中国农田土壤有机碳贮存的空间特征

The soil organic carbon (SOC) pool is the largest component of terrestrial carbon pools. With the construction of a geographically referenced database taken from the second national general soil survey materials and based on 1546 typical cropland soil profiles, the paddy field and dryland SOC storage among quantified to characterize the spatial pattern of cropland SOC storage in China regions of China were systematically to examine the relationship between mean annual temperature, precipitation, soil texture features arid SOC content. In all regions, paddy soils had higher SOC storage than dryland soils, and cropland SOC content was the highest in Southwest China. Climate controlled the spatial distribution of SOC in both paddy and dryland soils, with SOC storage increasing with increasing precipitation and decreasing with increasing temperature.     

利用地统计学研究土壤有机质空间分布：评估意大利中部地区土地退化的重要指标

Soil organic matter (SOM) content is one of the main factors to be considered in the evaluation of soil health and fertility. As timing, human and monetary resources often limit the amount of available data, geostatistical techniques provide a valid scientific approach to cope with spatial variability, to interpolate existing data and to predict values at unsampled locations for accurate SOM status survey. Using geostatistical and geographic information system (GIS) approaches, the spatial variability of some physical and chemical soil parameters was investigated under Mediterranean climatic condition in the Abruzzo region of central Italy, where soil erosion processes accelerated by human induced factors are the main causes of soil degradation associated with low SOM content. Experimental semivariograms were established to determine the spatial dependence of the soil variables under investigation. The results of 250 soil sampling point data were interpolated by means of ordinary kriging coupled with a GIS to produce contour maps distribution of soil texture, SOM content related to texture, and C/N ratio. The resulting spatial interpolation of the dataset highlighted a low content of SOM in relation with soil texture in most of the surveyed area (87%) and an optimal C/N ratio for only half of the investigated surface area. Spatial location of degraded area and the assessment of its magnitude can provide decision makers with an accurate support to design appropriate soil conservation strategies and then facilitate a regional planning of agri-environmental measures in the framework of the European Common Agricultural Policy.     

中国滇池流域土地利用方式对土壤侵蚀和养分状况的影响

Soil erosion and loss of soil nutrients have been a crucial environment threat in Southwest China. The land use and its impact on soil qualities continue to be highlighted. The present study was conducted to compare soil erosion under four land use types(i.e.,forestland, abandoned farmland, tillage, and grassland) and their effects on soil organic carbon(SOC), total nitrogen(TN) and total phosphorus(TP) in the Shuanglong catchment of the Dianchi Lake watershed, China. There were large variations in the erosion rate and the nutrient distributions across the four land use types. The erosion rates estimated by137 Cs averaged 2 133 t km-2year-1under tillage and abandoned farmland over the erosion rate of non-cultivated sites, and the grasslands showed a net deposition. For all sites, the nutrient contents basically decreased with the soil depth. Compared with tillage and abandoned farmland, grassland had the highest SOC and TN contents within 0–40 cm soil layer, followed by forestland. The significant correlations between137 Cs, SOC and TN were observed. The nutrient loss caused by erosion in tillage was the highest. These results suggested that grassland and forestland would be beneficial for SOC and TN sequestration over a long-term period because of their ability to reduce the loss of nutrients by soil erosion. Our study demonstrated that reduction of nutrient loss in the red soil area could be made through well-managed vegetation restoration measures.     

美国路易斯安那州土壤碳估算的尺度效应——美国STATSGO和SSURGO两大最新土壤数据库的比较研究

Estimation of soil organic carbon (SOC) pools and fluxes bears large uncertainties because SOC stocks vary greatly over geographical space and through time.Although development of the U.S.Soil Survey Geographic Database (SSURGO),currently the most detailed level with a map scale ranging from 1:12 000 to 1:63 360,has involved substantial government funds and coordinated network efforts,very few studies have utilized it for soil carbon assessment at the large landscape scale.The objectives of this study were to 1) compare estimates in soil organic matter among SSURGO,the State Soil Geographic Database (STATSGO),and referenced field measurements at the soil map unit;2) examine the influence of missing data on SOC estimation by SSURGO and STATSGO;3) quantify spatial differences in SOC estimation between SSURGO and STATSGO,specifically for the state of Louisiana;and 4) assess scale effects on soil organic carbon density (SOCD) estimates from a soil map unit to a watershed and a river basin scale.SOC was estimated using soil attributes of SSURGO and STATSGO including soil organic matter (SOM) content,soil layer depth,and bulk density.Paired t-test,correlation,and regression analyses were performed to investigate various relations of SOC and SOM among the datasets.There were positive relations of SOC estimates between SSURGO and STATSGO at the soil map unit (R2=0.56,n=86,t=1.65,P=0.102;depth:30 cm).However,the SOC estimated by STATSGO were 9%,33% and 36% lower for the upper 30-cm,the upper 1-m,and the maximal depth (up to 2.75 m) soils,respectively,than those from SSURGO.The difference tended to increase as the spatial scale changes from the soil map unit to the watershed and river basin scales.Compared with the referenced field measurements,the estimates in SOM by SSURGO showed a closer match than those of STATSGO,indicating that the former was more accurate than the latter in SOC estimation,both in spatial and temporal resolutions.Further applications of SSURGO in SOC estimation for the entire United States could improve the accuracy of soil carbon accounting in regional and national carbon balances.     

