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| 1 | 不同尺度不同土层土壤盐分的空间变异性研究显示文摘利用传统统计学和地统计学方法研究不同尺度不同土层土壤电导率的空间变异性及其与土壤基本物理特性的相关性.结果表明:随尺度增大,不同土层土壤电导率的变异程度由弱变异变为中等变异,空间相关范围增加,0~20cm土层空间相关性由中等变为强烈,20~40cm土层空间相关性均为中等.随土层深度增加,不同尺度20~40cm土层土壤电导率的空间相关范围均大于0~20cm土层,田间尺度上不同土层空间相关性均为中等,区域尺度上空间相关性由强烈变为中等.区域尺度上0~20cm土层土壤电导率分布比较离散,20~40cm土层自西向东先降后增.不同尺度上0~20cm土层土壤电导率与土壤基本物理特性的相关性不显著,20~40cm土层土壤电导率在田间尺度上与粗粉粒和砂粒含量的相关性显著,在区域尺度上与粗粉粒和粘粒含量的相关性显著. | 刘继龙 刘璐 马孝义 付强 王海江 张振华 张玲玲 虞鹏 | 2018 | 应用基础与工程科学学报2018，26，2： | 34 |
| 2 | 不同土层土壤特性空间变异性关系的联合多重分形研究显示文摘应用联合多重分形理论研究了0~20 cm土层土壤含水率、土壤电导率、砂粒含量、粘粒含量、粗粉粒含量、土壤粒径分布体积分形维数、土壤容重、有机质含量的空间变异性与20~40 cm土层对应变量空间变异性在多尺度上的相互关系。结果表明:相对于0~20 cm土层上述变量的空间变异性,20~40 cm土层粗粉粒含量、有机质含量空间变异性的变化率最大,土壤电导率、粘粒含量、土壤粒径分布体积分形维数空间变异性的变化率最小,砂粒含量、土壤含水率、土壤容重空间变异性的变化率介于两者之间;多尺度上,0~20 cm土层土壤含水率、土壤容重、有机质含量、粘粒含量、砂粒含量、土壤电导率、土壤粒径分布体积分形维数、粗粉粒含量与20~40 cm土层对应变量空间变异性在多尺度上的相关性依次减弱。 | 刘继龙 马孝义 付强 张振华 | 2012 | 农业机械学报2012，43，5： | 16 |
| 3 | Modeling Carbon Dynamics in Paddy Soils in Jiangsu Province of China with Soil Databases Differing in Spatial Resolution显示文摘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. | XU Sheng-Xiang SHI Xue-Zheng ZHAO Yong-Cun YU Dong-Sheng WANG Shi-Hang ZHANG Li-Ming C. S. LI TAN Man-Zhi | 2011 | Pedosphere2011，21，6： | 9 |
| 4 | Soil Quality in Relation to Agricultural Production in the North China Plain显示文摘Sustainable agricultural production is of vital importance to food supply security. This study aimed to investigate crop yield response to spatial variability of soil quality at a county scale in the North China Plain(NCP) and subsequently derive key soil quality indicators. Soil samples were geo-referenced and taken in 2008 from both surface(0–20 cm) and subsurface(20–40 cm) layers in132 fields throughout the Fengqiu County, located in the centre of the NCP, for subsequent soil properties' analyses. Annual crop yields were obtained from the same fields where soil samples were collected. Soil quality was evaluated based on a fuzzy set with 13 soil properties, and its spatial distributions were investigated by integrating geostatistical analysis and geographic information system(GIS) techniques. Soil quality indices were classified into five grades, and their spatial distributions were mapped within the county.The surface soil qualities were about one to two grades higher than the subsurface soil. The quality indices for surface and subsurface soils were positively associated with the annual crop yields, suggesting the importance of both. Soil organic matter, total nitrogen,available P, and available K contributed 50% of the combined weight to the soil quality index and were identified as key indicators of soil quality status in the area in terms of sustainability. | XIA Min ZHAO Bingzi Xiying HAO ZHANG Jiabao | 2015 | Pedosphere2015，25，4： | 6 |
| 5 | 不同分类级别土壤矢量图与最小可分栅格的关系研究显示文摘土壤空间信息的矢量-栅格转换是利用土壤数据进行地表碳、氮等模拟研究的重要基础,由土壤矢量图转化成栅格图时,不同分类级别土壤矢量图与可转化为最小栅格之间的关系一直不够明确。本文利用江西省余江县1∶5万土壤图,研究了在土类、亚类、土属和土种分类水平上,土壤矢量图转化成不同大小栅格图过程中各类土壤分布的面积变化,设定某类土壤栅格分布总面积占同类土壤矢量面积的95%时所对应的栅格大小视为最小可分栅格,并且在不同土壤分类级别的土壤矢量图中,定义面积小于10 km2的土壤类型为小面积土壤类型、面积介于10 km2至100 km2的土壤类型为中等面积土壤类型,面积大于100 km2的土壤类型为大面积土壤类型。结果表明:余江县土壤空间数据的矢量-栅格在转换过程中,由于面积过小和图斑过于分散使得各土壤分类级别均有小面积土壤类型和部分大、中面积土壤类型的栅格面积随着栅格尺度的变小而变大;图斑聚集的大面积土壤类型和中等面积土壤类型栅格面积伴随栅格尺度的变小而变小;土类和亚类中,最小可分栅格分别为1 km和0.2 km,在土属和土种中,最小可分栅格均为0.1 km。 | 陈粲 张忠启 史学正 任红艳 潘剑君 于东升 檀满枝 孙维侠 | 2011 | 土壤学报2011，48，3： | 3 |
