黑麦草对土壤径流与产沙的调控效应

By using speetrally stable targets, the empirical line （EL） method was tested to correct the multispectral IKONOS imagery acquired over Putuo Mountain, Zhejiang, China. A series of calibration targets, which were spectrally stable over time, were selected to establish the linear predicted equation. Subsequently, a series of spectrally stable validation targets were selected to assess the accuracy of the equations. And, validation targets, which were speetrally unstable over time, were used to test the feasibility of using the EL method to calibrate the archival remotely sensed data. Ground reflectance measurements for each target were made using an ASD FieldSpec spectroradiometer. A Trimble GeoXTTM GPS unit with sub-meter accuracy was used to estimate the target position accurately. Linear regression equations for four tKONOS bands were derived. The coefficients of determination for the blue, green, and red bands were all greater than 0.9800 and it was 0.9697 for the near infrared band. It was concluded that reasonable results could be obtained by using speetrally stable targets.     

依据传统土壤数据应用数字土壤制图法对香港山地地区土壤建立土纲信息

Based on legacy soil data from a soil survey conducted recently in the traditional manner in Hong Kong of China, a digital soil mapping method was applied to produce soil order information for mountain areas of Hong Kong. Two modeling methods (decision tree analysis and linear discriminant analysis) were used, and their applications were compared. Much more eflort was put on selecting soil covariates for modeling. First, analysis of variance (ANOVA) was used to test the variance of terrain attributes between soil orders. Then, a stepwise procedure was used to select soil covariates for linear discriminant analysis, and a backward removing procedure was developed to select soil covariates for tree modeling. At the same time, ANOVA results, as well as our knowledge and experience on soil mapping, were also taken into account for selecting soil covariates for tree modeling. Two linear discriminant models and four tree models were established finally, and their prediction performances were validated using a multiple jackknifing approach. Results showed that the discriminant model built on ANOVA results performed best, followed by the discriminant model built by stepwise, the tree model built by the backward removing procedure, the tree model built according to knowledge and experience on soil mapping, and the tree model built automatically. The results highlighted the importance of selecting soil covariates in modeling for soil mapping, and suggested the usefulness of methods used in this study for selecting soil covariates. The best discriminant model was finally selected to map soil orders for this area, and validation results showed that thus produced soil order map had a high accuracy.     

Soil texture prediction through stratification of a regional soil spectral library

Knowing the spatial distribution of soil texture,which is a physical property,is essential to support agricultural and environmental decision making.Soil texture can be estimated using visible,near infrared,and shortwave infrared(Vis-NIR-SWIR)spectroscopy.However,the performance of spectroscopic models is variable because of soil heterogeneity.Currently,few studies address the effects of soil sample variability on the performance of the models,especially for larger spectral libraries that include soils that are more heterogeneous.Therefore,the objectives of this study were to:i)apply Vis-based color parameters on the stratification of a regional soil spectral library;ii)evaluate the performance of the predictive models generated from the spectral library stratification;iii)compare the performance of stratified models(SMs)and the model without stratification(WSM),and iv)explain possible changes in prediction accuracy based on the SMs.Thus,a regional soil spectral library with 1535 samples from the State of Santa Catarina,Brazil was used.Soil reflectance data were obtained by Vis-NIR-SWIR spectroscopy in the laboratory using a spectroradiometer covering the 350–2500 nm spectral range.Sand,silt,and clay fractions were determined using the pipette method.Twenty-two components of color parameters were derived from the Vis spectrum using the colorimetric models.A cubist regression algorithm was used to assess the accuracy of the applicability of the initial models(SMs and WSM)and of the validation between the clusters.Fractional order derivatives(FODs)at 0.5,1.5,and 2 intervals were used to explain possible changes in the performance of the SMs.The SMs with higher contents of clay and iron oxides obtained the highest accuracy,and the most important spectral bands were identified,mainly in the 480–550 and 850–900 nm ranges and the 1400,1900,and 2200 nm bands.Therefore,stratification of soil spectral libraries is a good strategy to improve regional assessments of soil resources,reducing prediction errors in the qualitative determination of soil properties.     

自动土壤图基于知识的分类

A machine-learning approach was developed for automated building of knowledge bases for soil resources mapping by using a classification tree to generate knowledge from training data. With this method, building a knowledge base for automated soil mapping was easier than using the conventional knowledge acquisition approach. The knowledge base built by classification tree was used by the knowledge classifier to perform the soil type classification of Longyou County, Zhejiang Province, China using Landsat TM bi-temporal images and GIS data. To evaluate the performance of the resultant knowledge bases, the classification results were compared to existing soil map based on a field survey. The accuracy assessment mad maalysis of the resultant soil maps suggested that the knowledge bases built by the machine-learning method was of good quality for mapping distribution model of soll classes over the study area.     

