共查询到19条相似文献，搜索用时 218 毫秒
1.
Due to the lack of regulation and environmental education and awareness, Sepahanshahr located in vicinity of Isfahan City, central Iran, is now a rapid growing residential area suffering from the considerable consequences of poorly regulated mining activities operating in its vicinity. A survey was carried out on soil Pb, Zn and Cd concentrations around Sepahanshahr Town to explore the spatial structure of Pb, Zn and Cd distribution and to map their concentrations using geostatistical techniques. 100 near-surface soil samples were collected and analyzed for Pb, Zn and Cd and some related soil physical and chemical variables such as pH, organic matter content, electrical conductivity, and clay, silt and sand contents. The variography results showed a strong spatial dependency in heavy metals concentration due to the dilution effects of natural factors including atmospheric dispersion and precipitation. The almost same range values calculated for both ln-transformed Pb and sand data suggested presence of spatial co-regionalization. However, ln-transformed Zn data showed a shorter spatial dependency among the three tested heavy metals. Kriged maps of all three heavy metals showed a strong gradient of contamination around the three mining sites activating in the area. The results of this study provide insight into identification of the extent and spatial variability of Pb, Zn and Cd pollution in the mining sites and surrounding urban areas. 相似文献
2.
中国东南地区两土链土壤中土壤性质和水稻产量的空间变异研究 总被引：4，自引：0，他引：4
In the light of an increasing demand for staple food, especially rice, in southeast China, investigations on the specific site potential expressed as the relationship between soil and crop yield parameters gain increasing importance. Soil texture and several soil chemical parameters as well as plant properties such as crop height, biomass and grain yield were investigated along two terraced catenas with contrasting soil textures cropped with wet rice. We were aiming at identifying correlative relationships between soil and crop properties. Data were analyzed both statistically and geostatistically on the basis of semivariograms. Statistical analysis indicated a significant influence of the relief position on the spatial distribution of soil texture, total carbon and total nitrogen contents. Significant correlations were found for the catena located in a sandstone area （Catena A） between rice yield and silt as well as total nitrogen content. Corresponding relationships were not detectable for paddy fields that developed from Quaternary clays （Catena B）. As suggested by the nugget to sill ratio, spatial variability of soil texture, total carbon and nitrogen was mainly controlled by intrinsic factors, which might be attributed to the erosional transport of fine soil constituents, indicating the importance of the relief position and slope in soil development even in landscapes that are terraced. The crop parameters exhibited short ranges of influence and about one third of their variability was unexplained. Comparable ranges Of selected crop and soil parameters, found only for Catena A, are indicative of close spatial interactions between rice yield and soil features. Our findings show that especially in sandstone-dominated areas, a site-specific management can contribute to an environmentally safe rice production increase. 相似文献
3.
内蒙古荒漠化草地土壤碳、氮养分及土壤呼吸的空间异质性研究 总被引：3，自引：0，他引：3
There is a limited knowledge of spatial heterogeneity in soil nutrients and soil respiration in the semi-arid and arid grasslands of China. This study investigated the spatial differences in soil nutrients and soil respiration among three desertified grasslands and within two shrub-dominated communities on the Ordos Plateau of Inner Mongolia, China in 2006. Both soil organic carbon (SOC) and total nitrogen (TN) were significantly different (P < 0.01) among the three desertified grasslands along a degradation gradient. Within the two shrub-dominated communities, the SOC and TN contents decreased with increasing distance from the main stems of the shrub, and this “fertile island” effect was most pronounced in the surface soil. The total soil respirations during the growing season were 131.26, 95.95, and 118.66 g C m-2, respectively, for the steppe, shrub, and shrub-perennial grass communities. The coefficient of variability of soil respiration was the highest in the shrub community and lowest in the steppe community. CO2 effluxes from the soil under the canopy of shrub were significantly higher than those from the soil covered with biological crusts and the bare soil in the interplant spaces in the shrub community. However, soil respiration beneath the shrubs was not different from that of the soil in the inter-shrub of the shrub-perennial grass community. This is probably due to the smaller shrub size. In the two shrub-dominated communities, spatial variability in soil respiration was found to depend on soil water content and C:N ratio. 相似文献
4.
