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欧洲标准刺网采样中的生物量和丰度偏差。

Biomass and abundance biases in European standard gillnet sampling.

作者信息

Šmejkal Marek, Ricard Daniel, Prchalová Marie, Říha Milan, Muška Milan, Blabolil Petr, Čech Martin, Vašek Mojmír, Jůza Tomáš, Monteoliva Herreras Agustín, Encina Lourdes, Peterka Jiří, Kubečka Jan

机构信息

Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Institute of Hydrobiology, České Budějovice, Czech Republic; Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.

Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Institute of Hydrobiology, České Budějovice, Czech Republic.

出版信息

PLoS One. 2015 Mar 20;10(3):e0122437. doi: 10.1371/journal.pone.0122437. eCollection 2015.

DOI:10.1371/journal.pone.0122437
PMID:25793776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4368622/
Abstract

The European Standard EN 14757 recommends gillnet mesh sizes that range from 5 to 55mm (knot-to-knot) for the standard monitoring of fish assemblages and suggests adding gillnets with larger mesh sizes if necessary. Our research showed that the recommended range of mesh sizes did not provide a representative picture of fish sizes for larger species that commonly occur in continental Europe. We developed a novel, large mesh gillnet which consists of mesh sizes 70, 90, 110 and 135mm (knot to knot, 10m panels) and assessed its added value for monitoring purposes. From selectivity curves obtained by sampling with single mesh size gillnets (11 mesh sizes 6 - 55mm) and large mesh gillnets, we identified the threshold length of bream (Abramis brama) above which this widespread large species was underestimated by European standard gillnet catches. We tested the European Standard gillnet by comparing its size composition with that obtained during concurrent pelagic trawling and purse seining in a cyprinid-dominated reservoir and found that the European Standard underestimated fish larger than 292mm by 26 times. The inclusion of large mesh gillnets in the sampling design removed this underestimation. We analysed the length-age relationship of bream in the Římov Reservoir, and concluded that catches of bream larger than 292mm and older than five years were seriously underrepresented in European Standard gillnet catches. The Římov Reservoir is a typical cyprinid-dominated water body where the biomass of bream > 292mm formed 70% of the pelagic trawl and purse seine catch. The species-specific relationships between the large mesh gillnet catch and European Standard catch suggested that the presence of carp (Cyprinus carpio), European catfish (Silurus glanis), tench (Tinca tinca) or bream warrants the use of both gillnet types. We suggest extending the gillnet series in the European Standard to avoid misinterpretation of fish community biomass estimates.

摘要

欧洲标准EN 14757推荐用于鱼类群落标准监测的刺网网目尺寸范围为5至55毫米(结节到结节),并建议在必要时增加更大网目尺寸的刺网。我们的研究表明,推荐的网目尺寸范围并不能代表欧洲大陆常见的较大鱼类的尺寸情况。我们开发了一种新型的大网目刺网,其网目尺寸为70、90、110和135毫米(结节到结节,10米网片),并评估了其在监测方面的附加价值。通过使用单网目尺寸刺网(11种网目尺寸,6 - 55毫米)和大网目刺网进行采样获得的选择性曲线,我们确定了鲷鱼(Abramis brama)的阈值长度,超过该长度,这种分布广泛的大型鱼类在欧洲标准刺网捕捞量中被低估。我们通过比较欧洲标准刺网的尺寸组成与在以鲤科鱼类为主的水库中同时进行的中层拖网和围网捕捞所获得的尺寸组成,对欧洲标准刺网进行了测试,发现欧洲标准刺网将大于292毫米的鱼类低估了26倍。在采样设计中加入大网目刺网消除了这种低估情况。我们分析了里莫夫水库中鲷鱼的体长 - 年龄关系,并得出结论,在欧洲标准刺网捕捞量中,大于292毫米且年龄超过5岁的鲷鱼捕捞量严重不足。里莫夫水库是一个典型的以鲤科鱼类为主的水体,其中大于292毫米的鲷鱼生物量占中层拖网和围网捕捞量的70%。大网目刺网捕捞量与欧洲标准捕捞量之间的物种特异性关系表明,鲤鱼(Cyprinus carpio)、欧洲鲶鱼(Silurus glanis)、丁鱥(Tinca tinca)或鲷鱼的存在表明两种刺网类型都应使用。我们建议扩展欧洲标准中的刺网系列,以避免对鱼类群落生物量估计的误解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/6f335e9bedb7/pone.0122437.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/331a47cdbfa0/pone.0122437.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/b927ea07f049/pone.0122437.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/8bd255c84c85/pone.0122437.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/6f335e9bedb7/pone.0122437.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/331a47cdbfa0/pone.0122437.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/b927ea07f049/pone.0122437.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/8bd255c84c85/pone.0122437.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb09/4368622/6f335e9bedb7/pone.0122437.g004.jpg

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