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Abstract. Reference values of facial features in white Scandinavian children were ascertained using a newly developed range-camera technique with a threedimensional measuring program specifically designed for anthropometric measurements. Seven facial features in 613 healthy subjects (322 girls, 291 boys), aged 1 month to 18 years, and nine subjects with the fetal alcohol syndrome, aged 7 to 18 years, were studied. Data were analysed by multivariate multiple regression and measurements of each facial feature plotted against age and presented as curves, with 95% and 99% univariate prediction limits. All children with fetal alcohol syndrome had shorter palpebral fissures, and in six of them the outer canthal distance was shorter than that in the reference group. The reference values presented may be useful in clinical practice -for example, in the evaluation of children with syndromes that result in dysmorphology of the face and in the planning of plastic and reconstructive surgery.

Soil contamination is one of the major threats constraining proper functioning of the soil and thus provision of ecosystem services. Remedial actions typically only address the chemical soil quality by reducing total contaminant concentrations to acceptable levels guided by land use. However, emerging regulatory requirements on soil protection demand a holistic view on soil assessment in remediation projects thus accounting for a variety of soil functions. Such a view would require not only that the contamination concentrations are assessed and attended to, but also that other aspects are taking into account, thus addressing also physical and biological as well as other chemical soil quality indicators (SQIs). This study outlines how soil function assessment can be a part of a holistic sustainability appraisal of remediation alternatives using multi-criteria decision analysis (MCDA). The paper presents a method for practitioners for evaluating the effects of remediation alternatives on selected ecological soil functions using a suggested minimum data set (MDS) containing physical, biological and chemical SQIs. The measured SQIs are transformed into sub-scores by the use of scoring curves, which allows interpretation and the integration of soil quality data into the MCDA framework. The method is demonstrated at a study site (Marieberg, Sweden) and the results give an example of how soil analyses using the suggested MDS can be used for soil function assessment and subsequent input to the MCDA framework.