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Wetland methane responses to temperature and precipitation are studied in a boreal wetland-rich region in northern Europe using ecosystem process models. Six ecosystem models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5, and CLM5) are compared to multi-model means of ecosystem models and atmospheric inversions from the Global Carbon Project and upscaled eddy covariance flux results for their temperature and precipitation responses and seasonal cycles of the regional fluxes. Two models with contrasting response patterns, LPX-Bern and JSBACH-HIMMELI, are used as priors in atmospheric inversions with Carbon Tracker Europe–CH4 (CTE-CH4) in order to find out how the assimilation of atmospheric concentration data changes the flux estimates and how this alters the interpretation of the flux responses to temperature and precipitation. Inversion moves wetland emissions of both models towards co-limitation by temperature and precipitation. Between 2000 and 2018, periods of high temperature and/or high precipitation often resulted in increased emissions. However, the dry summer of 2018 did not result in increased emissions despite the high temperatures. The process models show strong temperature and strong precipitation responses for the region (51 %–91 % of the variance explained by both). The month with the highest emissions varies from May to September among the models. However, multi-model means, inversions, and upscaled eddy covariance flux observations agree on the month of maximum emissions and are co-limited by temperature and precipitation. The setup of different emission components (peatland emissions, mineral land fluxes) has an important role in building up the response patterns. Considering the significant differences among the models, it is essential to pay more attention to the regional representation of wet and dry mineral soils and periodic flooding which contribute to the seasonality and magnitude of methane fluxes. The realistic representation of temperature dependence of the peat soil fluxes is also important. Furthermore, it is important to use process-based descriptions for both mineral and peat soil fluxes to simulate the flux responses to climate drivers.

Peatland management practices, such as drainage and restoration, have a strong effect on boreal peatland methane (CH4) fluxes. Furthermore, CH4 fluxes are strongly controlled by local environmental conditions, such as soil hydrology, temperature and vegetation, which are all experiencing considerable changes due to climate change. Both management practices and climate change are expected to influence peatland CH4 fluxes during this century, but the magnitude and net impact of these changes is still insufficiently understood. In this study, we simulated the impacts of two forest management practices, rotational forestry and continuous cover forestry, as well as peatland restoration, on hypothetical forestry-drained peatlands across Finland using the land surface model JSBACH (Jena Scheme for Biosphere–Atmosphere Coupling in Hamburg) coupled with the soil carbon model YASSO and a peatland methane model HIMMELI (Helsinki Model of Methane Buildup and Emission for Peatlands). We further simulated the impacts of climatic warming using two RCP (Representative Concentration Pathway) emission scenarios, RCP2.6 and RCP4.5. We investigated the responses of CH4 fluxes, soil water-table level (WTL), soil temperatures and soil carbon dynamics to changes in management practices and climate. Our results show that management practices have a strong impact on peatland WTLs and CH4 emissions that continues for several decades, with emissions increasing after restoration and clearcutting. Towards the end of the century, WTLs increase slightly, likely due to increasing precipitation. CH4 fluxes have opposing trends in restored and drained peatlands. In restored peatlands, CH4 emissions decrease towards the end of the century following decomposition of harvest residue in the top peat layers despite increasing WTLs, while in drained peatland forests sinks get weaker and occasional emissions become more common, likely due to rising WTLs and soil temperatures. The strength of these trends varies across the country, with CH4 emissions from restored peatlands decreasing more strongly in southern Finland, and forest soil CH4 sinks weakening most in northern Finland.

This study examined several early childhood education and care (ECEC) factors and their relation to children's salivary cortisol slope and hair cortisol concentration (HCC). The study is part of the cross-sectional DAGIS study, conducted in 2015-2016, examining 66 preschools and 677 children aged 3-6 years in Finland. Two saliva samples from one childcare day and a hair sample were collected from the children. Educators' education level, perceived stress, and occupational well-being factors, group size, child-adult ratio, and amount of childcare per week were assessed by questionnaires filled in by educators and guardians. Higher educators' education level was associated with a higher likelihood of children having a declining salivary cortisol slope. Educators with higher perceived stress were associated with a lower likelihood of children having a declining cortisol slope, but the result was attenuated in the adjusted model. Child-adult ratio was negatively associated with HCC. The results indicate that educators' higher education level and possibly lower stress associate with a favourable cortisol profile in children, suggesting less stress. These factors should receive attention when considering children's stress at childcare.

