elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Validation of modelled forest biomass in Germany using BETHY/DLR

Tum, Markus and Buchhorn, Marcel and Günther, Kurt P and Haller, Benjamin C (2011) Validation of modelled forest biomass in Germany using BETHY/DLR. Geoscientific Model Development, 4, pp. 1019-1034. DOI: 10.5194/gmd-4-1019-2011.

Full text not available from this repository.

Official URL: http://www.geosci-model-dev.net/4/1019/2011/gmd-4-1019-2011.html

Abstract

We present a new approach to the validation of modelled forest Net Primary Productivity (NPP), using empirical data on the mean annual increment, or MAI, in above-ground forest stock. The soil-vegetation-atmospheretransfer model BETHY/DLR is used, with a particular focus on a detailed parameterization of photosynthesis, to estimate the NPP of forest areas in Germany, driven by remote sensing data from VEGETATION, meteorological data from the European Centre for Medium-Range Weather Forecasts (ECMWF), and additional tree coverage information from the MODIS Vegetation Continuous Field (VCF). The output of BETHY/DLR, Gross Primary Productivity (GPP), is converted to NPP by subtracting the cumulative plant maintenance and growth respiration, and then validated against MAI data that was calculated from German forestry inventories. Validation is conducted for 2000 and 2001 by converting modelled NPP to stem volume at a regional level. Our analysis shows that the presented method fills an important gap in methods for validating modelled NPP against empirically derived data. In addition, we examine theoretical energy potentials calculated from the modelled and validated NPP, assuming sustainable forest management and using species-specific tree heating values. Such estimated forest biomass energy potentials play an important role in the sustainable energy debate.

Document Type:Article
Title:Validation of modelled forest biomass in Germany using BETHY/DLR
Authors:
AuthorsInstitution or Email of Authors
Tum, Markusmarkus.tum@dlr.de
Buchhorn, Marcelmarcel.buchhorn@awi.de
Günther, Kurt Pkurt.guenther@dlr.de
Haller, Benjamin Cben.haller@mail.mcgill.ca
Date:2011
Journal or Publication Title:Geoscientific Model Development
Refereed publication:Yes
In Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:4
DOI:10.5194/gmd-4-1019-2011
Page Range:pp. 1019-1034
Status:Published
Keywords:net primary productivity, national statistics, modelling, remote sensing, energy potential, validation, biomass, forest management
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Datenprodukte für Klima- und Atmosphärenanwendungen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Markus Tum
Deposited On:21 Nov 2011 13:59
Last Modified:22 Apr 2013 12:57

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.