Assessing scale effects on modelled soil organic carbon contents as a result of land use change in Belgium

This paper explores the influence of spatial scale on modelled projections of soil organic carbon (SOC) content. The effect of land use change (LUC) on future SOC stocks was estimated using the Rothamsted Carbon model for a small area of southern Belgium. The study assumed no management change and used a single climate change scenario. Three model experiments were used to identify how data scale affects predicted SOC stocks: (i) using European LUC datasets at a resolution of 10′ and assuming equal distribution of change within the study area, (ii) using more accurate regional data aggregated to the 10’ resolution, and (iii) using the regional data at a spatial resolution of 250 m. The results show that using coarse resolution (10′) data is inappropriate when modelling SOC changes in the study area as only the methods using precise data predict a change in SOC stocks similar to those reported in the literature. This is largely because of differences in model parameterisation. However, precisely locating LUC does not significantly affect the results. The model, using either pan‐European or region‐specific precise data predicts an average SOC increase of 1 t C ha^?1 (1990–2050), mainly resulting from afforestation of 13% of agricultural land.     

耕地土壤有机碳组分的季节变化

Carbon fractions in soils apparently vary not only in space, but also over time. A lack of knowledge on the seasonal variability of labile carbon fractions under arable land hampers the reliability and comparability of soil organic carbon(SOC) surveys from different studies. Therefore, we studied the seasonal variability of two SOC fractions, particulate organic matter(POM) and dissolved organic carbon(DOC), under maize cropping: POM was determined as the SOC content in particle-size fractions, and DOC was measured as the water-extractable SOC(WESOC) of air-dried soil. Ammonium, nitrate, and water-extractable nitrogen were measured as potential regulating factors of WESOC formation because carbon and nitrogen cycles in soils are strongly connected. There was a significant annual variation of WESOC(coefficient of variation(CV) = 30%). Temporal variations of SOC in particle-size fractions were smaller than those of WESOC. The stocks of SOC in particle-size fractions decreased with decreasing particle sizes, exhibiting a CV of 20%for the coarse sand-size fraction(250–2 000 μm), of 9% for the fine sand-size fraction(50–250 μm), and of 5% for the silt-size fraction(20–50 μm). The WESOC and SOC in particle-size fractions both peaked in March and reached the minimum in May/June and August, respectively. These results indicate the importance of the time of soil sampling during the course of a year, especially when investigating WESOC.     

Tillage effect on organic carbon in a purple paddy soil

The distribution and storage of soil organic carbon （SOC） based on a long-term experiment with various tillage systems were studied in a paddy soil derived from purple soil in Chongqing, China. Organic carbon storage in the 0-20 and 0-40 cm soil layers under different tillage systems were in an order： ridge tillage with rice-rape rotation （RT-rr） 〉 conventional tillage with rice only （CT-r） 〉 ridge tillage with rice only （RT-r） 〉 conventional tillage with rice-rape rotation （CT-rr）. The RT-rr system had significantly higher levels of soil organic carbon in the 0-40 cm topsoil, while the proportion of the total remaining organic carbon in the total soil organic carbon in the 0-10 cm layer was greatest in the RT-rr system. This was the reason why the RT-rr system enhanced soil organic carbon storage. These showed that tillage system type was crucial for carbon storage. Carbon levels in soil humus and crop-yield results showed that the RT-rr system enhanced soil fertility and crop productivity. Adoption of this tillage system would be beneficial both for environmental protection and economic development.     

土壤有机碳研究进展

回顾了国内外土壤有机碳研究进展及趋势,阐述了全球土壤有机碳库存量及分布、我国土壤有机碳库储量概况、农田土壤有机碳组成及其影响因素、农田土壤有机碳转化规律及影响因素,指出了我国在土壤有机碳研究方面存在的问题及今后的发展方向.     

气候因子对森林土壤有机碳影响的幅度效应研究

揭示不同幅度上气候因子对土壤有机碳(Soil organic carbon,SOC)影响的主控性变化,是预测未来气候变化对SOC演变趋势影响的基础。本文利用中国西南地区363个森林土壤剖面数据,基于大区、省和地级市3个幅度,研究了气候因子对森林SOC密度的影响随幅度变化的规律及不同幅度下的主控气候因子。结果表明,年均降水量与SOC密度的相关性均随着幅度的减小而减弱,而年均气温与SOC密度的相关性随幅度变化的规律不明显,有较强的区域差异。大区幅度上,SOC密度主要受年均降水量和年均气温的综合作用。省级幅度上,西藏自治区东部主控因子为年均降水量,而四川和云南两省为年均气温。地级市幅度上,各市的主控因子基本与其所属的省一致。气候因子对SOC密度变异的解释能力在大区幅度上约20%,且随着幅度的减小解释能力也逐渐减小。     

