关键词: 岭南槭, 色彩量化, 最佳观赏期, 影响因子

Abstract: Acer tutcheri isdistributed in the hilly region of the Pan Pearl River Delta which has colorful leaves in spring, autumn, and winter, and it can be widely used in urban greening of Lingnan Area. In the natural communities of A.tutcheri Guangdong Nanling National Nature Reserve, Heishiding Nature Reserve, and Shenzhen Dapeng Peninsula National Geopark Qiniangshan, we observed the phenology of color leaf, quantify the color value of annual cycle, comparative the best viewing period, and explorer the key factors of leaves color change. The results showed that:(1)There was significant different leaf color in three regions.The best viewing period of Nanling was November, those of Heishiding and Qiniangshan were from early November to early December and from later November to later December, respectively. The best viewing time in Nanling is November, and those of Heishiding and Qiniangshan are from early November to early December, and December, respectively; (2)There were significantly different leaf color characteristics, soil physical and chemical properties among these areas(P<0.05); (3)There was significantly positive correlation between the period of red leaves beginning and longitude, soil available K content. The maximum color difference values was positively correlated with the available K content. The best viewing period was significantly negatively correlated with elevation and effective Cu. The maximum color difference value of best viewing period was significantly negatively correlated with latitude. The duration of red leaves was negatively correlated with total K, and it showed a significant negative correlation with available P and Cu content. (4)The best ornamental period of red leaves delayed gradually from north to south. Lower altitude, longitude, latitude, soil total K, valid P, valid Cu content and higher available K content are benefit to express the red leaves of A.tutcheri.

Key words: Acer tutcheri Duthie, color quantization, optimum viewing period, influence factor