Provider: Ministerstvo školství mládeže a tělovýchovy
Coordinating recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: Eddy Covariance, Machine learning, Carbon and Water flux partitioning, Stable carbon isotope Isotope/Sap flow technique, Tree rings, Laser ablation, High-resolution automatic dendrometers, Tissue heat balance technique, Airborne remote sensing, forest.
Annotation of project:
The INETFLUX project will connect Czech and Swiss research institutions that are part of ESFRI ICOS ERIC, with the aim of strengthening bilateral cooperation, deepening international integration, and building the capacity of the CzeCOS research infrastructure. The project will focus on research aimed at understanding carbon and water fluxes in different forest ecosystems and how they change under conditions of climate change. The cooperation will focus specifically on the net ecosystem exchange of carbon dioxide (NEE) and evapotranspiration (ET), which are key processes determining the role of forests as carbon sinks and their capacity to modulate the land-surface energy balance through transpiration. Both processes are increasingly affected by droughts, heatwaves, and water stress. The research objective of the project is to develop and validate new approaches for partitioning NEE and ET into their individual components—gross primary production (GPP) and ecosystem respiration, as well as transpiration and evaporation—and to identify the environmental drivers that regulate these processes. This will be achieved by combining advanced methods across spatial scales: isotopic analyses and sap flow measurements at the level of individual trees; eddy covariance observations of energy and matter fluxes at the stand level, analyzed through machine learning approaches (XGB algorithm, SHAP values); and remote sensing techniques with high spatial and spectral resolution. The project targets three contrasting sites (Davos, Bílý Kříž, Lanžhot), representing different climatic conditions and species compositions. This setup enables detailed comparative analyses of forest responses to climate variability and extremes, with a particular focus on drought.

Provider: CESNET
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
Airborne laser scanning (ALS) provides detailed information on the structure of forest ecosystems, enabling effective monitoring of above-ground biomass (AGB). Modern ALS data processing methods combine analytical approaches from remote sensing (RS) and machine learning (ML), allowing for more accurate AGB estimations. The automation of this approach and its implementation into a web-based environment will lead to the expansion of the EnviLAB platform with a new module ABiLAS for processing ALS data using ML methods. This module will include a database of synthetic data for training ML algorithms and a user interface for uploading and analyzing custom ALS data. The outputs will be available to both experts and the general public, contributing to the effective monitoring of forest ecosystems and adaptation to climate change.

Provider: Technologická agentura ČR
Coordinating recipient: Amper Savings, a.s.
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: Photovoltaics electricity forecasts; electricity consumption forecast; prosumers
Annotation of project:
Recent policy changes allowed for more widespread use of PVE installations with capacity of up to 50 kW or even more. These installations fit roofs of family houses, small businesses and similar places. Its potential power generation is higher than their consumption during clear sky conditions and so it flows into power grid. By contrast, during overcast weather or in winter they still need to acquire power from outside power traders. This complicates power scheduling and planning for traders and could lead to deficits/surpluses within Czech national power grid. So, our proposal aims at creating an SW solution predicting the complex behavior of this client category, which is also prone to more active behavior in the power market. PID: TS02020185 FX

Provider: Interreg Danube Region
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Recipient: CENIA
Recipient: Slovak Hydrometeorological Institute
Recipient: Slovenian Environment Agency
Recipient: Municipality of Ajdovščina
Coordinating recipient: Hungarian Meteorological Service
Keywords: adaptation, climate change, Danube Region
Web of the project: https://interreg-danube.eu/projects/danube-adapt
Annotation of project:
The Danube-ADAPT project aims to create harmonised data availability and knowledge in the Danube Region to support evidence-based climate adaptation policy making by strengthening the cooperation of key actors of the region and developing a territorially integrated climatological baseline database, a common vulnerability assessment framework, both tailored to the region, as well as a set of tools, namely the Danube Region Adaptation Policy Support Platform, to facilitate policy integration. This project is supported by the Interreg Danube Region Programme co-funded by the European Union. Project budget is 2 641 914 Euro of which Interreg funds are 2 113 531 Euro.

Provider: Ministerstvo zemědělství
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: water quality; drinking water reservoirs; climate change; river basin management
Annotation of project:
Climate scenarios say the hydrolog. balance in Central Europe will worsen during the 21st century. Prolonged growing seasons and adaptive measures will lead to higher evapotranspiration, decrease in baseflow, extreme events will rise. This will lead to reduced dilution of treated wastewater and impacts on water supply reservoirs (WSR). The aim of the project is to (i) categorize the threats to all WSR in Czechia by combining remote sensing and insitu data; (ii) apply complex hydrodynamic and hydrochem. models on key WSR (Švihov, Vír, Vrchlice) and prepare an estimate of water quality parameters of WSR; (iii) link these parameters with remote sensed data to estimate water quality at any WSR in Czechia; (iv) predict w. quantity and quality of WSR for future climat. conditions.

