Scale-dependent variability of soil organic carbon coupled to land use and land cover

Xiong, Xiaozhen; Grunwald, Sabine; Corstanje, Ronald; Yu, Chansu; Bliznyuk, Nikolay

doi:10.1016/j.still.2016.03.001

Cited by 15 publications

(11 citation statements)

References 34 publications

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“…Hence, we were able to confirm that AC-based C budgets are able to reveal small-scale spatial differences and short-term temporal dynamics of SOC. al., 2011;Doetterl et al, 2016;Stockmann et al, 2015;Van Oost et al, 2007;Xiong et al, 2016). Detecting the development of soil organic carbon stocks ( SOC) in agricultural landscapes needs to consider three major challenges: first, the high small-scale spatial heterogeneity of SOC (e.g., Conant et al, 2011;Xiong et al, 2016).…”

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confidence: 99%

“…al., 2011;Doetterl et al, 2016;Stockmann et al, 2015;Van Oost et al, 2007;Xiong et al, 2016). Detecting the development of soil organic carbon stocks ( SOC) in agricultural landscapes needs to consider three major challenges: first, the high small-scale spatial heterogeneity of SOC (e.g., Conant et al, 2011;Xiong et al, 2016). Erosion and land use change reinforce natural spatial and temporal variability, especially in hilly landscapes such as hummocky ground moraines where correlation lengths in soil parameters of 10-30 m are very common.…”

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Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

et al. 2017

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Abstract. Carbon (C) sequestration in soils plays a key role in the global C cycle. It is therefore crucial to adequately monitor dynamics in soil organic carbon ( SOC) stocks when aiming to reveal underlying processes and potential drivers. However, small-scale spatial (10-30 m) and temporal changes in SOC stocks, particularly pronounced in arable lands, are hard to assess. The main reasons for this are limitations of the well-established methods. On the one hand, repeated soil inventories, often used in long-term field trials, reveal spatial patterns and trends in SOC but require a longer observation period and a sufficient number of repetitions. On the other hand, eddy covariance measurements of C fluxes towards a complete C budget of the soil-plant-atmosphere system may help to obtain temporal SOC patterns but lack small-scale spatial resolution.To overcome these limitations, this study presents a reliable method to detect both short-term temporal dynamics as well as small-scale spatial differences of SOC using measurements of the net ecosystem carbon balance (NECB) as a proxy. To estimate the NECB, a combination of automatic chamber (AC) measurements of CO 2 exchange and empirically modeled aboveground biomass development (NPP shoot ) were used. To verify our method, results were compared with SOC observed by soil resampling.Soil resampling and AC measurements were performed from 2010 to 2014 at a colluvial depression located in the hummocky ground moraine landscape of northeastern Germany. The measurement site is characterized by a variable groundwater level (GWL) and pronounced small-scale spatial heterogeneity regarding SOC and nitrogen (Nt) stocks. Tendencies and magnitude of SOC values derived by AC measurements and repeated soil inventories corresponded well. The period of maximum plant growth was identified as being most important for the development of spatial differences in annual SOC. Hence, we were able to confirm that AC-based C budgets are able to reveal small-scale spatial differences and short-term temporal dynamics of SOC.

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Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

et al. 2017

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“…La acumulación de la varianza proveniente de las diferentes escalas de muestreo estudiadas y aplicadas, determina la varianza total de una variable (Webster et al, 2006;Lark, 2011). En particular, cada componente de varianza en relación a la varianza del proceso, puede ser asociado a la escala o intervalo de muestreo usado, proporcionando una aproximación al variograma, y con ello la dependencia espacial de una variable puede ser estimada para subsecuentemente realizar un muestreo espacial a distancias regulares y calcular más acertadamente el variograma (Córdova et al, 2012;Córdova et al, 2016;Xiong et al, 2016), y consecuentemente usar técnicas de interpolación espacial para determinar áreas similares y distintas dentro de un sitio o región de estudio. El estudio de varios intervalos de distancia simultáneamente reduce el costo de la aplicación de un muestreo sin información sobre la escala de variación de una variable (Xiong et al, 2016).…”

Section: Introductionunclassified

Dependencia Espacial Del Potencial De Nitrógeno Disponible Del Suelo en Dos Sitios Contrastantes

Córdova

Magna

Barrera

et al. 2020

Chil. j. agric. anim. sci.