基于决策树模型的土壤有机质制图 总被引：4，自引：0，他引：4
Based on a case study of Longyou County, Zhejiang Province, the decision tree, a data mining method, was used to analyze the relationships between soil organic matter (SOM) and other environmental and satellite sensing spatial data.The decision tree associated SOM content with some extensive easily observable landscape attributes, such as landform,geology, land use, and remote sensing images, thus transforming the SOM-related information into a clear, quantitative,landscape factor-associated regular system. This system could be used to predict continuous SOM spatial distribution.By analyzing factors such as elevation, geological unit, soil type, land use, remotely sensed data, upslope contributing area, slope, aspect, planform curvature, and profile curvature, the decision tree could predict distribution of soil organic matter levels. Among these factors, elevation, land use, aspect, soil type, the first principle component of bitemporal Landsat TM, and upslope contributing area were considered the most important variables for predicting SOM. Results of the prediction between SOM content and landscape types sorted by the decision tree showed a close relationship with an accuracy of 81.1%. 相似文献
5.
Yazhou SUN Wenxuan GUO David C. WEINDORF Fujun SUN Sanjit DEB Guofeng CAO Jasmine NEUPANE Zhe LIN Abir RAIHAN 《土壤圈》2021,31(5):705-714
Excess calcium(Ca) in soils of semi-arid and arid regions has negative effects on soil structure and chemical properties, which limits the crop root growth as well as the availability of soil water and nutrients. Quantifying the spatial variability of soil Ca contents may reveal factors influencing soil erosion and provide a basis for site-specific soil and crop management in semi-arid regions. This study sought to assess the spatial variability of soil Ca in relation to topography, hydraulic attributes, and soil types for precision soil and crop management in a 194-ha production field in the Southern High Plains of Texas,USA. Soils at four depth increments(0–2, 0–15, 15–30, and 30–60 cm) were sampled at 232 points in the spring of 2017. The Ca content of each sample was determined with a DP-6000 Delta Premium portable X-ray fluorescence(PXRF) spectrometer. Elevation data was obtained using a real-time kinematic GPS receiver with centimeter-level accuracy. A digital elevation model(DEM) was derived from the elevation data, and topographic and hydraulic attributes were generated from this DEM. A generalized least-squares model was then developed to assess the relationship between soil Ca contents of the four layers and the topographic and hydraulic attributes. Results showed that topographic attributes, especially slope and elevation, had a significant effect on soil Ca content at different depths(P 0.01). In addition, hydraulic attributes, especially flow length and sediment transport index(STI), had a significant effect on the spatial distribution of soil Ca. Spatial variability of soil Ca and its relationships with topographic and hydraulic attributes and soil types indicated that surface soil loss may occur due to water or wind erosion, especially on susceptible soils with high slopes. Therefore, this study suggests that the application of PXRF in assessing soil Ca content can potentially facilitate a new method for soil erosion evaluation in semi-arid lands. The results of this study provide valuable information for site-specific soil conservation and crop management. 相似文献
6.
The priming effect (PE) plays a critical role in the control of soil carbon (C) cycling and influences the alteration of soil organic C (SOC) decomposition by fresh C input.However,drivers of PE for the fast and slow SOC pools remain unclear because of the varying results from individual studies.Using meta-analysis in combination with boosted regression tree (BRT) analysis,we evaluated the relative contribution of multiple drivers of PE with substrate and their patterns across each driver gradient.The results showed that the variability of PE was larger for the fast SOC pool than for the slow SOC pool.Based on the BRT analysis,67%and 34%of the variation in PE were explained for the fast and slow SOC pools,respectively.There were seven determinants of PE for the fast SOC pool,with soil total nitrogen (N) content being the most important,followed by,in a descending order,substrate C:N ratio,soil moisture,soil clay content,soil pH,substrate addition rate,and SOC content.The directions of PE were negative when soil total N content and substrate C:N ratio were below 2 g kg~(-1)and 20,respectively,but the directions changed from negative to positive with increasing levels of this two factors.Soils with optimal water content (50%–70%of the water-holding capacity) or moderately low pH (5–6) were prone to producing a greater PE.For the slow SOC pool,soil p H and soil total N content substantially explained the variation in PE.The magnitude of PE was likely to decrease with increasing soil pH for the slow SOC pool.In addition,the magnitude of PE slightly fluctuated with soil N content for the slow SOC pool.Overall,this meta-analysis provided new insights into the distinctive PEs for different SOC pools and indicated knowledge gaps between PE and its regulating factors for the slow SOC pool. 相似文献
7.
