Flora and fauna observations from gas extraction sites: winter study in Lviv region

出現紀錄
最新版本 published by Scientific and Ecological Center “Green Square” on 4月 5, 2025 Scientific and Ecological Center “Green Square”

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

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說明

As part of the company's environmental monitoring, a study was conducted to assess the impact of the activities of the gas industry management department «Lvivhazvydobuvannia» on the flora and fauna of selected sites in the Lviv region during winter. The dataset includes records of plant, fungi and animal species observed within the surveyed areas. The data were collected to evaluate biodiversity changes and provide recommendations for minimizing industrial impact on local ecosystems.

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 489 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。:

Nerush R (2025). Flora and fauna observations from gas extraction sites: winter study in Lviv region. Version 1.0. Scientific and Ecological Center “Green Square”. Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=lvivhazvydobuvannia_winter_2025&v=1.0

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 Scientific and Ecological Center “Green Square”。 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: fc003476-0896-4209-80a1-d6401630e33d。  Scientific and Ecological Center “Green Square” 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; Observation

聯絡資訊

Ruslan Nerush
  • 元數據提供者
  • 出處
  • 連絡人
Graduate student
Taras Shevchenko National University of Kyiv
01601 Kyiv
UA
Oleh Prylutskyi
  • 託管人
Head of the Laboratory for Natural Ecosystem Monitoring
Falz-Fein Biosphere Reserve "Askania Nova" of the National Academy of Agrarian Sciences of Ukraine
UA

地理涵蓋範圍

Lviv region

界定座標範圍 緯度南界 經度西界 [49.309, 22.98], 緯度北界 經度東界 [50.005, 23.938]

分類群涵蓋範圍

無相關描述

Kingdom Fungi, Plantae, Animalia
Phylum Bryophyta, Arthropoda, Chordata, Mollusca, Tracheophyta, Ascomycota, Basidiomycota
Class Bryopsida, Polypodiopsida, Entognatha, Arachnida, Liliopsida, Aves, Reptilia, Diplopoda, Mammalia, Lycopodiopsida, Chilopoda, Gastropoda, Pinopsida, Lecanoromycetes, Magnoliopsida, Polytrichopsida, Insecta, Agaricomycetes, Pezizomycetes, Malacostraca, Leotiomycetes
Order Dipsacales, Polytrichales, Geraniales, Cucurbitales, Squamata, Asterales, Hemiptera, Anseriformes, Artiodactyla, Ericales, Auriculariales, Solanales, Passeriformes, Plantaginales, Poales, Malpighiales, Lagomorpha, Eulipotyphla, Caliciales, Lamiales, Carnivora, Caryophyllales, Collembola, Glomerida, Dicranales, Lycopodiales, Rosales, Brassicales, Araneae, Helotiales, Agaricales, Sapindales, Pinales, Gentianales, Ostropales, Teloschistales, Diptera, Pezizales, Geophilomorpha, Polyporales, Hypnales, Alismatales, Fagales, Lithobiomorpha, Ranunculales, Hymenochaetales, Bryales, Polypodiales, Accipitriformes, Lecanorales, Russulales, Coleoptera, Pottiales, Hymenoptera, Fabales, Amylocorticiales, Piciformes, Oxalidales, Stylommatophora, Isopoda, Apiales

時間涵蓋範圍

起始日期 / 結束日期 2025-01-09 / 2025-01-11

取樣方法

The data were collected through field surveys conducted in winter under standardized biodiversity assessment protocols. The surveys included direct species identification, photographic documentation, and habitat condition assessment. Whenever possible, animals were identified in the field without being removed from their natural habitat or preserved. However, some specimens were collected for further study: dry specimens were pinned, while others were preserved in 96% ethanol. These specimens were typically examined using an MBS-10 microscope.

研究範圍 Gas industry management department «Lvivhazvydobuvannia» facilities, selected sites in the Lviv region, Ukraine.
品質控管 In some cases, only higher taxonomic ranks were provided when precise identification was not possible. Frequently encountered species were also documented on the iNaturalist platform, but their geographic coordinates were not duplicated in this dataset.

方法步驟描述:

  1. Selection of survey sites
  2. Field data collection
  3. Laboratory processing
  4. Specimen identification
  5. Cataloging and dataset preparation
  6. Data verification and quality control
  7. Data structuring and publication