Implications of converting native forest areas to agricultural systems on the dynamics of CO2 emission and carbon stock in a Cerrado soil, Brazil.

The conversion of native vegetation to agricultural areas leads to a natural process of carbon loss but these systems can stabilize in terms of carbon dynamics depending on the management and conversion time, presenting potential to both store and stabilize this carbon in the soil, resulting in lower soil respiration rates. In this context, this study aimed to investigate the effect of converting native Cerrado forest areas to agricultural systems with a forest planted with Eucalyptus camaldulensis and silvopastoral systems on the dynamics of CO2 emission and carbon stock at different soil depths. The experimental sites are located in the Midwest of Brazil, in the coordinates 20°22'31″ S and 51°24'12″ W. Were evaluated soil CO2 emission (FCO2), soil organic carbon, the degree of humification of soil organic matter (HLIFS), soil temperature, soil moisture, and soil chemical and physical attributes. The soil of the area is classified as an Oxisol (Haplic Acrustox). Soil samples were collected at depths of 0.00-0.10, 0.10-0.20, 0.20-0.30, and 0.30-0.40 m. The lowest FCO2 values were found in the silvopastoral system (1.05 µmol m-2 s-1), followed by the native forest (1.65 µmol m-2 s-1) and the eucalyptus system (1.96 µmol m-2 s-1), indicating a 36% reduction in FCO2 compared to the conversion of the native forest to the silvopastoral system and an increase of 19% when converting the native forest to the eucalyptus system. The soil chemical attributes (N, K+, Ca2+, H++Al3+, CEC, and organic carbon) showed a decrease along the profile. The shallowest depths (0.00-0.10 and 0.10-0.20 m) presented no differences between systems but the subsequent depths (0.20-0.30 and 0.30-0.40 m) had a difference (95% confidence interval), relative to N, Ca2+, H++Al3, CEC, and organic carbon stock (OCS), and the soil under silvopastoral system showed a higher concentration of these attributes than the native forest. The multivariate analysis showed that the eucalyptus and silvopastoral systems did not differ from the forest in the shallowest soil layer but differed from each other. This behavior changed from the second assessed depth (0.10-0.20 m), in which the silvopastoral system stands out, differing both from the eucalyptus system and from the native forest, and this behavior is maintained at the following depths (0.20-0.30 and 0.30-0.40 m). OCS, H++Al3, CEC, and nitrogen are strongly related to land use change for silvopastoral system. Regarding the behavior/relationship of attributes as a function of depth, the silvopastoral system contributed to soil carbon accumulation and stability over consecutive years.

Machine learning for prediction of soil CO2 emission in tropical forests in the Brazilian Cerrado.

Soil CO2 emission (FCO2) is a critical component of the global carbon cycle, but it is a source of great uncertainty due to the great spatial and temporal variability. Modeling of soil respiration can strongly contribute to reducing the uncertainties associated with the sources and sinks of carbon in the soil. In this study, we compared five machine learning (ML) models to predict the spatiotemporal variability of FCO2 in three reforested areas: eucalyptus (RE), pine (RP) and native species (RNS). The study also included a generalized scenario (GS) where all the data from RE, RP and RNS were included in one dataset. The ML models include generalized regression neural network (GRNN), radial basis function neural network (RBFNN), multilayer perceptron neural network (MLPNN), adaptive neuro-fuzzy inference system (ANFIS) and random forest (RF). Initially, we had 32 attributes and after pre-processing, including Pearson's correlation, canonical correlation analysis (CCA), and biophysical justification, only 21 variables remained. We used as input variables 19 soil properties and climate variables in reforested areas of eucalyptus, pine and native species. RF was the best model to predict soil respiration to RE [adjusted coefficient of determination (R2 adj): 0.70 and root mean square error (RMSE): 1.02 µmol m-2 s-1], RP (R2 adj: 0.48 and RMSE: 1.07 µmol m-2 s-1) and GS (R2 adj: 0.70 and RMSE: 1.05 µmol m-2 s-1). Our findings support that RF and GRNN are promising for predicting soil respiration of reforested areas which could help to identify and monitor potential sources and sinks of the main additional greenhouse gas over ecosystems.

Microalgae biomass as a renewable biostimulant: meat processing industry effluent treatment, soil health improvement, and plant growth.