Provider: Technologická agentura ČR
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: zinc hyperaccumulation; microalgae biomass; dietary supplement; biotechnology industry; evolutionary algorithms; strains laboratory evolution
Annotation of project:
The first goal of the project is an evolutionary optimization of a new production line of minerals hyperaccumulating microalgae for application in the biotechnology industry. The application potential of optimized microalgae is diverse and ranges from solving environmental problems, such as purification of contaminated or waste water, through the ecological removal and use of mineral elements from specific sources or matrices, to improving health and increasing the quality of food for both humans and farm animals. Within the framework of the proposed project, we will focus on the application in nutraceuticals by formulation of human food supplements from zinc-enriched microalgae of the genus Chlorella, which represents the second goal of the project.

Provider: HORIZON EUROPE
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
Threats to pollinators and pollination services that support agriculture and provide benefits to people are a worldwide problem. AGRI4POL’s ambition is to assist the transition of agriculture from being a pressure on pollinators to becoming a positive force for managing and restoring pollinator biodiversity, crop pollination services, and co-benefits to ecosystems and people. To achieve this transition towards more pollinator friendly farming systems and value chains, AGRI4POL will advance scientific understanding of crop-farming system-pollinator relationships from the crop gene to the agroecosystem. By evaluating the genetic basis of crop floral traits attracting and rewarding crop pollinators, we will identify candidate crop lines suitable for breeding future pollinator-smart varieties. We will study how pollinator-crop relationships are modified in space and time, by the diversity and rotation of crop species and varieties, by ecological infrastructure (EI) comprising landscape features and non-crop habitats, and by future climate or land-use change. Synthesising this information from the gene to agroecosystem scale will allow us to provide integrated recommendations for optimising landscapes for crop pollination, pollinator biodiversity and multiple ecosystem benefits. AGRI4POL research will be framed and supported by early and sustained multi-actor engagement along agri-food chains to assure its relevance and the acceptability of management options to farmers and society. This multi-actor approach will also enable assessments of the socio-economic and policy obstacles and opportunities affecting the feasibility and uptake of pollinator-friendly farming at [sub]national, European and international scales. AGRI4POL will therefore showcase to farmers, agri-food actors, policymakers and society the importance of pollinator-friendly farming to food security and sustainability goals (EC Green Deal, Nature Restoration Law; UN SDGs).

Provider: Ministerstvo zemědělství
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: smart farming, precision farming; crop protection; site specific pesticide application; spot spraying
Annotation of project:
The aim of the project is to verify the site-specific application of pesticides in smart farming. It focuses on spot spraying of herbicides based on weed mapping, band spraying and variable rate application of crop growth regulators / fungicides according to crop sensing by remote sensing. The results will optimize pesticide use to maintain the crop production while contributing to the support of ecosystem services, protection of biodiversity, soil and water resources. The advanced functions of the sprayer machinery will be analysed, including consideration of the near future technological development and the implementation of the proposed practices into crop management practices will be proposed in line with the principles of integrated crop protection and sustainable crop production.

Provider: Grantová agentura České republiky
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: airborne_laser_scanning; forest_health; IoT; near-real_time monitoring; satellite_imagery
Annotation of project:
Forests are an important part of the Earth system, maintaining ecological balance and providing key ecosystem services. The main objective is to analyse the impact of different ecological determinants on current forest growth and to develop modern methods for near real-time monitoring and future prediction of tree growth dynamics under changing conditions. This will be achieved through the use of state-of-the-art technologies, including Internet of Things (IoT) and Remote Sensing (RS). The research will be carried out over a large area including Poland and the Czech Republic and will focus on two important tree species in Central Europe: Pinus sylvestris and Picea abies. The results will contribute to the development of new knowledge in forest ecology and forest growth modelling. We also expect new insights into the application of RS in forest ecosystem modelling. Developed predictive models based on recent and high temporal resolution data will provide a robust tool for reliable simulations of future forest growth dynamics under different climate change projections.

Provider: Ministerstvo školství mládeže a tělovýchovy
Coordinating recipient: Ostravská univerzita v Ostravě
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Another participant in the project: Vysoká škola báňská - Technická univerzita Ostrava
Keywords: xxx
Annotation of project:
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