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Employment of GIS techniques to assess the long-term impact of tillage on the soil organic carbon of agricultural fields under hyper-arid conditions

机译:利用GIS技术评估高干旱条件下耕作对农田土壤有机碳的长期影响

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摘要

A study on six 50 ha agricultural fields was conducted to investigate the effect of conservation tillage practices on the long-term (1990–2016) changes in the soil organic carbon (SOC) content of the topsoil layers (0–10 cm) of agricultural fields. The experimental fields were selected from the 49 fields of the Tawdeehiya Arable Farm (TAF), located 200 kilometers southeast of Riyadh, the capital city of the Kingdom of Saudi Arabia. Data sets from laboratory determined SOC and the corresponding Landsat images generated vegetation indices, namely, the Normalized Difference Vegetation Index (NDVI) and the Bare Soil Index (BSI), were utilized for the prediction of SOC using multivariate regression techniques. Long-term changes in the SOC content of the experimental fields, as a result of different tillage practices, were also studied. The developed SOC prediction models exhibited high accuracy indicated by R2 values ranging from 0.73 to 0.85, RMSE values of 0.34 to 0.85 g kg-1 and P-values of less than 0.0001. The cross-validation results (R2 of 0.61–0.70, RMSE value of 0.34–0.85 g kg-1 and P-values of less than 0.0001) confirmed the high accuracy of the developed SOC prediction models. Results also revealed that the change in the SOC content was clearly associated with soil tillage practices. On the average, 76% of the all agricultural fields in the experimental farm showed a decrease of up to 24 g kg-1 in their SOC content after 10 years (1990–2000) of continuous conventional tillage practices. On the other hand, an average increase of up to 37 g kg-1 in the SOC content was observed in 88% of the studied fields at the end of the study period (2016), where conservation tillage was a continous and consistent practice in the experimental farm.
机译:进行了对六个50公顷农田的研究,以调查保护性耕作方式对农业表层土壤(0-10 cm)中土壤有机碳(SOC)含量的长期变化(1990-2016)的影响。领域。实验田地选自沙特阿拉伯王国首都利雅得东南200公里的Tawdeehiya耕地农场(TAF)的49个田地。实验室确定的SOC数据集和相应的Landsat图像生成的植被指数,即归一化植被指数(NDVI)和裸土指数(BSI),用于通过多元回归技术预测SOC。还研究了不同耕作方式导致的实验场中SOC含量的长期变化。已开发的SOC预测模型显示出较高的准确性,R 2 值介于0.73至0.85之间,RMSE值介于0.34至0.85 g kg -1 之间,P值小于0.0001。交叉验证的结果(R 2 为0.61-0.70,RMSE值为0.34-0.85 g kg -1 ,P值小于0.0001)证实了高精度开发的SOC预测模型。结果还表明,SOC含量的变化与土壤耕作方式明显相关。在连续常规耕作十年(1990年至2000年)后,实验农场中平均76%的农田的SOC含量降低了24 g kg -1 。另一方面,研究期末(2016年),在88%的研究田地中,SOC含量平均增加了37 g kg -1 。在实验农场中是连续不断的实践。

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