Microalgae biomass contributes to effluent bioremediation. It is a concentrated source of nutrients and organic carbon, making it a potential alternative as a soil biostimulant. In this context, this study aimed to evaluate the soil application of microalgae biomass produced from the meat processing industry effluent treatment. The biomass was applied dry and as a mixture to demonstrate its potential to increase plant production and soil metabolic functions, analyzed short-term. Doses of 0.25%, 0.5%, 1%, and 2% biomass were applied in soils from (i) Horizon A: taken at a depth between 0 and 10 cm and; (ii) Horizon B: taken at a depth between 20 and 40 cm. Corn growth (Zea Mays L.), basal soil respiration, microbial biomass carbon, total organic carbon, ß-glucosidase, acid phosphatase, arylsulfatase, and urease enzymatic activity were evaluated in each sample. It is concluded that applying 2% microalgae biomass led to higher basal soil respiration, microbial biomass carbon, and ß-glucosidase, acid phosphatase, arylsulfatase enzymatic activity in both soils. On the other hand, boron may have contributed to urease activity reduction in Soil A. Although 2% biomass led to higher soils characteristics, that dose did not promote higher plant growth. Hence, considering that plant growth must be in line with changes in soil characteristics, the result that provided the higher plant shoot dry matter mass was by applying 0.55% biomass in both soils. Therefore, the application of microalgae biomass produced from a meat processing industry effluent treatment promoted a biologically active soil and boosted plant growth.

Rhizobacteria modify soil biological indices and induce tolerance to osmotic stress in tomato depending on the salinity level and bacteria species.

Salinity is a major abiotic stress that impacts crop productivity globally. Plant growth-promoting rhizobacteria (PGPRs) exploit several mechanisms to not only decrease soil salinity but also improve the systemic tolerance of plants to osmotic stress. In this work, the effect of five PGPR strains was investigated on the growth and physiological responses of tomato plants, including stomatal closure, proline, and K+ and Na+ content under a range of salt stress, 0, 2.5, 5, 7.5, and 10 dS m-1. The effect of PGPR strains and salinity levels on the soil biological characteristics was also investigated. Salt stress affected the plant growth and physiological factors and soil biological factors in a dose-dependent manner. The highest saline stress, 10 dS m-1, reduced shoot and root dry weight and root volume up to 51.3, 41.5, and 51.8%, respectively. It also increased stomatal resistance and proline content 2.01- and 3.66-folds and decreased K+/Na+ ratio 4.16-folds, respectively. It also reduced basal respiration, substrate-induced respiration, and microbial biomass carbon up to 2.25-, 4.83-, and 6.7-folds and increased qCO2 3.18-folds, respectively. PGPR strains were able to modulate salt tolerance mechanisms, improve plant growth factors, and improve soil biological indicators. Bacillus megaterium P2 was the best strain in the balancing K+/Na+ uptake at least at 10 dS m-1. However, the efficiency of strains was dependent on the magnitude of salt stress. Therefore, it is possible to introduce PGPR strains based on soil salt level or exploit rhizobacteria consortia to manage salt stress in different conditions.

Biodegradação do herbicida atrazina por Saccharomyces cerevisiae / Biodegradation of the atrazine herbicide by Saccharomyces cerevisiae

RESUMO Tendo em vista os vários problemas ambientais e de saúde que o uso crescente de agrotóxicos vem causando, é necessário a otimização de técnicas que visem a sua rápida degradação. A atrazina é um herbicida utilizado no controle de ervas daninhas, principalmente nas culturas de milho e cana-de-açúcar. Nesse sentido, o objetivo deste estudo foi verificar a eficiência da levedura Saccharomyces cerevisiae na degradação do herbicida atrazina em solo contaminado com diferentes concentrações do produto comercial. Foi igualmente testado o efeito da adição de palha de milho no experimento. A fim de determinar a quantidade de gás carbônico (CO2) liberado durante os ensaios, o qual reflete a atividade da microbiota do solo responsável pela degradação de compostos orgânicos, foi utilizada a técnica da respiração basal do solo. E, paralelamente a isso, para verificar a concentração de atrazina ao longo do experimento (tempo inicial, aos 7, 14 e 63 dias), foi utilizada a análise de cromatografia gasosa acoplada ao espectrômetro de massas (CG-MS). Por meio da análise estatística dos dados de respiração basal do solo, o fator de bioaumento com a levedura foi o mais significativo, seguido da adição de palha de milho. Verificou-se o declínio da concentração de atrazina por intermédio das análises cromatográficas. Assim, sugere-se que a biorremediação com S. cerevisiae tem potencial para elevar as taxas de degradação do herbicida no solo.

