摘要
种子风传播过程是植被地理分布及其对环境变化响应的关键.植物种子风传播核是种子风传播能力的重要特征.建立种子传播核模型对准确预测植被地理分布十分关键.基于风速的对数正态分布和维布尔分布模式,推导出了植物种子风传播核的两种概率模型,并指出了计算步骤.同时,以6种蒲公英为例,分析了不同植物在不同地点和不同月份种子风传播核特征.算例表明,不同植物、不同地点和不同时间种子风传播核的差异,并且种子风传播强度在风速为对数正态分布下比维布尔分布下要高,传播核强度较高最大传播距离在维布尔分布下比对数正态分布下要远.种子风传播模型研究未来需要考虑近地面层空气动力学参数和风速分布其它模式.
The seed dispersal by wind is the key process to the geographical distribution of vegetation and its response to environmental changes. The seed dispersal kernel by wind is an important feature of seed dispersal by wind. The establishment of seed dispersal kernel model is very important to accurately predict the geographical distribution of vegetation.Based on the Logarithmic normal distribution of wind speed and the Weibull distribution of wind speed, two probability models of dispersal kernel by wind of plant seed are derived and the calculation steps are pointed out. In addition, six dandelions species were used to analyze the characteristics of the kernel of seed dispersal by wind at different sites and months. The results show that the dispersal kernel by wind is different for different plant species, at different locations and at different times, and the intensity of seed dispersal kernel by wind under Weibull distribution of wind speed is lower than which under the Logarithmic normal distribution of wind speed, and the maximum dispersal distance of seed under the Weibull distribution of wind speed is far than which under the Logarithmic normal distribution of wind speed. The study of seed dispersal by wind needs to consider the near-surface layer aerodynamic parameters and other patterns of wind speed distribution in future.
出处
《数学的实践与认识》
北大核心
2017年第17期164-176,共13页
Mathematics in Practice and Theory
基金
国家自然科学基金(41173085)
"十二五"国家科技支撑课题(2012BAC19B06)
关键词
种子
风传播
传播核
概率模型
蒲公英
seed
dispersal by wind
dispersal kernel
probability model
dandelion
