Abstract
Soil contains almost twice as much carbon (C) as the atmosphere and 5–15% of soil C is stored in a form of particulate organic matter (POM). Particulate organic matter C is regarded as one of the most labile components of the soil C, such that can be easily lost under right environmental settings. Conceptually, micro-environmental conditions are understood to be responsible for protection of soil C. However, quantitative knowledge of the specific mechanisms driving micro-environmental effects is still lacking. Here we combined CO2 respiration measurements of intact soil samples with X-ray computed micro-tomography imaging and investigated how micro-environmental conditions, represented by soil pores, influence decomposition of POM. We found that atmosphere-connected soil pores influenced soil C’s and especially POM’s, decomposition. In presence of such pores losses in POM were 3–15 times higher than in their absence. Moreover, we demonstrated the presence of a feed-forward relationship between soil C decomposition and pore connections that enhance it. Since soil hydrology and soil pores are likely to be affected by future climate changes, our findings indicate that not-accounting for the influence of soil pores can add another sizable source of uncertainty to estimates of future soil C losses.
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Introduction
Soil is a key component of terrestrial ecosystems that contains almost twice as much carbon (C) as atmosphere; and it is the C that can be easily lost under right environmental settings1,2. Thus, understanding the mechanisms of C protection in soil is imperative for mitigation of climate change effects.
Lately, the concept of physical protection as the key driver of soil C’s fate has gained wide recognition3,4,5. Physical protection is enabled by inaccessibility of soil C to microbial decomposers and their enzymes4. At micro-scales soil consists of diverse micro-environments generating a wide range of conditions for C accessibility to microbial decomposers and for microbial functioning6. At a scale of a few microns (<10 μm) soil textural and mineralogical characteristics, e.g., presence of clay and its minerology, play an important role in driving physical protection by affecting organic matter interactions with soil minerals7. However, at a 10–1000 μm scale, soil C protection becomes largely a function of a physical disconnect between the organic matter and its decomposers. Thus, at this scale C protection is governed by soil structure, a.k.a. abundance, spatial arrangements and characteristics of soil pores8,9,10. Soil aggregates, the building blocks of soil structure and their internal pore characteristics, is what creates the physical micro-environments enabling or disabling connections and thus plays a major role as both an arena and a product of soil C stabilization and dynamics11,12.
In order to understand, quantify and model processes involved in physical protection it is necessary to look at them at the scale at which they occur13, that is, at a micro-scale. Even though conceptual understanding has been attained, the exact mechanisms enabling physical protection remain insufficiently lucid for their quantitative representation in process-based models; the crucial tools for assessing C cycle under future climate and for developing climate change mitigation strategies7. It is expected that changing climate will intensify water cycle in temperate regions14. Resultant greater frequencies of soil drying-wetting events will affect soil pore formation and characteristics. How changes in soil pores will influence protection of soil C is unclear, contributing yet another unknown to assessments of future C cycle.
At present, majority of soil physical protection research focuses on a concept of protection via intra-aggregate occlusion15. While of great value to facilitate general understanding, this concept does not allow explicit accounting for the actual mechanics of the accessibility process, which is driven by pore network characteristics. In order to be able to quantify and model processes involved in physical protection it is crucial to study the soil with the actual pore structure, i.e., its micro-environmental conditions, being intact16.
The component of major importance for soil C processes is particulate organic matter (POM). Particulate organic matter consists of undecomposed remnants of plants and animals and is regarded as most labile component of the soil organic matter17. It is also the component that is most sensitive to changes in soil use and management and, moreover, the component that can be easily lost or likewise easily protected under right micro-environmental conditions17. Carbon from POM can constitute a substantial portion, i.e., 5–15%, of soil organic C18, which on the global scale translates into as much as 75–230 Pg of highly decomposition conditions sensitive POM C stored in soil.
