Distribution of soil bacteria involved in C cycling across extensive environmental and pedogenic gradients

Xue, Peipei; Minasny, Budiman; McBratney, Alex B.; Pino, Vanessa; Fajardo, Mario; Luo, Yu

doi:10.1111/ejss.13337

Cited by 9 publications

(4 citation statements)

References 71 publications

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“…Soil carbon pools are sensitive to microbial diversity in soil [55,56]. Soil bacteria and fungi are directly involved in the carbon cycle, and their necromass is the main carboncontaining component contributing to the stable SOC pool [57]. Currently, some phyla of microorganisms involved in carbon cycling are distinguished according to their functional groups [57].…”

Section: Resultsmentioning

confidence: 99%

“…Soil bacteria and fungi are directly involved in the carbon cycle, and their necromass is the main carboncontaining component contributing to the stable SOC pool [57]. Currently, some phyla of microorganisms involved in carbon cycling are distinguished according to their functional groups [57]. For example, Acidobacteria can decompose complex carbon substrates; Proteobacteria, Cyanobacteria, Euryarchaeota, Crenarchaeota, and Chlorophyta can fix carbon; methanogenic Archaea during the process of anaerobic decomposition of organic matter can produce methane [56].…”

Section: Resultsmentioning

confidence: 99%

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The Characterization of Biodiversity and Soil Emission Activity of the “Ladoga” Carbon-Monitoring Site

Abakumov,

Nizamutdinov,

Zhemchueva

et al. 2024

Atmosphere

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The global climate crisis forces mankind to develop carbon storage technologies. “Ladoga” carbon monitoring site is part of the Russian climate project “Carbon Supersites”, which aims to develop methods and technologies to control the balance of greenhouse gases in various ecosystems. This article shows the condition of soil and vegetation cover of the carbon polygon “Ladoga” using the example of a typical southern taiga ecosystem in the Leningrad region (Russia). It is revealed that soils here are significantly disturbed as a result of agrogenic impact, and the vegetation cover changes under the influence of anthropogenic activity. It has been found that a considerable amount of carbon is deposited in the soils of the carbon polygon; its significant part is accumulated in peat soils (60.0 ± 19.8 kg × m−2 for 0–100 cm layer). In agrogenically disturbed and pristine soils, carbon stocks are equal to 12.8 ± 2.9 kg × m−2 and 8.3 ± 1.3 kg × m−2 in the 0–100 cm layer, respectively. Stocks of potentially mineralizable organic matter (0–10 cm) in peat soils are 0.48 ± 0.01 kg × m−2; in pristine soils, it is 0.58 ± 0.06 kg × m−2. Peat soils are characterized by a higher intensity of carbon mineralization 9.2 ± 0.1 mg × 100 g−1 × day−1 with greater stability. Carbon in pristine soils is mineralized with a lower rate—2.5 ± 0.2 mg × 100 g−1 × day−1. The study of microbial diversity of soils revealed that the dominant phyla of microorganisms are Actinobacteria, Bacteroidetes, and Proteobacteria; however, methane-producing Archaea—Euryarchaeota—were found in peat soils, indicating their potentially greater emission activity. The results of this work will be useful for decision makers and can be used as a reference for estimating the carbon balance of the Leningrad region and southern taiga boreal ecosystems of the Karelian Isthmus.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

The Characterization of Biodiversity and Soil Emission Activity of the “Ladoga” Carbon-Monitoring Site

Abakumov,

Nizamutdinov,

Zhemchueva

et al. 2024

Atmosphere

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“…It has been observed that fungi respond to soil environmental changes in a complete and significant gradient manner [11]. Bacteria are sensitive to soil management actions and are integrative-that is, they provide adequate coverage across a relatively wide range of environmental variables such as soil types, climate, and crop sequence [39,47,48].…”

Section: Indicator Soil Biota and Their Diversity Driversmentioning

confidence: 99%

Assessing Soil Biodiversity Potentials in China: A Multi-Attribute Decision Approach