利用烧失量方法精确测定土壤有机质

Wet oxidation procedure,i.e.,Walkley-Black (WB) method,is a routine,relatively accurate,and popular method for the determination of soil organic matter (SOM) but it is time-consuming,costly and also has a high potential to cause environmental pollution because of disposal of chromium and strong acids used in this analysis.Therefore,loss-on-ignition (LOI) procedure,a simple and cheap method for SOM estimation,which also avoids chromic acid wastes,deserves more attention.The aims of this research were to study the statistical relationships between SOM determined with the LOI (SOMLOI) and WB (SOMWB) methods to compare the spatial variability of SOM in two major plains,Shahrekord and Koohrang plains,of Chaharmahal-va-Bakhtiari Province,Iran.Fifty surface soil samples (0-25 cm) were randomly collected in each plain to determine SOM using the WB method and the LOI procedure at 300,360,400,500 and 550 ℃ for 2 h.The samples covered wide ranges of soil texture and calcium carbonate equivalent (CCE).The general linear form of the regression equation was calculated to estimate SOM LOI from SOM obtained by the WB method for both overall samples and individual plains.Forty soil samples were also randomly selected to compare the SOM and CCE before and after ignition at each temperature.Overall accuracy of the continuous maps generated for the LOI and WB methods was considered to determine the accordance of two procedures.Results showed a significant positive linear relationship between SOM LOI and SOM WB.Coefficients of determination (R2) of the equations for individual plains were higher than that of the overall equation.Coefficients of determination and line slopes decreased and root mean square error (RMSE) increased with increasing ignition temperature,which may be due to the mineral structural water loss and destruction of carbonates at higher temperatures.A temperature around 360 ℃ was identified as optimum as it burnt most organic carbon,destroyed less inorganic carbon,caused less clay structural water loss,and used less electrical energy.Although the trends of SOM in the kriged maps by the two procedures accorded well,low overall accuracy was observed for the maps obtained by the two methods.While not suitable for determination where high accuracy is required,determination of organic carbon through LOI is likely suitable for exploratory soil surveys where rough estimation of organic matter is required.     

田间尺度下测定土壤有效K、P的采样方法

Field nutrient distribution maps obtained from the sutdy on soil variations within fields are the basis of precision agriculture,The quality of these maps for maagement depends on the accuracy of the predicted values,which depends on the initial sampling.to Produce reliable predictions efficently the minimal sampling size and combination should be decided firstly,which could avoid the misspent funds for field sampling work.A 7.9 hectare silage field close to the Agricultural Research Institute at Hillaborough,Northern Irealnd,was selected for the study,Soil samples were collected from the field at 25m intervals in a rectangular grid to provide a database of selected soil propoerties.Different data combinations were subsequently abstracted from this database for comparison purposes,and ordinary krging used to produce interpolated soil maps.These prediced data groups were compared using least significant difference(LSD) test method.The results showed that the 62 sampling sizes of triangle arrangement for soil available K were sufficient to reach the required accuracy.The triangular sample combination proved to be superior to a rectangular one of similar sample size.     

基于地表昼夜温差的平原区土壤质地模糊聚类与预测制图

The use of landscape covariates to estimate soil properties is not suitable for the areas of low relief due to the high variability of soil properties in similar topographic and vegetation conditions.A new method was implemented to map regional soil texture (in terms of sand,silt and clay contents) by hypothesizing that the change in the land surface diurnal temperature difference (DTD) is related to soil texture in case of a relatively homogeneous rainfall input.To examine this hypothesis,the DTDs from moderate resolution imagine spectroradiometer (MODIS) during a selected time period,i.e.,after a heavy rainfall between autumn harvest and autumn sowing,were classified using fuzzy-c-means (FCM) clustering.Six classes were generated,and for each class,the sand (> 0.05 mm),silt (0.002-0.05 mm) and clay (< 0.002 mm) contents at the location of maximum membership value were considered as the typical values of that class.A weighted average model was then used to digitally map soil texture.The results showed that the predicted map quite accurately reflected the regional soil variation.A validation dataset produced estimates of error for the predicted maps of sand,silt and clay contents at root mean of squared error values of 8.4%,7.8% and 2.3%,respectively,which is satisfactory in a practical context.This study thus provided a methodology that can help improve the accuracy and efficiency of soil texture mapping in plain areas using easily available data sources.     

