Fath B D, Patten B C, Choi J S
U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Sustainable Technology Division, Sustainable Environments Branch, 26 West Martin Luther King Drive, Cincinnati, OH 45268, USA.
J Theor Biol. 2001 Feb 21;208(4):493-506. doi: 10.1006/jtbi.2000.2234.
This paper summarizes, in the framework of network environ analysis, a set of analyses of energy-matter flow and storage in steady-state systems. The network perspective is used to codify and unify ten ecological orientors or extremal principles: maximum power (Lotka), maximum storage (Jørgensen-Mejer), maximum empower and emergy (Odum), maximum ascendency (Ulanowicz), maximum dissipation (Schneider-Kay), maximum cycling (Morowitz), maximum residence time (Cheslak-Lamarra), minimum specific dissipation (Onsager, Prigogine), and minimum empower to exergy ratio (Bastianoni-Marchettini). We show that, seen in this framework, these seemingly disparate extrema are all mutually consistent, suggesting a common pattern for ecosystem development. This pattern unfolds in the network organization of systems.
本文在网络环境分析的框架内,总结了一组对稳态系统中能量 - 物质流动与存储的分析。网络视角被用于编纂和统一十个生态导向因子或极值原理:最大功率(洛特卡)、最大存储(约根森 - 梅耶)、最大赋能与能值(奥德姆)、最大优势度(乌兰诺维茨)、最大耗散(施耐德 - 凯)、最大循环(莫罗维茨)、最大停留时间(切斯拉克 - 拉马拉)、最小比耗散(昂萨格、普里戈金)以及最小赋能与火用比(巴斯蒂亚诺尼 - 马尔凯蒂尼)。我们表明,在此框架下,这些看似不同的极值都是相互一致的,这暗示了生态系统发展的一种共同模式。这种模式在系统的网络组织中展现出来。