ABSTRACT Considering the various environmental and health problems that the increasing use of pesticides has been causing, it is necessary to optimize techniques aimed at their rapid degradation. Atrazine is a herbicide used to control weeds, especially in maize and sugarcane crops. Thus, the objective of this study was to verify the efficiency of the Saccharomyces cerevisiae yeast in the degradation of the herbicide atrazine in soil contaminated with different concentrations of the commercial product. The effect of addition of corn straw on the experiment was also tested. In order to determine the amount of carbon dioxide (CO2) released during the tests, which reflects the activity of the soil microorganism responsible for the degradation of organic compounds, the soil basal respiration technique was used. At the same time, the concentration of atrazine during the experiment (start time, at 7, 14, and 63 days) was analyzed by gas chromatography coupled to the mass spectrometer (CG-MS). Through the statistical analysis of the basal respiration data of the soil, the bioaugmentation factor with yeast was the most significant, followed by the addition of corn straw, and the decline in atrazine concentration was verified through chromatographic analyses. Thus, it is suggested that bioremediation with S. cerevisiae has the potential to increase the rates of degradation of the herbicide in the soil.

Large seasonal variation of soil respiration in a secondary tropical moist forest in Puerto Rico.

Tropical forests are the largest contributors to global emissions of carbon dioxide (CO2) to the atmosphere via soil respiration (R s). As such, identifying the main controls on R s in tropical forests is essential for accurately projecting the consequences of ongoing and future global environmental changes to the global C cycle. We measured hourly R s in a secondary tropical moist forest in Puerto Rico over a 3-year period to (a) quantify the magnitude of R s and (b) identify the role of climatic, substrate, and nutrient controls on the seasonality of R s. Across 3 years of measurements, mean R s was 7.16 ± 0.02 µmol CO2 m-2 s-1 (or 2,710 g C m-2 year-1) and showed significant seasonal variation. Despite small month-to-month variation in temperature (~4°C), we found significant positive relationships between daily and monthly R s with both air and soil temperature, highlighting the importance of temperature as a driver of R s even in warm ecosystems, such as tropical forests. We also found a significant parabolic relationship between mean daily volumetric soil moisture and mean daily R s, with an optimal moisture value of 0.34 m3 m-3. Given the relatively consistent climate at this site, the large range in mean monthly R s (~7 µmol CO2 m-2 s-1) was surprising and suggests that even small changes in climate can have large implications for ecosystem respiration. The strong positive relationship of R s with temperature at monthly timescales particularly stands out, as moisture is usually considered a stronger control of R s in tropical forests that already experience warm temperatures year-round. Moreover, our results revealed the strong seasonality of R s in tropical moist forests, which given its high magnitude, can represent a significant contribution to the seasonal patterns of atmospheric (CO2) globally.

How different soil moisture levels affect the microbial activity / Como diferentes níveis de umidade do solo afetam a atividade microbiana de um solo de terras baixas usado para cultivo do arroz?

The lowland soils are characterized by high susceptibility to water saturation. This anaerobic condition is usually reported in paddy fields and alters the decomposition process of soil organic compounds. The aim of this study was to evaluate the soil microbial and enzymatic activity of a lowland soil at different soil moisture contents. A poorly drained Albaqualf cultivated with irrigated rice was used to evaluate microbial and enzymatic activity in treatments with different levels of soil moisture, being: i) 60% of field capacity (FC) (60%FC); ii) 100% of FC (100%FC); iii) flooded soil with a 2 cm water layer above soil surface, and iv) soil kept at 60%FC with late flood after 29 days the incubation. The greater soil microbial activity was observed in the 100%FC treatment, being 41% greater than 60%FC treatment and only 2% higher than flooded treatment. The enzymatic activity data by fluorescein diacetate (FDA) hydrolysis corroborated the higher CO2 release in treatments with higher soil moisture content. Differently from the results reported, the main methodologies to evaluate microbial activity still recommend maintenance of the soil with a moisture content close to 60% of the FC. However, in lowland soil with history of frequent paddy fields, the maintenance of moisture close to 60% of the FC can limit the microbial activity. The soil respiration technique can be used to evaluate the microbial activity in flooded soil conditions. However, further studies should be conducted to understand the effect of the cultivation history on the microbial community of these environments.(AU)