土壤温度系中瞬时现象重要性研究

The primary objective of this study was to investigate the impact of observation scale on the estimation of soil thermal properties. Transients are usually filtered out and ignored when classical Fourier approaches are used to deconstruct and model temperature time series. It was hypothesized that examination of such transients may be more important in identifying and quantifying short-term perturbations in internal soil heat transfer induced by agronomic disturbances. Data-logged temperatures were collected at 10-minute intervals from thermistor probes installed at 10 and 25 cm depths in isolated areas of two grassed plots. One plot （6T） had been treated twice with 6 Mg ha^-1 composted turkey litter as received. The other plot （NPK） was fertilized at the same time with NPK fertilizer. Various methods were used to analyze the series to obtain apparent soil thermal diffusivity （D-value） at various time scales. Results supported the hypothesis that short-term differences in internal soil heat transfer between the 6T and NPK plots were more manifest and effectively captured by estimated D-values calculated from the monthly and daily partial series. The 6T plot had higher soil organic matter content than the NPK plot and had lower apparent soil thermal diffusivity. Diurnal soil temperature amplitudes, required to calculate the mean D-values from partial series, were more effectively obtained using a temperature change rate method. The more commonly used Fourier analysis tended to be effective for this purpose when the partial series reasonably presented well-defined diurnal patterns of increasing and decreasing temperatures.     

Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data:A Case Study of Seffected South African Soils

Soil salinization is a land degradation process that leads to reduced agricultural yields. This study investigated the method that can best predict electrical conductivity (EC) in dry soils using individual bands, a normalized difference salinity index (NDSI), partial least squares regression (PLSR), and bagging PLSR. Soil spectral reflectance of dried, ground, and sieved soil samples containing varying amounts of EC was measured using an ASD FieldSpec spectrometer in a darkroom. Predictive models were computed using a training dataset. An independent validation dataset was used to validate the models. The results showed that good predictions could be made based on bagging PLSR using first derivative reflectance (validation R2 = 0.85), PLSR using untransformed reflectance (validation R2 = 0.70), NDSI (validation R2 = 0.65), and the untransformed individual band at 2257 nm (validation R2 = 0.60) predictive models. These suggested the potential of mapping soil salinity using airborne and/or satellite hyperspectral data during dry seasons.     

评估烧失量测定法测定中国西北干旱土壤有机和无机碳的研究

There is a need for determinations of soil organic carbon (SOC) and inorganic carbon (SIC) due to increasing interest in soil carbon sequestration. Two sets of soil samples were collected separately from the Yanqi Basin of northwest China to evaluate loss-on-ignition (LOI) method for estimating SOC and SIC in arid soils through determining SOC using an element analyzer, a modified Walkley-Black method and a LOI method with combustion at 375℃ for 17 h and determining SIC using a pressure calcimeter method and a LOI procedure estimated by a weight loss between 375 to 800℃. Our results indicated that the Walkley-Black method provided 99%recovery of SOC for the arid soils tested. There were strong linear relationships(r > 0.93, P < 0.001) for both SOC and SIC between the traditional method and the LOI technique. One set of soil samples was used to develop relationships between LOI and SOC(by the Walkley-Black method), and between LOI and SIC(by the pressure calcimeter method), and the other set of soil samples was used to evaluate the derived equations by comparing predicted SOC and SIC with measured values. The mean absolute errors were small for both SOC (1.7 g C kg-1) and SIC(1.22 g C kg-1), demonstrating that the LOI method was reliable and could provide accurate estimates of SOC and SIC for arid soils.     

海水胁迫对5种生态型菊芋生理生化的影响

Three treatments consisting of 0%, 15%, and 30% seawater were investigated to analyse the ecotypic variabilities among five populations of Jerusalem artichoke (Helianthus tuberosus)regarding their responses to seawater stress under a hydroponic culture system. Analyses were done 2, 4, and 6 days after treatments. The 15% and 30% seawater treatments reduced the growth rates of roots and shoots of H. tuberosus populations. The activities of superoxide dismutase, peroxidase, and catalase majored in the leaves were stimulated under the seawater stress. The electrolyte leakage and malondialdehyde contents of the leaves were also stimulated owing to seawater stress. The contents of proline and soluble-sugars in the leaves increased significantly with increasing seawater concentrations. The concentrations of Na⁺, K⁺, and Cl^- in the aerial parts and roots increased with an increase in the seawater concentration throughout the experimental period. There were ecotypic differences among the five populations of H. tuberosus as evidenced by the analyses of the above items in both aerial parts and roots under seawater treatment. The magnitude of the ecotypic variance components indicated that a substantial proportion of the total variation for these physiological and biochemical responses were owing to ecotype, indicating the possibility of improvement through hybridization and selection.     

