Reducing the energy penalty of CO2 capture and compression using pinch analysis

Integration of CO₂ capture and storage (CCS) into coal-fired power stations is seen as a way of significantly reducing the carbon emissions from stationary sources. A large proportion of the estimated cost of CCS is because of the additional energy expended to capture the CO₂ and compress it for transport and storage, reducing the energy efficiency of the power plant. This study uses pinch analysis and heat integration to reduce the overall energy penalty and, therefore, the cost of implementing CCS for power plants where the additional heat and power for the CCS plant will be provided by the existing power plant. A combined pinch analysis and linear programming optimisation are applied to determine targets for the energy penalty of existing power plants. Two existing pulverised brown coal power plants with new CCS plants using solvent absorption are used as the basis for the study that show the energy penalty can be reduced by up to 50% by including effective heat integration. The energy penalty can be further reduced by pre-drying the coal.     

High diversity of deep-sea Gromia from the Arabian Sea revealed by small subunit rDNA sequence analysis

Gromia is a large marine protist with filose pseudopodia and ovoid test, common in coastal intertidal and sublittoral waters. Although deep-water Gromia-like morphospecies were discovered in the 1990s, their relations to the shallow water species have never been established. Moreover, very little is known about the diversity within Gromia, reflecting the fact that these morphologically relatively simple protists have few characters useful for species identification. Consequently, we have analysed the SSU rDNA and ITS rDNA genes to examine gromiid diversity in two different areas located on the Oman and Pakistan margins of the Arabian Sea (water depths 1,000–2,000 m). In total, 27 deep-sea gromiid sequences of the SSU rDNA gene and six sequences of the ITS rDNA region were obtained. Our data confirm that Gromia-like protists from the bathyal deep sea are related to the shallow-water gromiids. Within Arabian Sea Gromia, we identified seven distinctive lineages, five of which form a monophyletic group branching as a sister group to shallow-water species. Six lineages of Arabian Sea Gromia can be defined morphologically, while one lineage includes specimens that look identical to specimens from two other lineages. This indicates that each Gromia lineage represents probably a separate species and suggests that deep-sea gromiid diversity is higher than indicated by their simple morphology.     

Social network theory: new insights and issues for behavioral ecologists

Until recently, few studies have used social network theory (SNT) and metrics to examine how social network structure (SNS) might influence social behavior and social dynamics in non-human animals. Here, we present an overview of why and how the social network approach might be useful for behavioral ecology. We first note four important aspects of SNS that are commonly observed, but relatively rarely quantified: (1) that within a social group, differences among individuals in their social experiences and connections affect individual and group outcomes; (2) that indirect connections can be important (e.g., partners of your partners matter); (3) that individuals differ in their importance in the social network (some can be considered keystone individuals); and (4) that social network traits often carry over across contexts (e.g., SN position in male–male competition can influence later male mating success). We then discuss how these four points, and the social network approach in general, can yield new insights and questions for a broad range of issues in behavioral ecology including: mate choice, alternative mating tactics, male–male competition, cooperation, reciprocal altruism, eavesdropping, kin selection, dominance hierarchies, social learning, information flow, social foraging, and cooperative antipredator behavior. Finally, we suggest future directions including: (1) integrating behavioral syndromes and SNT; (2) comparing space use and SNS; (3) adaptive partner choice and SNS; (4) the dynamics and stability (or instability) of social networks, and (5) group selection shaping SNS. This contribution is part of the special issue “Social networks: new perspectives” (Guest Editors: J. Krause, D. Lusseau and R. James).     

The appraisal of sustainability: Some problems and possible responses

The development of 'indicators' and associated techniques for the appraisal of 'sustainability' requires efforts to systematically define, quantify and aggregate many disparate dimensions of social, environmental and economic performance. This necessarily raises a number of serious theoretical and methodological difficulties, including those relating to the selection and framing of 'problems' and 'options', the treatment of deep uncertainties and the 'impossibility' of aggregating in analysis the divergent social interests and value judgements which govern the prioritisation of the different dimensions of 'sustainability'. After exploring the depth and scope of some of these difficulties, this paper argues that they render futile any attempt to develop an 'analytical fix' for the problems of appraisal. In this light, systematic public participation is recognised not just as an issue of political efficacy and legitimacy, but also as a fundamental matter of analytical rigour. However, it is also concluded that once aspirations to the 'analytical fix' are renounced, there is much that might be contributed by transparent, straightforward quantitative analytical tools and the paper ends with some recommendations and an example in this regard.     

A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration

The increasing complexity of ecosystem models represents a major difficulty in tuning model parameters and analyzing simulated results. To address this problem, this study develops a hierarchical scheme that simplifies the Biome-BGC model into three functionally cascaded tiers and analyzes them sequentially. The first-tier model focuses on leaf-level ecophysiological processes; it simulates evapotranspiration and photosynthesis with prescribed leaf area index (LAI). The restriction on LAI is then lifted in the following two model tiers, which analyze how carbon and nitrogen is cycled at the whole-plant level (the second tier) and in all litter/soil pools (the third tier) to dynamically support the prescribed canopy. In particular, this study analyzes the steady state of these two model tiers by a set of equilibrium equations that are derived from Biome-BGC algorithms and are based on the principle of mass balance. Instead of spinning-up the model for thousands of climate years, these equations are able to estimate carbon/nitrogen stocks and fluxes of the target (steady-state) ecosystem directly from the results obtained by the first-tier model. The model hierarchy is examined with model experiments at four AmeriFlux sites. The results indicate that the proposed scheme can effectively calibrate Biome-BGC to simulate observed fluxes of evapotranspiration and photosynthesis; and the carbon/nitrogen stocks estimated by the equilibrium analysis approach are highly consistent with the results of model simulations. Therefore, the scheme developed in this study may serve as a practical guide to calibrate/analyze Biome-BGC; it also provides an efficient way to solve the problem of model spin-up, especially for applications over large regions. The same methodology may help analyze other similar ecosystem models as well.     

Adaptive sex allocation by brood reduction in antechinuses

Antechinuses (Dasyuridae: Marsupialia) exhibit dramatic interpopulation variation in the sex ratio at birth, a pattern which has previously been interpreted in terms of both local resource competition and Trivers/Willard effects. However, Antechinus stuartii usually fail to wean all the young that attach to their teats. At least in captivity, this is because they often eat their young. In free-living populations, brood reduction affects sons and daughters differently. Mothers virtually always wean some daughters. The probability that a daughter will be weaned declines with the number of daughters in the pouch. The health or quality of the mother does not affect the number of daughters weaned. By contrast, mothers tend to wean all or none of their sons. A strong correlate of infanticide against sons is senescence. Old mothers rarely invest in sons, and produce low-quality daughters. Mothers suffer a direct cost (mortality during lace lactation) of male-biased litters. Coupled with data on prenatal sex allocation, these results support the conjoint influence of local resource competition and the Trivers-Willard effect. However, they suggest that in populations where females are largely semelparous, the population optimum generated by local resource competition may be unattainable, because of the importance of producing at least one daughter. These observations support recent theoretical claims that the sex ratio at the population level is not easily predicted, but suggest that the diversity of mammalian sex allocation tactics has been underestimated.