您好，欢迎访问中国水产科学研究院 机构知识库！
中国水产科学研究院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

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.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国水产科学研究院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台