Considering Management Impacts within BGC Modeling
Abstract
Large scale ecosystem models are designed to reproduce and quantify ecosystem processes. Based on biome or species specific parameter sets, the energy, carbon, nitrogen and water cycles of different ecosystems are assessed to investigate ecosystem fluxes as they are derived by plant, site and environmental factors. The general model approach assumes uniform and fully stocked forests. Since most European forests are managed it essential to understand the limits and precision of model applications to managed forests. In this study we investigate and incorporate common forest management practices within the Biome-BGC model. Using "Monte- Carlo" simulations we analyze the thinning response of current model settings under varying stand densities. Results and a comparison with measured data suggest that predictions will be biased. Using long term experimental plots of Norway spruce and common beech forests with a well documented thinning history, we propose a thinning subroutine, which addresses the changes in allocation patterns after stand density changes. Validation tests of improved model structure across different long term experimental sites in Central Europe revealed unbiased and consistent predictions.
- Publication:
-
AGU Spring Meeting Abstracts
- Pub Date:
- May 2007
- Bibcode:
- 2007AGUSM.B31A..06P
- Keywords:
-
- 0414 Biogeochemical cycles;
- processes;
- and modeling (0412;
- 0793;
- 1615;
- 4805;
- 4912);
- 0428 Carbon cycling (4806);
- 0495 Water/energy interactions (1878);
- 1630 Impacts of global change (1225);
- 1631 Land/atmosphere interactions (1218;
- 1843;
- 3322)