Metabolic ecology in aquatic ecosystems: Viewed from trophic compartments and communities in food webs

IF 2 4区 生物学 Q2 BIOLOGY
Ichiro Aoki
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引用次数: 0

Abstract

A different perspective in metabolic ecology is presented using food web data, based on trophic compartments and communities in aquatic ecosystems (coastal areas, shelves and estuaries in marine ecosystems, and lake ecosystems), including primary producers (phytoplankton and aquatic plants). The relationships among the metabolic traits (biomass, respiration and production) in aquatic communities are expressed through power laws, hence, the value of one of the three metabolic traits provides the values of the other two. Noteworthily, these metabolic traits (biomass, respiration, production) are related to those of primary producers according to various power laws. That is: the metabolic traits of communities can be estimated from those of primary producers alone. These power laws appear to be universal in marine ecosystems but vary among different lake ecosystems.
水生生态系统的代谢生态学:从食物网的营养区隔和群落看。
利用基于水生生态系统(沿海地区、海洋生态系统中的陆架和河口以及湖泊生态系统)的营养区和群落,包括初级生产者(浮游植物和水生植物)的食物网数据,提出了代谢生态学的不同观点。水生群落的代谢性状(生物量、呼吸和产量)之间的关系是通过幂律来表达的,因此,三个代谢性状中的一个的值提供了其他两个的值。值得注意的是,这些代谢特征(生物量、呼吸、产量)根据各种幂律与初级生产者的代谢特征相关。即:群落的代谢特性可以仅由初级生产者的代谢特性来估计。这些幂律似乎在海洋生态系统中是普遍的,但在不同的湖泊生态系统中有所不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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