论文部分内容阅读
本文根据作者等10多年来对广西杉木林生产力测定数据和与之相匹配的年平均气温、温暖指数、降水量、湿度指数和实际蒸散量等气象数据,用最小二乘法建立了杉木林的气侯生产力模型,给出了全区杉木林气候生产力分布,并与迈阿密和桑斯威特数学模型的计算结果做了比较分析。结果表明,所建的NPPT、NPPWI和NPPV模型符合杉木林生产力的客观规律,具有较高的可靠性,杉木林的气候生产力自北向南递减;而用迈阿密和桑斯威特模型估算的杉木林气候生产力与实测值偏差很大,而且模型的曲线导向和杉木林生产力与环境的相关规律完全相反,因此,这两种模型都不适于估算杉木林的气候生产力。
Based on the meteorological data of productivity data of Cunninghamia lanceolata plantation and its annual average temperature, warm index, precipitation, humidity index and actual evapotranspiration over the past 10 years, the authors established the gas of Cunninghamia lanceolata by the least square method Hou productivity model, the climatic productivity distribution of Cunninghamia lanceolata was given and compared with the results of the mathematical models of Miami and Sandwell. The results show that NPPT, NPPWI and NPPV models conform to the objective laws of productivity of Chinese fir plantations, with high reliability. The productivity of Chinese fir plantations decreases from north to south. However, the Cunninghamia lanceolata The climatic productivity is greatly deviated from the measured value, and the curve-oriented model and the correlation between the productivity and the environment of Cunninghamia lanceolata forest are the opposite. Therefore, neither model is suitable for estimating the climatic productivity of Cunninghamia lanceolata forest.