Uncovering the diverging factors that control microbial carbon sequestration and respiration in soils exposed to moisture fluctuations

2020 ◽  
Author(s):  
Albert C. Brangarí ◽  
Stefano Manzoni ◽  
Johannes Rousk
Keyword(s):  
Microbial Control ◽  
C Sequestration ◽  
Soil C ◽  
Soil Microbial ◽  
Biogeochemical Models ◽  
Drying And Rewetting ◽  
Proposed Model ◽  
C Stocks ◽  
Wide Range ◽  
Microbial Carbon

<p>Soils are continuously exposed to recurrent cycles of drying and rewetting, for instance, when extended periods of drought are followed by rainfall events. For nearly a century it has been known that the balance of the soil C budget is affected by these moisture fluctuations, which is characterized by very large mineralization losses when dry soils are rewetted. In some ecosystems, the soil C losses resulting from this phenomenon (“the Birch effect”) even represent a dominant fraction of the annual C-transfer from soils to the atmosphere. However, to balance the soil C budget, the microbial control of C input to the soil during these events also needs to be known. It was recently discovered that the growth of microorganisms, driving C stabilization in soils, has a far slower response to rewetting than does respiration. This results in a pronounced and dynamic disconnection between the mechanisms controlling microbial respiration and growth. Despite the significance of this decoupling for the C budget and the long-term balance of soil C stocks, this feature has so far been entirely overlooked by biogeochemical models, potentially leading to a failure to capture the capacity of soils to mitigate the effects of climate change.</p><p>To close this knowledge gap, we developed a new process-based soil microbial model that includes a wide range of physical, chemical and biological mechanisms to explore the nature of soil C dynamics induced by moisture changes. The model was validated using respiration data from soils exposed to repeated cycles of drying and rewetting which has been frequently studied (Miller et al., 2005, Soil Biol Biochem) and compared to other models existing in the literature. The proposed model was able to capture, at once and for the first time, the respiration data and the decoupled behaviour of growth. Simulation results identified the drought-legacy effects on C use efficiency and microbial physiology as the main mechanisms controlling the soil responses to moisture fluctuations. This represents a critical step towards unravelling the C sequestration capacity of soils, its drivers and feedback on climate.</p>

Organic soil amendments as a tool to increase biological activity and C sequestration in clay soil

2021 ◽  
Author(s):  
Jussi Heinonsalo ◽  
Anna-Reetta Salonen ◽  
Rashmi Shrestha ◽  
Subin Kalu ◽  
Outi-Maaria Sietiö ◽  
...  
Keyword(s):  
Soil Structure ◽  
Soil Amendments ◽  
C Sequestration ◽  
Organic Soil ◽  
Plant Production ◽  
Soil C ◽  
Soil Microbial ◽  
Organic Soil Amendments ◽  
C Stocks ◽  
Soil C Sequestration

<p>Soil C sequestration through improved agricultural management practices has been suggested to be a cost-efficient tool to mitigate climate change as increased soil C storage removes CO<sub>2</sub> from the atmosphere. In addition, improved soil organic carbon (SOC) content has positive impacts on farming though better soil structure and resilience against climate extremes through e.g. better water holding capacity. In some parts of the world, low SOC content is highly critical problem for overall cultivability of soils because under certain threshold levels of SOC, soil loses its ability to maintain essential ecosystem services for plant production. Soil organic amendments may increase soil C stocks, improve soil structure and boost soil microbial activities with potential benefits in plant growth and soil C sequestration. Additional organic substrates may stimulate microbial diversity that has been connected to higher SOC content and healthy soils.</p><p>We performed a two-year field experiment where the aim was to investigate whether different organic soil amendments have an impact on soil microbial parameters, soil structure and C sequestration.</p><p>The experiment was performed in Parainen in southern Finland on a clay field where oat (Avena sativa) was the cultivated crop. Four different organic soil amendments were used (two wood-based fiber products that were leftover side streams of pulp and paper industry; and two different wood-based biochars). Soil amendments were applied in 2016. Soil C/N analysis was performed in the autumns 2016-2018 and soil aggregate in the summer and autumn 2018, as well as measures to estimate soil microbial activity: microbial biomass, soil respiration, enzymatic assays, microbial community analysis with Biolog ®  EcoPlates and litter bag decomposition experiment. The relative share of bacteria and fungi was determined using qPCR from soil samples taken in the autumns 2016, 2017 and 2018.</p><p>Data on how the studied organic soil amendments influence soil structure and C content, as well as soil microbial parameters will be presented and discussed.</p>

