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首页> 外文期刊>Environmental earth sciences >Spatial distribution of soil organic carbon and total nitrogen stocks in a karst polje located in Bosnia and Herzegovina
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Spatial distribution of soil organic carbon and total nitrogen stocks in a karst polje located in Bosnia and Herzegovina

机译:波斯尼亚和黑塞哥维那喀斯特polje土壤有机碳和总氮储量的空间分布

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摘要

Karst poljes in the Dinaric Mountains have a complex hydrological regime and high potential for crop production. Little information is available about soil organic carbon (SOC), total nitrogen (TN), carbon stocks (SOCS), and nitrogen stocks (TNS) in karst poljes located in the Dinaric area. The objective of this paper was to study the spatial distribution of SOC and TN in topsoil (ranged from 9 to 53cm depth) and whole profile SOCS and TNS (ranged from 15 to 160cm depth) in the Livno karst polje depression (Bosnia and Herzegovina) using kriging and co-kriging approaches. We used the following properties as co-variates: distance from hills (DFH), distance from the lake (DFL), sand, silt, and clay content, TN, SOC, SOCS, and TNS. We only used the properties that had a significant correlation with the estimated properties as co-variates. The results showed that soils in the study area had high average SOC (7.92%), TN (0.79%), SOCS (191.05tha(-1)), and TNS (17.91tha(-1)) values. Histosols had the highest SOCS and TNS and Arenosols the lowest. The experimental variogram of LogSOC and LogTN was best-fitted by the spherical model, while the exponential model was the most accurate for LogSOCS and LogTNS. The spatial dependence was moderate for all studied soil properties. The incorporation of auxiliary variables increased the precision of the estimations from 35.7% (SOCxTN) to 49.2% (TNSxSOCS).
机译:迪纳里克山的喀斯特poljes水文情势复杂,具有很高的作物生产潜力。关于迪纳里克地区喀斯特poljes中的土壤有机碳(SOC),总氮(TN),碳储量(SOCS)和氮储量(TNS)的信息很少。本文的目的是研究Livno喀斯特polje凹陷(波斯尼亚和黑塞哥维那)表层土壤(9至53cm深度)中的SOC和TN的空间分布,以及15至160cm深度范围内的SOCS和TNS的整体剖面使用克里金法和共同克里金法。我们将以下属性用作协变量:与丘陵的距离(DFH),与湖泊的距离(DFL),沙子,淤泥和粘土含量,TN,SOC,SOCS和TNS。我们仅将与估计的属性具有显着相关性的属性用作协变量。结果表明,研究区的土壤具有较高的平均SOC(7.92%),TN(0.79%),SOCS(191.05tha(-1))和TNS(17.91tha(-1))值。组织溶胶的SOCS和TNS最高,而槟榔的最低。 LogSOC和LogTNS的实验变异图最适合球形模型,而指数模型最适合LogSOCS和LogTNS。所有研究的土壤性质的空间依赖性是中等的。辅助变量的合并使估算的精度从35.7%(SOCxTN)增至49.2%(TNSxSOCS)。

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