Volatiles of different Chaenomeles sinensis cultivars in Shandong Province were investigated by means of HS-SPME coupled to GC/MS,and the fruit aroma of different cultivars was studied. Result showed that the 161 volatiles, belonging to 7 categories, were identified. Esters, alcohols and aldehydes are the major constituents. Ethyl alcohol, 3-methyl-4-oxo-pentanoic acid, acetic acid butyl ester, 2-methyl-butanoic acid ethyl ester, diethyl phthalate, (E,E)-2,4-Decadienal are the main volatiles from the 10 cultivars. Ethyl alcohol and (E,E)-2,4-Decadienal were the primary volatiles. Some unique and high relative content volatiles, playing an important role in the formation of specific aroma of different Chaenomeles sinensis cultivars, were detected from most cultivars. There were significant difference between volatile, relative contents and aromatic categories.

The optimization of the Genomic-SSR reaction system is a basic protocol when the Genomic-SSR is used for genetic analysis in Liriodendron. The concentrations of Mg2+, dNTP, Primer and rTaq were tested by L9(34) orthogonal experiment and single factor gradient experiment to gain the optimal reaction system. The results indicated that the optimal reaction system should contain 75 ng of genomic DNA, 1 μL of 10×buffer, 0.4 μL of 10 mmol·L-1 dNTP, 0.75 μL of 2.5 mmol·L-1 MgCl2, 0.25μL of 10 μmol·L-1 Primer, 0.05 μL of 5 U rTaq and final volume of 10μL. Repeated trials and two verification tests showed that this optimal reaction system was stable, reliable, efficient and suitable for the applications of Genomic-SSR in Liriodendron population genetics and quantitative genetics research.

目的 探讨东北地区混交林地上生物量动态过程驱动因子，以准确理解森林服务和功能。 方法 基于东北金沟岭林场的110块固定样地，描述了1987—2017年的森林动态变化过程。利用分段结构方程模型来评估森林结构、气候、地形和多样性对地上生物量的森林动态过程（生长、进界和死亡）的影响，并进一步探究生物量动态过程对稳定性的作用。 结果 表明，生物量生长量受到林分断面积（β=0.562）、海拔（β=0.853）和年均温（β=0.820）的正向影响，与胸径基尼系数呈负相关（β=-0.274）。生物量进界增长量随海拔（β=0.913）、年均温（β=0.944）的增加而增加，与胸径变异系数呈显著负相关（β=-0.233）。生物量死亡损失量只与林分断面积（β=0.467）呈显著正相关。另外，本研究还发现，死亡是影响森林生物量稳定性的最重要因素。 结论 总体来看，海拔和年均温是林分生物量变化的重要驱动因素，以后要更加关注死亡树木的情况，从而更好地进行森林经营。