DNA metabarcoding data of arthropods collected in different life stages of short rotation coppices (SRC)

サンプリング イベント
最新バージョン Leibniz Institute for the Analysis of Biodiversity Change (LIB) により出版 2月 2, 2026 Leibniz Institute for the Analysis of Biodiversity Change (LIB)

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 141 レコード English で (3 MB) - 更新頻度: unknown
EML ファイルとしてのメタデータ ダウンロード English で (41 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (15 KB)

説明

The dataset comprises presence data of arthropods, but also on the groups 'Annelida', 'Bacillariophyta', 'Ascomycota', 'Basidiomycota', 'Bryozoa', 'Chordata', 'Cnidaria', 'Echinodermata', 'Glomeromycota', 'Haptophyta', 'Mollusca', 'Mucoromycota', 'Nematoda', 'Nemertea', 'Ochrophyta', 'Oomycota', 'Porifera', 'Pseudomonadota', 'Rhodophyta', 'Rotifera' and 'Tardigrada'. The arthropods were collected in four different life stages of short rotation coppices (harvested, young (2 years), mature (3 years) and old (4 years)) using 3 different trapping techniques: branch sampling (BS), coloured canopy Malaise traps (MT) and pitfall traps (PIT). In each life stage, three sets of traps were placed (3 sites per life stage) and activated for two weeks, each in May, June, July and August. Once in a month, a branch sampling was conducted. In the branch sampling, 16 trees within a radius of 20m around the canopy Malaise traps were randomly selected and shaken for 10 s. Arthropods fell on a plastic tarpaulin of 1x1 m that was emptied into a collection bottle where the arthropods were stored in 96.7% ethanol.

The samples were analysed using DNA metabarcoding. In DNA metabarcoding, the Cytochrome Oxidase I-Region was targeted using the primers fwhF2 (forward) and fwhR2n (reverse) from Vamos et al 2017 (https://doi.org/10.3897/mbmg.1.14625) The sequences found in the samples were matched with sequences in the BOLD database. The sequences displayed are already grouped like it is known from OTUs. For this grouping, all sequences with a similarity of 97% were compiled, which means that the grouped sequences finally comprise different genetic variants of the same taxa. For each hit in the database, a plausibility check was performed by comparing the distribution range of a species (calculated from GBIF coordinates) and the trapping locations. For each detection of a sequence in a sample, the number of reads is also given. A flagging system helps the user to estimate the degree of uncertainty arising from each species hit.

This data and the data in the datasets "https://doi.org/10.15468/9pzhm6" and "https://doi.org/10.15468/9pzhm6" belongs to one study.

データ レコード

この sampling event 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、141 レコードが含まれています。

拡張データ テーブルは2 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。

Event (コア)
141
dnaDerivedData 
35766
Occurrence 
35766

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。

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 Leibniz Institute for the Analysis of Biodiversity Change (LIB)。 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: 3fe20fcc-d684-44e6-823a-9121d06be1acが割り当てられています。   GBIF Germany 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Leibniz Institute for the Analysis of Biodiversity Change (LIB) が、このリソースをパブリッシュしました。

キーワード

Samplingevent; Specimen

外部データ

リソース データは他の形式で入手可能です。

ASV-Registry https://doi.org/10.20363/6wdc-yh16 UTF-8 Microsoft Excel

連絡先

Lara Hoffmann
  • 最初のデータ採集者
  • 連絡先
Author, Content Contact, Data Owner
University of Duisburg-Essen
Duisburg
DE
Stefan Stoll
  • 最初のデータ採集者
PI, Data Owner
University of Applied Sciences Trier
Trier
DE
Dominik Buchner
  • 最初のデータ採集者
Author, Data Owner
University of Duisburg-Essen
DE
Birgit Rach
  • データ利用者
Data Curator
Leibniz institute for the Analysis of Biodiversity Change - LIB
Bonn
DE
Birgit Rach
  • データ利用者
Data curator
LIB - Leibniz Institute for the Analysis of Biodiversity Change
DE
University of Duisburg-Essen
Owner institute
DE
University of Applied Sciences Trier
Owner institute
DE

地理的範囲

Near the town Reipoltskirchen, Rhineland-Palatinate, Germany

座標(緯度経度) 南 西 [-90, -180], 北 東 [90, 180]

