Indicators of sustainable forest management: application and assessment

Report of the international project Life ManForCBD

Cohort profile : demographic and clinical characteristics of the MILESTONE longitudinal cohort of young people approaching the upper age limit of their child mental health care service in Europe

Purpose: The presence of distinct child and adolescent mental health services (CAMHS) and adult mental health services (AMHS) impacts continuity of mental health treatment for young people. However, we do not know the extent of discontinuity of care in Europe nor the effects of discontinuity on the mental health of young people. Current research is limited, as the majority of existing studies are retrospective, based on small samples or used non-standardised information from medical records. The MILESTONE prospective cohort study aims to examine associations between service use, mental health and other outcomes over 24 months, using information from self, parent and clinician reports. Participants: Seven hundred sixty-three young people from 39 CAMHS in 8 European countries, their parents and CAMHS clinicians who completed interviews and online questionnaires and were followed up for 2 years after reaching the upper age limit of the CAMHS they receive treatment at. Findings to date: This cohort profile describes the baseline characteristics of the MILESTONE cohort. The mental health of young people reaching the upper age limit of their CAMHS varied greatly in type and severity: 32.8% of young people reported clinical levels of self-reported problems and 18.6% were rated to be ‘markedly ill’, ‘severely ill’ or ‘among the most extremely ill’ by their clinician. Fifty-seven per cent of young people reported psychotropic medication use in the previous half year. Future plans: Analysis of longitudinal data from the MILESTONE cohort will be used to assess relationships between the demographic and clinical characteristics of young people reaching the upper age limit of their CAMHS and the type of care the young person uses over the next 2 years, such as whether the young person transitions to AMHS. At 2 years follow-up, the mental health outcomes of young people following different care pathways will be compared. Trial registration number: NCT03013595

Climate Change Impacts on Forests and Forest Products in the Mediterranean AreaRegional Assessment of Climate Change in the Mediterranean

The Mediterranean Region is defined according to its biogeography and bioclimate. Climate is characterized by mild winters and hot, dry summer. Biodiversity is rich and landscape patterns are complex. Mediterranean forests have historically been subjected to numerous threats (forest fires, over-exploitation, deforestation, degradation), that are today accentuated under climate and land use changes. In this respect, the Mediterranean area appears among the most vulnerable areas to global change. Forest area in the region has increased by 10% between 1990 and 2000. Roundwood nowadays represents 60% and woodfuel 40% of total wood products (125 Mm3). Sometime non-wood forest products and services are more important as they represent 60\u201370% of total economic value (133 \u20ac ha 121) of Mediterranean forests. There are already evidences of impacts of recent climate change on ecophysiology, productivity, dieback and distribution of Mediterranean forests and these impacts will become worse in the future, particularly for increased evaporative demand and repeated extreme events. An interdisciplinary research agenda, integrated with monitoring networks and projection models is needed to provide information at all levels of decision making and to implement a framework of dynamic and adaptive management planning

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images

Precisely monitoring the growth condition and nutritional status of maize is crucial for optimizing agronomic management and improving agricultural production. Multi-spectral sensors are widely applied in ecological and agricultural domains. However, the images collected under varying weather conditions on multiple days show a lack of data consistency. In this study, the Mini MCA 6 Camera from UAV platform was used to collect images covering different growth stages of maize. The empirical line calibration method was applied to establish generic equations for radiometric calibration. The coefficient of determination (R2) of the reflectance from calibrated images and ASD Handheld-2 ranged from 0.964 to 0.988 (calibration), and from 0.874 to 0.927 (validation), respectively. Similarly, the root mean square errors (RMSE) were 0.110, 0.089, and 0.102% for validation using data of 5 August, 21 September, and both days in 2019, respectively. The soil and plant analyzer development (SPAD) values were measured and applied to build the linear regression relationships with spectral and textural indices of different growth stages. The Stepwise regression model (SRM) was applied to identify the optimal combination of spectral and textural indices for estimating SPAD values. The support vector machine (SVM) and random forest (RF) models were independently applied for estimating SPAD values based on the optimal combinations. SVM performed better than RF in estimating SPAD values with R2 (0.81) and RMSE (0.14), respectively. This study contributed to the retrieval of SPAD values based on both spectral and textural indices extracted from multi-spectral images using machine learning methods

Which climate change path are we following? Bad news from Scots pine

<div><p>Current expectations on future climate derive from coordinated experiments, which compile many climate models for sampling the entire uncertainty related to emission scenarios, initial conditions, and modelling process. Quantifying this uncertainty is important for taking decisions that are robust under a wide range of possible future conditions. Nevertheless, if uncertainty is too large, it can prevent from planning specific and effective measures. For this reason, reducing the spectrum of the possible scenarios to a small number of one or a few models that actually represent the climate pathway influencing natural ecosystems would substantially increase our planning capacity. Here we adopt a multidisciplinary approach based on the comparison of observed and expected spatial patterns of response to climate change in order to identify which specific models, among those included in the CMIP5, catch the real climate variation driving the response of natural ecosystems. We used dendrochronological analyses for determining the geographic pattern of recent growth trends for three European species of trees. At the same time, we modelled the climatic niche for the same species and forecasted the suitability variation expected across Europe under each different GCM. Finally, we estimated how well each GCM explains the real response of ecosystems, by comparing the expected variation with the observed growth trends. Doing this, we identified four climatic models that are coherent with the observed trends. These models are close to the highest range limit of the climatic variations expected by the ensemble of the CMIP5 models, suggesting that current predictions of climate change impacts on ecosystems could be underestimated.</p></div

Polymeric Microneedle Arrays: Versatile Tools for an Innovative Approach to Drug Administration

Mainly designed and realized as a painless alternative to the hypodermic syringe, microneedle‐based devices are currently approaching commercial market placement. The considerable academic and industrial investment in this technology is reflected by a multitude of papers published and patents registered every year, which is also a sign of a field in full fermentation. New materials and innovative methodologies are continuously exploited in search of the best performance at the lowest cost. For these reasons, an updated review, focused predominantly on the last year of scientific production, is a useful guideline in this rapidly changing panorama. This report provides a critical review of microneedle technologies presented in the very recent literature with a particular focus on those closest to the needs of the healthcare field. Although a few devices are already commercial, further effort is still needed to achieve complete clinical translation and therapeutic efficacy competitive with or superior to those of the devices used as standards and adopted by national health systems

Microneedles Drug Delivery: Polymeric Microneedle Arrays: Versatile Tools for an Innovative Approach to Drug Administration (Adv. Therap. 8/2019)

Microneedle devices could play the role of a painless door to the human body. These devices enable high performance in both drug delivery and diagnostic analysis. While there has been a strong effort by the healthcare industry and applied research laboratories, the microneedles platform has not yet reached commercial success in the global market. In this competitive frame, the simplest fabrication processes and the best performing products will rise to the top of the market. In article number 1900036, Luca De Stefano and co‐workers review recent advances in this field

Agreement between observed responses by tree ring analyses and expected responses by habitat suitability models under different GCMs for <i>Pinus sylvestris</i>.

<p>Agreement between observed responses by tree ring analyses and expected responses by habitat suitability models under different GCMs for <i>Pinus sylvestris</i>.</p