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Effect of short-term meteorological disturbance on submergem aquatic vegetation and associated fauna

Dataset homepage

Citation

Misturini D, Lemos V, Lanari M, Colling L (2021). Effect of short-term meteorological disturbance on submergem aquatic vegetation and associated fauna. Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr. Sampling event dataset https://doi.org/10.15468/v2dd3g accessed via GBIF.org on 2022-08-14.

Description

This dataset has environmental and ecological data from submerged aquatic vegetation and associated benthic macrofauna, in Justino Bay (Patos Lagoon Estuary – BR) before and after four meteorological shot-term disturbances, during march/2019, may/2019, august/2019 and november/2019. The Darwin-Core file is organized in an event and location spreadsheet (Event Core) with 432 data records, a qualitative species occurrence spreadsheet (Occurrence Extension) with 18361 data records, and a quantitative macrofauna density, seagrass morphology and environmental parameters spreadsheet (ExtMoF) with 15652 measurements.

Purpose

This study is a short-term research demand by Brazilian Long-Term Ecological Research Program (LTER) - site Patos Lagoon Estuary and adjacent marine coast (PLEA), a well-established and consolidated ecological monitoring that has datasets on coastal biotic and abiotic parameters since 1998.In the context of global climate changes, we aimed to evaluate the influence of the occluded fronts,a natural meteorological phenomenon, which has become more intense, on composition and structure of macrobenthic infaunal and epifaunal assemblages, the damage caused to submerged aquatic vegetation, and its dumped effect, in a subtropical estuarine seagrass meadow dominated by Ruppia maritima Linnaeus, 1753, and adjacent sandflats.

Sampling Description

Study Extent

The Patos Lagoon (PLE) is the largest coastal lagoon in South America with ~ 11,000 km², comprising shallow flats (~170 km²) with less1.5 m depth and a deeper main channel. The hydrodynamics and physicochemical characteristics of PLE are highly dependent of local and remote winds action, fluvial discharge and regional precipitation. The salinity of estuarine region is fresh in raining, but in dry seasons the outflow and inflow are dominated by NE and SW wind, respectively, generating saline scenarios. This study was conducted in Justino Bay (-32.07; -52.22), a preserved region where seasonal seagrass beds are dense and more perennial. The hydrodynamics in edge shallow areas is caused by the wind meanly south, generating the predominance of fine sandy sediments. Due to the fresh water input and the poor water circulation salinity ranges from 0 to 20, according to the seasons.

Sampling

The field works were carried out hours or one day before and after four occluded fronts passage, using before as control, according to BACI model (Before/After, Control/Impact; UNDERWOOD, 1996). Sampling fieldwork were in Summer (B: 2019/03/08 and A: 2019/03/13), Autumn (B: 2019/05/08 and A: 2019/05/13), Winter (B: 2019/08/23 and A: 2019/08/28) and Spring (B: 2019/11/08 and A: 2019/11/18). Sampling followed a hierarchical model where SAV Meadow, Sandflat and SAV Edge habitats were sorted. The habitats were divided in three transects (T1, T2, T3). In each transect two sediment samples (A, B) and three macrozoobenthic and seagrass samples (A, B, C), one measure of environmental parameters and water column depth were taken. Vegetal visual coverage (quadrat, 1 m²; N total = 216 samples), canopy height (216 observations) and biomass (core, 00.08 m²; 216 samples) were collected. Plants biomass were sorted out according to leaf morphology for taxonomic identification and below and aboveground biomass were separated for dry weight determination (48 h at 60 °C). Benthic macrofauna (core: 0.008 m²), stratified in 0 - 0.1 m (N total = 216) and 0.1 - 0.2 m (N total = 216), were sampled and sieved through a 300 µm mesh. Macrofauna was fixed with 4 % formalin, identified and preserved in alcohol 70 %. Sediment samples were sampled (total N=144), with cylindrical core (0.002 m², 0.1 m depth) and analyzed using sieving and pipetting indirect method. Sedimentary organic matter content (total N=144) were determined by ignition method.

