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| 1 | 潮滩湿地土壤有机碳储量及其与土壤理化因子的关系——以崇明东滩为例显示文摘基于上海崇明东滩2013年3月的实测数据,借助ArcGIS软件进行Kriging空间插值,运用SPSS 21.0软件进行相关分析及通径分析,研究了崇明东滩表层30 cm深度土壤有机碳含量以及环境因子的空间分布特征,并对土壤有机碳储量进行了估算。结果表明,崇明东滩表层30 cm深度土壤有机碳密度介于1.02-5.22 kg·m^-2之间,平均值为2.32 kg·m^-2,土壤有机碳储量为1.15×10^8kg。土壤有机碳含量、土壤全盐量、含水量和NDVI指数的空间分布规律类似,呈现北高南低、高潮滩高而低潮滩低的趋势。中值粒径和容重的空间分布规律类似,表现为北低南高,高潮滩小于低潮滩。高程和p H值的空间分布规律不明显,空间变异性较小。7项环境因子与土壤有机碳含量都存在显著相关性,其中土壤全盐量是影响崇明东滩表层土壤有机碳含量的最主要因子。 | 姜俊彦 黄星 李秀珍 闫中正 李希之 丁文慧 | 2015 | 生态与农村环境学报2015，31，4： | 24 |
| 2 | 基于GWR模型的伊河流域土壤有机碳空间分布特征及影响因素分析显示文摘土壤有机碳作为陆地碳库主体,其分布特征及与驱动因素的空间关系对土壤碳周转过程有重大影响。通过野外调查、采样和室内分析,基于地理加权回归(GWR)模型结合9个环境和土壤变量,建模分析伊河流域土壤有机碳空间分布状况,以及影响其分布的主要因素。研究发现,流域表层土壤有机碳在3.37—38.34 g/kg之间,上、中、下游有机碳分布存在空间差异,其中上游差异最大,下游差异最小。相关分析表明,有机碳与土壤理化性质相关性显著,与年平均气温以外的环境因子相关性不显著。GWR模型较好地预测了伊河流域土壤有机碳空间分布,局部决定系数在0.49—0.64之间,自下游到上游,决定系数逐步升高,对上游的预测精度最高。分析发现,在海拔较高的中上游区域,土壤有机碳含量主要受立地环境、成土母质和地表覆盖的影响;在中上游低山丘陵区,人类活动和环境因素共同影响了土壤有机碳含量;在中下游平原区农业活动和化肥投入是造成土壤有机碳含量较高的主要因素。研究揭示了各因素对有机碳影响的空间分异特征,可为伊河流域土壤生态系统的合理发展和管理提供依据。 | 丁亚鹏 张俊华 刘玉寒 卢翠玲 王烁骞 秦静婷 丁圣彦 | 2021 | 生态学报2021，41，12： | 17 |
| 3 | 吉林省耕层土壤有机碳储量及影响因素显示文摘为了了解最易受人类活动影响的耕地表层土壤有机碳库对土壤碳库变化及土壤固碳的潜力,以吉林省为研究区域,基于吉林省土肥站提供的2010年耕地地力评价数据(5742个耕地表层土壤采样点数据)以及1∶500 000土壤图等用于分析的基础图件资料,结合ArcGIS技术及统计分析软件SPSS,分析计算了研究区耕地表层土壤有机碳密度、储量及其空间分布特征,并且对吉林省耕地表层土壤有机碳与影响因素之间的关系进行研究。结果表明:吉林省耕地表层有机碳平均密度为3.95kg·m-2,土壤有机碳总储量约为0.206Pg;吉林省东部、中部和西部三大自然地理区域的耕地表层有机碳平均密度分别为4.94、3.66kg·m-2和3.22kg·m-2,自东向西有递减的趋势。各土壤类型中,暗棕壤、白浆土、黑土、黑钙土、草甸土5种土壤类型的耕地表层有机碳储量约占耕地表层土壤有机碳总储量的75.37%,高于其他土壤类型。土壤有机碳含量与年积温呈不显著负相关关系,与年降雨量、土壤阳离子交换量呈显著正相关关系,与pH呈显著负相关关系,在对土壤有机碳进行空间预测和碳库估算时,需要考虑以上四个重要因子。总之,吉林省耕地表层土壤有机碳密度具有高度的空间变异性,整体上呈现自东向西逐渐减小的趋势,年降雨量、年积温、土壤pH及CEC与耕地表层土壤有机碳含量密切相关。 | 于沙沙 窦森 黄健 杨靖民 石瑛 郑海辉 | 2014 | 农业环境科学学报2014，33，10： | 11 |
| 4 | Changes in soil organic carbon and nitrogen after 26 years of farmland management on the Loess Plateau of China显示文摘Soil carbon(C) and nitrogen(N) play a crucial role in determining the soil and environmental quality. In this study, we investigated the effects of 26 years(from 1984 to 2010) of farmland management on soil organic carbon(SOC) and soil N in abandoned, wheat(Triticum aestivum L.) non-fertilized, wheat fertilized(mineral fertilizer and organic manure) and alfalfa(Medicago Sativa L.) non-fertilized treatments in a semi-arid region of the Loess Plateau, China. Our results showed that SOC and soil total N contents in the 0–20 cm soil layer increased by 4.29(24.4%) and 1.39 Mg/hm2(100%), respectively, after the conversion of farmland to alfalfa land. Compared to the wheat non-fertilized treatment, SOC and soil total N contents in the 0–20 cm soil layer increased by 4.64(26.4%) and 1.18 Mg/hm2(85.5%), respectively, in the wheat fertilized treatment. In addition, we found that the extents of changes in SOC, soil total N and mineral N depended on soil depth were greater in the upper soil layer(0–30 cm) than in the deeper soil layer(30–100 cm) in the alfalfa land or fertilizer-applied wheat land. Fertilizer applied to winter wheat could increase the accumulation rates of SOC and soil total N. SOC concentration had a significant positive correlation with soil total N concentration. Therefore, this study suggested that farmland management, e.g. the conversion of farmland to alfalfa forage land and fertilizer application, could promote the sequestrations of C and N in soils in semi-arid regions. | ZHOU Zhengchao ZHANG Xiaoyan GAN Zhuoting | 2015 | Journal of Arid Land2015，7，6： | 10 |
