Vegetation-specific model parameters are not required for estimating gross primary production
Wenping Yuan,
Wenwen Cai,
Shuguang Liu,
Wenjie Dong,
Jiquan Chen,
M. Altaf Arain,
Peter D. Blanken,
Alessandro Cescatti,
Georg Wohlfahrt,
Teodoro Georgiadis,
Lorenzo Genesio,
Damiano Gianelle,
Achim Grelle,
Gerard Kiely,
Alexander Knohl,
Dan Liu,
Michal V. Marek,
Lutz Merbold,
Leonardo Montagnani,
Oleg Panferov,
Mikko Peltoniemi,
Serge Rambal,
Antonio Raschi,
Andrej Varlagin and
Jiangzhou Xia
Ecological Modelling, 2014, vol. 292, issue C, 1-10
Abstract:
Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is independent of vegetation cover type and characteristics can be adopted in prevalent LUE models. Availability of this well tested and universal set of parameters would help to improve the accuracy and applicability of LUE models in various biomes and geographic regions.
Keywords: Light use efficiency; Gross primary production; Model parameters (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380014003962
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:292:y:2014:i:c:p:1-10
DOI: 10.1016/j.ecolmodel.2014.08.017
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().