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.     

中国西北地区膜下滴灌对棉田土壤CO2通量和浓度的影响

In northwestern China,there has been a change from traditional cultivation system (TC) with no mulching and flood irrigation to a more modern cultivation system (MC) using plastic film mulching with drip irrigation.A field study was conducted to compare soil CO 2 concentrations and soil surface CO 2 fluxes between TC and MC systems during a cotton growing season.CO 2 concentrations in the soil profile were higher in the MC system (3 107-9 212 μL L-1) than in the TC system (1 275-8 994 μL L-1) but the rate of CO 2 flux was lower in the MC system.Possible reasons for this included decreased gas diffusion and higher soil moisture due to the mulching cover in the MC system,and the consumption of soil CO2 by weathering reactions.Over the whole cotton growing season,accumulated rates of CO2 flux were 300 and 394 g C m-2 for the MC and TC systems,respectively.When agricultural practices were converted from traditional cultivation to a plastic film mulching system,soil CO 2 emissions could be reduced by approximately 100 g C m-2 year-1 in agricultural lands in arid and/or semi-arid areas of northern and northwestern China.     

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.     

基于1:50 000土壤数据库并结合PKB方法估算中国浙江省土壤有机碳储量的研究

Soil organic carbon(SOC) is an important component of farming systems and global carbon cycle. Accurately estimating SOC stock is of great importance for assessing soil productivity and modeling global climate change. A newly built 1:50 000 soil database of Zhejiang Province containing 2 154 geo-referenced soil profiles and a pedological professional knowledge-based(PKB) method were used to estimate SOC stock up to a depth of 100 cm for the Province. The spatial patterns of SOC stocks stratified by soil types,watershed(buffer analysis), topographical factors, and land use types were identified. Results showed that the soils in Zhejiang covered an area of 100 740 km2 with a total SOC stock of 831.49 × 106 t and a mean SOC density of 8.25 kg m-2, excluding water and urban areas. In terms of soil types, red soils had the highest SOC stock(259.10 × 106t), whereas mountain meadow soils contained the lowest(0.15 × 106t). In terms of SOC densities, the lowest value(5.11 kg m-2) was found in skel soils, whereas the highest value(45.30 kg m-2) was observed in mountain meadow soils. Yellow soils, as a dominant soil group, determined the SOC densities of different buffer zones in Qiantang River watershed because of their large area percentage and wide variation of SOC density values.The area percentages of various soil groups significantly varied with increasing elevation or slope when overlaid with digital elevation model data, thus influencing the SOC densities. The highest SOC density was observed under grassland, whereas the lowest SOC density was identified under unutilized land. The map of SOC density(0–100 cm depth) and the spatial patterns of SOC stocks in the Province would be helpful for relevant agencies and communities in Zhejiang Province, China.     

基于Landsat遥感影像和1∶50 000土壤数据库的福州市耕地有机碳动态变化研究

耕地土壤碳库是全球碳库中最为活跃的部分,其变化对全球气候变化产生重要影响。目前对耕地土壤有机碳估算多采用中、小系列比例尺的土壤数据库,较少结合遥感影像与大比例尺土壤数据库进行估算。基于此,本研究采用Landsat遥感影像和1∶50 000高精度土壤数据库,以福建省福州市为例,基于遥感与碳循环过程模型对1987年和2016年耕地土壤有机碳动态变化进行研究。结果表明,利用Landsat影像反演得到的耕地土壤基础呼吸与土壤有机碳相关性强,建立的1987年和2016年模型R²分别为0.637和0.752。研究期间,全市耕地土壤有机碳密度从东部沿海向西部内陆地区递增,整体发挥着“碳汇”作用,有机碳密度和储量分别增加0.20 kg·m^-2和2.946×10⁵ t。从不同土壤类型比较得出,黄壤、红壤和水稻土是“碳汇”,有机碳密度分别增加0.70 kg·m^-2、0.40 kg·m^-2和0.19 kg·m^-2;其他土类为“碳源”,其中,水稻土碳储量最大,两期在全市总碳储量中占比均超过90%。从不同行政区比较得出,仓山区、长乐区、马尾区和连江县为“碳源区”,其他地区为“碳汇区”,其中,仓山区碳储量一直为全市最低,两期占比均不足0.5%,而福清市则一直居于全市首位,占比均高于20%。总体而言,福州市耕地土壤有机碳30年间空间动态变化显著,在不同土类和行政区间存在差异,今后应根据不同耕地土壤类型和行政区的有机碳情况有针对性进行耕地管理。     

Estimating soil carbon dynamics in intercrop and sole crop agroecosystems using the Century model