两种菊芋耐盐差异研究

To explore genetic variability for two Jerusalem artichoke (Helianthus tuberosus) cultivars, N1 (the sixth-generation cultivated with 75% seawater irrigation for six years) and N7 (a general variety), a experiment was conducted to study the changes in physiological attributes under different concentrations (0%, 10% and 25% of seawater concentration in greenhouse and 0%, 30% and 50% of seawater concentration in the field) of seawater salinity stress. In the greenhouse experiment, decreases of dry growth rate, but increases of dry matter percentage and membrane injury occurred in both the genotypes at 10% and 25% seawater treatments, although lesser cell membrane damage was observed in N1 than N7. N1 accumulated greater contents of Na⁺, Cl^-, soluble sugar and proline in leaves compared with N7. In the field experiment, the yields of shoot, root and tuber, and the contents of total-sugar and inulin in tubers of N1 were higher than those of N7. Lesser degree of salt injury in N1 indicated that the relatively salt-tolerant cultivar had higher K⁺/Na⁺ ratio, lower Na⁺/Ca²⁺ ratio, and the salt-induced enhancement of osmotic adjustment.     

盐胁迫下马蔺的生理反应研究

Chinese iris （Iris lactea Pall. var. chinensis （Fisch） Koidz.）, a robust iridaceous plant, is widespread in arid and semiarid regions with high salinity. However, the mechanism of its salt tolerance is not well understood. In this study, plant growth, water status, content and distribution of inorganic ions, cell membrane permeability, and proline content of I. laetea under salt stress were investigated using nutrient solutions with six NaCl concentrations ranging from 0 to 350 mmol L^-1. The results indicated that the biomass, height, fresh weight, K^＋ content, and K^＋/Na^＋ and Ca^2＋/Na^＋ ratios decreased with increasing NaCl stress, whereas plant water deficit and contents of Na^＋ and Cl- increased with increasing NaCl stress. In all salt treatments, water deficit of shoots was found to be higher than that of roots and had a positive correlation with salt concentration. When the NaCl concentration was less than 280 mmol L^-1, the ion absorption selectivity ratio and the transportation selectivity ratio sharply increased with increasing NaCl stress. Under medium salt stress, I. lactea exhibited a strong K^＋ selective absorption and the transportation of K^＋ from roots to shoots increased, whereas Na^＋ was not transported and was mostly retained in roots. The plants were able to maintain osmotic adjustment through the accumulation of Na^＋, Cl-, and proline. On the basis of its biomass production under salt stress, I. lactea could be considered as a facultative halophyte.     

不同品种菊芋对海水处理响应的生理指标筛选

试验采用温室水培试验的方法，系统评价了7个典型品种菊芋对0.15％，30％海水的响应，并对不同品种菊芋对海水处理响应的生理指标进行了筛选。结果表明：在15％和30％海水处理下地上部和根鲜重、干重、含水率较对照降低，30％海水处理下更显著，而地上部和根Na^＋和Cl^-含量随海水浓度增加显著增加，在15％和30％海水处理下菊芋幼苗地上部和根K^＋含量均高于对照处理。菊芋幼苗地上部和根鲜重和干重与根部Na^＋含量呈极显著负相关，地上部和根鲜重与地上部和根部Cr含量呈显著负相关，地上部和根干重与地上部和根部K^＋含量呈显著正相关。根据菊芋在海水处理下的表现分为3种类型：高度耐海水型、中度耐海水型和低度耐海水型。在评价不同基因型菊芋对海水的响应时，地上部和根鲜重、干重及含水率的下降幅度和Na^＋、K^＋和Cl^-含量可作为主要的生理指标。     

