Modeling dynamic interactions and coherence between marine zooplankton and fishes linked to environmental variability

被引:27
作者
Liu, Hui [1 ]
Fogarty, Michael J. [2 ]
Hare, Jonathan A. [3 ]
Hsieh, Chih-hao [4 ,7 ]
Glaser, Sarah M. [5 ]
Ye, Hao [6 ]
Deyle, Ethan [6 ]
Sugihara, George [6 ]
机构
[1] Texas A&M Univ, Dept Marine Biol, Galveston, TX 77553 USA
[2] NOAA, NMFS, Northeast Fisheries Sci Ctr, Woods Hole, MA 02543 USA
[3] NOAA, NMFS, Northeast Fisheries Sci Ctr, Narragansett, RI 02882 USA
[4] Natl Taiwan Univ, Inst Oceanog, Taipei 106, Taiwan
[5] Univ Denver, Korbel Sch Int Studies, Denver, CO 80210 USA
[6] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
[7] Natl Taiwan Univ, Inst Ecol & Evolutionary Biol, Taipei 106, Taiwan
基金
美国国家科学基金会; 美国海洋和大气管理局;
关键词
Copepods; Fish populations; Environmental variability; Dynamic interactions; Ecosystem dynamics; NONLINEAR DYNAMICS; GEORGES-BANK; FLUCTUATIONS; BIODIVERSITY; CHAOS; POPULATION; ABUNDANCE; PATTERNS; IMPACT; ERROR;
D O I
10.1016/j.jmarsys.2013.12.003
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The dynamics of marine fishes are closely related to lower trophic levels and the environment. Quantitatively understanding ecosystem dynamics linking environmental variability and prey resources to exploited fishes is crucial for ecosystem-based management of marine living resources. However, standard statistical models typically grounded in the concept of linear system may fail to capture the complexity of ecological processes. We have attempted to model ecosystem dynamics using a flexible, nonparametric class of nonlinear forecasting models. We analyzed annual time series of four environmental indices, 22 marine copepod taxa, and four ecologically and commercially important fish species during 1977 to 2009 on Georges Bank, a highly productive and intensively studied area of the northeast U.S. continental shelf ecosystem. We examined the underlying dynamic features of environmental indices and copepods, quantified the dynamic interactions and coherence with fishes, and explored the potential control mechanisms of ecosystem dynamics from a nonlinear perspective. We found: (I) the dynamics of marine copepods and environmental indices exhibiting clear nonlinearity; (2) little evidence of complex dynamics across taxonomic levels of copepods; (3) strong dynamic interactions and coherence between copepods and fishes; and (4) the bottom-up forcing of fishes and top-down control of copepods coexisting as target trophic levels vary. These findings highlight the nonlinear interactions among ecosystem components and the importance of marine zooplankton to fish populations which point to two forcing mechanisms likely interactively regulating the ecosystem dynamics on Georges Bank under a changing environment. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:120 / 129
页数:10
相关论文
共 49 条
[1]   Why fishing magnifies fluctuations in fish abundance [J].
Anderson, Christian N. K. ;
Hsieh, Chih-Hao ;
Sandin, Stuart A. ;
Hewitt, Roger ;
Hollowed, Anne ;
Beddington, John ;
May, Robert M. ;
Sugihara, George .
NATURE, 2008, 452 (7189) :835-839
[2]  
[Anonymous], SCIENCE
[3]  
[Anonymous], ADV MARINE BIOL
[4]  
Azarovitz T.R., 1981, Canadian Special Publication of Fisheries and Aquatic Sciences, V58, P62
[5]   Reorganization of North Atlantic marine copepod biodiversity and climate [J].
Beaugrand, G ;
Reid, PC ;
Ibañez, F ;
Lindley, JA ;
Edwards, M .
SCIENCE, 2002, 296 (5573) :1692-1694
[6]   Plankton effect on cod recruitment in the North Sea [J].
Beaugrand, G ;
Brander, KM ;
Lindley, JA ;
Souissi, S ;
Reid, PC .
NATURE, 2003, 426 (6967) :661-664
[7]   Non-linear dynamics in marine-phytoplankton population systems [J].
Belgrano, A ;
Lima, M ;
Stenseth, NC .
MARINE ECOLOGY PROGRESS SERIES, 2004, 273 :281-289
[8]   Chaos in a long-term experiment with a plankton community [J].
Beninca, Elisa ;
Huisman, Jef ;
Heerkloss, Reinhard ;
Johnk, Klaus D. ;
Branco, Pedro ;
Van Nes, Egbert H. ;
Scheffer, Marten ;
Ellner, Stephen P. .
NATURE, 2008, 451 (7180) :822-U7
[9]   Identifying the density-dependent structure underlying ecological time series [J].
Berryman, A ;
Turchin, P .
OIKOS, 2001, 92 (02) :265-270
[10]   The Art of Ecological Modeling [J].
Boyd, Ian L. .
SCIENCE, 2012, 337 (6092) :306-307