resolution, following a standardized taxonomic backbone (WoRMS).
額外的詮釋資料
The ZooGoN R package (v3.0.0) used for data processing and archive generation is available at https://github.com/ioledc/ZOOGoN-40Y (GPL >= 3).
| 目的 | |
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| 替代的識別碼 | 614ee357-1329-4d5b-8bb8-b51910224382 |
| https://ipt.gbif.it/resource?r=zoogon |