Carbon stocks in Tasmanian soils

Soil Research ◽  
2012 ◽  
Vol 50 (2) ◽  
pp. 83 ◽  
Author(s):  
W. E. Cotching
Keyword(s):  
Management Practices ◽  
Agricultural Soils ◽  
C Sequestration ◽  
Mean Annual Temperature ◽  
Soil C ◽  
C Stocks ◽  
Initial Soil ◽  
If Current ◽  
Intensive Cropping ◽  
The Difference

Soil carbon (C) stocks were calculated for Tasmanian soil orders to 0.3 and 1.0 m depth from existing datasets. Tasmanian soils have C stocks of 49–117 Mg C/ha in the upper 0.3 m, with Ferrosols having the largest soil C stocks. Mean soil C stocks in agricultural soils were significantly lower under intensive cropping than under irrigated pasture. The range in soil C within soil orders indicates that it is critical to determine initial soil C stocks at individual sites and farms for C accounting and trading purposes, because the initial soil C content will determine if current or changed management practices are likely to result in soil C sequestration or emission. The distribution of C within the profile was significantly different between agricultural and forested land, with agricultural soils having two-thirds of their soil C in the upper 0.3 m, compared with half for forested soils. The difference in this proportion between agricultural and forested land was largest in Dermosols (0.72 v. 0.47). The total amount of soil C in a soil to 1.0 m depth may not change with a change in land use, but the distribution can and any change in soil C deeper in the profile might affect how soil C can be managed for sequestration. Tasmanian soil C stocks are significantly greater than those in mainland states of Australia, reflecting the lower mean annual temperature and higher precipitation in Tasmania, which result in less oxidation of soil organic matter.

scholarly journals Reforestation can sequester two petagrams of carbon in US topsoils in a century

2018 ◽  
Vol 115 (11) ◽  
pp. 2776-2781 ◽  
Author(s):  
Lucas E. Nave ◽  
Grant M. Domke ◽  
Kathryn L. Hofmeister ◽  
Umakant Mishra ◽  
Charles H. Perry ◽  
...  
Keyword(s):  
National Level ◽  
Mineral Soil ◽  
C Sequestration ◽  
The United States ◽  
Forest Sector ◽  
Soil C ◽  
C Storage ◽  
C Stocks ◽  
The Us ◽  
Land Use And Management

Soils are Earth’s largest terrestrial carbon (C) pool, and their responsiveness to land use and management make them appealing targets for strategies to enhance C sequestration. Numerous studies have identified practices that increase soil C, but their inferences are often based on limited data extrapolated over large areas. Here, we combine 15,000 observations from two national-level databases with remote sensing information to address the impacts of reforestation on the sequestration of C in topsoils (uppermost mineral soil horizons). We quantify C stocks in cultivated, reforesting, and natural forest topsoils; rates of C accumulation in reforesting topsoils; and their contribution to the US forest C sink. Our results indicate that reforestation increases topsoil C storage, and that reforesting lands, currently occupying >500,000 km2 in the United States, will sequester a cumulative 1.3–2.1 Pg C within a century (13–21 Tg C·y−1). Annually, these C gains constitute 10% of the US forest sector C sink and offset 1% of all US greenhouse gas emissions.