| 5 | 典型柑橘种植区土壤有机质空间分布与含量预测显示文摘以湖北省宜都市红花套镇典型柑橘种植区采集到的329个土壤样本为研究对象,设置土壤有机质(SOM)进行普通克里格(OK)插值的结果为参照,借助地理探测器选取与SOM相关性最大的前5种主要影响因子,分别建立全局模型多元线性回归、偏最小二乘回归和局部模型地理加权回归(GWR),再深入分析模型残差的结构性,构造GWR扩展模型GWRMLR、GWRPLSR,讨论几种SOM预测模型的差异。结果表明:使用GWRPLSR模型预测研究区SOM含量的均方误差和均方根误差可分别降低到9.834和3.136,相对分析误差提高到1.468,实测值与预测值间的相关系数(r)达0.743,具有最高的预测精度,GWRMLR其次,说明除SOM与主要影响因子间存在空间相关性,分析模型残差可进一步消除预测的不平稳性。因此,将模型残差项纳入考虑的局部扩展模型更适宜进行区域化SOM空间分布预测与数字土壤制图。 | 段丽君 张海涛 郭龙 杜佩颖 陈可 琚清兰 | 2019 | 华中农业大学学报2019，38，1： | 9 |
| 6 | 基于环境因子和邻近信息的土壤属性空间分布预测显示文摘为探索乡镇尺度上土壤属性空间分布预测的最佳方法,以江西省万年县齐埠镇为例,借助四方位搜索法、地统计学和遥感影像分析技术提取环境因子(地形因子和植被覆盖指数)和邻近信息[w(有机质)与w(速效钾)],构建OK法(普通克里金法)、RK1法(仅基于环境因子的回归克里金法)以及RK2法(基于环境因子和邻近信息的回归克里金法)对齐埠镇耕地表层(0~20 cm)土壤w(有机质)、w(速效钾)空间分布进行预测.结果表明:齐埠镇土壤w(有机质)平均值为35.03 g/kg,w(速效钾)平均值为96.73 mg/kg,均为中等空间变异性.对62个样点进行建模,16个测试样点进行独立验证的误差分析表明,RK2法对土壤w(有机质)、w(速效钾)预测结果的均方根误差、平均绝对误差和平均相对误差较OK法分别降低了18.05%、18.01%、21.77%和7.25%、9.49%、9.84%;较RK1法分别降低了22.48%、20.91%、22.02%和9.27%、12.61%、13.52%.研究显示,RK2法明显提高了土壤w(有机质)、w(速效钾)空间分布模拟精度,并且存在改进和提高的空间. | 江叶枫 孙凯 郭熙 叶英聪 饶磊 李伟峰 | 2017 | 环境科学研究2017，30，7： | 7 |
| 7 | 黄河泥沙冲/沉积区土壤有机碳不同组分空间特征及变异机制显示文摘黄河泥沙是黄河下游陆地地貌类型形成的物质来源,泥沙沉积改变了地表土壤结构和有机碳含量水平。基于室内外实验和空间地统计分析方法,文中对开封-周口土壤有机碳组分的空间特征和影响因素进行了分析。在0~100 cm土壤中TOC、AOC、NOC的含量分别为0.05~30.03 g/kg、0.01~8.86 g/kg和0.02~23.36 g/kg,表层0~20 cm的TOC、AOC、NOC高于下层,同一土层中TOC的变化幅度和含量差异性最大,AOC最小,NOC介于二者之间。NOC的含量对TOC的贡献大于AOC。空间地统计学研究显示,TOC、AOC、NOC的块金系数在0.50~0.67之间,具有中等程度的空间相关性,TOC、AOC、NOC的含量受结构因素和随机因素的共同作用,且二者的作用强度接近。空间上,自表层向下层,土壤TOC、AOC和NOC的整体变化趋势较为一致,高值区与低值区之间过渡明显,NOC和AOC的含量及空间变化能较好地反映TOC的空间变化和碳积累区域。分析发现,黄河泥沙冲/沉积区分布、农业耕作过程和耕作历史是影响区内土壤有机碳及其组成含量和空间分布的主要因素,而有机物的输入量、土壤颗粒物组成及二者的动态关系是影响土壤结构体形成和有机碳含量的关键因素,提高有机物的含量和改善土壤结构是提升土壤质量、实现区内农业持续发展的有效途径。 | 张俊华 李国栋 王岩松 朱连奇 赵文亮 丁亚鹏 | 2020 | 地理学报2020，75，3： | 6 |
| 8 | 1980—2008年苏北旱地土壤有机碳含量变化特征显示文摘利用基于江苏北部旱地1980年第2次土壤普查的983个旱地剖面和2008年农业部测土配方施肥项目1506个样点数据建立的1∶5万高精度土壤数据库,对该地区表层土壤(0~20 cm)有机碳含量变化特征进行了研究.结果表明:1980—2008年苏北旱地土壤有机碳含量由6.00 g·kg^-1增长到10.30 g·kg^-1,增幅为71.67%.从土壤类型来看,有机碳增幅最大的是分布面积最广的潮土,上升了5.12 g·kg^-1,棕壤和紫色土次之,分别上升了4.91和4.80 g·kg^-1,而增幅最小的是石灰土,仅上升了0.01 g·kg^-1.从行政单元来看,各地级市的土壤有机碳含量上升范围在3.0~5.0 g·kg^-1之间,其中大多数县的土壤有机碳含量上升范围在2.4~6.0 g·kg^-1之间.总体来看,苏北旱地土壤有机碳的累积程度与气候、有机碳初始值及肥料施用量密切相关. | 路晓彤 刘绍贵 张黎明 于东升 史学正 邢世和 | 2020 | 福建农林大学学报(自然科学版)2020，49，1： | 4 |
| 9 | Spatial variation and driving mechanism of soil organic carbon components in the alluvial/sedimentary zone of the Yellow River显示文摘Alluviation and sedimentation of the Yellow River are important factors influencing the surface soil structure and organic carbon content in its lower reaches.Selecting Kaifeng and Zhoukou as typical cases of the Yellow River flooding area,the field survey,soil sample collection,laboratory experiment and Geographic Information System(GIS)spatial analysis methods were applied to study the spatial distribution characteristics and change mechanism of organic carbon components at different soil depths.The results revealed that the soil total organic carbon(TOC),active organic carbon(AOC)and nonactive organic carbon(NOC)contents ranged from 0.05–30.03 g/kg,0.01–8.86 g/kg and 0.02–23.36 g/kg,respectively.The TOC,AOC and NOC contents in the surface soil layer were obviously higher than those in the lower soil layer,and the sequence of the content and change range within a single layer was TOC>NOC>AOC.Geostatistical analysis indicated that the TOC,AOC and NOC contents were commonly influenced by structural and random factors,and the influence magnitudes of these two factors were similar.The