CO2 emission and its relation to soil temperature, moisture, and O2 absorption in the reforested areas of Cerrado biome, Central Brazil

Vicentini, Maria Elisa; Pinotti, Carla Regina; Hirai, Welinton Yoshio; Moraes, Mário Luiz Teixeira de; Montanari, Rafael; Filho, Marcelo Carvalho Minhoto Teixeira; Milori, Débora Marcondes Bastos Pereira; Júnior, Newton La Scala; Panosso, Alan Rodrigo

doi:10.1007/s11104-019-04262-z

“…In this research, the recorded average overall soil temperature was 31.10 5-7). According to several authors, the relationship between soil temperature and CO 2 emissions is very complex [67,68]. Therefore, the results obtained in the context of weak correlation may possibly be attributed to different temperature optima appropriate for different activities of individual microbial groups [69,70].…”

Section: Discussionmentioning

confidence: 99%

Influence of Long-Term Soil Management Practices on Carbon Emissions from Corn (Zea mays L.) Production in Northeast Croatia

Galić

¹

,

Bilandžija

²

,

Zgorelec

³

2023

Agronomy

0

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Sustainable management of agricultural resources is needed to meet people’s increasing demands for food, fiber and energy while maintaining the quality of the environment and protecting natural resources. With the rapid growth of agriculture and the mechanization of farming, the agricultural sector has become one of the main contributors to the increase in CO2 emissions and other greenhouse gases in the world. Therefore, the aim of this study was to determine the effect, dependence and correlations of CO2 in soil with native vegetation (presence/absence, corn yield) and climatic conditions (soil temperature and moisture) during three years of measurements under different management practices in a classical conventional agroecosystem. This research contains four different treatments: control treatment (CT), dolomite/organic fertilization (DOL/OF), mineral fertilization (MF) and black fallow (BF). During the investigated period, the average overall C-CO2 flux ranged from 7.98 kg ha−1 day−1 on bare soil to 16.26 kg ha−1 day−1 on soil treated with mineral fertilization. No statistically significant difference was observed among different fertilization treatments, except in 2013 and 2015 when comparing different fertilization treatments to bare soil. In all three years, there was a positive correlation between average C-CO2 fluxes and soil temperature. Additionally, in 2013 and 2017, there was a positive correlation between average C-CO2 fluxes and soil moisture, while a negative correlation was observed in 2015. Obtained values of crop yield ranged from 0.89 t ha−1 in the control treatment (in 2015) to 14.81 t ha−1 in the treatment with mineral fertilization (in 2017). Growing global concern about the effects of climate change calls for intensive research on the carbon cycle, and these results will contribute to the understanding of carbon transformation in different crops and soil management practices.

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“…The natural CO 2 cycle is affected by factors related to climate and vegetation aspects [6,31,32]. Due to the VIF analysis, we were able to summarize three main factors for São Paulo state: Global Radiation (Qg), Relative Humidity (RH) and Sun-Induced chlorophyll Fluoresce at 757 nm (SIF 757).…”

Section: Discussionmentioning

confidence: 99%

Daily Model of Xco2 Based on Orbital Observations for the State of São Paulo – Brazil

Costa

¹

,

Santos

²

,

Panosso

³

et al. 2022

Preprint

Self Cite

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Background: Understanding the behavior of carbon dioxide (CO2) it is crucial to create strategies to deal with climate change. Several space missions were designed to monitor this and other greenhouse gases and studies at global and large regional scales were developed using these remote sensing tools. However, there is still a time gap in orbital data, since the revisit time of a satellite at the same location for this type of observation is not daily. Daily measurements of CO2 can be made using Eddy Covariance technique, although this type of study is at a very local scale. In this study, we aimed to build a daily model to estimate the natural CO2 in the atmosphere.Results: The data was retrieved from the Orbiting Carbon Observatory-2 (OCO-2), NASA-POWER and, Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) and consist in a time-series from 2015 to 2019. To summarize the most relevant factor we used the Variance Inflation Factor (VIF) after we performed the Pearson’s Correlation and apply descriptive statistics in the significant variables (p < 0.05). The model was construed using the stepwise regression method and the selected model was defined by the lowest RMSE in training (~0.6 ppm). The most related variables with Xco2 were Global Radiation (Qg), Sun Induced Chlorophyll Fluorescence (SIF) and, Relative Humidity (RH), all these factors were negatively correlated with the CO2 concentration. The model has the best perform with the Qg and RH (RMSE = 0.47 ppm, R2 = 0.44, p < 0.01).Conclusion: In summary, the cycle of atmospheric CO2 in the state of São Paulo has higher average values during April to October, and the lowest averages of Xco2 were usually observed between December to March and the inverse behavior was observed for SIF 757, Global Radiation (Qg) and Relative Humidity (RH). Concerning the daily model, despite the differences between the spatial observations, the model derived here was capable to estimate the cycle of atmospheric CO2 using only meteorological data.

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“…The natural annual cycle of is affected by factors related to climate and vegetation aspects [ 6 , 36 , 37 ]. Due to the VIF analysis, we were able to summarize three main factors for São Paulo state: Global Radiation (Qg), Relative Humidity (RH) and Sun-Induced chlorophyll Fluorescence at 757 nm (SIF 757), reducing the uncertainties in the model formulation since we removed the overfit caused by multicollinearity [ 31 , 32 ].…”

Section: Discussionmentioning

confidence: 99%

An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil

Costa

¹

,

Santos

²

,

Panosso

³

et al. 2022

Carbon Balance Manage

5

0

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Background The recent studies of the variations in the atmospheric column-averaged CO2 concentration ($${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 ) above croplands and forests show a negative correlation between $${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 and Sun Induced Chlorophyll Fluorescence (SIF) and confirmed that photosynthesis is the main regulator of the terrestrial uptake for atmospheric CO2. The remote sensing techniques in this context are very important to observe this relation, however, there is still a time gap in orbital data, since the observation is not daily. Here we analyzed the effects of several variables related to the photosynthetic capacity of vegetation on $${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 above São Paulo state during the period from 2015 to 2019 and propose a daily model to estimate the natural changes in atmospheric CO2. Results The data retrieved from the Orbiting Carbon Observatory-2 (OCO-2), NASA-POWER and Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) show that Global Radiation (Qg), Sun Induced Chlorophyll Fluorescence (SIF) and, Relative Humidity (RH) are the most significant factors for predicting the annual $${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 cycle. The daily model of $${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 estimated from Qg and RH predicts daily $${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 with root mean squared error of 0.47 ppm (the coefficient of determination is equal to 0.44, p < 0.01). Conclusion The obtained results imply that a significant part of daily $${\text{X}}_{{{\text{CO}}_{{2}} }}$$ X CO 2 variations could be explained by meteorological factors and that further research should be done to quantify the effects of the atmospheric transport and anthropogenic emissions.

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CO2 emission and its relation to soil temperature, moisture, and O2 absorption in the reforested areas of Cerrado biome, Central Brazil

Cited by 11 publications

References 79 publications

Influence of Long-Term Soil Management Practices on Carbon Emissions from Corn (Zea mays L.) Production in Northeast Croatia

Influence of Long-Term Soil Management Practices on Carbon Emissions from Corn (Zea mays L.) Production in Northeast Croatia

Daily Model of Xco2 Based on Orbital Observations for the State of São Paulo – Brazil

An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil

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