Identification of key factors limiting topsoil organic carbon in China

Liu, Xiaojun; Zhang, Yi

doi:10.1007/s12665-022-10657-6

Cited by 4 publications

(2 citation statements)

References 75 publications

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“…The RIs of MAT and MAP for SOC density prediction were 20.90% and 14.93%, and 15.69% and 14.70% in 2005 and 2020, respectively (Figure 7). Temperature was the most important factor governing changes in SOC density at the regional scale, which is consistent with most results in the literature for Northeast China [46,47]. Increased surface temperature and evapotranspiration increase plant respiration rate, accelerate the decomposition of soil organic matter, thereby reducing the content of SOC [48].…”

Section: The Drving Factors Of Soc Prediction Modelssupporting

confidence: 88%

Mapping Topsoil Carbon Storage Dynamics of Croplands Based on Temporal Mosaicking Images of Landsat and Machine Learning Approach

Li,

Wen,

Xing

et al. 2024

Remote Sensing

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Understanding changes of soil organic carbon (SOC) in top layers of croplands and their driving factors is a vital prerequisite in decision-making for maintaining sustainable agriculture. However, high-precision estimation of SOC of croplands at regional scale is still an issue to be solved. Based on soil samples, synthetic image of bare soil and geographical data, this paper predicted SOC density of croplands using Random Forest model in the Black Soil Region of Jilin Province, China in 2005 and 2020, and analyzed its influencing factors. Results showed that random forest model that integrates bare soil composite images improve the accuracy and robustness of SOC density prediction. From 2005 to 2020, the total SOC storage in croplands decreased from 89.96 to 82.79 Tg C with an annual decrease of 0.48 Tg C yr−1. The mean value of SOC density of croplands decreased from 3.42 to 3.32 kg/m2, and high values are distributed in middle parts. Changes of SOC represented significant heterogeneity spatially. 62.14% of croplands with SOC density greater than 4.0 kg/m2 decreased significantly, and 38.60% of croplands with SOC density between 2.5 and 3.0 kg/m2 significantly increased. Climatic factors made great contributions to SOC density, however, their relative importance (RI) to SOC density decreased from 44.65% to 37.26% during the study period. Synthetic images of bare soil constituted 23.54% and 26.29% of RI in the SOC density prediction, respectively, and the contribution of each band was quite different. The RIs of topographic and vegetation factors were low but increased significantly from 2005 to 2020. This study can aid local land managers and governmental agencies in assessing carbon sequestration potential and carbon credits, thus contributing to the protection and sustainable use of black soils.

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Section: The Drving Factors Of Soc Prediction Modelssupporting

confidence: 88%

Mapping Topsoil Carbon Storage Dynamics of Croplands Based on Temporal Mosaicking Images of Landsat and Machine Learning Approach

Li,

Wen,

Xing

et al. 2024

Remote Sensing

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show abstract

“…In this study, the total carbon storage in the grassland ecosystem of the Northern Tibetan Plateau was estimated to be about 4.08 Pg C, including 0.58 Pg C in the vegetation carbon pool (including aboveground and belowground biomass carbon), 2.58 Pg C in the soil carbon pool, and the remainder stored in the bare land. Several recent studies have estimated carbon storage on the Tibetan Plateau mainly through field surveys, remote sensing estimation, and model simulation (Yang et al, 2009b; Liu and Liu, 2014). However, those estimation results still have great variability due to different sampling times, different areas, different calculation methods, and different models.…”

Section: Discussionmentioning

confidence: 99%