Records of macrozoobenthos organisms from Sasyk Lagoon during 2008-2017

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、330 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。:

Zorina-Sakharova K, Liashenko V (2025). Records of macrozoobenthos organisms from Sasyk Lagoon during 2008-2017. Version 1.1. Ukrainian Nature Conservation Group (NGO). Samplingevent dataset. https://ukraine.ipt.gbif.no/resource?r=aquaticinvertebratesdunayua&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 Ukrainian Nature Conservation Group (NGO)。 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: 575a1350-405a-4f5c-bf59-6c241fa30fb0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Ukrainian Nature Conservation Group (NGO) が、このリソースをパブリッシュしました。

キーワード

Samplingevent; Danube; Sasyk lagoon; Odesa; Ukraine; steppe; invertebrates; aquatic fauna; sampling; biodiversity; molluscs; insects; arthropods; Observation

連絡先

Kateryna Zorina-Sakharova

• 最初のデータ採集者

Institute of Hydrobiology of the National Academy of Sciences of Ukraine

Kyiv

UA

https://orcid.org/0000-0001-6159-2642

Volodymyr Liashenko

• メタデータ提供者 ●
• 最初のデータ採集者 ●
• 連絡先

Assistant

Taras Shevchenko National University of Kyiv

Kyiv

UA

volodymyrliashenko1992@gmail.com

https://www.researchgate.net/profile/Volodymyr-Liashenko

https://orcid.org/0000-0001-5156-4963

Oleksii Marushchak

• Custodiansteward(保管者）

junior researcher

I. I. Schmalhausen Institute of Zoology NAS of Ukraine

Vul. B. Khmelnytskogo, 15

01030 Kyiv

UA

ecopelobates@gmail.com

0964882670

https://orcid.org/0000-0001-9380-5593

地理的範囲

The dataset covers the area of Sasyk lagoon within the Odesa administrative region of Ukraine.

生物分類学的範囲

The dataset consists of records of different species of aquatic invertebrates.