Soil C processes are known to be greatly affected by levels of soil disturbance, diversity of plant inputs and duration of live vegetation cover19. Thus we explored the role of soil pores in protecting C in soils under contrasting disturbance and vegetation settings: (i) conventionally tilled and managed agricultural soil in a row crop rotation (CT); (ii) organically managed agricultural soil with winter cover crops added to the rotation (CT-cover); and (iii) soil from the land converted to native succession vegetation (NS). The practices range from high soil disturbance with minimal plant diversity and minimal duration of vegetative soil cover (CT) to high soil disturbance but greater plant diversity and nearly continuous vegetative soil cover (CT-cover) to no soil disturbance with maximum plan diversity and continuous vegetative soil cover (NS).
To determine the role of pore characteristics in decomposition of soil organic matter, we conducted long term (120 day) incubations of intact soil macro-aggregates (n = 30), 4–6 mm in size. The aggregates were subjected to X-ray computed micro-tomography (μCT) scanning before and after the incubation (Fig. 1a). The aggregates used in the study were representative bodies of the intact soil matrix. As such, they offered an averaging compromise between enhanced C protection reported to take place within soil micro-aggregates15 and a lack of C protection in un-aggregated soil. The size of the studied samples enabled us to combine high resolution (13 μm) μCT scanning with high quality soil respiration measurements. The incubations were conducted at soil moisture and temperature settings optimal for organic matter decomposition20. Detailed examinations of the pore characteristics and changes in them as a result of the incubation were performed in each individual aggregate, a.k.a. intact soil sample (Fig. 1b).
We focused on (i) the cumulative amount of CO2-C emitted during the incubation as an indicator of the gross heterotrophic activity of soil microorganisms and on (ii) decomposition of POM. Using X-ray images we determined locations and sizes of POM fragments within the intact soil samples21, the pore characteristics associated with POM and the changes in POM and pore characteristics that took place during the incubation (Fig. 1c, Supplementary information Movie 1).
We hypothesized that greater presence and greater connectedness of soil pores will lead to greater decomposition of intra-aggregate organic matter, including overall soil organic matter, as reflected by CO2-C emissions, as well as POM. Previously published works22,23,24,25 indicated that presence of medium sized pores (15–60 μm) can be particularly detrimental to soil organic matter protection, as such pores are the places of greater microbial abundance and activity23,24 and of greater organic matter decomposition25. Thus we also hypothesized that especially substantial losses in the studied intact samples will be associated with a greater presence of such pores.
Results
Particulate organic matter and its changes during incubation
The overall contents of POM and of POM of root origin in the samples from the studied practices followed the order of NS ≥ CT-cover > CT (p < 0.05) (Table 1). The same pattern for the three studied practices was also observed for the total soil C and for the cumulative amount of CO2-C emitted during the 120 day incubations (Table 1).
Decomposition of POM contributed to the overall decomposition process, as POM losses were positively associated with the cumulative amount of CO2-C emitted during the incubation (Fig. 2). Numeric positive trends were present in all three practices, while the associations between POM C losses and emitted CO2-C were statistically significant in CT and NS (p < 0.1). The estimated amount of POM C lost from the intact soil samples ranged from 7 to 30% of the cumulative emitted CO2-C (Table 1). The POM C losses were significantly higher in CT-cover than in CT and NS practices (p < 0.05).
Whether or not POM fragments would decompose within an intact soil sample and thus contribute to the CO2 emission, was related to presence/absence of connections between POM and the outside atmosphere (Fig. 3). In all three practices the losses of POM fragments connected to the atmosphere were significantly greater than zero (p < 0.05). The losses of POM not connected to the atmosphere were either negligible, as in CT and NS practices, or low as in the CT-cover practice.
Across all studied aggregates POM losses during the incubation were positively correlated with the percent of atmosphere-connected >13 μm pores (R2 = 0.14, p < 0.05) (Fig. 4a). No differences could be distinguished between the relationships of POM losses vs. atmosphere-connected pores in individual practices, thus the data from all three practices were combined in a single regression analysis.
