基于景观及微地形特征的丘陵区土壤属性预测

为探讨小流域尺度丘陵区的高分辨率数字土壤制图方法,通过对景观相分类的探索,配合应用不同尺度的Geomorphons(GM)微地形特征数据构成分类变量组参与高分辨率土壤pH、黏粒含量和阳离子交换量的预测制图,并与传统数字高程模型衍生变量和遥感变量进行组合与比较分析。此外,采用支持向量机、偏最小二乘回归和随机森林3种机器学习模型择优与残差回归克里金复合参与预测模型的构建与评价。结果表明: 景观及多尺度微地形分类变量组的应用分别提高小流域尺度丘陵地貌区pH、黏粒含量和阳离子交换量预测精度的18.8%、8.2%和8.7%。包含植被信息的景观相分类图相比土地利用数据有更高的模型贡献度;5 m分辨率的GM微地形分类图相比低分辨率的分类图更适宜高精度的预测制图。黏粒含量使用随机森林复合模型有最高的预测精度,而pH和阳离子交换量则不适宜在随机森林模型的基础上加入残差回归克里金模型。景观-多尺度微地形分类变量、数字高程模型衍生变量和遥感变量三者结合的模型预测表现最佳,表明多元变量在起伏地形区域相比单一数据源能够包含更多的土壤有效信息。由GM数据和地表景观数据组成的景观分类变量组作为主要变量能够解释小流域丘陵区部分土壤属性约40%的空间变异。在同类型土壤预测制图研究中,多分辨率GM及景观分类数据有潜力作为环境变量参与预测模型的构建。     

黄水河小流域土壤养分分布及其与地形的关系

基于GIS和地统计学原理,对丹江口水库水源区黄水河小流域土壤养分空间分布及其与地形因子间的关系进行分析.结果表明： 研究区土壤全氮、全磷、有机质的变异系数分别为51%、66%和85%,为中等变异,土壤速效磷的变异系数为161%,属强变异;土壤全氮和有机质表现为显著正向空间自相关,速效磷和全磷的空间自相关性较弱;海拔是影响该区土壤养分分布的主要因素,其对全氮、全磷和有机质都具有极显著影响,坡度和剖面曲率显著影响全氮和有机质分布.建立了地形因子与土壤养分含量空间分布的回归预测方程,并进行了数字化制图输出,为研究区土壤资源的精确管理提供了数据支持.     

基于电磁感应技术的土壤剖面盐分空间分布建模研究

土壤盐渍化问题是干旱半干旱地区农业发展的主要障碍,也是制约荒漠植物生长状况的关键因素之一,严重影响到绿洲生态环境的稳定与安全。研究土壤剖面盐分的分布情况,能及时探究盐渍化对生态的影响。以渭干河-库车河三角洲绿洲为研究靶区,利用电磁感应仪技术与传统采样方法获取该地区典型地块的土壤电导率,剖析其剖面分布特征,在建立磁感式表观电导率和土壤样本实测电导率之间的线性混合模型的基础上,采用自然邻近插值方法解析和评估研究区土壤剖面盐分的空间分布特征。结果表明:研究区土壤电导率具有较强的表聚性与空间变异强度,土壤主体属于中度盐渍化类型;基于各深度层土壤电导率与磁感表观电导率所构建的3种线性混合模型均能达到0.01的显著性水平,其中磁感表观电导率两种模式相结合解译模型预测精度最高;自然邻近法插值结果直观反映研究区土壤剖面盐分的空间分布状况,与水平模式和垂直模式相结合的土壤盐分解译模型相结合则能够更有效的提高土壤盐分空间分布的预测精度。研究结果表明,借助构建的土壤盐分解译模型可对研究区土壤盐渍化空间分布情况进行快速监测与评估,为该区土壤盐渍化的防治提供了一定的技术支撑。     

面向土系调查制图的小尺度区域景观分类——以宁镇丘陵区中一小区域为例

土系是中国土壤系统分类的基层分类单元,与所处微域景观联系密切,对小尺度样区进行景观分类研究有助于对研究区景观建立系统的认识。以宁镇丘陵区一小尺度样区为例,结合景观生态分类理论及土系特点,探讨了面向土系调查制图的景观分类的原则与方法,建立了包括景观区、景观类、景观亚类和景观相的四级景观分类系统,并借助3S技术进行了景观制图,并以此为基础对样区开展土系调查,对景观分类体系进行了验证。结果表明,景观相与土系有较好相关性,对土系分布具有指示作用,此景观分类体系有助于对土壤所处景观条件形成深入系统认识,可为土系调查制图工作提供参考。     