江苏省外生菌根真菌资源调查 总被引：16，自引：0，他引：16
A total of 1400 soil samples from the plow layer （0-20 cm） at an approximate interval of 5 km were collected in the autumn of 2002 over the entire black soil arable crops region to determine the spatial variability of seven variables, such as total organic matter content （OMC）, total N, total P, total K, alkali-dissolvable N （AN）, available P （AP） and available K （AK）, with classical statistics and geostatistical analysis across the entire black soil area in Northeast China. In nonsampled areas ordinary kriging was utilized for interpolation of estimated nutrient determinations. Classical statistics revealed highly significant （P ≤ 0.01） correlations with all seven of the soil properties, except for OMC with AP and total K with AK. In addition, using coefficients of variation, all soil properties, except for total K, were moderately variable. A geostatistical analysis indicated that structural factors, such as parent material, terrain, and water table, were the main causes of the spatial correlations. Strong spatial correlations were noted with OMC, total N, total P, AN, and AP, while they were moderate for total K and AK. The effective spatial autocorrelation of OMC, total N, total P, and AN ranged from 1 037 to 1353 km, whereas the ranges of total K, AP, and AK were only from 6 to 138 km. The fit of the experimental scmi-variograms to the theoretical models indicated that except for AN, kriging could successfully interpolate other six variables. Thns, the geostatistical method used on a large scale could accurately evaluate the spatial variability of most black soil nutrient properties in Northeast China. 相似文献
8.
华北半干旱区土壤养分和植被特征的小尺度空间异质性研究 总被引：8，自引：0，他引：8
A field experiment was conducted at Kezuohouqi County, Inner Mongolia Autonomous Region of China, which was located on the southeastern edge of the Horqin Sandy Land, to study the spatial variability of soil nutrients for a small-scale, nutrient-poor, sandy site in a semi-arid region of northern China; to investigate whether or not there were ＂islands of fertility＂ at the experimental site; and to determine the key nutrient elements that sustained ecosystem stability. Results obtained from geostatistical analysis indicated that the spatial distribution pattern of soil total nitrogen （STN） was far different from those of soil organic matter （SOM）, total phosphorus （STP）, and total potassium （STK）. Compared to SOM, STP, and STK, STN had a lower structural heterogeneity ratio and a longer range, while other elements were all similar. In addition, STN had an isotropic spatial structure, whereas the others had an anisotropic spatial structure. The spatial structure patterns of herbage species, cover, and height also differed, indicating that spatial variability was subjected to different ecological factors. Differences in the spatial variability patterns among soil nutrients and vegetation properties showed that soil nutrients for a small-scale were not the primary limiting factors that influenced herbage spatial distribution patterns. Incorporating spatial distribution patterns of tree species, namely, Pinus sylvestris var. mongolica Litv. and shrub Lespedeza bicolor Turcz. in a research plot and using fractal dimension, SOM, STP, and STK were shown to contribute to the ＂islands of fertility＂ phenomenon, however STN was not, possibly meaning that nitrogen was a key limiting element. Therefore, during restoration of similar ecosystems more attention should be given to soil nitrogen. 相似文献
9.
稻米和土壤微量元素的空间变异 总被引：1，自引：0，他引：1
Consumption of rice is the main source of micronutrients to human in Asia. A paddy field with unknown anthropogenic contamination in Deqing County, Zhejiang Province, China was selected to characterize the spatial variability and distribution of micronutrients in rice grain and soil. A total of 96 paired soil and rice grain samples were collected at harvest. The micronutrients in the soil samples were extracted by diethylenetriamine pentaacetic acid (DTPA). The mean micronutrient concentrations in rice grain were 3.85 μg Cu g-1, 11.6 μg Fe g-1, 39.7 μg Mn g-1, and 26.0 μg Zn g-1. The mean concentrations were 2.54 μg g-1 for DTPA-Cu, 133.5 μg g-1 for DTPA-Fe, 30.6 μg g-1 for DTPA-Mn, and 0.84 μg g-1 for DTPA-Zn. Semivariograms showed that measured micronutrients in rice grain were moderately dependent, with a range distance of about 110 m. The concentrations of the DTPA-extractable micronutrients all displayed strong spatial dependency, with a range distance of about 60 m. There was some resemblance of spatial structure between soil pH and the grain Cu, Fe, Mn, and Zn. By analogy, similar spatial variation was observed between soil organic matter (SOM) and DTPA-extractable micronutrients in the soil. Kriging estimated maps of the attributes showed the spatial distributions of the variables in the field, which is beneficial for better understanding the spatial variation of micronutrients and for potentially refining agricultural management practices at a field scale. 相似文献
10.