Pores and their changes during incubation
The three studied practices differed in terms of total porosity, presence of pores < 13 μm and in presence and size distribution of pores >13 μm (Table 2). The aggregates from the two conservational practices, i.e., NS and CT-cover, had higher total porosity than the conventionally managed CT practice (p < 0.05). The undisturbed native vegetation NS practice had significantly higher percent of small pores ( < 13 μm) than the two agricultural practices, i.e., CT and CT-cover (p < 0.05). NS had significantly greater abundance of 13–32 μm pores than CT practice (p < 0.05). CT-cover had significantly greater abundance of >84 μm pores than CT and NS practices.
Incubation led to an overall increase in >13 μm pores in CT-cover and NS practices, while the percent of such pores did not change significantly in the CT practice (p < 0.05). Particularly substantial increases were observed in pores of 13–58 μm range (Table 2). In all three studied practices we observed an increase in presence of 13–32 μm pores (p < 0.05). Presence of 32–58 μm pores increased in CT-cover and NS and presence of 58–84 μm pores increased in the CT-cover practice (p < 0.05).
Noticeable increases in the atmosphere-connected pores were observed only in two of the studied CT aggregates, while in the majority of CT-cover and NS aggregates presence of such pores increased significantly (Fig. 4b). Across all three practices the change in the presence of atmosphere-connected pores was positively associated with the POM losses during the incubation (R2 = 0.21, p < 0.05) (Fig. 4b). That is, the greater amount of POM was lost during incubation the greater was an increase in presence of atmosphere-connected pores.
Associations between pores and CO2-C emissions during the incubation
The pore network characteristics that influenced CO2-C emission differed in NS, the practice where soil was not disturbed for >25 years, compared to soils of the annually plowed CT and CT-cover practices. Specifically, in NS the presence of atmosphere-connected medium-sized pores (32–58 μm) was positively correlated with emitted CO2-C (R2 = 0.35, p < 0.05) (Fig. 5a). However, no such associations were observed in samples from CT and CT-cover practices.
Moreover, in NS samples, the magnitude of decomposition processes itself affected creation of new atmosphere-connected 32–58 μm pores (Fig. 5b). The greater were the amounts of CO2-C emitted during the incubation the greater was the increase in occurrence of atmosphere-connected 32–58 μm pores (R2 = 0.41, p < 0.05) (Fig. 5b).
In both agricultural management practices, i.e., CT and CT-cover, the presence of small <13 μm pores appeared to be important in defining the overall decomposition (Fig. 6). Positive associations between presence of such pores and the cumulative CO2-C emissions were observed in both CT (R2 = 0.45, p < 0.05) and CT-cover (R2 = 0.41, p < 0.05). No such correlation was observed in NS samples.
Discussion
The study findings supported our hypothesis that greater presence and greater connectedness of soil pores will lead to greater decomposition of intra-aggregate organic matter, reflected by both CO2-C emissions and by losses of POM. However, land use and management history affected the strength and magnitude of the pore-decomposition relationships.
Across all three studied practices, POM connected to the atmosphere by pores >13 μm in diameter lost 5–15% of its volume, while POM without such connections remained effectively intact in most of the studied samples (Fig. 3). The greater was decomposition of POM during the incubation the larger was a subsequent increase in presence of >13 μm pores, especially, of the atmosphere-connected pores. This trend was most pronounced in the practices with greater plant diversity and longer vegetation coverage, i.e., CT-cover and NS (Figs. 4 and 5, Table 2). These are also the practices that over-time retained and even accumulated soil C26,27 and tended to have greater POM contents and greater percent of POM represented by plant root residues (Table 1). On the other hand, in practices subjected to regular mechanical disturbance by tillage, i.e., CT and CT-cover, the presence of small < 13 μm pores appeared to be important in defining the overall C decomposition (Fig. 6).
As expected, the overall CO2-C emissions and POM decomposition were linked to each other. It is likely that certain amount of C from the decomposed POM moved into and remained in the adjacent soil as hydrophilic intermediate products of decomposition28. However, positive association between POM losses and the cumulative emitted CO2-C indicates that at least some of the POM in the intact soil samples decomposed completely and was lost to atmosphere as CO2 (Fig. 2).
