Forest growth in relation to site conditions. Application of the model forgro to the Solling spruce site

Abstract A dynamic simulation model of forest growth ( forgro ) is combined with a general model of soil acidification ( nucsam ) to give an integrated model that can be used to study effects of air pollution and soil acidification on forest growth for the Solling F1 site. Direct effects are quantified through stomatal uptake of air pollutants, and physiological effects of pollutant metabolites within the living tissue. Indirect effects are quantified through soil nutrient availability and conditions for root growth. Indirect effects determine the nutrient status of the trees, which in turn influences the susceptibility to direct effects of gaseous air pollutants. With the combined models, an analysis of combined effects of air pollution and soil acidification becomes feasible. Emphasis in the paper is on quantification of nutrient relations and growth, and the consequences of long-term changes in nutrient availability by soil acidification. In case of the Solling spruce site, the magnitude of the short-term, direct effects of air pollutants was found to be negligible, as was found elsewhere under comparable exposure conditions. Furthermore, it was investigated what effects of drastic changes in root characteristics were simulated. The model results indicate that the system is relatively insensitive to changes in rooting depth, but that uptake of nutrients strongly depends on soil moisture conditions.

[1]  Roderick C. Dewar,et al.  Carbon Allocation in Trees: a Review of Concepts for Modelling , 1994 .

[2]  H. Fiedler,et al.  Forstliche Pflanzenernährung und Düngung , 1973 .

[3]  H. Berge,et al.  Simulation of Ecophysiological Processes of Growth in Several Annual Crops , 1989 .

[4]  G. Mohren Integrated Effects (Forests) , 1991 .

[5]  H. Keulen,et al.  A simple and universal crop growth simulator: SUCROS87. , 1989 .

[6]  E. Schulze,et al.  Nutritional Disharmony and Forest Decline: A Conceptual Model , 1989 .

[7]  A. Tiktak,et al.  The Solling Norway Spruce site , 1995 .

[8]  Godefridus M. J. Mohren,et al.  Simulation of forest growth, applied to douglas fir stands in the Netherlands , 1987 .

[9]  M. Černý,et al.  Biomass of picea abies (L.) Karst. in midwestern bohemia , 1990 .

[10]  G. Wallin,et al.  Long-term exposure of Norway spruce, Picea abies (L.) Karst., to ozone in open-top chambers: IV. Effects on the stomatal and non-stomatal limitation of photosynthesis and on the carboxylation efficiency. , 1992, The New phytologist.

[11]  L. Skärby,et al.  Long‐term exposure of Norway spruce, Picea abies (L.) Karst., to ozone in open top chambers , 1992 .

[12]  H. Marschner,et al.  Ion and Water Uptake in Relation to Root Development in Norway Spruce (Picea abies (L.) Karst.) , 1988 .

[13]  H. Kros,et al.  Application of the model nucsam to the Solling spruce site , 1995 .

[14]  G. Mohren,et al.  A process-based growth model (FORGRO) for analysis of forest dynamics in relation to environmental factors. , 1993 .

[15]  M. J. Kropff,et al.  Quantification of SO2 effects on physiological processes, plant growth and crop production , 1989 .

[16]  J. Erisman,et al.  3. Concentration and Deposition of Acidifying Compounds , 1991 .

[17]  A. Tiktak,et al.  The Solling dataset. Site characteristics, monitoring data and deposition scenarios , 1995 .

[18]  W. Beyschlag,et al.  Photosynthetic performance and nutrient status of Norway spruce [Picea abies (L.) Karst.] at forest sites in the Ore Mountains (Erzgebirge) , 2004, Trees.

[19]  N. M. Darrall,et al.  The effect of air pollutants on physiological processes in plants , 1989 .

[20]  J. Goudriaan Potential production processes , 1982 .

[21]  P. Willigen Calculation of uptake of nutrients and water by a root system , 1990 .