Site-level simulations of measurable soil fractions with Millennial Version 2

2021 ◽  
Author(s):  
Rose Abramoff ◽  
Bertrand Guenet ◽  
Haicheng Zhang ◽  
Katerina Georgiou ◽  
Xiaofeng Xu ◽  
...  
Keyword(s):  
Meta Analysis ◽  
C Sequestration ◽  
Current Understanding ◽  
Century Model ◽  
Mineral Association ◽  
Microbial Decomposition ◽  
Organic C ◽  
Soil C ◽  
Soil Fractions ◽  
C Stocks

<p>Soil carbon (C) models are used to predict C sequestration responses to climate and land use change. Yet, the soil models embedded in Earth system models typically do not represent processes that reflect our current understanding of soil C cycling, such as microbial decomposition, mineral association, and aggregation. Rather, they rely on conceptual pools with turnover times that are fit to bulk C stocks and/or fluxes. As measurements of soil fractions become increasingly available, soil C models that represent these measurable quantities can be evaluated more accurately. Here we present Version 2 (V2) of the Millennial model, a soil model developed to simulate C pools that can be measured by extraction or fractionation, including particulate organic C, mineral-associated organic C, aggregate C, microbial biomass, and dissolved organic C. Model processes have been updated to reflect the current understanding of mineral-association, temperature sensitivity and reaction kinetics, and different model structures were tested within an open-source framework. We evaluated the ability of Millennial V2 to simulate total soil organic C (SOC), as well as the mineral-associated and particulate fractions, using three soil fractionation data sets spanning a range of climate and geochemistry in Australia (N=495), Europe (N=176), and across the globe (N=730). Millennial V2 (RMSE = 1.98 – 4.76 kg, AIC = 597 – 1755) generally predicts SOC content better than the widely-used Century model (RMSE = 2.23 – 4.8 kg, AIC = 584 – 2271), despite an increase in process complexity and number of parameters. Millennial V2 reproduces between-site variation in SOC across a gradient of plant productivity, and predicts SOC turnover times similar to those of a global meta-analysis. Millennial V2 updates the conceptual Century model pools and processes and represents our current understanding of the roles that microbial activity, mineral association and aggregation play in soil C sequestration.</p>

scholarly journals Unifying soil organic matter formation and persistence frameworks: the MEMS model

2019 ◽  
Vol 16 (6) ◽  
pp. 1225-1248 ◽  
Author(s):  
Andy D. Robertson ◽  
Keith Paustian ◽  
Stephen Ogle ◽  
Matthew D. Wallenstein ◽  
Emanuele Lugato ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Model Performance ◽  
Soil C ◽  
Biogeochemical Models ◽  
Novel Approach ◽  
C Stocks ◽  
Microbial Efficiency ◽  
Organic Matter Fractions ◽  
Soil Organic Matter Formation

Abstract. Soil organic matter (SOM) dynamics in ecosystem-scale biogeochemical models have traditionally been simulated as immeasurable fluxes between conceptually defined pools. This greatly limits how empirical data can be used to improve model performance and reduce the uncertainty associated with their predictions of carbon (C) cycling. Recent advances in our understanding of the biogeochemical processes that govern SOM formation and persistence demand a new mathematical model with a structure built around key mechanisms and biogeochemically relevant pools. Here, we present one approach that aims to address this need. Our new model (MEMS v1.0) is developed from the Microbial Efficiency-Matrix Stabilization framework, which emphasizes the importance of linking the chemistry of organic matter inputs with efficiency of microbial processing and ultimately with the soil mineral matrix, when studying SOM formation and stabilization. Building on this framework, MEMS v1.0 is also capable of simulating the concept of C saturation and represents decomposition processes and mechanisms of physico-chemical stabilization to define SOM formation into four primary fractions. After describing the model in detail, we optimize four key parameters identified through a variance-based sensitivity analysis. Optimization employed soil fractionation data from 154 sites with diverse environmental conditions, directly equating mineral-associated organic matter and particulate organic matter fractions with corresponding model pools. Finally, model performance was evaluated using total topsoil (0–20 cm) C data from 8192 forest and grassland sites across Europe. Despite the relative simplicity of the model, it was able to accurately capture general trends in soil C stocks across extensive gradients of temperature, precipitation, annual C inputs and soil texture. The novel approach that MEMS v1.0 takes to simulate SOM dynamics has the potential to improve our forecasts of how soils respond to management and environmental perturbation. Ensuring these forecasts are accurate is key to effectively informing policy that can address the sustainability of ecosystem services and help mitigate climate change.