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RESUMENLa alta variabilidad del nitrógeno (N) en el suelo afecta la aplicación efectiva de fertilizantes nitrogenados. El objetivo de esta investigación fue determinar y evaluar la dependencia espacial del N en dos tipos de suelo. Para ello se utilizó un diseño espacial anidado optimizado, con 16 estaciones de muestreo, y en direcciones aleatorias se tomaron muestras de suelo (0-23 cm) a intervalos de distancia de 1,5; 4,5; 13,5; 40,5; y 121,5 m. Los suelos evaluados fueron un Andisol y un Inceptisol (2 x n = 98), en los que se midió el potencial de nitrógeno disponible (PND) a través de incubación anaeróbica de suelo por 7 días a 40 o C (PND = NH 4 + día 7 -NH 4 + día 1). La dependencia espacial del PND en cada uno de los sitios fue establecida mediante la acumulación de varianza de cada distancia, calculada a través de un análisis de máxima probabilidad residual (REML), y posterior aproximación al variograma. Los resultados mostraron un rango amplio de valores en ambos sitios. El sitio Andisol registró un elevado PND, con un valor promedio de 32,92 mg NH 4 + kg -1 , cinco veces mayor que en el Inceptisol, lo que se explicó principalmente por un mayor contenido de materia orgánica. La dependencia espacial del PND para ambos sitios se obtuvo a intervalos de 13,5 y 40,5 m, logrando cuantificar un 59% de la variabilidad del proceso en el sitio Andisol, y tan sólo un 35% en el sitio Inceptisol.Palabras clave: suministro de nitrógeno del suelo, Andisol, Inceptisol, variograma, muestreo anidado. ABSTRACTSoil nitrogen (N) variability affects the effective application of N fertilizers. The objective of this research was to determine and assess the spatial dependence of soil N in two different soils using spatial sampling and geostatistics fundamentals. An optimized nested sampling design was applied in two sites, using 16 main stations from where soil samples (0 -23 cm) were obtained at 1.5, 4.5, 13.5, 40.5, and 121.5 m, at random directions. Soil samples were collected from an Andisol and an Inceptisol (2 x n = 98), and the potentially available N (PAN) was measured by anaerobic soil incubation for 7 days at 40 o C (PAN = NH 4 + day 7 -NH 4 + day 1). The PAN variance components from each distance were calculated by residual maximum likelihood (REML), and then accumulated to plot an approach to the variogram. The results showed a wide range of values for PAN at both sites. The Andisol site registered high PAN levels, with a mean value of 32.92 mg NH 4 + kg soil -1 , which was five times larger than in the Inceptisol soil, probably associated with a larger soil organic matter content. The limit of the spatial dependence was 13.5 m for the Andisol, and 40.5 m for the Inceptisol soil, corresponding to the 59% and 35% of the process variance, respectively.

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“…Soils are the largest terrestrial reservoirs of organic carbon (SOC), storing two to three times as much C as the atmosphere and biosphere (Chen et al, 2015;Lal et al, 2004). In the context of climate change mitigation as well as soil fertility and food security, there has been considerable interest in the development of SOC, especially in erosion-affected agricultural landscapes (Berhe and Kleber, 2013;Conant et al, 2011;Doetterl et al, 2016;Stockmann et al, 2015;Van Oost et al, 2007;Xiong et al, 2016). Detecting the development of soil organic carbon stocks (∆SOC) in agricultural landscapes needs to consider three major challenges: First, the high small-scale spatial heterogeneity of SOC (e.g., Conant et al, 2010;Xiong et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In the context of climate change mitigation as well as soil fertility and food security, there has been considerable interest in the development of SOC, especially in erosion-affected agricultural landscapes (Berhe and Kleber, 2013;Conant et al, 2011;Doetterl et al, 2016;Stockmann et al, 2015;Van Oost et al, 2007;Xiong et al, 2016). Detecting the development of soil organic carbon stocks (∆SOC) in agricultural landscapes needs to consider three major challenges: First, the high small-scale spatial heterogeneity of SOC (e.g., Conant et al, 2010;Xiong et al, 2016). Erosion and land use change reinforce natural spatial and temporal variability, especially in hilly landscapes such as hummocky ground moraines where correlation lengths in soil parameters of 10-30 m are very common.…”

Section: Introductionmentioning

confidence: 99%

Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

Hoffmann¹,

Jurisch²,

Alba³

et al. 2016

Preprint

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Abstract. Carbon (C) sequestration in soils plays a key role in the global C cycle. It is therefore crucial to adequately monitor dynamics in soil organic carbon (&#8710;SOC) stocks when aiming to reveal underlying processes and potential drivers. However, small-scale spatial and temporal changes in SOC stocks, particularly pronounced on arable lands, are hard to assess. The main reasons for this are limitations of the well-established methods. On the one hand, repeated soil inventories, often used in long-term field trials, reveal spatial patterns and trends in &#8710;SOC but require a longer observation period and a sufficient number of repetitions. On the other hand, eddy covariance measurements of C fluxes towards a complete C budget of the soil-plant-atmosphere system may help to obtain temporal &#8710;SOC patterns but lack small-scale spatial resolution. To overcome these limitations, this study presents a reliable method to detect both short-term temporal as well as small-scale spatial dynamics of &#916;SOC. Therefore, a combination of automatic chamber (AC) measurements of CO2 exchange and empirically modeled aboveground biomass development (NPPshoot) was used. To verify our method, results were compared with &#916;SOC observed by soil resampling. AC measurements were performed from 2010 to 2014 under a silage maize/winter fodder rye/sorghum-Sudan grass hybrid/alfalfa crop rotation at a colluvial depression located in the hummocky ground moraine landscape of NE Germany. Widespread in large areas of the formerly glaciated Northern Hemisphere, this depression type is characterized by a variable groundwater level (GWL) and pronounced small-scale spatial heterogeneity in soil properties, such as SOC and nitrogen (Nt). After monitoring the initial stage during 2010, soil erosion was experimentally simulated by incorporating topsoil material from an eroded midslope soil into the plough layer of the colluvial depression. SOC stocks were quantified before and after soil manipulation and at the end of the study period. AC-based &#8710;SOC values corresponded well with the tendencies and magnitude of the results observed in the repeated soil inventory. The period of maximum plant growth was identified as being most important for the development of spatial differences in annual &#916;SOC. Hence, we were able to confirm that AC-based C budgets are able to reveal small-scale spatial and short-term temporal dynamics of &#8710;SOC.

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Scale-dependent variability of soil organic carbon coupled to land use and land cover

Abstract: 2016-11-03T14:11:40

Cited by 15 publications

References 34 publications

Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

Dependencia Espacial Del Potencial De Nitrógeno Disponible Del Suelo en Dos Sitios Contrastantes

Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

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