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CZECHGLOBE
Global Change Research Institute, CAS
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PROJECTS

Database of projects currently being solved as well as already completed projects.

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Number of projects found: 319

Guiding restoration by improving ecosystem models

Provider: HORIZON EUROPE
Coordinating recipient: LUONNONVARAKESKUS
Keywords: Habitat and species restoration and rehabilitation
Annotation of project:
Ecosystem restoration is a key pillar of the EU Biodiversity Strategy for 2030 and the Nature Restoration Regulation (NRR). Yet, its implementation is constrained by fragmented actions, limited monitoring capacity, and the lack of integrated modelling tools to evaluate restoration outcomes across scales. Harmonised approaches are needed to assess biodiversity and ecosystem service gains from restoration activities, and to predict their long-term effects under changing climate and land-use conditions. These gaps limit Europe’s ability to align restoration planning with biodiversity targets, climate mitigation and adaptation goals, and land degradation neutrality. RestMod will deliver an integrated framework to support the monitoring, modelling, and assessment of ecosystem restoration in forests, wetlands, and grasslands across Europe. To achieve this, we will: 1) co-create restoration pathways, 2) couple leading ecosystem process and biodiversity models (e.g., LPJ-GUESS, G4M, HMSC), 3) simulate restoration scenarios and trajectories towards 2030 and 2050 targets, and 4) generate actionable outputs for practitioners, landowners, and policymakers.

COST Action

Provider: European cooperation in science and technology
Keywords: COST
Annotation of project:
E-cost training school

RERA

Provider: RERA
Keywords: RERA
Annotation of project:
RERA

Implementation of the Sen2Like tool within the MetaCentrum environment for harmonising Sentinel-2 and Landsat data

Provider: CESNET
Keywords: Sentinel-2, Landsat
Annotation of project:
Implementation of the Sen2Like tool within the MetaCentrum environment for harmonising Sentinel-2 and Landsat data

National Institute for Research into the Socio-economic Impacts of Diseases and Systemic Risks

Provider: Ministerstvo zdravotnictví
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Coordinating recipient: Masarykova Univerzita
Keywords: socio-economic impacts of diseases, systemic risks
Annotation of project:
National Institute for Research into the Socio-economic Impacts of Diseases and Systemic Risks

PILOTS OF LONG-TERM CLIMATE IMPACT FOREST MONITORING SITES: LINKING STAND-LEVEL INFORMATION AND REMOTE SENSING

Provider: HORIZON EUROPE
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
We will acquire a comprehensive data set of three selected forest sites, which are exposed to seasonal drought and other environmental stressors. We have selected two forests sites, which have established and controlled drought treatments installed as the experimental basis for extracting and understanding the specific signatures of long- and short-term drought effects on forests health. These two sites are complemented by a third site, which is a class 1 ICOS site, which provides a long-term time series of seasonal environmental stress events. The combination of the three sites allows on the one hand the detailed mechanistic understanding of drought-induced changes on forests traits and remote sensing products and on the other hand the extrapolation of the knowledge to the seasonal dynamics. The data set consists of (i) airborne hyperspectral reflectance, solar-induced fluorescence (SIF), emissivity and land surface temperature (LST), and LiDAR based surface structure maps, (ii) UAV based maps of multispectral canopy reflectance and SIF as well as (iii) selected in-situ data and detailed information on relevant traits on selected trees. While airborne maps have a pixel resolution of 1-2 m, UAV-based data are recorded on the centimeter scale allowing the identification of single canopy elements. The data will be recorded on two time points during the vegetation period 2026 and raw data will be converted into lvl-2 and lvl-3 data products. We will analyze the data set towards its predictability to detect early signs of vegetation stress and impairment of photosynthetic carbon fixation of the forest sites.

Advanced Monitoring Technologies for Enhanced Productivity of Microalgal Bioreactors

Provider: Ministerstvo průmyslu a obchodu
Another participant in the project: Ústav výzkumu globální změny AV ČR, v. v. i.
Keywords: xxx
Annotation of project:
xxx

Advanced methods for monitoring and modifying water regimes, fuel moisture, and predicting the occurrence of vegetation fires under changing climate conditions and with an emphasis on the risk of rapidly spreading fires

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.

Measures to support populations of endangered bumblebee species

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.

Utilization of Czech National Forest Inventory (NFI) results in accordance with UNFCCC requirements for greenhouse gas emissions reporting in the LULUCF sector – linkage to underlying data, model calibration for carbon balance and emissions projections

Provider: Ministerstvo zemědělství
Recipient: Ústav výzkumu globální změny AV ČR, v. v. i.
Another participant in the project: IFER - Ústav pro výzkum lesních ekosystémů, s.r.o.
Another participant in the project: Výzkumný ústav lesního hospodářství a myslivosti, v.v.i.
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.