Os solos de várzea são caracterizados pela alta suscetibilidade à saturação por água. Esta condição anaeróbica é geralmente encontrada em solos arrozeiros e altera o processo de decomposição dos compostos orgânicos do solo. O objetivo deste estudo foi avaliar a atividade microbiana e enzimática de um solo de várzea sob diferentes teores de umidade no solo. Um Planossolo historicamente cultivado com arroz irrigado foi utilizado para avaliar a atividade microbiana e enzimática em tratamentos com diferentes níveis de umidade do solo, sendo: i) 60% de capacidade de campo (CC) (60%CC); ii) 100% da CC (100%CC); iii) solo inundado com uma camada de água de 2 cm acima da superfície do solo; e iv) solo mantido a 60%CC com inundação após 29 dias da incubação. A maior atividade microbiana do solo foi observada no tratamento 100%CC, sendo 41% maior que o tratamento 60%CC e 2% maior que tratamento inundado. Os dados da atividade enzimática pela hidrólise do diacetato de fluoresceína (FDA) corroboraram a maior liberação de CO2 nos tratamentos com maior umidade do solo. Diferentemente dos resultados encontrados, as principais metodologias para avaliação da atividade microbiana ainda recomendam manter o solo com umidade próxima a 60% da CC. No entanto, em solos de várzea com históricos de cultivos de arroz, a manutenção de umidade próxima a 60% da CC pode limitar a atividade microbiana. A técnica de respiração do solo pode ser usada para avaliar a atividade microbiana em condições de solo inundado. No entanto, mais estudos devem ser realizados para entender o efeito do histórico de cultivo na comunidade microbiana nesses ambientes.(AU)

How different soil moisture levels affect the microbial activity / Como diferentes níveis de umidade do solo afetam a atividade microbiana de um solo de terras baixas usado para cultivo do arroz?

ABSTRACT: The lowland soils are characterized by high susceptibility to water saturation. This anaerobic condition is usually reported in paddy fields and alters the decomposition process of soil organic compounds. The aim of this study was to evaluate the soil microbial and enzymatic activity of a lowland soil at different soil moisture contents. A poorly drained Albaqualf cultivated with irrigated rice was used to evaluate microbial and enzymatic activity in treatments with different levels of soil moisture, being: i) 60% of field capacity (FC) (60%FC); ii) 100% of FC (100%FC); iii) flooded soil with a 2 cm water layer above soil surface, and iv) soil kept at 60%FC with late flood after 29 days the incubation. The greater soil microbial activity was observed in the 100%FC treatment, being 41% greater than 60%FC treatment and only 2% higher than flooded treatment. The enzymatic activity data by fluorescein diacetate (FDA) hydrolysis corroborated the higher CO2 release in treatments with higher soil moisture content. Differently from the results reported, the main methodologies to evaluate microbial activity still recommend maintenance of the soil with a moisture content close to 60% of the FC. However, in lowland soil with history of frequent paddy fields, the maintenance of moisture close to 60% of the FC can limit the microbial activity. The soil respiration technique can be used to evaluate the microbial activity in flooded soil conditions. However, further studies should be conducted to understand the effect of the cultivation history on the microbial community of these environments.

RESUMO: Os solos de várzea são caracterizados pela alta suscetibilidade à saturação por água. Esta condição anaeróbica é geralmente encontrada em solos arrozeiros e altera o processo de decomposição dos compostos orgânicos do solo. O objetivo deste estudo foi avaliar a atividade microbiana e enzimática de um solo de várzea sob diferentes teores de umidade no solo. Um Planossolo historicamente cultivado com arroz irrigado foi utilizado para avaliar a atividade microbiana e enzimática em tratamentos com diferentes níveis de umidade do solo, sendo: i) 60% de capacidade de campo (CC) (60%CC); ii) 100% da CC (100%CC); iii) solo inundado com uma camada de água de 2 cm acima da superfície do solo; e iv) solo mantido a 60%CC com inundação após 29 dias da incubação. A maior atividade microbiana do solo foi observada no tratamento 100%CC, sendo 41% maior que o tratamento 60%CC e 2% maior que tratamento inundado. Os dados da atividade enzimática pela hidrólise do diacetato de fluoresceína (FDA) corroboraram a maior liberação de CO2 nos tratamentos com maior umidade do solo. Diferentemente dos resultados encontrados, as principais metodologias para avaliação da atividade microbiana ainda recomendam manter o solo com umidade próxima a 60% da CC. No entanto, em solos de várzea com históricos de cultivos de arroz, a manutenção de umidade próxima a 60% da CC pode limitar a atividade microbiana. A técnica de respiração do solo pode ser usada para avaliar a atividade microbiana em condições de solo inundado. No entanto, mais estudos devem ser realizados para entender o efeito do histórico de cultivo na comunidade microbiana nesses ambientes.

Respiration induced by substrate and bacteria diversity after application of diuron, hexazinone, and sulfometuron-methyl alone and in mixture.

