共查询到12条相似文献,搜索用时 56 毫秒
1.
半干旱土添加有机改良剂后有机质的化学结构变化 总被引:1,自引:0,他引:1
A 9-month incubation experiment using composted and non-composted amendments derived from vine pruning waste and sewage sludge was carried out to study the effects of the nature and stability of organic amendments on the structural composition of organic matter (OM) in a semi-arid soil.The changes of soil OM,both in the whole soil and in the extractable carbon with pyrophosphate,were evaluated by pyrolysis-gas chromatography and chemical analyses.By the end of the experiment,the soils amended with pruning waste exhibited less organic carbon loss than those receiving sewage sludge.The non-composted residues increased the aliphatic-pyrolytic products of the OM,both in the whole soil and also in the pyrophosphate extract,with the products derived from peptides and proteins being significantly higher.After 9 months,in the soils amended with pruning waste the relative abundance of phenolic-pyrolytic products derived from phenolic compounds,lignin and proteins in the whole soil tended to increase more than those in the soils amended with sewage sludge.However,the extractable OM with pyrophosphate in the soils amended with composted residues tended to have higher contents of these phenolic-pyrolytic products than that in non-composted ones.Thus,despite the stability of pruning waste,the composting of this material promoted the incorporation of phenolic compounds to the soil OM.The pyrolytic indices (furfural/pyrrole and aliphatic/aromatic ratios) showed the diminution of aliphatic compounds and the increase of aromatic compounds,indicating the stabilization of the OM in the amended soils after 9 months.In conclusion,the changes of soil OM depend on the nature and stability of the organic amendments,with composted vine pruning waste favouring humification. 相似文献
2.
中国东部太湖地区酸性水稻土团聚体上铜的专性和非专性吸附动力学研究 总被引:1,自引:0,他引:1
The Taihu Lake region in East China has become prone to soil acidification, which changes heavy metals such as copper(Cu) in soil into water-soluble species and increases the mobility and contamination risks of heavy metals in the biological environment. In this study, the kinetics of Cu2+sorption by the bulk soil and the aggregate size fractions of an acidic paddy soil collected from the Taihu Lake region, the effects of temperature on Cu2+sorption, and the p H changes of the solution were investigated by static sorption and magnetic stirring. The aggregate size fractions were prepared by low-energy ultrasonic dispersing and freeze-drying. The total sorption amounts of the bulk soil and the aggregate size fractions for Cu2+followed a descending order of clay > coarse sand > bulk soil > silt> sand, corresponding to those of organic matter content, free iron oxide content, free aluminum oxide content, and cation exchange capacity. The kinetic sorption curves of Cu2+by the bulk soil and the aggregates, which were divided into two stages(rapid and slow sequentially), were well fitted by the first-order equation, the diffusion equation, and the Elovich equation, showing significant correlations(P < 0.05). Specific and non-specific sorption dominated in the fast and slow stages, respectively, and the former was predominant throughout the sorption process. The specific sorption accelerated and the non-specific sorption decelerated with rising temperature. The p H of the solution decreased significantly during the specific sorption and remained unchanged or increased slightly during the non-specific sorption. When the specific sorption terminated, the p H of the solution was minimized nearly simultaneously.The sorption progress of Cu2+by the bulk soil significantly preceded that by the aggregates. Therefore, heavy metal contamination may be another factor reducing soil p H and metal sorption forms should be taken into consideration in studies of mitigating soil heavy metal pollution or determining environmental capacity of heavy metal in soil. 相似文献
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Yaser Ostovari Shoja Ghorbani-Dashtaki Lalit Kumar Farzin Shabani 《Archives of Agronomy and Soil Science》2013,59(12):1688-1703
ABSTRACTPedotransfer functions (PTFs) have been used to save time and cost in predicting certain soil properties, such as soil erodibility (K-factor). The main objectives of this study were to develop appropriate PTFs to predict the K-factor, and then compare new PTFs with Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) K-factor models. The K-factor was measured using 40 erosion plots under natural rainfall in Simakan Watershed, an area of 350 km2 in central of Iran. The Regression Tree (RT) and Multiple Linear Regression (MLR) were used to develop PTFs for predicting the K-factor. The result showed that the mean of measured K was 0.01 t h MJ?1 mm?1. The mean K value predicted by USLE and RUSLE was 2.08 and 2.84 times more than the measured K, respectively. Although calcium carbonate was not considered in the original USLE and RUSLE K-factors, it appeared in the advanced PTFs due to its strong positive significant impact on aggregate stability and soil infiltration rate, resulting in decreased K-factor. The results also showed that the RT with R2 = 0.84 had higher performance than developed MLR, USLE and RUSLE for the K estimation. 相似文献
5.