| 6 | Equality Testing for Soil Grid Unit Resolutions to Polygon Unit Scales with DNDC Modeling of Regional SOC Pools显示文摘Matching soil grid unit resolutions with polygon unit map scales is important to minimize the uncertainty of regional soil organic carbon(SOC) pool simulation due to their strong influences on the modeling.A series of soil grid units at varying cell sizes was derived from soil polygon units at six map scales,namely,1:50 000(C5),1:200 000(D2),1:500 000(P5),1:1 000 000(N1),1:4 000 000(N4) and 1:14 000 000(N14),in the Taihu Region of China.Both soil unit formats were used for regional SOC pool simulation with a De Nitrification-DeC omposition(DNDC) process-based model,which spans the time period from 1982 to 2000 at the six map scales.Four indices,namely,soil type number(STN),area(AREA),average SOC density(ASOCD) and total SOC stocks(SOCS) of surface paddy soils that were simulated by the DNDC,were distinguished from all these soil polygon and grid units.Subjecting to the four index values(IV) from the parent polygon units,the variations in an index value(VIV,%) from the grid units were used to assess its dataset accuracy and redundancy,which reflects the uncertainty in the simulation of SOC pools.Optimal soil grid unit resolutions were generated and suggested for the DNDC simulation of regional SOC pools,matching their respective soil polygon unit map scales.With these optimal raster resolutions,the soil grid units datasets can have the same accuracy as their parent polygon units datasets without any redundancy,when VIV < 1% was assumed to be a criterion for all four indices.A quadratic curve regression model,namely,y = – 0.80 × 10^(–6)x^2 + 0.0228 x + 0.0211(R^2 = 0.9994,P < 0.05),and a power function model R? = 10.394?^(0.2153)(R^2 = 0.9759,P < 0.05) were revealed,which describe the relationship between the optimal soil grid unit resolution(y,km) and soil polygon unit map scale(1:10 000x),the ratio(R?,%) of the optimal soil grid size to average polygon patch size(?,km^2) and the ?,with the highest R^2 among different mathematical regressions,respectively.This knowledge may facilitate the grid partitioning of regions during the investigation and simulation of SOC pool dynamics at a certain map scale,and be referenced to other landscape polygon patches' mesh partition. | YU Dongsheng PAN Yue ZHANG Haidong WANG Xiyang NI Yunlong ZHANG Liming SHI Xue-zheng | 2017 | Chinese Geographical Science2017，27，4： | 2 |
| 7 | 土壤与植被间物质组成的协容特征──以稻田与水稻为例显示文摘土壤与植被总是相互作用、协同发展,其相互作用机制的研究对土壤和植被的管理都有重要意义。为了深入揭示土壤-作物系统中作物产量和品质的形成和维持的机制,为因地制宜实施土壤-作物系统的管理提供科学依据,根据土壤与植被间相互关系的研究文献,并以稻田-水稻为例,从稻田土壤养分与水稻的产量、品质以及元素信息这3方面的关系特征,阐述了稻田土壤与水稻主要特性间的协容特征。土壤类型和土壤养分的空间差异都会造成产量的差异,同时,不同的土壤类型由于营养元素的不同对稻米的各品质指标也有影响。近年来,学者们展开了利用元素指纹分析技术鉴别水稻产地的研究,虽然直接将水稻元素与当地土壤元素结合的研究较少,但已有研究表明水稻的元素信息带有该地区土壤的信息。因此,一方面,不同的土壤类型或养分状况会影响水稻的产量和品质,另一方面,水稻谷粒的元素组成又能反映出一定的土壤信息。这说明任何一个地区的稻田和水稻都有其特性,形成一个协容的系统。 | 王雪梅 贺玉晓 刘刚才 | 2015 | 中国农学通报2015，31，11： | 1 |
| 8 | 黑土区玉米穗质量与影响因素的联合多重分形研究显示文摘为揭示黑土区玉米穗质量与影响因素相互关系的尺度效应,在分析玉米穗质量与影响因素空间变异的基础上,利用联合多重分形方法研究玉米穗质量与影响因素的多尺度相关性。结果表明:研究区玉米穗质量的变异程度为中等,茎粗的变异程度随时间变化由中等变为弱变异,其他影响因素的变异程度为弱变异;玉米穗质量与影响因素的空间相关范围介于7.15~66.51 m;玉米穗质量、叶绿素含量、土壤容重、土壤粒径分布体积分形维数具有强烈空间相关性,茎粗、土壤含水率、土壤饱和含水率具有中等空间相关性;单一尺度上茎粗和叶绿素含量对玉米穗质量的空间变异性有显著影响,多尺度上叶绿素含量、土壤粒径分布体积分形维数、茎粗、土壤含水率对玉米穗质量的空间变异性有显著影响;玉米穗质量与土壤特性、不同时期作物生长指标的多尺度相关程度绝大部分都大于单一尺度上的相关程度;随取样时间变化,玉米穗质量与茎粗在单一尺度和多尺度上的相关程度均先增后降,但开始降低的时间不同。 | 刘继龙 张玲玲 付强 任高奇 刘璐 虞鹏 | 2018 | 农业机械学报2018，49，4： | 0 |
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