Spatio-temporal changes of cropland soil pH in a rapidly industrializing region in the Yangtze River Delta of China, 1980–2015

Xie, Enze; Zhao, Yongcun; Li, Haidong; Shi, Xuezheng; Lu, Fengying; Xiu, Zhang; Peng, Yuxuan

doi:10.1016/j.agee.2018.11.015

Cited by 42 publications

(21 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was worth noting that the relationships among the auxiliary variables are more likely to be spatially non‐stationary in this county. The possible reasons are as follows: (i) soil properties usually have strong spatial variability in large‐scale areas (Granger et al., 2017); (ii) soil properties are affected by multiple endogenous factors such as soil parent material and pedogenic processes, and the above endogenous factors are usually spatially non‐stationary in large‐scale areas (Qu, Chen, Huang, & Zhao, 2020; Zhao et al., 2010); (iii) soil properties in Shayang County are also strongly affected by exogenous factors such as land‐use patterns and fertilization, and the effects of the above exogenous factors on different soil properties also vary from place to place (Schleus et al., 1998; Xie et al., 2019). Therefore, the relationships among the soil properties were not constant in space, and PCA built on variable space could not effectively capture such non‐stationary relationships.…”

Section: Resultsmentioning

confidence: 99%

Improving the spatial prediction accuracy of soil alkaline hydrolyzable nitrogen using GWPCA‐GWRK

Jian

Zhang

et al. 2021

Soil Science Soc of Amer J

Self Cite

View full text Add to dashboard Cite

Principal component analysis-multiple linear regression (PCA-MLR) is usually used to weaken the multi-collinearity effects among auxiliary variables in a regression prediction. However, both PCA and MLR in this model are only built on variable space rather than geographical space. When used in the spatial prediction of soil properties, PCA-MLR usually cannot effectively capture the spatially non-stationary structures among auxiliary variables and spatially non-stationary relationships between the target variable and principal component scores. Moreover, PCA-MLR may ignore the potentially valuable regression residual. To address these limitations, this study first proposed geographically weighted principal component analysis-geographically weighted regression kriging (GWPCA-GWRK) for the spatial prediction of soil alkaline hydrolyzable nitrogen (AN) in Shayang County, China. Then, the spatial prediction accuracy of GWPCA-GWRK was compared with those of the following five models: ordinary kriging (OK), co-kriging (CoK), PCA-MLR, PCAgraphically weighted regression (PCA-GWR), and GWPCA-GWR. Results showed that (i) eight variables were determined as auxiliary data by a geodetector; (ii) the spatially non-stationary relationships among the eight auxiliary variables were revealed by the results of the local correlation analysis, Monte Carlo test, and GWPCA; (iii) GWPCA-GWRK provided the lowest prediction error (RMSE = 18.80 mg kg −1 , MAE = 12.79 mg kg −1 ) and highest Lin's concordance correlation coefficient (LCCC; 0.75); (iv) relative improvement accuracies over the traditionallyused OK were 19.74% for GWPCA-GWRK, 16.42% for GWPCA-GWR,

show abstract

Section: Resultsmentioning

confidence: 99%

Improving the spatial prediction accuracy of soil alkaline hydrolyzable nitrogen using GWPCA‐GWRK

Jian

Zhang

et al. 2021

Soil Science Soc of Amer J

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, although cropland SOC accumulation can be achieved through enhancing the C input (i.e., improving the straw/stover management), future SOC sequestration in the area is still facing big challenges, in particular the balance between agricultural development and the urbanization process for ensuring soil carbon input to maintain the SOC levels. A high SOC level not only benefits the biodiversity of agroecosystems (Wiesmeier et al, 2019), but also improves key soil functions, such as the capacity for acid buffering (Ritchie & Dolling, 1985), which are especially important for areas with accelerated soil acidification, e.g., this study area (Xie et al, 2019). Therefore, management practices and policies for enhancing the soil carbon input should still be given the top priority for maintaining the stability of SOC levels.…”

Section: Challenge For Soil Carbon Sequestrationmentioning

confidence: 99%

Spatiotemporal changes in cropland soil organic carbon in a rapidly urbanizing area of southeastern China during 1980-2015