气候和土壤质地对土壤有机碳影响的区域差异研究

The agricultural soil carbon pool plays an important role in mitigating greenhouse gas emission ana unaerstanamg the son orgamc carbon-climate-soil texture relationship is of great significance for estimating cropland soil carbon pool responses to climate change. Using data from 900 soil profiles, obtained from the Second National Soil Survey of China, we investigated the soil organic carbon （SOC） depth distribution in relation to climate and soil texture under various climate regimes of the cold northeast region （NER） and the warmer Huang-Huai-Hai region （HHHR） of China. The results demonstrated that the SOC content was higher in NER than in HHHR. For both regions, the SOC content at all soil depths had significant negative relationships with mean annual temperature （MAT）, but was related to mean annual precipitation （MAP） just at the surface 0-20 cm. The climate effect on SOC content was more pronounced in NER than in HHHR. Regional differences in the effect of soil texture on SOC content were not found. However, the dominant texture factors were different. The effect of sand content on SOC was more pronounced than that of clay content in NER. Conversely, the effect of clay on SOC was more pronounced than sand in HHHR. Climate and soil texture jointly explained the greatest SOC variability of 49.0% （0-20 cm） and 33.5% （20-30 cm） in NER and HHHR, respectively. Moreover, regional differences occurred in the importance of climate vs. soil texture in explaining SOC variability. In NER, the SOC content of the shallow layers （0-30 cm） was mainly determined by climate factor, specifically MAT, but the SOC content of the deeper soil layers （30-100 cm） was more affected by texture factor, specifically sand content. In HHHR, all the SOC variability in all soil layers was predominantly best explained by clay content. Therefore, when temperature was colder, the climate effect became stronger and this trend was restricted by soil depth. The regional differences and soil depth influence underscored the importance of explicitly considering them in modeling long-term soil responses to climate change and predicting potential soil carbon sequestration.     

重建生态系统有机碳贮量的时空变异

In global change research, changes of soil organic carbon (SOC) reservoirs in tropical and subtropical regions are still unknown. The temporal-spatial variability of SOC stocks was determined in a basin of over 579 km² in subtropical China from 1981 to 2002. ArcGIS8.l software was utilized for spatial analysis of semivariance, ordinary kriging (OK), and probability kriging (PK). Grid and hierarchical approaches were employed for the sampling scenario in 2002 with 106 Global Position System (GPS) established spots sampled. Bulk topsoil samples (0-30 cm) were collected at three random sites on each spot. The SOC content for 1981 came from the SOC map of the Second National Soil Survey. Geostatistical results of the nugget to sill ratio (0.215-0.640) in the rehabilitating ecosystem indicated a moderate spatial dependence for SOC on this large scale. The range of SOC changed from 2.04 km in 1981 to 7.15 km in 2002. The mean topsoil SOC increased by 4.6% from 10.63 g kg^-1 (1981) to 11.12 g kg^-1 (2002). However, during this 21-year period 25.2% of the total basin area experienced a decrease in SOC. Also, the probability kriging results showed that the geometric mean probabilities of SOC ≤ 6.0 g kg^-1, ≤ 11.0 g kg^-1 and > 15.0 g kg^-1 were 0.188, 0.534 and 0.378, respectively in 2002, comparing to 0.234, 0.416 and 0.234 in that order in 1981, respectively. The SOC storage in the topsoil increased by 17.0% during this time with the main increase occurring in forests and cultivated land, which amounted to 82.5% and 17.0% of the total increase, respectively.     

县域尺度土壤有机碳储量估算的样点密度优化

县域是我国国家尺度土壤碳库估算的基本地域单元,合理的土壤样品采集密度是保证估算精度要求的基础。以桃源县为例,设置4.70、0.90、0.60、0.40、0.25、0.15、0.10和0.05个km-2共8个样点密度梯度,利用经典统计学和地统计学方法,研究样点密度对县域尺度土壤有机碳库估算精度的影响。经典统计表明,随着样点密度的降低,重复抽样下土壤有机碳均值及其变异系数的波动逐渐增大,标准误差呈幂函数增加(Y=0.025X-0.47,R2=0.97,p0.01)。地统计学分析表明,随着样点密度的降低,块金值和基底效应逐渐增加,偏基台、变程和决定系数的波动幅度逐渐增大,拟合残差呈幂函数增加(Y=0.001 4X-1.66,R2=0.56,p0.05);土壤有机碳空间分布的局部差异逐渐被弱化,重复抽样下县域土壤有机碳库储量及其平均误差的波动逐渐增强,均方根误差呈幂函数增加(Y=0.77X-0.05,R2=0.59,p0.05)。从整体上看,样点密度小于0.15个km-2时,以上变化均急剧增强,土壤碳储量估算的精度快速降低。因此,综合科学、高效和经济方面的考虑,估算县域农田表层土壤有机碳储量的最佳样点密度为0.15个km-2。本研究结果可为开展区域尺度土壤有机碳野外调查提供辅助支持。     