These observations point to presence of a positive feedback mechanism in contributions of >13 μm pores to protection vs. decomposition of soil C, specifically soil POM (Fig. 5). The more atmosphere-connected POM is, the more it will decompose and greater decomposition produces yet greater connectedness. Large pores provide greater oxygen supply to ensure more complete decomposition of the organic material, while greater air diffusion through the large pores results in a faster escape of the generated CO2. Gases produced during decomposition create yet more pores on their escape8,29,30,31, in particular, medium-sized pores of 13–58 μm range. Pore forming root activities and greater POM contents in soils under prolonged live vegetation, i.e., in CT-cover and NS practices, apparently enhance the magnitude of these processes.
Another possible contributor to the pore-C decomposition feedback mechanism is presence of non-particulate labile C in soil matrix. Soils under long term native vegetation not subjected to mechanical disturbance, i.e., NS, contain substantial quantities of it32. Formation of medium-sized pores in a course of incubation likely increased access of microbial decomposers to such labile C sources, still further speeding up soil organic matter decomposition (Fig. 5). Importance of pores of this size range (e.g., 32–58 μm) for soil C processes has been demonstrated before22,25, both in terms of serving as conduits for fluxes9 and as environments preferred by certain microbial communities23. Our results indicate that in undisturbed soils of native vegetation systems such pores can serve as effective avenues of greater C losses.
Implementation of X-ray μCT tools and reliance on structurally intact soil samples enabled us to generate a new perspective on significance of pore characteristics for soil C protection; the perspective that at present is overlooked because of traditional experimental focus on structurally disturbed (ground and sieved) soil samples.
It should be noted that pores are only one of the many influences affecting C processes within each intact aggregate. Nature, origin and decomposition status of POM are known to play a very important role in the rates of its decomposition and protection33. For example, a POM fragment of pyrogenic origin has a much greater resistivity to decomposition than a POM fragment originated from recently added plant residue34. Unfortunately, as of now there are no effective experimental tools for in situ determination of POM nature and origin in intact soil samples. Thus, given a wide range of factors potentially contributing to POM decomposition and CO2 emission in the intact soil samples of this study, it would be unrealistic to expect strong correlations between these variables and any contributing factor individually. Even though the relationships with pore characteristics observed in our study are not strong numerically, the fact that they are statistically significant and are consistent with our ad-hoc postulated research hypotheses provides a solid backing to the main conclusions of this study on the role of pores in soil C protection and decomposition.
Our findings show that accounting for the contribution of pore connectivity is particularly important for evaluating the fate of soil POM. Based on our results, a conservative estimate is that approximately 10% of soil POM is currently being protected due to lack of pore accessibility. This constitutes ~8 Pg of C, the amount comparable to that produced globally by fossil fuel combustion. Thus even a minor increase in decomposition rates of such POM can have a major effect on global C balance.
Methods
Soil samples were collected from the Long Term Ecological Research (LTER) site at the W. K. Kellogg Biological Station (KBS), Michigan, USA (85°24′ W, 42°24′ N). The soil is Kalamazoo loam (fine-loamy, mixed, mesic, Typic Hapludalf), developed on glacial outwash. The KBS-LTER experiment was established in 1988 (for details on site description, experimental design and research protocols see http://lter.kbs.msu.edu). The three land use and management practices studied are a conventional tillage (chisel-plowed) corn-soybean-wheat rotation with conventional chemical inputs (CT), a certified organic conventional tillage (chisel-plowed) corn-soybean-wheat rotation with red clover cover crop (CT-cover) and native succession vegetation treatment removed from agricultural production in 1989 (NS).
To procure intact soil samples for this study soil blocks (approximately 15 × 15 × 15cm in size) were taken from the top soil layer (i.e., 0–15 cm depth) and dry-sieved. Intact aggregates 4–6.3 mm in size were retained for further analysis22. Ten randomly selected aggregates, i.e., intact soil samples, from each treatment were selected. The intact soil samples were scanned, subjected to 120 day incubation and scanned again.
