Development of a simulation framework to analyze synergies and trade-offs between different multiple production goals and related carbon dynamics in the sub-tropical forests of China (Teilprojekt im BMBF-Verbundprojekt “Lin²Value")
abgeschlossen 09/2015
Abstract | |
China is obliged to fulfill its commitments in the international Climate Policy Arena (United Nations Framework Convention on Climate Change, UNFCCC) in line with national regulations (12th Five year plan, FYP) to reduce the CO2-intensity of its national economy by approx. 40% from 2005 to 2020. The plan is to reduce greenhouse gas (GHG) emissions with more efficient use of nitrogen fertilizers in agriculture, and by increasing the wood and carbon stocks in forests. Sustainable Forest Management (SFM) not only increases carbon stocks but also contributes to increased stand stability, higher timber value and enhanced biodiversity. SFM will also lower the risk of wind, pest and snow damage leading to the release the carbon stored in forests (non-permanence). However, regulatory policies are supposed to enable the large-scale implementation of multipurpose forest management which requires some certainty over decision making processes given the long-term impacts of management in forests. Hence, an integrated simulation framework is needed to better understand ecosystem dynamics, in particular forest growth dynamics and its impact on carbon accumulation, forest carbon footprints (harvested wood products, HWP) and its trade-offs and synergies between different management goals. It is essential to understand the interactions between different forest management regimes and risks (extreme methodological events and human induced risks), which are likely to change with stand age, stand structure, species compositions and site conditions. This WP will test and integrate existing process based models to assess forest growth and carbon accumulation dynamics of the different silvicultural management strategies proposed in WP 2a with forest product based accounting models and analyze abiotic, biotic and economic risks. The proposed simulation framework will enable scientists, forest professionals and policy makers to analyze synergies and trade-offs between different multiple production goals and related carbon dynamics in the sub-tropical forests of China. The following scientific activities are proposed:
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Projektleitung: | Prof. Dr. Jürgen Bauhus |
Projektbearbeitung | Dr. David Forrester, Mathias Seebauer, Dr. Martin Kohler |
Finanzierung: | CLIENT Initiative des Bundesministeriums für Bildung und Forschung (BMBF) |
Laufzeit: | 03/2012 - 03/2015 |
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