互信息理论结合决策树算法的土壤质量预测

在充分利用土壤类型、土地利用方式、岩性类型、地形、道路、工业类型等影响土壤质量主要因素,准确获取区域土壤质量的空间分布特征的基础上,采用互信息理论对13个辅助变量（岩性类型、土地利用方式、土壤类型、到城镇的距离、到道路的距离、到工业用地的距离、到河流的距离、相对高程、坡度、坡向、平向曲率、纵向曲率和切线曲率）进行筛选,然后通过决策树See5.0预测研究区土壤质量.结果表明： 影响研究区土壤质量的主要因素包括土壤类型、土地利用方式、岩性类型、到城镇的距离、到水域的距离、相对高程、到道路的距离和到工业用地的距离;以互信息理论选取的因子为预测变量的决策树模型精度明显优于以全部因子为预测变量的决策树模型,在前者的决策树模型中,无论是决策树还是决策规则,分类预测精度均达到80%以上.互信息理论结合决策树的方法在充分利用连续型和字符型数据的基础上,不仅精简了一般决策树算法的输入参数,而且能有效地预测和评价区域土壤质量等级.     

发生分类半淋溶土在中国土壤系统分类中的归属特征

利用最新建立的1∶100万中国土壤数据库,研究了我国发生分类半淋溶土在中国土壤系统分类的归属及其在中国土壤系统分类下的空间和数量特征.结果表明,我国发生分类半淋溶土总面积为427 843.1 km²,可参比归属于中国土壤系统分类中的4个土纲,即淋溶土、雏形土、均腐土、人为土,分别占发生分类半淋溶土总面积的51.3%、35.2%、10.7%和2.8%,其中包含了系统分类的22个土类和38个亚类.对发生分类某一类型土壤分属于系统分类不同类型的面积比例及其标准偏差的分析表明,土壤参比归属的单元级别越低,越易于参比和把握.研究结果对于土壤类型的正确参比、中国土壤系统分类的应用具有很好的参考价值.     

发生分类半淋溶土在中国土壤系统分类中的归属特征

利用最新建立的1∶100万中国土壤数据库,研究了我国发生分类半淋溶土在中国土壤系统分类的归属及其在中国土壤系统分类下的空间和数量特征.结果表明,我国发生分类半淋溶土总面积为427 843.1 km²,可参比归属于中国土壤系统分类中的4个土纲,即淋溶土、雏形土、均腐土、人为土,分别占发生分类半淋溶土总面积的51.3%、35.2%、10.7%和2.8%,其中包含了系统分类的22个土类和38个亚类.对发生分类某一类型土壤分属于系统分类不同类型的面积比例及其标准偏差的分析表明,土壤参比归属的单元级别越低,越易于参比和把握.研究结果对于土壤类型的正确参比、中国土壤系统分类的应用具有很好的参考价值.     

宁夏中宁枸杞林地粉壤土阳离子交换量空间分布预测方法对比

土壤阳离子交换量(CEC)是土壤施肥、改良的主要依据和土壤质量的评价指标,研究土壤CEC的空间分布及模型预测可为土壤养分监测、管理及精准农业实施提供科学依据。本研究以中宁枸杞林地粉壤土为对象,在自相关、交互相关等分析基础上,采用协同克里格(CoKriging)、普通最小二乘法(OLS)、地理加权回归(GWR)和随机森林(RF)模型对土壤CEC进行回归分析,比较了制图效果及模型预测精度。结果表明:中宁枸杞林地粉壤土CEC平均值为13.12 cmol·kg^-1,属中等肥力;土壤CEC的空间分布具有自相关性,并与土壤pH、有机质、黏粒和电导率在不同滞后距离上存在不同的空间相互关系;RF模型预测图避免了CoKriging、OLS和GWR模型预测图中土壤CEC图斑边界两侧破碎程度大、突变明显的缺陷,使土壤CEC在空间变化上表现为自然、平缓的过渡;RF模型RMSE值分别比CoKriging、OLS和GWR模型减少33.82%、20.55%和19.81%,R^2分别提高8.84%、51.92%和7.69%。RF模型考虑了样点空间位置,明显提高了插值精度且制图效果更加平缓。     

