Natural and social dimensions of forest carbon accounting
Author
Summary, in English
Several approaches are available for monitoring of forest carbon fluxes. Sample based field inventories form the basis for the collection of forest information in most countries. Remote sensing offers the ability to map forests with high resolution, and process-based computer models can simulate the behavior of forest ecosystems and predict their response to future climate and changes in management. The aim of this thesis is to study the impact of different approaches on forest carbon monitoring, and suggest how they can be combined to enhance the results by utilizing the strengths of the respective methods. The potential of technological advances in remote sensing and modeling application is related to the needs of the Swedish forestry sector identified by interviews, and an approach is presented for verifying carbon flux estimates versus tower measurements of carbon dioxide concentrations. The results highlight the differences between methodological approaches for forest carbon monitoring, both regarding their impact when estimating regional carbon budgets and implications at the international political arena. Process-based modeling informed by remote sensing and/or field inventory data is shown to be an efficient tool for simulating the spatial distribution of Swedish forest carbon fluxes that can deliver the demands for increased forest information.
Department/s
Publishing year
2018
Language
English
Full text
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Document type
Dissertation
Publisher
Lund University, Faculty of Science, Department of Physical Geography and Ecosystem Science
Topic
- Physical Geography
Keywords
- Forest carbon fluxes
- REDD+
- boreal forest
- LPJ-GUESS
- BIOME-BGC
- remote sensing
Status
Published
ISBN/ISSN/Other
- ISBN: 978-91-85793-92-1
- ISBN: 978-91-85793-91-4
Defence date
30 May 2018
Defence time
10:00
Defence place
Lecture hall “Pangea”, Geocentrum II, Sölvegatan 12, Lund
Opponent
- David Turner (Professor)