This study examined longitudinal associations between parental psychological distress (stress and depression) when the child was 2 to 4 years and a child's emotional and behavioural problems at ages 3 to 4, and social functioning (loneliness and social competence) at age 11 in very preterm born children. The participants were Finnish families of 172 very preterm infants (gestational age < 32 weeks and/or birth weight [less than or equal to] 1500 g). In girls, higher levels of maternal depression were associated with higher levels of social and emotional loneliness. Furthermore, higher levels of maternal stress and children's externalizing problems were associated with lower levels of experienced empathy. In boys, higher levels of paternal depression were associated with lower levels of social loneliness and impulsive behaviour. In conclusion, early parental psychological distress is associated with early socioemotional development and the later experienced social functioning in former very preterm infants. The sex of the child moderates these associations.

This descriptive case study examined how teaching practices were evidenced in Grade 1 classrooms in two different cultural and educational contexts, Finland and Japan. Teachers' teaching practices were video-recorded in 53 classrooms in Finland and six classrooms in Japan and rated with the Early Childhood Classroom Observation Measure by trained investigators. Four Finnish teachers and two Japanese teachers having the highest scores in either child-centered or teacher-directed practices were selected for a descriptive case study to take a closer look at how teaching practices in terms of management, climate, and instruction are evidenced in authentic classroom situations. The analysis revealed some similarities and disparities in how teacher-directed and child-centered practices are reflected in classroom situations in the two countries. For example, in Japan, teachers favoring child-centered practices asked more open-ended questions and encouraged brainstorming and group discussions, whereas the Finnish teachers emphasized socio-emotional skills. The results suggest that cultural values may play a role in how teachers create a positive climate, implement instruction, and organize activities in the classroom.

Process-based land surface models are important tools for estimating global wetland methane (CH4) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis to identify the dominant time scales contributing to model uncertainty in the frequency domain. We evaluate seven wetland models at 23 eddy covariance tower sites. Our study first characterizes site-level patterns of freshwater wetland CH4 fluxes (FCH4) at different time scales. A Monte Carlo approach was developed to incorporate flux observation error to avoid misidentification of the time scales that dominate model error. Our results suggest that (a) significant model-observation disagreements are mainly at multi-day time scales (32 days) for the boreal and Arctic tundra wetland sites but have significant bias in variability at seasonal time scales for temperate and tropical/subtropical sites; (c) model errors exhibit increasing power spectrum as time scale increases, indicating that biases at time scales

ObjectivesThe aim of this umbrella review was to investigate the frequency of physical activity-related injuries (PARI) among adolescents. Our secondary objective was to describe the available reviews of injuries in three settings: organized sports, leisure time physical activity (PA), and school physical education (PE).MethodsWe conducted an overview of reviews consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines on the frequency of physical activity related injuries in adolescents.ResultsWe identified 19 systematic reviews with at least moderate quality to include in the review. We were not able to pool data from reviews and conduct meta-analysis due to heterogeneity of injury definitions, exposure times, and sample demographics. All reviews included studies of injuries sustained in organized sports, and injury incidence was higher during matches than training. No systematic reviews were found focusing on leisure time or school-based PA injuries.ConclusionHigh-quality research is essential to understand the frequency of various types of physical activity related injuries among adolescents in organized sports, PE, and leisure time activities to develop more effective prevention strategies.

BackgroundChildren’s eating behaviors, including a tendency towards overeating, are strongly influenced by the family. Children prone to overeating are at a high risk of excessive weight gain, which can lead to further adverse health outcomes. Therefore, identifying factors that contribute to overeating is crucial for promoting healthy weight development. Given the inconsistencies in previous research, mostly involving young children, we investigated the child and parental characteristics associated with overeating in preadolescence.MethodsThe cross-sectional study included 5,973 preadolescents aged 9–12 years from the Finnish Health in Teens (Fin-HIT) cohort. A tendency towards overeating was based on a parent-reported question. We utilized extensive parent questionnaire and Medical Birth Register data, and used ordinal and stepwise logistic regression to identify the independent determinants of overeating.ResultsThe proportion of preadolescents with a parent-reported tendency towards overeating was 10% (n = 606). In the multivariable model, boys had higher odds of overeating (OR 1.30, 95% CI 1.06–1.58) compared with girls. Preadolescents with overweight and obesity had 9- and 30-fold odds (95% CI 7.31–11.29 and 20.07–44.54, respectively) of overeating compared with healthy-weight preadolescents. Furthermore, parental depression and emotional feeding increased the odds of overeating in the preadolescent (OR 1.48, 95% CI 1.08–2.02 and OR 1.27, 95% CI 1.03–1.57).ConclusionAlong with child weight status and sex, parental depression and emotional feeding were independently associated with overeating in preadolescence. Therefore, it is important to support parents’ mental health and their healthy feeding practices. Our findings can be targeted to manage overeating and prevent overweight in children and adolescents.

