Simulation of CO2 Fluxes in European Forest Ecosystems with the Coupled Soil-Vegetation Process Model “LandscapeDNDC”

Forests

Saúl Molina-Herrera¹  R࿍iger Grote¹  Ignacio Santabárbara-Ruiz¹  David Kraus¹  Steffen Klatt¹  Edwin Haas¹  Ralf Kiese¹  Klaus Butterbach-Bahl¹  Maarten Nieuwenhuis² 

[1] Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany; E-Mails:Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany;

关键词: LandscapeDNDC;    process-based ecosystem model;    parametrization;    carbon exchange processes;    model evaluation;    site conditions;    Scots pine;    Norway spruce;    European beech;   

DOI  :  10.3390/f6061779

来源: mdpi

【 摘 要 】

CO₂ exchange processes in forest ecosystems are of profound ecological and economic importance, meaning there is a need for generally applicable simulation tools. However, process-based ecosystem models, which are in principal suitable for the task, are commonly evaluated at only a few sites and for a limited number of plant species. It is thus often unclear if the processes and parameters involved are suitable for model application at a regional scale. We tested the LandscapeDNDC forest growth module PnET (derived from the Photosynthetic / EvapoTranspiration model)with site-specific as well as multi-site calibrated parameters using independent data sets of eddy covariance measurements across a European transect. Although site-specific parametrization is superior (r² for pooled Gross Primary Production (GPP) during calibration period: site-specific = 0.93, multi-site = 0.88; r² for pooled Net Ecosystem Exchange (NEE) during calibration period: site-specific = 0.81, multi-site = 0.73), we show that general parameters are able to represent carbon uptake over periods of several years. The procedure has been applied for the three most dominant European tree species i.e., Scots pine, Norway spruce and European beech. In addition, we discuss potential model improvements with regard to the sensitivity of parameters to site conditions differentiated into climate, nutrient and drought influences.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.