作　　者： ;

机构地区： 中山大学环境科学与工程学院环境科学系

出　　处： 《生态科学》 2000年第4期11-15,共5页

摘　　要： 讨论植被类型、降雨、湿度、土壤条件对华南南亚热带植被第一性生产量的影响。比较各种预测第一性生产量的气候模型 ,为更好地预测和提高华南南亚热带植被第一性生产量提供依据。 Net primary production (NPP) is dependent firstly on vegetation itself. There is a great difference of productivity due to the difference of biological characteristics of dominant species in communities and management methods. In addition to the vegetation itself, external factors such as climate and soil also influence NPP. The pattern of monthly production of dry matter is positively related to monthly rainfall. However, there is not a linear relationship\$(P>0.05) \$between temperature and NPP. The models of Rosenzweig (1968), Lieth and Box (1972), Lieth (1973) and Uchijima and Seino (1985) are studied. The values estimated by Rosenzweig models (1968) are much higher than those of other models, for which the difference between maximum and minimum are less than 20% of their mean. The lowest value occurs in the “Chikugo” model of Uchijima and Seina (1985). The highest value occurs in Lieth (1973)'s “Miami” model estimated from temperature data. Although the estimates of NPP by “Chikugo” model have been verified using published NPP data obtained by IBP harvesting studies, it have a underestimate of NPP because NPP in IBP studies is a underestimate value. Therefore, “Chikugo” model should be revised according to new NPP data. At moment, the “Miami” model seems to give better predictions of NPP than those estimated by the “Chikugo” model.

关 键 词： 植被 第一性生产量 预测模型 华南南亚热带

领　　域： [生物学]