Preliminary Assessment of a Coupled Dynamic-Energy Budget and Agent-based Model (DEB-ABM) for Predicting Individual and Population-Level Dynamics: A Case Study on Anchovy, Engraulis japonicus
文献类型： 外文期刊
作者： Liao, Baochao 1 ; Shan, Xiujuan 2 ; Chen, Yunlong 2 ;
作者机构： 1.Shandong Univ, Dept Math & Stat, Weihai 264209, Shandong, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266237, Shandong, Peoples R China
3.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao 266071, Shandong, Peoples R China
关键词： Dynamic energy budget; Agent-based model; Fishery surveys; Engraulis japonicus
期刊名称：PAKISTAN JOURNAL OF ZOOLOGY （ 影响因子：0.79； 五年影响因子：0.713 ）
ISSN： 0030-9923
年卷期： 2021 年 53 卷 3 期
页码：
收录情况： SCI
摘要： Dynamic energy budget (DEB; also known as Kooijman-Metz DEB) theory is a well-tested framework for modelling energy acquisition, and for describing vital rates at which organisms acquire and use energy, such as for growth and reproduction. The coupling of a DEB with an agent-based model (generating a DEB- ABM) enables examination of the effects of environmental change at a population-level on a species to be examined. The present study applied a DEB-ABM to the Japanese anchovy Engraulis japonicus. The DEB-ABM accurately captured energy acquisition and allocation throughout the anchovy lifecycle (egg, yolk sac larva, exogenous feeding larva, juvenile, and adult) and predicted how individuallevel processes affect energy dynamics at higher levels of biological organization. We estimated primary model parameters (e.g., energy conductance,.; allocation coefficient,.; and volume-specific somatic maintenance, [(p) over dot(M)]), and for a 5-year simulation, calculated a mean population growth rate (r(p)) of 3.4 year(-1). When DEB theory is combined with an ABM, the combined model describes the dynamics of a population of individuals, where each individual follows an energy budget model. Predicted demographic rates (growth, survival, reproduction) fall within observed ranges, fit average recorded values, and captured known seasonal trends. The DEB-ABM correlated intrinsic and density-independent population growth rates, and may be useful for predicting the metabolic responses of individuals or populations to environmental change.
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