首页> 外文会议>Global Workshop on Digital Soil Mapping >Spatial prediction of soil organic carbon of Crete by using geostatistics
【24h】

Spatial prediction of soil organic carbon of Crete by using geostatistics

机译:利用地统计学对克里特土壤有机碳的空间预测

获取原文

摘要

Organic carbon amount of the soil is one of the most important geochemical parameters for defining soil characterization and the accuracy of the distribution assessment of soil organic carbon (SOC) is a very important topic. Organic carbon distribution of Crete (Greece) has been predicted by using combination of LUCAS soil samples with local soil data and nine environmental predictors (slope, aspect, elevation, CORINE land-cover classification, parent material, texture, WRB soil classification, average temperature and precipitation) with Regression-Kriging method. Significant correlation between the covariates and the organic carbon dependent variable was found. According to the results, land-cover, elevation, soil type and precipitation were the dominant factors which were controlling SOC variation in Crete. Moreover, organic carbon distribution map of Crete was produced in the digital soil mapping perspective and mentioned final map has been compared with the OCTOP map, which is currently using for organic carbon based studies in Europe.
机译:土壤的有机碳量是用于定义土壤表征的最重要的地球化学参数之一,土壤有机碳(SOC)分布评估的准确性是一个非常重要的话题。克里特岛(希腊)的有机碳分布已经通过利用卢卡斯土样品与局部土壤数据和九个环境预测因子的组合来预测(斜坡,方面,海拔,冠状覆盖分类,母材,质地,WRB土壤分类,平均温度和回归 - 克里格化方法的降水。发现协变量与有机碳依赖变量之间的显着相关性。根据结果​​,陆地覆盖,升高,土壤类型和降水是控制克里特岛体变异的主要因素。此外,克里特岛的有机碳分布图在数字土壤映射视角下生产,并提到了目前在欧洲有机碳研究的章鱼地图的最终地图。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号