Spatial distribution of soil organic carbon and total nitrogen stocks in a karst polje located in Bosnia and Herzegovina

被引:13
作者
Bogunovic, Igor [1 ]
Pereira, Paulo [2 ]
Coric, Radica [3 ]
Husnjak, Stjepan [4 ]
Brevik, Eric C. [5 ]
机构
[1] Univ Zagreb, Fac Agr, Dept Gen Agron, Zagreb, Croatia
[2] Mykolas Romeris Univ, Environm Management Lab, Ateities G 20, LT-08303 Vilnius, Lithuania
[3] Univ Mostar, Fac Agron & Food Technol, Mostar, Bosnia & Herceg
[4] Univ Zagreb, Fac Agr, Dept Soil Sci, Zagreb, Croatia
[5] Dickinson State Univ, Dept Agr & Tech Studies, Dickinson, ND USA
关键词
Soil carbon; Total nitrogen; Soil mapping; Co-variates; Geostatistics; GEOGRAPHICALLY WEIGHTED REGRESSION; LOESS PLATEAU REGION; BASE-LINE MAP; CHEMICAL-PROPERTIES; ECOSYSTEM SERVICES; BLACK SOIL; LAND-USE; MATTER; VARIABILITY; IMPACT;
D O I
10.1007/s12665-018-7801-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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).
引用
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页数:13
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