中文摘要：

以哀牢山中山湿性常绿阔叶林生态系统的优势附生苔藓——树平藓（Homaliodendron flabellatum）为研究对象,以非直角双曲线模型、指数方程和直角双曲线修正模型为基础,分别推导出包含CO2摩尔分数和温度因子的3个光合作用综合模型,研究了树平藓的光合特性及其与生态因子的关系,对3个综合模型的预测能力进行了检验。结果表明：直角双曲线修正模型对树平藓的预测效果优于其他2个模型,而且该模型能更好地反映附生苔藓植物的光抑制特征及对林下荫蔽生境的适应性。

英文摘要：

Based on the most popular photosynthetic light-response models of non-rectangular hyperbola model, exponential mod- el and modified rectangular hyperbola model, we deduced three comprehensive photosynthesis models including CO2 con- centration and temperature. We studied the photosynthetic characteristics of a dominant epiphytie bryophyte （Homalioden- dron flabellatum （Sm.） Fleisch. ） in the primary montane moist evergreen broad-leaved forest. The predictive abilities of three comprehensive photosynthesis models were compared based on two independent experimental datasets. The modified rectangular hyperbola model fitted the photosynthetic light-response curve better when photoinhibition and low irradiance were in the understory.