印度的主要茶叶产区土壤的主要化学性质

Major chemical properties of tea-growing soils are of paramount importance for better management in a sustainable fashion.Therefore,this study was carried out to understand the major soil chemical properties of major tea（Camellia sinensis L.）-growing areas,Dibrugarh and Tinsukia districts,in the state of Assam,India.A total of 991 surface soil samples were collected from 15 large tea estates（TEs） for analysis of their major chemical properties.Soil pH ranged from 3.61 to 6.81.Total organic carbon and total nitrogen ranged from 2.4 to 47.3 and 0.24 to 3.60 g kg^-1,respectively.All soils were sufficiently rich in plant-available potassium（as K₂O）,which ranged from 127.71 to 252.33 mg kg^-1,exceeding the amount prescribed for optimum tea yield of > 100 mg kg^-1.Plant-available sulfur among soil samples widely varied from 4 to 129 mg kg^-1.Results of hierarchical clustering analysis for homogenous grouping of the 15 TEs based on soil chemical properties showed that the 15 TEs could be classified into three distinct groups which consisted of6,8 and 1 TEs,respectively.Based on the Kolmogorov-Smirnov（K-S） test,the best fitted theoretical probability distributions were found out for different soil chemical properties.It could be concluded that a balanced fertilizer application would be needed as a part of tea improvement program using soil chemical test.     

聚合果属生物炭引起的咸水灌溉下土壤养分有效性和番茄生长变化

Thermally modified organic materials commonly known as biochar have gained popularity of being used as a soil amendment.Little information, however, is available on the role of biochar in alleviating the negative impacts of saline water on soil productivity and plant growth. This study, therefore, was conducted to investigate the effects of Conocarpus biochar(BC) and organic farm residues(FR) at different application rates of 0.0%(control), 4.0% and 8.0%(weight/weight) on yield and quality of tomatoes grown on a sandy soil under drip irrigation with saline or non-saline water. The availability of P, K, Fe, Mn, Zn and Cu to plants was also investigated. The results demonstrated clearly that addition of BC or FR increased the vegetative growth, yield and quality parameters in all irrigation treatments. It was found that salt stress adversely affected soil productivity, as indicated by the lower vegetative growth and yield components of tomato plants. However, this suppressing effect on the vegetative growth and yield tended to decline with application of FR or BC, especially at the high application rate and in the presence of biochar. Under saline irrigation system, for instance, the total tomato yield increased over the control by 14.0%–43.3% with BC and by 3.9%–35.6% with FR. These could be attributed to enhancement effects of FR or BC on soil properties, as indicated by increases in soil organic matter content and nutrient availability. Therefore, biochar may be effectively used as a soil amendment for enhancing the productivity of salt-affected sandy soils under arid conditions.     

黄土高原某些耕作土壤中土壤微生物生物量C、N与矿化N的关系

The chloroform fumigation-incubation method was used to measure the soil microbial biomass C (SMBC) and N (SMBN) in 16 loessial soils sampled from Ansai, Yongshou and Yangling in Shaanxi Province. The SMBC contents in the soils ranged from 75.9 to 301.0 μg C g^-1 with an average of 206.1 μg C g^-1, accounting for 1.36%~6.24% of the total soil organic C with an average of 3.07%, and the SMBN contents from 0.51 to 68.40 μg N g^-1 with an average of 29.4 μg N g^-1, accounting for 0.20%~5.65% of the total N in the soils with an average of 3.36%. A close relationship was found between SMBC and SMBN, and they both were positively correlated with total organic C, total N, NaOH hydrolizable N and mineralizable N. These results confirmed that soil microbial biomass had a comparative role in nutrient cycles of soils.     