After application, herbicides often reach the soil and affect non-target soil microorganisms, decreasing their population, diversity or affecting metabolic activity. Therefore, laboratory studies were performed to evaluate the effects of diuron, hexazinone and sulfometuron-methyl alone and mixed upon carbon transformation by soil microorganisms in clayey and sandy soils and the effect on bacterial diversity and structure. Control treatment without herbicide application was also performed. Sub-samples from the control and herbicide treatments (10 g - in triplicate) were collected before herbicide application and 7, 14, 28 and 42 days after treatment (DAT), then 1 mL of 14C-glucose solution was applied. The released 14CO2 was trapped in 2 M NaOH solution and the radioactivity was analyzed by liquid scintillation counting (LSC), 12 h after glucose application. The effect of herbicides on bacterial diversity was evaluated by T-RFLP. The experiment was conducted in a complete randomized design. Hexazinone did not affect 14CO2 evolution. Diuron showed a greater 14CO2 evolution in sandy and clayey soil, while sulfometuron-methyl led to an increase in sandy soil, at 42 DAT. A greater evolution of carbon was observed in the treatment with herbicide mixture in sandy soil, compared with the same treatment in clayey soil or control. However, the herbicide mixture application did not affect the soil biological activity measured by the respiration rate induced by substrate. On the other hand, the herbicide mixtures affected the bacterial diversity in both soils, being the strongest effect to diuron and sulfometuron-methyl in clayey soil and hexazinone in sandy soil.

Short-term effects of byproduct amendments and lime on physicochemical and microbiological properties of acidic soil from Jiaodong Peninsula of China / Efeitos de alterações de subprodutos e cal em solo ácido da Península de Jiaodong da China

The influences of byproduct amendments, containing silicon, calcium, magnesium and potassium, on acidic soil quality in Jiaodong Peninsula of China had been studied and compared with that of lime through monitoring physicochemical properties and enzyme activities of acidic soil over a 120-day period. Byproduct amendments (1125, 2250, 4500 and 9000 kg ha-¹) and lime 2250 kg ha-¹ was applied in the acidic soil. Results showed that both byproduct amendments and lime significantly increased the pH, EC and enzyme activities of soil. The by-product amendments inhibited microbial biomass carbon and soil respiration. Nevertheless, the lime-treated soil had a much more higher level of CO2 emission than the by-product amendments-treated soil. Compared to the by-product amendments-treated soil, the lime-treated soil had the higher pH, peroxidase activity, phenol oxidase activity and invertase activity. Therefore, lime might be a better choice over by-product amendments to improve chemical and biological properties of the acidic soil in Jiaodong Peninsula of China. For soils lacking available calcium and magnesium, the mixture of 4500 kg ha-¹ amendments and 2250 kg ha-¹ lime was recommend to treat the soil.(AU)

As influências do emprego de subprodutos que contêm silício, cálcio, magnésio e potássio, sobre a qualidade do solo ácido na Península de Jiaodong da China, foram estudadas e comparadas com a da cal através do monitoramento das propriedades físico-químicas e atividades enzimáticas do solo ácido ao longo de um 120- período do dia. Os resultados mostraram que as alterações dos subprodutos e a cal aumentaram significativamente as atividades de pH, CE e enzimas do solo. As alterações dos subprodutos obviamente inibiram o carbono da biomassa microbiana e a respiração do solo, mas o solo tratado com cal apresentou um maior nível de emissão de CO2. Em comparação com as modificações do subproduto, o solo tratado tinha o maior pH, a atividade da peroxidase, a atividade da fenol oxidase e a atividade da invertease. Portanto, o cal pode ser uma escolha melhor em relação às alterações dos subprodutos para melhorar as propriedades químicas e biológicas do solo ácido na Península de Jiaodong da China.(AU)

Short-term effects of byproduct amendments and lime on physicochemical and microbiological properties of acidic soil from Jiaodong Peninsula of China / Efeitos de alterações de subprodutos e cal em solo ácido da Península de Jiaodong da China

ABSTRACT: The influences of byproduct amendments, containing silicon, calcium, magnesium and potassium, on acidic soil quality in Jiaodong Peninsula of China had been studied and compared with that of lime through monitoring physicochemical properties and enzyme activities of acidic soil over a 120-day period. Byproduct amendments (1125, 2250, 4500 and 9000 kg ha-1) and lime 2250 kg ha-1 was applied in the acidic soil. Results showed that both byproduct amendments and lime significantly increased the pH, EC and enzyme activities of soil. The by-product amendments inhibited microbial biomass carbon and soil respiration. Nevertheless, the lime-treated soil had a much more higher level of CO2 emission than the by-product amendments-treated soil. Compared to the by-product amendments-treated soil, the lime-treated soil had the higher pH, peroxidase activity, phenol oxidase activity and invertase activity. Therefore, lime might be a better choice over by-product amendments to improve chemical and biological properties of the acidic soil in Jiaodong Peninsula of China. For soils lacking available calcium and magnesium, the mixture of 4500 kg ha-1 amendments and 2250 kg ha-1 lime was recommend to treat the soil.

