KIT | KIT-Bibliothek | Impressum | Datenschutz

Cross-sectoral resource management: How forest management alternatives affect the provision of biomass and other ecosystem services

Frank, S.; Fürst, C.; Pietzsch, F.

Integrated forest management is faced with the challenge that the contribution of forests to economic and ecological planning targets must be assessed in a socio-ecological system context. This paper introduces a way to model spatio-temporal dynamics of biomass production at a regional scale in order to derive land use strategies that enhance biomass provision and avoid trade-offs for other ecosystem services. The software platform GISCAME was employed to bridge the gap between local land management decisions and regional planning by linking growth and yield models with an integrative mesoscale modeling and assessment approach. The model region is located in Saxony, Germany. Five scenarios were simulated, which aimed at testing different alternatives for adapted land use in the context of climate change and increasing biomass demand. The results showed, for example, that forest conversion towards climate-change-adapted forest types had positive effects on ecological integrity and landscape aesthetics. In contrast, negative impacts on landscape aesthetics must be expected if agricultural sites were converted into short rotation coppi ... mehr

Open Access Logo

Verlagsausgabe §
DOI: 10.5445/IR/110104140
Veröffentlicht am 07.11.2018
DOI: 10.3390/f6030533
Zitationen: 25
Web of Science
Zitationen: 22
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 1999-4907
KITopen-ID: 110104140
HGF-Programm 12.02.01 (POF III, LK 01)
Erschienen in Forests
Band 6
Heft 3
Seiten 533-560
Schlagworte biomass, land use change, impact assessment, regional planning, decision support system
Nachgewiesen in Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page