水旱轮作与林地利用方式对中国滨海滩涂土壤微生物生物量碳的影响

Rice-wheat rotation and poplar afforestation are two typical land use types in the coastal reclaimed flatlands of eastern China.This study investigated two rice-wheat rotation lands(one reclaimed from 1995 to 2004 and cultivated since 2005, RW1, and the other reclaimed from 1975 to 1995 and cultivated since 1996, RW2) and a poplar woodland(reclaimed from 1995 to 2004 and planted in2004, PW1) to determine the effects of land use types and years of cultivation on soil microbial biomass and mineralizable carbon(C) in this coastal salt-affected region. The results showed that the soil in PW1 remained highly salinized, whereas desalinization was observed in RW1. The total organic C(TOC) in the top soil of PW1 and RW1 did not show significant differences, whereas at a soil depth of 20–30 cm, the TOC of RW1 was approximately 40%–67% higher than that of PW1. The TOC of 0–30-cm soil in RW2 was approximately 37% higher than that in RW1. Microbial biomass C(MBC) and mineralizable C(MNC) exhibited the trend of RW2 RW1 PW1. Sufficient nutrition with more abundant C substrates resulted in higher MBC and MNC, and soil respiration rates were negatively correlated with C/N in RW1 and RW2. Nutrient deficiency and high salinity played key roles in limiting MBC in PW1. These suggested that rice-wheat rotation was more beneficial than poplar afforestation for C accumulation and microbial biomass growth in the coastal salt-affected soils.     

印度热带森林干旱扰动土壤的微生物碳, 氮, 磷的研究

Variations in microbial biomass C (MB-C),N (MB-N) and P (MB-P) along a gradient of different dominant vegeta- tion covers (natural forest,mixed deciduous forest,disturbed savanna and grassland ecosystems) in dry tropical soils of Vindhyan Plateau,India were studied from January 2005 to December 2005.The water holding capacity,organic C,total N,total P and soil moisture content were comparatively higher in forest soils than in the savanna and grassland sites.Across different study sites the mean annual MB-C,MB-N and MB-P at 0-15 cm soil depth varied from 312.05 ± 4.22 to 653.40 ± 3.17,32.16 ± 6.25 to 75.66 ± 7.21 and 18.94 ± 2.94 to 30.83 ± 23.08 μg g ?1 dry soil,respectively.At all the investigated sites,the maximum MB-C,MB-N and MB-P occurred during the dry period (summer season) and the minimum in wet period (rainy season).In the present study,soil MB-C,MB-N and MB-P were higher at the forest sites compared to savanna and grassland sites.The differences in MB-C,MB-N and MB-P were significant (P 0.001) among sites and seasons.The MB-C (P 0.0001),MB-N (P 0.001) and MB-P (P 0.0001) were positively correlated with organic C,while the relationship between soil moisture and MB-C,MB-N and MB-P (P 0.001,P 0.01 and P 0.0001,respectively) was negative.The decreasing order of MB-C,MB-N and MB-P along study ecosystems was natural forest mixed deciduous forest savanna grassland.The results suggested that deforestation and land use practices (conversion of forest into savanna and grassland) caused the alterations in soil properties,which as a consequence,led to reduction in soil nutrients and MB-C,MB-N and MB-P in the soil of disturbed sites (grassland and savanna) compared to undisturbed forest ecosystems.     

基于不同空间分辨率土壤数据库的中国江苏省水稻土有机碳的动态模拟

A number of process-based models have been developed for quantifying carbon(C)sequestration in agro-ecosystems.The DeNitrification-DeComposition(DNDC)model was used to simulate and quantify long-term(1980-2008)soil organic carbon(SOC)dynamics in the important rice-producing province,Jiangsu,China.Changes in SOC storages were estimated from two soil databases differing in spatial resolution:a county database consisting of 68 polygons and a soil patch-based database of 701 polygons for all 3.7 Mha of rice fields in Jiangsu.The simulated SOC storage with the coarse resolution county database ranged between 131.0-320.6 Tg C in 1980 and 170.3-305.1 Tg C in 2008,respectively,while that estimated with the fine resolution database was 201.6 and 216.2 Tg C in 1980 and 2008,respectively.The results modeled with the soil databases differing in spatial resolution indicated that using the soil input data with higher resolution substantially increased the accuracy of the modeled results;and when lacking detailed soil datasets,the DNDC model,parameterized with the most sensitive factor(MSF) method to cope with attribute uncertainty,could still produce acceptable results although with deviations of up to 60% for the case study reported in this paper.     

