Responses of soil carbon sequestration to climate‐smart agriculture practices: A meta‐analysis

Global Change Biology, Год журнала: 2019, Номер 25(8), С. 2591 - 2606

Опубликована: Апрель 19, 2019

Abstract Climate‐smart agriculture (CSA) management practices (e.g., conservation tillage, cover crops, and biochar applications) have been widely adopted to enhance soil organic carbon (SOC) sequestration reduce greenhouse gas emissions while ensuring crop productivity. However, current measurements regarding the influences of CSA on SOC diverge widely, making it difficult derive conclusions about individual combined effects bringing large uncertainties in quantifying potential agricultural sector mitigate climate change. We conducted a meta‐analysis 3,049 paired from 417 peer‐reviewed articles examine three common as well environmental controlling factors. found that, average, applications represented most effective approach for increasing content (39%), followed by crops (6%) tillage (5%). Further analysis suggested that were more pronounced areas with relatively warmer climates or lower nitrogen fertilizer inputs. Our demonstrated through adopting practices, cropland could be an improved sink. also highlight importance considering local factors conditions their combination other practices) identifying appropriate mitigating

Язык: Английский

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Soil organic matter formation, persistence, and functioning: A synthesis of current understanding to inform its conservation and regeneration

Advances in agronomy, Год журнала: 2022, Номер unknown, С. 1 - 66

Опубликована: Янв. 1, 2022

Язык: Английский

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Large‐scale importance of microbial carbon use efficiency and necromass to soil organic carbon

Global Change Biology, Год журнала: 2021, Номер 27(10), С. 2039 - 2048

Опубликована: Фев. 10, 2021

Abstract Optimal methods for incorporating soil microbial mechanisms of carbon (C) cycling into Earth system models (ESMs) are still under debate. Specifically, whether physiology parameters and residual materials important to organic C (SOC) content is unclear. Here, we explored the effects biotic abiotic factors on SOC based a survey soils from 16 locations along ~4000 km forest transect in eastern China, spanning wide range climate, conditions, communities. We found that was highly correlated with biomass (MBC) amino sugar (AS) concentration, an index necromass. Microbial use efficiency (CUE) significantly related variations this national‐scale transect. Furthermore, effect climatic edaphic mainly via their regulation physiological properties (CUE MBC). also regression explanation AS performed better than without them. Our results provide empirical linkages among characteristics, at large scale confirm necessity necromass pools ESMs global change scenarios.

Язык: Английский

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Climate, carbon content, and soil texture control the independent formation and persistence of particulate and mineral-associated organic matter in soil

Geoderma, Год журнала: 2020, Номер 363, С. 114160 - 114160

Опубликована: Янв. 17, 2020

Язык: Английский

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Conservation agriculture practices increase soil microbial biomass carbon and nitrogen in agricultural soils: A global meta-analysis

Soil Biology and Biochemistry, Год журнала: 2018, Номер 121, С. 50 - 58

Опубликована: Март 8, 2018

Язык: Английский

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Global subsoil organic carbon turnover times dominantly controlled by soil properties rather than climate

Nature Communications, Год журнала: 2019, Номер 10(1)

Опубликована: Авг. 15, 2019

Abstract Soil organic carbon (SOC) in the subsoil below 0.3 m accounts for majority of total SOC and may be as sensitive to climate change topsoil SOC. Here we map global turnover times ( τ ) layer at 1 km resolution using observational databases. Global mean is estimated $$1015_{729}^{1414}$$ 101 5 729 1414 yr (mean with 95% confidence interval), deserts tundra show shortest $$146_{114}^{188}$$ 14 6 114 188 yr) longest $$3854_{2651}^{5622}$$ 385 4 2651 5622 respectively. Across globe, ranges from 9 (the 5% quantile) 6332 years quantile). Temperature most important factor negatively affecting , but overall effect (including temperature precipitation) secondary compared assessed soil properties (e.g., texture pH). The high-resolution mapping quantification its controls provide a benchmark diagnosing dynamics under change.

Язык: Английский

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Continental-scale soil carbon composition and vulnerability modulated by regional environmental controls

Nature Geoscience, Год журнала: 2019, Номер 12(7), С. 547 - 552

Опубликована: Июнь 3, 2019

Язык: Английский

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Microbial necromass in cropland soils: A global meta‐analysis of management effects

Global Change Biology, Год журнала: 2023, Номер 29(7), С. 1998 - 2014

Опубликована: Фев. 7, 2023

Abstract Microbial necromass is a large and persistent component of soil organic carbon (SOC), especially under croplands. The effects cropland management on microbial accumulation its contribution to SOC have been measured in individual studies but not yet summarized the global scale. We conducted meta‐analysis 481‐paired measurements from soils examine identify optimal conditions for accumulation. Nitrogen fertilization increased total C by 12%, cover crops 14%, no or reduced tillage (NT/RT) 20%, manure 21%, straw amendment 21%. was independent biochar addition. NT/RT fungal more than bacterial necromass. Manure higher fungal, leading decreased ratio fungal‐to‐bacterial Greater increases after amendments were common semi‐arid cool climates with pH <8, proportional amount input. In contrast, mainly warm humid climates. application irrespective properties climate. Management strong when applied during medium (3–10 years) long (10+ periods larger initial contents, absent sandy soils. Close positive links between biomass, indicate important role stabilized products accrual. increment (accumulation efficiency) NT/RT, crops, ranged 45% 52%, which 9%–16% N fertilization. summary, long‐term enhancing accumulation, optimizing sequestration requires site‐specific management.

Язык: Английский

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Storage, patterns and influencing factors for soil organic carbon in coastal wetlands of China

Global Change Biology, Год журнала: 2022, Номер 28(20), С. 6065 - 6085

Опубликована: Июнь 30, 2022

Soil organic carbon (SOC) in coastal wetlands, also known as "blue C," is an essential component of the global C cycles. To gain a detailed insight into blue storage and controlling factors, we studied 142 sites across ca. 5000 km covering temperate, subtropical, tropical climates China. The wetlands represented six vegetation types (Phragmites australis, mixed P. australis Suaeda, single Spartina alterniflora, mangrove [Kandelia obovata Avicennia marina], tidal flat) three invaded by S. alterniflora (P. K. obovata, A. marina). Our results revealed large spatial heterogeneity SOC density top 1-m ranging 40-200 Mg ha-1 , with higher values mid-latitude regions (25-30° N) compared those both low- (20°N) high-latitude (38-40°N) regions. Vegetation type influenced density, having largest followed mangrove, Suaeda flat. increased 6.25 following invasion community but decreased 28.56 8.17 marina communities. Based on field measurements published literature, calculated total inventory 57 × 106 soil China's wetlands. Edaphic variables controlled content, chemical properties explaining variance content. Climate did not control content had strong interactive effect edaphic variables. Plant biomass quality traits were minor contributor regulating highlighting importance quantity OC inputs balance between production degradation within These findings provide new insights stabilization mechanisms sequestration capacity

Язык: Английский

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Soil organic carbon models need independent time-series validation for reliable prediction

Communications Earth & Environment, Год журнала: 2023, Номер 4(1)

Опубликована: Май 8, 2023

Abstract Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those aiming at prediction, validation is a critical step gain confidence in projections. With comprehensive review of ~250 models, we assess how validated depending on their objectives features, discuss predictive can be improved. We find lack independent using observed time series. Conducting such validations should priority improve the model reliability. Approximately 60% analysed not designed for predictions, but rather conceptual understanding processes. These provide important insights by identifying key processes alternative formalisms that relevant models. argue combining based series improved information flow between will increase reliability predictions.

Язык: Английский

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