Scanning was conducted on the bending magnet beam line, station 13-BM-D of the GeoSoilEnvironCARS (GSECARS) at the Advanced Photon Source (APS), Argonne National Laboratory (ANL), IL. Data were collected with the Si (111) double crystal monochromator tuned to 28 keV incident energy, the distance from sample to source was approximately 55 m and the X-ray doze is estimated to be 1 kGy. Detailed description of the scanning and image analyses procedures are provided by Kravchenko et al.23. General image analysis tasks were performed using ImageJ and its plug-in tools 3D Viewer35 and BoneJ36.
Based on the weight of each intact sample and based on its volume determined from the μCT image we calculated total porosity of each sample prior to the incubation. Pores >13 μm were identified on the images with pore/solid material thresholded using indicator kriging approach37. Presence of pores was quantitatively described as percent of pore voxels from the total number of soil sample voxels and is referred to as image-based porosity. Percent of pores <13 μm was determined as the difference between the total volumetric porosity of the sample and its image-based porosity. Note that for accurate determination of the total porosity after the incubation the sample weights would need to be remeasured. That would require taking the aggregates out of the tubes in which they were incubated and unwrapping the protective wire holding them in place (Fig. 1a). Unfortunately, that procedure turned out to be impossible to perform without some losses of soil material, thus accurate determination of the total porosity and <13 μm pores after the incubation could not be achieved. However, due to our careful experimental set-up (Fig. 1a) all studied aggregates remained intact during the entire experiment and none of their post-incubation pore measurements were compromised.
Pore-size distributions were obtained via burn number distribution approach implemented in 3DMA-Rock software38. It should be noted that the abundance of pores of different sizes using this approach is represented by relative fractions of median axis voxels of different burn numbers. While an accurate representation of an overall relative frequencies of pores of different sizes, these relative fractions can not be used for estimating the actual volume of pores of different sizes.
POM is commonly defined as the pieces of organic material in soil >0.053 mm in size and is experimentally measured in soil samples based on that definition39. POM determination from the images was conducted using the procedure developed by Kravchenko et al.21. POM was quantified on a volumetric percent basis, i.e., based on the ratio of the number of POM voxels and the total number of voxels in the intact soil sample. Pore characteristics and POM were determined from the images before and after the incubation. The differences in the numbers of voxels of pores of specific sizes and in the numbers of POM voxels in before- and after-incubation images were used to estimate the changes that took place during the incubation.
Each intact soil sample was wrapped in a plastic mesh with 0.5 mm mesh grid and placed in a 3 ml plastic syringe (Ø 10 mm) (BD Franklin Lakes NJ, USA) (Fig. 1a). The purpose of the mesh wrap was to hold the sample suspended inside the syringe without restricting the air flow towards the sample from any of the directions. The average weight of the intact soil samples was 0.26 g with minimum and maximum weights of 0.23 and 0.32 g, respectively. After being placed in the syringes the samples were subjected to μCT scanning. The samples were scanned while air-dry, since it has been demonstrated that scanning has minimal effect on soil microorganisms in dry conditions40. Our previous assessments of the effect of scanning on the microbial activities and microbial community structure in intact soil samples of the same size scanned at the same settings demonstrated minimal interference of scanning with microorganisms23.
After the first scanning, water content in all intact soil samples was brought to 60% of the total soil porosity. Then the base of each syringe was covered with rubber sleeve stopper and each syringe was placed in a 10 ml vacutainer (BD Franklin Lakes NJ, USA). Approximately 0.5 ml of water was added to the bottom of each vacutainer to protect soil from drying during the incubation.
The incubations were carried out at 22 °C for 120 days. The CO2 emission was measured on the first, second, fourth and eighth days of the incubation and then continued on a weekly basis until the last month of the study, when CO2 was measured at two and three week intervals. The CO2 measurements were conducted using infrared gas analyzer (LI-820 CO2 Analyzer Lincoln, Nebraska, USA). After each sampling, the remaining gas in the headspace was flushed with CO2-free air.
