Assessing fish assemblages in reed habitats of a large shallow lake—A comparison between gillnetting and electric fishing

垂钓 渔业 栖息地 波浪和浅水 地理 环境科学 商业捕鱼 生态学 海洋学 生物 地质学
作者
Tibor Erős,András Specziár,Panos M. Pardalos
出处
期刊:Fisheries Research [Elsevier]
卷期号:96 (1): 70-76 被引量:35
标识
DOI:10.1016/j.fishres.2008.09.009
摘要

Abstract To know the possible bias of different fishing methods is essential in fisheries management, ecology and conservation. In this study species number, abundance, biomass, length class distributions and predefined ecological features of fishes were compared across two data sets collected simultaneously using gillnet sampling and electric fishing in the reed habitats of the shallow and eutrophic Lake Balaton, Hungary. With increasing sample size, electric fishing proved to be more effective in detecting new species, and samples collected with this method were more species rich when standardized to the number of individuals collected. Ordinations based on relative abundance and biomass data indicated highly contrasting differences between the two methods. Bleak were caught by multi-mesh gillnets in much higher relative numbers. However, the shape and size selectivity of the gillnets also reinforced differences between the two methods. Size distribution data showed that gillnets caught relatively more middle-sized fish compared with electric fishing. Estimates of the abundance and biomass of non-native species by gillnetting and electric fishing differed, and differences were found in the proportions of various guilds (feeding, spawning and habitat). However, it was not possible to conclude which gear’s estimate is closer to reality. The study illustrates that reliance on single-gear surveys can be misleading in assessing fish assemblages in reed habitats of a large and shallow, eutrophic lake.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
胡梦园发布了新的文献求助30
刚刚
刚刚
桐桐应助77采纳,获得20
刚刚
刚刚
2秒前
2秒前
3秒前
bkagyin应助解靖宇采纳,获得10
3秒前
3秒前
段段发布了新的文献求助10
3秒前
彭于晏应助细心秀发采纳,获得10
6秒前
刘刘发布了新的文献求助10
7秒前
7秒前
隐形曼青应助young采纳,获得10
9秒前
小兵发布了新的文献求助10
9秒前
dannier应助8888拉采纳,获得10
10秒前
11秒前
11秒前
刘刘完成签到,获得积分20
12秒前
12秒前
JFFE完成签到 ,获得积分10
13秒前
谦谦神棍发布了新的文献求助10
13秒前
小欧文完成签到,获得积分10
14秒前
15秒前
默_古月发布了新的文献求助30
15秒前
rainsy发布了新的文献求助10
16秒前
2248388622发布了新的文献求助10
17秒前
17秒前
满意苠发布了新的文献求助10
21秒前
乐乐应助小兵采纳,获得30
22秒前
默_古月完成签到,获得积分10
22秒前
23秒前
三石盟约完成签到,获得积分10
25秒前
26秒前
科目三应助2248388622采纳,获得10
26秒前
在水一方应助bingbingsha采纳,获得10
26秒前
Sybil完成签到 ,获得积分10
27秒前
小吴同学关注了科研通微信公众号
28秒前
斯文败类应助呆萌的雪兰采纳,获得10
29秒前
30秒前
高分求助中
Востребованный временем 2500
The Three Stars Each: The Astrolabes and Related Texts 1500
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Les Mantodea de Guyane 800
Mantids of the euro-mediterranean area 700
The Oxford Handbook of Educational Psychology 600
有EBL数据库的大佬进 Matrix Mathematics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 纳米技术 物理 计算机科学 化学工程 基因 复合材料 遗传学 物理化学 免疫学 细胞生物学 催化作用 病理
热门帖子
关注 科研通微信公众号,转发送积分 3416011
求助须知:如何正确求助?哪些是违规求助? 3017735
关于积分的说明 8882350
捐赠科研通 2705345
什么是DOI,文献DOI怎么找? 1483501
科研通“疑难数据库(出版商)”最低求助积分说明 685735
邀请新用户注册赠送积分活动 680742