WANG Mei-Yan SHI Xue-Zheng YU Dong-Sheng XU Sheng-Xiang TAN Man-Zhi SUN Wei-Xi ZHAO Yong-Cun 《土壤圈》2013,23(6):799-807
The agricultural soil carbon pool plays an important role in mitigating greenhouse gas emission ana unaerstanamg the son orgamc carbon-climate-soil texture relationship is of great significance for estimating cropland soil carbon pool responses to climate change. Using data from 900 soil profiles, obtained from the Second National Soil Survey of China, we investigated the soil organic carbon （SOC） depth distribution in relation to climate and soil texture under various climate regimes of the cold northeast region （NER） and the warmer Huang-Huai-Hai region （HHHR） of China. The results demonstrated that the SOC content was higher in NER than in HHHR. For both regions, the SOC content at all soil depths had significant negative relationships with mean annual temperature （MAT）, but was related to mean annual precipitation （MAP） just at the surface 0-20 cm. The climate effect on SOC content was more pronounced in NER than in HHHR. Regional differences in the effect of soil texture on SOC content were not found. However, the dominant texture factors were different. The effect of sand content on SOC was more pronounced than that of clay content in NER. Conversely, the effect of clay on SOC was more pronounced than sand in HHHR. Climate and soil texture jointly explained the greatest SOC variability of 49.0% （0-20 cm） and 33.5% （20-30 cm） in NER and HHHR, respectively. Moreover, regional differences occurred in the importance of climate vs. soil texture in explaining SOC variability. In NER, the SOC content of the shallow layers （0-30 cm） was mainly determined by climate factor, specifically MAT, but the SOC content of the deeper soil layers （30-100 cm） was more affected by texture factor, specifically sand content. In HHHR, all the SOC variability in all soil layers was predominantly best explained by clay content. Therefore, when temperature was colder, the climate effect became stronger and this trend was restricted by soil depth. The regional differences and soil depth influence underscored the importance of explicitly considering them in modeling long-term soil responses to climate change and predicting potential soil carbon sequestration. 相似文献
11.
通过野外实地调查与室内试验,以长汀县为研究区,在GIS的支持下,运用地统计学方法分析南方花岗岩红壤典型区表层土壤有机质的空间变异特征。结果表明:研究区土壤有机质质量分数总体水平中等并具有中等的空间相关性,平均为2.73%;变异系数为72.73%,属中等变异;由空间自相关部分引起的空间变异性程度较大,C0/(C0+C)值为47.13%,变程为21.48km;在空间分布上呈现四周高中间低的分布特征,在中部地区形成连片的低值区,西部有机质质量分数整体较高,存在最高值。研究成果可为南方花岗岩红壤侵蚀退化地的生态恢复与重建提供参考。 相似文献
12.
基于土壤系统分类的河南省土壤有机质时空变异研究 总被引：2，自引：0，他引：2
利用1982年河南省第二次土壤普查数据和2009年采样数据,采用传统统计学、地统计学和地理信息系统（GIS）的方法,在土壤系统分类的基础上,对产粮大省河南省土类土壤有机质（SOM）含量时空变异特征进行了分析研究,揭示了不同土类SOM时空变异规律,并分析讨论了影响其时空变异的主要原因,对河南省不同土壤类型的合理施肥与养分调控具有指导和借鉴意义。结果表明：从1982年到2009年,河南省SOM含量均值由12.21g kg-1增加至16.02 g kg-1,增加了31.70%,变异系数分别为67.90%和35.52%。两个时期SOM变异函数均符合球状模型,块金效应值由56.10%变为60.18%,变程由569.05km变为547.22km,SOM含量空间自相关性变弱,自相关距离减小。河南省SOM自西向东逐渐增加,平原地区增加较多,而河南省南部、偏北部和西部山区地区有所减少;系统分类中的底锈干润雏形土、淡色潮湿雏形土、灌淤旱耕人为土、干润冲积新成土、干润砂质新成土、简育湿润变性土、简育湿润雏形土SOM平均含量从1982年到2009年有较大的提高,分别提高了5.76g kg-1、5.61g kg-1、5.56g kg-1、5.47g kg-1、5.42g kg-1、4.99g kg-1、3.05g kg-1,而湿润正常新成土和干润正常新成土SOM含量有所降低,分别降低了2.47g kg-1和1.90g kg-1。因成土母质、气候条件、土壤质地、土地利用方式和人为活动的影响使得河南省不同土类的SOM出现时间和空间上的差异。SOM含量增加的土类主要分布在平原耕地地区,秸秆还田以及有机肥的施入,使该区域SOM含量有较大程度的提高。 相似文献
13.
