森林生态功能空间格局研究——以江西省贵溪市为例

Study on spatial pattern of forest ecological function:A case study in Guixi city,Jiangxi province

通过构建江西省贵溪市小班尺度的森林生态功能BP神经网络模型,分析研究区小班尺度的森林生态功能的空间格局;构建区域尺度的森林生态功能模型,分析研究区整体森林生态功能状况;构建森林生态功能空间均衡度指数模型,分析研究区森林生态功能的均衡分布状况。结果表明,BP神经网络结构为“8-5-1”,网络性能能够满足研究要求;研究区有林地小班的森林生态功能分为“好”“中”“差”3个等级,分别占有林地小班总面积的3.6%、88.4%、8.0%;区域尺度森林生态功能得分为0.6097,整体森林生态功能等级为“差”;森林生态功能空间均衡度指数为0.8638,森林生态功能在空间分布上较为均衡。研究区小班尺度森林生态功能等级为“中”占比较大,国家公益林保护成效显著,森林生态功能在空间分布上较为均衡,但整体森林生态功能较差。

BP Neural Network Model of forest ecological function in sublot scale was built to analyze the spatial pattern of forest ecological function,a Forest Ecological Function Model in regional scale was built to analyze the overall forest ecological function of the study area and a spatial equilibrium index model of forest ecological function was built to analyze the equilibrium distribution of forest ecological function in the study area.The results show that the BP neural network structure was“8-5-1”,and the network performance could meet the research requirements.The forest ecological function of the study area was divided into three grades of good,medium and poor,which respectively occupied 3.6%,88.4%and 8.0%of the total forest land area.The score of forest ecological function in the regional scale was 0.6097,and the grade of overall forest ecological function in study area was poor.The spatial equilibrium index of forest ecological function in the study area was 0.8638,and the spatial distribution of forest ecological function was relatively balanced.The sublots with middle grade forest ecological function accounted for a large portion in study area,which explaining that the protection of national ecological forest had achieved remarkable results.Forest ecological functions were more spatially distributed,but overall forest ecological functions are poor.