湖北省森林资源单位面积蓄积量区域差异性分布分析—基于森林资源抽样调查方法

Analysis of Regional Difference Distribution of Forest Resource Stock Per Unit Area in Hubei Province—Based on Sampling Survey Method of Forest Resources

摘要:

为摸清湖北省森林资源质量状况和区域之间森林单位面积蓄积量差异性,促进区域之间森林质量提高、为制定 森林管理提供参考 。运用森林资源抽样调查方法,以湖北省林草生态综合监测乔木林地范围为抽样总体,地面调查抽样点 测定单位面积蓄积量,借助数理统计方法中的数据检验、集中趋势、离散趋势、聚类分析和空间统计空间 自相关,揭示当前 时期研究区蓄积量分布特征 。结果表明:（1)样本数据检验无显著性差异区域表现为森林经营发展水平具有平衡一致性、 与 自然环境相对一致性 。（2)单位面积蓄积量的集中趋势和离散趋势为平均值>中位值,趋势分布在区 间 中位值 ～均值, 箱形图显示了县区均值之间的比较与置信区间 。（3)抽样点在一定尺度距离呈现全局空间正相关,呈聚集性分布,单位面 积蓄积量集中趋势向均值与中位值靠拢 。（4)聚类分析划分了乔木林蓄积量分布结构相似性或同类型区域 。 湖北各区域 单位面积蓄积量存在较大的差异,数据的集中趋势值较低,体现出森林质量短板,林地生产力有很大的空间,森林质量空间 潜能需提升发挥,需充分考虑资源质量 自然区域分布差异特征,加强森林经营措施。

Abstract:

In order to find out the quality of forest resources and the difference of forest stock per unit area between re- gions in Hubei Province, promote the improvement of forest quality between regions , and provide reference for forest management. The forest resources sampling survey method was applied, taking the forest and grass ecological comprehen- sive monitoring of forest and forest land in Hubei Province as the sampling population, and the sampling points of ground survey were used to measure the unit area stock. The distribution characteristics of stock in the study area were revealed by means of data inspection, central trend, discrete trend, cluster analysis and spatial statistical spatial autocorrelation in the mathematical statistics method. The results showed as follows:（1)The regions with no significant difference in sample data test showed that the development level of forest management was balanced and consistent with the natural environ- ment.（2)The central and discrete trends of stock volume per unit area are the mean > the median, and the trend distri- bution ranges from the median value to the mean value . The box chart shows the comparison and confidence interval be- tween the mean values of counties and regions .（3)The sampling points present a global spatial positive correlation at a certain scale distance, showing an aggregate distribution, and the central trend of accumulation per unit area is close to the mean and median .（4) Cluster analysis divided the structural similarity or the same type of forest stock distribution . There are large differences in the stock volume per unit area of various regions in Hubei Province, and the central trend value of the data is low●which reflects the shortcomings of forest quality● large space for forest productivity●and the spatial poten- tial of forest quality should be improved and exerted ●and the differences in natural regional distribution of resource quality should be fully considered to strengthen forest management measures.