Using process‐based models to predict changes in carbon (C) stocks enhances our knowledge on the long‐term dynamics of soil organic carbon (SOC) in various land management systems. The objective of this study was to apply the Century model to evaluate temporal SOC dynamics in two temperate intercrop systems [1:2 (one row of maize and two rows of soybeans); 2:3 intercrop (two rows of maize and three rows of soybean)] and in a maize and soybean sole crop. Upon initiation of intercropping, SOC increased by 47% after ≈ 100 years, whereas SOC in the maize sole crop increased by 21% and 2% in the soybean sole crop. The quantity of crop residue input was sufficient to increase the active (turnover time of months to years) SOC fraction in the intercrops and the maize sole crop, but not in the soybean sole crop. The slow fraction, with a turnover time of 20 to 50 years, increased in all crop systems and was the major driver of SOC accumulation. A 3 to 15% loss of SOC from the passive fraction, with a turnover time of 400 to 2000 years, in all crop systems showed the long‐term impact of land‐use conversion from historically undisturbed native grasslands to intensive agricultural production systems. This study provided an example of the potential of process‐based models like Century to illustrate possible effects of cereal–legume intercropping on SOC dynamics and that the model was able to predict SOC stocks within –7 to +4% of measured values. We conclude, however that further fine‐tuning of the model for application to cereal–legume intercrop systems is required in order to strengthen the relationship between measured and simulated values.     

耕层厚度对华北高产灌溉农田土壤有机碳储量的影响

针对华北平原长期少免耕可能导致的耕层变浅、变紧的问题,通过人为设置不同耕层厚度试验,采用等质量土壤有机碳库储量和层化比的研究方法,研究了4种耕层厚度（10、20、30、40 cm）水平下0～50 cm土壤有机碳的变化。2 a的田间试验结果表明,不同耕层厚度对土壤有机碳含量有显著差异,与2007年试验开始时相比,土壤有机碳质量分数都不同程度下降,下降幅度为22%～48%。利用等质量计算方法表明20 cm耕层厚度的处理土壤有机碳储量最高。通过层化比的研究表明,随着时间的推移,20 cm的耕层厚度层化比最高,其     

耕作方式对华北农田土壤有机碳储量及温室气体排放的影响

耕作方式能够改变土壤有机碳在土层中的分布,进而对土壤有机碳及土壤碳储量产生影响。该研究在模型调整的基础上选取了土壤有机碳(SOC)、土壤碳密度(SCD)、土壤呼吸(SR)以及生物量碳(BC)4个指标对DNDC(denitrification-decomposition)模型在华北麦-玉两熟农田的适用性进行验证,并用该模型模拟当地土壤碳储量(SCS)动态变化以及温室气体排放特征。结果表明,模型模拟值与实测值吻合良好,此模型可以适用于华北麦-玉两熟农田土壤有机碳的模拟研究;2001-2010年SOC和SCS逐年递增;对未来100a模拟发现,前15a旋耕(RT)和翻耕(CT)处理SOC增长迅速,而免耕(NT)SOC的剧烈增长趋势要持续近40a;对比各处理100a碳储量变化可知,前20aCT处理SCS最大,20a后NT处理SCS最大;各处理土壤全球变暖潜势(GWP)大小为CT>RT>NT。通过验证该文证明了DNDC模型可以较好地研究华北麦-玉两熟农田土壤碳循环;长久来看NT有利于农田SCS的积累以及GWP的降低。该研究能够为华北麦-玉两熟农作区固碳减排提供依据。     

紫色土坡耕地土壤团聚体分形维数与有机碳关系

为深入理解有机碳对土壤团聚体的影响,采用干筛法和重铬酸钾外加热法并基于相关分析研究了不同施肥处理紫色土耕地土壤团聚体分形维数（D）与有机碳（SOC）的关系。结果表明：不同施肥处理和土层间 D 与SOC均存在差异,变化范围分别为2.376～2.603、3.54～12.07 g/kg,均值都随土层变深呈递减趋势。全样本（n=36,不区分处理和土层）中D与SOC显著相关,但并非简单相关。进一步对D与各粒级有机碳含量（fSOC）的相关分析表明,在全样本中二者相关性显著,且随粒级的减小相关程度变大。不同施肥处理和土层间的相关分析中二者相关性又表现不同：除对照CK,其他处理的呈现多组显著相关,耕作层（0～20 cm）多组的相关性都很微弱,而犁底层（＞20～30 cm）的多个组却显著相关。分析认为,这与不同施肥处理所提供的碳源在团聚体形成过程中所起作用的差异有关,该差异将使团聚体形成各自的特点从而表现出各自的分形特征;并且D与fSOC相关性的差异是团聚体中大小颗粒间结构相似程度的反映,体现出各级团聚体在形成过程中的主导因素是否具有一致性,表明该相关关系对形成土壤结构的主导影响因素具有表征作用。该研究结果有助于深入认识和理解土壤团聚体分形维数的影响因素、物理意义以及对土壤结构的表征性。     