This paper explores the environmental impacts of retaining or replacing buildings by extending the consequential replacement framework (CRF) for life-cycle assessment (LCA) from individual buildings towards the urban scale. It addresses a gap in previous studies by examining the broader consequences of building-level retention or replacement decisions in the built environment, namely greenhouse gas (GHG) emissions from associated infrastructure construction. The case study, which is located in Finland, investigates alternative ways to densify a growing city, some of which can be achieved within the urban structure, while others require greenfield construction elsewhere in the city. The results reveal that refurbishing and extending already existing buildings is worthwhile in terms of GHG emissions, even if some of the additional floor area targeted in densification were to be built on a greenfield site. After 50 years, the accumulated GHG emissions of scenarios that develop existing buildings are 0.2–12% less than those from replacement scenarios, depending on whether the targeted densification is minor or major and the amount of infrastructure construction involved. This is primarily due to the 11–35% smaller upfront embodied GHG emissions of refurbishment compared with new construction—which 50 years do not offset. Policy relevance This paper reinforces the notion from previous research that developing the existing building stock holds major emission-savings potential, even more so than replacement with energy-efficient new build. It highlights the potential contribution of existing building stocks in low-emission city development, even in growing city contexts. The case study results challenge the common belief in urban planning that if replacement involves densification, it must be a more low-emission alternative than retention, and conversely, if retention leads to greenfield construction, it must be higher in emissions than replacement. Low-emission urban planning should base its conclusions on urban LCA. This paper introduces an infrastructure-extended CRF that accounts for building retention and replacement scenarios, ensuring methodological robustness. The approach is essential for policymakers to base their decisions on evidence and prioritise low-emission development alternatives. Which policymakers hold power over such decisions and which instruments are suitable to pursue these goals depend on the context.

Inland transportation of Liquified Petroleum Gas (LPG) is often carried out using road tankers. An accident during road transport may lead to an unintended discharge of LPG on the road, which could mix with the surrounding air to form a flammable fuel-air cloud. This cloud is normally characterized by an irregular shape and non-uniform concentration, depending on factors such as geometrical and meteorological conditions and the properties of the leakage. Furthermore, the presence of vehicles on the road may significantly affect the dispersion and concentration of the cloud and may cause partial confinement or obstruction of the cloud, which could potentially become a source of dangerous gas explosions on the road. This paper presents a numerical study of dispersion of LPG in a road environment following an unintended leakage from a road tanker. The work was conducted using the computational fluid dynamics (CFD) code FLACS-CFD. The purpose was to quantify the extension of the gas cloud within the flammability limits for different leak properties, wind conditions, and traffic layout. For each case, an equivalent gas cloud with a regular shape and stoichiometric concentration was determined using the Q9 cloud model. Based on the results, recommendations for the choice of equivalent gas volume for different standard scenarios are presented.

Aims Obstructive sleep apnoea (OSA) imposes significant stress on the cardiovascular system and the heart. While long-term cardiac effects are understood, the immediate impact of hypoxaemia on the heart's electrophysiology lacks understanding. Our study aims to explore desaturation severity on cardiovascular repolarisation. Methods We retrospectively analysed ECGs from full diagnostic polysomnographies from 492 patients with suspected OSA. The analyses were conducted before, during and after 9137 nocturnal apnoea- or hypopnoea-related desaturations. The mean and sd of T-wave amplitude change from the baseline level to the level during and after desaturations (ΔTamp_mean and ΔTamp_SD) were calculated. To investigate the modulatory effects of desaturation severity, the data were divided into subgroups based on the desaturation duration (Tdes; 10 s≤Tdes

When assessing children in laboratory experiments, the measured responses also contain task-irrelevant participant-level variability (“noise”) and measurement noise. Since experimental data are used to make inferences of development of cognitive capabilities with age, it is important to know if reliability of the used measurements depends on child age. Any systematic age-dependent changes in reliability could result in misleading developmental trajectories, as lower reliability will necessarily result in smaller effect sizes. This paper examines age-dependency of task-independent measurement variability in early childhood (3–40 months) by analyzing two large-scale datasets of participant-level experimental responses: the ManyBabies infant-directed speech preference (MB-IDS) dataset and a saccadic reaction time (SRT) dataset collected from rural South Africa. Analysis of participant- and study-level data reveals that MB-IDS shows comparable reliability across the included age range. In contrast, SRTs reflect systematically increasing measurement consistency with increasing age. Potential reasons and implications of this divergence are briefly discussed.