Evaluation of a large-scale forest scenario model in heterogeneous forests: a case study for Switzerland

Large-scale forest scenario models are widely used to simulate the development of forests and to compare the carbon balance estimates of different countries. However, as site variability in the application area often exceeds the variability in the calibration area, model validation is important. The aim of this study was to evaluate the European Forest Information Scenario model (EFISCEN). As Switzerland exhibits high spatial and climatic diversity, it was taken as a case study. The model output was compared to measured data in terms of initialization, estimation of growing stock, stand age, increment, management, and natural mortality. Comparisons were done at the country level, but also for regions and site classes. The results showed that the initialization procedure of EFISCEN works well for Switzerland. Moreover, EFISCEN accurately estimated the observed growing stock at the country level. On a regional level, major differences occurred. In particular, distribution of the harvesting amounts, mortality, and age-class distribution deviated considerably from empirical values. For future model applications, we therefore propose to define the required harvesting level not per country, but to specify it for smaller regions. Moreover, the EFISCEN simulations should be improved by refining the mortality function and by incorporating more flexibility in forest management practices.

[1]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[2]  Ola Sallnäs,et al.  A matrix growth model of the Swedish forest , 1990 .

[3]  William R. Wykoff,et al.  A Basal Area Increment Model for Individual Conifers in the Northern Rocky Mountains , 1990, Forest Science.

[4]  P. Schmid-Haas,et al.  Forest inventories by unmarked permanent sample plots: instructions. , 1993 .

[5]  Jerome K. Vanclay,et al.  Evaluating a growth model for forest management using continuous forest inventory data , 1995 .

[6]  Jerome K. Vanclay,et al.  Growth models for tropical forests: a synthesis of models and methods , 1995 .

[7]  S. Korpel,et al.  Die Urwälder der Westkarpaten , 1995 .

[8]  Oscar García,et al.  Evaluating forest Growth Models , 1997 .

[9]  R. Monserud,et al.  A basal area increment model for individual trees growing in even- and uneven-aged forest stands in Austria , 1996 .

[10]  Robert A. Monserud,et al.  Applicability of the forest stand growth simulator PROGNAUS for the Austrian part of the Bohemian Massif , 1997 .

[11]  E. Wald,et al.  Schweizerisches Landesforstinventar : Ergebnisse der Zweitaufnahme 1993-1995 , 1999 .

[12]  N. H. Ravindranath,et al.  Land Use, Land-Use Change, and Forestry: A Special Report of the Intergovernmental Panel on Climate Change , 2000 .

[13]  Gert-Jan Nabuurs,et al.  Validation of the European Forest Information Scenario Model (EFISCEN) and a projection of Finnish forests , 2000 .

[14]  S. Wofsy,et al.  Where Has All the Carbon Gone? , 2001, Science.

[15]  J. Liski,et al.  Manual for the European Forest Information Scenario Model (EFISCEN 2.0) , 2001 .

[16]  C. Peng,et al.  Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998 , 2001, Science.

[17]  P. Ciais,et al.  Consistent Land- and Atmosphere-Based U.S. Carbon Sink Estimates , 2001, Science.

[18]  Christopher B. Field,et al.  FOREST CARBON SINKS IN THE NORTHERN HEMISPHERE , 2002 .

[19]  M. Schelhaas,et al.  Adding natural disturbances to a large-scale forest scenario model and a case study for Switzerland , 2002 .

[20]  Taro Takahashi,et al.  Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models , 2002, Nature.

[21]  S. Nilsson,et al.  Dynamics of Russian Forests and the Carbon Budget in 1961–1998: An Assessment Based on Long-Term Forest Inventory Data , 2002 .

[22]  Markus Erhard,et al.  Analyzing the Ecosystem Carbon Dynamics of Four European Coniferous Forests Using a Biogeochemistry Model , 2003, Ecosystems.

[23]  Hubert Sterba,et al.  Diamonds in EFI's forest resources and information research , 2003 .

[24]  D. Baldocchi Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future , 2003 .

[25]  Julien Clinton Sprott,et al.  Self-organization and complexity in historical landscape patterns , 2003 .

[26]  John Nelson,et al.  Forest-level models and challenges for their successful application , 2003 .

[27]  Jari Liski,et al.  Scenario analysis of the impacts of forest management and climate change on the European forest sector carbon budget , 2003 .

[28]  R. Houghton,et al.  Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850–2000 , 2003 .

[29]  Juha Heikkinen,et al.  Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests , 2003 .

[30]  Dehai Zhao,et al.  Individual-tree diameter growth and mortality models for bottomland mixed-species hardwood stands in the lower Mississippi alluvial valley , 2004 .

[31]  Maurizio Mencuccini,et al.  On simplifying allometric analyses of forest biomass , 2004 .

[32]  Robert A. Monserud,et al.  An evaluation of diagnostic tests and their roles in validating forest biometric models , 2004 .

[33]  J. Liski,et al.  Carbon and decomposition model Yasso for forest soils , 2005 .

[34]  E. Assmann Zur “Theorie der Grundflächenhaltung” , 1968, Forstwissenschaftliches Centralblatt.