基于相关分析和偏最小二乘回归的黄绵土土壤全氮和碱解氮含量的高光谱预测

以采取植被恢复措施的陕西省吴起县为研究区,实地采集24个土壤剖面不同层次的黄绵土土样100个,在进行土壤样本全氮（TN）和碱解氮（AHN）含量及实验室反射光谱数据测量和分析的基础上,用相关分析（CA）结合偏最小二乘回归（PLS）方法建立黄绵土土壤TN和AHN含量的校正模型,并用独立样本对校正模型进行验证.结果表明： 利用6种光谱变换方式建立的校正模型中,微分光谱建立的校正模型是预测研究区土壤TN含量的最佳模型,校正和验证R²分别为0.929和0.935,均方根误差（RMSE）分别为0.045和0.047 g·kg^-1,相对预测偏差（RPD）为3.12;而归一化变换建立的校正模型是预测土壤AHN含量的最佳模型,校正和验证R²分别为0.873和0.773,RMSE分别为9.946和16.204 mg·kg^-1,RPD为1.538.所建立的全氮预测模型可以对0～40 cm土层的TN进行有效预测,而碱解氮的预测模型对同一深度只能进行粗略预测.本研究为采取植被恢复措施的退化生态系统区黄绵土土壤全氮的快速预测提供了一种较好的方法,但是对于碱解氮的准确、快速预测,需要进一步研究.     

宁夏中宁枸杞林地粉壤土阳离子交换量空间分布预测方法对比

土壤阳离子交换量(CEC)是土壤施肥、改良的主要依据和土壤质量的评价指标,研究土壤CEC的空间分布及模型预测可为土壤养分监测、管理及精准农业实施提供科学依据。本研究以中宁枸杞林地粉壤土为对象,在自相关、交互相关等分析基础上,采用协同克里格(CoKriging)、普通最小二乘法(OLS)、地理加权回归(GWR)和随机森林(RF)模型对土壤CEC进行回归分析,比较了制图效果及模型预测精度。结果表明:中宁枸杞林地粉壤土CEC平均值为13.12 cmol·kg~(-1),属中等肥力;土壤CEC的空间分布具有自相关性,并与土壤pH、有机质、黏粒和电导率在不同滞后距离上存在不同的空间相互关系; RF模型预测图避免了CoKriging、OLS和GWR模型预测图中土壤CEC图斑边界两侧破碎程度大、突变明显的缺陷,使土壤CEC在空间变化上表现为自然、平缓的过渡; RF模型RMSE值分别比CoKriging、OLS和GWR模型减少33.82%、20.55%和19.81%,R~2分别提高8.84%、51.92%和7.69%。RF模型考虑了样点空间位置,明显提高了插值精度且制图效果更加平缓。     

Direct measurement of soil organic carbon content change in the croplands of China

Agricultural soils in China have been estimated to have a large potential for carbon sequestration, and modelling and literature survey studies have yielded contrasting results of soil organic carbon (SOC) stock change, ranging from ?2.0 to +0.6% yr^?1. To assess the validity of earlier estimates, we collected 1394 cropland soil profiles from all over the country and measured SOC contents in 2007–2008, and compared them with those of a previous national soil survey conducted in 1979–1982. The results showed that average SOC content in the 0–20 cm soil increased from 11.95 g kg^?1 in 1979–1982 to 12.67 g kg^?1 in 2007–2008, averaging 0.22% yr^?1. The standard deviation of SOC contents decreased. Four major soil types had statistically significant changes in their mean SOC contents for 0–20 cm. These were: +7.5% for Anthrosols (paddy soils), +18.3% for Eutric Cambisols, +30.5% for Fluvisols, and ?22.3% for Chernozems. The change of SOC contents showed a negative relationship with the average SOC contents of the two sampling campaigns only when soils in the region south of Yangtse River were excluded. SOC contents of the two major soil types in the region south of Yangtse River, i.e., Haplic Alisols/Haplic Acrisols and Anthrosols (paddy soils), changed little or significantly increased, though with a high SOC content. We suggest that the increase of SOC content is mainly attributed to the large increase in crop yields since the 1980s, and the short history as cropland establishment is mainly responsible for the decrease in SOC content for some soil types and regions showing a SOC decline.     