杭州湾南岸土壤有机碳空间异质性研究

应用地统计学与地理信息系统相结合的方法,研究了杭州湾南岸慈溪市域内不同土层(0～20、20～40、40～60、60～80、80～100、0～100 cm)的土壤有机碳含量空间变异特征。结果表明:研究区各土层土壤有机碳平均含量变化范围为3.49～7.95 g kg-1,变异系数介于54.51%～67.34%之间,属中等程度变异;地统计分析得出块金效应变化范围为0.141～0.372,表现为较强空间自相关性;自表层至底层最优半方差模型依次为高斯、指数、指数、高斯和球状模型;Kriging插值结果显示各土层土壤有机碳含量自滩涂向内陆呈递增趋势,其中0～20 cm土层土壤有机碳含量呈平行于海岸线的带状分布;土壤有机碳含量随剖面深度增加呈递减规律;不同土地利用方式和不同围垦时期均增加了土壤有机碳的空间变异性。从研究结果看,慈溪市土壤有机碳空间异质性主要由结构性因素引起,研究结果可为了解杭州湾南岸土壤有机碳分布特征提供参考。     

科尔沁沙地沙质草场土壤水分对干旱和降雨响应的空间变异性

采用地统计学的方法,研究了科尔沁沙地沙质草场土壤含水量对干旱和降雨响应的空间变异规律。结果表明,干旱时沙质草场表层(0～20cm)、亚表层(20～40cm)土壤含水量可很好地拟合成球状模型和指数模型,在1～2．26m,1～6．63m的中等尺度范围内表现出很高的空间自相关性,空间自相关度分别为0．92,0．87．分维数均表现出较弱的空间依赖性．分别为1．99,1．94,两层土壤含水量变异特征差异小,土壤水分的空间变异性强,破碎化程度高。降雨后沙质草场土壤表层、亚表层土壤含水量可很好地拟合成指数模型和球状模型,也具有空间结构特征,空间自相关度分别为0．62,0．98,变程分别为181．80m,4．55m,分维数为1．91,1．99,再有土壤水分空间格局图分析,表层土壤含水量空间变异性小,亚表层空间变异性大,两层土壤含水量变异特征存在明显差异。干旱时与降雨后沙质草场表层土壤水分统计特征、变异函数模型和参数、分维数和土壤水分空间格局分布图存在显著的差异,而亚表层差异较小。一定强度的降雨在短期内只能削弱处于干旱时沙质草场表层土壤水分的空间变异性,使其表层土壤水分破碎化程度、空间变异性减弱,而对土壤深层的水分补充和影响有限。     

北京市平谷区农用地土壤有机质空间变异特征

采用传统统计、地统计及地理信息系统(GIS)相结合的方法,初步研究了北京市平谷区农田土壤有机质(SOM)含量的空间分布规律及其影响因素.传统统计分析结果表明,研究区土壤样本呈对数正态分布,平均值为15.36 g·kg-1,变异系数为0.32,属中等变异程度.方差分析表明,高程和土地利用类型均对研究区SOM含量的分布有显著影响.地统计分析表明,研究区SOM含量空间变异具有一阶趋势和各向异性特征;由空间自相关部分和随机部分引起的空间变异性程度大体相当,具有中等的空间相关性.结合普通Kriging插值方法,获得了研究区SOM含量的空间分布图,比较分析表明研究区农用地SOM含量的空间分布是自然和人为利用因素共同作用的结果.     

皖北平原蒙城县农田土壤有机碳空间变异及影响因素

以皖北平原典型农业生产大县亳州市蒙城县为代表,运用统计学、地统计学方法和GIS技术研究了其农田耕作层(0～20 cm)土壤有机碳(SOC)含量的空间分布及其影响因子。结果表明:研究区SOC含量为10.41±2.52 g kg-1,近30年来提高了55.61%,SOC变异系数为24%,属于中等变异程度。SOC含量在空间分布上表现为东北部、中部和西南部含量高,由西北向东南先逐渐增加后逐渐降低,变异程度较高。整个县域范围内SOC空间变异的主要影响因素为土壤机械组成(粉粒和砂粒含量),其次为秸秆还田。     