RESUMO: As influências do emprego de subprodutos que contêm silício, cálcio, magnésio e potássio, sobre a qualidade do solo ácido na Península de Jiaodong da China, foram estudadas e comparadas com a da cal através do monitoramento das propriedades físico-químicas e atividades enzimáticas do solo ácido ao longo de um 120- período do dia. Os resultados mostraram que as alterações dos subprodutos e a cal aumentaram significativamente as atividades de pH, CE e enzimas do solo. As alterações dos subprodutos obviamente inibiram o carbono da biomassa microbiana e a respiração do solo, mas o solo tratado com cal apresentou um maior nível de emissão de CO2. Em comparação com as modificações do subproduto, o solo tratado tinha o maior pH, a atividade da peroxidase, a atividade da fenol oxidase e a atividade da invertease. Portanto, o cal pode ser uma escolha melhor em relação às alterações dos subprodutos para melhorar as propriedades químicas e biológicas do solo ácido na Península de Jiaodong da China.

Forecasting the spatiotemporal variability of soil CO2 emissions in sugarcane areas in southeastern Brazil using artificial neural networks.

Carbon dioxide (CO2) is considered one of the main greenhouse effect gases and contributes significantly to global climate change. In Brazil, the agricultural areas offer an opportunity to mitigate this effect, especially with the sugarcane crop, since, depending on the management system, sugarcane stores large amounts of carbon, thereby removing it from the atmosphere. The CO2 production in soil and its transport to the atmosphere are the results of biochemical processes such as the decomposition of organic matter and roots and the respiration of soil organisms, a phenomenon called soil CO2 emissions (FCO2). The objective of the study was to investigate the use of neural networks with backpropagation algorithm to predict the spatial patterns of soil CO2 emission during short periods in sugarcane areas. FCO2 values were collected in three commercial crop areas in the São Paulo state, southeastern Brazil, registered through the LI-8100 system during the years 2008 (Motuca), 2010 (Guariba city), and 2012 (Pradópolis), in the period after the mechanical harvesting (green cane). A neural network multilayer perceptron with a backpropagation algorithm was applied to estimate the FCO2 in 2012, using data from 2008 and 2010 as training for the neural network. The neural network initially presented a mean absolute percentage error (MAPE) of 18.3852 and a coefficient of determination (R2) of 0.9188. Data obtained from the observed and estimated values of FCO2 present moderate spatial dependence, and it is observed from the maps of the spatial pattern of the CO2 flow that the results from the neural network show considerable similarity to the observed data. The model results identify the higher and lower characteristics in sample points of CO2 emissions and produce an overestimation of the range of spatial dependence (0.45 m) and an underestimation of the interpolated values in the field (R2 = 0.80; MAPE = 12.0591), when compared to the actual soil CO2 emission values. Therefore, the results indicate that the artificial neural network provides reliable estimates for the evaluation of FCO2 from data of the soil's physical and chemical attributes and describes the spatial variability of FCO2 in sugarcane fields, thereby contributing to the reduction of uncertainties associated with FCO2 accountings in these areas.

Avaliação sobre a redução da atividade microbiana na adubação orgânica e sua influência no crescimento do milho e respiração do solo / Evaluation on the reduction of microbial activity in organic fertilization and its influence on maize growth and soil respiration

O objetivo do presente trabalho foi avaliar o efeito da incorporação de matéria orgânica natural e matéria orgânica irradiada ao solo, sobre o crescimento do milho e respiração do solo. O experimento foi conduzido em casa de vegetação e laboratório de microbiologia. Para a adubação orgânica foi utilizado esterco bovino curtido retirado da fazenda de produção de leite. Para redução da atividade microbiana no esterco utilizou-se a técnica da irradiação utilizando-se o forno micro-ondas. O delineamento experimental empregado foi de blocos inteiramente casualizados contendo cinco tratamentos, com e sem irradiação e quatro repetições. Com 65 dias após a semeadura, foram feitas as avaliações da altura e massa seca de plantas. Foi também realizada a coleta de amostras de solo para a avaliação da atividade microbiana pelo método da respiração basal do solo. A aplicação do esterco natural favoreceu a maior atividade microbiana no solo quando comparada a mesma matéria orgânica irradiada. O esterco natural promoveu o maior crescimento do milho indicando doses próximas de dez toneladas por hectare com ajuste quadrático significativo (p<0,05) o que não ocorreu no uso do esterco irradiado que proporcionou ajuste linear.(AU)

The objective of the present work was to evaluate the effect of the incorporation of organic matter and organic matter irradiated to the soil, on corn growth and soil respiration. The experiment was conducted in a greenhouse and microbiology laboratory. For organic fertilization, bovine manure was taken from the dairy farm. To reduce microbial activity in manure, the irradiation technique was used using the microwave oven. The experimental design was a completely randomized block containing five treatments, with and without irradiation and four replications. At 65 days after sowing, height and dry mass evaluations of plants were made. Soil samples were also collected for the evaluation of microbial activity by basal soil respiration method. The application of natural manure favored the greater microbial activity in the soil when compared to the same organic matter irradiated. Natural manure promoted the highest growth of maize indicating doses close to ten tons per hectare with a significant quadratic adjustment (p <0.05), which did not occur in the use of irradiated manure that provided linear adjustment.(AU)

Avaliação sobre a redução da atividade microbiana na adubação orgânica e sua influência no crescimento do milho e respiração do solo / Evaluation on the reduction of microbial activity in organic fertilization and its influence on maize growth and soil respiration

O objetivo do presente trabalho foi avaliar o efeito da incorporação de matéria orgânica natural e matéria orgânica irradiada ao solo, sobre o crescimento do milho e respiração do solo. O experimento foi conduzido em casa de vegetação e laboratório de microbiologia. Para a adubação orgânica foi utilizado esterco bovino curtido retirado da fazenda de produção de leite. Para redução da atividade microbiana no esterco utilizou-se a técnica da irradiação utilizando-se o forno micro-ondas. O delineamento experimental empregado foi de blocos inteiramente casualizados contendo cinco tratamentos, com e sem irradiação e quatro repetições. Com 65 dias após a semeadura, foram feitas as avaliações da altura e massa seca de plantas. Foi também realizada a coleta de amostras de solo para a avaliação da atividade microbiana pelo método da respiração basal do solo. A aplicação do esterco natural favoreceu a maior atividade microbiana no solo quando comparada a mesma matéria orgânica irradiada. O esterco natural promoveu o maior crescimento do milho indicando doses próximas de dez toneladas por hectare com ajuste quadrático significativo (p<0,05) o que não ocorreu no uso do esterco irradiado que proporcionou ajuste linear.

The objective of the present work was to evaluate the effect of the incorporation of organic matter and organic matter irradiated to the soil, on corn growth and soil respiration. The experiment was conducted in a greenhouse and microbiology laboratory. For organic fertilization, bovine manure was taken from the dairy farm. To reduce microbial activity in manure, the irradiation technique was used using the microwave oven. The experimental design was a completely randomized block containing five treatments, with and without irradiation and four replications. At 65 days after sowing, height and dry mass evaluations of plants were made. Soil samples were also collected for the evaluation of microbial activity by basal soil respiration method. The application of natural manure favored the greater microbial activity in the soil when compared to the same organic matter irradiated. Natural manure promoted the highest growth of maize indicating doses close to ten tons per hectare with a significant quadratic adjustment (p <0.05), which did not occur in the use of irradiated manure that provided linear adjustment.

Prediction of soil CO2 flux in sugarcane management systems using the Random Forest approach

The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO2 flux. This study aimed to identify prediction of soil CO2 flux variables in management systems of sugarcane through the machine-learning algorithm called Random Forest. Two different management areas of sugarcane in the state of São Paulo, Brazil, were selected: burned and green. In each area, we assembled a sampling grid with 81 georeferenced points to assess soil CO2 flux through automated portable soil gas chamber with measuring spectroscopy in the infrared during the dry season of 2011 and the rainy season of 2012. In addition, we sampled the soil to evaluate physical, chemical, and microbiological attributes. For data interpretation, we used the Random Forest algorithm, based on the combination of predicted decision trees (machine learning algorithms) in which every tree depends on the values of a random vector sampled independently with the same distribution to all the trees of the forest. The results indicated that clay content in the soil was the most important attribute to explain the CO2 flux in the areas studied during the evaluated period. The use of the Random Forest algorithm originated a model with a good fit (R2 = 0.80) for predicted and observed values.(AU)

Impacts of fire on sources of soil CO2 efflux in a dry Amazon rain forest.