Quality Control

The sampled material was processed by specialists, based on accepted and applied manuals for sampling (LANA et al., 2006; TURRA; DENADAI, 2015), taxonomy (AMARAL; RIZZO; ARRUDA, 2006; BUCKUP; BOND-BUCKUP; ARENZON, 1999; LARKUM; ORTH; DUARTE, 2006; RIOS, 1994) and methodology (DAVIES, 1974; LAVERY; KENDRICK, 2001; SUGUIO, 1973). Taxonomic validity was verified using the World Register of Marine Species (WoRMS; www.marinespecies.org) and in National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov).

Method steps

  1. Submarged Aquatic Vegetation: During each sampling event, SAV visual coverage and canopy height (quadrat, 1 m²), and biomass (core: 0.1 X 0.1 m) were collected in each transect and habitat (N total = 216 samples). In the laboratory, plants fresh biomass was separated from macrobenthic organisms and sorted out in R. maritima/ Z. palustris and in P.striatus according to leaf morphology. Below (roots and rhizomes) and aboveground (shoots and leaves) biomass were separated for determination of dry weight (48 h, 60 °C; McKenzie et al., 2003).
  2. Benthic Macrofauna: Benthic macrofauna were sampled with cylindrical core (0.008 m²), stratified between 0 - 0.1 m and 0.1 - 0.2 m, for each transect and habitat (N total = 216 samples for each stratum). The samples were sieved through a 300 µm mesh and kept fresh just to pre-sort fauna and flora. Macrofauna was fixed with 4 % formalin, identified and preserved in alcohol 70 %.
  3. Environmental Parameters: Surface water temperature (mercury thermometer) and salinity (portable RH0-90 refractometer) were taken at the beginning of each field sampling. Sediment samples were performed in duplicate for each transects and habitat with cylindrical core (0.002 m², 0.1 m depth, total N=144) for granulometric analyses and determination of organic matter content. Granulometry was analyzed using method described by Suguio (1973). Organic matter content was determined by the loss on ignition method (DAVIES, 1974)

Taxonomic Coverages

This dataset has occurrences records of plants and animals organisms belonging to eight phyla, 15 classes, 21 families and 16 species. Our equipment and sampling methodology aimed to capture benthic macrofauna and marine macrophyte, but we registered other seagrass associated fauna occurrence in dataset. In this way we rank the main organisms taxa.
  1. Laeonereis acuta
    rank: species
  2. Heteromastus similis
    rank: species
  3. Nephtys fluviatilis
    rank: species
  4. Alitta succinea
    rank: species
  5. Heleobia australis
    common name: Snail rank: species
  6. Erodona mactroides
    common name: Erodon Corbula rank: species
  7. Monokalliapseudes schubarti
    rank: species
  8. Sinelobus stanfordi
    common name: A tanaid rank: species
  9. Uromunna peterseni
    rank: species
  10. Diastylis sympterygiae
    rank: species
  11. Heleobia charruana
    common name: snail rank: species
  12. Capitella nonatoi
    rank: species
  13. Oligochaeta
    rank: class
  14. Paraprionospio pinnata
    rank: species
  15. Amphipoda
    rank: order
  16. Balanidae
    common name: craca rank: family
  17. Hydrozoa
    rank: class
  18. Cassidinidea fluminensis
    rank: species
  19. Gastropoda
    common name: snail rank: class
  20. Heleobia
    common name: snail rank: genus
  21. Tagelus plebeius
    common name: Stout tagelus rank: species
  22. Nemertea
    common name: Proboscis worm rank: phylum
  23. Chironomidae 
    common name: Mosquitoes rank: family
  24. Odonata
    common name: Dragonflie rank: order
  25. Ostracoda
    rank: class
  26. Hydrachnidia
    common name: water mite rank: suborder
  27. Miliolina
    rank: genus
  28. Foraminifera
    rank: phylum
  29. Nematoda
    common name: Worm rank: phylum
  30. Cladocera
    common name: Water fleas rank: superorder
  31. Copepoda
    rank: subclass
  32. Mysidacea
    common name: Opossum shrimp rank: order
  33. Callinectes 
    common name: crab rank: genus
  34. Cicadellidae
    common name: Leafhopper rank: family
  35. Penaeidae
    common name: Shrimp rank: family
  36. Coleoptera
    common name: Beetle rank: order
  37. Cyrtograpsus angulatus
    common name: Crab rank: genus
  38. Collembola
    rank: order
  39. Homoptera
    common name: Grasshopper rank: suborder
  40. Hymenoptera
    common name: Winged ant rank: order
  41. Salpidae
    common name: Salpa rank: family
  42. Zannichellia palustris
    rank: species
  43. Potamogeton striatus
    rank: species
  44. Ruppia maritima
    common name: Widgeon grass rank: species