scholarly journals Modelling the potential for soil carbon sequestration using biochar from sugarcane residues in Brazil

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
David Lefebvre ◽  
Adrian Williams ◽  
Jeroen Meersmans ◽  
Guy J. D. Kirk ◽  
Saran Sohi ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Field Experiments ◽  
C Sequestration ◽  
Saccharum Officinarum ◽  
The State ◽  
Greenhouse Gas Mitigation ◽  
Future Research ◽  
Soil C ◽  
Full Life Cycle ◽  
C Stocks

Abstract Sugarcane (Saccharum officinarum L.) cultivation leaves behind around 20 t ha−1 of biomass residue after harvest and processing. We investigated the potential for sequestering carbon (C) in soil with these residues by partially converting them into biochar (recalcitrant carbon-rich material). First, we modified the RothC model to allow changes in soil C arising from additions of sugarcane-derived biochar. Second, we evaluated the modified model against published field data, and found satisfactory agreement between observed and predicted soil C accumulation. Third, we used the model to explore the potential for soil C sequestration with sugarcane biochar in São Paulo State, Brazil. The results show a potential increase in soil C stocks by 2.35 ± 0.4 t C ha−1 year−1 in sugarcane fields across the State at application rates of 4.2 t biochar ha−1 year−1. Scaling to the total sugarcane area of the State, this would be 50 Mt of CO2 equivalent year−1, which is 31% of the CO2 equivalent emissions attributed to the State in 2016. Future research should (a) further validate the model with field experiments; (b) make a full life cycle assessment of the potential for greenhouse gas mitigation, including additional effects of biochar applications on greenhouse gas balances.

Biochar from sugarcane residues: An overview of its sequestration potential in Sao Paulo, Brazil

2020 ◽  
Author(s):  
David Lefebvre ◽  
Jeroen Meersmans ◽  
Guy Kirk ◽  
Adrian Williams
Keyword(s):  
Soil Carbon ◽  
C Sequestration ◽  
Sao Paulo ◽  
São Paulo ◽  
Soil C ◽  
Paulo State ◽  
Sequestration Potential ◽  
C Stocks ◽  
C Stock ◽  
Soil C Stock

