Throughflow analysis: A stochastic approach

Matamba, L.; Kazancı, Caner; Schramski, John R.; Blessing, M.; Alexander, Prof. A.; Patten, Bernard C.

doi:10.1016/j.ecolmodel.2009.07.001

Cited by 20 publications

(7 citation statements)

References 17 publications

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“…Recently in our program, alternative Lagrangian (microscopic) analyses have begun to emerge. We call these particle tracking (Matamba et al, 2009). Large populations of particles (thousands) are passed from inputs to outputs over both simple (no repeated nodes, hence acyclic) and compound (medially or terminally cyclic) paths in accordance with the time-forward, throughflow-based, defining equation dx/dt = BT + z (Fig.…”

Section: Background Methodology: Particle Trackingmentioning

confidence: 99%

Link tracking: Quantifying network flows from qualitative node–link digraphs

Patten¹

2015

Ecological Modelling

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Section: Background Methodology: Particle Trackingmentioning

confidence: 99%

Link tracking: Quantifying network flows from qualitative node–link digraphs

Patten¹

2015

Ecological Modelling

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“…Abarca-Arenas and Allesina and Ulanowicz, 2004;Kaufman and Borrett, 2010;Schramski et al, 2010). Multiple lines of investigation are building confidence in ENA results including the initial empirical validation by Dame and Christian (2008) and the agreement between the Eulerian approach used here and the Lagrangian approach of network particle tracking (Matamba et al, 2009), but continued rigorous empirical testing of network ecology hypotheses is essential. Loehle (1987) points out that this theory maturation is essential so that theory predictions clarify to the point that robust empirical test be successful.…”

Section: Discussionmentioning

confidence: 99%

“…This is part of a methodological maturation process in which investigators are finding relationships amongst the alternative analyses (input vs. output or throughflow vs. storage) and reconsidering initial assumptions that have become canalized (e.g. Schramski et al, 2010;Matamba et al, 2009). Here, we are not fully pruning the analytical options, but clarifying the consequences of alternative methods.…”

Section: Discussionmentioning

confidence: 99%

Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis

Borrett¹,

Freeze²,

Salas³

2011

Ecological Modelling

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A new understanding of the consequences of how ecosystem elements are interconnected is emerging from the development and application of Ecological Network Analysis. The relative importance of indirect effects is central to this understanding, and the ratio of indirect flow to direct flow (I/D) is one indicator of their importance. Two methods have been proposed for calculating this indicator. The unit approach shows what would happen if each system member had a unit input or output, while the realized technique determines the ratio using the observed system inputs or outputs. When using the unit method, the input oriented and output oriented ratios can be different, potentially leading to conflicting results. However, we show that the input and output oriented I/D ratios are identical using the realized method when the system is at steady state. This work is a step in the maturation of Ecological Network Analysis that will let it be more readily testable empirically and ultimately more useful for environmental assessment and management.

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“…It was derived from an economic IO analysis (Leontief, 1951) to study the structure and function of different members of an ecosystem. Since the first propositions made by Patten (1978) and Finn (1978), the ENA methodology has evolved and additional analyses were added to the model (Fath, 2007;Fath and Patten, 1998;Matamba et al, 2009;Patten, 1991). More recently, this method has been used in modeling hybrid socioeconomic and ecological systems from IO data (Li et al, 2018;Liang et al, 2018;Schaubroeck et al, 2012) and a few studies adapted ENA to engineered systems (Lu et al, 2015;Navarrete-Gutiérrez et al, 2016;Pizzol et al, 2013;Schaubroeck et al, 2012;Yang and Chen, 2016).…”

Section: Steps For Adapting Ecological Network Analysis To Engineered Systemsmentioning

confidence: 99%

Ecological network analysis of growing tomatoes in an urban rooftop greenhouse

Piezer

Petit‐Boix

Sanjuan-Delmás

et al. 2019

Science of The Total Environment

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Urban agriculture has emerged as an alternative to conventional rural agriculture seeking to foster a sustainable circular economy in cities. When considering the feasibility of urban agriculture and planning for the future of food production and energy, it is important to understand the relationships between energy flows throughout the system, identify their strengths and weaknesses, and make suggestions to optimize the system. To address this need, we analyzed the energy flows for growing tomatoes at a rooftop greenhouse (RTG). We used life cycle assessment (LCA) to identify the flows within the supply chain. We further analyzed these flows using ecological network analysis (ENA), which allowed a comparison of the industrial system to natural systems. Going beyond LCA, ENA also allowed us to focus more on the relationships between components. Similar to existing ENA studies on urban metabolism, our results showed that the RTG does not mimic the perfect pyramidal structure found in natural ecosystems due to the system's dependency on fossil fuels throughout the supply chain and each industry's significant impact on wasted energy. However, it was discovered that the RTG has strong foundational relationships in its industries, demonstrating overall positive utility; this foundation can be improved by using more renewable energy and increasing the recycling rates throughout the supply chain, which will in turn improve the hierarchy of energy flows and overall energy consumption performance of the system.

show abstract

Throughflow analysis: A stochastic approach

Cited by 20 publications

References 17 publications

Link tracking: Quantifying network flows from qualitative node–link digraphs

Link tracking: Quantifying network flows from qualitative node–link digraphs

Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis

Ecological network analysis of growing tomatoes in an urban rooftop greenhouse

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