盐胁迫下囊果碱蓬和陆地棉硝态氮低亲和吸收速率的差异及其生理分析

采用常规离子耗竭方法,以陆地棉(Gossypium hirsutum L.)为对照,在不同Cl-和NO3--N营养状况下,研究了盐生植物囊果碱蓬(Suaeda physophora Pall.)NO3-低亲和吸收动力学特征,探讨了盐胁迫下囊果碱蓬NO3-高效吸收的调控机制。结果表明:两种植物NO3-的低亲和吸收动力学呈线性吸收,且囊果碱蓬NO3-的净吸收速率和硝酸还原酶的活性显著高于陆地棉,说明囊果碱蓬具有较高的氮需求;10 mmol L-1KNO3预处理2 h后,囊果碱蓬和陆地棉地上部全氮的含量分别增加30.6%和36.8%;NO3-的净吸收速率分别降低了46.6%和45.5%,说明两种植物氮的吸收受到体内氮营养的负反馈调节;NaCl长期胁迫30 d显著抑制NO3-的吸收,陆地棉NO3-的净吸收速率下降幅度显著高于囊果碱蓬,而根系Cl-的含量显著高于囊果碱蓬;NO3-的净吸收速率与植物根系Cl-的含量呈显著性负相关,说明囊果碱蓬根系拒Cl-的能力显著高于陆地棉;NaCl或KCl短期胁迫2 h对囊果碱蓬NO3-的净吸收速率没有显著影响,但陆地棉NO3-的净吸收速率分别降低了43.8%和37.5%。研究结果证明了盐胁迫下囊果碱蓬NO3-的高效吸收与植物内部的高氮需求和Cl-的累积有关,而培养介质中Cl-的浓度对NO 3-的低亲和转运系统影响较小。     

盐生植物海蓬子对不同形式的氮源的响应

Salt-affected soils are agricultural and environmental problems on a global scale. Plants suffer from saline stresses in these soils and show nitrogen (N) deficiency symptoms. However, halophytes grow soundly under saline conditions. In order to clarify the N nutrition of the halophyte Salicornia bigelovii, it was grown at several N levels (1, 2, 3, and 4 mmol L^-1), supplied in the form of NO₃^- or ammonium (NH₄⁺), under high NaCl conditions (200 mmol L^-1). NH₄⁺-fed plants showed better growth than NO₃^--fed plants at 1-3 mmol L^-1 N, and plants in both treatments showed the same growth at 4 mmol L^-1 N. Nitrogen contents in NO₃^--fed plants increased with the N concentrations in solution; competitive inhibition of NO₃^- absorption by Cl^- was observed under lower N conditions. In addition, shoot dry weight was significantly correlated only with shoot N content. Therefore, growth of NO₃^--fed plants was regulated by N absorption. Inc ontrast, N contents of shoots in NH₄⁺-fed plants did not change with N concentration. Shoot Na content decreased with increasing N concentration, while K content increased. Dry weight was highly correlated only with K content in NH₄⁺-fed plants. These observations indicated that growth of NH₄⁺-fed plants was mainly regulated by K absorption.     

莱州湾海涂海水灌溉菊芋的磷肥效应的研究

在连续3年莱州湾海涂海水灌溉试验的基础上,2003年就不同浓度海水灌溉菊芋的磷肥效应进行了田间试验研究。结果表明,在海水灌溉下,磷肥对菊芋的增加产量与增产幅度均高于淡水灌溉,在50%海水浓度范围内,随着灌溉海水浓度增加磷肥的增产效应也逐渐提高,以50%浓度海水灌溉磷肥增产效应最大;海水灌溉下,施磷肥能显著促进菊芋对K+、Ca2+和Mg2+等有益离子的吸收与运输,尤其是明显提高菊芋在海水灌溉下的SK,Na,而抑制菊芋对Na+及Cl-等有害离子的吸收;在75%的海水浓度范围内,灌溉的海水浓度越高,磷肥对上述离子的影响强度越大;海水灌溉下,施用磷肥明显促进菊芋根部氮的含量,P3(P2O560kg/hm2)与P1(P2O50kg/hm2)处理相比较,在淡水、25%海水、50%海水、75%海水灌溉处理下,菊芋根部含氮量增加0.43、0.64、0.64、0.51个百分点。     

