• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

巴西深海大陆架的底栖生物地理分布模式。

Benthic biogeographic patterns on the deep Brazilian margin.

机构信息

Departamento de Oceanografia e Ecologia, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil.

出版信息

PeerJ. 2023 Feb 27;11:e14585. doi: 10.7717/peerj.14585. eCollection 2023.

DOI:10.7717/peerj.14585
PMID:36874960
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9979832/
Abstract

The Brazilian continental margin (BCM) extends from the Tropical to the Subtropical Atlantic Ocean, with much of its seafloor within deep waters, supporting rich geomorphological features and under wide productivity gradients. Deep-sea biogeographic boundaries on the BCM have been limited to studies that used water mass and salinity properties of deep-water masses, partly as a result of historical under sampling and a lack of consolidation of available biological and ecological datasets. The aim of this study was to consolidate benthic assemblage datasets and test current oceanographic biogeographical deep-sea boundaries (200-5,000 m) using available faunal distributions. We retrieved over 4,000 benthic data records from open-access databases and used cluster analysis to examine assemblage distributions against the deep-sea biogeographical classification scheme from Watling et al. (2013). Starting from the assumption that vertical and horizontal distribution patterns can vary regionally, we test other schemes incorporating latitudinal and water masses stratification within the Brazilian margin. As expected, the classification scheme based on benthic biodiversity is in overall agreement with the general boundaries proposed by Watling et al. (2013). However, our analysis allowed much refinement in the former boundaries, and here we propose the use of two biogeographic realms, two provinces and seven bathyal ecoregions (200-3,500 m), and three abyssal provinces (>3,500 m) along the BCM. The main driver for these units seems to be latitudinal gradients as well as water mass characteristics such as temperature. Our study provides a significant improvement of benthic biogeographic ranges along the Brazilian continental margin allowing a more detailed recognition of its biodiversity and ecological value, and also supports the needed spatial management for industrial activities occurring in its deep waters.

摘要

巴西大陆边缘(BCM)从热带延伸到亚热带大西洋,其大部分海底都位于深水区,拥有丰富的地貌特征和广泛的生产力梯度。BCM 的深海生物地理边界仅限于使用深水团的水团和盐度特性进行的研究,部分原因是历史上采样不足以及缺乏对现有生物和生态数据集的整合。本研究的目的是整合底栖生物群数据集,并使用现有动物群分布来检验当前海洋生物地理深海边界(200-5,000 米)。我们从开放获取的数据库中检索了超过 4,000 个底栖数据记录,并使用聚类分析来根据 Watling 等人(2013 年)的深海生物地理分类方案检查集合体的分布。从垂直和水平分布模式可能会在区域上变化的假设出发,我们测试了其他方案,这些方案将纬度和水团分层纳入了巴西边缘。不出所料,基于底栖生物多样性的分类方案总体上与 Watling 等人(2013 年)提出的一般边界一致。然而,我们的分析允许在前边界上进行更多的细化,在这里,我们建议使用两个生物地理区域、两个省份和七个半深海生态区(200-3,500 米),以及三个深海省份(>3,500 米)来沿着 BCM。这些单位的主要驱动因素似乎是纬度梯度以及水团特征,如温度。我们的研究为巴西大陆边缘的底栖生物地理范围提供了重大改进,使人们能够更详细地认识其生物多样性和生态价值,并支持在其深水区开展工业活动所需的空间管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/96d107bbb77c/peerj-11-14585-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/fab5f5b60544/peerj-11-14585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/9eb86bb0ecf6/peerj-11-14585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/cc672ead0fa7/peerj-11-14585-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/b871d4fc13ba/peerj-11-14585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/ab7c2e7c2a97/peerj-11-14585-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/137b0d9d3e41/peerj-11-14585-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/b9396ed94ce0/peerj-11-14585-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/96d107bbb77c/peerj-11-14585-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/fab5f5b60544/peerj-11-14585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/9eb86bb0ecf6/peerj-11-14585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/cc672ead0fa7/peerj-11-14585-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/b871d4fc13ba/peerj-11-14585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/ab7c2e7c2a97/peerj-11-14585-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/137b0d9d3e41/peerj-11-14585-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/b9396ed94ce0/peerj-11-14585-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/9979832/96d107bbb77c/peerj-11-14585-g008.jpg

