Landeira, José María; Fatira, Effrosyni; Rodríguez, Adriana; Moreno-Borges, Sergio (2024): Decapod larvae collected in the Canary Islands using light traps [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.969341
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Published: 2024-08-08 • DOI registered: 2024-09-06
Abstract:
The data provided here was collected with the aim of providing information on spatial and temporal variability of the abundance, composition, and assemblages of settlement stage of brachyuran crabs in the Canary Islands (NW Africa) by sampling with light traps during four consecutive environmental seasons. Moreover, the data was collected to study the effect of Marine Protected Areas controlling larval assemblages in relation to non-indigenous species and indigenous species with commercial interest. Samples were collected with the Ecocean CARE® light trap. The CARE light trap consisted of a float with a watertight block containing a rechargeable light, and a 2 m conical net (2 mm mesh size) hanging 1.5 m below the sea surface The dataset includes abundance information of decapod crustacean larvae (megalopa stage) at various locations of El Hierro islands (Orchilla, Bonanza, Tacorón and Bahía de Naos) and Lanzarote island (Playa Quemada, Mala, Punta Fariones and Montaña Amarilla). The study spanned four consecutive oceanographic seasons (October-November 2019, March-May 2020, September-October 2020 and March-April 2021). The limited information available on the temporal and spatial dynamics of decapod crustacean larvae in tropical and subtropical regions makes this dataset highly valuable for the scientific community.
Supplement to:
Landeira, José María; Fatira, Effrosyni; Cuesta, José A; Schubart, Christoph D; Moreno-Borges, Sergio; Rodríguez, Adriana (2024): Larval dynamics suggest phenological strategies and positive effect of marine protected areas controlling indigenous and non-indigenous crab populations. Frontiers in Marine Science, 11, 1371782, https://doi.org/10.3389/fmars.2024.1371782
Funding:
Horizon Europe (HorizonEU), grant/award no. 101090322: Impact of climate change on twilight zone fishes during early-stage development - PLEASE
Coverage:
Median Latitude: 28.393783 * Median Longitude: -15.786548 * South-bound Latitude: 27.638000 * West-bound Longitude: -18.132400 * North-bound Latitude: 29.238516 * East-bound Longitude: -13.450000
Date/Time Start: 2019-05-25T00:00:00 * Date/Time End: 2021-04-14T00:00:00
Minimum DEPTH, water: 1.5 m * Maximum DEPTH, water: 1.5 m
Event(s):
El_Hierro_B1 (Bonanza, El Hierro) * Latitude: 27.728000 * Longitude: -17.941000 * Date/Time Start: 2019-10-21T00:00:00 * Date/Time End: 2021-04-14T00:00:00 * Location: Bonanza, El Hierro, Canary Islands, NW Africa * Method/Device: Light trap, Ecocean, CARE®
Comment:
Funding:
Award no. 2019/S 063-146989; project: "Seguimiento de especies y hábitats indicadores de cambio climático a largo plazo en el archipiélago canario", cofunded by Operational Program FEDER Canarias (2014-2020) and the Government of the Canary Islands
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Landeira, José María | |||
| 2 | Location of event | Location | Landeira, José María | |||
| 3 | Latitude of event | Latitude | Landeira, José María | |||
| 4 | Longitude of event | Longitude | Landeira, José María | |||
| 5 | Marine Protected Area | MPA | Landeira, José María | MPA = Marine Protected Areas (Lanzarote, "Isla de La Graciosa e Islotes del Norte"; El Hierro, "La Restinga-Mar de las Calmas"); Yes = whitin MPA, No = outside MPA | ||
| 6 | DEPTH, water | Depth water | m | Landeira, José María | Geocode – Floating light traps with a 2 m conical net hanging 1.5 m below the sea surface were moored at a depth of 10-25 m, 20-300 m off the coast | |
| 7 | DATE/TIME | Date/Time | Landeira, José María | Geocode – Day of retrieval (1-2 hours after sunrise) | ||
| 8 | Unit of effort | UE | Light trap, Ecocean, CARE® | Traps were left overnight; deployed/retrieved 1-2 hours before sunset/after sunrise | ||
| 9 | Megalopa, total, catch per unit effort | Megalopa tot CPUE | # | Landeira, José María | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) | |
| 10 | Shannon Diversity Index | H' | Landeira, José María | Calculated | ||
| 11 | Dromia marmorea, megalopa, catch per unit effort | D. marmorea megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples; exceptionally by molecular identification | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 12 | Cryptosoma cristatum, megalopa, catch per unit effort | C. cristatum megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples; exceptionally by molecular identification | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 13 | Leucosiidae spp., megalopa, catch per unit effort | Leucosiidae spp. megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 14 | Acanthonyx lunulatus, megalopa, catch per unit effort | A. lunulatus megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 15 | Achelous hastatus, megalopa, catch per unit effort | A. hastatus megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples; exceptionally by molecular identification | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 16 | Thalamita poissonii, megalopa, catch per unit effort | T. poissonii megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples; exceptionally by molecular identification | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 17 | Cronius ruber, megalopa, catch per unit effort | C. ruber megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples; exceptionally by molecular identification | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 18 | Xantho hydrophilus, megalopa, catch per unit effort | X. hydrophilus megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 19 | Grapsus adscensionis, megalopa, catch per unit effort | G. adscensionis megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples; exceptionally by molecular identification | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 20 | Pachygrapsus spp., megalopa, catch per unit effort | Pachygrapsus spp. megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 21 | Plagusia depressa, megalopa, catch per unit effort | P. depressa megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
| 22 | Percnon gibbesi, megalopa, catch per unit effort | P. gibbesi megalopa CPUE | # | Landeira, José María | Visual identification (VID) of ethanol preserved samples | Catch per unit of effort (CPUE), with "effort" being both number of traps and time fished (larvae trap⁻¹ night⁻¹) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1424 data points