Xie¹,

Xiu²,

Lu³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Understanding the spatiotemporal changes in soil organic carbon (SOC) and their driving factors is an important prerequisite for decision-making in maintaining sustainable agricultural development and addressing climate change. A total of 1219 cropland topsoil SOC data (0-20 cm) collected from southern Jiangsu Province of China in 1980, 2000, and 2015, and geostatistical sequential Gaussian simulation were used to identify the changes in the spatiotemporal patterns of SOC during the period of 1980-2015. Results showed that the changes in SOC within the different time periods were significantly different, with a net increment of 3.65 g kg-1 during the period of 1980-2000 and a net decrement of 2.32 g kg-1 during the period of 2000-2015. Significant SOC accumulation occurred throughout the study area during 1980-2000, while SOC decline became predominant in the southeast during 2000-2015. Overall, the SOC contents for 60% of the study area increased significantly over the entire 35-year period. The SOC increase during the first two decades (1980-2000) was largely attributed to the increasing soil C input that resulted from the enhanced crop productivity by chemical fertilizers, while the stagnant soil carbon inputs associated with the rapid urban expansion were the primary reason for constraining cropland SOC accumulation in the subsequent 15 years (2000-2015). These findings highlight the importance of balancing agricultural development and urbanization processes to maintain SOC levels, and may also provide some guidance for planning cropland soil C management strategies in many areas that are undergoing similar urbanization processes.

show abstract

“…At pH ≤4.5, a large amount of soluble Al remains in soil solution with toxic Al 3+ as the dominant species (Kopittke & Blamey, 2016). In severe cases, soil acidification results in the deficiency of plant nutrients such as P, Mo, K, Ca, and Mg (Xie et al, 2019;Zhang et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Laboratory studies on the effect of adsorbed microbial extracellular polymeric substances on the acidity of selected variable‐charge soils

Nkoh

Hong

2021

Soil Science Soc of Amer J

View full text Add to dashboard Cite

Extracellular polymeric substances (EPS) secreted by rhizobacteria are ubiquitous in the environment and can enhance the negative charge of variable‐charge soils. Soil negative charge is directly related to pH buffering capacity (pHBC); it is essential to examine the effect of EPS on soil acidity and pHBC. We investigated the effect of adsorbed EPS on the acidification of five variable‐charge soils in China, which were subjected to different land use: an Oxisol and four Ultisols. Spectroscopic analysis revealed that EPS was specifically adsorbed onto soil surfaces through iron–oxygen–phosphorus/aluminum–oxygen–phosphorus (Fe‐O‐P/Al‐O‐P) bonds formed between phosphoryl groups of EPS and soil Al/Fe oxides. During the formation of Fe‐O‐P/Al‐O‐P bonds, there was ligand exchange between the EPS phosphoryl groups and the surface hydroxyl groups of Fe/Al oxides of the soils. The released OH– played an important role in soil acidity amelioration by the adsorbed EPS through neutralizing H+ and increasing soil suspension pH. After acidification, the pH of EPS‐treated soils was higher than that of the controls. This was attributed to a combined effect of enhanced soil pHBC, and protonation of organic anions (e.g., COO– to COOH) of EPS to decrease the activity of protons. The adsorbed EPS ameliorated prior soil acidity, inhibited new soil acidification, and promoted hydrolysis and re‐adsorption of Al. This was evident as the proportion of organically bound Al and adsorbed hydroxyl Al increased, whereas that of exchangeable Al decreased after EPS adsorption. Therefore, this study can serve as a reference for the molecular design of cost‐effective and environmentally friendly amendments for acid soils.

show abstract

Spatio-temporal changes of cropland soil pH in a rapidly industrializing region in the Yangtze River Delta of China, 1980–2015

Cited by 42 publications

References 44 publications

Improving the spatial prediction accuracy of soil alkaline hydrolyzable nitrogen using GWPCA‐GWRK

Improving the spatial prediction accuracy of soil alkaline hydrolyzable nitrogen using GWPCA‐GWRK

Spatiotemporal changes in cropland soil organic carbon in a rapidly urbanizing area of southeastern China during 1980-2015

Laboratory studies on the effect of adsorbed microbial extracellular polymeric substances on the acidity of selected variable‐charge soils

Contact Info

Product

Resources

About