eprintid: 13463 rev_number: 10 eprint_status: archive userid: 353 dir: disk0/00/01/34/63 datestamp: 2016-07-28 13:43:40 lastmod: 2021-08-27 17:27:30 status_changed: 2016-07-28 13:43:40 type: article metadata_visibility: show item_issues_count: 0 creators_name: Koca, D. creators_name: Smith, B. creators_name: Bergh, J. creators_name: Nilsson, U. creators_name: Franklin, O. creators_name: Obersteiner, M. creators_name: Sykes, M.T. creators_id: 1791 creators_id: 7255 creators_orcid: 0000-0002-0376-4140 creators_orcid: 0000-0001-6981-2769 title: Increased accuracy in climate impact studies by incorporating forest management practices within a process-based regional ecosystem modelling framework ispublished: pub divisions: prog_esm keywords: LPJ-GUESS; Managed forest ecosystems; Net primary productivity; Process-based ecosystem modelling; Stem wood volume increment; Sweden abstract: Process-based simulation models of terrestrial ecosystem dynamics are increasingly being applied as practical tools in forest management. Regional applications of such models are, however, very limited to date. This study presents and tests the performance of a process-based regional ecosystem modelling framework, LPJ-GUESS, which incorporates forest management practices. The model is driven by historical climate data and applied on a grid across Sweden to simulate the influence of recent historical management practices on the forest structure and its productivity. The study focuses on species-level interactions and investigates how stem wood volume increment has changed during the historical time period. The performance of the model is evaluated by comparing the simulated forest composition and growth with the observed forest inventory data from Swedish forest regions. The model estimates tend to be somewhat low in the southern and high in the northern part of the country, but generally comparable with observations in all regions of Sweden. Our results emphasize the potential that models like LPJ-GUESS offers to support forestry practice, especially with regard to the choice of species and management regime in a changing environment. date: 2006 date_type: published publisher: University of Lund creators_browse_id: 95 creators_browse_id: 219 full_text_status: public publication: Meddelanden från Lunds universitets geografi ska institution. Avhandlingar No.162 volume: 162 pagerange: 77-89 refereed: TRUE issn: 0346-6787 coversheets_dirty: FALSE fp7_project: no fp7_type: info:eu-repo/semantics/article citation: Koca, D., Smith, B., Bergh, J., Nilsson, U., Franklin, O. ORCID: https://orcid.org/0000-0002-0376-4140 , Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 , & Sykes, M.T. (2006). Increased accuracy in climate impact studies by incorporating forest management practices within a process-based regional ecosystem modelling framework. Meddelanden från Lunds universitets geografi ska institution. Avhandlingar No.162 162 77-89. document_url: https://pure.iiasa.ac.at/id/eprint/13463/1/Increased%20accuracy%20in%20climate%20impact%20studies.pdf