首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Modelling the predation,growth and population dynamics of fish within a spatially-resolved shelf-sea ecosystem model
Institution:1. Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli “Parthenope” and CoNISMa, Napoli, Italy;2. Department of Ocean Sciences, University of California, 1156 High Street, Santa Cruz, CA 95064, United States;3. Istituto di Scienze dell’Atmosfera e del Clima, Consiglio Nazionale delle Ricerche, UOS Roma, Italy;1. Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02137, USA;2. Ocean Sciences Department, University of California, 1156 High Street, Santa Cruz, CA 96064, USA
Abstract:The development and analysis of a fish population module within the European Regional Seas Ecosystem Model (ERSEM) is described. Fixed predation rates on ERSEM zooplankton and zoobenthos, which may be used in place of this dynamic module of fish, are described also. The dynamic module is age-structured, with state variables for the number of individuals and their weight, the latter partitioned into structural (skeletal, essentially) and remobilizable ‘reserve’ components. It is capable of prediction of observed patterns of both positive and negative changes in individual weight. The fish are modelled as one population for the whole North Sea, superimposed on the ERSEM box structure. Parameters have been derived from the literature where possible and, for herring, certain parameters have been adjusted to match independent estimates of growth in the field. Preliminary results show that herring growth rate depends inversely on biomass, when changes in the latter are caused by altered fishing mortality. The magnitude of these effects is in agreement with historical data for herring in the North Sea. The model is discussed in relation to previous attempts to model fish population dynamics, particularly in the North Sea.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号