RT Journal Article
SR 00
A1 Koca, D.
A1 Smith, B.
A1 Bergh, J.
A1 Nilsson, U.
A1 Franklin, O.
A1 Obersteiner, M.
A1 Sykes, M.T.
T1 Increased accuracy in climate impact studies by incorporating forest management practices within a process-based regional ecosystem modelling framework
JF Meddelanden från Lunds universitets geografi ska institution. Avhandlingar No.162
YR 2006
FD 2006
VO 162
SP 77
OP 89
K1 LPJ-GUESS; Managed forest ecosystems; Net primary productivity; Process-based ecosystem modelling; Stem wood volume increment; Sweden
AB 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.
PB University of Lund
SN 0346-6787
LK https://pure.iiasa.ac.at/id/eprint/13463/