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基于全国３８０块样地资料，从宏观上阐明了油松林生物生产力的分布格局，建立了联系叶面积指数分布规律和地植物学知识的生产力水热相关模型与地理分布模型．在油松正常分布范围内（年均气温２～１４℃，年降水量４００／３００～７００／９００ｍｍ），林分叶面积指数随年均气温的变化呈指数递减的函数关系，这是油松林适应水分协迫环境的一种机制．
Based on the data of 380 plots in China, the distribution pattern of bio-productivity in Pinus tabulaeformis forests was elucidated macroscopically and the productivity-heat-water-related and geography distribution models were established based on the leaf area index distribution and the botany knowledge. In the normal range of Pinus tabulaeformis (with an average annual temperature of 2 ~ 14 ℃ and an annual rainfall of 400/300 ~ 700 / 900mm), the leaf area index of the forest is exponentially decreasing as the annual mean temperature changes. A mechanism to adapt to the environment of water.