<p>Harvesting sugarcane (Saccharum officinarum) produces large quantities of biomass residues. We investigated the potential for converting these residues into biochar (recalcitrant carbon rich material) for soil carbon (C) sequestration. We modified a version of the RothC soil carbon model to follow changes in soil C stocks considering different amounts of fresh sugarcane residues and biochar (including recalcitrant and labile biochar fractions). We used Sao Paulo State (Brazil) as a case study due to its large sugarcane production and associated soil C sequestration potential.</p><p>Mechanical harvesting of sugarcane fields leaves behind > 10 t dry matter of trash (leaves) ha<sup>-1</sup> year<sup>-1</sup>. Although trash blanketing increases soil fertility, an excessive amount is detrimental and reduces the subsequent crop yield. After the optimal trash blanketing amount, sugarcane cultivation still produces 5.9 t C ha<sup>-1</sup> year<sup>-1</sup> of excess trash and bagasse (processing residues) which are available for subsequent use.</p><p>The available residues could produce 2.5 t of slow-pyrolysis (550°C) biochar C ha<sup>-1</sup> year<sup>-1</sup>. The model predicts this could increase sugarcane field soil C stock on average by 2.4 ± 0.4 t C ha<sup>‑1</sup> year<sup>‑1</sup>, after accounting for the climate and soil type variability across the State. Comparing different scenarios, we found that applying fresh residues into the field results in a smaller increase in soil C stock compared to the biochar because the soil C approaches a new equilibrium. For instance, adding 1.2 t of biochar C ha<sup>‑1</sup> year<sup>‑1</sup> along with 3.2 t of fresh residue C ha<sup>‑1</sup> year<sup>‑1 </sup>increased the soil C stock by 1.8 t C ha<sup>‑1</sup> year<sup>‑1 </sup>after 10 years of repeated applications. In contrast, adding 0.62 t of biochar C ha<sup>‑1</sup> year<sup>‑1</sup> with 4.5 t of fresh sugarcane residues C ha<sup>‑1</sup> year<sup>‑1 </sup>increased the soil carbon soil stock by 1.4 t C ha<sup>‑1</sup> year<sup>‑1</sup> after 10 years of application. These are reductions 25% and 40% of the potential soil C accumulation rates compared with applying available residues as biochar.   </p><p>We also tested the sensitivity of the model to biochar-induced positive priming (i.e. increased mineralization of soil organic C) using published values. This showed that the C sequestration balance remains positive over the long term, even considering an extremely high positive-priming factor. Upscaling our results to the total 5 Mha of sugarcane in Sao Paulo State, biochar application could sequester up to 50 Mt of CO<sub>2</sub> equivalent per year, representing 31% of the emissions attributed to the State in 2016.</p><p>This study provides first insights into the sequestration potential of biochar application on sugarcane fields. Measurements of changes in soil C stocks in sugarcane field experiments are needed to further validate the model, and the emissions to implement the practice at large scale need to be taken into account. As the climate crisis grows, the need for greenhouse gas removal technologies becomes crucial. Assessing the net effectiveness of readily available technologies is essential to guide policy makers.  </p>

scholarly journals Long-term nutrient fertilization and the carbon balance of permanent grassland: any evidence for sustainable intensification?

2016 ◽  
Author(s):  
Dario A. Fornara ◽  
Elizabeth - Anne Wasson ◽  
Peter Christie ◽  
Catherine J. Watson
Keyword(s):  
C Sequestration ◽  
Pig Slurry ◽  
Liquid Manure ◽  
Cattle Slurry ◽  
Soil C ◽  
Permanent Grassland ◽  
C Balance ◽  
C Stocks ◽  
Nutrient Fertilization

Abstract. Sustainable grassland intensification aims to increase plant yields while maintaining soils’ ability to act as sinks rather than sources of atmospheric CO2. High biomass yields, however, from managed grasslands can be only maintained through long-term nutrient fertilization, which can significantly affect soil carbon (C) storage and cycling. Key questions remain about (1) how long-term inorganic vs. organic fertilization influences soil C stocks, and (2) how soil C gains (or losses) contribute to the long-term C balance of managed grasslands. Using 43 years of data from a permanent grassland experiment we show that soils not only act as significant C sinks but have not yet reached C saturation. Even unfertilized-control soils showed C sequestration rates of 0.35 Mg C ha−1 yr−1 (i.e. 35 g C m−2 yr−1; 0–15 cm depth) between 1970 and 2013. High application rates of liquid manure (i.e. cattle slurry) further increased soil C sequestration to 0.86 Mg C ha−1 yr−1 (i.e. 86 g C m−2 yr−1) and a key cause of this C accrual was greater C inputs from cattle slurry. However, average coefficients of ‘Slurry-C retention’ suggest that 85 % of C added yearly through liquid manure is lost possibly via CO2 fluxes and organic C leaching from soils. Inorganically fertilized soils (i.e. NPK) had the lowest ‘C-gain-efficiency’ (i.e. unit of C gained per unit of N added) and lowest C sequestration (similar to control soils). Soils receiving cattle slurry showed higher C-gain and N-retention efficiencies compared to soils receiving NPK or pig slurry. We estimate that net rates of CO2-sequestration in the soil top 15 cm can offset 9-to-25 % of GHG emissions from intensive management. However, because of multiple GHG sources associated with livestock farming, the net C balance of these grasslands remains positive (9-to-12 Mg CO2-equivalent ha−1 yr−1), thus contributing to climate change. Further C-gain efficiencies (e.g. reduced enteric fermentation and use of feed concentrates, better nutrient-management) are required to make grassland intensification more sustainable.

