Tuesday 6
Forest governance and trajectories
Claude Garcia, Chris Kettle, Helene Dessard
› 11:30 - 12:30 (1h)
› JOFFRE 1-3
Dynamic diagnosing of subtropical forest ecosystem resilience after disturbed by the snow frozen disaster
Fei Yang  1, *@  
1 : Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences  (IGSNRR)  -  Website
Darun Road, 11A, Chaoyang District, Beijing, China -  Chine
* : Corresponding author

The resilience concept is being thought as an important way to deal with ecosystem management of extreme weather events disturbances. After the forest ecosystem disturbed by extreme weather events, if the ecosystem resilience dynamics can be timely diagnosed and its future trend can be predicted, it will be very beneficial to the sustainable development of the forest ecosystem.

The resilience of forest ecosystems are affected by many factors, it depends on not only the size of the side effects of interference, but also the social, economic, and other human factors management policy a positive effect on the extent and time-dependent, these factors not only affect forest ecosystems system resilience size also affects the dynamic process of the restoring force and the required time of the system returns to steady state. Resilience of forest ecosystems to clarify various factors affecting the dynamics of the interaction between the restoring forces is key to effective management. Based on the current resilience analysis, the current ecosystem resilience mechanism of interactions among the natural, social, economic and management is not enough, the human positive effect on resilience evaluation process are rarely analyzed.

As the research object of subtropical forest ecosystems resilience disturbed by the 2008 snow frozen disaster, the system dynamics method is introduced to build the dynamic diagnosing model of the forest ecosystem resilience, considering various forest ecosystem and social economy factors. Based on this dynamic diagnosing model, this study will simulate the interactions among the forest ecosystem resilience factors and their variations, and evaluate the temporal and spatial variations of forest ecosystem resilience and its influencing factors. It will also simulate the forest ecosystems resilience and the recovery time restoring to 2004 resilience levels under different investment scenarios. With comparison between natural recovery forest area in national natural protected area and the farmers managed forest areas, the human activities impacts on forest ecosystem resilience will be simulated and evaluated.

The successful implementation of this project will show an important scientific value for ecosystem resilience dynamic diagnosing and quantitative evaluation, and also provide the policy basis and scientific reference for improving subtropical forest ecosystem resilience after disturbed by snow freeze disaster.

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