The influence of the type of crop residue on soil organic carbon fractions: An 11-year field study of rice-based cropping systems in southeast China

Song, Chen; Xu, Chunmei; Yan, Jinxiang; Zhang, Xiaoguo; Zhang, Xiufu; Wang, Dangying

doi:10.1016/j.agee.2016.03.009

Cited by 77 publications

(32 citation statements)

References 33 publications

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“…Meanwhile, rice roots can provide a portion of the carbon inputs for both the topsoil and subsoil, as rice roots can reach a depth of more than 60 cm in soil (Sun et al, ). Thus, the significant increase of TOC in topsoil (0–20 cm) for rice–garlic rotation land could be attributed to rice straw mulch as well as decomposition of rice roots, which has also been proven by an 11‐year field experiment with straw mulch (Chen et al, ). Moreover, the relatively reasonable amount of NPK chemical fertilizer application (Table ) combined with inputs of organic material from rice straws and rice roots could cause clear increases in EOC, DOC, and MBC contents throughout the entire soil profile (Li et al, ).…”

Section: Discussionmentioning

confidence: 78%

“…In contrast, the changes in TOC and its labile fractions for different types of rice–vegetable rotation land converted from traditional rotation land could be caused by straw mulch, rice planting, and chemical fertilizer inputs (Table ). Previous studies of long‐term experiments have shown that the contents of TOC and the labile fractions can be markedly enhanced by the application of reasonable amounts of NPK chemical fertilizer combined with organic fertilizer (Chen et al, ; Li, Peng, & Yang, ). Other studies indicated that the TOC of paddy soil greatly increased due to rice planting (Huang, Sun, & Zhang, ; Shen et al, ; Yan, Wang, & Yang, ), suggesting that the inputs of carbon from rice straws and rice roots might cause an increase in SOC after long‐term rice planting (Li et al, ).…”

Section: Discussionmentioning

confidence: 99%

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Effects of agricultural land use change on organic carbon and its labile fractions in the soil profile in an urban agricultural area

Luo

Shen

et al. 2019

Land Degrad Dev

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The properties of soil organic carbon (SOC) required for carbon sequestration and nutrient availability are contradictory, and the changes in SOC caused by agricultural land use changes remain elusive. Data on the total soil organic carbon (TOC) and labile organic carbon, including easily oxidizable organic carbon (EOC), dissolved organic carbon (DOC), and microbial biomass carbon (MBC), of the soil profile were analysed for four typical agricultural land use scenarios in the Chengdu Plain, China. The impacts of agricultural land use changes on sequestration and nutrient availability of SOC were assessed in this urban agricultural area using the space‐for‐time substitution method. Conversion of land use from a traditional agricultural rotation (rice‐wheat/rapeseed rotation) to afforestation increased the MBC content and decreased the contents of EOC, DOC, and TOC due to the lower input of organic matter, improved aeration of the soil profile, and growth of aboveground biomass. Conversion of a traditional rotation to a rice–garlic rotation resulted in a significant increase in topsoil TOC, slight but insignificant decreases in subsoil TOC, and clear increases in labile organic carbon because of rice planting, rice straw mulch, and reasonable application of chemical fertilizers. In contrast, the conversion of a traditional rotation to a rice–leafy vegetable rotation decreased MBC due to the excessive use of chemical fertilizers that consequently increased EOC, DOC, and TOC. We conclude that afforestation on paddy soil has negative consequences for soil carbon sequestration and a rice–leafy vegetable rotation contributes to carbon sequestration but is detrimental to soil fertility. In addition, the MBC ratio in soil could be the optimal indicator for assessing SOC stability and soil fertility, and more attention should be paid to subsoil carbon changes.

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Section: Discussionmentioning

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Effects of agricultural land use change on organic carbon and its labile fractions in the soil profile in an urban agricultural area

Luo

Shen

et al. 2019

Land Degrad Dev

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“…Crop residue is defined as stalks, leaves and any other plant litter of crops such as maize, wheat, soybean, rice, etc., which accumulates on the surface of farmland after harvest [1,2]. Crop residues play an important role in the conservation of tillage systems, which include reducing water-based and wind-based soil erosion, increasing soil organic matter content, fixing CO 2 in the soil and improving soil quality [3][4][5]. It also has positive influences on water infiltration and evaporation by improving soil structure and reducing daily variation of soil temperature [6,7].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Winter Wheat Residue Coverage Using Optical and SAR Remote Sensing Images