为评价区域农田土壤肥力及优化农业生产管理措施,选取渝东南地区黔江区为研究区域,基于重庆市测土配方施肥的615个表层(0~20 cm)土样数据,运用地统计学和地理信息系统(GIS)相结合的方法分析黔江区土壤有机碳(SOC)的空间分布特征及其影响因素。结果表明,研究区土壤表层SOC含量为13.27 g·kg-1,变异系数为31.44%,具有中等程度的空间变异且空间自相关范围较大。块金效应为45.59%,空间分布受结构性因素和随机性因素的共同影响。研究区SOC分布呈斑块状,总体表现为东高西低。方差分析和回归分析表明,成土母质、土壤类型、土地利用方式及坡度、坡向对SOC的空间分布的影响极显著(P<0.01),土壤质地、海拔高度的影响显著(P<0.05)。随着海拔的增加,土壤中SOC含量也逐渐增加。而随着坡度增加,土壤中SOC含量呈先降低后增加的趋势。本研究结果为渝东南农田SOC管理及农作物合理施肥提供了理论依据。 相似文献
14.
《Communications in Soil Science and Plant Analysis》2012,43(12):1452-1464
ABSTRACTSoil texture is a key controlling factor of soil properties and its functions include water and nutrient holding capacity, retention of pollutants, root development, soil biodiversity, and biogeochemical cycling. From the geotechnical standpoint, it is interesting to analyze the soil texture in regions due to its relation with the infiltration and runoff processes and, consequently, the effect on erosion processes. The purpose of this study is to present a methodology that provides the soil texture spatial variation by using Fuzzy logic theory and geostatistical technique in Geographic Information System (GIS) platform. A total of 140 soil samples were taken from topsoil (0–30 cm) in the study area located in the north of Guilan Province, the southern coast of Caspian Sea, Northern Iran. The soil textural classes were converted to numerical values (fuzzy values) using the fuzzy logic concept. The fuzzy values were spatially interpolated by ordinary kriging method such that the fitted model on experimental semi-variogram was exponential with moderate structure. The results showed the accuracy of soil texture predictive map was acceptable according to the values of normalized root-mean-square error for train data set (0.182) and test data set (0.179). The knowledge of the spatial variability of soil properties such as the soil texture can be an important tool for land-use planning in order to reduce the potential soil losses during rainy seasons. The results indicated that the integration of fuzzy logic, geostatistics, and GIS can improve the interpolation process. 相似文献
15.
Huijuan Zhang Hebing Zhang Liangxin Fan Shouchen Ma 《Acta Agriculturae Scandinavica, Section B - Plant Soil Science》2020,70(2):117-127
ABSTRACTUnderground mining has caused drastic disturbances to regional ecosystems and soil nutrients. Understanding the three-dimensional (3D) spatial distribution of soil nutrients in mining area farmland is crucial for agricultural production and environmental management. However, few studies have reported the 3D spatial distribution of soil organic matter (SOM) in coal mining subsidence area. In our study, a sequential Gaussian simulation (SGS) algorithm was used to analyse the spatial distribution of SOM based on observations of 180 soil samples in the Zhaogu mine in China. The results showed that the SOM content had considerable variation in spatial distribution at different soil depths (0–20, 20–40, 40–60?cm) and decreased with the increase in soil depth. The spatial variability of surface organic matter was the largest, and the coefficient of variation was 29.38%, which was moderately mutated. The spatial distribution of SOM also varied among slope locations. The SOM content was higher upslope and downslope than on the middle slope. In addition, given a threshold, SGS can be used to calculate the probability that the organic matter content at any position is lower or higher than the given value. The research results provide a reference for land reclamation and precision agriculture. 相似文献
16.