scholarly journals Convergent modelling of past soil organic carbon stocks but divergent projections

2015 ◽  
Vol 12 (14) ◽  
pp. 4373-4383 ◽  
Author(s):  
Z. Luo ◽  
E. Wang ◽  
H. Zheng ◽  
J. A. Baldock ◽  
O. J. Sun ◽  
...  
Keyword(s):  
Field Experiments ◽  
Environmental Changes ◽  
Agricultural Soils ◽  
Terrestrial Ecosystems ◽  
C Sequestration ◽  
Biogeochemical Model ◽  
Data Set ◽  
Soil C ◽  
C Stocks ◽  
Drying Conditions

Abstract. Soil carbon (C) models are important tools for understanding soil C balance and projecting C stocks in terrestrial ecosystems, particularly under global change. The initialization and/or parameterization of soil C models can vary among studies even when the same model and data set are used, causing potential uncertainties in projections. Although a few studies have assessed such uncertainties, it is yet unclear what these uncertainties are correlated with and how they change across varying environmental and management conditions. Here, applying a process-based biogeochemical model to 90 individual field experiments (ranging from 5 to 82 years of experimental duration) across the Australian cereal-growing regions, we demonstrated that well-designed optimization procedures enabled the model to accurately simulate changes in measured C stocks, but did not guarantee convergent forward projections (100 years). Major causes of the projection uncertainty were due to insufficient understanding of how microbial processes and soil C pool change to modulate C turnover. For a given site, the uncertainty significantly increased with the magnitude of future C input and years of the projection. Across sites, the uncertainty correlated positively with temperature but negatively with rainfall. On average, a 331 % uncertainty in projected C sequestration ability can be inferred in Australian agricultural soils. This uncertainty would increase further if projections were made for future warming and drying conditions. Future improvement in soil C modelling should focus on how the microbial community and its C use efficiency change in response to environmental changes, and better conceptualization of heterogeneous soil C pools and the C transformation among those pools.

Soil development rates from an optically stimulated luminescence-dated beach ridge sequence in Northern Jutland, Denmark

2010 ◽  
Vol 90 (2) ◽  
pp. 295-307 ◽  
Author(s):  
A H Nielsen ◽  
B. Elberling ◽  
M. Pejrup
Keyword(s):  
Mineral Soil ◽  
C Sequestration ◽  
Soil Development ◽  
Optically Stimulated Luminescence ◽  
Osl Dating ◽  
Beach Ridge ◽  
Soil C ◽  
Development Rates ◽  
C Stocks ◽  
Osl Age

Rates of podzolic soil development in sandy, temperate soils were quantified based on 14 soil pedons with five substrata from a beach ridge chronosequence near Jerup, Northern Denmark (57°N). Soil pH, organic carbon (C) as well as extractable iron (Fe) and aluminium (Al) were measured. The age of each pedon and soil stratum was measured by optically stimulated luminescence (OSL) dating and used to estimate soil development rates. Soils were divided into five groups from Typic Haplorthods and Entic Alorthods with a mean OSL age of 2965 ± 294 yr to Typic Quartzipsamments with a mean OSL age of 22 ± 11 yr. Acidification rates during the first 200 yr were ~1.9 pH units per 100 yr in the A horizons and C-sequestration rates were ~25 g C m-2 yr-1 (excluding litter accumulation). After ~1500 yr, the mineral soil C stocks stabilised around 13.0 ± 2.0 kg C m-2. Translocation rates of Al into B horizons were ~0.3 kg Al m-2 per 1000 yr, while translocation rates for Fe were scattered. Our study illustrates the potential of OSL dating in chronosequence studies to quantify soil development rates.Key words: Soil development rates, chronosequence, OSL-dating, C-sequestration rates and translocation rates

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