Marine bentho-pelagic fauna and flora of Blue Flag coasts in northern Crete

Sampling event
最新版本 published by Hellenic Center for Marine Research on 2月 8, 2023 Hellenic Center for Marine Research
發布日期:
2023年2月8日
授權條款:
CC-BY 4.0

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說明

This dataset concerns marine species from six coasts awarded with a Blue Flag from northern Crete, Greece, Eastern Mediterranean. It includes species of benthic and pelagic mega- and macro-fauna and flora. Visual census and photo-identification were applied as non-invasive recording methods. This resource was created within the INTERREG V-A Greece - Cyprus 2014-2020 project "SocioCoast" co-funded by the European Union (ERDF) and national funds of Greece and Cyprus under the grant agreement No 5050709.

資料紀錄

此資源sampling event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 6 筆紀錄。

亦存在 2 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Event (核心)
6
Occurrence 
356
ExtendedMeasurementOrFact 
6

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。:

Chatzinikolaou E, Sarafidou G, Digenis M, Rallis I (2023): Marine bentho-pelagic fauna and flora of Blue Flag coasts in northern Crete. v1.1. Hellenic Center for Marine Research. Dataset/Samplingevent. http://ipt.medobis.eu/resource?r=sociocast&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 Hellenic Center for Marine Research。 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: 726fa40d-1d20-43a5-8c6d-70d4d5e8a8c6。  Hellenic Center for Marine Research 發佈此資源,並經由Ocean Biodiversity Information System同意向GBIF註冊成為資料發佈者。

關鍵字

megafauna; macrofauna; benthos; pelagic fish; marine plants; Blue Blag; Crete; Mediterranean; visual census; non-destructive sampling; zoobenthos; benthic flora; Metadata

聯絡資訊

Eva Chatzinikolaou
  • 元數據提供者
  • 出處
  • 連絡人
Hellenic Centre for Marine Research
Former U.S. Base of Gournes
71500 Heraklion
Crete
GR
+302810337741
Georgia Sarafidou
  • 元數據提供者
Hellenic Centre for Marine Research
Former U.S. Base of Gournes
71500 Heraklion
Crete
GR
+302810337741
Markos Digenis
  • 出處
Hellenic Centre for Marine Research
Former U.S. Base of Gournes
71500 Heraklion
Crete
GR
+302810337741
Ioannis Rallis
  • 元數據提供者
  • 出處
Hellenic Centre for Marine Research
Former U.S. Base of Gournes
71500 Heraklion
Crete
GR
+302810337741
Georgia Sarafidou
  • 元數據提供者
Hellenic Centre for Marine Research
Former U.S. Base of Gournes
71500 Heraklion
Crete
GR
+302810337741

地理涵蓋範圍

The dataset concerns six coasts with Blue Flag from northern Crete, Greece, Mediterranean.

界定座標範圍 緯度南界 經度西界 [35.147, 24.357], 緯度北界 經度東界 [35.47, 26.373]

分類群涵蓋範圍

Marine animals (Annelida, Arthropoda, Bryozoa, Chordata, Cnidaria, Echinodermata, Mollusca, Porifera) and plants (Chlorophyta, Ochrophyta, Rhodophyta, Tracheophyta) were identified to the lowest possible level of taxonomy.

Phylum Annelida, Arthropoda, Bryozoa, Chordata, Cnidaria, Echinodermata, Mollusca, Porifera, Chlorophyta, Rhodophyta, Ochrophyta, Tracheophyta

時間涵蓋範圍

起始日期 / 結束日期 2022-05-24 / 2022-06-25

計畫資料

The project SocioCoast aims to offer complementary information and IT tools to the Blue Flag information system, which is the most well known and reliable system for beach quality evaluation applied in more than 50 countries and awarded under strict criteria to organized beaches and marinas. Data and information have been collected during the project for selected beaches in Crete and Cyprus and will be offered to the public regarding: a) biodiversity, and more specifically information on marine species interesting for divers, dangerous species or alien species, and b) oceanographic and meteorological data for leisure activities (e.g. nautical sports, nautical tourism, leisure fishing). Some of the selected locations are part of the Natura 2000 network and at the same time they satisfy some other criteria (e.g. accessibility for people with disabilities). The ICT tools developed during the project will offer updated and enriched information for the visitors and will also offer them the opportunity to interactively contribute to the updating of such information through crowd-sourcing (e.g. tourists will be able to submit information about pollution events, appearance of new species and status of touristic facilities). Finally, the opportunity for big data analysis and the enrichment of the platform with new applications is offered through the project activities.

計畫名稱 SocioCoast - Enhance promotion of beaches and coastal areas and problem reporting through crowd sourcing activities
辨識碼 n/a
經費來源 INTERREG V-A Greece - Cyprus 2014-2020 co-funded by the European Union (ERDF) and national funds of Greece and Cyprus under the grant agreement No 5050709.
研究區域描述 The project SocioCoast includes data from Blue Flag coasts, more specifically 6 coasts from northern Crete in Greece and 4 coasts from Cyprus.

參與計畫的人員:

Eva Chatzinikolaou

取樣方法

The biodiversity of mega- and macro- benthic and pelagic fauna and flora in each one of the six Blue Flag beaches in northern Crete has been investigated using SCUBA diving and snorkeling. Three scientific divers applied non-destructive methods for the visual identification of the existing species: a) visual census for in-situ underwater observations and b) collection of underwater photographs for further taxonomic analysis. The divers allocated approximately 2 hours for snorkeling and 2 hours for SCUBA diving in each area, surveying all different habitats, including soft bottoms, vertical walls and overhangs, crevices, meadows and artificial structures.

研究範圍 The sampling area in this dataset includes six Blue Flag beaches located in the north coast of Crete (Greece): a) Adelianos Kampos near Rethymnon, b) Kokkini Hani and c) Kastri situated between Heraklion and Agios Nikolaos, d) Schisma and e) Porto Elounda located in Elounda, and f) Vai-Foinikodasos in northeastern Crete. Sampling was carried out during June-July 2022, covering both hard and soft substrate habitats within a depth range of 0-7 meters.
品質控管 All data collected were cross validated by three scientific experts using the existing literature, as well as open access databases (e.g. WoRMS, DORIS) and identification key books. Careful investigation of the close-up qualitative photos was also applied in order to identify additional taxa to the lowest possible taxonomic level.

方法步驟描述:

  1. n/a

額外的詮釋資料