为探究不同灌水和施肥条件对河套灌区不同生育期玉米生长的影响,以玉米“金苹628”为材料,分别研究了低水(1800 m^3/hm^2)、中水(2250 m^3/hm^2)、高水(2700 m^3/hm^2)3个灌水水平,低肥(300 kg/hm^2)、中肥(375 kg/hm^2)、高肥(450 kg/hm^2)3个施肥水平,并以当地一般灌水量和施肥量为对照(CK),共10个处理在苗期、拔节、抽雄、灌浆、成熟期对土壤水分、养分和玉米生长的影响。结果表明:拔节期以后,土壤平均含水率呈下降趋势;抽雄和灌浆期玉米耗水量最大,占整个生育期耗水量65%以上;拔节期土壤硝态氮累积量最小,植物吸收大量养分供玉米快速生长;高水水平下,玉米产量及水分利用效率随灌水和施肥量的增加呈先增后减趋势。通过多元逐步回归分析不同生育阶段土壤水分和养分对玉米生长的影响,筛选出不同生育期对玉米生长影响更为关键的要素,得出在抽雄、灌浆、成熟期土壤水分对玉米生长的影响比土壤养分大,拔节期土壤养分对玉米生长的影响比土壤水分大。研究结果可为河套灌区节水减肥,合理分配水资源,减少氮素面源污染,保障玉米稳定生长提供理论基础。 相似文献
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Huan Yu Bo Kong Guangxing Wang Rongxiang Du Guangping Qie 《Archives of Agronomy and Soil Science》2018,64(4):546-559
Quickly and accurately mapping soil properties is critical for agricultural, forestry and environmental management. In this study, a new hyperspectral remote sensing method of soil property prediction was developed and validated in Stipa purpurea dominated alpine grasslands located in Shenzha County of the Qiangtang Plateau, northwestern Qinghai-Tibet Plateau. Hyperspectral data were collected in a total of 67 sample points. At the same time, soil samples were obtained at the locations and soil properties including organic carbon, total nitrogen, total potassium and total phosphorus were measured. The correlations of the soil properties with original bands and enhanced spectral variables derived from both field and satellite hyperspectral data were analyzed. Regression models that explained the relationships were further developed to map the soil properties. The results showed that the stepwise regression models based on the satellite hyperspectral image derived enhanced spectral variables produced reasonable spatial distributions of the soil properties and the relative RMSE values of 68.9, 46.3, 31.4 and 45.5% for soil organic carbon, total nitrogen, total phosphorus and total potassium, respectively. Thus, this study implied that the hyperspectral data based method provided great potential to predict the soil properties. 相似文献
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长白山东部4种林分类型土壤有机碳及养分特征研究 总被引:4,自引:0,他引:4
以长白山东部长白落叶松天然林、长白落叶松人工林、天然阔叶混交林、天然针阔混交林4种林分类型为研究对象,对比分析了土壤有机碳(SOC)的垂直分布特征,以及与土壤理化性质的相关性.结果表明,4种林分下土壤有机碳含量及其差异程度随土壤深度增加均呈现逐渐减小的趋势.0-60 cm土层土壤有机碳含量大小依次为天然针阔混交林(33.64士17.48 g/kg)>长白落叶松天然林(25.30±15.09 g/kg)>天然阔叶混交林(22.13±13.74 g/kg)>长白落叶松人工林(19.23±12.35 g/kg);天然针阔混交林0-60 cm土壤有机碳密度为21.44±8.31 kg/m2,显著高于其他3种林分类型,长白落叶松人工林最小,为14.29±1.59 kg/m2.对不同土层土壤有机碳和土壤理化性质进行相关分析,结果表明,整个土壤剖面有机碳含量与自然含水率、全N、全P、全K、速效K均呈极显著或显著正相关,与土壤密度呈极显著负相关;不同林分类型土壤有机碳含量和碳密度与全N均呈显著或极显著正相关,与土壤理化性质相关性存在较大差异. 相似文献
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氧化铁是土壤中含铁矿物的主体,是土壤发育和土壤分类最明显和最有用的指标之一。本文以湖南省大围山森林土壤为研究对象,通过实验室化学成分测定和光谱采集,在光谱预处理及组合变换基础上,采用相关性分析筛选土壤氧化铁全量的敏感波段,并分别建立多元逐步回归和偏最小二乘回归反演模型。结果表明:不同土壤光谱曲线趋势基本一致,均形似陡坎,且在420~580 nm波段,土壤氧化铁全量与光谱反射率呈负相关关系;不同的光谱数据变换方式可以提高光谱与氧化铁全量的相关性,Savitzky-Golay(S-G)平滑和去包络线相结合优于其他预处理方法;土壤氧化铁全量的特征波段主要为392、427、529、523、549、559、565、570、994和1040nm,偏最小二乘回归模型比多元逐步回归模型具有更好的稳定性,适合于快速估算红黄壤区森林土壤氧化铁全量。 相似文献
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Yufu Jia Yakov Kuzyakov Guoan Wang Wenbing Tan Biao Zhu Xiaojuan Feng 《Land Degradation u0026amp; Development》2020,31(5):632-645
Soil organic carbon (SOC) is an indicator of soil fertility. Global warming accelerates SOC decomposition, consequently, resulting in land degradation. Characterization of the response of SOC decomposition to temperature is important for predicting land development. A simulation model based on temperature sensitivity (Q10) of SOC decomposition has been used to predict SOC response to climate warming. However, uncertain Q10 leads to substantial uncertainties in the predictions. A major uncertainty comes from the interference of rainfall. To minimize this interference, we sampled surface (0–5 cm) soils along an isohyet across a temperature gradient in the Qinghai–Tibetan Plateau. The Q10 of bulk soil and the four soil fractions, such as light fraction (LightF), particulate organic matter (POM), hydrolyzable fraction (HydrolysF), and recalcitrant fraction (RecalcitF), were studied by 14C dating. Turnover time follows the order: LightF < POM < bulk soil < HydrolysF < RecalcitF. The Q10 follows the order: LightF (1.0) = POM (1.0) < HydrolysF (3.63) < bulk soil (5.93) < RecalcitF (7.46). This indicates that stable fractions are much more sensitive to temperature than labile fractions. We also suggest that protection mechanisms rather than molecular composition regulate SOC turnover. A new concept 'protection sensitivity' of SOC decomposition was proposed. Protection sensitivity relates to protection type and primarily controls Q10 variation. A simulation model based on the Q10 of individual fractions predicted SOC change and land development in the Qinghai–Tibetan Plateau in the next 100 years much effectively as compared to simulations based on one‐pool model (Q10 = 2) or bulk soil (Q10 = 5.93). 相似文献
