Linking flux network measurements to continental scale simulations: ecosystem carbon dioxide exchange capacity under non‐water‐stressed conditions
By K. Owen, John Tenhunen, Markus Reichstein, Quan Wang, E. Falge, R. Geyer, Xiangming Xiao, P. Stoy, C. Ammann, A. Arain and 20 more. 2007
108 citations recorded by the source corpus.
This paper examines long‐term eddy covariance data from 18 European and 17 North American and Asian forest, wetland, tundra, grassland, and cropland sites under non‐water‐stressed conditions with an empirical rectangular hyperbolic light response model and a single layer two light‐class carboxylase‐based model. Relationships according to ecosystem functional type are demonstrated between empirical and physiological parameters, suggesting linkages between easily estimated parameters and those with greater potential for process interpretation. Relatively sparse documentation of leaf area index dynamics at flux tower sites is found to be a major difficulty in model inversion and flux interpretation. Therefore, a simplification of the physiological model is carried out for a subset of European network sites with extensive ancillary data. The results from these selected sites are used to derive a new parameter and means for comparing empirical and physiologically based methods across all sites, regardless of ancillary data. The results from the European analysis are then compared with results from the other Northern Hemisphere sites and similar relationships for the simplified process‐based parameter were found to hold for European, North American, and Asian temperate and boreal climate zones. This parameter is useful for bridging between flux network observations and continental scale spatial simulations of vegetation/atmosphere carbon dioxide exchange.
Subfields: Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/1e3f27ce8f622907bd16500057ed96973aefe6cd
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In Global and Planetary Change
Citations in the corpus
- Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape (2008, background): “These models can be validated and improved by combining them with flux tower data [62-64].”
- A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape-scale heterogeneity (2013, unknown): “…(2009) CNXi2 GRA 43.5544 116.671 Wang et al. (2008) DEBay ENF 50.1419 11.8669 Valentini et al. (2000) DEGeb CRO 51.1001 10.9143 Anthoni et al. (2004a) DEGri GRA 50.9495 13.5125 Owen et al. (2007) DEHai DBF 51.0793 10.452 Knohl et al. (2003) DEHar ENF 47.9344 7.601 Bernhofer et al. (1996) DEKli…”
- Plant functional traits and soil carbon sequestration in contrasting biomes. (2008, unknown): “We therefore propose seven key research challenges that require further investigation: (1) Aboveground and belowground plant traits involved in carbon cycling appear to be weakly coupled, which is a major drawback for modelling and predicting global carbon cycling (Owen et al. 2007).”