HR: 0800h
AN: B31A-05    [Abstracts]
TI: Assessing Forest NPP: BIOME-BGC Predictions versus BEF Derived Estimates
AU: Hasenauer, H
EM: Hubert.Hasenauer@boku.ac.at
AF: Univ. of Natural Resources and Appl. Life Sciences, Peter-Jordan-Str. 82, Vienna, A-1190, Austria
AU: * Pietsch, S A
EM: Stephan.Pietsch@boku.ac.at
AF: Univ. of Natural Resources and Appl. Life Sciences, Peter-Jordan-Str. 82, Vienna, A-1190, Austria
AU: Petritsch, R
EM: Richard.Petritsch@boku.ac.at
AB: Forest productivity has always been a major issue within sustainable forest management. While in the past terrestrial forest inventory data have been the major source for assessing forest productivity, recent developments in ecosystem modeling offer an alternative approach using ecosystem models such as Biome-BGC to estimate Net Primary Production (NPP). In this study we compare two terrestrial driven approaches for assessing NPP: (i) estimates from a species specific adaptation of the biogeochemical ecosystem model BIOME-BGC calibrated for Alpine conditions; and (ii) NPP estimates derived from inventory data using biomass expansion factors (BEF). The forest inventory data come from 624 sample plots across Austria and consist of repeated individual tree observations and include growth as well as soil and humus information. These locations are covered with spruce, beech, oak, pine and larch stands, thus addressing the main Austrian forest types. 144 locations were previously used in a validating effort to produce species-specific parameter estimates of the ecosystem model. The remaining 480 sites are from the Austrian National Forest Soil Survey carried out at the Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW). By using diameter at breast height (dbh) and height (h) volume and subsequently biomass of individual trees were calculated, aggregated for the whole forest stand and compared with the model output. Regression analyses were performed for both volume and biomass estimates.
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0428 Carbon cycling (4806)
DE: 0495 Water/energy interactions (1878)
DE: 1630 Impacts of global change (1225)
DE: 1631 Land/atmosphere interactions (1218, 1843, 3322)
SC: Biogeosciences [B]
MN: 2007 Joint Assembly