关键词: 华山松人工林, 西南, 物种组成, 群落特征, 演替, 中国生态系统网络

Abstract: Montane coniferous plantations in southwest China, as a crucial ecological barrier of the upper reaches of the Yangtze River, have multiple ecological service functions, including soil and water conservation and maintenance of biodiversity. These plantations play key roles in maintaining regional ecological security and promoting sustainable development in western China. Plant species composition and community characteristics are vital indicators for studying the structure and functioning of forest ecosystems. They hold utmost significance for monitoring and assessing the dynamics of community structure succession, biodiversity, ecosystem health and sustainability. Following the monitoring specifications for terrestrial ecosystem biological elements, we have conducted three census surveys in a 50 m×50 m permanent plot of montane coniferous plantation in 2005, 2007 and 2010 in Maoxian Mountain Ecosystem Observation and Research Station of Chinese Academy of Sciences. The dataset provided detailed information on plant species composition and community characteristics of tree layer, bush layer, herb layer and interlayer vines. Indexes of plant species composition was species names, Latin names, individual number, average diameter at breast height, average height, coverage and life form. Community characteristics included dominant species, density, average height of dominant species and coverage. Species number (mainly native plants) increased with community succession. However, density in tree and bush layers decreased, which was caused by the high mortal rate of planted trees of bushes by the lack of sunlight under the forest, and native saplings entering into tree layer. The dataset would provide data support for the studies and practices of vegetation restoration, community succession and sustainable management of montane coniferous plantations in southwest China.

Key words: Pinus armandi plantation, southwest China, plant species composition, community characteristics, succession, China Ecosystem Research Network (CERN)