生物分類学的範囲

説明がありません

Kingdom Animalia
Order Symphypleona, Heteronemertea, Mermithida, Hemiptera, Sarcoptiformes, Opiliones, Philodinida, Sordariales, Pucciniales, Glomerellalles, Tubulaniformes, Polydesmida, Monostilifera, Enchytraeida, Adinetida, Onygenales, Siphonaptera, Ceramiales, Julida, Plectida, Raphidioptera, Blattodea, Microascales, Ixodida, Crassiclitellata, Glomerida, Thysanoptera, Neuroptera, Dermaptera, Parachaela, Anthoathecata, Erysiphales, Ephemeroptera, Araneae, Helotiales, Mucorales, Agaricales, Mesostigmata, Plecoptera, Chordeumatida, Triganglionata, Lepidoptera, Ostropales, Pleosporales, Diptera, Teloschistales, Entomobryomorpha, Glomerellales, Trichoptera, Arthoniales, Geophilomorpha, Polyporales, Neelipleona, Anura, Sporidiobolales, Lithobiomorpha, Eurotiales, Mycocaliciales, Orthoptera, Rhabditida, Lecanorales, Russulales, Hypocreales, Coleoptera, Chaetothyriales, Peltigerales, Mecoptera, Hymenoptera, Thelephorales, Boletales, Peronosporales, Psocodea, Cantharellales, Trombidiformes, Clupeiformes, Stylommatophora, Cystobasidiales, Poduromorpha, Dothideales, Isopoda

時間的範囲

開始日 / 終了日 2022-05-10 / 2022-08-26

プロジェクトデータ

The dataset comprises presence data of arthropods, but also on the groups 'Annelida', 'Bacillariophyta', 'Ascomycota', 'Basidiomycota', 'Bryozoa', 'Chordata', 'Cnidaria', 'Echinodermata', 'Glomeromycota', 'Haptophyta', 'Mollusca', 'Mucoromycota', 'Nematoda', 'Nemertea', 'Ochrophyta', 'Oomycota', 'Porifera', 'Pseudomonadota', 'Rhodophyta', 'Rotifera' and 'Tardigrada'.

タイトル DNA metabarcoding data of arthropods collected in different life stages of short rotation coppices (SRC)
識別子 P142690-DNA-MB_2025
ファンデイング Heinrich Böll foundation (P142690) and Trier University of Applied Sciences: Junior Researcher Fund

収集方法

The arthropods were collected in four different life stages of short rotation coppices (harvested, young (2 years), mature (3 years) and old (4 years)) using 3 different trapping techniques: branch sampling (BS), coloured canopy Malaise traps (MT) and pitfall traps (PIT). In each life stage, three sets of traps were placed (3 sites per life stage) and activated for two weeks, each in May, June, July and August. Once in a month, a branch sampling was conducted. In the branch sampling, 16 trees within a radius of 20m around the canopy Malaise traps were randomly selected and shaken for 10 s. Arthropods fell on a plastic tarpaulin of 1x1 m that was emptied into a collection bottle where the arthropods were stored in 96.7% ethanol.

Study Extent The dataset comprises presence data of arthropods, but also on the groups 'Annelida', 'Bacillariophyta', 'Ascomycota', 'Basidiomycota', 'Bryozoa', 'Chordata', 'Cnidaria', 'Echinodermata', 'Glomeromycota', 'Haptophyta', 'Mollusca', 'Mucoromycota', 'Nematoda', 'Nemertea', 'Ochrophyta', 'Oomycota', 'Porifera', 'Pseudomonadota', 'Rhodophyta', 'Rotifera' and 'Tardigrada'.

Method step description:

  1. The samples were analysed using DNA metabarcoding. In DNA metabarcoding, the Cytochrome Oxidase I-Region was targeted using the primers fwhF2 (forward) and fwhR2n (reverse) from Vamos et al 2017 (https://doi.org/10.3897/mbmg.1.14625) The sequences found in the samples were matched with sequences in the BOLD database. The sequences displayed are already grouped like it is known from OTUs. For this grouping, all sequences with a similarity of 97% were compiled, which means that the grouped sequences finally comprise different genetic variants of the same taxa. For each hit in the database, a plausibility check was performed by comparing the distribution range of a species (calculated from GBIF coordinates) and the trapping locations. For each detection of a sequence in a sample, the number of reads is also given. A flagging system helps the user to estimate the degree of uncertainty arising from each species hit.

書誌情報の引用

  1. Hoffmann L, Stoll S, Rach B (2026). Butterfly abundance data of four different short rotation coppice (SRC) life stages. Version 1.2. Leibniz Institute for the Analysis of Biodiversity Change (LIB). Occurrence dataset https://doi.org/10.15468/9pzhm6 accessed via GBIF.org on 2026-01-30. https://doi.org/10.15468/9pzhm6
  2. Hoffmann L, Stoll S, Huber J, Rach B (2026). Vegetation data of four different short rotation coppice (SRC) life stages. Version 1.6. Leibniz Institute for the Analysis of Biodiversity Change (LIB). Occurrence dataset https://doi.org/10.15468/phmw92 accessed via GBIF.org on 2026-01-30. https://doi.org/10.15468/phmw92

追加のメタデータ

代替識別子 3fe20fcc-d684-44e6-823a-9121d06be1ac
https://biocase.zfmk.de/ipt/resource?r=dna_metabarcoding_data_of_arthropods_src