Spatial mapping of soil respiration using auxiliary variables. A small scale study
نویسندگان
چکیده
Soil respiration is a significant contributor to the global emissions of CO2 and governed by many soil factors. Reliable estimates emission on different scales (e.g., field, regional level) are hard obtain due expressed spatial temporal variability flux. This study aims investigate flux properties in soybean cropland Fluvisols (Croatia). The field measurements samples were taken regular sampling grid (2 × 2 m) with 44 points total was assessed using kriging cokriging techniques. showed relatively high heterogeneity, ranging from 0.03 mg/m2s 0.40 mg/m2s. organic matter content (SOM), water (SWC), temperature (ST) had lower 2.09% 2.52%, 27.7% 46.8%, 13.7 °C 18.2 °C, respectively. dependence for ST, moderate SOM, low SWC. incorporation auxiliary variables increased precision estimations flux, Kriging most accurate method prediction ST. SWC associated as important factor fluxes, indicated their negative correlation, highest increase during modeling. However, more robust co-variates should be incorporated future models further precision.
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ژورنال
عنوان ژورنال: Journal of Central European Agriculture
سال: 2021
ISSN: ['1332-9049']
DOI: https://doi.org/10.5513/jcea01/22.3.3227