PELD - ABRS | Avaliação e monitoramento dos recifes de Abrolhos

Событие
Последняя версия опубликовано Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr мая 23, 2024 Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr
Домой:
http://www.abrolhos.org
Дата публикации:
23 мая 2024 г.
Лицензия:
CC-BY-NC 4.0

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Описание

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

Записи данных

Данные этого occurrence ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 1 656 записей.

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr. Эта работа находится под лицензией Creative Commons Attribution Non Commercial (CC-BY-NC 4.0).

Регистрация в GBIF

Этот ресурс не был зарегистрирован в GBIF

Ключевые слова

Samplingevent; Abrolhos; Coral Reefs; Brazil; Occurrence

Контакты

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

Географический охват

Data sampled in Abrolhos Marine National Park, Bahia, Brazil

Ограничивающие координаты Юг Запад [-17,973, -38,715], Север Восток [-17,959, -38,69]

Таксономический охват

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

Временной охват

Дата начала / Дата окончания 2006-01-01 / 2021-01-01

Данные проекта

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.

Название PELD ABROLHOS: MONITORAMENTO DO MAIOR COMPLEXO CORALÍNEO DO ATL NTICO SUL
Идентификатор PELDABRS
Финансирование CNPq, FAPERJ, FAPES
Описание района исследования 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.
Описание плана выполнения исследований 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.

Исполнители проекта:

Rodrigo Leão de Moura
  • Principal Investigator

Методы сбора

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

Охват исследования 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.
Контроль качества 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.

Описание этапа методики:

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

Дополнительные метаданные

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