Provider: Technologická agentura ČR
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: Fuel moisture; Fire weather; Suppression difficulty Index SDI; Fire weather forecast; Fire detection; Climate change; Vegetation fire prevention; Fire department; Fuel model; FlamMap;
Annotation of project:
In Šumava National Park, wildfire risk is high due to vegetation (fuel), visitor activity (ignition sources), and rugged terrain (firefighting difficulty). Climate change over the past 60 years has increased days with low dead fuel moisture and conditions favorable for fire spread. Still, most of the year has unfavorable fire conditions, so measures must adapt. Only 4% of fires spread rapidly, under low moisture, wind, and unstable atmosphere—factors in the Bzenec (2012) and Bohemian Switzerland (2022) fires. The project will integrate data from the National Park, FireRisk, and CzechGlobe to improve prevention and response. It will develop a unique system to monitor and forecast fuel moisture, fire weather, and atmospheric stability, and introduce a new satellite detection system.

Provider: Technologická agentura ČR
Coordinating recipient: Zemědělský výzkum,spol. s r.o.
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: bumblebees; endangered species; reintroduction; genetic diversity; inbreeding; microbiome; pollinator pathogens; biodiversity conservation
Annotation of project:
The aim is to develop methodology that will lead to the protection of endangered bumblebee species such as Bombus subterraneus, B. distinguendus, B. ruderatus, B. confusus and B. veteranus. The sub-objectives are: i) to determine level of inbreeding using whole-genome sequencing and to propose procedures for prevention of inbreeding, ii) to determine the relationship between level of inbreeding and vitality of colonies, the occurrence of pathogens and the composition of the microbiome, iv) to determine the nutritional requirements in connection with colony establishment, v) to propose suitable procedures and habitats for reintroduction of species into the wild. Based on results, a methodology for breeding and reintroduction into the wild with a reduced risk of extinction will be proposed.

Provider: Ministerstvo zemědělství
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Another participant in the project: Výzkumný ústav lesního hospodářství a myslivosti, v.v.i.
Another participant in the project: IFER - Ústav pro výzkum lesních ekosystémů, s.r.o.
Keywords: National Forest Inventory; LULUCF greenhouse gas reporting; CBM-CFS3 model calibration; Carbon balance projections; Forest carbon sequestration
Annotation of project:
The project objective is to implement data from the Czech National Forest Inventory (NFI) for greenhouse gas (GHG) emissions reporting from the LULUCF sector, and to strengthen the related national expert capacity. The implementation includes 1) processing data on forest areas and their changes in the reporting period from 1990 linked to cadastral data; 2) adaptation and calibration of the carbon model CBM-CFS3 based on input data and key outputs from NFI; 3) processing medium-term projections of carbon balance in forestry based on the latest knowledge; 4) processing methodological procedures continuously utilizing the NFI program for GHG emissions reporting. The project will be carried out in cooperation with the Czech Forestry Institute (CFI), which is responsible for NFI operation.

Provider: Ministerstvo zemědělství
Coordinating recipient: Výzkumný ústav monitoringu a ochrany půdy, v.v.i.
Another participant in the project: Národní centrum zemědělského a potravinářského výzkumu, v. v. i.
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Another participant in the project: Česká zemědělská univerzita v Praze
Keywords: climate; soil; soil; agricultural production regions
Annotation of project:
Agricultural production regions (ZVO) have production conditions and the use of agricultural soils based on soil and climatic conditions. The most recent delineation of ZVO was elaborated in the year 1996 based on System of Soil Ecological Units (abbreviated as BPEJ in Czech) with the use of the data (climate, soils) available till the year 1996. Nevetheless, current delineation does not reflect changes in climate or soil coverage induced by climate changes including the prediction of future changes. The aim of this project is to improve the delineation of ZVO based on the most recent databases related to climate and changes in soil mapping and evaluation. Statistical data related to management will be used to prepare economic data for the adjustement of directives.

Provider: Ministerstvo vnitra
Coordinating recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Another participant in the project: Ministerstvo vnitra ČR
Another participant in the project: IFER - Ústav pro výzkum lesních ekosystémů, s.r.o.
Another participant in the project: Český hydrometeorologický ústav
Keywords: Fire weather; Suppression difficulty Index SDI; Fuel moisture; Fire weather forecast; Climate change; Vegetation fire prevention; Fire department; Fuel model; FlamMap;
Annotation of project:
Climate change is increasing wildfire risks due to more frequent droughts and high temperatures. This project aims to create a 30 × 30 meter resolution map of the Fire Suppression Difficulty Index (SDI), combining it with real-time fuel moisture data and fire weather forecasts across the Czech Republic. It will analyze the relationship between fire weather, fuel moisture, SDI and vegetation fire occurrences, ensuring regional relevance by collaborating with four research partners. Key outputs include an SDI data repository with tools for Fire and Rescue Service units to effectively use SDI and fire weather forecasts. The project will also deliver two certified methodologies and provide applications for vegetation fire prevention and response planning.

Provider: Technologická agentura ČR
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
xxx

Provider: Grantová agentura České republiky
Coordinating recipient: Archeologický ústav AV ČR, v. v. i.
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: LaTéne Period;Roman Period;Migration Period;Early Middle Ages;archaeology; palaeoclimatology;resilience;subsistence strategies;climate change
Annotation of project:
Climate conditions and their change have been considered significant determinants of past societal development. However, decoding the actual magnitude of its impact could be based only on comprehensive multiproxy research, including palaeoecological and archaeological data. The presently developed agroclimatic reconstructions with yearly temporal resolution and spatial representation of the preconditions to successfully conduct food production (Global Change Research Institute) provide a qualitative advance in palaeoclimatological research possibilities, which could be tested within the context of the Protohistorical and Early Medieval Period societies of the Middle Danube region. The project proposal research activities are oriented toward exploring the structural correlations between the archaeological and agroclimate datasets in the diachronically conceived continuum of 1500 years. It will provide a deeper understanding of the past societal responses to the climate conditions and the resilience rate of the primary subsistence under the changing socio-economic conditions.

Provider: Ministerstvo školství mládeže a tělovýchovy
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
The project aims to strengthen cooperation between Czech and Swiss partners within the LRI ACTRIS ERIC through knowledge transfer, adoption of best practices in experimentation and modelling, and exchange of scientists.

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.