Eight-fjords shallow underwater videos

Occurrence Observation
最新版本 published by Wildlife.ai on 4月 4, 2024 Wildlife.ai
發布日期:
2024年4月4日
Published by:
Wildlife.ai
授權條款:
CC-BY 4.0

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說明

Dataset of species records extracted via Yolov8 model from 1 hour-recordings using baited remote underwater video at a depth of between 0.6-3.2 meters in the coastal zone of the 8-fjords area at the Swedish west-coast.

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 12 筆紀錄。

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版本

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如何引用

研究者應依照以下指示引用此資源。:

Green L, Svensson L, Burman E, Germishuys J, Anton V, Obst M (2024). Eight-fjords shallow underwater videos. Version 1.2. Wildlife.ai. Occurrence dataset. https://ipt.gbif.org.nz/resource?r=gobin_example_dataset&v=1.2

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 Wildlife.ai。 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: 653b41c5-f839-4df9-b6f5-cfb896ac2b52。  Wildlife.ai 發佈此資源,並經由GBIF New Zealand同意向GBIF註冊成為資料發佈者。

關鍵字

Invasive species; alien species; non-indigenous species; exotic species; shallow water; coastal; Round goby; gobiidae; fish; crabs; BRUV; baited camera records; Invasive species; alien species; non-indigenous species; exotic species; shallow water; coastal; Round goby; gobiidae; fish; crabs; BRUV; baited camera records

聯絡資訊

Leon Green
  • 元數據提供者
  • 出處
  • 連絡人
  • 研究主持人
  • Researcher
University of Gothenburg
Linnéa Svensson
  • 出處
  • Research assistant
University of Gothenburg
Emil Burman
Jannes Germishuys
  • 程式設計師
  • 出處
  • Data Scientist
Combine
Victor Anton
  • 元數據提供者
  • 發布者
  • 連絡人
  • GM
WILDLIFE.AI
NZ
Matthias Obst
  • 內容提供者
  • 元數據提供者
  • 連絡人
  • Researcher
University of Gothenburg

地理涵蓋範圍

These records cover shallow bays in Sweden's first test-bed for marine ecosystem-based management: The 8-fjords+ area. This area is a freshwater-influenced fjord system containing multiple Natura-2000 sites and a range of habitats including shallow and deep soft and hard bottoms. Records in the dataset are from 3-1 meters in depth, mainly centred around small marinas.

界定座標範圍 緯度南界 經度西界 [57.991, 11.544], 緯度北界 經度東界 [57.991, 11.544]

分類群涵蓋範圍

All fish were identified to species or family level, Brachyuran crabs were identified to species level.

Species Carcinus maenas (European Green Crab), Ctenolabrus rupestris (Goldsinny Wrasse), Gobius niger (Black Goby), Neogobius melanostomus (Round Goby)

時間涵蓋範圍

起始日期 / 結束日期 2023-09-12 / 2023-09-13

計畫資料

Sweden is now facing its first-ever biological invasion by a non-indigenous species (NIS) of fish (the round goby, Neogobius melanostomus) in a fully marine environment. This invasion event is unprecedented, and current knowledge severely limits any form of action to limit the range or the rate of the goby invasion. There are previously no successful eradications of the round goby, and there are no examples where marine invasive fish have been eradicated or limited by human ingenuity. The situation is also unique since the Swedish west-coast is a very different environment to the degraded and species poor Baltic Sea where the round goby is spreading rapidly. We cannot expect the invasion to occur identically in these two regions and we need new knowledge to analyze the situation. The purpose of the proposed studies is to provide Swedish agencies and the global research community with knowledge of how two important ecological processes can help to protect the marine coastal environments from rapidly becoming colonized by invasive fish. These two processes are (1) top down control from predation, and (2) lack of niche space due to high biodiversity. This knowledge will be obtained through three separate scientific studies where we aim to: (1) observe to what extent predators such as cod (Gadus morhua) and eel (Anguilla anguilla) prey on round goby; (2) relate biodiversity measurements to the density of round gobies over time. If the two studied processes are shown to mitigate round goby numbers, conservation of both predators and biodiversity can be used as ecological “bio-control” tools to limit the spread of the species. We also expect this knowledge to add to the importance of protecting predators and biodiversity as conservation goals by themselves, and lead to combined conservation strategies that are both cost-effective and highly sustainable.

計畫名稱 The role of predators and biodiversity as ecological barriers for the round goby invasion on the Swedish marine west-coast
經費來源 Project funded by Swedish Environmental Protection Agency (Project grants in the handling of alien invasive species 2020, Environmental research fund), grant nr. 2020-00055, to Leon Green.
研究區域描述 These records cover shallow bays in Sweden's first test-bed for marine ecosystem-based management: The 8-fjords+ area. This area is a freshwater-influenced fjord system containing multiple Natura-2000 sites and a range of habitats including shallow and deep soft and hard bottoms. Records in the dataset are from 3-1 meters in depth, mainly centred around small marinas.

取樣方法

Sampling with video cameras is a relatively common method for investigating flora and fauna in marine environments. When it comes to fish census, baited camera systems are often used (abbreviated as BRUV after the English "Baited Remote Underwater Video"), which can be placed on the seabed or freely suspended in the water column with the help of a buoy on the surface (see e.g., Sherman et al., 2020, and Cambra et al., 2021). An advantage of these systems compared to, for example, ROVs (remotely operated underwater vehicles) or drop-video (a type of "camera sled" dragged across the seabed) is that they are stationary and do not scare away fish through movements and sounds. However, this means that the camera covers a smaller area of water, and therefore bait is used to attract the fish nearby to move in front of the camera. The bait used is often scented food such as fish scraps and shrimp. For the detection of cryptobenthic fish (small, bottom-dwelling species that often hide in crevices or among vegetation), the BRUV method is still in the developmental stage. Because such small fish (especially bullheads) can be difficult to distinguish and identify on video, it is valuable to design camera systems that visualize their characteristics as effectively as possible. In this study, a system with neutral-colored "background boards" has been used, which the fish need to swim in front of to reach the bait. This way, characteristics such as color, pattern, and fin shape are visualized, improving the possibility of species identification. Video cameras baited with frozen shrimp (4 per camera, approximately 45 grams each in wet weight) were placed on the seabed either directly from a pier/dock when possible, or with the help of snorkelling. Each camera system was placed at a minimum distance of 30 meters from each other to avoid fish moving between the cameras during filming. The depth at which the cameras were placed varied between 0.6 – 3.2 meters. To control for lighting conditions, the video rig was always oriented so that the camera filmed northward (and thus received ample light against the background).

研究範圍 At each site, an average of 4 recordings were made, with each camera recording video for 1 hour, resulting in a total recording time of 4 hours per site. Records in this data are per video. Each video is fitted with a unique identifier.

方法步驟描述:

  1. The team followed the methodology described in the SUBSIM software to analyse and publish the occurrences

額外的詮釋資料

替代的識別碼 653b41c5-f839-4df9-b6f5-cfb896ac2b52
https://ipt.gbif.org.nz/resource?r=gobin_example_dataset