Pregled bibliografske jedinice broj: 1142638
Spatial mapping of soil respiration using auxiliary variables. A small scale study
Spatial mapping of soil respiration using auxiliary variables. A small scale study // Journal of Central European agriculture, 22 (2021), 3; 657-668 doi:10.5513/jcea01/22.3.3227 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1142638 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Spatial mapping of soil respiration using auxiliary
variables. A small scale study
Autori
Tóth, Eszter ; Kisić, Ivica ; Galić, Marija ; Telak, Leon ; Brezinscak, Luka ; Dugan, Ivan ; Dencső, Márton ; Gelybó, Györgyi ; Bakacsi, Zsófia ; Horel, Ágota ; Bogunović, Igor
Izvornik
Journal of Central European agriculture (1332-9049) 22
(2021), 3;
657-668
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
soil properties ; CO2 emission ; spatial variability ; GIS
Sažetak
Soil respiration is a significant contributor to the global emissions of CO2 and is governed by many soil factors. Reliable estimates of CO2 emission on different scales (e.g., field, regional level) are hard to obtain due to the expressed spatial and temporal variability of the CO2 flux. This study aims to investigate the spatial variability of CO2 flux and soil properties in soybean cropland on Fluvisols (Croatia). The field measurements and soil samples were taken in a regular sampling grid (2 × 2 m) with 44 points in total and the spatial variability was assessed using the kriging and cokriging techniques. The soil CO2 flux showed relatively high spatial heterogeneity, ranging from 0.03 mg/m2s to 0.40 mg/m2s. The soil organic matter content (SOM), soil water content (SWC), and soil temperature (ST) had the lower variability ranging from 2.09% to 2.52%, from 27.7% to 46.8%, and from 13.7 °C to 18.2 °C, respectively. The spatial dependence was high for CO2 flux and ST, moderate for SOM, and low for SWC. The incorporation of the auxiliary variables increased the precision of the estimations for CO2 flux, SOM, and SWC. Kriging was the most accurate method for the spatial prediction of ST. The SWC was associated as the most important factor of the CO2 fluxes, indicated by their significant negative correlation, and the highest increase of the prediction precision during spatial modeling. However, more robust co- variates should be incorporated in future models to further increase the precision.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Projekti:
MZO-HR_HUN_ 2018_07 - Utjecaj upravljanja tlom na emisiju ugljičnog dioksida iz tla na različitim hrvatskim i mađarskim poljoprivrednim zemljištima (Bogunović, Igor, MZO ) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Igor Bogunović
(autor)
Luka Brezinščak
(autor)
Leon Josip Telak
(autor)
Ivan Dugan
(autor)
Marija Galić
(autor)
Ivica Kisić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus