Publicado

2017-07-01

Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador

DOI:

https://doi.org/10.15446/acag.v66n3.52467

Palabras clave:

Calcination, combustion, DUMAS, LOI, organic material (en)
Calcination, combustion, DUMAS, LOI, organic material (es)

Autores/as

  • Franklin Enrique Cargua Catagña Universidad Nacional de Chimborazo (UNACH), Riobamba-Ecuador https://orcid.org/0000-0003-4487-9208
  • Marco Vinicio Rodríguez Llerena Universidad Nacional de Chimborazo (UNACH), Riobamba-Ecuador https://orcid.org/0000-0003-2492-2969
  • Diego Armando Damián Carrión Universidad Nacional de Chimborazo (UNACH), Riobamba-Ecuador
  • Celso Guillermo Recalde Moreno Universidad Nacional de Chimborazo (UNACH), Riobamba-Ecuador
  • Guido Patricio Santillán Lima Universidad Nacional de Chimborazo (UNACH), Riobamba-Ecuador

A relationship among total organic carbon content determined by ignition loss (LOI) and DUMAS combustion methods, were perfomed in evergreen Andean eyebrow forest soils, southwestern zone of Sangay National Park- Ecuador, where three conglomerates were established as follows: (C) with five plots (P) with plots of 20 x 20 m. In each plot, five digging trenches and four soil samples were carried out at different depths: 0-10, 10-20, 20-30 and> 30 cm, respectively. It is observed that the amount of total organic carbon obtained by the DUMAS and LOI method (R2 = 0.99) does not differ significantly. However, the DUMAS total organic carbon determination methodology showed greater precision with regard to LOI, thus becoming a good alternative to be used as a reference method. In addition, the operability in the laboratory is reflected in the reduction of time and optimization of the human resource. The correlation level shows a low level of significance among these methods, the variation is greater in the DUMAS method (3.38%), due to the analyzed volumes of the samples and the auxiliary equipment level of precision.

A relationship among total organic carbon content determined by ignition loss (LOI) and DUMAS combustion methods, were perfomed in evergreen Andean eyebrow forest soils, southwestern zone of Sangay National Park- Ecuador, where three conglomerates were established as follows: (C) with five plots (P) with plots of 20 x 20 m. In each plot, five digging trenches and four soil samples were carried out at different depths: 0-10, 10-20, 20-30 and> 30 cm, respectively. It is observed that the amount of total organic carbon obtained by the DUMAS and LOI method (R2 = 0.99) does not differ significantly. However, the DUMAS total organic carbon determination methodology showed greater precision with regard to LOI, thus becoming a good alternative to be used as a reference method. In addition, the operability in the laboratory is reflected in the reduction of time and optimization of the human resource. The correlation level shows a low level of significance among these methods, the variation is greater in the DUMAS method (3.38%), due to the analyzed volumes of the samples and the auxiliary equipment level of precision. 

Recibido: 11 de agosto de 2015; Aceptado: 10 de diciembre de 2015

Abstract

A relationship among total organic carbon content determined by ignition loss (LOI) and DUMAS combustion methods, were perfomed in evergreen Andean eyebrow forest soils, southwestern zone of Sangay National Park- Ecuador, where three conglomerates were established as follows: (C) with five plots (P) with plots of 20 x 20 m. In each plot, five digging trenches and four soil samples were carried out at different depths: 0-10, 10-20, 20-30 and> 30 cm, respectively. It is observed that the amount of total organic carbon obtained by the DUMAS and LOI method (R2 = 0.99) does not differ significantly. However, the DUMAS total organic carbon determination methodology showed greater precision with regard to LOI, thus becoming a good alternative to be used as a reference method. In addition, the operability in the laboratory is reflected in the reduction of time and optimization of the human resource. The correlation level shows a low level of significance among these methods, the variation is greater in the DUMAS method (3.38%), due to the analyzed volumes of the samples and the auxiliary equipment level of precision.

Keywords:

Calcination, combustion, DUMAS, LOI, organic material.

Resumen

Se evaluó la relación entre el contenido de carbono orgánico total, determinado mediante los métodos de pérdida por ignición (LOI) y combustión DUMAS, en suelos de bosque siempre verde de ceja andina, zona sur occidental del Parque Nacional Sangay-Ecuador; donde se establecieron tres conglomerados (C), con cinco parcelas (P) de 20 x 20 m. En cada parcela se realizaron cinco calicatas y cuatro muestras de suelo a diferentes profundidades: 0-10, 10-20, 20-30 y >30 cm, respectivamente. Se observó que la cantidad de carbono orgánico total obtenida por el método de DUMAS y LOI (R2 = 0.99) no difiere de manera significativa. Sin embargo, la metodología de determinación de carbono orgánico total DUMAS mostró mayor precisión respecto a LOI, convirtiéndose de esta forma en una buena alternativa para ser utilizado como método de referencia. Además la operatividad en el laboratorio se ve reflejada en la reducción de tiempo y optimización del recurso humano. El nivel de correlación muestra un bajo nivel de significancia entre estos métodos, la variación es mayor en el método de DUMAS (3.38%), debido a los volúmenes analizados de las muestras y el nivel de precisión de los equipos auxiliares.

Palabras clave:

calcinación, combustión, DUMAS, LOI, materia orgánica.

Introduction

The inter-Andean valley is characterized by soils of volcanic origin in the upper part, representing less than 1% of surface area, presenting high moisture retention capacity, low bulk density and high phosphate retention capacity (Gaitán & López, 2007). All this is mainly due to high organic carbon (CO) content, the main property of these soils. The organic matter (OM) of Andean Green Evergreen Soils from the Andean fringe, is characterized by the presence of carbonic substances, including microbial biomass, plant remains and decomposing animals and colloidal amorphous mixtures of complex organic substances of high molecular weight as follows: fulvic, humic and humic acids (Eyherabide, Saínz Rozas, Barbieri, & Echeverría, 2014). In addition, it forms soluble and insoluble complexes in water, interacts with clay minerals, forms aggregates, sorbs or releases organic compounds and nutrients from plants, retains water in the environment, among other characteristics (Martínez & Acevedo, 2008).

The edaphic OM is a key component of any terrestrial ecosystem (Batjes, 1996). Its determination is important to characterize a site, being considered as an indicator of soil quality (La Manna et al., 2007), influencing the soil microstructure (Vásquez-Polo, Macías-Vázquez, & Menjivar-Flores, 2014), due to its presence or absence, influences the reactions and chemical products found in the soil or sediment, determining its quality, sustainability and productive capacity (Martínez, et al., 2008).

The present study compares two methods of total organic carbon (TOC) determination in the soil: Ignition Loss (Loss on Ignition - LOI) and DUMAS combustion. The LOI method, is widely used to estimate the total carbon content of soils. The OM, is completely oxidized to carbon dioxide at 430° C in a muffle furnace for 24 h (La Manna et al., 2007). Weight loss during the reactions is easily measured by weighing the samples before and after heating, this value is closely correlated with the OM and the carbonate content of the sediment (Heiri et al., 2001). The DUMAS or dry combustion method is carried out at 950°C for an approximate time of 12 to 15 minutes and allows to determine the COT with more precision, but this method is more expensive since it requires the use of automated equipment and qualified personnel (Eyherabide et al., 2014).

The methods used in this research differ in both, the complexity and the time required for preparation and soil samples, which can be analyzed in a given time, analyzes cost, and others. The comparison made in this research will help to select the most efficient method to perform the analysis of COT present in the soil.

Materials and methods

Study Area

The research was carried out in the upper part of the native forest in the Guangra sector, located in the Achupallas parish, Alausí, province of Chimborazo, at an altitude of 3000 - 3400 m.a.s.l. (Figure 1).

Geographical location of the study area

Figure 1: Geographical location of the study area

Its biological classification corresponds to Evergreen Andean Forest of Andean fringe (Cueva et al., 2012). The data taken from the meteorological station (EMJ_Jubal_2013) Located at coordinates 9734269 N and 756205 E, at an altitude of 3462 m.a.s.l., it has an annual mean temperature in the sector of 8.3° C, with daily ranges ranging from 0 to 17° C and relative humidity of 83, 6%.

Soil sampling

A double-stratified sampling design was applied, consisting of two phases. During the first phase, a relatively large sample was systematically selected throughout the location. This sample was used to estimate the size or weight of the strata in relation to the population and sample. In the second phase, a smaller sample corresponding to the evergreen Andean forest of the Andean fringe, in which a conglomerate was selected (C) of 5 plots (P) in the shape of an "L" was established, with a dimension of 20 x 20 m. A distance among plots of 250 m (Figure 2).

Establishment of monitoring points

Figure 2: Establishment of monitoring points

Five plots were collected in each plot to collect 4 soil samples at different depths: 0-10; 10-20; 20-30 and> 30 cm, respectively.

Laboratory phase

For determination of the Total CO (TOC) by two evaluated methods, the collected samples were analyzed in the Laboratory of Environmental Services of the Universidad Nacional de Chimborazo (LSA - UNACH), Ecuador. For the LOI method, soil samples were dried in the oven at 105 oC for 24 hours and filtered through a 75 μm sieve. For the DUMAS combustion method, soil samples were dried in the oven at 105° C for two hours and filtered through a 200 μm sieve.

The determination of TOC by the DUMAS combustion method, was carried out in the Organic Elemental Analysis FLASH 2000 equipment, which uses high purity gases such as Oxygen (for the combustion chamber) and Helium (transport gas). The equipment was calibrated using 2-3 mg of the BBOT standard (6.51% N, 72.53% C, 6.09% H and 7.44% S). For the analysis of soil samples, were weighed of 10-15 mg of soil. The standard and samples were analyzed with addition of approximately 10 mg of vanadium pentoxide and burned in the furnace at a temperature of 950 °C for an approximate time of 12 to 15 minutes depending on the type of soil.

In order to determine the MO by the LOI method, 5 g of soil were weighed, the samples were placed in a muffle oven at 430 ºC for 15 minutes. Before weight determination the samples were placed in a desiccator with silica gel to reach room temperature and did not absorb moisture, the weight difference corresponds to the MO and the CO was determined by dividing the MO for the conversion factor of 1,724 (Martínez et al., 2008).

To estimate the TOC, the apparent density (AD) was first determined using the cylinder method of known volume (Andrade & Ibrahim, 2003), which consists of taking a soil sample into a metal ring of known volume at different depths (0 to> 30) cm. These samples were brought to constant weight in an oven with a temperature of 105 °C for 24 hours (Equation 1).

DA expressed in g.cm-3; Pss, is the weight of dry soil (g) and Vc, is volume of the cylinder (100 cm3). According to the percentage of CO and Da, the storage of organic carbon in soil (COS), was estimated using the methodology proposed by Andrade & Ibrahim (2003), (Equation 2).

Where: COS is expressed in (Mg C ha-1); Ps is the soil depth (cm), Da expressed in g.cm-3 and CO is the concentration of CO in soils (%).

Statistic analysis

For the research, the Complete Random Design (DCA) was used with four treatments and five replicates per plot, and for the whole cluster, treatments were four with three replicates, for the statistical analysis we used the analysis of variance (ADEVA). To compare the TOC quantified by the method of LOI and DUMAS statistical analysis was used in R version 3.1.3, of free use (Salas, 2008), Free distribution and command-based open source, in which all procedures and options can be accessed through computational syntax (Sosa, García, & Piña, 2010).

Results and discussion

The plots were georeferenced and distributed in sites accessible to the collection of soil samples (Table 1), in an altitudinal range that goes from 3140 to 3265 m.a.s.l., where we find a high biodiversity (Silva & Tonello, 2014), With a sandy loam type, granular structure, stoniness less than 5%, black coloration and large amount of organic matter (Cargua, Rodríguez, Recalde & Vinueza, 2014).

Table1. Georeferencing: of the monitoring points

Determination of edaphic carbon content by LOI

Applying the LOI methodology, carbon content (C) was determined in the soil, with a mean of 64.4 Mg C ha-1 in the cluster one, in the cluster two 63.3 Mg C ha-1 and for cluster three 61.7 Mg C ha-1, the largest TOC reserve is at C1 P5 with 271.77 Mg C ha-1, and the lowest in C3 P5 with 239.5 2 Mg C ha-1 (Table 2). The statistical analysis shows highly significant differences among depths and non-significant among plots, with a variation coefficient of 4.39%.

Table 2: Carbon stored in the Soil (Mg C ha-1) using LOI and DUMAS methods

Determination of edaphic carbon content by DUMAS

Soil depth influenced COT contents, finding more C stored in the surface layer with a tendency to decrease towards the lower layers, presenting highly significant differences (p <0.05) between 0-10,10-20, 20- 30 and> 30 cm, respectively (Table 2). The largest stored C stock is found in C1 P5 with 268.45 Mg C ha-1, and the lowest in C3 P5, with 234.34 Mg C ha-1 with a highly significant statistical variance among depths and plots with a variation coefficient of 5.01%.

Distribution of data using the method of LOI and DUMAS

The highest edaphic content is within the first 10 cm of the surface layer C1 P5 (Table 2), decreasing as the depth increases, obtaining the lowest TOC reserve at depths> 30 cm C2 P3 (Table 2), For the IOL method there is a difference of 44.5 Mg C ha-1, whereas for the DUMAS method its difference is 47.97 Mg C ha-1, observing that the TOC stabilizes from the 20 cm (Figure 3). Corroborating the results with the studies carried out by Carvajal, Feijoo, Quintero & Rondón (2009) and Ojeda, Stein & López-Hernández, (2009), where soil depth, influences the contents of organic matter, C and N stored in the surface layer, with a tendency to decrease towards the lower layers, with an increase in C edaphic for the first soil layers attributed to the microbial biomass accumulation of Fungi saprophytes, arbuscular mycorrhizae and ectomycorrhizae, and others.

Data distribution according to soil depth by LOI and DUMAS methods

Figure 3: Data distribution according to soil depth by LOI and DUMAS methods

Comparison method of LOI and DUMAS to obtain edaphic carbon

Sixty samples were taken, divided by depths as follows: 0-10, 10-20, 20-30,> 30 cm, respectively (Tables 1, 2), selected to cover a wide range of COT concentration (40 to 90 Mg C Ha-1). The linear relationship (Figure 4) between the methods used for soil TOC determination, performed in R version 3.1.3 (r), finding a significant correlation among methods. The amount of total CO by the DUMAS method, did not differ significantly from the LOI method by finding a R2 = 0.99.

Relationship of the TOC among LOI and DUMAS methods

Figure 4: Relationship of the TOC among LOI and DUMAS methods

The slope of the relationship among TOC determined by the LOI methodology and TOC determined by DUMAS method, did not differ (p> 0.5), indicating both methodologies do not support the quantification of TOC, which was reflected in the low variation coefficient among methods being less than 19%, presenting statistical differences, which not were significant among methods. However, variation coefficient for DUMAS method, was lower than obtained by LOI (Table 3).

Table 3: Statistical analysis of LOI and DUMAS methods

Ns: No Significant; DS deviation standard

Given these concerns, Eyherabide, Saínz Rozas, Barbieri & Echeverría (2014), maintaining a close relationship among soil TOC determined by DUMAS and LOI methods, although the former accuracy was higher, these differences could be explained by the intrinsic characteristics of each method since the method by DUMAS is automated and does not perceive human errors unlike the method by loss of Ignition is done manually.

Conclusion

The depth of the evergreen Andean forest influenced the TOC contents, finding more C stored in the surface layer with a tendency to decrease towards the lower layers, presenting highly significant differences (p <0.05), between 0-10, 10-20, 20-30 and> 30 cm, respectively, due to the fact that in this type of ecosystem, the environmental and climatic conditions, influences the capacity of a greater microbial activity by increasing the TOC in the soil.

The determination methodology for TOC by LOI, showed the greatest reserve of TOC, which is found in C1 P5 with 271.77 Mg C ha-1 and lowest concentration in C3 P5 with 239.52 Mg C ha-1. For DUMAS method, the largest stored C stock is found in C1 P5 with 268.45 Mg C ha-1 and the lowest, in C3 P5 with 234.34 Mg C ha-1.

The correlation level shows a low significance level among these methods, the variation is greater in DUMAS method (3.38%) due to the analyzed volumes of soil samples and precision level of the auxiliary equipment. Finally, both techniques produce comparable results, being the DUMAS method, which shows greater efficiency when analyzing a large number of samples with respect to LOI

Acknowledgements

To SENESCYT, considering the project code 200, as one of the winners in the 2010 call and to the Vice-Rectorate of Postgraduate and Research of the Universidad Nacional de Chimborazo, Ecuador

References

Andrade, H., & Ibrahim, M. (2003). ¿Cómo monitorear el secuestro de carbono en los sistemas silvopastoriles. Agroforestería en las Américas, 10(39),109-116. ftp://ftp.fao.org/docrep/nonfao/lead/x6378s/x6378s00.pdf.[Link]

Batjes, N. (1996). Total carbon and nitrogen in the soils of the world. Eur J Soil Sci, 47, 151 - 163. http://dx.doi.org/10.1111/ejss.12115 [Link]

Bravo-Realpe, I. S., Arboleda-Pardo, C. A., & Martín-Peinado, F. J. (2014). Efecto de la calidad de la materia orgánica asociada con el uso y manejo de suelos en la retención de cadmio, en sistemas altoandinos de Colombia. Acta Agron, 63(2), 164-174. https://doi.org/10.15446/acag.v63n2.39569 [Link]

Cargua, F., Rodríguez, M., Recalde, C., & Vinueza, L. (2014). Cuantificación del contenido de carbono en una plantación de pino insigne (Pinus radiata) y en estrato de páramo de ozogoche bajo, Parque Nacional Sangay, Ecuador. Información Tecnológica, 25(3), 83-92.

Carvajal, A., Feijoo, A., Quintero, H., & Rondón, M. (2009). Carbono orgánico del suelo en diferentes usos del terreno de paisajes andinos Colombianos. Ciencia del Suelo y Nutrición Vegetal, 9(3), 222-235.

Cueva, K., Añasco, M., Ordoñez, L., Salazar, X., Cisneros, C., & Segura, D. (2012). Manual de Campo proyecto Evaluación Nacional Forestal y el programa nacional conjunto ONU - REDD+ del Ministerio del Ambiente del Ecuador. Bajo la cooperación del Programa "Manejo Forestal Sostenible ante el Cambio Climatico". Quito: FAO Finlandia y el componente ONU REDD FAO. pp. 125.

Eyherabide, M., Saínz Rozas, H., Barbieri, P., & Echeverría, H. E. (2014). Comparación de métodos para determinar carbono orgánico en suelo. Cienc suelo, 32(1), 3-19.

Eyherabide, M., Saínz, H., Barbieri, P., & Echeverría, H. (2014). Comparación de métodos para determinar carbono orgánico en suelo. Cienc Suelo, 32(1),13-19.

Gaitán, J., & López, C. (2007). Análisis del gradiente edáfico en la región Andinopatagónica. Cienc Suelo , 25(1). 53-63.

Heiri, O., Lotter, A., & Lemcke, G. (2001). Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. J Paleolimnol, 25(1),101-110. https://doi.org/10.1023/A:1008119611481 [Link]

La Manna, L., Buduba, C., Alonso, V., Davel, M., Puentes, C., & Irisarri, J. (2007). Comparación de dos metodos analiticos para la determinación de materia orgánica en suelos de la región Andino-Patagónica: efectos de la vegetación y el tipo de suelo. Cienc Suelo , 25(2),179-188.

Martínez, E., Fuentes, J., & Acevedo, E. (2008). Carbono orgánico y propiedades del suelo. R C Suelo Nutr Veg, 8 (1), 68-96.

Ojeda, A., Stein, M., & López-Hernández, D. (2009). Secuestro de carbono orgánico y cambios de fertilidad en un ultisol de sabanas en la Amazonía Venezolana. Bioagro, 21(3).

Reeves, D. (1997). The role of soil organic matter in maintaining soil quality in continuous cropping systems. Soil Till Res, 43,131-167. https://doi.org/10.1016/S0167-1987(97)00038-X [Link]

Salas, C. (2008). ¿Por qué comprar un programa estadístico si existe R? Ecol Austral, 18(2). 223-231.

Silva, J. L., & Tonello, K. C. (2014). Morfometria da Bacia Hidrográfica do Ribeirão dos Pinheirinhos, Brotas-SP. . IRRIGA, 19(1), 103.

Sosa, M., García, R., & Piña, U. (2010). R: una herramienta poco difundida y muy útil para la investigación clínica. Rev Cubana Invest Bioméd, 29(2), 302-308.

Vásquez-Polo, J. R., Macías-Vázquez, F., & Menjivar-Flores, J. C. (2014). Formas de hierro y aluminio en suelos con diferentes usos en la zona norte del departamento del Magdalena, Colombia. Acta Agron , 63(4), 352-360. https://doi.org/10.15446/acag.v63n4.42038 [Link]

Referencias

Andrade, H., & Ibrahim, M. (2003). ¿ Cómo monitorear el secuestro de carbono en los sistemas silvopastoriles. Agroforestería en las Américas, 109-116.

Batjes, N. (1996). Total carbon and nitrogen in the soils of the world. Eur J Soil Sci, 47, 151 - 163. http://dx.doi.org/10.1111/ejss.12115

Bravo-Realpe, I. S., Arboleda-Pardo, C. A., & Martín-Peinado, F. J. (2014). Efecto de la calidad de la materia orgánica asociada con el uso y manejo de suelos en la retención de cadmio, en sistemas altoandinos de Colombia. Acta Agron, 63(2), 164-174. https://doi.org/10.15446/acag.v63n2.39569

Cargua, F., Rodríguez, M., Recalde, C., & Vinueza, L. (2014). Cuantificación del contenido de carbono en una plantación de pino insigne (Pinus radiata) y en estrato de páramo de ozogoche bajo, Parque Nacional Sangay, Ecuador. Información tecnológica, 25(3), 83-92.

Carvajal, A., Feijoo, A., Quintero, H., & Rondón, M. (2009). Carbono orgánico del suelo en diferentes usos del terreno de paisajes andinos Colombianos. ciencia del suelo y nutrición vegetal, 9(3), 222-235.

Cueva, K., Añasco, M., Ordoñez, L., Salazar, X., Cisneros, C., & Segura, D. (2012). Manual de Campo proyecto Evaluación Nacional Forestal y el programa nacional conjunto ONU – REDD+ del Ministerio del Ambiente del Ecuador. Bajo la cooperación del Programa “Manejo Forestal Sostenible ante el Cambio Climatico". Quito: FAO Finlandia y el componente ONU REDD FAO. pp. 125.

Eyherabide, M., Saínz Rozas, H., Barbieri, P., & Echeverría, H. E. (2014). Comparación de métodos para determinar carbono orgánico en suelo. Cienc suelo, 32(1), 3-19.

Eyherabide, M., Saínz, H., Barbieri, P., & Echeverría, H. (2014). Comparación de métodos para determinar carbono orgánico en suelo. Cienc Suelo, 32(1),13-19.

Gaitán, J., & López, C. (2007). Análisis del gradiente edáfico en la región Andinopatagónica. Cienc Suelo, 25(1). 53-63.

Heiri, O., Lotter, A., & Lemcke, G. (2001). Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. J Paleolimnol, 25(1),101–110. https://doi.org/10.1023/A:1008119611481

La Manna, L., Buduba, C., Alonso, V., Davel, M., Puentes, C., & Irisarri, J. (2007). Comparación de dos metodos analiticos para la determinación de materia orgánica en suelos de la región Andino-Patagónica: efectos de la vegetación y el tipo de suelo. Cienc Suelo, 25(2),179-188.

Martínez, E., Fuentes, J., & Acevedo, E. (2008). Carbono orgánico y propiedades del suelo. R C Suelo Nutr Veg, 8 (1), 68-96.

Ojeda, A., Stein, M., & López-Hernández, D. (2009). Secuestro de carbono orgánico y cambios de fertilidad en un ultisol de sabanas en la Amazonía Venezolana. Bioagro, 21(3).

Reeves, D. (1997). The role of soil organic matter in maintaining soil quality in continuous cropping systems. Soil Till Res, 43,131-167. https://doi.org/10.1016/S0167-1987(97)00038-X

Salas, C. (2008). ¿Por qué comprar un programa estadístico si existe R? Ecol Austral, 18(2). 223-231.

Silva, J. L., & Tonello, K. C. (2014). Morfometria da Bacia Hidrográfica do Ribeirão dos Pinheirinhos, Brotas–SP. . IRRIGA, 19(1), 103.

Sosa, M., García, R., & Piña, U. (2010). R: una herramienta poco difundida y muy útil para la investigación clínica. Rev Cubana Invest Bioméd, 29(2), 302-308.

Vásquez-Polo, J. R., Macías-Vázquez, F., & Menjivar-Flores, J. C. (2014). Formas de hierro y aluminio en suelos con diferentes usos en la zona norte del departamento del Magdalena, Colombia. Acta Agron, 63(4), 352-360. https://doi.org/10.15446/acag.v63n4.42038

Cómo citar

APA

Cargua Catagña, F. E., Rodríguez Llerena, M. V., Damián Carrión, D. A., Recalde Moreno, C. G. y Santillán Lima, G. P. (2017). Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador. Acta Agronómica, 66(3), 408–413. https://doi.org/10.15446/acag.v66n3.52467

ACM

[1]
Cargua Catagña, F.E., Rodríguez Llerena, M.V., Damián Carrión, D.A., Recalde Moreno, C.G. y Santillán Lima, G.P. 2017. Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador. Acta Agronómica. 66, 3 (jul. 2017), 408–413. DOI:https://doi.org/10.15446/acag.v66n3.52467.

ACS

(1)
Cargua Catagña, F. E.; Rodríguez Llerena, M. V.; Damián Carrión, D. A.; Recalde Moreno, C. G.; Santillán Lima, G. P. Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador. Acta Agron. 2017, 66, 408-413.

ABNT

CARGUA CATAGÑA, F. E.; RODRÍGUEZ LLERENA, M. V.; DAMIÁN CARRIÓN, D. A.; RECALDE MORENO, C. G.; SANTILLÁN LIMA, G. P. Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador. Acta Agronómica, [S. l.], v. 66, n. 3, p. 408–413, 2017. DOI: 10.15446/acag.v66n3.52467. Disponível em: https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/52467. Acesso em: 31 ago. 2024.

Chicago

Cargua Catagña, Franklin Enrique, Marco Vinicio Rodríguez Llerena, Diego Armando Damián Carrión, Celso Guillermo Recalde Moreno, y Guido Patricio Santillán Lima. 2017. «Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador». Acta Agronómica 66 (3):408-13. https://doi.org/10.15446/acag.v66n3.52467.

Harvard

Cargua Catagña, F. E., Rodríguez Llerena, M. V., Damián Carrión, D. A., Recalde Moreno, C. G. y Santillán Lima, G. P. (2017) «Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador», Acta Agronómica, 66(3), pp. 408–413. doi: 10.15446/acag.v66n3.52467.

IEEE

[1]
F. E. Cargua Catagña, M. V. Rodríguez Llerena, D. A. Damián Carrión, C. G. Recalde Moreno, y G. P. Santillán Lima, «Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador», Acta Agron., vol. 66, n.º 3, pp. 408–413, jul. 2017.

MLA

Cargua Catagña, F. E., M. V. Rodríguez Llerena, D. A. Damián Carrión, C. G. Recalde Moreno, y G. P. Santillán Lima. «Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador». Acta Agronómica, vol. 66, n.º 3, julio de 2017, pp. 408-13, doi:10.15446/acag.v66n3.52467.

Turabian

Cargua Catagña, Franklin Enrique, Marco Vinicio Rodríguez Llerena, Diego Armando Damián Carrión, Celso Guillermo Recalde Moreno, y Guido Patricio Santillán Lima. «Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador». Acta Agronómica 66, no. 3 (julio 1, 2017): 408–413. Accedido agosto 31, 2024. https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/52467.

Vancouver

1.
Cargua Catagña FE, Rodríguez Llerena MV, Damián Carrión DA, Recalde Moreno CG, Santillán Lima GP. Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador. Acta Agron. [Internet]. 1 de julio de 2017 [citado 31 de agosto de 2024];66(3):408-13. Disponible en: https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/52467

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CrossRef citations7

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6. Jaime Izquierdo Bautista, John Jairo Arévalo Hernández. (2021). Determinación del carbono orgánico por el método químico y por calcinación. Ingeniería y Región, 26, p.20. https://doi.org/10.25054/22161325.2527.

7. V.G. Maguire, A.A. Rodríguez, J.P. Ezquiaga, N. Salas, M. Gortari, N. Ayub, P.J. Bouilly, F.M. Romero, A. Gárriz, O.A. Ruiz. (2022). Analysis of the contribution of Lotus corniculatus to soil carbon content in a rice-pasture rotation system. Agriculture, Ecosystems & Environment, 340, p.108159. https://doi.org/10.1016/j.agee.2022.108159.

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