Importance and vulnerability of the world's water towers.

Mountains are the water towers of the world, supplying a substantial part of both natural and anthropogenic water demands1,2. They are highly sensitive and prone to climate change3,4, yet their importance and vulnerability have not been quantified at the global scale. Here we present a global water tower index (WTI), which ranks all water towers in terms of their water-supplying role and the downstream dependence of ecosystems and society. For each water tower, we assess its vulnerability related to water stress, governance, hydropolitical tension and future climatic and socio-economic changes. We conclude that the most important (highest WTI) water towers are also among the most vulnerable, and that climatic and socio-economic changes will affect them profoundly. This could negatively impact 1.9 billion people living in (0.3 billion) or directly downstream of (1.6 billion) mountainous areas. Immediate action is required to safeguard the future of the world's most important and vulnerable water towers.

[Does routine outcome monitoring have a promising future? An investigation into the use of shared decision-making combined with ROM for patients with a combination of physical and psychiatric symptoms]. / Shared decision making in combinatie met ROM bij patiënten met gecombineerde lichamelijke en psychische klachten; een klinisch-empirische verkenning.

BACKGROUND: Although routine outcome monitoring (ROM) has been developed and widely used in the course of patient centered outcome research in the Netherlands, so far the technique has hardly ever been used to improve the treatment of individual patients. AIM: To describe how a rom technique based on the principles of shared decision-making (SDM) was developed and evaluated at the Center for Body, Mind and Health at GGz Breburg, a specialised mental health institution in the Netherlands. METHOD: We have developed a conceptual model for SDM that involves patient participation and the use of evidence-based decision-aids with cut-off scores. RESULTS: According to the conceptual model for SDM that we developed, the patient and the health professional involved took 'shared' decisions in three phases; the decisions related to triage, the drawing-up of a treatment plan and a follow-up treatment course. At the end of the 6 month intake-phase 7 of the 67 patients who were deemed eligible for ROM/SDM were dropped from the study because they were incapable of performing ROM assessments. Due to diagnostic advice and referral at the end of the intake-phase, 25 patients did not require further treatment. Of the remaining 35 patients, 33 delivered at least one follow-up ROM assessment during the subsequent treatment phases. In these patients somatic and psychiatric symptoms were found to be significantly reduced. CONCLUSION: ROM combined with sdm can be used successfully with patients who have a combination of physical and psychiatric symptoms and the technique can be applied by the professional in charge. Very few patients dropped out of the follow-up measurements and somatic as well as depressive or psychiatric symptoms diminished significantly. These findings indicate that a Randomised Clinical Trial is warranted in order to test the effectiveness of sdm combined with ROM as a decision-making instrument.

Teacher profiles in higher education: the move to online education during the COVID-19 crisis.

During the COVID-19 pandemic, teachers were forced to move their teaching completely online. While some seized the opportunity to learn and innovate, others experienced difficulties. This study provides insights into the differences between university teachers during the COVID-19 crisis. A survey among university teachers (N = 283) was conducted to investigate their attitudes towards online teaching, beliefs about students' learning, level of stress experienced, self-efficacy and beliefs about their own professional development. Employing a hierarchical cluster analysis, four distinct teacher profiles were found. Profile 1 was critical but eager; Profile 2 was positive but stressed; Profile 3 was critical and reluctant; Profile 4 was optimistic and easy-going. The profiles differed significantly in their use and perception of support. We suggest that teacher education research should carefully consider sampling procedures or take a person-centred research approach and that universities should develop targeted forms of teacher communication, support and policy.

Interdisciplinary thinking in agricultural and life sciences higher education.

Interdisciplinary thinking as a skill appears to be of value to higher education students and those in employment. This idea is explored with reference to the agricultural and life sciences. The need for further understanding of the development of interdisciplinary thinking is acknowledged. This is closely related to the requirement for well-founded curriculum and course design. This publication presents a brief introduction to a systematic review of scientific research into teaching and learning in interdisciplinary higher education. While tentative, the understanding arising from the review findings is considered to be of potential value to educational practice. A selection of the review findings is presented by way of illustration. The selection is believed to be of relevance to the agricultural and life sciences. The review findings presented here take the form of interdisciplinary thinking sub skills and enabling conditions.

Future water resources for food production in five South Asian river basins and potential for adaptation--a modeling study.

The Indian subcontinent faces a population increase from 1.6 billion in 2000 towards 2 billion around 2050. Therefore, expansion of agricultural area combined with increases in productivity will be necessary to produce the food needed in the future. However, with pressure on water resources already being high, and potential effects of climate change still uncertain, the question rises whether there will be enough water resources available to sustain this production. The objective of this study is to make a spatially explicit quantitative analysis of water requirements and availability for current and future food production in five South Asian basins (Indus, Ganges, Brahmaputra, Godavari and Krishna), in the absence or presence of two different adaptation strategies: an overall improvement in irrigation efficiency, and an increase of reservoir storage capacity. The analysis is performed by using the coupled hydrology and crop production model LPJmL. It is found that the Godavari and Krishna basins will benefit most from an increased storage capacity, whereas in the Ganges and the Indus water scarcity mainly takes place in areas where this additional storage would not provide additional utility. Increasing the irrigation efficiency will be beneficial in all basins, but most in the Indus and Ganges, as it decreases the pressure on groundwater resources and decreases the fraction of food production that would become at risk because of water shortage. A combination of both options seems to be the best strategy in all basins. The large-scale model used in this study is suitable to identify hotspot areas and support the first step in the policy process, but the final design and implementation of adaptation options requires supporting studies at finer scales.

Snowmelt contributions to discharge of the Ganges.

Himalayan headwaters supply large quantities of runoff derived from snowmelt and monsoon rainfall to the Ganges River. Actual snowmelt contribution to discharge in the Ganges remains conjectural under both present and future climatic conditions. As snowmelt is likely to be perturbed through climatic warming, four hydrological models, VIC, JULES, LPJmL and SWAT, appropriate for coupling with regional climate models, were used to provide a baseline estimate of snowmelt contribution to flow at seasonal and annual timescales. The models constrain estimates of snowmelt contributions to between 1% and 5% of overall basin runoff. Snowmelt is, however, significant in spring months, a period in which other sources of runoff are scarce.