A dynamic energy budget-integral projection model (DEB-IPM) to predict population-level dynamics based on individual data: a case study using the small and rapidly reproducing species Engraulis japonicus
文献类型： 外文期刊
作者： Liao, Baochao 1 ; Shan, Xiujuan 2 ; Zhou, Can 4 ; Han, Yanan 5 ; Chen, Yunlong 2 ; Liu, Qun 5 ;
作者机构： 1.Shandong Univ, Dept Math & Stat, Weihai 264209, Shandong, Peoples R China
2.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao 266071, Peoples R China
3.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266237, Peoples R China
4.Virginia Polytech Inst & State Univ, Dept Fisheries & Wildlife Conservat, Blacksburg, VA 24061 USA
5.Ocean Univ China, Dept Fisheries, Qingdao 266003, Peoples R China
关键词： environmental variability
期刊名称：MARINE AND FRESHWATER RESEARCH （ 影响因子：2.07； 五年影响因子：2.162 ）
ISSN： 1323-1650
年卷期： 2020 年 71 卷 4 期
页码：
收录情况： SCI
摘要： The coupling of a dynamic energy budget (DEB) model with an integral projection model (IPM; i.e. generating a DEB-IPM) is a promising new method to predict the population-level dynamics of species based on individuals. In a single framework, the DEB component provides links to the individual-level physiological processes, and the IPM component provides an alternative way to investigate ecological changes in quantitative life history characteristics and population dynamics. In this paper we present a DEB-IPM to analyse a Japanese anchovy (Engraulis japonicus) population in Chinese seas. The coupled model describes the dynamics of a population of individuals, where each individual follows an energy budget. Primary model parameters (e.g. energy conductance, ?; allocation coefficient, kappa; and volume-specific somatic maintenance, [;(M)]) were estimated. The mean population growth rate (r(p)) was calculated to be 3.4 year(-1). The predicted demographic rates (e.g. growth, survival and reproduction) were well within observed ranges, and fit within average recorded values, and captured known seasonal trends. DEB-IPMs could be a useful tool to capture the dynamics of biodiversity amidst global environmental changes.
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