农田土壤固碳作用对温室气体减排的影响

温室气体排放引起的全球气候变暖和平流层臭氧空洞已成为当前人们关注的环境问题之一。土壤碳库作为地表生态系统中最活跃的碳库之一,是甲烷、二氧化碳、一氧化二氮等温室气体的重要释放源,也是重要的吸收汇。因此,寻找农田土壤系统碳管理的有效方法已经成为缓解温室效应的重要科学问题。西方发达国家已将固碳农业作为环境管理的重要导向,应用颗粒分组13CNMR或CPMAS-NMR技术对土壤碳固定的机制研究指出微团聚体与矿物-粘粒复合体的相互作用是土壤有机碳稳定存在的主要方式,揭示了土壤有机碳的腐殖质转化及其与土壤矿物、金属氧化物结合的微观水平,且从土壤物理结构、化学组成和生物学特性等多学科交叉研究土壤有机碳的固定机理及其稳定机制。长期传统的土地利用方式和管理措施所导致的土壤有机碳含量、密度及垂直分布的变化是造成土壤碳库损失的主要原因,为了增加农业生态系统土壤有机碳的含量,土地利用方式和农业管理措施应该从增加有机碳输入量和减少有机碳矿化两方面着手,加强对农业土壤固碳潜力和土壤碳库稳定性影响因素的多角度研究。     

137Cs示踪分析东北黑土坡耕地土壤侵蚀对有机碳组分的影响

研究土壤侵蚀对有机碳不同组分流失的影响,可为科学评估土壤侵蚀在碳循环中的作用和探明农田有机碳变化机制提供理论依据.该研究以典型黑土区一凸型耕地坡面为研究对象,基于137Cs示踪技术,分析了坡面土壤侵蚀特征及强度分布,定量分析了坡面有机碳组分的变化幅度及侵蚀强度与有机碳组分间的关系.结果表明:研究坡面年均侵蚀速率为380...     

Impact of cultivation on soil organic carbon and carbon sequestration potential in semiarid regions of China

Dynamic changes in soil organic carbon (SOC) have become a popular topic in global research on organic carbon as part of the increasing attention being paid to food security and reducing greenhouse gas emissions. In this paper, the semiarid regions of China were selected as a research focus, and SOC data from 1980 to 2015 were analysed using IBM SPSS Statistics 20.0 software. SOC in farmland varied according to cultivated land type, mulching material type and planting method in the studied regions. The SOC content is 10.3–10.8 g kg⁻¹ in supplementally irrigated land and flat dry land, 7.1–8.7 g kg⁻¹ in terraced dry land and river beach land, and 6.2–6.4 g kg⁻¹ in sloping dry land. The SOC content increased to 16.1–17.4 g kg⁻¹ when crop stalks were used as mulch. The increase was only 11.5–13.5 g kg⁻¹ in soils mulched with film or sandstone. The SOC value in wheat, maize and potatoes sown on single or double ridges was 2.4%–3.2%, 35.7%–36.4% and 4.4%–4.8%, respectively, which are higher than the values for wheat, maize and potatoes sown using the flat planting method. The SOC sequestering potential also varied according to the previously noted factors and was improved from 224.1% to 383.8% depending on cultivated land type, from 96.5% to 182.3% depending on mulching material type and from 96.1% to 191.3% depending on planting method. The SOC sequestering potential can be improved by 453.2%–757.4% with the integration of the optimal cultivated land type, mulching material type and planting method. Thus, there is substantial soil carbon sequestration potential in China's semiarid regions.     

转变耕作方式对长期旋免耕农田土壤有机碳库的影响

土壤深松是解决长期旋免耕农田耕层浅薄化、亚表层（>15～30 cm）容重增加等问题的有效方法之一,而将长期旋免耕农田进行深松必然导致农业生态系统中土壤有机碳（soil organic carbon,SOC）及碳固定速率的变化。因此,为对比将长期旋免耕转变为深松前后农田土壤有机碳库变化,该研究利用连续12a 的旋耕和免耕长期定位试验以及在此基础上连续6 a旋耕-深松和免耕-深松定位试验,对比了转变耕作方式对农田土壤0～30 cm有机碳含量、周年累积速率及其固碳量的影响。研究结果表明,经过连续12 a的旋耕和免耕处理（2002－2014）,2014年免耕处理土壤0～30 cm有机碳储量比试验初期（2002年）提高38%,旋耕处理降低了30%,而对照常规处理无显著差异。免耕处理土壤0～30 cm有机碳储量比旋耕处理高约2.6倍（2014年）。长期免耕显著提高了土壤0～30 cm的有机碳含量,2002~2014年其土壤0～30 cm固碳量为16.69 t/hm2,但长期旋耕导致土壤0～30 cm SOC含量显著降低,表现为土壤有机碳的净损耗,年损耗速率为?0.75 t/hm2。而长期旋耕后进行深松（旋耕-深松处理）6年其土壤0～30 cm的有机碳含量较原旋耕处理提高32%～67%,且显著提高了土壤固碳量及周年累积速率;免耕-深松土壤0～30 cm的有机碳周年累积速率较免耕处理下降了42%。长期旋耕造成有机碳水平下降的条件下,将旋耕处理转变为深松处理在短期内更有利于促进土壤有机碳的积累,而将长期免耕处理转变为深松措施,降低了土壤有机碳的累积速率和固碳量。