Winter respiratory C losses provide explanatory power for net ecosystem productivity

0483051 - ÚVGZ 2019 RIV US eng J - Journal Article
Haeni, M. - Zweifel, R. - Eugster, W. - Gessler, A. - Zielis, S. - Bernhofer, C. - Carrara, A. - Gruenwald, T. - Havránková, Kateřina - Heinesch, B. - Herbst, M. - Ibrom, A. - Knohl, A. - Lagergren, F. - Law, B. E. - Marek, Michal V. - Matteucci, G. - McCaughey, J. H. - Minerbi, S. - Montagnani, L. - Moors, E. - Olejnik, Janusz - Pavelka, Marian - Pilegaard, K. - Pita, G. - Rodrigues, A. - Sanz Sanchez, M. J. - Schelhaas, M.J. - Urbaniak, M. - Valentini, R. - Varlagin, A. - Vesala, T. - Vincke, C. - Wu, J. - Buchmann, N.
Winter respiratory C losses provide explanatory power for net ecosystem productivity.
Journal of Geophysical Research-Biogeosciences. Roč. 122, č. 1 (2017), s. 243-260. ISSN 2169-8953. E-ISSN 2169-8961
R&D Projects: GA MŠMT(CZ) LO1415
Grant - others:COST(IT) FP0903 Action
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:86652079
Keywords : spaceborne imaging spectroscopy * temperate deciduous forest * mixedwood boreal forest * beech fagus-sylvatica * water-vapor exchange * stem radius changes * carbon uptake * interannual variability * photosynthetic capacity * leaf characteristics * eddy covariance * CO2 exchange * carbon sink * carbon source * growing season length * winter respiration
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.484, year: 2017

Accurate predictions of net ecosystem productivity (NEPc) of forest ecosystems are essential for climate change decisions and requirements in the context of national forest growth and greenhouse gas inventories. However, drivers and underlying mechanisms determining NEPc (e.g., climate and nutrients) are not entirely understood yet, particularly when considering the influence of past periods. Here we explored the explanatory power of the compensation day (cDOY)defined as the day of year when winter net carbon losses are compensated by spring assimilationfor NEPc in 26 forests in Europe, North America, and Australia, using different NEPc integration methods. We found cDOY to be a particularly powerful predictor for NEPc of temperate evergreen needleleaf forests (R-2=0.58) and deciduous broadleaf forests (R-2=0.68). In general, the latest cDOY correlated with the lowest NEPc. The explanatory power of cDOY depended on the integration method for NEPc, forest type, and whether the site had a distinct winter net respiratory carbon loss or not. The integration methods starting in autumn led to better predictions of NEPc from cDOY then the classical calendar method starting 1 January. Limited explanatory power of cDOY for NEPc was found for warmer sites with no distinct winter respiratory loss period. Our findings highlight the importance of the influence of winter processes and the delayed responses of previous seasons' climatic conditions on current year's NEPc. Such carry-over effects may contain information from climatic conditions, carbon storage levels, and hydraulic traits of several years back in time.
Permanent Link: http://hdl.handle.net/11104/0278477