Factors toxic to beech (Fagus sylvatica L.) seedlings in acid soils

The effects of highly and moderately acid soils on total biomass, biomass partitioning, fine root characteristics and nutritional status of beech seedlings (Fagus sylvatica L.) were studied in a growth chamber experiment. In Haplic Arenosols seedlings grew slowly but equally well without damage symptoms in a highly acid and a moderately acid soil horizon. The moderately acid A_h+B_w-horizon of a Eutric Cambisol was favourable to seedling growth. The fine root development was reduced in the highly acid A+B_w-horizon of a Dystric Cambisol and in the A_h+E-horizon of a Haplic Podzol, the latter of which also caused increased mortality. Seedling growth in the B₂-horizon of the Haplic Podzol was vigorous, in spite of a higher level of extractable Al and lower base saturation as compared with the A_h+E-horizon. These results are interpreted in relation to soil acidity, soil Al and nutritional status of the seedlings. We conclude that neither Al-toxicity nor nutrient deficiency cause the damage symptoms observed in the A_h+E-horizon of a Haplic Podzol and the fine root reduction in the A+B_w-horizon of a Dystric Cambisol. The damage symptoms of the PZh_A treatment seems to be more the result of H-toxicity or H-related factors other than nutrient shortage or Al-toxicity. Other pH-related toxic factors are discussed.     

The occurrence of heat-resistant species of Trichophaea abundans in different types of soil in Slovakia and Czech Republic

Strains of Trichophaea abundans (Ascomycota, Pezizales, Pyrenomycetaceae) were isolated from Haplic Cambisol, Haplic Cambisol (Eutric), Litic Leptosol (Sceletic), Haplic Umbrisol, and Fulvic Andosol soils in Slovakia and from Rendzic Leptosol, Chernozem, Cambisol, drilosphere, and feacal pelets of the earthworm Allolobophora hrabei collected in southern Moravia. The Slovak soils markedly differ in pH, from extremely acidic (pH_H2O 3.9) to weakly alkaline (pH_H2O 7.4). T. abundans appeared as a post-burn species on Haplic Cambisol, which experienced a wildfire after a windthrow event (November 2004). In Moravia T. abundans was also isolated from sites situated in southern slopes, from time and time they affected by fires. We also note the growth of T. abundans on the surface of Fulvic Andosol after gradual heating in the lab to temperatures reaching 105°C. These findings confirmed by a review of the literature, indicate that T. abundans belongs to the group of heat-resistant fungi appearing in soils regularly influenced by the fire or grass calcining.     

Tebuconazole Sorption in Contrasting Soil Types

This study investigates the sorption of tebuconazole in contrasting soil types (Rendzic Leptosol, Haplic Arenosol, and Haplic Cambisol). Tebuconazole was used both as an analytical-grade chemical and as a commercial product. Sorption experiments were performed using the batch equilibrium approach. The sorption of analytical-grade tebuconazole in soils was lower compared to the commercial product, with the exception of the Cambisol. The highest sorption was observed for the Cambisol regardless of the tebuconazole form. In the experiment with the commercial formula containing tebuconazole, a higher sorption was observed for the Leptosol compared to the Arenosol; the experiment with analytical-grade tebuconazole showed an opposite trend. The differences in sorption of the commercially available and analytical-grade tebuconazole can be attributed to the additives present in the commercial product. Based on the obtained results, tebuconazole sorption is mainly influenced by soil organic matter and the mineralogical composition, but fungicide composition plays an important role as well. Additives present in the commercial products support fungicide sorption in soils. These findings confirm that tebuconazole is adsorbed in soils with high contents of organic matter and clay minerals and its application to such soils should not lead to risks associated with fungicide leaching.     

Comparison of aggregate stability within six soil profiles under conventional tillage using various laboratory tests

Soil structure stability was studied in every diagnostic horizons of six soil types (Haplic Chernozem, Greyic Phaeozem, two Haplic Luvisols, Haplic Cambisol, Dystric Cambisol) using different techniques investigating various destruction mechanisms of soil aggregates. Soil aggregate stability, assessed by the index of water stable aggregates (WSA), varied depending on the organic matter content, clay content and pH_KCl. The presence of clay and organic matter coatings and fillings, and presence of iron oxides in some soils increased stability of soil aggregates. On the other hand periodical tillage apparently decreased aggregate stability in the Ap horizons. Coefficients of aggregate vulnerability resulting from fast wetting (KV ₁) and slow wetting (KV ₂) tests showed similar trends of the soil aggregate stability as the WSA index, when studied for soils developed on the similar parent material. There was found close correlation between the WSA index and the KV ₁ value, which depended also on the organic matter content, clay content and pH_KCl. Less significant correlation was obtained between the WSA index and the KV ₂ value, which depended on the organic matter content and clay content. Coefficients of vulnerability resulting from the shaking after pre-wetting test (KV ₃) showed considerably different trends in comparison to the other tests due to the different factors affecting aggregate stability against the mechanical destruction. The KV ₃ value depended mostly on cation exchange capacity, pH_KCl and organic matter content.     

