A review of the NEMURO and NEMURO.FISH models and their application to marine ecosystem investigations |
| |
| Authors: | Michio J Kishi Shin-ichi Ito Bernard A Megrey Kenneth A Rose Francisco E Werner |
| |
| Institution: | (1) Faculty of Fisheries Sciences, Hokkaido University, N10 W5, Sapporo Hokkaido, 060-0810, Japan;(2) Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama Kanagawa, 236-0001, Japan;(3) Tohoku National Fisheries Research Institute, Fisheries Research Agency, 3-27-5 Shinhamacho, Shiogama Miyagi, 985-0001, Japan;(4) National Marine Fisheries Service, Alaska Fisheries Science Center, 7600 Sandpoint Way NE, Bin C15700, Seattle, WA 98115-0070, USA;(5) Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA;(6) Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901, USA;(7) Present address: National Marine Fisheries Service, Southwest Fisheries Science Center, 3333 Torrey Pines Ct., La Jolla, CA 92037, USA |
| |
| Abstract: | The evolution of the North Pacific Ecosystem Model for Understanding Regional Oceanography (NEMURO) family of models to study
marine ecosystems is reviewed. Applications throughout the North Pacific have shown the models to be robust and to be able
to reproduce 1D, 2D and 3D components of nutrient, carbon cycle and biogeochemical cycles as well as aspects of the lower
trophic levels ecosystem (phyto- and zooplankton). NEMURO For Including Saury and Herring, an extension that includes higher
trophic levels, can be run uncoupled or coupled to NEMURO. In the uncoupled mode, the growth and weight of an individual fish
is computed using plankton densities simulated by NEMURO but with no feedback between fish consumption and plankton mortality.
In the coupled mode, the feeding, growth and weight of a representative fish are computed, and prey removals due to feeding
by fish appear as mortality terms on the prey. The NEMURO family of models continues to evolve, including effects of the microbial
loop and iron limitation at lower trophic levels, and full life cycle, multi-species and multi-generational simulations at
higher trophic levels. We outline perspectives for future end-to-end modeling efforts that can be used to study marine ecosystems
in response to global environmental change. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