overall spatial trends of TOC,AOC and NOC remained relatively consistent from the 0–20 cm layer to the 20–100 cm layer,and the transition between high-and low-value areas was obvious,while the spatial variance was high.The AOC and NOC contents and spatial distribution better reflected TOC spatial variation and carbon accumulation areas.The distribution and depth of the sediment,agricultural land-use type,cropping system,fertilization method,tillage process and cultivation history were the main factors impacting the spatial variation in the soil organic carbon(SOC)components.Therefore,increasing the organic matter content,straw return,applying organic manure,adding exogenous particulate matter and conservation tillage are effective measures to improve the soil quality and attain sustainable agricultural development in the alluvial/sedimentary zone of the Yellow River. | LI Guodong ZHANG Junhua ZHU Lianqi TIAN Huiwen SHI Jiaqi REN Xiaojuan | 2021 | Journal of Geographical Sciences2021，31，4： | 2 |
| 10 | Combining Environmental Factors and Lab VNIR Spectral Data to Predict SOM by Geospatial Techniques显示文摘Soil organic matter(SOM) is an important parameter related to soil nutrient and miscellaneous ecosystem services. This paper attempts to improve the performance of traditional partial least square regression(PLSR) model by considering the spatial autocorrelation and soil forming factors. Surface soil samples(n = 180) were collected from Honghu City located in the middle of Jianghan Plain, China. The visible and near infrared(VNIR) spectra and six environmental factors(elevation, land use types, roughness, relief amplitude, enhanced vegetation index, and land surface water index) were used as the auxiliary variables to construct the multiple linear regression(MLR), PLSR and geographically weighted regression(GWR) models. Results showed that: 1) the VNIR spectra can increase about 39.62% prediction accuracy than the environmental factors in predicting SOM; 2) the comprehensive variables of VNIR spectra and the environmental factors can improve about 5.78% and 44.90% relative to soil spectral models and soil environmental models, respectively; 3) the spatial model(GWR) can improve about 3.28% accuracy than MLR and PLSR. Our results suggest that the combination of spectral reflectance and the environmental variables can be used as the suitable auxiliary variables in predicting SOM, and GWR is a promising model for predicting soil properties. | GUO Long ZHANG Haitao CHEN Yiyun QIAN Jing | 2019 | Chinese Geographical Science2019，29，2： | 1 |
| 11 | 肯尼亚东Mau森林保护区土壤有机碳和全氮储量建模与制图(英文)显示文摘Detailed knowledge about the estimates and spatial patterns of soil organic carbon(SOC) and total nitrogen(TN) stocks is fundamental for sustainable land management and climate change mitigation.This study aimed at:(1) mapping the spatial patterns,and(2) quantifying SOC and TN stocks to 30 cm depth in the Eastern Mau Forest Reserve using field,remote sensing,geographical information systems(GIS),and statistical modelling approaches.This is a critical ecosystem offering essential services,but its sustainability is threatened by deforestation and degradation.Results revealed that elevation,silt content,TN concentration,and Landsat 8 Operational Land Imager band 11 explained 72% of the variability in SOC stocks,while the same factors(except silt content) explained 71% of the variability in TN stocks.The results further showed that