PELD - ABRS | Avaliação e monitoramento dos recifes de Abrolhos

Occurrence
最新バージョン Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr により出版 5月 23, 2024 Sistema de Informação sobre a Biodiversidade Brasileira - SiBBr
ホーム:
http://www.abrolhos.org
公開日:
2024年5月23日
ライセンス:
CC-BY-NC 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード：

DwC ファイルとしてのデータ ダウンロード 1,656 レコード English で (50 KB) - 更新頻度: annually
EML ファイルとしてのメタデータ ダウンロード English で (37 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (14 KB)

説明

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

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、1,656 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

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

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は 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登録

このリソースは GBIF に登録されていません。

キーワード

Samplingevent; Abrolhos; Coral Reefs; Brazil; Occurrence

連絡先

Rodrigo Leão de Moura
  • 最初のデータ採集者 ●
  • データ利用者 ●
  • 連絡先
  • Professor
Universidade Federal do Rio de Janeiro
BR
Jana Menegassi del Favero
  • メタデータ提供者
  • Post doctoral researcher
Universidade Federal do Rio de Janeiro
BR
Carolina D’Ornellas Teixeira
  • メタデータ提供者 ●
  • 最初のデータ採集者
  • Technician
Universidade Federal do Rio de Janeiro
Jana Menegassi del Favero
  • メタデータ提供者
  • Post doctoral researcher
Universidade Federal do Rio de Janeiro
BR

地理的範囲

Data sampled in Abrolhos Marine National Park, Bahia, Brazil

座標（緯度経度） 南 西 [-17.973, -38.715], 北 東 [-17.959, -38.69]

生物分類学的範囲

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

時間的範囲

開始日 / 終了日 2006-01-01 / 2021-01-01

プロジェクトデータ

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.

タイトル PELD ABROLHOS: MONITORAMENTO DO MAIOR COMPLEXO CORALÍNEO DO ATL NTICO SUL
識別子 PELDABRS
ファンデイング 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.
研究の意図、目的、背景など（デザイン） 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.

プロジェクトに携わる要員:

Rodrigo Leão de Moura
  • 研究代表者

収集方法

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).

追加のメタデータ

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