iForest - Biogeosciences and Forestry
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Modelling the carbon budget of intensive forest monitoring sites in Germany using the simulation model BIOME-BGC

iForest - Biogeosciences and Forestry, Volume 2, Issue 1, Pages 7-10 (2009)
doi: https://doi.org/10.3832/ifor0475-002
Published: Jan 21, 2009 - Copyright © 2009 SISEF

Research Articles

Collection/Special Issue: Cost Action E29 Meeting 2008 - Istanbul (Turkey)
Future Monitoring and Research Needs for Forest Ecosystems
Guest Editors: Marcus Schaub (WSL, Birmensdorf, CH)

It is shown that by calibrating the simulation model BIOME-BGC with mandatory and optional Level II data, within the ICP Forest programme, a well-founded calculation of the carbon budget of forest stands is achievable and, based on succeeded calibration, the modified BIOME-BGC model is a useful tool to assess the effect of climate change on forest ecosystems.

Monitoring, Carbon budget, Modelling, Climate change

  Introduction 

The main focus of the intensive monitoring of forests (Level II) within the ICP Forest programme of the UN-ECE is the investigation of effects of atmospheric deposition on element budgets, soil chemistry, crown condition, and tree growth of forest ecosystems. Investigations on forest carbon budget are limited to the sampling of stem increments within a 5 years interval. In a limited number of stands some supplementary measurements are carried out concerning the above and below ground carbon turnover.

The aim of this study was the assessment of additional measurements (litter fall, permanent girth measurement, tree ring analyses, soil respiration, long term development of soil carbon, soil physics, soil moisture) to improve the initialization, calibration and validation of dynamic simulation models with respect to the carbon budget of forest ecosystems. The validated simulation models can be applied for the assessment of the impact of climate change on the carbon budget of forests.

  Methods 

Sixteen German Level II plots with Fagus sylvatica (3), Pinus sylvestris (8) and Picea abies (5) were selected, where the measurements of the mandatory and optional programmes (meteorology, stand precipitation, soil moisture, deposition, soil solution, soil chemistry, stem biomass (5 years cycle), stem girth measurements, litter fall, crown condition, foliar analysis) and in some cases data on soil physics, tree ring analyses, and sap flow were available. At these plots soil respiration was measured, additionally ([1]). For differentiation between heterotrophic and root respiration the trenching technique was used ([6]).

In our investigation the data were used for the initialization and calibration of BIOME-BGC version 4.2 ([14] - ⇒ http:/­/­www.­ntsg.­umt.­edu/­models/­bgc/­), a simulation model for calculating the energy, water, carbon, and nitrogen budget of biomes. For the purpose of the project the programme code of BIOME-BGC was extended by a forest management module, a multi-layered soil water, C, and temperature module, and a root growth module. The programme code concerning phenology, decomposition, canopy evaporation and transpiration modules was modified. At the present status the model shows a more species and stand specific behavior. The number of ecophysiological model parameters (including management) was enhanced from 37 to 80.

The carbon and water budgets of these 16 Level-II sites were calculated for the simulation period 1996-2005 using meteorological data of the open field measurements of the plots.

For analyzing the effects of climate change, the climate scenarios of the statistical model STAR ([12]) for the DWD stations and the years 2046-2055, based on the SRES emission scenario A2 of the IPCC and the global climate model ECHAM5-MPI-OM were used. For the base and climate change scenarios identical initial model values were used. The climate change scenarios consider the predicted atmospheric CO2 concentrations, too, but did not use changing nitrogen deposition.

  Results 

Comparisons of simulation results with measurements on stand precipitation, soil moisture, and sap flow demonstrate, that the model BIOME-BGC (including modifications) allows a precise simulation of water budget (not depicted). The same applies to soil temperature.

The long term averages of leaf litter fall and stem growth can be simulated with satisfying precision, if the plot number 906 is disregarded (Fig. 1, Fig. 2). In some stands basal area increment from tree ring analyses are weakly correlated to simulated stem increment, mainly in pine stands on sandy soils of Brandenburg (Fig. 3). The annual variation of measured values of leaf litter fall and stem growth exceeds the annual variation of simulation results.

Fig. 1 - Simulation results compared to measurements: litter fall.

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Fig. 2 - Simulation results compared to measurements: wood increment.

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Fig. 3 - Simulation results compared to measurements: deviation of the measured basal area increment from hyperbolic trend compared to the deviation of the simulated current annual stem increment from the linear trend.

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Repeated measurements of soil carbon are only available for two stands (Solling beech and spruce). In these stands, the increasing soil carbon stocks cannot be found in the current simulation results. Instead, a slow decrease is simulated (not depicted).

The seasonality of soil respiration (heterotrophic + root resp.) can be reproduced by the model predictions, with the exception of some peaks in summer (Fig. 4). Major deviations occur if measurements at soil sites with trenched roots are interpreted as heterotrophic respiration and compared to simulation results (not depicted).

Fig. 4 - Simulation results compared to measurements: soil respiration (heterotrophic + root respiration).

