five

European eel (Anguilla anguilla) recruitment in Comacchio lagoon (Italy) data

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/10605242
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset was managed for the aims of the project ECOSISTER (Ecosystem for Sustainable Transition in Emilia-Romagna), WP3 of Spoke 5 and provides information about the captured glass eels entering in the Comacchio Lagoon (NE Italy), one of the most important coastal wetlands in Europe for biodiversity conservation and one of the most important places for eels fishery. To capture glass eels entering in the Comacchio Lagoon, four sampling sites (Foce, Bellocchio, Gobbino and Passo Pedone sites were selected at gateways or canals, which directly connect the lagoon to the sea. Environmental and meteorological variables  are also provided.  The dataset is provided in two formats: - Microsoft Excel XLSX file, including 3 sheets (Dataset, Fields and units, Taxonomy) - CSV files (UTF-8), 3 files corresponding to the 3 sheets of the Excel file The dataset includes 59 CPUE data for different sampling dates and sampling locations. Glass eels sampling was performed from 19/01/2011 to 7/4/2011. All the dataset fields are described in the Excel sheet/CSV file “Fields and units”, while the taxonomic related information for each taxon is provided in the Excel sheet/CSV file “Taxonomy”. Information extracted from the World Register of Marine Species (WoRMS; https://marinespecies.org/) is provided here (see details in Table 2). Table 1. Fields in the dataset (NA=not available). Field Darwin Core term Unit Precision Note decimalLatitude decimalLatitude decimal degrees ± 0.00001 WGS84 (EPSG: 4326) - WAAS/EGNOS enabled GPS position decimalLongitude decimalLongitude decimal degrees ± 0.00001 WGS84 (EPSG: 4326) - WAAS/EGNOS enabled GPS position dateIdentified dateIdentified DD/MM/YY NA  The date on which the sampling was performed SamplingGear NA NA NA a modified fyke net (called “cogollo”) CPUE organismQuantity CPUE, based on number of netlifts NA Number of individuals caught per fyke net per day Cond measurementType mS/cm NA Conducibility of the water DO measurementType mg/l NA Dissolved oxygen pH measurementType NA NA pH Salinity measurementType ppt NA Salinity Temp measurementType °C NA Water temperature Wind_Prev measurementType NA NA Prevailing wind direction MoonPh measurementType % NA Percentage of the illuminated moon disk   Table 2. Provided taxonomic information.   Taxon the name used in the dataset ScientificName_accepted the name accepted according WoRMS AphiaID Unique identifier in WoRMS Kingdom Taxonomic level Phylum Taxonomic level Class Taxonomic level Order Taxonomic level Family Taxonomic level Genus Taxonomic level Species Taxonomic level This dataset permitted the analysis of glass eel recruitment in the Comacchio lagoon through the publication of Lanzoni, M., Gavioli, A., Castaldelli, G., Aschonitis, V., Milardi, M. (2022). Swoon over the moon: The influence of environmental factors on glass eels entering Mediterranean coastal lagoons. Estuarine, Coastal and Shelf Science 264 (2022) 107668. https://doi.org/10.1016/j.ecss.2021.107668. This dataset is the unique dataset in the Adriatic Sea, and thus along the cost of Emilia-Romagna region, providing temporal and spatial information about glass eel recruitment. The data can help promoting eel stocks restoration through local management. For example, from the data, it was evident that glass eel migration peaked in two period and which temporal and water quality variables affected body size of glass eels, with bigger glass eels caught later in the season. Furthermore, the dataset included information of one of the most important areas for conservation. In fact, the Comacchio lagoon is included in the 2000 Nature network as IT4060002 “Valli di Comacchio” site and also in the Ramsar convention as important wetlands. Finally, the Anguilla anguilla species is critically endangered, according to the IUCN, and is included in the 92/43/EEC Directive. Therefore, information on its current population status is necessary.
创建时间:
2024-02-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作