梁子湖湿地土壤养分的空间异质性

2003年10月利用地统计学方法对梁子湖湿地保护区内一块63.9km2区域的土壤养分的空间变异进行了研究。以400m400m的网格采集了101个表层(015cm)土壤样品。分析结果表明,土壤养分有较大的空间变异,土壤有机质、全氮、全磷、速效氮变异系数分别是36.0%、30.6%1、3.7%和29.3%;速效磷的变异系数最高为50.4%。土壤有机质、全氮、全磷、速效氮和速效磷的理论模型均为球状模型。土壤有机质、全氮、全磷、速效氮具有中等空间自相关性,随机变异分别是68.5%、68.3%、75%和71.5%;速效磷的自空间相关性较弱,变异为82.4%。5种养分的空间自相关距离比较接近,变程在2853m～963m之间。通过克里格插值进行土壤养分空间插值制图显示,土壤养分表现出空间分布的相似性。     

Water, Salt and Heat Influences on Carbon and Nitrogen Dynamics in Seasonally Frozen Soils in Hetao Irrigation District, Inner Mongolia, China

To investigate carbon (C) and nitrogen (N) dynamics in seasonally frozen soils under saline and shallow groundwater supply conditions, in-situ lysimeter experiments with different groundwater table depths (WTD=1.8 and 2.2 m) were conducted in Inner Mongolia, China during the wintertime of 2012-2013. Changes in soil organic C and total N in multiple layers during various periods, as well as their relationships with soil water, salt, and heat dynamics were analyzed. Accumulation of soil organic C and total N during freezing periods was strongly related to water and salt accumulation under temperature and water potential gradients. Water and salt showed direct influences on soil C and N dynamics by transporting them to upper layer and changing soil microbial activity. Salt accumulation in the upper layer during freezing and thawing of soil affected microbial activity by lowering osmotic potential, resulting in lower C/N ratio. Nitrogen in soil tended to be more mobile with water during freezing and thawing than organic C, and the groundwater table also served as a water source for consecutive upward transport of dissolved N and C. The changes in C and N in the upper 10 cm soil layer served as a good sign for identification of water and salt influences on soil microbial activity during freezing/thawing.     

典型喀斯特林地土壤养分空间变异的影响因素

为了探明喀斯特森林生态系统土壤养分空间异质性的成因及其对养分生物地球化学过程的指示意义,该研究以广西木论国家级自然保护区典型喀斯特峰丛洼地为研究对象,利用地统计学和经典统计方法分析了土壤养分的空间变异特征,并探讨了其主要影响因子。结果表明,研究区土壤有机碳(SOC)和全氮(TN)的块金值/基台值较大,分别为49.9%和28.6%,表现为中等程度的空间自相关,全磷(TP)和全钾(TK)的块金值/基台值较小,分别为10.4%和2.9%,表现为强烈的空间自相关,说明随机因素对TP和TK的影响相对较小;逐步回归分析表明,各环境因子对TK的方差解释最大,对SOC的方差解释最小。其中,土壤交换性Ca2+离子和凋落物中N含量是SOC和TN的主要控制因素,随着交换性Ca2+和凋落物中N含量升高,土壤SOC和TN积累增加;TP的控制因素比较单一,仅受凋落物中P含量影响。TK的影响因素比较复杂,除主要受交换性Ca2+控制外,凋落物N:P比、海拔高度和黏粒含量也有显著影响。     

农田表层土壤养分空间变异特性研究

为给田间养分监测设施布设方法提供依据,在陕西杨凌选取2块农田,采用12 m×12 m嵌套6 m×6 m的采样方法,采集表层土壤（0～20 cm）养分数据,运用经典统计、地统计学结合Kriging插值方法,分析农田土壤养分空间变异特征。结果表明：冬小麦抽穗期与成熟期农田表层土壤全氮（TN）变异系数<10%,为弱变异,土壤有机质（SOM）、有效磷（AP）变异系数介于10%与100%之间,为中等变异,有效钾（AK）和铵态氮（NH4+-N）变异系数>100%,为强变异,成熟期硝态氮（NO3--N）由强变异转为中等变异。土壤养分最优半方差模型为球状模型,作物不同生育阶段,土壤养分空间相关性存在一定的差异,土壤SOM、TN块金系数<25%,空间相关性强烈,以结构性因素为主导;冬小麦抽穗期速效态养分块金系数介于25%与75%之间,空间相关性中等,随机性因素主导,成熟期<25%,空间相关性增强。采样密度由6 m×6 m变为12 m×12 m时,变异程度保持不变,土壤养分空间变异系数差值在0.04%～59.48%范围内,成熟期2号样地的AK除外,块金系数差值在0.065%～34.177%范围内,2种采样间距获得的土壤养分空间变异特征基本一致,建议选用12 m×12 m网格。