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《Land Degradation u0026amp; Development》2017,28(1):128-141
Not only are soil erosion and overall loss of soil fertility serious issues for loess‐derived soils of developing nations, such as Iran, but they are also global problems. This research investigated the role of land use change and its effect on soil degradation in cultivated, pasture, and urban lands, when compared with native forest in terms of declining of soil quality and fertility. Multivariate statistical methods including principal component analysis and cluster analysis were employed to determine the relative magnitude of anthropogenic and natural influences on soil quality. Partial least squares (PLS), principal component regression, and ordinary least squares regression were used to predict soil cation exchange capacity using soil characteristics. Principal component analysis identified five primary components of soil quality. PC1 explained 41·01% of the total variance, PC2 accounted for 15·29%, and PC3 accounted for 11·3%. PC4 and PC5 accounted for 7·37% and 4·19% of the total variance, respectively. Cluster analysis revealed that the lowest soil quality occurred in urban soils. An exponential semivariogram using PLS predictions revealed stronger spatial dependence among cation exchange capacity [r 2 = 0·80, root mean square error (RMSE) = 1·99] than the other methods, principal component regression [r 2 = 0·84, RMSE = 2·45] and ordinary least squares [r 2 = 0·84, RMSE = 2·45]. Therefore, the PLS method provided the best model for the data. In stepwise regression analysis, mean weight diameter and labile carbon were selected as influential variables in all soils. This study quantified reductions in numerous soil quality parameters resulting from extensive land‐use changes and urbanization in the Ziarat watershed in northern Iran. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
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中国东北农田土壤质量评价的最小数据集选择 总被引:2,自引:0,他引:2
CHEN Yu-Dong WANG Huo-Yan ZHOU Jian-Min XING Lu ZHU Bai-Shu ZHAO Yong-Cun CHEN Xiao-Qin 《土壤圈》2013,23(5):564-576
Soil quality assessment provides a tool for agriculture managers and policy makers to gain a better understanding of how various agricultural systems afect soil resources.Soil quality of Hailun County,a typical soybean (Glycine max L.Merill) growing area located in Northeast China,was evaluated using soil quality index(SQI)methods.Each SQI was computed using a minimum data set(MDS) selected using principal components analysis(PCA)as a data reduction technique.Eight MDS indicators were selected from 20 physical and chemical soil measurements.The MDS accounted for 74.9% of the total variance in the total data set(TDS).The SQI values for 88 soil samples were evaluated with linear scoring techniques and various weight methods.The results showed that SQI values correlated well with soybean yield (r=0.658**) when indicators in MDS were weighted by the regression coefcient computed for each yield and index.Stepwise regression between yield and principal components (PCs) indicated that available boron(AvB),available phosphorus (AvP),available potassium (AvK),available iron (AvFe) and texture were the main factors limiting soybean yield.The method used to select an MDS could not only appropriately assess soil quality but also be used as a powerful tool for soil nutrient diagnosis at the regional level. 相似文献
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根据第二次全国土壤普查资料,利用数理统计的方法研究了华北黄泛平原潮土土壤粒级与土壤养分含量之间的关系。研究结果表明,土壤耕层养分含量与土壤砂粒成负相关,与小于0.01 mm的各粒级成正相关。其中土壤有机质含量主要受砂粒(1~0.05 mm)和细粘粒(<0.001 mm)含量的影响,土壤全氮含量主要受细粘粒含量的影响,土壤全磷含量主要受砂粒和粗粉粒(0.05~0.01 mm)含量的影响,土壤速效磷含量主要受细粘粒含量的影响,土壤速效钾含量主要受细粉粒(0.01~0.005 mm)含量的影响。 相似文献