Evolution and recent trends of Indian oil sardine research: A review

IF 4.8 2区 环境科学与生态学 Q1 OCEANOGRAPHY
Bhagyashree Dash, Sanjiba Kumar Baliarsingh, Alakes Samanta, Sidhartha Sahoo, Sudheer Joseph, T.M. Balakrishnan Nair
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引用次数: 0

Abstract

The Indian oil sardine (Sardinella longiceps, hereafter IOS) has a unique position in terms of its economic value. In the last decade, IOS has contributed about 15–20% to India's total marine fish landings. However, recently, a sharp decline has been observed in the annual landing of the resource, and it is on the verge of collapsing due to climatic and anthropogenic perturbations. Various researchers have observed a cyclic pattern of wide annual fluctuation for IOS. This review revealed a long history of IOS research dating back to 1924. To mine the information regarding past research on IOS, bibliometric analysis has been carried out to understand the growth of literature, research area focuses, and research requirements. This study highlights a noticeable shift in research focus regarding IOS. While earlier investigations centered primarily on the physiology and biochemical properties of sardine and sardine oil, contemporary research emphasizes oceanographic parameters in relation to the IOS life cycle. The evolution of research efforts now extends beyond taxonomic classification, encompassing ecological, fisheries, and environmental aspects. The study underscores an increasing awareness of the multifaceted challenges posed by climate change and anthropogenic activities, which have prompted a transition toward interdisciplinary research approaches aimed at IOS conservation. A notable gap identified in this study is the lack of comprehensive analyses on IOS habitat suitability, particularly under dynamic oceanographic conditions and environmental indicators critical for predicting IOS availability. Additionally, the study points to the potential application of advanced predictive modeling techniques, including regression-based models such as Generalized Linear Models (GLM) and Generalized Additive Models (GAM), as well as machine learning approaches like Boosted Regression Trees (BRT) and Random Forest (RF), to predict IOS abundance and distribution effectively.
印度油沙丁鱼研究的演变和最新趋势:综述
印度油沙丁鱼(Sardinella longiceps,以下简称 IOS)在经济价值方面具有独特的地位。在过去十年中,印度油沙丁鱼约占印度海洋鱼类上岸总量的 15-20%。但最近,由于气候和人为因素的干扰,该资源的年上岸量急剧下降,濒临崩溃。不同的研究人员都观察到了国际海洋观测系统每年波动幅度较大的周期性模式。这项研究显示,国际海洋观测系统的研究历史悠久,可追溯到 1924 年。为了挖掘过去有关内部监督办公室研究的信息,我们进行了文献计量分析,以了解文献的增长、研究领域的重点和研究要求。这项研究强调了有关内部监督办公室研究重点的明显转变。早期的研究主要集中于沙丁鱼和沙丁鱼油的生理和生化特性,而当代的研究则强调与 IOS 生命周期相关的海洋学参数。研究工作的演变现已超出了分类学的范畴,涵盖了生态、渔业和环境方面。这项研究强调,人们日益认识到气候变化和人为活动带来的多方面挑战,这促使人们转向以保护海洋观测系统为目标的跨学科研究方法。本研究发现的一个显著差距是缺乏对海洋观测系统栖息地适宜性的全面分析,特别是在动态海洋条件下,以及对预测海洋观测系统可用性至关重要的环境指标。此外,该研究还指出了先进预测建模技术的潜在应用,包括基于回归的模型,如广义线性模型(GLM)和广义相加模型(GAM),以及机器学习方法,如提升回归树(BRT)和随机森林(RF),以有效预测 IOS 的丰度和分布。
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来源期刊
Ocean & Coastal Management
Ocean & Coastal Management 环境科学-海洋学
CiteScore
8.50
自引率
15.20%
发文量
321
审稿时长
60 days
期刊介绍: Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels. We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts. Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.
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