PELD - ABRS | Avaliação e monitoramento dos recifes de Abrolhos

Occurrence
Latest version published by Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr on May 23, 2024 Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr
Home:
http://www.abrolhos.org
Publication date:
23 May 2024
License:
CC-BY-NC 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 1,656 records in English (50 KB) - Update frequency: annually
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Description

Relative annual coverage (percentage) of the different benthic groups presents in the Abrolhos Archipelago, starting in 2006.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1,656 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

PELD - ABRS | Avaliação e monitoramento dos recifes de Abrolhos. v1. Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr. Dataset/Samplingevent. https://ipt.sibbr.gov.br/peld/resource?r=peld-abrs_archipelago&v=1.0

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has not been registered with GBIF

Keywords

Samplingevent; Abrolhos; Coral Reefs; Brazil; Occurrence

Contacts

Rodrigo Leão de Moura
  • Originator ●
  • User ●
  • Point Of Contact
  • Professor
Universidade Federal do Rio de Janeiro
BR
Jana Menegassi del Favero
  • Metadata Provider
  • Post doctoral researcher
Universidade Federal do Rio de Janeiro
BR
Carolina D’Ornellas Teixeira
  • Metadata Provider ●
  • Originator
  • Technician
Universidade Federal do Rio de Janeiro
Jana Menegassi del Favero
  • Metadata Provider
  • Post doctoral researcher
Universidade Federal do Rio de Janeiro
BR

Geographic Coverage

Data sampled in Abrolhos Marine National Park, Bahia, Brazil

Bounding Coordinates South West [-17.973, -38.715], North East [-17.959, -38.69]

Taxonomic Coverage

Coral reefs organisms were identified at the lower taxa possible (species or genus), Coral reefs organisms were identified at the lower taxa possible (species or genus)

Genus Agaricia, Millepora, Porites, Siderastrea
Species Favia gravida, Madracis decactis, Meandrina braziliensis, Millepora nitida, Montastrea cavernosa, Mussismilia braziliensis, Mussismilia hartti, Mussismilia hispida, Mussismilia leptophylla, Scolymia wellsi

Zoanthids includes Palythoa caribaeorum and Zoanthus spp.

Order Zoantharia

Crustose Calcareous Algae (CCA)

Unranked CCA

Benthic cyanobacteria mats

Phylum Cyanobacteria

Includes all encrusting sponges

Unranked Encrusting sponge

Includes all species of macroalgae

Unranked Macroalgae

Includes all massive sponges

Unranked Massive sponge

Includes octocorals, bryozoans, ascidians, polychaetes, anemones

Unranked Other organisms

Includes all boring sponges

Unranked Perforating sponge

Includes sediment and dead organisms

Unranked Substrate/Dead

Turf

Unranked Turf

Temporal Coverage

Start Date / End Date 2006-01-01 / 2021-01-01

Project Data

Our goal is to monitor the dynamics of the benthic assemblage in Abrolhos reefs. We also expected to contribute to elucidate issues applied to conservation (e.g. effectiveness of different management regimes), and restoration (factors influencing resilience), as well as to explore broader theoretical issues.

Title PELD ABROLHOS: MONITORAMENTO DO MAIOR COMPLEXO CORALÍNEO DO ATL NTICO SUL
Identifier PELDABRS
Funding CNPq, FAPERJ, FAPES
Study Area Description The Abrolhos Bank (16˚40’, 19˚40’S—39˚10’, 37˚20’W) is a 46,000 km2 shallow water (less tan 70 m depth) enlargement of the Eastern Brazilian shelf, off southern Bahia and northern Espírito Santo States. The region encompasses the largest and richest Southwestern Atlantic coral reefs. Emerging and quasi emerging reefs are distributed in two arcs (nearshoreand offshore, 10–20 km and 70 km from the shoreline, respectively), and are surrounded by soft sediments, rhodoliths and low-lying mesophotic reefs. Fringing reefs also occur around the five islands of the Abrolhos Archipelago.
Design Description Objectives: Evaluate the dynamics of benthic communities, associating them with climatic-oceanographic conditions. Assess impacts resulting from the Fundão Disaster. Evaluate chemical mediation in the structuring of reef communities and explore the biotechnological potential of selected species. Assess the dynamics of coral bleaching.

The personnel involved in the project:

Rodrigo Leão de Moura
  • Principal Investigator

Sampling Methods

We used fixed photo-quadrats demarcated with metal pins that are periodically replaced. Each benthic sampling unit is composed of a mosaic of 15 high resolution photos and covering ~70 cm2. Each sampling site has 10 sampling units. During the period monitored, some years and/or locations were not sampled due to logistical and funding constrains. Images were annotated semi-automatically with the deep neural network provided by the CoralNet platform*. Relative cover was estimated from the identification of benthic organisms below 30 random points distributed in each image (one photo-quadrat = a mosaic of 15 high resolution close-up images). Organisms were identified at nine broad taxonomic or functional groups and categorized either as slower-growing longer-lived reef builders [corals, crustose calcareous algae (CCA) and hydrocorals] or their faster-growing shorter-lived antagonists [(frondose macroalgae, turf, benthic cyanobacteria mats (BCM), zoanthids, sponges and “other organisms” (OO)]. * Beijbom O, Edmunds PJ, Roelfsema C, Smith J, Kline DI, Neal BP, et al. Towards automated annotation of benthic survey images: variability of human experts and operational modes of automation. PLoSOne. 2015; 10(7): e0130312. https://doi.org/10.1371/journal.pone.0130312 PMID: 26154157

Study Extent Monitored sites include five reefs in the Abrolhos Archipelago, a set of small volcanic islands ~55 km off the coast and within the Marine National Park. Data has been acquired since 2006, mostly during the Austral summer.
Quality Control We used an 80% confidence threshold (label accuracy: 95.4%, functional group accuracy: 96.9%, fraction above threshold: 53%) for the semi-automatic annotation carried out with the deep neural network of the CoralNet platform.

Method step description:

  1. Benthic sampling is described in Teixeira et al. (2021).

Additional Metadata

Alternative Identifiers 10.80366/gb111o
a8c87066-094f-44b1-9eb9-1f8e9394da01
https://training-ipt-a.gbif.org/resource?r=peld_abrolhos_test