Weight-to-weight conversion factors for benthic macrofauna: recent measurements from the Baltic and the North seas

The availability of standardised biomass data is essential for studying population dynamics, energy flows, fisheries and food web interactions. To make the estimates of biomass consistent, weight-to-weight conversion factors are often used, for example to translate more widely available measurements of wet weights into required dry weights and ash-free dry weight metrics. However, for many species and groups the widely applicable freely available conversion factors have until now remained very rough approximations with high degree of taxonomic generalisation. To close up this gap, here for the first time we publish the most detailed and statically robust list of ratios of wet weight (WW), dry weight (DW) and ash-free dry weight (AFDW). The dataset includes over 17 000 records of single measurements for 497 taxa. Along with aggregated calculations, enclosed reference information with sampling dates and geographical coordinates the dataset provides a broad opportunity for reuse and repurposing. It empowers the future user to do targeted sub-selections of data to best combine them with their own local data, instead of only having a single value of conversion factor per region. The dataset can thereby be used to quantify natural variability and uncertainty. The dataset is available via an unrestricted repository from https://doi.org/10.12754/data-2021-0002-01 (Gogina et al., 2021).

System and Life-Course Perspectives on Capability to Work and Capability Through Work

The capability approach is relevant to gaining a conceptual understanding of individuals’ abilities and motivation to work and to explore the potential consequences that various working conditions have for people when they reach old age. Here, the capability concept is complemented with system theory to understand the multi-component key resources for capability to work among older workers, and also the conversion factors – capability through work – at individual, micro, meso, macro and chrono-levels. The theoretical approach is exemplified by studies from the interdisciplinary field of work sciences. The chapter describes central working-life conditions, conversion factors for crafting capability to work and examples of patterns of interactions between capability to work and capability through work. To support practical applications, we suggest important conversion factors and patterns of interaction between capability to work and capability through working-life resources. In sum, having a reasonable degree of control and influence (freedom of choice) at work and opportunities to make individual deals and adjustments that match one’s values, abilities, competence and experience are important for individual preference of a long working life. This requires an organisation that focuses on the value of work and promotes a general learning climate through broad participation.

Empirical leucine-to-carbon conversion factors in north-eastern Atlantic waters (50–2000 m) shaped by bacterial community composition and optical signature of DOM

Microbial heterotrophic activity is a major process regulating the flux of dissolved organic matter (DOM) in the ocean, while the characteristics of this DOM strongly influence its microbial utilization and fate in the ocean. In order to broaden the vertical resolution of leucine-to-carbon conversion factors (CFs), needed for converting substrate incorporation into biomass production by heterotrophic bacteria, 20 dilution experiments were performed in the North Atlantic Ocean. We found a depth-stratification in empirical CFs values from epipelagic to bathypelagic waters (4.00 ± 1.09 to 0.10 ± 0.00 kg C mol Leu−1). Our results demonstrated that the customarily used theoretical CF of 1.55 kg C mol Leu−1 in oceanic samples can lead to an underestimation of prokaryotic heterotrophic production in epi- and mesopelagic waters, while it can overestimate it in the bathypelagic ocean. Pearson correlations showed that CFs were related not only to hydrographic variables such as temperature, but also to specific phylogenetic groups and DOM quality and quantity indices. Furthermore, a multiple linear regression model predicting CFs from relatively simple hydrographic and optical spectroscopic measurements was attempted. Taken together, our results suggest that differences in CFs throughout the water column are significantly connected to DOM, and also reflect differences linked to specific prokaryotic groups.

OP267 Evidence for Health Technology Assessment: The Capability Approach

IntroductionHealthcare services, such as cochlear implants and subsequent rehabilitation, aim to increase valuable activities and opportunities of those affected. Their impact may be inferred from the extent that they protect or restore capability, which reflects the real freedoms that people have to be or do things they have reason to value. Capability emerges from the dynamic interaction between available resources, individual, social, and environmental conversion factors, and functionings. This model sets the informational requirements of the capability approach.MethodsOn the basis of interviews with thirty-three hearing impaired children and thirty hearing peers, information on capability elements (values, resources, conversion factors, and functionings) was collected. Qualitative results were triangulated with standardized clinical audiological and psycholinguistic quantitative measures.ResultsHearing impaired children and their hearing peers concurred in terms of the doings and beings they valued, but differed in terms of conversion factors to realize capability. Parents of hearing impaired children played a more upfront role, hearing impairment predominated many areas of life, and communicating through hearing aids required more energy than was usually acknowledged by the people around them.ConclusionsThe capability approach offers opportunities not only to assess impact of technology on dimensions that are important to patients, but also to better understand the mechanisms that are involved in value generation.