Yang,

Wollschläger,

Vogel

et al. 2023

Agronomy

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Habitat for biodiversity is a crucial soil function. When assessed at large spatial scales, subjective assessment models are usually constructed by integrating expert knowledge to estimate soil biodiversity potentials (SBP) and predict their trends. However, these regional evaluation methods are challenging to apply mechanistically to other regions, especially in China, where soil biodiversity surveys are still in their infancy. Taking China (9.6 × 106 km2) as the study area, we constructed a Decision EXpert (DEX) multi-attribute decision model based on abiotic factors from soil and climate data that are known to be relevant for the habitat of soil biota. It was used to indirectly assess and map national SBP based on the habitat suitability for fungi, bacteria, nematodes, and earthworms in the topsoil. The results show: (1) the SBP in China was classified into five grades: low, covering 19.8% of the area, medium-low (21.2%), medium (16.0%), medium-high (38.5%), and high (4.5%); (2) the national SBP is at a moderate level, with hotspot areas (1.3 × 106 km2) located in the Yangtze Plain Region, the southeastern Southwest China Region, and the central-eastern South China Region; while the coldspot areas (2.6 × 106 km2) are located in the Gansu–Xinjiang Region and the northeastern Qinghai–Tibet Region; (3) Soil (pH, SOC, CEC, texture, total P, and C/N ratio) and climate (arid/humid regions, temperature zones) were identified as driving this SBP variation. This study presents a general approach to describing soil habitat function on a broad scale based on environmental covariates. It provides a systematic basis for selecting indicators and maps them to SBP from an objective perspective. This approach can be applied to regions where no soil organism survey is available and can also serve as a pre-survey for planning soil resource utilization and conservation.

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“…SOM is the decisive factor of soil bacteria in the process of vegetation restoration [36]. Some studies [37] have further distinguished the correlation between particulate organic carbon and mineral organic carbon in soil and the bacterial community participating in the C cycle and found that the bacterial community structure participating in the C cycle is mainly related to particulate organic carbon but not to mineral organic carbon. Grasslands store a significant amount of soil carbon in mineral-associated organic carbon, which is more persistent but requires higher levels of nitrogen and can become saturated [38].…”

Section: Influencing Factors Of Csmentioning

confidence: 99%

Relationship between Greenhouse Gas Budget and Soil Carbon Storage Measured on Site in Zhalainuoer Grassland Mining Area

Tang,

Mao,

et al. 2023

Atmosphere

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Grassland has great potential for carbon sequestration; however, the relationship between carbon storage (CS) and greenhouse gas (GHG) budget and their influencing factors in the natural restoration process in grassland mining areas are rarely studied. In this study, taking Zhalainuoer mining area in Inner Mongolia as an example, the subsidence soil for 1-, 2-, 5-, 10-, and 15-year and non-subsidence soil were selected as the research objects to explore the relationship between CS and the GHG budget and their influencing factors. The results show that there is a significant negative correlation between CS and the GHG budget. Soil organic carbon storage accounts for 99% of CS. CS is positively correlated with SOM and AP, and with the bacteria Entotheonellaeota. The GHG budget is mainly affected by CO2 emission, which is positively correlated with subsidence time, plant biomass, and coverage, negatively correlated with the bacteria Actinobacteriota and Deinococcota, and positively correlated with Cyanobacteria. In summary, soil plays a major role in storing carbon. Carbon sequestration is a physiological process produced by plants and organisms. Subsidence affects soil CS by changing soil properties and thus affecting its aboveground vegetation and soil microorganisms. This study investigates the changes in soil carbon storage following subsidence caused by mining activities. The findings contribute to our understanding of the impact of mining subsidence on soil CS and can inform the development of low-carbon remediation technologies.

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Distribution of soil bacteria involved in C cycling across extensive environmental and pedogenic gradients

Cited by 9 publications

References 71 publications

The Characterization of Biodiversity and Soil Emission Activity of the “Ladoga” Carbon-Monitoring Site

The Characterization of Biodiversity and Soil Emission Activity of the “Ladoga” Carbon-Monitoring Site

Assessing Soil Biodiversity Potentials in China: A Multi-Attribute Decision Approach

Relationship between Greenhouse Gas Budget and Soil Carbon Storage Measured on Site in Zhalainuoer Grassland Mining Area

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