Abstract
This report includes the final project results of the two groups at PIK, involved in the project: Firstly, the newly developed physiologically-based forest growth model FORSANA was applied for the first time to three pine stands, which differed largely in their air pollution and deposition history. (The evaluation of the model is presented in PIK Report 32). The model was able to explain the growth during the last decades of at least two of the three stands from the climatic and deposition conditions at the sites. The third site was shown to be exceptional with respect to its relation between dimension and age, and was supposed to be exposed to major disturbances in the past, which could not be accounted for by the model. To extrapolate from the stand level to the regional level, FORSANA was initialised with spatially explicit data from forestry inventory and soil maps. Simulations were executed with measured weather records and regional distributions of deposition and air pollution, which were estimated on the basis of emission inventories and wind directions. Different assumptions about the development of air pollution had been applied to investigate different pollution abatement strategies. The results showed that a positive effect can be
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Citation Formats
Bellmann, K, Erhard, M, Flechsig, M, Grote, R, and Suckow, F.
SANA - project results and PIK contributions.
Germany: N. p.,
1998.
Web.
Bellmann, K, Erhard, M, Flechsig, M, Grote, R, & Suckow, F.
SANA - project results and PIK contributions.
Germany.
Bellmann, K, Erhard, M, Flechsig, M, Grote, R, and Suckow, F.
1998.
"SANA - project results and PIK contributions."
Germany.
@misc{etde_643209,
title = {SANA - project results and PIK contributions}
author = {Bellmann, K, Erhard, M, Flechsig, M, Grote, R, and Suckow, F}
abstractNote = {This report includes the final project results of the two groups at PIK, involved in the project: Firstly, the newly developed physiologically-based forest growth model FORSANA was applied for the first time to three pine stands, which differed largely in their air pollution and deposition history. (The evaluation of the model is presented in PIK Report 32). The model was able to explain the growth during the last decades of at least two of the three stands from the climatic and deposition conditions at the sites. The third site was shown to be exceptional with respect to its relation between dimension and age, and was supposed to be exposed to major disturbances in the past, which could not be accounted for by the model. To extrapolate from the stand level to the regional level, FORSANA was initialised with spatially explicit data from forestry inventory and soil maps. Simulations were executed with measured weather records and regional distributions of deposition and air pollution, which were estimated on the basis of emission inventories and wind directions. Different assumptions about the development of air pollution had been applied to investigate different pollution abatement strategies. The results showed that a positive effect can be expected from the actual emission reductions close the main centres of emission, but showed also that this effect is decreasing with increasing distance from the emission source. (orig./KW)}
place = {Germany}
year = {1998}
month = {Mar}
}
title = {SANA - project results and PIK contributions}
author = {Bellmann, K, Erhard, M, Flechsig, M, Grote, R, and Suckow, F}
abstractNote = {This report includes the final project results of the two groups at PIK, involved in the project: Firstly, the newly developed physiologically-based forest growth model FORSANA was applied for the first time to three pine stands, which differed largely in their air pollution and deposition history. (The evaluation of the model is presented in PIK Report 32). The model was able to explain the growth during the last decades of at least two of the three stands from the climatic and deposition conditions at the sites. The third site was shown to be exceptional with respect to its relation between dimension and age, and was supposed to be exposed to major disturbances in the past, which could not be accounted for by the model. To extrapolate from the stand level to the regional level, FORSANA was initialised with spatially explicit data from forestry inventory and soil maps. Simulations were executed with measured weather records and regional distributions of deposition and air pollution, which were estimated on the basis of emission inventories and wind directions. Different assumptions about the development of air pollution had been applied to investigate different pollution abatement strategies. The results showed that a positive effect can be expected from the actual emission reductions close the main centres of emission, but showed also that this effect is decreasing with increasing distance from the emission source. (orig./KW)}
place = {Germany}
year = {1998}
month = {Mar}
}