点面拓展方法对揭示土壤有机碳变异性的影响  

Effect of Point-plane Expanding Method on Detecting the Variability of Soil Organic Carbon

作　　者：张啸[1] 程瑶[1] 张忠启[1] 于法展[1] 

机构地区：[1]江苏师范大学,江苏徐州221116

出　　处：《土壤通报》2016年第4期846-852,共7页Chinese Journal of Soil Science

基　　金：国家自然科学基金项目(41201213);土壤与农业可持续发展国家重点实验室开放基金项目(0812201231);江苏省高等学校大学生创新创业训练计划重点项目(201410320036Z)资助

摘　　要：以江西省余江县中部地区为例,基于规则网格采样点,利用普通克里格(OK)和3种图斑连接方法(采样点分别与土壤图斑(PSt)、土地利用图斑(PLu)及土壤-土地利用复合图斑连接(PSt Lu))对土壤有机碳(SOC)进行点面拓展,并通过验证样点对比各方法的预测精度。结果表明,土壤类型和土地利用方式对红壤区SOC含量有显著影响,其中土地利用的影响大于土壤类型。OK方法未考虑土壤和土地利用对SOC的影响,空间预测误差最大;PSt和PLu分别考虑了土壤和土地利用类型间的差异,误差较OK分别降低了35.8%和46.0%;而PSt Lu综合考虑了土壤和土地利用的影响,误差较OK降低了48.9%。此外,PSt、PLu和PSt Lu方法得到的SOC分布分别与土壤类型、土地利用方式和土壤-土地利用组合的空间分布一致,均较OK能更好的反映现实情况。Taking the central part of Yujiang County in Jiangxi Province three different polygon-based methods has been used, including linking land use polygon （PLu）, and soil type-land use composite polygon as study area, the ordinary kriging （OK） and SOC data to corresponding soil （PStLu）, to reveal soil organic polygon （PSt）, carbon （SOC） variation, and to compare their prediction uncertainty. The results showed that soil types and land use patterns both had significant influence on SOC content in hilly region of Red Soil, and the influence of land use pattern was greater than that of soil type. The root mean square error （RMSE） of OK was the largest due to not considering the influences of soil type and land use pattern on SOC content, and the RMSEs of PSt and PLu reduced 35.8% and 46.0% than OK respectively. Furthermore, PStLu had the minimal predicted error, which decreased by 48.9% than OK. In addition, the predicted contours of SOC based on PSt, PLu and PStLu approaches were respectively consistent with the spatial distribution of soil types, land use patterns and soil type-land use, which conforms better to the practical situation relative to OK in hilly region of Red Soil, China.

关 键 词：土壤有机碳 点面拓展方法 空间预测 南方红壤丘陵区 

分 类 号：S153.6[农业科学—土壤学]