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Simulations using climate change scenarios showed an increasing productivity (GPP, NPP, stem and leaf growth - Fig. 5). On the other hand, the plant and heterotrophic respiration is rising, too. The carbon sequestration of the stands (NEP) is increased under the climate change scenarios (Fig. 6). Due to reduced precipitation, a weak reduction of evaporation and a considerable reduction of soil water outflow (43 % of base scenario) are predicted (not depicted). Transpiration reacts different depending on tree species and site conditions.

Fig. 5 - Simulated net primary production (NPP) under climate change scenarios compared to the measured climate data.

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Fig. 6 - Simulated net ecosystem production (NEP) under climate change scenarios compared to the measured climate data.

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  Discussion 

Correct simulations of hydrology and the soil temperature of the forest ecosystem, as realized in this investigation, are essential preconditions for estimating the carbon budget of forest ecosystems with dynamic simulation models.

Even if simulated leaf litter fall and stem growth more or less agree with measurements, the higher annual variations of observations compared to those of simulations indicates, that the model does not yet consider all essential factors determining stem and leaf growth (e.g., fructification, air pollutants). In case of the plot number 906 successful model calibration is not possible. This is may caused by data errors on driving forces, initial values, or on data for calibration.

The divergent simulation results on development of soil carbon pools compared to measurements may have different causes. First, the spatial heterogeneity of soil carbon leads to a wide range of data ([11], [8]) that complicate model initialization and calibration. Additionally, measurements on coarse woody debris are lacking, and data on root turnover, one of the main input-path of organic matter into the soil, are uncertain. Finally, seed production as a further pathway of organic matter into the litter layer is neglected by the model.

With respect to these uncertainties the additional soil respiration measurements represent valuable data for model initialization and calibration. Measured soil respiration with living roots could be simulated satisfactorily. In contrast, the root trenching technique for separation of root and heterotrophic respiration may produce some artifacts, at least under dry summer conditions. Thus, the latter measurements are an uncertain database for model calibration aiming on separated consideration of root and heterotrophic respiration.

The climate change scenarios applied in this investigation are characterized by rising temperature and atmospheric CO2 concentrations and decreasing precipitation. The application of these climate change scenarios are connected to some artifacts caused by systematic climate differences between the meteorological stations of the national weather service (used for climate change scenarios) and open land stations belonged to Level II plots (used for base scenarios).

The simulation results on climate change effects on water budget with decreasing evaporation and water outflow are in line with other investigations ([5]). The results of higher wood production under climate change conditions are in agreement with analyses on growth trends of the past ([13], [2]) and simulation studies for future development ([10], [4]). Obviously, the simulated rising water stress at some Level II plots is counteracted by the fertilizing effect of rising CO2 concentration. By contrast, a simulation study on pine stands in Brandenburg (Germany) reports reduced productivity ([9]). In Europe different gradients (north-south, altitude, maritime-continental) of forest growth reaction on climate change are expected. In the boreal zone the limiting low temperature effect will be reduced, whereas in the Mediterranean zone the limiting drought effect is expected to be enhanced ([7], [3]).

  Conclusions 

The monitoring data from the current mandatory and optional Level II programme provide valuable information for calibration of dynamic simulation models for calculating the carbon budget of forest ecosystems. Additionally, the data offer some hints for further model development. By calibrating the simulation model BIOME-BGC with mandatory and optional Level II data, a well-founded calculation of the carbon budget of forest stands is achievable. Furthermore, based on succeeded calibration, the modified BIOME-BGC model is a useful tool to assess climate change effects on forest ecosystems.

  Acknowledgements 

These results are part of a project that was financially supported by the European Commission, Contract No. Forest Focus - DE 2003/2004 BB 5, DE 2003/2004 BY 4, DE 2003/2004 NI 6.

  References

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Authors’ Affiliation

(1)
H Jochheim
M Puhlmann
Leibniz-Centre for Agricultural Landscape Research, Eberswalder Str. 84, D-15374 Müncheberg (Germany)
(2)
F Beese
D Berthold
H Schulte-Bisping
Institute of Soil Science and Forest Nutrition, University Göttingen, Büsgenweg 2, D-37077 Göttingen (Germany)
(3)
P Einert
R Kallweit
A Konopatzky
Landesforstanstalt Eberswalde, Alfred-Möller-Str. 1, D-16225 Eberswalde (Germany)
(4)
H Meesenburg
K-J Meiwes
Nordwestdeutsche Forstliche Versuchsanstalt, Grätzelstr. 2, D-37079 Göttingen (Germany)
(5)
S Raspe
C Schulz
Bayerische Landesanstalt für Wald und Forstwirtschaft, Am Hochanger 11, D-85354 Freising (Germany)

Corresponding author

 
H Jochheim
hjochheim@zalf.de

Citation

Jochheim H, Puhlmann M, Beese F, Berthold D, Einert P, Kallweit R, Konopatzky A, Meesenburg H, Meiwes K-J, Raspe S, Schulte-Bisping H, Schulz C (2009). Modelling the carbon budget of intensive forest monitoring sites in Germany using the simulation model BIOME-BGC. iForest 2: 7-10. - doi: 10.3832/ifor0475-002

Academic Editor

Marcus Schaub

Paper history

Received: Mar 27, 2008
Accepted: Dec 09, 2008

First online: Jan 21, 2009
Publication Date: Jan 21, 2009
Publication Time: 1.43 months

© SISEF - The Italian Society of Silviculture and Forest Ecology 2009

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