Trait-based approaches to zooplankton communities

被引:355
作者
Litchman, Elena [1 ,2 ]
Ohman, Mark D. [3 ]
Kiorboe, Thomas [2 ]
机构
[1] Michigan State Univ, Kellogg Biol Stn, Hickory Corners, MI 49060 USA
[2] Tech Univ Denmark, Natl Inst Aquat Resources, Ctr Ocean Life, DK-2920 Charlottenlund, Denmark
[3] Univ Calif San Diego, Scripps Inst Oceanog, Integrat Oceanog Div, San Diego, CA 92093 USA
基金
美国国家科学基金会;
关键词
functional trait; fitness; trade-off; zooplankton; DIEL VERTICAL MIGRATION; MARINE PLANKTONIC COPEPODS; FOOD QUALITY; CRUSTACEAN ZOOPLANKTON; DEVELOPMENT TIME; PREDATION RISK; EGG-PRODUCTION; GLOBAL RATES; GROWTH-RATES; RESTING EGGS;
D O I
10.1093/plankt/fbt019
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Zooplankton are major primary consumers and predators in most aquatic ecosystems. They exhibit tremendous diversity of traits, ecological strategies and, consequently, impacts on other trophic levels and the cycling of materials and energy. An adequate representation of this diversity in community and ecosystem models is necessary to generate realistic predictions on the functioning of aquatic ecosystems but remains extremely challenging. We propose that the use of trait-based approaches is a promising way to reduce complexity while retaining realism in developing novel descriptions of zooplankton in ecosystem models. Characterizing zooplankton traits and trade-offs will also be helpful in understanding the selection pressures and diversity patterns that emerge in different ecosystems along major environmental gradients. Zooplankton traits can be characterized according to their function and type. Some traits, such as body size and motility, transcend several functions and are major determinants of zooplankton ecological strategies. Future developments of trait-based approaches to zooplankton should assemble a comprehensive matrix of key traits for diverse groups and explore it for general patterns; develop novel predictive models that explicitly incorporate traits and associated trade-offs; and utilize these traits to explain and predict zooplankton community structure and dynamics under different environmental conditions, including global change scenarios.
引用
收藏
页码:473 / 484
页数:12
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