Swedish Malaise Trap Project (SMTP) - Milichiidae excl Phyllomyza

サンプリング イベント
最新バージョン Station Linné により出版 5月 13, 2020 Station Linné
公開日:
2020年5月13日
公開者:
Station Linné
ライセンス:
CC0 1.0

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 109 レコード English で (13 KB) - 更新頻度: irregular
EML ファイルとしてのメタデータ ダウンロード English で (20 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (17 KB)

説明

Occurrences in this dataset on Swedish Insects have been identified from specimens collected from for the Swedish Malaise Project (SMTP), an inventory funded by the Swedish Species Information Centre (ArtDatabanken). These records comprise the foundation for recent estimates on the size and composition of the Swedish insect fauna, published herein as sample-based datasets.

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、109 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。

Event (コア)
109
Occurrence 
150

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。:

Karlsson D, Ronquist F (2020): Swedish Malaise Trap Project (SMTP) - Milichiidae excl Phyllomyza. v1.2. Station Linné. Dataset/Samplingevent. http://www.gbif.se/ipt/resource?r=smtp-43&v=1.2

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 Station Linné。 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: cf67cf66-de6f-40dc-9865-814c9551049b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Station Linné が、このリソースをパブリッシュしました。

キーワード

Samplingevent; Sweden; Malaise Trap; Insecta; Diptera; Milichiidae

外部データ

リソース データは他の形式で入手可能です。

連絡先

Dave Karlsson
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
  • Managing Director
Station Linné
Farjestaden
SE
Fredrik Ronquist
  • 最初のデータ採集者
  • 連絡先
  • Professor
Swedish Museum of Natural History
Stockholm
SE
Kevin Holston
  • データ提供者
  • メタデータ提供者
  • Curator
Swedish Museum of Natural History
Stockholm
SE
Manash Shah
  • プログラマー
  • System Architect
Swedish Museum of Natural History
Stockholm
SE
Markus Skyttner
  • プログラマー
Swedish Museum of Natural History
Stockholm
SE
Emily Hartop
  • メタデータ提供者
  • Doctoral Student
Stockholm University
Stockholm
SE
Matthias Forshage
  • メタデータ提供者
  • Senior Assistant
Swedish Museum of Natural History
Stockholm
SE

地理的範囲

The study area is within the political territory of Sweden, including the islands of Öland and Gotland.

座標(緯度経度) 南 西 [55.27, 11.16], 北 東 [69.35, 23.82]

生物分類学的範囲

Separate datasets from the full suite of analyzed species occurrence records correspond to batches of identified samples defined as an “analysis taxon” (Ronquist et al., 2019). In most cases, this refers to a family or subfamily of either Diptera or Hymenoptera; otherwise, the “analysis taxon” represents several to all families in other insect orders. The identifications cover nearly 4,000 species, of which over 600 are new to science.

Kingdom Animalia
Phylum Arthropoda
Class Insecta
Order Diptera

時間的範囲

開始日 / 終了日 2003-06-08 / 2006-11-23
開始日 / 終了日 2007-04-11 / 2009-01-01

プロジェクトデータ

These data apply to the first 165,000 specimens to be identified from SMTP samples, whose determinations were contributed by an international group of taxonomic experts. The data analyzed represent cleaned data files that were made available to the SMTP from collaborating researchers by Spring 2017.

タイトル Size and Composition of the Swedish Insect Fauna
ファンデイング This study was supported by the Swedish Research Council (grant 2014-05901), Formas (grant 217-2004-2101) and the Swedish Taxonomy Initiative, whose support for the Malaise trap inventory, and taxonomic research projects between 2003 and 2017 on the Swedish insect fauna, are the primary sources of reported occurrences.
Study Area Description The sampling area was on the Scandinavian Peninsula, within political borders of Sweden, and included the islands of Öland and Gotland. The altitude range of the trap sites was from near sea level to 900 m. Malaise trap localities ranged from Sandhammaren and Hamburgsund on the south and southwest coasts, respectively, to the northern border of Sweden at Nuolja and Vasikavuoma. Within this area, 73 Malaise traps were placed at 54 sites were selected in the interest of sampling a diversity of habitats meeting criteria for handling logistical (i.e., maintenance) constraints. Most of the project Malaise traps were run continuously from 2003 to 2006; some traps were run only during part of this period or from 2007 to 2009. Detailed data on the trap sites and the samples collected (1919 samples in total) are available in project archives (see also http://www.stationlinne.se/en/research/the-swedish-malaise-trap-project-smtp/). The trap sites were categorized in four biogeographic regions and six habitat classes for the faunal analyses.
研究の意図、目的、背景など(デザイン) Analyses of data from the Swedish Malaise Trap Project employed species lists of the target taxa compiled from submitted lists from collaborating experts and the literature on each group, including species recorded from Sweden in Fauna Europaea. Taxonomic composition of the Swedish fauna was analyzed in terms of the families and orders recognized in DynTaxa (http://dyntaxa.se), the official checklist of the Swedish flora and fauna. At the family level, the three most species-rich insect families (Ichneumonidae, Braconidae and Staphylinidae) were divided into subfamilies to make the family-level units more comparable in size. Of the 127 occurrence data files, 117 include trap abundance data; the remaining ten files report only species presence in samples. Occurrences were regrouped into 79 datasets for analyses, each corresponding to the set of samples for a single taxon or assemblage of taxa (“analysis taxon”). These datasets were imported as SMTP species occurrence records into the project database and transformed to sampling event Darwin Core archives for publication.

