To investigate the effects of atmospheric CO2 enrichment on physiology and autumnal leaf phenology, we exposed 3-year-old sugar maple (Acer saccharum Marsh.) seedlings to 800 (A8), 600 (A6), and 400 μL(CO2) L-1 (AA) in nine continuous stirred tank reactor (CSTR) chambers during the growing season of 2014. Leaf abscission timing, abscised leaf area percentages, leaf number, light-saturated net photosynthetic rate (PNmax), leaf area, accumulative growth rates, and biomass were determined and assessed. The results suggested the following: (1) no significant differences were found in the timing of leaf abscission in the three CO2-concentration treatments; (2) PNmax was continuously stimulated to the greatest extent in A8 at 319% and 160% in A6 until the end of the growing season, respectively; and (3) leaf number, leaf area, and accumulative height growth all significantly increased by elevated CO2, which led to a 323% increase in A8 biomass and 235% in A6 biomass after 156-d fumigation. In summary, the results suggest, the timing of leaf abscission of sugar maple in fall was not modified by CO2 enrichment, the increased carbon gain by elevated CO2 was mainly due to increased leaf area, more leaves, and the continuously enhanced high photosynthesis throughout the growing season instead of the leaf life span., L. Li, W. J. Manning, X. K. Wang., and Obsahuje bibliografii
Basic methods of the sensitivity analysis applicable in combination with numerical Monte Carlo type simulation methods are presented in the paper. An example of the influence of a plane steel fame initial imperfections on its load-carrying capacity variability is given there. It is shown in this paper that basic sensitivity analysis methods can be inaccurate in some cases. The updated modification of the procedures mentioned is proposed so that it were possible to apply them to the most various structure types solved by means of simulation methods. The influence of initial imperfections on the load-carrying capacity of steel plane frame is analysed by auxiliary sensitivity analysis. The realisations of input random quantities were simulated by the Latin Hypercube Sampling method. The load-carrying capacity was solved by geometrically and materially nonlinear solution. and Obsahuje seznam literatury