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Fir, pine, maple and oak have a high tolerance to heat and drought. Nevertheless, there is currently an increased occurrence of a number of pests and pathogens on these "tree species of the future". In the "CLIFF" project, knowledge about these organisms is to be expanded.
The BML commissioned a consortium with the participation of the Austrian Research Center of Forests (BFW) with the project "FORSITE II - Development of the ecological basis for a dynamic forest typing in Upper Austria, Lower Austria and Burgenland".
In this policy brief we propose measures to maintain the forest carbon sink strength and provide information for the time horizons for achieving the targets
Gene conservation forests are the instrument for in situ gene conservation of forest genetic resources in Austria.
The ConnectForestBiodiversity project makes an important contribution to the conservation and enhancement of habitat connectivity through the establishment and setting aside from management of habitat patches in forests.
Support for Austrian forest owners in promoting biodiversity in their forests.
Ethiopia has embarked on one of the globally most ambitious programs of forest landscape restoration (FLR) with a commitment to restore more than 20 million hectare of degraded forest landscapes within the next 20 years
In-flow data with high precision in real avalanche scenarios are the product of the cooperative project of BFW Institute for Natural Hazards Innsbruck, TU Berlin and University of Innsbruck. This approach is now being applied for the first time to snow avalanches. The destructive potential of gravitational mass flows, such as snow avalanches, has a […]
In order to counteract the rapid climate change in the Austro-Hungarian border region in practice, as part of the INTERREG project REIN-Forest , regional guidelines for forest reproductive material (FRM) transfer is going to be developed. Reforestation of six demonstration sites is planned with local and with adapted to the future climate FRM of two native tree species, European beech and sessile oak.
Climate projections forecast a rise of the Earth’s average temperature of 2 to 4 degrees Celsius until the year 2100. The prognosis for Austria is an increase of 3.5 degrees Celsius until 2100 (Österreichischer Sachstandsbericht zum Klimawandel, 2014). This will also lead to new challenges in the forestry sector. Sustainable managed forests and the utilization […]
The research initiative “Green Heritage” was launched to improve the production base and stand security for the spruce tree in Austria permanently. For this purpose, the genetic background is investigated for certain properties, in order to develop markers which, in turn, can be used for genetically supported breeding strategies. This research project at BFW is […]
Experts from the European Union and the Black Sea region discuss about measures taken against the aggressive moth. Soon infected box trees will be located again at cemeteries and in private gardens. The plant pest is easy to identify by the typical feeding pattern. The moth species is a well known pest in Austria and […]
Several installed umbrella nets have shown damage due to overloading. This raises the question of which typical damage patterns occur in the structure and what types and magnitudes of loads cause them. How can such damage be prevented? Additionally, it is essential to determine the required maintenance and repair measures, as well as the expected lifespan of the system.
Climate change is likely to alter the future growth capacity of European forests in providing vital ecosystem services. Adaptive management aiming at reducing vulnerability and enhancing the resilience of forest ecosystems is a key to preserve the potential of forests.
Parkia biglobosa (African locust bean) or Néré is a versatile tree species in Africa. Among other things, it has been and is the subject of a series of genetic examinations and provenance trials with the aim of selecting more drought-resistant forms. Despite all types of interest in this tree species, we have only poor knowledge […]
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