The applying of Scots pine Pinus sylvestris L. forests’ management to climate change mitigation and biodiversity conservation Project leader Inga Straupe Duration 2019 - 2021 Research focus 2. Preservation of biological diversity in agro- and forest biocenoses, ecosystem protection and services Source of funding Internal grant Project partners Raimonds Bērmanis Beāte MucenieceSindija ZuteOto RumsIrina Sietiņa Description of project The aim of research The aim of the research is evaluate the management possibilities of Scots pine ti mitigate the climate changes and maintain biodiversity. The tasks of project: To describe the structural elements of pine stands (growing trees and dead wood) and vegetationTo analyze the development of vegetation and the regeneration of Scots pineTo develop recommendations for the management of Scots pine stands for mitigating climate change and preserving biodiversity Results The management of Scots pine forests is a very urgent problem in order to preserve and restore pine forests that have been anthropogenically affected, also in the future. The structural elements of forest stands (especially the preservation of dead wood and biologically old, large trees), as well as the results of vegetation analysis and regeneration, the evaluation of various cuttings will allow the development of management recommendations for the management of pine stands for the mitigation of climate change and the preservation of biological diversity. The role of forests and the forest sector in mitigating climate change can be significantly increased by creating synergy with other forest-related needs - climate-smart forestry (CFM), which is based on: reducing and/or eliminating greenhouse gas emissions to mitigate climate change; adaptation of forest management practices to create sustainable forest stands; active forest management, which aims to sustainably increase productivity and provide all the benefits that forest management can provide. Vegetation succession studies in the context of climate change are essential for the entire forest sector as a whole, they provide an understanding of ecological processes, and also allow for forecasting forest development scenarios in the future.
