Suppr超能文献

墨西哥特万特佩克湾与虾拖网渔业相关鱼类的生物地理亲缘关系。

Biogeographical affinities of fish associated to the shrimp trawl fishery in the Gulf of Tehuantepec, Mexico.

作者信息

Martínez-Muñoz Marco A, Lloris Domènec, Gracia Adolfo, Ramírez-Murillo Ricardo, Sarmiento-Nafáte Saul, Ramos-Cruz Sebastián, Fernández Felipe

出版信息

Rev Biol Trop. 2016 Jun;64(2):683-700. doi: 10.15517/rbt.v64i2.19034.

Abstract

Fish by-catch of shrimp fishery from the Gulf of Tehuantepec is composed of several species that are mainly discarded. In this study, fish by-catch species composition, distribution and biogeographical affinities were analyzed. For this, a total of 15 cruises were carried out on the continental shelf, at depths from 15 to 64 m, during 2003, 2004, 2005 and 2013. Results showed that fish by-catch was represented by 58 families, 129 genera and 242 species. The families Haemulidae, Sciaenidae, Paralichthyidae, Gerreidae and Carangidae accounted for > 70 % of the catch. Haemulopsis axillaris, Syacium ovale, Selene peruviana, Diapterus peruvianus, Larimus acclivins and Stellifer erycimba were the most frequent species at < 40 m depth (inner shelf), and Prionotus stephanophrys, Scorpaena russula, Porichthys analis and Synodus scituliceps were dominant at 40-60 m depth (outer shelf). Analysis of biogeographical affinities showed that 36.1 % of species had a wide distribution, from San Diego Province to the Panamic Province, while 13.2 % had a restricted distribution in the Mexican and Panamic Provinces. The ichthyofaunal composition was markedly influenced by the local environment and seasonal conditions.

摘要

特万特佩克湾虾类渔业的兼捕鱼类由多个主要被丢弃的物种组成。在本研究中,对兼捕鱼类的物种组成、分布及生物地理亲缘关系进行了分析。为此,在2003年、2004年、2005年和2013年期间,共在大陆架上进行了15次巡航,深度为15至64米。结果表明,兼捕鱼类由58个科、129个属和242个物种组成。石鲈科、鲱科、牙鲆科、银鲈科和鲹科占兼捕量的70%以上。腋斑拟石鲈、卵形犬牙石首鱼、秘鲁月鲹、秘鲁笛鲷、斜口裸颊鲷和艾氏锯盖鱼是40米深度以下(内大陆架)最常见的物种,而斯蒂芬氏锯鲂鮄、赤鲉、臀斑孔头鲷和细纹狗母鱼在40 - 60米深度(外大陆架)占主导地位。生物地理亲缘关系分析表明,36.1%的物种分布广泛,从圣地亚哥省到泛美省,而13.2%的物种在墨西哥和泛美省分布受限。鱼类区系组成明显受当地环境和季节条件的影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验