Electrofishing data for eel (Anguilla anguilla) in the SUDOE area
1. DESCRIPTION 1.1. THE SUDOANG PROJECT The SUDOANG project aims at providing common tools to managers to support eel conservation in the SUDOE area (Spain, France and Portugal). Three main datasets have been used to implement EDA. A database of rivers and their attributes along with tools for chain...
| Main Authors: | , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://zenodo.org/record/6023561 https://doi.org/10.5281/zenodo.6023561 |
| Summary: | 1. DESCRIPTION 1.1. THE SUDOANG PROJECT The SUDOANG project aims at providing common tools to managers to support eel conservation in the SUDOE area (Spain, France and Portugal). Three main datasets have been used to implement EDA. A database of rivers and their attributes along with tools for chaining. A database of dams. A database of electrofishing (current dataset). Electrofishing data include site locations, fishing operations which can be done several times at one site, and fish data collected during each operation. The operations are attached to stretches of river or river segments whose characteristics describe the conditions for presence, density, size structure, or silvering rate of the eels. The electrofishing operation are classified by type, com full two pass fishing, coa full two pass electrofishing for eel, iaa eel abundance point sampling, ber bank sampling gm point fishing for large streams oth other, or unspecified. 1.2. TEMPORAL SCOPE From 1985 to 2018, beware incomplete dataset after 2015 in France. 1.3. GEOGRAPHICAL RANGE The SUDOE area including Iberian Peninsula and France. 2. DATASETS DESCRIPTION 2.1. DENSITIES AND PRESENCE ABSENCE dataset : frsppt_12_2020.Rdata Most variables are built here The script to create cumulated values for dams can be found here For a technical description see the report Contains : ddd => dataset used to calibrate the presence absence model, 46147 lines ddg => dataset used to calibrate the gamma model (only positive values retained), 19993 lines. tdd => dataset corresponding to places where transport operation have been identified, presence absence model, 6582 lines. tdg => dataset corresponding to places where transport operation have been identified, gamma model (only positive values) 984 lines. And the following columns (in alphabetical order) : altitudem. Altitude in meter truncated to 800 m area_sudo Area for recruitment (Drouineau et al., 2021) codesea Code of the Sea, factor A = Atlantic, M = Mediterranean country A factor (FR, SP, PT) for ... |
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