半干旱地区海涂海水灌溉对不同品系菊芋产量构成及离子分布的影响

在半干旱海涂以不同品系菊芋（Helianthus tuberosusL．）为材料进行田间试验，研究了海水灌溉对不同品系菊芋产量构成及离子分布的影响。结果表明：（1）南芋2号根和地上部生物量较其他品系大，南芋5号和南芋3号株高在各浓度海水灌溉下均显著高于其他菊芋品系，而茎粗在各处理下变化不一致，在30％海水灌溉下，南芋1号根和地上部物质积累未受到抑制作用，其他各品系菊芋的根和地上部物质积累受到了一定抑制。（2）各菊芋品系块茎产量差异较显著，在30％海水灌溉下，南芋2号产量显著高于其他品系，各菊芋品系块茎单重在各处理下差异也较显著，南芋1号和2号块茎单重最大，各菊芋品系块茎总糖和菊糖含量差异较显著。（3）随海水浓度的增加，各品系菊芋根、茎和叶的C1-和Na^＋含量均增加，但品系间差异较显著，叶片的Na’含量显著低于根和茎的Na’含量。从生物积累量和块茎产量、总糖和菊糖含量及离子分布看，南芋1号和南芋2号较其他品系更适合在半干旱海涂利用适当浓度海水进行灌溉种植。     

华北平原海水灌溉对土壤性质和菊芋产量的影响

Irrigation with various dilutions of seawater can act as an alternate water resource and thus plays an important role in saving freshwater resources as well as promoting agriculture in the coastal semi-arid areas of the North China Plain. Jerusalem artichoke （Helianthus tuberosus L.） grown in a field experiment was irrigated with seawater diluted with freshwater from 2001 to 2003 to determine the feasibility of seawater irrigation in the Laizhou area. For treatments of CK （non-irrigation） along with seawater concentrations of 25%, 50%, and 75%, total dissolved solid （TDS） in the non-irrigated soil significantly increased （P ≤ 0.05） in both 2002 and 2003 and was 1.3 times higher in 2003 than in 2001. In the 25% and 50% seawater concentration treatments, TDS in 2001 was significantly greater （P ≤ 0.05） than CK; however, TDS in these two treatments decreased by 34.9% and 40.1%, respectively, in 2003 compared with 2001. The sodium adsorption ratio （SAR） remained below 10 mmol^1/2 L^-1/2, indicating that alkalization was low with seawater irrigation. In 2001 and 2002, compared to CK and the irrigation treatment with 75% seawater, irrigation with 25% and 50% seawater increased the yields of Jerusalem .artichoke. This meant that Jerusalem artichoke could be safely grown in salt-affected land of Laizhou area with 25% and 50% seawater irrigation.     

施氮对镉胁迫下杂交相思树生长及镉吸收分配的影响

【目的】研究不同水平氮的供应对木本固氮植物杂交相思树适应镉环境胁迫及其生物修复能力的影响,可为有目的地进行相思树栽培提供施肥依据。【方法】以杂交相思树 (Acacia mangium × Acacia auriculiformis) 为试材进行了盆栽试验。Cd2+ 设3个水平(0、30、60 mg/kg),在Cd2+ 30 mg/kg的基础上设施尿素2个水平(0.4、0.8 g/kg) ,共5个处理。研究了杂交相思幼苗的干物质、氮(N)、磷(P)、钾(K)、镉(Cd)的积累和分配规律。【结果】Cd2+ 胁迫显著抑制了杂交相思幼苗根、茎、叶和总干物质的积累,限制了N、P、K等元素的吸收和积累;杂交相思Cd转移系数为0.044～0.224,根Cd含量明显高于茎和叶,并且根部Cd累积能力要大于地上部;但Cd2+ 60 mg/kg胁迫下,杂交相思通过向地上部分转移Cd以更好地适应强胁迫环境。Cd2+ 30 mg/kg胁迫下,高氮 (0.8 g/kg) 较低氮 (0.4 g/kg) 更显著地促进了茎、叶和植株总的P、K积累,而低氮更有效地增加了根的N、P、K积累量;高氮较低氮更显著地提高了茎、叶干重以及干物质在茎叶中的分配比例,低氮则提高了根干重以及干物质在根中的分配比例和根冠比;Cd2+ 胁迫下施氮显著促进了杂交相思对Cd的吸收和积累,提高了Cd转移系数;低氮更显著地促进了根、叶和总Cd的积累,高氮更显著地促进了茎Cd的积累及Cd在茎、叶中的分配比例。【结论】Cd2+ 胁迫下杂交相思通过改变干物质及N、P、K、Cd积累和分配规律以及提高N、P和K利用率的方式,保证根系生长,以更好地适应胁迫环境。低Cd2+ 胁迫下 (30 mg/kg),施氮可缓解杂交相思由镉胁迫所引起的对N、K吸收的抑制,促进杂交相思各器官干物质以及N、P、K、Cd的积累。低施氮量 (尿素 0.4 g/kg) 促进相思树生长的效果更佳,高施氮量 (尿素 0.8 g/kg) 促进Cd向地上部的运转,提高其对Cd生物修复能力。