Regime changes in ecological systems: an information theory approach

Fath, Brian D.; Cabezas, Heriberto; Pawlowski, Christopher W.

doi:10.1016/s0022-5193(03)00067-5

Cited by 99 publications

(88 citation statements)

References 9 publications

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“…Complex systems exhibit multiple dynamic regimes (Fath et al 2003). The range of possible movements within a dynamic regime that can occur without generating a bifurcation is the domain of attraction (Ludwig et al 2002).…”

Section: Regime Shifts In Complex Systemsmentioning

confidence: 99%

Panarchy: Discontinuities Reveal Similarities in the Dynamic System Structure of Ecological and Social Systems

Garmestani¹,

Allen²,

Gunderson³

2009

E&S

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Section: Regime Shifts In Complex Systemsmentioning

confidence: 99%

Panarchy: Discontinuities Reveal Similarities in the Dynamic System Structure of Ecological and Social Systems

Garmestani¹,

Allen²,

Gunderson³

2009

E&S

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“…This temporal aspect is not captured by LCIA indicators nor the other integrated metrics being used in this study. Fisher information (FI), a key method in information theory, provides a method of monitoring changes in system variables by collapsing them into an index that can be tracked over time to capture the dynamic behavior of a system to include its regimes and regime shifts [61]. FI affords the ability to assess movement toward and away from sustainability by evaluating the time series data from social, economic and environmental variables that have been compiled to describe changes in the behavior of the system over time.…”

Section: Fisher Informationmentioning

confidence: 99%

Integrated Metrics for Improving the Life Cycle Approach to Assessing Product System Sustainability

et al. 2014

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Life cycle approaches are critical for identifying and reducing environmental burdens of products. While these methods can indicate potential environmental impacts of a product, current Life Cycle Assessment (LCA) methods fail to integrate the multiple impacts of a system into unified measures of social, economic or environmental performance related to sustainability. Integrated metrics that combine multiple aspects of system performance based on a common scientific or economic principle have proven to be valuable for sustainability evaluation. In this work, we propose methods of adapting four integrated metrics for use with LCAs of product systems: ecological footprint, emergy, green net value added, and Fisher information. These metrics provide information on the full product system in land, energy, monetary equivalents, and as a unitless information index; each bundled with one or more indicators for reporting. When used together and for relative comparison, integrated metrics provide a broader coverage of sustainability aspects from multiple theoretical perspectives that is more likely to illuminate potential issues than individual impact indicators. These integrated metrics are recommended for use in combination with traditional indicators used in LCA. Future work will test and demonstrate the value of using these integrated metrics and combinations to assess product system sustainability.

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“…It is a key method in Information Theory and provides a means of monitoring system variables in order to assess the dynamic order of a system . The form of FI used in this work was derived by Fath et al (2003) and Mayer et al (2007) as:…”

Section: Fisher Informationmentioning

confidence: 99%

The characterization of socio-political instability, development and sustainability with Fisher information

Karunanithi

Garmestani

Eason

et al. 2011

Global Environmental Change

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Regime changes in ecological systems: an information theory approach

Cited by 99 publications

References 9 publications

Panarchy: Discontinuities Reveal Similarities in the Dynamic System Structure of Ecological and Social Systems

Panarchy: Discontinuities Reveal Similarities in the Dynamic System Structure of Ecological and Social Systems

Integrated Metrics for Improving the Life Cycle Approach to Assessing Product System Sustainability

The characterization of socio-political instability, development and sustainability with Fisher information

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