Exploring the Drivers of Spatiotemporal Patterns in Fish Community in a Non-Fed Aquaculture Reservoir

水产养殖 浮游植物 渔业 非生物成分 营养水平 浮游动物 环境科学 饲料鱼 养鱼业 垂钓 浮游生物 生态学 生物 营养物
作者
Gongpei Wang,Shilei Sang,Zanhu Zhou,Dapeng Wang,Xin Chen,Yusen Li,Chuanbo Guo,Lei Zhou
出处
期刊:Diversity [Multidisciplinary Digital Publishing Institute]
卷期号:15 (8): 886-886 被引量:1
标识
DOI:10.3390/d15080886
摘要

Non-fed aquaculture is an important contributor to low environmental impact protein production. However, knowledge of spatiotemporal patterns of the fish community in non-fed fishery systems remains limited, despite their ecological importance for sustainable aquaculture and fisheries. To elucidate the status of the fisheries and their critical drivers in non-fed fishery systems, hydroacoustic surveys were conducted seasonally in Hongchaojiang Reservoir in two seasons (spring and autumn) of two consecutive years: 2018 and 2019. Results showed that the average fish density in Hongchaojiang Reservoir was 121.6 ind./1000 m3. Fish communities varied significantly between geographical locations and seasons. On the temporal scale, fish densities in October were higher than those in April. On the spatial scale, fish densities were higher in the upstream (S1 and S3) than those in the midstream (S2, S4, S5, S6), while the density of S7, S8 and S9 in the downstream was the lowest. Trophic level index, zooplankton, chlorophyll-a, and phytoplankton play vital roles in fish distributional patterns, while the target strength, which reflects fish body size, was highly associated with water temperature, dissolved oxygen, total organic carbon, and phytoplankton. These results suggest that the spatiotemporal distribution of the fish community in Hongchaojiang Reservoir was jointly influenced by biotic and abiotic variables of water bodies, and highlight the importance of water nutrient levels and food availability in shaping fish distribution in the non-fed aquaculture system. This study should improve our understanding of ecological patterns and dominant drivers in fish stocks and provide information for successful sustainable management in non-fed purification fisheries.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
默默发布了新的文献求助10
1秒前
sinan发布了新的文献求助20
2秒前
初景应助tatting采纳,获得20
3秒前
彭于晏应助Dshary采纳,获得10
4秒前
4秒前
5秒前
图苏完成签到,获得积分10
8秒前
8秒前
ww不迷糊完成签到 ,获得积分10
10秒前
辛勤月饼完成签到,获得积分10
11秒前
11秒前
12秒前
一一完成签到,获得积分10
14秒前
元气少女猪刚鬣完成签到,获得积分10
15秒前
SciGPT应助辛勤月饼采纳,获得10
15秒前
fengruidage发布了新的文献求助10
17秒前
科研通AI6.2应助123采纳,获得10
18秒前
一一发布了新的文献求助10
18秒前
李健的小迷弟应助YinChutong采纳,获得10
19秒前
爆米花应助八九寺采纳,获得10
20秒前
爆米花应助星河采纳,获得10
20秒前
NexusExplorer应助认真的寒香采纳,获得10
20秒前
Tao关闭了Tao文献求助
21秒前
23秒前
丘比特应助guanyc采纳,获得10
23秒前
qiqi完成签到,获得积分10
24秒前
24秒前
26秒前
负责的问枫完成签到 ,获得积分10
28秒前
星辰大海应助Even采纳,获得30
29秒前
29秒前
30秒前
远不止这些完成签到,获得积分10
31秒前
31秒前
GWZZ发布了新的文献求助10
32秒前
33秒前
33秒前
农夫果园发布了新的文献求助10
34秒前
eri完成签到,获得积分10
35秒前
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Research Methods for Applied Linguistics 500
Picture Books with Same-sex Parented Families Unintentional Censorship 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6413366
求助须知:如何正确求助?哪些是违规求助? 8232292
关于积分的说明 17474439
捐赠科研通 5466109
什么是DOI,文献DOI怎么找? 2888153
邀请新用户注册赠送积分活动 1864855
关于科研通互助平台的介绍 1703108