Fire at the dry southern margin of the Amazon rainforest could have major consequences for regional soil carbon (C) storage and ecosystem carbon dioxide (CO2 ) emissions, but relatively little information exists about impacts of fire on soil C cycling within this sensitive ecotone. We measured CO2 effluxes from different soil components (ground surface litter, roots, mycorrhizae, soil organic matter) at a large-scale burn experiment designed to simulate a severe but realistic potential future scenario for the region (Fire plot) in Mato Grosso, Brazil, over 1 year, and compared these measurements to replicated data from a nearby, unmodified Control plot. After four burns over 5 years, soil CO2 efflux (Rs ) was ~5.5 t C ha-1  year-1 lower on the Fire plot compared to the Control. Most of the Fire plot Rs reduction was specifically due to lower ground surface litter and root respiration. Mycorrhizal respiration on both plots was around ~20% of Rs . Soil surface temperature appeared to be more important than moisture as a driver of seasonal patterns in Rs at the site. Regular fire events decreased the seasonality of Rs at the study site, due to apparent differences in environmental sensitivities among biotic and abiotic soil components. These findings may contribute toward improved predictions of the amount and temporal pattern of C emissions across the large areas of tropical forest facing increasing fire disturbances associated with climate change and human activities.

Comparing organic versus conventional soil management on soil respiration.

Soil management has great potential to affect soil respiration. In this study, we investigated the effects of organic versus conventional soil management on soil respiration.  We measured the main soil physical-chemical properties from conventional and organic managed soil in Ecuador. Soil respiration was determined using alkaline absorption according to Witkamp.  Soil properties such as organic matter, nitrogen, and humidity, were comparable between conventional and organic soils in the present study, and in a further analysis there was no statically significant correlation with soil respiration. Therefore, even though organic farmers tend to apply more organic material to their fields, but this did not result in a significantly higher CO2 production in their soils in the present study.

Prediction of soil CO2 flux in sugarcane management systems using the Random Forest approach

ABSTRACT: The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO2 flux. This study aimed to identify prediction of soil CO2 flux variables in management systems of sugarcane through the machine-learning algorithm called Random Forest. Two different management areas of sugarcane in the state of São Paulo, Brazil, were selected: burned and green. In each area, we assembled a sampling grid with 81 georeferenced points to assess soil CO2 flux through automated portable soil gas chamber with measuring spectroscopy in the infrared during the dry season of 2011 and the rainy season of 2012. In addition, we sampled the soil to evaluate physical, chemical, and microbiological attributes. For data interpretation, we used the Random Forest algorithm, based on the combination of predicted decision trees (machine learning algorithms) in which every tree depends on the values of a random vector sampled independently with the same distribution to all the trees of the forest. The results indicated that clay content in the soil was the most important attribute to explain the CO2 flux in the areas studied during the evaluated period. The use of the Random Forest algorithm originated a model with a good fit (R2 = 0.80) for predicted and observed values.

Prediction of soil CO2 flux in sugarcane management systems using the Random Forest approach

ABSTRACT: The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO2 flux. This study aimed to identify prediction of soil CO2 flux variables in management systems of sugarcane through the machine-learning algorithm called Random Forest. Two different management areas of sugarcane in the state of São Paulo, Brazil, were selected: burned and green. In each area, we assembled a sampling grid with 81 georeferenced points to assess soil CO2 flux through automated portable soil gas chamber with measuring spectroscopy in the infrared during the dry season of 2011 and the rainy season of 2012. In addition, we sampled the soil to evaluate physical, chemical, and microbiological attributes. For data interpretation, we used the Random Forest algorithm, based on the combination of predicted decision trees (machine learning algorithms) in which every tree depends on the values of a random vector sampled independently with the same distribution to all the trees of the forest. The results indicated that clay content in the soil was the most important attribute to explain the CO2 flux in the areas studied during the evaluated period. The use of the Random Forest algorithm originated a model with a good fit (R2 = 0.80) for predicted and observed values.

Nutrient limitation of soil microbial activity during the earliest stages of ecosystem development.

A dominant paradigm in ecology is that plants are limited by nitrogen (N) during primary succession. Whether generalizable patterns of nutrient limitation are also applicable to metabolically and phylogenetically diverse soil microbial communities, however, is not well understood. We investigated if measures of N and phosphorus (P) pools inform our understanding of the nutrient(s) most limiting to soil microbial community activities during primary succession. We evaluated soil biogeochemical properties and microbial processes using two complementary methodological approaches-a nutrient addition microcosm experiment and extracellular enzyme assays-to assess microbial nutrient limitation across three actively retreating glacial chronosequences. Microbial respiratory responses in the microcosm experiment provided evidence for N, P and N/P co-limitation at Easton Glacier, Washington, USA, Puca Glacier, Peru, and Mendenhall Glacier, Alaska, USA, respectively, and patterns of nutrient limitation generally reflected site-level differences in soil nutrient availability. The activities of three key extracellular enzymes known to vary with soil N and P availability developed in broadly similar ways among sites, increasing with succession and consistently correlating with changes in soil total N pools. Together, our findings demonstrate that during the earliest stages of soil development, microbial nutrient limitation and activity generally reflect soil nutrient supply, a result that is broadly consistent with biogeochemical theory.