Climate Change Data Portal
DOI | 10.1002/saj2.20644 |
Prediction, mapping, and implication for better soil organic carbon management in Ethiopia | |
Tiruneh, Gizachew Ayalew; Hanjagi, Ashok; Mumtaz, Muhammad; Reichert, Jose Miguel | |
发表日期 | 2024 |
ISSN | 0361-5995 |
EISSN | 1435-0661 |
起始页码 | 88 |
结束页码 | 3 |
卷号 | 88期号:3 |
英文摘要 | A precise soil organic carbon (SOC) content estimate is crucial soil quality parameter for agricultural produce and ecological safety. Moreover, geospatial modeling of SOC is critical when there are limited laboratory equipment and chemical reagents for soil analysis. This study used geostatistics-ordinary kriging (OK) and inverse distance weighting (IDW)-to map SOC in Libokemkem area, Northwest Ethiopia, for improved SOC management. About 107 soil samples were obtained from the plow layer at a 20-cm depth and SOC was determined. Statistical Package for Social Sciences version 24.0 was used to generate descriptive statistics, and geostatistical analysis was also performed on the data using ArcGIS platform. The coefficient of determination (R-2) and root mean square error (RMSE) derived from the validation of the predicted maps were used to assess the models. The results revealed homogeneity (coefficient of variation < 10%), low (0.12%-1.74%), and optimal (1.74%-4.06%) mean levels of SOC in study area. The OK showed an R2 of 0.74 and an RMSE of 13%, and the IDW revealed an R-2 of 0.69 and an RMSE of 14%. The semivariogram results indicate a moderate dependence for SOC with stable, circular, spherical, exponential, and Gaussian models. We conclude that the sustainable monitoring of SOC is significant in enhancing soil quality. However, further study considering all drivers of spatial variability for SOC in the study and other soil sampling approaches improving performance of the prediction models is needed. |
语种 | 英语 |
WOS研究方向 | Agriculture |
WOS类目 | Soil Science |
WOS记录号 | WOS:001188635200001 |
来源期刊 | SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/298272 |
作者单位 | Bangalore University; Universidade Federal de Pernambuco |
推荐引用方式 GB/T 7714 | Tiruneh, Gizachew Ayalew,Hanjagi, Ashok,Mumtaz, Muhammad,et al. Prediction, mapping, and implication for better soil organic carbon management in Ethiopia[J],2024,88(3). |
APA | Tiruneh, Gizachew Ayalew,Hanjagi, Ashok,Mumtaz, Muhammad,&Reichert, Jose Miguel.(2024).Prediction, mapping, and implication for better soil organic carbon management in Ethiopia.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,88(3). |
MLA | Tiruneh, Gizachew Ayalew,et al."Prediction, mapping, and implication for better soil organic carbon management in Ethiopia".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 88.3(2024). |
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