說明
The dataset includes records of 1,711 sightings in the territory of the Samara Forest in the Dnipropetrovsk region, as well as adjacent areas. Fieldwork was conducted during the breeding seasons from 2012 to 2018. The database contains records of 75 bird species. Additionally, records of bird nest findings were included in the database.
資料紀錄
此資源出現紀錄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 1,711 筆紀錄。
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。:
Ponomarenko O, Komlyk Y (2025). Bird communities of the Samara Forest, Dnipropetrovsk region, Ukraine. Version 1.1. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=birdssamarasforest1&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 Ukrainian Nature Conservation Group (NGO)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 3bebd44b-04f7-48e2-ae76-af2c94dbcfee。 Ukrainian Nature Conservation Group (NGO) 發佈此資源，並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence; Dnipropetrovsk region; Ukraine; steppe; forest; Samara river valley; Samara's forest; birds; ornithofauna; Aves; biodiversity; Observation
聯絡資訊
- 元數據提供者 ●
- 出處 ●
- 連絡人
https://orcid.org/0000-0002-2417-4510
- 託管人
地理涵蓋範圍
The dataset represents species findings made in the Dnipropetrovsk region of Ukraine. Most observations took place in the Samara Forest.
| 界定座標範圍 | 緯度南界 經度西界 [48.729, 35.392], 緯度北界 經度東界 [48.798, 35.494] |
|---|
分類群涵蓋範圍
The dataset consists of records of 75 bird species belonging to 33 families (class: Aves).
| Kingdom | Animalia |
|---|---|
| Phylum | Chordata |
| Class | Aves |
| Order | Accipitriformes, Anseriformes, Apodiformes, Bucerotiformes, Caprimulgiformes, Charadriiformes, Columbiformes, Coraciiformes, Cuculiformes, Galliformes, Gruiformes, Passeriformes, Piciformes, Strigiformes |
| Family | Accipitridae, Acrocephalidae, Aegithalidae, Alaudidae, Anatidae, Apodidae, Caprimulgidae, Certhiidae, Columbidae, Corvidae, Cuculidae, Emberizidae, Fringillidae, Hirundinidae, Laniidae, Meropidae, Motacillidae, Muscicapidae, Oriolidae, Paridae, Passeridae, Phasianidae, Phylloscopidae, Picidae, Rallidae, Scolopacidae, Sittidae, Strigidae, Sturnidae, Sylviidae, Turdidae, Upupidae |
時間涵蓋範圍
| 起始日期 / 結束日期 | 2012-05-20 / 2018-06-29 |
|---|
計畫資料
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.
| 計畫名稱 | "Continuation of preservation of data on biodiversity of Ukraine during Russian aggression" |
|---|---|
| 經費來源 | The project is funded by IWM Documenting Ukraine grant 2024. The funds are provided by The Institute for Human Sciences (Institut für die Wissenschaften vom Menschen, IWM). The Institute for Human Sciences (Institut für die Wissenschaften vom Menschen, IWM) is an institute for advanced study in the humanities and social sciences. Its exclusive purpose is to carry out scholarly research and teaching on current topics in contemporary history. |
參與計畫的人員:
取樣方法
Bird presence was recorded both visually and through the recognition of their songs. The studies were carried out using the line transect method [Bibby et al. 1998], with modifications based on Ponomarenko's methodology [Ponomarenko 2017] and curvilinear transects. This approach allowed for comprehensive coverage of the areas and maximized the inclusion of various bird habitats. The line transect method involves the quantitative registration of all bird species encountered along a selected route, where the survey strip serves as an elongated sample plot. This method is ideal for observing both mobile and conspicuous bird species as well as those that can be easily startled. During such surveys, the observer moves along the route, recording all bird species encountered. The method allows for the collection of a large volume of data in a short time, providing a complete list of birds inhabiting the studied area. The optimal walking speed is determined by the local terrain conditions and bird visibility, typically ranging from 0.7 km/h to 1.5 km/h. For more precise species identification or counting, short stops can be made, avoiding regular pauses every few steps. To reduce the likelihood of double-counting the same bird, surveys were conducted at intervals of 40-50 meters. This distance was chosen considering that most birds during the breeding season usually stay within their nesting territories, which protect their offspring and efficient feeding. If necessary, short stops were made to clarify the species or count the number of individuals. For each bird encounter, the coordinates of its observation location were recorded. The GPS navigator indicated geographic locations in decimal degrees according to the WGS84 system. The nomenclature follows the GBIF database.
| 研究範圍 | The materials were collected in the field during the breeding seasons from 2012 to 2018. Bird observations were conducted in the morning hours, from 4:00 AM to 11:00 AM, starting in April and ending in July, under clear and windless weather conditions to achieve the highest accuracy when bird activity is at its peak. |
|---|---|
| 品質控管 | The authors bear full responsibility for the quality of data provided within the published dataset. Both authors are skillfull ornithologists with many years of practical fieldwork. |
方法步驟描述:
- Conducting of field trips to the chosen study sites.
- Observing and identifying of species of birds.
- Fillin in the table of records with all available information.
- Georeferencing.
- Organising of dataset according to Darwin Core standards.
引用文獻
- Bibby, C., Jones, M., Marsden, S. 1998. Expedition Field Techniques: Bird Surveys. Royal Geographical Society, London.
- Ponomarenko, O. L. 2017. [On the methodology of studying bird activity in tree stands]. Vestnik Zoologii. Supplement 35: 68-72.
額外的詮釋資料
| 替代的識別碼 | 3bebd44b-04f7-48e2-ae76-af2c94dbcfee |
|---|---|
| https://ukraine.ipt.gbif.no/resource?r=birdssamarasforest1 |