Model-data fusion in studies of the terrestrial carbon sink

By: , and 
Edited by: A.J. JakemanA.A. VoinovA.E. Rizzoli, and S.H. Chen



Current uncertainty in quantifying the global carbon budget remains a major contributing source of uncertainty in reliably projecting future climate change. Furthermore, quantifying the global carbon budget and characterising uncertainties have emerged as critical to a successful implementation of the United Nations Framework Convention on Climate Change and its Kyoto Protocol. Beyond fundamental quantification, attribution of the processes responsible for the so-called ‘residual terrestrial uptake’ is important to the carbon cycle communities' ability to simulate the future response of the terrestrial biosphere to climate change and intentional sequestration activities. The objective of this chapter is to describe the approaches to model-data fusion enabling continued advances in quantifying carbon cycling and the terrestrial mechanisms at work. The major impediments to advances in this field include accounting for climate variability and uncertainties in model outcomes. One proposed solution to overcome these obstacles is the use of data from the FLUXNET network to characterise the relative strength of climate impact on plant productivity and respiration. Other solutions involve the use of atmospheric CO2 concentration measurements for model validation and the use of remote sensing data.

Additional publication details

Publication type Book chapter
Publication Subtype Book Chapter
Title Model-data fusion in studies of the terrestrial carbon sink
Chapter 19
DOI 10.1016/S1574-101X(08)00619-4
Volume 3
Year Published 2008
Language English
Publisher Elsevier
Publisher location Oxford
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 16 p.
Larger Work Type Book
Larger Work Subtype Monograph
Larger Work Title Developments in integrated environmental assessment
First page 329
Last page 344
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