Geographic Coverages

Seagrass Meadow, Seagrass Edge, Sandflat, Justino Bay, Patos Lagoon Subtropical Estuary, Rio Grande, Rio Grande do Sul, Southern Brazil.

Bibliographic Citations

  1. MISTURINI, D. (2021). A Influência de Sistemas Frontais sobre as Assembleias Bentônicas de Pradarias de Fanerógamas Submersas Estuarinas (Master dissertation, Universidade Federal do Rio Grande). - 10.13140/RG.2.2.23658.64967/1

Contacts

Dairana Misturini
originator
position: Doutoranda
Universidade Federal de Santa Catarina
Núcleo de Estudos do Mar Campus Reitor João David Ferreira Lima
Florianopolis
88040-900
Santa Catarina
BR
Telephone: 48 985050080
email: dairana.dai@gmail.com
userId: http://lattes.cnpq.br/4543466146328893
Valéria Lemos
originator
position: researcher
Universidade Federal do Rio Grande
Rio Grande
Rio Grande do Sul
BR
email: vavadeleom@yahoo.com.br
userId: http://lattes.cnpq.br/0877702784546074
Marianna Lanari
originator
position: researcher
Universidade Federal do Rio Grande
Rio Grande
Rio Grande do Sul
BR
email: marianna.lanari@gmail.com
userId: http://lattes.cnpq.br/6710498730837294
Leonir Colling
originator
position: researcher
Universidade Federal do Rio Grande
Av. Itália, s/n - km 8 - Carreiros
Rio Grande
Rio Grande do Sul
BR
email: andrecolling@gmail.com
userId: http://lattes.cnpq.br/1304296823740326
Dairana Misturini
metadata author
position: Doutoranda
Universidade Federal de Santa Catarina
Núcleo de Estudos do Mar Campus Reitor João David Ferreira Lima
Florianopolis
88040-900
Santa Catarina
Telephone: 48 985050080
email: dairana.dai@gmail.com
userId: http://lattes.cnpq.br/4543466146328893
Dairana Misturini
author
position: Doutoranda
Universidade Federal de Santa Catarina
Núcleo de Estudos do Mar Campus Reitor João David Ferreira Lima
Florianopolis
88040-900
Santa Catarina
BR
Telephone: 48 985050080
email: dairana.dai@gmail.com
userId: http://lattes.cnpq.br/4543466146328893
Marianna Lanari
author
position: researcher
Universidade Federal do Rio Grande
Rio Grande
BR
email: marianna.lanari@gmail.com
Valéria Lemos
author
position: researcher
Universidade Federal do Rio Grande
Rio Grande
BR
email: vavadeleom@yahoo.com.br
Leonir Colling
author
position: researcher
Universidade Federal do Rio Grande
Rio Grande
Rio Grande do Sul
BR
email: andrecolling@gmail.com
Dairana Misturini
administrative point of contact
position: Doutoranda
Universidade Federal de Santa Catarina
Núcleo de Estudos do Mar Campus Reitor João David Ferreira Lima
Florianopolis
88040-900
Santa Catarina
BR
Telephone: 48 985050080
email: dairana.dai@gmail.com
userId: http://lattes.cnpq.br/4543466146328893
Valéria Lemos
administrative point of contact
position: researcher
Universidade Federal do Rio Grande
Rio Grande
Rio Grande do Sul
BR
email: vavadeleom@yahoo.com.br
userId: http://lattes.cnpq.br/0877702784546074
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