After the incubation, prior to the second scanning, the samples were completely air-dried. Thus, both scannings were conducted at the same level of soil moisture, equal to approximately 2–4% for the studied aggregates.
Comparisons between the practices in terms of pore characteristics, POM and their changes after incubation were conducted using the mixed model approach implemented in the PROC MIXED procedure of SAS (SAS, 2009). Associations between presence of pores of different sizes, amounts of POM and their changes were examined using correlation and linear regression analyses in PROC REG. The regression diagnostic was conducted using Cook’s distance values to examine the influence of individual data points on the regression results and identify outlier; the high influence observations were excluded from the analysis41. The significant differences at 0.05 and 0.1 levels are reported.
When the regression results indicated presence of interactions between the management practices and the pore effects, that is, when the regression slopes obtained for different practices differed from each other, the regression analyses of the data for each practice were conducted and reported separately. When no differences in relationships with pores were observed among the three practices, we conducted regression analysis of the entire data set, while still using different symbols for different practices in the figures presenting the regression results. These analyses were conducted using ANCOVA techniques by treating practice as a class variable and pore characteristics as continuous exploratory variables in the PROC MIXED procedure of SAS42.
Additional Information
How to cite this article: Kravchenko, A. N. et al. Protection of soil carbon within macro-aggregates depends on intra-aggregate pore characteristics. Sci. Rep. 5, 16261; doi: 10.1038/srep16261 (2015).
References
Falkowski, P. et al. The global carbon cycle: A test of our knowledge of earth as a system. Science 290, 291–296, doi: 10.1126/science.290.5490.291 (2000).
Davidson, E. A. & Janssens, I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165–173, doi: 10.1038/nature04514 (2006).
Chenu, C. & Plante, A. F. Clay-sized organo-mineral complexes in a cultivation chronosequence: revisiting the concept of the ‘primary organo-mineral complex’. Eur J Soil Sci 57, 596–607, doi: 10.1111/j.1365-2389.2006.00834.x (2006).
Dungait, J. A. J., Hopkins, D. W., Gregory, A. S. & Whitmore, A. P. Soil organic matter turnover is governed by accessibility not recalcitrance. Global Change Biol 18, 1781–1796, doi: 10.1111/j.1365-2486.2012.02665.x (2012).
Schmidt, M. W. I. et al. Persistence of soil organic matter as an ecosystem property. Nature 478, 49–56, doi: 10.1038/nature10386 (2011).
Kuzyakov, Y. & Blagodatskaya, E. Microbial hotspots and hot moments in soil: Concept & review. Soil Biol Biochem 83, 184–199 (2015).
Vogel, C. et al. Submicron structures provide preferential spots for carbon and nitrogen sequestration in soils. Nat Commun 5, doi: ARTN 2947DOI 10.1038/ncomms3947 (2014).
De Gryze, S. et al. Pore structure changes during decomposition of fresh residue: X-ray tomography analyses. Geoderma 134, 82–96, doi: 10.1016/j.geoderma.2005.09.002 (2006).
Negassa, W. et al. Properties of soil pore space regulate pathways of plant residue decomposition and community structure of associated bacteria. Plos One. doi: 10.1371/journal.pone.0123999 (2015).
Young, I. M. & Crawford, J. W. Interactions and self-organization in the soil-microbe complex. Science 304, 1634–1637, doi: 10.1126/science.1097394 (2004).
Christensen, B. T. Physical fractionation of soil and structural and functional complexity in organic matter turnover. Eur J Soil Sci 52, 345–353, doi: 10.1046/j.1365-2389.2001.00417.x (2001).
Six, J., Conant, R. T., Paul, E. A. & Paustian, K. Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils. Plant Soil 241, 155–176, doi: 10.1023/A:1016125726789 (2002).
