ForMMI · Forest management-mortality interactions – quantification of management effects on tree mortality and implications for carbon cycling
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-11-01 → 2022-10-31
- EU contribution
- €224,934
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Forest management-mortality interactions – quantification of management effects on tree mortality and implications for carbon cycling
Forests form a major terrestrial carbon sink, but its size is subject to large uncertainties. Recent advances in the quantification of the sink have highlighted the need for accounting for the effects of forest management and tree mortality. However, management and mortality have so far been considered in isolation from each other and the lack of suitable management data has hindered the realistic consideration of management effects on forest dynamics in global vegetation models. As a large share of forests globally – and in Europe especially – are under human management, this lack of realistic representation of forest management and its effects on ecosystem dynamics are major uncertainties in assessments of the forest carbon sink. The overall objective of ForMMI was to improve the scientific understanding of current forest management regimes, assess how forest management affects tree mortality and quantify the implications this has for the carbon cycle.
Data: CORDIS, © European Union
Project objective
Forests form a major terrestrial carbon sink, but its size is subject to large uncertainties. Recent advances in the quantification of the sink have highlighted the need for accounting for the effects of forest management and tree mortality. However, management and mortality have been considered in isolation from each other, even though management practises are known have large effects on tree mortality. So far, the lack of suitable management data has hindered the realistic consideration of management effects on forest dynamics in global vegetation models. ForMMI aims to fill these gaps by (1) developing novel observation-based methodology to quantify forest management regimes from single-measurement national forest inventory data, (2) creating statistical models that allow calculation of mortality rates based on management type and intensity and (3) integrating these models into a dynamic global vegetation model LPJ-GUESS and use it to quantify the implications to carbon cycle. The methodological development will enable obtaining of observations-based management information over large areas, thus greatly improving the current use of national-level statistics and assumptions based on management guidelines. This will greatly benefit the future efforts of linking management to forest dynamics in large-scale models. The results will provide a first large-scale and consistent assessment of management impacts on natural mortality of trees and quantify the implications for carbon cycle. This will create an important basis in accounting for management-mortality interactions in global vegetation models, on which further research will be able to build on. The project will provide Dr Suvanto with the skills and expertise needed to establish a leading international role in forest management-mortality interactions, a research direction with increasing importance as current efforts on including management effects and mortality processes to large-scale models move forward.
Original text from CORDIS.
Participants
- THE UNIVERSITY OF BIRMINGHAM · BirminghamCoordinatorUnited Kingdom
Links
Data: CORDIS, © European Union