時間的範囲

プロジェクトデータ

The full-scale war in Ukraine, started by the Russian Federation on February 24, 2022, has been going on for more than 2 years now. In addition to dire consequences for ordinary people, military and civilian infrastructure, agro-industrial complex and other spheres of life, there are also negative impacts on wildlife. In addition to environmental pollution and direct negative impacts on biodiversity, there is a loss of a large amount of valuable biodiversity data that has been collected by many biologists, conservationists, and national park and preserve staff due to these people being forced to evacuate. During the evacuation, they manage to save some of their work in the form of electronic data, field diaries, etc. In many cases, this is the result of a hasty evacuation. Data left in one or another format in the occupied territories will most likely be destroyed by the occupying forces during looting and shelling. Currently, the number of scientists who have become forced migrants reaches tens of people, and about 30% of national parks and smaller objects of the nature reserve fund are completely or partially occupied or destroyed (for example, the Serebrianskyi Forest). Premises of nature reserves and national parks, which were traditionally the centers of studying biodiversity in the south and east of Ukraine, were captured, looted, and the important information about nature accumulated in them was irrevocably destroyed. An example can be the manor of the Black Sea Biosphere Reserve, where due to flooding after the destruction of the Kakhovka dam in 2023, all printed Annals of Nature, which did not have digitized versions, were lost. However, even now, many scientists continue to work in Ukraine, collecting data on biodiversity, including territories that were de-occupied during the hostilities. The need to document and publish biodiversity records (fungi, plants and animals) for the global scientific community in the form of databases is important for many areas. Such studies, being relatively simple, allow to monitor the meetings of rare species, and therefore to analyze the state of populations within certain geographical units in a timely manner. Such data are indispensable for conducting research on geoinformational modeling of the distribution of species with the aim of more effective conservation. These data, due to their general availability, are important both for researchers from Ukraine and for scientists from all over the world. Today, due to the war, tens and hundreds of thousands of such registrations, presenting years of field work of researchers, may be irretrievably lost. Without this information, Ukraine will not be able to assess environmental losses, which is necessary for calculating the damage caused to our country and calculating the amount of reparations for the Russian aggressor. In other words, without having information, for example, about rare species, before the start of the war, it will be impossible to establish that they disappeared after it. One of the most well-known platforms for saving such data is the GBIF resource - Global Biodiversity Information Facility (https://www.gbif.org). The author of the project is one of the 5 people in Ukraine who have been documenting and creating data sets for uploading to the GBIF platform (through the organization-publisher Ukrainian Nature Conservation Group) for some time. Before the war, the number of published data amounted to more than 200,000 records. At the time of this application, the number of published records reaches almost 500,000. The goal of the project is to mobilize and digitize data on biodiversity registrations of Ukraine from scientists, conservationists and employees of the nature reserve fund, who became forced migrants and who, despite terrible pressure from the occupation forces, managed to save at least part of their records. It is also planned to collect records from people who continue to work in the field of biology and ecology at the moment in Ukraine. The project is a continuation of a similar project that was won and implemented during 2022-2023. As part of this project, 49,929 records (example: https://www.gbif.org/uk/dataset/791a0bbb-bf37-4ef5-b619-17e395334dfa) of biodiversity were collected and published from the entire territory of Ukraine, including the temporarily occupied territory (individual finds from the territories of other countries were also published). These data have been published in 16 datasets and are currently officially available on theGBIF platform. The findings were the result of the digitization of the dataset authors' own findings from previous years of research (the Chornobyl zone, the Azov region, the chalk outcrops of the Luhansk region, etc.), the digitization of literary sources that are currently only available in printed form (materials from the "Askania Nova" biosphere reserve, the results of geobotanical descriptions, "grey literature", etc.), collection of "citizen science" information. Based on the data published as part of the project, a number of scientific articles have been published, and several more are in the process of preparation. Biodiversity monitoring programs are ongoing in the deoccupied territories, which are based, among other things, on the data published as part of the previous project. They were also actively used during the assessment of the impact of the war on the environment (for example, during the study of the impact of the destruction of the Kakhovka HPP on the ecosystems below the Dnieper River and forecasting the possible consequences of this disaster for nature). During the new stage of the proposed project, it is planned to collect, digitalize and publish on GBIF (https://www.gbif.org/uk/publisher/ca2fd897-6108-4361-91f8-b39dc8d12d13) a total amount of 30,000 records, that were not previously published. These points will include the data from scientists who currently work in Ukraine. The data will cover entire territory of Ukraine with a species focus of deoccupied and occupied territories. All the data published within the project, will have open access for the global scientific community and Ukrainian scientists who work on the assessment of impact of war on Ukrainian biodiversity. The participants of the project (12 people) will be Ukrainian scientists (including young scientists who require special support), environmentalists and staff of objects of nature reserve fund. Also, special attention will be paid to the data collected from the objects of nature reserve fund that are situated near the areas of military actions in the north (Rivne, Zhytomyr, Kyiv, Chernihiv regions, that were places of active military actions in 2022), east (Sumy, Kharkiv, Luhansk, Donetsk regions) and south (Zaporizhzhia, Kherson, Mykolaiv, Dnipropetrovsk regions) areas of Ukraine. During the creation of the datasets, the participants will undergo special training in a form of webinars and individual consultations. Results of the project will include: published datasets, maps of the records covering the territory of Ukraine, number of citations of the data from the datasets in world scientific literature, number of trained people who will continue to collect and publish their data in the future.

プロジェクトに携わる要員:

Oleksii Marushchak

• 連絡先

https://orcid.org/0000-0001-9380-5593

収集方法

Samples were collected by bottom-grabbers or hand samplers with a working area of 100 cm2. The upper layer of the bottom sediments (up to 5 cm) was selected for the study. The samples were washed through a sieve with a mesh size of 1 mm2, fixed with a 4% formaldehyde solution and transported to the laboratory to determine the species composition. The database contains mostly finds identified to species or genus. Geographical locations were indicated by GPS-navigator in decimal degrees according to the WGS84 system. The nomenclature follows the GBIF database.

Method step description:

1. Conducting the field surveys on the stationary points.
2. Collecting of the samples.
3. Cameral processing of the samples.
4. Identification of the findings to speciefic or higher nomenclature levels.
5. Georeferencing.
6. Organizing of the dataset according to the Darwin Core standards.

追加のメタデータ