soil properties,particularly TN and SOC concentrations,were more important than that other environmental factors in controlling the observed patterns of SOC and TN stocks,respectively.Forests stored the highest amounts of SOC and TN(3.78 Tg C and 0.38 Tg N) followed by croplands(2.46 Tg C and 0.25 Tg N) and grasslands(0.57 Tg C and 0.06 Tg N).Overall,the Eastern Mau Forest Reserve stored approximately 6.81 Tg C and 0.69 Tg N.The highest estimates of SOC and TN stocks(hotspots) occurred on the western and northwestern parts where forests dominated,while the lowest estimates(coldspots) occurred on the eastern side where croplands had been established.Therefore,the hotspots need policies that promote conservation,while the coldspots need those that support accumulation of SOC and TN stocks. | Kennedy WERE Bal Ram SINGH ?ystein Bjarne DICK | 2016 | Journal of Geographical Sciences2016，26，1： | 1 |
| 12 | Changes in ecosystem carbon stocks in a grassland ash (Fraxinus excelsior) afforestation chronosequence in Ireland显示文摘Aims Government policy in Ireland is to increase the national forest cover from the current 10%to 18%of the total land area by 2020.This represents a major land use change that is expected to impact on the national carbon(C)stocks.While the C stocks of ecosystem bio-mass and soils of Irish grasslands and coniferous forests have been quantified,little work has been done to assess the impact of broad-leaf afforestation on C stocks.Methods In this study,we sampled a chronosequence of ash(Fraxinus excel-sior)forests aged 12,20,27,40 and 47 years on brown earth soils.A grassland site,representative of the pre-afforestation land use,was sampled as a control.Important Findings Our results show that there was a significant decline(P<0.05)in the carbon density of the soil(0-30 cm)following afforestation from the grassland(90.2 Mg C ha^(−1))to the 27-year-old forest(66.7 Mg C ha^(−1)).Subsequently,the forest soils switched from being a C source to a C sink and began to sequester C to 71.3 Mg C ha^(−1) at the 47-year-old forest.We found the amount of C stored in the above-and belowground biomass increased with age of the forest stands and offset the amount of C lost from the soil.The amount of C stored in the above-and belowground biomass increased on average by 1.83 Mg C ha^(−1) year^(−1).The increased storage of C in the biomass led to an increase in the total ecosystem C,from 90.2 Mg C ha^(−1) at the grassland site to 162.6 Mg C ha^(−1) at the 47-year-old forest.On a national scale,projected rates of ash afforestation to the year 2020 may cause a loss of 290752 Mg C from the soil compared to 2525936 Mg C sequestered into the tree biomass.The effects of harvesting and reforestation may further modify the development of ecosystem C stocks over an entire ash rotation. | Michael L.Wellock Rashad Rafique Christina M.LaPerle Matthias Peichl Gerard Kiely | 2014 | Journal of Plant Ecology2014，7，5： | 1 |