O’Donnell, A. G., Young, I. M., Rushton, S. P., Shirley, M. D. & Crawford, J. W. Visualization, modelling and prediction in soil microbiology. Nat Rev Microbiol 5, 689–699, doi: 10.1038/nrmicro1714 (2007).
Sheffield, J. & Wood, E. F. Global trends and variability in soil moisture and drought characteristics, 1950-2000, from observation-driven Simulations of the terrestrial hydrologic cycle. J Climate 21, 432–458, doi: 10.1175/2007jcli1822.1 (2008).
Six, J., Elliott, E. T. & Paustian, K. Soil macroaggregate turnover and microaggregate formation: a mechanism for C sequestration under no-tillage agriculture. Soil Biol Biochem 32, 2099–2103, doi: 10.1016/S0038-0717(00)00179-6 (2000).
Young, I. M., Crawford, J. W., Nunan, N., Otten, W. & Spiers, A. Microbial Distribution in Soils: Physics and Scaling. Adv Agron 100, 81–121, doi: 10.1016/S0065-2113(08)00604-4 (2008).
Besnard, E., Chenu, C., Balesdent, J., Puget, P. & Arrouays, D. Fate of particulate organic matter in soil aggregates during cultivation. Eur J Soil Sci 47, 495–503, doi: 10.1111/j.1365-2389.1996.tb01849.x (1996).
Derrien, D., Marol, C., Balabane, M. & Balesdent, J. The turnover of carbohydrate carbon in a cultivated soil estimated by C-13 natural abundances. Eur J Soil Sci 57, 547–557, doi: 10.1111/j.1365-2389.2006.00811.x (2006).
Robertson, G. P. & Hamilton, S. K. In The ecology of agricultural landscapes: long-term research on the path to sustainability (eds S. K. Hamilton, J. E. Doll & G. P. Robertson ) 1–32 (Oxford University Press, 2015).
Robertson, G. P. . et al. in Standard soil method for long-term ecological research (eds G. P. Robertson, D. C. Coleman, C. S. Bledsoe & P. Sollins ) 258–271 (Oxford University Press, 1999).
Kravchenko, A. N., Negassa, W., Guber, A. K. & Schmidt, S. New Approach to Measure Soil Particulate Organic Matter in Intact Samples using X-Ray Computed Microtomography. Soil Sci Soc Am J 78, 1177–1185, doi: 10.2136/sssaj2014.01.0039 (2014).
Ananyeva, K., Wang, W., Smucker, A. J. M., Rivers, M. L. & Kravchenko, A. N. Can intra-aggregate pore structures affect the aggregate’s effectiveness in protecting carbon? Soil Biol Biochem 57, 868–875, doi: 10.1016/j.soilbio.2012.10.019 (2013).
Kravchenko, A. N. et al. Intra-aggregate Pore Structure Influences Phylogenetic Composition of Bacterial Community in Macroaggregates. Soil Sci Soc Am J 78, 1924–1939, doi: 10.2136/sssaj2014.07.0308 (2014).
Ruamps, L. S., Nunan, N. & Chenu, C. Microbial biogeography at the soil pore scale. Soil Biol Biochem 43, 280–286, doi: 10.1016/j.soilbio.2010.10.010 (2011).
Strong, D. T., De Wever, H., Merckx, R. & Recous, S. Spatial location of carbon decomposition in the soil pore system. Eur J Soil Sci 55, 739–750, doi: 10.1111/j.1365-2389.2004.00639.x (2004).
Senthilkumar, S., Basso, B., Kravchenko, A. N. & Robertson, G. P. Contemporary Evidence of Soil Carbon Loss in the US Corn Belt. Soil Sci Soc Am J 73, 2078–2086 (2009).
Syswerda, S. P., Corbin, A. T., Mokma, D. L., Kravchenko, A. N. & Robertson, G. P. Agricultural Management and Soil Carbon Storage in Surface vs. Deep Layers. Soil Sci Soc Am J 75, 92–101, doi: 10.2136/sssaj2009.0414 (2011).
