基于GIS的人工杉木分布式生长模型及其验证方法研究
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摘要
树木生长状态,一方面受树木本身遗传因素的影响,另一方面受外界环境条件的影响。正确分析和研究各种立地因子对树木蓄积量的影响规律,建立分布式的蓄积量模型将对指导森林选地造林、经营工作具有重要意义。本研究以建立基于GIS的人工杉木林分布式模型为目标,先通过历史实测数据建立蓄积量随林龄增长的生长初始模型,然后从影响林木生长的立地条件(包括坡向、海拔、坡长、坡度、坡位、土壤条件、坡形、太阳辐射量)的角度,并根据杉木的生物特性来确定这几种立地因子对杉木生长的影响程度,并建立统一的杉木生长适宜性等级系统,得到立地综合因子,用它来修正蓄积量求算初始模型,使得杉木的蓄积量随着生长环境的差异而不同,这也正好符合了精准林业的发展要求。最后基于遥感影像提取植被指数,并结合实测数据对模型进行了检测和精度评价。该模型的建立将为林场的选地造林,预测杉木生长情况和掌握林木生长与空间结构信息,进行经营决策等工作提供支持,最终帮助实现森林的健康和可持续经营。
The situation of tree growth is affected by genetic factors of itself, and the environmental conditions around it on the other hand. The correct analysis and research on the influencing rules of all kinds of the site factors, and the building of distributed growth model on Chinese fir will guide us to choose the suited land to plant trees, and make our forest management more efficiently. In this research, building the distributed model of Chinese fir based on GIS is the goal. First of all, obtain the primary volume model between the stand age and the volume by the measured data. And then, analyse the influence level of the stand's site conditions, including the slope, elevation, the slope length, the slope position, soil condition, and slope_shape, solar radiation, combining the biological characteristics of Chinese fir, to establish the system of their own influence on the growth. Finally, get the comprehensive factor, with which the primary volume model could be rectified by the stand's site. So under the new model, the growth of Chinese fir volume will differ with different environment. It is also meet the requirement of the development of precision forestry. At last, extract vegetation index through the remote sensing image, and use the field_measured data to test the model and carry out the precision evaluation. The establishing of the volume model will benifit the foresters to afforest, know the forest growth and spatial structure information well, and also provide a good decision-making support, finally help realize the healthy and sustainable management of forest.
The situation of tree growth is affected by genetic factors of itself, and the environmental conditions around it on the other hand. The correct analysis and research on the influencing rules of all kinds of the site factors, and the building of distributed growth model on Chinese fir will guide us to choose the suited land to plant trees, and make our forest management more efficiently. In this research, building the distributed model of Chinese fir based on GIS is the goal. First of all, obtain the primary volume model between the stand age and the volume by the measured data. And then, analyse the influence level of the stand's site conditions, including the slope, elevation, the slope length, the slope position, soil condition, and slope_shape, solar radiation, combining the biological characteristics of Chinese fir, to establish the system of their own influence on the growth. Finally, get the comprehensive factor, with which the primary volume model could be rectified by the stand's site. So under the new model, the growth of Chinese fir volume will differ with different environment. It is also meet the requirement of the development of precision forestry. At last, extract vegetation index through the remote sensing image, and use the field_measured data to test the model and carry out the precision evaluation. The establishing of the volume model will benifit the foresters to afforest, know the forest growth and spatial structure information well, and also provide a good decision-making support, finally help realize the healthy and sustainable management of forest.
引文
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