| 13 | Carbon storage in a wolfberry plantation chronosequence established on a secondary saline land in an arid irrigated area of Gansu Province,China显示文摘Carbon(C) storage has received significant attention for its relevance to agricultural security and climate change. Afforestation can increase C storage in terrestrial ecosystems, and has been recognized as an important measure to offset CO_2 emissions. In order to analyze the C benefits of planting wolfberry(Lycium barbarum L.) on the secondary saline lands in arid areas, we conducted a case study on the dynamics of biomass carbon(BC) storage and soil organic carbon(SOC) storage in different-aged wolfberry plantations(4-, 7-and 11-year-old) established on a secondary saline land as well as on the influence of wolfberry plantations on C storage in the plant-soil system in an arid irrigated area(Jingtai County) of Gansu Province, China. The C sequestration and its potential in the wolfberry plantations of Gansu Province were also evaluated. An intact secondary saline land was selected as control. Results show that wolfberry planting could decrease soil salinity, and increase BC, SOC and litter C storage of the secondary saline land significantly, especially in the first 4 years after planting. The aboveground and belowground BC storage values in the intact secondary saline land(control) accounted for only 1.0% and 1.2% of those in the wolfberry plantations, respectively. Compared to the intact secondary saline land, the SOC storage values in the 4-, 7-and 11-year-old wolfberry plantations increased by 36.4%, 37.3% and 43.3%, respectively, and the SOC storage in the wolfberry plantations occupied more than 92% of the ecosystem C storage. The average BC and SOC sequestration rates of the wolfberry plantations for the age group of 0–11 years were 0.73 and 3.30 Mg C/(hm^2·a), respectively. There were no significant difference in BC and SOC storage between the 7-year-old and 11-year-old wolfberry plantations, which may be due in part to the large amounts of C offtakes in new branches and fruits. In Gansu Province, the C storage in the wolfberry plantations has reached up to 3.574 Tg in 2013, and the C sequestration potential of the existing wolfberry plantations was 0.134 Tg C/a. These results indicate that wolfberry planting is an ideal agricultural model to restore the degraded saline lands and increase the C sequestration capacity of agricultural lands in arid areas. | MA Quanlin WANG Yaolin LI Yinke SUN Tao Eleanor MILNE | 2018 | Journal of Arid Land2018，10，2： | 1 |
| 14 | 中国旱作区土壤有机碳密度三维模拟与固碳潜力估算显示文摘Soil organic carbon density(SOCD)and soil organic carbon sequestration potential(SOCP)play an important role in carbon cycle and mitigation of greenhouse gas emissions.However,the majority of studies focused on a two-dimensional scale,especially lacking of field measured data.We employed the interpolation method with gradient plane nodal function(GPNF)and Shepard(SPD)across a range of parameters to simulate SOCD with a 40 cm soil layer depth in a dryland farming region(DFR)of China.The SOCP was estimated using a carbon saturation model.Results demonstrated the GPNF method was proved to be more effective in simulating the spatial distribution of SOCD at the vertical magnification multiple and search point values of 3.0×106 and 25,respectively.The soil organic carbon storage(SOCS)of 40 cm and 20 cm soil layers were estimated as 22.28×10^(11)kg and 13.12×10^(11)kg simulated by GPNF method in DFR.The SOCP was estimated as 0.95×10^(11)kg considered as a carbon sink at the 20–40 cm soil layer.Furthermore,the SOCP was estimated as–2.49×10^(11)kg considered as a carbon source at the 0–20 cm soil layer.This research has important values for the scientific use of soil resources and the mitigation of greenhouse gas emissions. | 孙忠祥 白慧卿 叶回春 卓志清 黄文江 | 2021 | Journal of Geographical Sciences2021，31，10： | 1 |
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