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Research project (§ 26 & § 27)
Duration : 2020-03-01 - 2022-02-28

TEACHER-CE is integrating and harmonizing results of previously funded projects recognizing their links to topic V-Climate change (CC) adaptation and risk prevention. The main territorial challenge to be addressed concern development of effective CC adaptation processes and prevention of water-related risks in CE, where the effects can be already clearly observed and, in future years, could have strong impact at territorial level. The main objective is to develop an integrated TEACHER-CE Toolbox focusing on management of water resources, including CC, floods/heavy rain/drought risk prevention, small water retention measures and protection of water resources through sustainable land-use management, based on the integration of tools of selected projects: RAINMAN, FRAMWAT, PROLINE-CE, SUSTREE, LUMAT (all CE); H2020 FAiRWAY; LifeLocalAdapt; DRIDANUBE and DAREFFORT (DTP), C3SDisaster Risk Reduction Sectoral Information System and C3S Soil Erosion Demo Case. The project focuses on downstreaming of project outputs/tools to municipalities/regions; TEACHER-CE project will build on tools for integrated water management including CC adaptation and risk prevention of previously funded projects. Experiences gained on local level within TEACHER-CE will be applied for maximizing Toolbox use to effectively and robustly upstream CC adaptation in sectoral plans. The innovation of TEACHER is the controlled and documented integration process of outputs and multiple tools of previously funded projects from different funding programs in a single toolbox with testing and verification in 9 pilot actions in 8 countries. The project will demonstrate how a transnational, level-spanning and cross-sectoral designed partnership creates innovation by focusing on one central topic by fostering a critical exchange of knowledge and experiences of persons and institutions involved aiming on rapid and thorough CC adaptation process of different sectors, having land-use management in specific focus.
Research project (§ 26 & § 27)
Duration : 2020-02-01 - 2023-01-31

The Dr. FOREST project quantifies four important pathways of how forest diversity can improve and reduce risks to human mental and physical health : (i) provision of visual aesthetics and soundscapes, (ii) provision of nutritional and medicinal forest products, as well as a comfortable microclimate, (iii) dilution of disease vectors, and (iv) mitigation of air pollution. The project relies on a rigorous experimental design that allows quantification of tree diversity effects on human health, by working in controlled tree diversity experiments as well as comparative studies in natural forests of differing diversity, in four climatic regions of Central Europe. All empirical Work Packages and Tasks are handled by teams composed each of both natural and medical scientists, ensuring cross-disciplinary collaborations and synergies. Interactions with relevant stakeholders to refine research questions and to promote health-friendly biodiversity in forests, as well as formulation of management guidelines will ensure high relevance for health policy and forest administration.
Research project (§ 26 & § 27)
Duration : 2016-12-01 - 2020-05-31

Forests are increasingly exposed to climate-driven biotic and abiotic disturbances. Climate change could thus jeopardize forests' capacity to deliver ecosystem services. There is therefore an urgent need to adapt forest management so as to promote and improve forest resilience at different spatial and temporal scales. Mixed forests are considered as one of the main options for adapting to and reducing risks of climate change. Higher tree species diversity is expected to provide higher productivity, higher temporal stability, higher resistance and resilience to disturbances and a more diverse portfolio of ecosystem services. However, knowledge about how to design and manage mixed forests to achieve these potential benefits is still lacking. REFORM aims at identifying the most optimal composition and management of mixed forests in order to reduce natural and socio-economic impacts of climate change. REFORM is based on data from observational, experimental and modelling platforms provided by twelve partners from ten countries covering different bioclimatic regions in Europe. It will investigate mixed forest features, like species composition, mixing patterns, stand age and density, that best explain resistance and resilience to biotic and abiotic disturbances. It will define the management options to achieve and maintain these optimal mixed forest features. The impact of these management alternatives on the provision of ecosystem services will be also evaluated. REFORM will provide forest managers with practical tools for increasing resilience of mixed forests using a scenario analysis at different scales, including local-adapted silviculture guidelines, forest models, and transnational training forest networks. The project will make recommendations to forest policy makers for the promotion of resilient mixed forestry.

Supervised Theses and Dissertations