et al. 2019

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As an important part of the farmland ecosystem, crop residues provide a barrier against water erosion, and improve soil quality. Timely and accurate estimation of crop residue coverage (CRC) on a regional scale is essential for understanding the condition of ecosystems and the interactions with the surrounding environment. Satellite remote sensing is an effective way of regional CRC estimation. Both optical remote sensing and microwave remote sensing are common means of CRC estimation. However, CRC estimation based on optical imagery has the shortcomings of signal saturation in high coverage areas and susceptibility to weather conditions, while CRC estimation using microwave imagery is easily influenced by soil moisture and crop types. Synergistic use of optical and microwave remote sensing information may have the potential to improve estimation accuracy. Therefore, the objectives of this study were to: (i) Analyze the correlation between field measured CRC and satellite derived variables based on Sentinel-1 and Sentinel-2, (ii) investigate the relationship of CRC with new indices (OCRI-RPs) which combine optical crop residues indices (OCRIs) and radar parameters (RPs), and (iii) to estimate CRC in Yucheng County based on OCRI-RPs by optimal subset regression. The correlations between field measured CRC and satellite derived variables were evaluated by coefficient of determination (R2) and root mean square error (RMSE). The results showed that the normalized difference tillage index (NDTI) and radar indices 2 (RI2) had relatively higher correlations with field measured CRC in OCRIs and RPs (R2 = 0.570, RMSE = 6.560% and R2 = 0.430, RMSE = 7.052%, respectively). Combining OCRIs with RPs by multiplying each OCRI with each RP could significantly improve the ability of indices to estimate CRC, as NDTI × RI2 had the highest R2 value of 0.738 and lowest RMSE value of 5.140%. The optimal model for CRC estimation by optimal subset regression was constructed by NDI71 × σ V V 0 and NDTI × σ V H 0 , with a R2 value of 0.770 and a RMSE value of 4.846%, which had a great improvement when compared with the best results in OCRIs and RPs. The results demonstrated that the combination of optical remote sensing information and microwave remote sensing information could improve the accuracy of CRC estimation.

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“…The decomposition and burning of crop residue produces carbon dioxide (CO 2 ) and other gases, increasing atmospheric carbon [4,5]. Thus, the proper management of crop residue is an integral part of many eco-friendly tillage systems and a major focus of research into the environmental effects of agricultural practices [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study

et al. 2019

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Crop residue left in the field after harvest helps to protect against water and wind erosion, increase soil organic matter, and improve soil quality, so a proper estimate of the quantity of crop residue is crucial to optimize tillage and for research into environmental effects. Although remote-sensing-based techniques to estimate crop residue cover (CRC) have proven to be good tools for determining CRC, their application is limited by variations in the moisture of crop residue and soil. In this study, we propose a crop residue angle index (CRAI) to estimate the CRC for four distinct soils with varying soil moisture (SM) content and crop residue moisture (CRM). The current study uses laboratory-based tests ((i) a dry dataset (air-dried soils and crop residues, n = 392); (ii) a wet dataset (wet soils and crop residues, n = 822); (iii) a saturated dataset (saturated soils and crop residues, n = 402); and (iv) all datasets (n = 1616)), which allows us to analysis the soil and crop residue hyperspectral response to varying SM/CRM. The CRAI combines two features that reflect the moisture content in soil and crop residue. The first is the different reflectance of soil and crop residue as a function of moisture in the near-infrared band (833 nm) and short-wave near-infrared band (1670 nm), and the second is different reflectance of soils and crop residues to lignin, cellulose, and moisture in the bands at 2101, 2031, and 2201 nm. The effects of moisture and soil type on the proposed CRAI and selected traditional spectral indices ((i) hyperspectral cellulose absorption index; (ii) hyperspectral shortwave infrared normalized difference residue index; and (iii) selected broad-band spectral indices) were compared by using a laboratory-based dataset. The results show that the SM/CRM significantly affects the broad-band spectral indices and all other spectral indices investigated are less correlated with CRC when using all datasets than when using only the dry, wet, or saturated dataset. Laboratory study suggests that the CRAI is promising for estimating CRC with the four soils and with varying SM/CRM. However, because the CRAI was only validated by a laboratory-based dataset, additional field testing is thus required to verify the use of satellite hyperspectral remote-sensing images for different crops and ecological areas.

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The influence of the type of crop residue on soil organic carbon fractions: An 11-year field study of rice-based cropping systems in southeast China

Cited by 77 publications

References 33 publications

Effects of agricultural land use change on organic carbon and its labile fractions in the soil profile in an urban agricultural area

Effects of agricultural land use change on organic carbon and its labile fractions in the soil profile in an urban agricultural area

Estimation of Winter Wheat Residue Coverage Using Optical and SAR Remote Sensing Images

Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study

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