The summary of measures for the restoration of forest stands after a disturbance provides basic framework information on the annual development of bark beetle calamities, the extent of reforestation needs and an estimate of seedling material requirements. In the years 2017-2019, the extent of calamity clearings and reforestation needs were determined exclusively by remote sensing methods (satellite and aerial imagery). From 2020 (Stage IV), statistical estimates will be derived from the results of terrestrial surveys in areas covered by the National Forest Inventory.
The individual stages of the summary document the progression of the disturbance and the extent of the areas affected. Discrepancies between the need for seedling material and its available sources are identified by comparison with the availability of reproductive material of forest tree species based on the analysis of the ERMA2 database.
At the same time, the summary serves as a methodological guide for forest restoration on clearcuts after large-scale disturbances. It includes a proposal for the composition of restoration tree species based on forest typological units and the size of disturbed areas (Stage III for the year 2019), recommended practices for stand restoration and management, recommendations for the reduction of wildlife damage, an overview of relevant legislation, including exemptions according to the Ministry of Agriculture Decree – Measures of a General Nature (Stage IV for the year 2020), and also a summary of suitable subsidy titles applicable to forest restoration after disturbance (from Stage III).
Based on the authorisation of the Ministry of Agriculture, the summary of forest restoration after disturbance will be prepared annually from 2017 by the Institute of Forest Economic Planning, Brandýs nad Labem, in cooperation with the Research Institute of Forest Management and Gamekeeping, with each annual stage being published in the following year.
Link:
https://www.uhul.cz/wp-content/uploads/Generel_etapa_2022-1.pdf
The work benefits from a grant from Norway and Technology Agency of the Czech Republic within the KAPPA Programme (TO01000345)