相似文献

1
Benthic biogeographic patterns on the deep Brazilian margin.巴西深海大陆架的底栖生物地理分布模式。
PeerJ. 2023 Feb 27;11:e14585. doi: 10.7717/peerj.14585. eCollection 2023.
2
Hydroids (Cnidaria, Hydrozoa) from Mauritanian Coral Mounds.来自毛里塔尼亚珊瑚丘的水螅虫纲动物(刺胞动物门,水螅虫纲)。
Zootaxa. 2020 Nov 16;4878(3):zootaxa.4878.3.2. doi: 10.11646/zootaxa.4878.3.2.
3
A source-sink hypothesis for abyssal biodiversity.深海生物多样性的源-汇假说。
Am Nat. 2005 Feb;165(2):163-78. doi: 10.1086/427226. Epub 2004 Dec 22.
4
Explaining bathymetric diversity patterns in marine benthic invertebrates and demersal fishes: physiological contributions to adaptation of life at depth.解释海洋底栖无脊椎动物和底层鱼类的测深多样性模式:深度生活适应的生理贡献。
Biol Rev Camb Philos Soc. 2014 May;89(2):406-26. doi: 10.1111/brv.12061. Epub 2013 Oct 4.
5
Biodiversity of the deep-sea continental margin bordering the Gulf of Maine (NW Atlantic): relationships among sub-regions and to shelf systems.缅因湾(北大西洋西北)大陆边缘深海生物多样性:各子区域与大陆架系统的关系。
PLoS One. 2010 Nov 19;5(11):e13832. doi: 10.1371/journal.pone.0013832.
6
Biogeography, diversity and environmental relationships of shelf and deep-sea benthic Amphipoda around Iceland.冰岛周边陆架和深海底栖端足类动物的生物地理学、多样性及与环境的关系。
PeerJ. 2021 Aug 11;9:e11898. doi: 10.7717/peerj.11898. eCollection 2021.
7
Investigating the environmental drivers of deep-seafloor biodiversity: A case study of peracarid crustacean assemblages in the Northwest Atlantic Ocean.探究深海海底生物多样性的环境驱动因素:以西北大西洋的糠虾甲壳类动物群落为例
Ecol Evol. 2019 Nov 27;9(24):14167-14204. doi: 10.1002/ece3.5852. eCollection 2019 Dec.
8
Connectivity between surface and deep waters determines prokaryotic diversity in the North Atlantic Deep Water.表层水与深层水之间的连通性决定了北大西洋深层水中原核生物的多样性。
Environ Microbiol. 2016 Jun;18(6):2052-63. doi: 10.1111/1462-2920.13237. Epub 2016 Mar 30.
9
Assessment of spatial patterns in benthic macrofauna of the U.S. west coast continental shelf.美国西海岸大陆架底栖大型动物空间格局评估。
J Biogeogr. 2018;45(12):2701-2717. doi: 10.1111/jbi.13451.
10
First insights into the biodiversity and biogeography of the Southern Ocean deep sea.对南大洋深海生物多样性和生物地理学的初步认识。
Nature. 2007 May 17;447(7142):307-11. doi: 10.1038/nature05827.

本文引用的文献

1
Global marine biodiversity in the context of achieving the Aichi Targets: ways forward and addressing data gaps.在实现爱知目标背景下的全球海洋生物多样性:前进方向与数据缺口应对
PeerJ. 2019 Oct 29;7:e7221. doi: 10.7717/peerj.7221. eCollection 2019.
2
Latitudinal and bathymetrical species richness patterns in the NW Pacific and adjacent Arctic Ocean.西北太平洋及毗邻北极海域的纬度和水深物种丰富度模式。
Sci Rep. 2019 Jun 26;9(1):9303. doi: 10.1038/s41598-019-45813-9.
3
Dissimilarity measures affected by richness differences yield biased delimitations of biogeographic realms.
受丰富度差异影响的相异度测量会产生有偏差的生物地理区域划分。
Nat Commun. 2018 Nov 30;9(1):5084. doi: 10.1038/s41467-018-06291-1.
4
Mapping knowledge gaps in marine diversity reveals a latitudinal gradient of missing species richness.绘制海洋生物多样性知识空白图揭示了物种丰富度缺失的纬度梯度。
Nat Commun. 2018 Nov 9;9(1):4713. doi: 10.1038/s41467-018-07217-7.
5
Large-scale patterns of benthic marine communities in the Brazilian Province.巴西海域底层海洋生物群落的大规模模式。
PLoS One. 2018 Jun 8;13(6):e0198452. doi: 10.1371/journal.pone.0198452. eCollection 2018.
6
Marine biogeographic realms and species endemicity.海洋生物地理区域与物种特有性。
Nat Commun. 2017 Oct 20;8(1):1057. doi: 10.1038/s41467-017-01121-2.
7
Deep risks from offshore development.近海开发带来的深层风险。
Science. 2017 Oct 20;358(6361):312. doi: 10.1126/science.aaq0779.
8
The deep ocean under climate change.气候变化下的深海
Science. 2015 Nov 13;350(6262):766-8. doi: 10.1126/science.aad0126.
9
Understanding continental margin biodiversity: a new imperative.了解大陆边缘生物多样性:新的必要条件。
Ann Rev Mar Sci. 2012;4:79-112. doi: 10.1146/annurev-marine-120709-142714.
10
Limitations of mitochondrial gene barcoding in Octocorallia.线粒体基因条形码在八放珊瑚中的局限性。
Mol Ecol Resour. 2011 Jan;11(1):19-31. doi: 10.1111/j.1755-0998.2010.02875.x.