Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands

0545537 - ÚVGZ 2022 RIV NL eng J - Journal Article
Zhou, H. - Shao, J. - Liu, H. - Du, Z. - Zhou, L. - Liu, R. - Bernhofer, Ch. - Gruenwald, T. - Dušek, Jiří - Montagnani, L. - Tagesson, T. - Black, T. A. - Jassal, R. - Woodgate, W. - Biraud, S. - Varlagin, A. - Mammarella, I. - Gharun, M. - Shekhar, A. - Buchmann, N. - Manco, A. - Magliulo, E. - Billesbach, D. - Silberstein, R. P. - Ohta, T. - Yu, G. - Chen, Z. - Zhang, Y. - Zhou, X.
Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands.
Agricultural and Forest Meteorology. Roč. 307, SEP (2021), č. článku 108506. ISSN 0168-1923. E-ISSN 1873-2240
R&D Projects: GA MŠMT(CZ) LM2018123
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : carbon balance * organic-matter * interannual variability * temperature sensitivity * nutrient availability * litter decomposition * ecosystem exchange * land-surface * leaf-area * respiration * Carbon * Climatic variables * Net ecosystem exchange * Plant traits * Soil properties * Spatial variability
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 6.424, year: 2021
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0168192321001908?via%3Dihub

Compared to the well-known drivers of spatial variability in gross primary productivity (GPP), the relative importance of climatic variables, soil properties and plant traits to the spatial variability in net ecosystem exchange of CO2 between terrestrial ecosystem and atmosphere (NEE) is poorly understood. We used principal component regression to analyze data from 147 eddy flux sites to disentangle effects of climatic variables, soil properties and plant traits on the spatial variation in annual NEE and its components (GPP and ecosystem respiration (RE)) across global forests and grasslands. Our results showed that the largest unique contribution (proportion of variance only explained by one class of variables) to NEE variance came from climatic variables for forests (24%-30%) and soil properties for grasslands (41%-54%). Specifically, mean annual precipitation and potential evapotranspiration were the most important climatic variables driving forest NEE, whereas available soil water capacity, clay content and cation exchange capacity mainly influenced grassland NEE. Plant traits showed a small unique contribution to NEE in both forests and grasslands. However, leaf phosphorus content strongly interacted with soil total nitrogen density and clay content, and these combined factors represented a major contribution for grassland NEE. For GPP and RE, the majority of spatial variance was attributed to the common contribution of climate, soil and plant traits (50% 62%, proportion of variance explained by more than one class of variables), rather than their unique contributions. Interestingly, those factors with only minor influences on GPP and RE variability (e.g., soil properties) have significant contributions to the spatial variability in NEE. Such emerging factors and the interactions between climatic variables, soil properties and plant traits are not well represented in current terrestrial biosphere models, which should be considered in future model improvement to accurately predict the spatial pattern of carbon cycling across forests and grasslands globally.
Permanent Link: http://hdl.handle.net/11104/0322223