A comprehensive model-based index for identification of larval retention areas: A case study for Japanese anchovy Engraulis japonicus in the Yellow Sea. (September 2020)
- Record Type:
- Journal Article
- Title:
- A comprehensive model-based index for identification of larval retention areas: A case study for Japanese anchovy Engraulis japonicus in the Yellow Sea. (September 2020)
- Main Title:
- A comprehensive model-based index for identification of larval retention areas: A case study for Japanese anchovy Engraulis japonicus in the Yellow Sea
- Authors:
- Xing, Qinwang
Yu, Huaming
Yu, Haiqing
Sun, Peng
Liu, Yang
Ye, Zhenjiang
Li, Jianchao
Tian, Yongjun - Abstract:
- Highlights: A comprehensive model-based index considering both retention rate and time to quantify larvae retention level was introduced and used to detect larval retention areas (LRA). Some prominent LRAs of Japanese anchovy in the Yellow Sea were identified. This approach can be widely applied to other pelagic species and in other continental shelf regions. Abstract: Larval retention has been recognized as a key factor/process affecting the recruitment of many pelagic fish species and detection of the larval retention areas (LRAs) is thus of crucial importance for studies of both recruitment dynamics and of fisheries management. However, most studies in relation to larval retention have adopted either retention rate or time to represent retention level. In this study, a newly developed approach based on a Lagrangian particle-tracking algorithm coupled with a hydrodynamic model, thereby jointly considering both retention rate and time to quantify larvae retention level, was introduced and used to identify the prominent LRAs for Japanese anchovy Engraulis japonicus in the Yellow Sea. Four prominent LRAs were identified, two of which locating in the Southern Yellow Sea match well with the aggregation of Japanese anchovy larvae found in previous field surveys. The spatial–temporal variation of instantaneous retention rate was further analyzed and the contribution rates of spawning grounds to LRAs as well as sensitivity of pelagic larval duration to the LRAs were investigated.Highlights: A comprehensive model-based index considering both retention rate and time to quantify larvae retention level was introduced and used to detect larval retention areas (LRA). Some prominent LRAs of Japanese anchovy in the Yellow Sea were identified. This approach can be widely applied to other pelagic species and in other continental shelf regions. Abstract: Larval retention has been recognized as a key factor/process affecting the recruitment of many pelagic fish species and detection of the larval retention areas (LRAs) is thus of crucial importance for studies of both recruitment dynamics and of fisheries management. However, most studies in relation to larval retention have adopted either retention rate or time to represent retention level. In this study, a newly developed approach based on a Lagrangian particle-tracking algorithm coupled with a hydrodynamic model, thereby jointly considering both retention rate and time to quantify larvae retention level, was introduced and used to identify the prominent LRAs for Japanese anchovy Engraulis japonicus in the Yellow Sea. Four prominent LRAs were identified, two of which locating in the Southern Yellow Sea match well with the aggregation of Japanese anchovy larvae found in previous field surveys. The spatial–temporal variation of instantaneous retention rate was further analyzed and the contribution rates of spawning grounds to LRAs as well as sensitivity of pelagic larval duration to the LRAs were investigated. Meanwhile, the LRAs defined in this study can be also used to explain the aggregations of microzooplankton and green algae in the southern part of the Yellow Sea. This approach can be widely applied to other pelagic species during their planktonic stages, which may further provide implications for studies on recruitment dynamics and on marine protected areas (MPAs) in the Yellow Sea as well as in other continental shelf regions containing abundant fishery resources. … (more)
- Is Part Of:
- Ecological indicators. Volume 116(2020)
- Journal:
- Ecological indicators
- Issue:
- Volume 116(2020)
- Issue Display:
- Volume 116, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 116
- Issue:
- 2020
- Issue Sort Value:
- 2020-0116-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- Larvae retention -- Particle-tracking -- Marine protection areas -- Recruitment -- Fisheries management
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2020.106479 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18709.xml