江苏省土壤有机质含量时空变异特征及驱动力研究 总被引：2，自引：0，他引：2
土壤有机质(SOM)含量是估算土壤碳储量、评价土壤肥力的重要指标,研究SOM时空演变对评估区域土壤固碳潜力,实现土壤可持续利用具有重要意义。以江苏省为例,利用全国第二次土壤普查资料和2006年采样数据,基于地统计学方法和GIS技术,对比研究了1980 - 2006年全省范围内表层(0 ~ 20 cm)SOM含量的时空变异特征及其驱动因子。结果表明：1980年和2006年江苏省SOM平均含量分别为16.55 ± 8.50 g kg-1和18.31 ± 8.32 g kg-1,变异系数分别为51.36%和45.44%。两个时期SOM的变异函数均符合指数模型,块金系数由51.85%增加为56.52%,变程由71.55 km减少至37.83 km,SOM含量的空间自相关性减弱,自相关距离减小。1980-2006年,SOM含量空间分布呈现出北增南减,沿江平原增,宁镇丘陵减,滨海平原基本持平的空间格局,增加幅度由北向南逐渐减小。SOM含量的初始值影响其空间格局的演变,总体上呈现初始SOM含量的高值降低、低值增加的趋势。肥料的大量使用在提高粮食产量的同时也增加了作物残茬和根系的生物量;秸秆还田的大力推行,使得大量的有机物质进入土壤,促进了SOM的累积。不同的土地利用变化对SOM含量变化的作用不同,土地利用方式转变成水田、旱地和林地促进了SOM的增加,而转变成荒地后导致SOM含量下降。 相似文献
17.
银川平原土壤盐分及盐渍土的空间分布格局 总被引：21，自引：10，他引：11
系统认识和掌握盐渍土的空间分布特征,是治理改良盐渍土的基础。在总面积约6 184.9 km2的银川平原引黄灌区布设101个采样点,分层（0～180 cm）测定了土壤全盐量,应用地统计学方法结合GIS技术对其空间分布特征进行了研究。结果表明,银川平原各层土壤盐分的分布类型均比较复杂,呈高度的偏态分布。土壤盐分的变异属于中等变异强度。0～120 cm土层盐分的空间相关距离一般在20～28 km;而深层（＞120 cm）土壤的空间相关距离较大,约34 km。银川平原表层土壤属于非盐化土、轻度、中度、重度盐渍土和盐土的土地面积分别为0、1 508.8、3 614.9、982.6和78.6 km2,总体属于中度和轻度盐化土类型,且呈现一定的盐分表聚趋势。重度盐渍土和盐土主要分布在银北的石嘴山市、平罗县、惠农县一带和银南的部分地区。总体来说,银川平原的土壤盐渍化现象依然严重,应加强研究与治理改良。 相似文献
18.
丘陵红壤蔗区土壤有机质的时空变异特征 总被引：12，自引：3，他引：12
采用地统计学和GIS相结合的方法，研究了甘蔗连作19年(1980～1999年)的低丘陵红壤蔗区土壤有机质含量的时空变异特征。研究结果表明：由于土壤侵蚀和土地利用格局的影响，1980年的土壤有机质与地形坡度为极显著负相关。在长期甘蔗连作下，地形坡度对1999年的土壤有机质空间分布已没有影响，而有机肥施用的侧重方向使得土壤有机质与经纬度、海拔高度都有相关性。土壤有机质的时空变异与蔗区耕作管理的精细化程度有关，精细化程度高的高产蔗区的土壤有机质平均降幅为11％，而精细化程度低的低产蔗区土壤有机质则平均增幅为50％。大量施用源自甘蔗的有机肥已造成蔗区土壤养分的不平衡。 相似文献
19.
潮土区土壤有机质含量的趋势演变研究——以禹城市为例 总被引：10，自引：1，他引：10
通过分析山东省禹城市100个采样点1980年和2003年耕层土壤的有机质含量,研究了土壤有机质的时空变异特征,探讨了潮土区有机质含量的变化,形成了研究区1980年和2003年有机质含量空间分布图及1980~2003年有机质含量的空间变化图。分析了研究区有机质含量增加的原因。研究结果表明,该市目前土壤有机质含量平均为14.68g kg-1,比1980年的6.0g kg-1增加了8.68 g kg-1,年均提高0.38g kg-1。土壤表层含盐量的降低为土壤养分含量提高提供了条件。 相似文献