A geostatistical approach to the field-scale pattern of heterotrophic soil CO2 emission using covariates

Herbst, Michael; Bornemann, Ludger; Graf, Alexander; Welp, Gerhard; Vereecken, Harry; Amelung, Wulf

doi:10.1007/s10533-011-9661-4

Cited by 29 publications

(19 citation statements)

References 49 publications

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“…The high CV value for FCO 2 , 37 %, is typical of this attribute as has been previously reported for a variety of soils and crop types (La Scala et al, 2000;Herbst et al, 2012). Panosso et al (2012), who studied the fractal dimension and anisotropy of soil respiration in a mechanically harvested sugarcane area, observed spatial variability of soil CO 2 emission was predominantly explained by changes in the oxygen level of the soil, as expressed by FWP.…”

Section: Resultssupporting

confidence: 74%

Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Bahia

Júnior

Panosso

et al. 2015

Sci. agric. (Piracicaba, Braz.)

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ABSTRACT:Soil CO 2 emission (FCO 2 ) is one of the main sources of carbon release into the atmosphere. Moreover, FCO 2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fe d ) contents, soil CO 2 emission (FCO 2 ) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharum spp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO 2 , moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto-and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO 2 . We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO 2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties.

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Section: Resultssupporting

confidence: 74%

Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Bahia

Júnior

Panosso

et al. 2015

Sci. agric. (Piracicaba, Braz.)

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“…3e), varying between 0.01 and 1.0. In an area of 182 m 2 , Herbst et al (2012) measured respiration in a 2-m grid and found a large contribution of the nugget to the total or sill variance (approximately >0.75) at a variance level comparable to our observations made on 8 June 2010 in the crop system (Fig. 4a).…”

Section: Spaial Behavior Of Carbon Dioxide Fluxsupporting

confidence: 83%

Spatial and Temporal Patterns of Carbon Dioxide Flux in Crop and Grass Land‐Use Systems

Kreba

Coyne

McCulley

et al. 2013

Vadose Zone Journal

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Understanding the field‐scale variability of CO2 fluxes in space and time under different land‐use conditions is important for designing efficient sampling schemes for monitoring C loss from soil. The objectives of this study were to characterize the variability structure of CO2 fluxes and its change throughout a year, evaluate the temporal stability of spatial CO2 flux patterns, and quantify relationships with biotic and abiotic factors in crop and grass systems. In an 80‐ by 60‐m field divided into grass and crop systems, CO2 fluxes were measured with a photo‐acoustic analyzer at 60 locations 22 times during a year. Soil respiration was high when it was warm and wet and low under cool and wet conditions. Measurements of CO2 flux were spatially and temporally dependent for a longer distance and time in the grass system than in the crop system. Spatial patterns of soil respiration were temporally stable, and the larger the average spatial CO2 flux, the more obvious was the temporal stability. The variation of soil respiration was more pronounced in time than in space during the study period. At each location, soil temperature was the major factor controlling the temporal variability of CO2 flux; however, soil temperature did not explain the spatial CO2 flux pattern. Land use impacted the spatial and temporal variability dynamics of CO2 flux. These dynamics should be taken into account for experimental design, the detection of spatial and temporal associations with other variables, and C loss prediction.

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“…He showed in growth experiments with soil extracted from different depths that ARD was mainly observed in 0-15 and 15-30 cm soil depth. As also many soil properties and functions are heterogeneous under field conditions (Bogena et al, 2010;Gebbers and Adamchuk, 2010;Herbst et al, 2012), the patchiness of ARD related growth depression in the field as reported above, likewise hints in the same direction. Interestingly, ARD is induced more rapidly if the site is replanted f r e q u e n t l y ( n u r s e r i e s ) c o m p a r e d t o s i t e s permanently used for apple production.…”

Section: The Role Of Spatial Distribution Of Relevant Parameterssupporting

confidence: 54%

“…Nevertheless, physical soil conditions may drive the survival and competitiveness of phytopathogenic or beneficial nematodes and also of microbial communities, i.e., they might affect the intensity and duration of ARD symptoms. And indeed, ARD has often been observed to occur heterogeneously at a given site, as do many soil properties (Bogena et al, 2010;Gebbers and Adamchuk, 2010;Herbst et al, 2012). Mazzola and Manici (2012) concluded that abiotic factors may exacerbate ARD but do not appear to function as the primary cause of the disease.…”

Section: Soil Properties Affecting Ardmentioning

confidence: 99%

Apple Replant Disease: Causes and Mitigation Strategies

Winkelmann¹,

Smalla²,

Amelung³

et al. 2019

Current Issues in Molecular Biology

104

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A geostatistical approach to the field-scale pattern of heterotrophic soil CO2 emission using covariates

Cited by 29 publications

References 49 publications

Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Spatial and Temporal Patterns of Carbon Dioxide Flux in Crop and Grass Land‐Use Systems

Apple Replant Disease: Causes and Mitigation Strategies

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