基于个体生态模型在渔业生态中应用研究进展

近年来, 基于个体的生态模型(individual-based model, IBM)被广泛应用到海洋生态环境中, 被认为可能是研究鱼类生态过程的唯一合理手段。基于个体生态模型以众多的生物个体为模拟对象, 考虑个体之间的差异、环境条件的时空变化对个体发育的影响,这一研究为基于生态系统的渔业管理, 以及资源补充量预测分析提供了科学的研究方法和手段。本文主要介绍了IBM的基本概念, 以及在渔业上的研究方法和技术, 总结了IBM在鱼类输运、生长死亡和捕食相关的应用研究现状以及IBM在渔业上未来发展趋势, 并对IBM在渔业上应用的问题和不足进行了分析和讨论。本论文的总结与分析将为国内开展我国近海鱼类早期生活史的研究, 以及基于生态系统的渔业资源评估管理提供参考。

Review of application of individual-based model to fishery ecosystem

In recent years, individual-based model (IBM) has been increasingly used to address issues in marine ecological environment because of its flexibility in incorporating different ecological processes. An IBM regards individual as a simulating unit, considering differences among individuals and influence of variability in spatial and temporal environmental conditions on individual development. This paper provides an overall review of scientific research in ecosystem-based fisheries management and resource recruitment forecasting. We introduced the basic concept, research methods and theory of IBM, and reviewed the status of research with the focus on the applications of larval transport, growth and mortality, prey-predation research using the IBM in fishery. Limitations associated with IBM approach are also discussed. We concluded that it is important for us to conduct interdisciplinary research between scientists in fisheries and other research areas to strengthen and improve our understanding of early life history dynamics for fish species in coastal waters of China, which is essential to develop an ecosystem-based management and assessment of fisheries resources.