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Network calculations and ascendency based on eco-exergy

机译：基于生态能值的网络计算和上升

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摘要

Ascendency is an index of activity and organization in living systems calculated in terms of flows. The concern here is with how that quantity behaves when the flows in question are measured in terms of eco-exergy. The storage of eco-exergy has served as a goal function in assessing parameter values for structurally dynamic models, but network magnitudes and topologies can change in response to significant changes in the forcing functions. As storages are relatively insensitive to such changes, it is advisable in such cases to explore how changes in a flow variable, like ascendency, might capture network adaptations. It happens that changes in ascendency calculated in terms of flows of simple energy are small in comparison to corresponding variations in the storages of eco-exergy. But when ascendency is reckoned in terms of flows of eco-exergy, its changes in response to network changes are more comparable to those in the storages. Ascendency seems to be more sensitive to changes in flow topology, however, so that a combination of eco-exergy storage and eco-exergy ascendency would probably be most appropriate for situations where changes in flow topology are significant.
机译：升序是根据流量计算的生命系统中活动和组织的指数。这里关注的是，当根据生态能动量来衡量所讨论的流量时，该数量的行为如何。生态用能的存储已成为评估结构动态模型的参数值的目标功能，但是网络规模和拓扑结构可能会随着强制功能的重大变化而变化。由于存储对此类变化相对不敏感，因此建议在这种情况下探索流量变量的变化（如上升性）如何捕获网络适应性。发生的情况是，与简单的能量流的相应变化相比，根据简单能量流计算的上升变化很小。但是，如果从生态能动量的角度来考虑其优势，则其对网络变化的响应与存储中的变化具有可比性。然而，上升似乎对流动拓扑的变化更为敏感，因此，生态-能动存储和生态-上升的结合可能最适合流动拓扑变化显着的情况。

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