Gaillard, V., Chenu, C. & Recous, S. Carbon mineralisation in soil adjacent to plant residues of contrasting biochemical quality. Soil Biol Biochem 35, 93–99, doi: Pii S0038-0717(02)00241-9Doi 10.1016/S0038-0717(02)00241-9 (2003).
Feeney, D. S. et al. Three-dimensional microorganization of the soil-root-microbe system. Microb Ecol 52, 151–158, doi: 10.1007/s00248-006-9062-8 (2006).
Helliwell, J. R., Miller, A. J., Whalley, W. R., Mooney, S. J. & Sturrock, C. J. Quantifying the impact of microbes on soil structural development and behaviour in wet soils. Soil Biol Biochem 74, 138–147, doi: 10.1016/j.soilbio.2014.03.009 (2014).
Crawford, J. W. et al. Microbial diversity affects self-organization of the soil-microbe system with consequences for function. J R Soc Interface 9, 1302–1310, doi: 10.1098/rsif.2011.0679 (2012).
Paul, E. A., Kravchenko, A., Grandy, A. S. & Morris, S. In The ecology of agricultural landscapes: long-term research on the path to sustainability (eds S. K. Hamilton, J. E. Doll & G. P. Robertson ) 104–134 (Oxford University Press, 2015).
Sanaullah, M., Rumpel, C., Charrier, X. & Chabbi, A. How does drought stress influence the decomposition of plant litter with contrasting quality in a grassland ecosystem? Plant Soil 352, 277–288 (2012).
Schmidt, M. W. I. & Noack, A. G. Black carbon in soils and sediments: Analysis, distribution, implications and current challenges. Global Biogeochem Cy 14, 777–793 (2000).
Schmidt, B. ImageJ 3D Viewer, <http://3dviewer.neurofly.de/> (2007).
Doube, M. et al. BoneJ Free and extensible bone image analysis in ImageJ. Bone 47, 1076–1079, doi: 10.1016/j.bone.2010.08.023 (2010).
Oh, W. & Lindquist, W. B. Image thresholding by indicator kriging. Ieee T Pattern Anal 21, 590–602 (1999).
Lindquist, W. B., Venkatarangan, A., Dunsmuir, J. & Wong, T. F. Pore and throat size distributions measured from synchrotron X-ray tomographic images of Fontainebleau sandstones. J Geophys Res-Sol Ea 105, 21509–21527, doi: 10.1029/2000jb900208 (2000).
Cambardella, C. A. & Elliott, E. T. Particulate Soil Organic-Matter Changes across a Grassland Cultivation Sequence. Soil Sci Soc Am J 56, 777–783 (1992).
Schmidt, H., Vetterlein, D., Köhne, J. M. & Eickhorst, T. Negligible effect of X-ray μ-CT scanning on archaea and bacteria in an agricultural soil. Soil Biol Biochem 84, 21–27 (2015).
Chatterjee, S. & Hadi, A. S. Regression analysis by example. 4th edn (John Wiley & Sons, 2006).
Milliken, G. A. & D. E. Johnson. Analysis of Messy Data Volume III: Analysis of covariance. 1st edn (CRC Press, 2001).
Acknowledgements
Support for this research was provided in parts by the United States Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) award No. 2011-68002-301907 cropping systems Coordinated Agricultural Project (CAP); by the U.S. National Science Foundation Long-Term Ecological Research (LTER) Program at the Kellogg Biological Station (DEB 1027253); by Kellogg Biological Station; by Michigan State University’s “Project GREEEN” Program; and by Michigan State University’s “Discretionary Fund Initiative” Program.
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A.K. and A.G. designed the study. W.N. conducted the experimental work. M.R. supervised X-ray μCT scanning. A.K. wrote the main manuscript text.
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Kravchenko, A., Negassa, W., Guber, A. et al. Protection of soil carbon within macro-aggregates depends on intra-aggregate pore characteristics. Sci Rep 5, 16261 (2015). https://doi.org/10.1038/srep16261
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DOI: https://doi.org/10.1038/srep16261
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