Spatial distribution of soil organic carbon stocks in Masson pine (Pinus massoniana) forests in subtropical China

Yao, Xiong; Yu, Kunyong; Deng, Ye; Zeng, Qi; Lai, Zhuangjie; Liu, Jian

doi:10.1016/j.catena.2019.03.004

Cited by 52 publications

(32 citation statements)

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“…The CV was used for assessing the degree of dispersion of the variables ). If the CV was less than 10%, the variable has low variability, if the CV was between 10% and 90%, the variable was defined as moderate variability, if the CV was greater than 90%, and the variable was defined as high variability (Fang et al 2012;Yao et al 2019). Our study indicated the CVs varied from 52.87% to 55.87% for SOC and 49.02% to 50.00% for TN in different soil depths (Table 1), which generally greater than most of results in other studies (She and Shao 2009;Wang et al 2015).…”

Section: Resultsmentioning

confidence: 99%

“…The interpolation quality of SOC and TN was evaluated by the leave-one-out cross-validation . In this study, ordinary kriging model validation was carried out using the determination coefficient (R 2 ), mean error (ME), root mean square error (RMSE), and mean standardized error (MSE) Yao et al 2019).…”

Section: Model Validationmentioning

confidence: 99%

“…Nugget values was commonly regarded as the degree of spatial variability result from random factors (e.g., sampling error) (Goovaerts 1999;Yao et al 2019). In the present study, the nugget values for SOC contents were higher than the values of TN, mainly because of the larger magnitude of SOC contents.…”

Section: Spatial Variability In Soc and Tn Contentsmentioning

confidence: 99%

“…Moreover, the nugget values for SOC and TN declined with soil depth increased ( Table 2). The sill values reflect the total spatial variation result from structural factors (e.g., soil and vegetation types) (Fang et al 2016;Yao et al 2019). Similar to the nugget values, the sill values of SOC and TN decreased with the depths increased (Table 2).…”

Section: Spatial Variability In Soc and Tn Contentsmentioning

confidence: 99%

“…C) values of TN of all depths were lower than 25% (Table 2), suggesting a strong spatial dependence. The ranges were calculated to represent the minimum distance of spatial autocorrelation for soil variables (Blanchet et al 2017;Yao et al 2019). If the distance between the observations fall within the range, the observations can be defined as spatial autocorrelation and the spatial dependence for the distance greater than the range.…”

Section: Spatial Variability In Soc and Tn Contentsmentioning

confidence: 99%

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Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Yao

Deng

et al. 2019

J. For. Res.

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To obtain accurate spatial distribution maps of soil organic carbon (SOC) and total nitrogen (TN) in the Hetian Town in Fujian Province, China, soil samples from three depths (0-20, 20-40, and 40-60 cm) at 59 sampling sites were sampled by using traditional analysis and geostatistical approach. The SOC and TN ranged from 2.26 to 47.54 g kg -1 , and from 0.28 to 2.71 g kg -1 , respectively. The coefficient of variation for SOC and TN was moderate at 49.02-55.87% for all depths. According to the nuggetto-sill ratio values, a moderate spatial dependence of SOC content and a strong spatial dependence of TN content were found in different soil depths, demonstrating that SOC content was affected by both extrinsic and intrinsic factors while TN content was mainly influenced by intrinsic factors. Indices of cross-validation, such as mean error, mean standardized error, were close to zero, indicating that ordinary kriging interpolation is a reliable method to predict the spatial distribution of SOC and TN in different soil depths. Interpolation using ordinary kriging indicated the spatial pattern of SOC and TN were characterized by higher in the periphery and lower in the middle. To improve the accuracy of spatial interpolation for soil properties, it is necessary and important to incorporate a probabilistic and machine learning methods in the future study.

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