プロジェクトに携わる要員:

Fredrik Ronquist

収集方法

Most of the approximately 20 million specimens from SMTP samples were preserved in alcohol, shipped to and stored at Station Linné, Öland. The collecting events range from a few days to several weeks depending on the frequency at which the sampling containers needed to be replaced: shorter time periods characterize spring and summer sampling events, during which there was a higher abundance of most insects. Specimens identified to generate these sample-based datasets are distributed among public entomology collections as vouchers in taxonomic and phylogenetic studies, with primary types housed at the Swedish Museum of Natural History (NRM). Other terrestrial arthropods (e.g., spiders, mites, springtails) and invertebrates (e.g., snails, earthworms) recorded from SMTP samples are not included in this dataset.

Study Extent Malaise trap localities ranged from Sandhammaren and Hamburgsund on the south and southwest coasts, respectively, to the northern border of Sweden at Nuolja and Vasikavuoma. Within this area, 73 Malaise traps were placed at 54 sites were selected in the interest of sampling a diversity of habitats meeting criteria for logistical, maintenance concerns. The altitude range of the trap sites was from near sea level to 900 m.
Quality Control The occurrence datasets returned to SMTP staff were validated and cleaned, with names used for identifications matched to those of the national species checklist (DynTaxa) and the European species checklist (Fauna Europaea).

Method step description:

  1. Raw trap samples were sorted by taxonomy into increasingly restrictive units, resulting in more than 300 taxonomic fractions (see http://www.stationlinne.se/en/research/the-swedish-malaise-trap-project-smtp/taxonomic-units-in-the-smtp/), which were sent to collaborating experts for identification. Over 100 taxonomic experts from around the world were involved in identifying this material, which represents 165,000 specimens. These datasets were reorganized into 79 datasets, each corresponding to a set of samples of a particular taxon or assemblage of taxa (“analysis taxon”) processed by a different expert or group of experts. The analysis taxa mostly correspond to families or subfamilies of Diptera and Hymenoptera, and orders or parts of orders for other insect groups. The data analyzed represent all the cleaned data files that were available in the spring of 2017. In total, there are 127 files, most of which contain abundance data (117 files) but some of which only provide incidence data (10 files). The analyzed information is estimated to represent from 2 to 67 % of the entire catch of each analysis taxon (Table S4). In total, the abundance data comprise 157,225 specimens (30,643 records) identified to 3,916 taxa. The incidence data represent another 1,516 observations and 279 taxa. The incidence data roughly corresponds to 7,800 specimens, if this material contained the same average number of specimens per species and sample as the material covered by the abundance data.

コレクションデータ

コレクション名 NRM Entomology Collection
コレクション名 Entomology Collection, Station Linné
標本保存方法 Alcohol,  Pinned,  Microscopic preparation,  Mounted

書誌情報の引用

  1. Fredrik Ronquist, Mattias Forshage, Sibylle Häggqvist, Dave Karlsson, Rasmus Hovmöller, Johannes Bergsten, Kevin Holston, Tom Britton, Johan Abenius, Bengt Andersson, Peter Neerup Buhl, Carl-Cedric Coulianos, Arne Fjellberg, Carl-Axel Gertsson, Sven Hellqvist, Mathias Jaschhof, Jostein Kjærandsen, Seraina Klopfstein, Sverre Kobro, Andrew Liston, Rudolf Meier, Marc Pollet, Matthias Riedel, Jindřich Roháček, Meike Schuppenhauer, Julia Stigenberg, Ingemar Struwe, Andreas Taeger, Sven-Olof Ulefors, Oleksandr Varga, Phil Withers, Ulf Gärdenfors (2020): "Completing Linnaeus’ Inventory of the Swedish Insect Fauna: Only 5000 Species Left?". PLOS ONE 15(3): e0228561. https://doi.org/10.1371/journal.pone.0228561

追加のメタデータ