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001-es BibID:	BIBFORM109529
035-os BibID:	(cikkazonosító)48 (Scopus)85150945215 (WoS)000958860700001
Első szerző:	Fekete István
Cím:	Qualitative and Quantitative Changes in Soil Organic Compounds in Central European Oak Forests with Different Annual Average Precipitation / István Fekete, Ornella Francioso, Myrna J. Simpson, Paola Gioacchini, Daniela Montecchio, Imre Berki, Norbert Móricz, Katalin Juhos, Áron Béni, Zsolt Kotroczó
Dátum:	2023
ISSN:	2076-3298
Megjegyzések:	The various climate scenarios consistently predict warming and drying of forests in Hungary. Soils play a significant role in the long-term sequestration of atmospheric CO2, while in other cases they can also become net carbon emitters. Therefore, it is important to know what can be expected regarding future changes in the carbon storage capacity of soils in forests. We used precipitation gradient studies to solve this problem, using a type of "space?time" substitution. In this research, we primarily examined the quality parameters of soil organic matter (SOM) to investigate how climate change transforms the ratio of the main SOM compound groups in soils. For our studies, we applied elemental and 13C and 15N isotopic ratio analysis, NMR analysis, FT-IR spectra analysis, thermogravimetric and differential thermal analyses to measure SOM chemistry in samples from different oak forests with contrasting mean annual precipitation from Central Europe. Our results showed that soil organic carbon (SOC) was lower in soils of humid forests due to the enhanced decomposition processes and the leaching of Ca, which stabilizes SOM; however, in particular, the amount of easily degradable SOM compounds (e.g., thermolabile SOM, O-alkyl carbon, carboxylic and carbonyl carbon) decreased. In dry forest soils, the amount of recalcitrant SOM (e.g., thermostable SOM, alkyl carbon, aromatic and phenolic carbon and organo?mineral complexes stabilized by Ca increased, but the amount of easily degradable SOM increased further. The main conclusion of our study is that SOC can increase in forests that become drier, compensating somewhat for the decrease in forest plant biomass.
Tárgyszavak:	Természettudományok Kémiai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk soil biology decomposition forest soil NMR FT-IR carbon climate change
Megjelenés:	Environments. - 10 : 3 (2023), p. 1-17. -
További szerzők:	Francioso, Ornella Simpson, Myrna J. Gioacchini, Paola Montecchio, Daniela Berki Imre Móricz Norbert Juhos Katalin Béni Áron (1978-) (vegyész) Kotroczó Zsolt (1975-) (biológus, ökológus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM107439
035-os BibID:	(cikkazonosító)104947 (WoS)000963237400001 (Scopus)85146558007
Első szerző:	Mirzaei, Morad
Cím:	Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches / Morad Mirzaei, Manouchehr Gorji Anari , Eugenio Diaz-Pines, Nermina Saronjic, Safwan Mohammed, Szilard Szabo, Seyed Mohammad Nasir Mousavi, Andres Caballero Calvo
Dátum:	2023
ISSN:	0140-1963
Megjegyzések:	Agricultural lands are sources and sinks of greenhouse gases (GHGs). The identification of the main drivers affecting GHGs is crucial for planning sustainable agronomic practices and mitigating global warming potential. The main aim of this research was to evaluate the impact of environmental drivers (soil temperature and water-filled pore space, WFPS) and crop residue rates on CO2, NO, and NOx fluxes under conventional tillage (CT) and no-tillage (NT) systems. The accuracy of Random Forest Regression (RFR), Multiple Adaptive Regression Splines (MARS), and General Linear Models (GLM) in predicting CO2, NO, and NOx fluxes were also assessed. In both CT and NT systems, CO2, NO, and NOx fluxes decreased with increasing WFPS. Increasing temperature resulted in higher CO2 emissions and lower NO and NOx emissions. Higher residue rates resulted in significant increases in CO2 emission, whereas the NO and NOx emissions increased by decreasing the ratio of residue. For CO2 prediction, the RFR provided the largest R2 with the observed data. For NO-N and NOx-N prediction, RFR was the most efficient algorithm, but NO?N can be predicted with better accuracy. The output of this research highlights the importance of agronomic practices for climate mitigation, along with the possibility of using RFR to predict GHGs fluxes.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Agroecosystems Classical regression Climate change NOx Machine learning Iran
Megjelenés:	Journal Of Arid Environments. - 211 (2023), p. 1-9. -
További szerzők:	Anari, Manouchehr Gorji Diaz-Pines, Eugenio Saronjic, Nermina Mohammed Safwan (1985-) (agrármérnök) Szabó Szilárd (1974-) (geográfus) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Caballero-Calvo, Andrés
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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