DEM model space analysis on regional biomass based on ARCGIS | 基于ARCGIS的区域生物量DEM模型空间分析_

Chino. 在ESRI ARCGIS 9.3 软件支持下，采用地统计分析方法选取了地形、海拔、坡度、坡向和土壤K值等生态因子，对三坝乡黄背栎群落的生物量进行了空间协同克里金插值分析，并引入辅助因子和生物量协同作用关系，对10个样点外20个随机产生的预测点生物量进行了空间估算。结果表明，在不同辅助因子协同作用下，其预测效果存在明显差异，反映出区域内多种生态因子及其综合作用对森林群落生物量的影响；利用这些因子的背景数据和辅助变量，借助于空间插值方法，能显著提高估算和预测精度，减轻野外调查强度和提高调查效率。该方法在植物群落生物量、农作物产量估算和预测等方面具有较好的应用前景。_

Inglés. Supported by ESRI ARCGIS 9.3 software, some ecological factors including terrain, elevation, slope, aspect, soil K values and so on were selected by Geostatistical analysis to conduct a Kringing spacial interpolation analysis on the quercus forest biomass, the supplementary factors and biomass synergy were introduced to conduct space estimation of the biomass in 20 randomly selected projections points outside of 10 sample sites. Results indicate that, under the synergistic action of different cofactors, the prediction results had significant difference, which reflected the influence of various ecological factors and their synergistic action on the biomass of forest communities; a proper use of the background data of these factors and the auxiliary variables as well as the spatial interpolation could significantly improve the estimation and predication accuracy, lessen the intensity of field investigation and improve the investigation efficiency, so it had good application prospect in estimating and predicting the biomass of population communities and agricultural crop yields._