説明
This project reports genetic data from the non-indigenous species (NIS) monitoring program in Sweden in 2024, as commissioned by the Swedish Agency for Marine and Water Management, SwAM. The data were collected and submitted by Seanalytics, www.seanalytics.se in collaboration with University of Gothenburg. Sampling locations were situated in ports and marinas along the Swedish coast, including the Bothnian gulf, the Swedish West coast and Southern coast. Three types of samples (water samples, plankton samples, hard bottom samples) were collected during two seasons - late spring and late summer. Species were identified using COI metabarcoding. The dataset includes ASVs (amplicon sequence variants) and their associated metadata. Field protocols are documented in Sundberg et al (2024) DNA-baserad övervakning av arter i akvatisk miljö - verifiering och tillämpning. Naturvårdsverket rapport. pp 44. Rapport 7157. ISBN 978-91-620-7157-8 and Sundberg et al (2022) Genetic methods in environmental monitoring: Early detection and monitoring of non-indigenous species based on DNA. Report to the Swedish Agency for Marine and Water Management 2022:4. ISBN: 978-91-89329-32-4.
This dataset was published via the SBDI ASV portal.
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、102,723 レコードが含まれています。
拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。
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。:
Obst M (2025). National monitoring program for non-indigenous species (NIS), Sweden 2024. Version 1.1. University of Gothenburg. Occurrence dataset. https://www.gbif.se/ipt/resource?r=nis_monitor_2024&v=1.1
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 University of Gothenburg。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: 56d92b6b-308b-45a4-93d4-a41406c91de6が割り当てられています。 GBIF Sweden 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University of Gothenburg が、このリソースをパブリッシュしました。
キーワード
Occurrence; Observation; non-indigenous species; alien species; invasive species; metabarcoding; COI; eDNA; Autonomous Reef Monitoring Structures (ARMS); early warning; range shift
連絡先
- 最初のデータ採集者 ●
- 連絡先
- +46766183827
地理的範囲
Samples were collected along the Swedish coast, including the Bothnian gulf, the Swedish West coast and Southern east coast.
座標(緯度経度) | 南 西 [55.425, 11.702], 北 東 [62.492, 19.07] |
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生物分類学的範囲
説明がありません
Kingdom | Chromista, Animalia, Plantae, Unassigned |
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Phylum | Arthropoda, Nemertea, Ctenophora, Gastrotricha, Oomycota, Echinodermata, Mollusca, Platyhelminthes, Bryozoa, Rotifera, Annelida, Chordata, Rhodophyta, Xenacoelomorpha, Porifera, Nematoda, Chaetognatha, Phoronida, Cnidaria |
Class | Clitellata, Polychaeta, Aves, Sagittoidea, Ascidiacea, Diplopoda, Gastrotricha_X, Maxillopoda, Gastropoda, Demospongiae, Bangiophyceae, Eurotatoria, Pilidiophora, Arthropoda_X, Insecta, Gymnolaemata, Copepoda, Echinoidea, Scyphozoa, Ophiuroidea, Malacostraca, Hydrozoa, Florideophyceae, Hoplonemertea, Chordata_X, Arachnida, Bivalvia, Leptocardii, Mammalia, Phylactolaemata, Collembola, Anthozoa, Turbellaria, Peronosporea, Chromadorea, Xenacoelomorpha_X, Staurozoa, Phoronida_X, Tentaculata, Branchiopoda, Asteroidea |
時間的範囲
開始日 / 終了日 | 2024-05-25 / 2024-09-28 |
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収集方法
All sampling was carried out by Seanalytics. Plankton was collected with a Hydro-Bios Apstein 90µm net, diameter 40 cm opening. Samples were pulled from the bottom upwards, two pulls per site. The samples were collected in a 1-litre jar and fixed with 96% ethanol in an amount that ensured that the final concentration did not fall below 70%. A total of three samples were collected per site. Water samples were taken with Ruttner water sampler, 1 liter at the surface and 1 liter at a depth of 3-6 meters at each location. These samples were combined in a 2-liter disposable container and stored in cool bags with ice packs until filtration. A total of 10 samples from each location were collected. Water samples were filtered (Sterivex 0.45µl) immediately with a peristaltic pump connected to an electric drill and fixed with 95% ethanol and sealed with stoppers. Between rooms, 10% chlorine solution was pumped through and then rinsed thoroughly. This was also done before the blank sample (0.5 liters of deionized water) for contamination control. All samples were stored in a -20° C freezer until extraction.
Study Extent | Samples were collected long the Swedish west coast, in ports and marinas during early summer and autumn 2024 |
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Quality Control | Quality control was performed following the handbook and the Molecular Standard Operation Procedures (MSOP) published by ARMS-MBON (https://data.arms-mbon.org). |
Method step description:
- All sample locations were revisited and hence samples 2x during the year. Analytical protocols followed the steps described by Daraghmeh et al (2025) A Long- Term Ecological Research Data Set From the Marine Genetic Monitoring Program ARMS-MBON 2018–2020. Molecular Ecology Resources, 2025; 0:e14073, https://doi.org/10.1111/1755-0998.14073.
追加のメタデータ
謝辞 | The data collection was funded by the Swedish Agency for Marine and Water Management (SwAM) as well as Länsstyrelsen Västra Götaland (Lst VGR). |
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目的 | Samples of water (eDNA), plankton and settlement plates were taken in ports and marinas along the Swedish coastline during early summer and autumn 2024. A total of 249 samples were taken (including blanks and positive controls), leading to identification of 494 species based on 4264 amplicon sequence variants (ASVs). Scanning for non-indigenous species (NIS) resulted in 873 observations of 33 known and putative NIS as well as 10 crytogenic species. Raw genetic sequence data are submitted to ENA. |
代替識別子 | 56d92b6b-308b-45a4-93d4-a41406c91de6 |
https://www.gbif.se/ipt/resource?r=nis_monitor_2024 |