Ecosystems emerging:

Jørgensen, Sven Erik; Patten, Bernard C.; Straškraba, Milan

doi:10.1016/s0304-3800(00)00268-4

Cited by 188 publications

(93 citation statements)

References 36 publications

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“…Differences in temperature and pressure between system and environment are small, so we can ignore them in our calculations. The maximal input to exergetic constituent of ecological system will be done due to chemical energy, stored in organic matter and biological structures (Jørgensen et al, 2000;Jørgensen, Fath, 2011;Jørgensen, 2011). Taking into account this concept Eco-Exergy index can be calculated basing on chemical energy: state.…”

Section: Eco-exergy Calculationmentioning

confidence: 99%

“…Originally (Jørgensen, 1992(Jørgensen, , 2002Jørgensen et al, 2000) P i,а was determined basing on number of informative (structural) genes (each gene codes the sequence of 700 aminoacids in average) for various taxonomic groups:…”

Section: Eco-exergy Calculationmentioning

confidence: 99%

“…Corresponding coefficients were calculated for many systematic groups and published (Jørgensen, 1992;Bendoricchio & Jørgensen, 1997;Jørgensen et al, 2000). These coefficients reflect relative complexity of organisms (simpler organisms have lower β values).…”

Section: Eco-exergy Calculationmentioning

confidence: 99%

See 2 more Smart Citations

Some Applications of Thermodynamics for Ecological Systems

Silow¹,

Mokry²,

Jørgensen³

2011

Thermodynamics - Interaction Studies - Solids, Liquids and Gases

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Section: Eco-exergy Calculationmentioning

confidence: 99%

Section: Eco-exergy Calculationmentioning

confidence: 99%

See 1 more Smart Citation

Some Applications of Thermodynamics for Ecological Systems

Silow¹,

Mokry²,

Jørgensen³

2011

Thermodynamics - Interaction Studies - Solids, Liquids and Gases

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“…The analysis of three thermodynamic laws expressions in ecological rules together with exergy analysis led to formulation of the Fourth (Ecological) Law of Thermodynamics, describing -as an ecosystem, in addition to the growth of biomass, also can develop by increasing the ecological network and the information content of the ecosystem, it is possible for ecosystems to move further away from thermodynamic equilibrium -increase the content of eco-exergy, even the maximum respiration rate has been achieved [3,49,51,[65][66][67][68][69]. This exergy maximization principle applicability to ecosystems was proven by series of model researches [70][71][72].…”

Section: Applications Of Exergy To Specific Problems Of Theoretical Ementioning

confidence: 99%

Exergy as a Tool for Ecosystem Health Assessment

Silow

Mokryy

2010

Entropy

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Abstract:Exergy is demonstrated to be a useful measurable parameter reflecting the state of the ecosystem, and allowing estimation of the severity of its anthropogenous damage. Exergy is shown to have advantages such as good theoretical basis in thermodynamics, close relation to information theory, rather high correlation with others ecosystem goal functions and relative ease of computation. Nowadays exergy is often used in ecological assessment. This paper reviews the application of exergy in ecology in the fields of ecological modeling and natural ecosystem monitoring. Special attention is paid to the use of exergy for aquatic ecosystem studies, particularly, assessment of the lake Baikal ecosystem state.

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“…Intermediate water flow may increase the uptake of nutrients (Biggs et al 1998;Townsend et al 2012) and support the recolonisation of epilithic algae (Jørgensen et al 2000), thus increasing their biomass and/or biodiversity. In addition, very high levels of water flow may eliminate algal cover on the bedrock and sediments, reduce standing stocks, and change community structure in streams and rivers (Robinson and Uehlinger 2008).…”

Section: Introductionmentioning

confidence: 99%

The effects of storm-induced events on the seasonal dynamics of epilithic algal biomass in subtropical mountain streams

Tsai

Chuang

et al. 2014

Mar. Freshwater Res.

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Abstract. Information concerning the drivers of seasonal variation in algal biomass in subtropical mountain streams is limited. To identify the drivers of biomass dynamics for epilithic algae, a 20-month study was conducted in mountain streams in Taiwan, an area characterised by different levels of riparian vegetation coverage and agricultural activity, in which a process-based model was optimally fit to field data. We found that episodic typhoon-induced floods were the major drivers shaping the seasonal variations in algal biomass. Flow-induced detachment was frequently observed in periods of higher algal biomass. In contrast, an increased flow stimulated algal growth during periods with slower flow rates. Increased temperature stimulated algal growth at sites with an open canopy cover and higher light availability but constrained biomass at sites with dense canopy shading. Overall, scraper biomass exerted less influence on algal biomass than did environmental factors. The effects of grazing were visible only at the pristine, low-stream-order site in winter. The effects of minimal algal biomass required for recovery was comparable to environmental factors only at sites with intermediate canopy cover, moderate discharge, and higher nutrient concentrations. We suggest that agricultural activity and riparian vegetation can affect epilithic algal biomass in subtropical mountain streams.

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Ecosystems emerging:

Cited by 188 publications

References 36 publications

Some Applications of Thermodynamics for Ecological Systems

Some Applications of Thermodynamics for Ecological Systems

Exergy as a Tool for Ecosystem Health Assessment

The effects of storm-induced events on the seasonal dynamics of epilithic algal biomass in subtropical mountain streams

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