土壤模糊隶属度不同数据转换方法及其对空间插值结果的影响

应用模糊c-均值算法对土壤进行连续分类时,其输出的土壤模糊隶属度值具有成分数据的结构特点.直接基于土壤隶属度数据实施普通克里格插值,其空间预测结果缺乏可信度.因此,在进行插值预测之前,必须对土壤模糊隶属度值进行必要的数据转换.研究采用对数正态变换方法、对称对数比转换方法和非对称对数比转换方法对土壤模糊隶属度值进行数据转换,分析了各种数据转换形式对插值结果及其精度的影响.结果表明,对样点土壤模糊隶属度进行简单对数正态转换,其插值结果空间上任意点的土壤对于不同类别的隶属度之和均不为1,因此这样的插值结果理论上缺乏可行性.数据经非对称对数比转换和对称对数比转换后,插值结果均满足各个位置组分之和为1和非负限制,二者相比,后者对区域总体趋势的反映较前者好,且精度较高.因此,在应用对称对数比方法对样点土壤模糊隶属度值进行数据转换的基础上,应用克里格技术实施空间插值可以获得最佳预测结果.     

Nickel bioavailability in an ultramafic toposequence in the Vosges Mountains (France)

A serpentinised harzburgite outcrop located in the Vosges Mountains hosts a population of the Ni-hyperaccumulator Thlaspi caerulescens J. & C. Presl. A complete study was undertaken to relate the variability of Ni availability along the ultramafic toposequence to pedogenesis, soil mineralogy and functioning with X-Ray Diffraction, Transmission Electron Microscope observations coupled with Isotopic Exchange Kinetics and diethylenetriamine pentaacetic acid extraction of Ni. The soil profiles ranging from Dystric Cambisol to Hypermagnesic Hypereutric Cambisol were distributed unevenly along the toposequence probably due to geochemical variability of the bedrock and also complex quaternary erosion features. The richest soils were characterised by slight mineral weathering leading to Ni, Cr and Fe accumulation in the B horizons whereas the lowest saturated soils had very low-metal contents. Most soil minerals were inherited from the parent materials and there were only few traces of formation of secondary minerals. Primary minerals (e.g. serpentine, chlorite) contained low Ni concentrations (0.2%) whereas neoformed goethite, mainly in the B horizons of the richest soils, contained up to 4.3% Ni. Ni was probably sorbed onto amorphous Fe oxy−hydroxide particles (oxalate extraction) rather than incorporated within the crystal lattice of goethite. Ni availability in the B horizon of Hypereutric Cambisols was extremely high and so was the oxalate extractable Fe. At the toposequence level, there was a high level of Ni availability in the least weathered soils and a very low-availability level in the more intensively weathered soils (strongly acidic pH). Ni availability was unexpectedly positively correlated to pH and was controlled by soil mineralogy and Ni-bearing mineral phases. Ni hyperaccumulation (above 1,000 mg kg⁻¹) by native T. caerulescens was only reached in the Ni-rich soils as a consequence of the local edaphic factors. Ni uptake by T. caerulescens is strongly regulated by Ni availability in soils and therefore related to pedogenesis.     

Life history determines biogeographical patterns of soil bacterial communities over multiple spatial scales

The extent to which the distribution of soil bacteria is controlled by local environment vs. spatial factors (e.g. dispersal, colonization limitation, evolutionary events) is poorly understood and widely debated. Our understanding of biogeographic controls in microbial communities is likely hampered by the enormous environmental variability encountered across spatial scales and the broad diversity of microbial life histories. Here, we constrained environmental factors (soil chemistry, climate, above‐ground plant community) to investigate the specific influence of space, by fitting all other variables first, on bacterial communities in soils over distances from m to 10² km. We found strong evidence for a spatial component to bacterial community structure that varies with scale and organism life history (dispersal and survival ability). Geographic distance had no influence over community structure for organisms known to have survival stages, but the converse was true for organisms thought to be less hardy. Community function (substrate utilization) was also shown to be highly correlated with community structure, but not to abiotic factors, suggesting nonstochastic determinants of community structure are important Our results support the view that bacterial soil communities are constrained by both edaphic factors and geographic distance and further show that the relative importance of such constraints depends critically on the taxonomic resolution used to evaluate spatio‐temporal patterns of microbial diversity, as well as life history of the groups being investigated, much as is the case for macro‐organisms.