不同有机物料对苏打盐化土有机碳和活性碳组分的影响

【目的】在大同盆地苏打盐化土上,研究不同有机物料对春玉米产量、土壤有机碳及活性碳组分的影响,明确土壤有机碳及活性碳组分与主要盐碱指标的相关关系,为苏打盐化土改良及有机物料资源化利用提供理论支撑。【方法】2016-2017年在山西省北部怀仁县开展田间定位试验,设对照(CK)、风化煤、生物炭、牛粪和秸秆5个处理,各处理有机物料施用量按照每年9000 kg/hm^2等有机碳投入量折算,收获时对春玉米进行测产。2017年春玉米收获后,采集土壤样品测定土壤有机碳总量(SOC)和水溶性有机碳(WSOC)、易氧化有机碳(EOC)、轻组有机碳(LFOC)含量,分析土壤活性碳组分占有机碳的比例、土壤有机碳及活性碳组分与盐碱指标之间的关系。【结果】与CK相比,生物炭和秸秆处理春玉米产量无明显差异,而风化煤和牛粪处理春玉米产量则分别显著提高30.2%和30.3%。添加有机物料促进了0-20 cm土层SOC累积,其中以风化煤和牛粪处理效果最佳,较CK分别提高47.6%和36.1%。在有机碳组分方面,风化煤和牛粪处理提高WSOC、EOC含量的效果显著高于生物炭、秸秆处理;风化煤、牛粪和秸秆处理的LFOC含量显著高于生物炭处理。四类有机物料处理的WSOC占总有机碳的比例差异不显著,牛粪处理的占比显著高于CK。EOC占总有机碳的比例以牛粪处理最高,风化煤次之,且二者均显著高于CK处理;LFOC占总有机碳的比例则表现为秸秆、牛粪>风化煤、生物炭> CK。此外,添加有机物料能有效降低0-20 cm土层土壤pH、电导率(EC)和碱化度(ESP),其中以风化煤和牛粪处理降幅最大。相关分析表明,土壤SOC与pH、EC和ESP呈显著负相关。【结论】通过有机物料改良效果比较,发现牛粪和风化煤处理能促进苏打盐化土有机碳累积,提高可溶性、易氧化态及轻组有机碳组分在总有机碳中的占比,降低土壤pH、EC和ESP,明显提高春玉米产量。因此,风化煤和牛粪是山西北部苏打盐化土良好的改良剂。     

不同地表覆盖栽培对旱地土壤有机碳、无机碳和轻质有机碳的影响

通过田间长期定位试验,分层采集冬小麦-休闲种植体系0—40 cm土层的土样,研究了常规、地表覆膜和覆草栽培对土壤有机碳、无机碳和轻质有机碳的影响。结果表明,覆膜或覆草可以显著增加地上部小麦生物量和子粒产量。不同地表覆盖对0—40 cm土层的无机碳含量和分布无显著影响,但与常规栽培相比,地表覆膜使0—5 cm土层的有机碳含量显著降低,0—40 cm各土层轻质有机碳表现出明显降低趋势,平均降低 C 6.1~74.5 mg/kg;地表覆草却表现出明显增加土壤轻质有机碳的趋势,0—5,5—10,10—20 cm土层的轻质有机碳含量分别增加C 235.2、190.0和144.9 mg/kg,相当于常规的38.7%,32.9%和34.5%。同时,覆草栽培还表现出降低0—10 cm土层轻质有机质含碳量的趋势,并使0—20 cm土层轻质有机碳占有机碳的比例显著高于常规栽培和地表覆膜处理。可见,地表长期覆膜不利于旱地土壤有机碳累积,覆草不仅可以增加表层土壤的轻质有机碳累积,还可改善土壤碳氮组成。     

县域尺度农田深层土壤有机质的估算及空间变异特征

县域是实施农业绿色发展的基本单元,农田土壤中不仅耕层的有机质含量会对土壤肥力产生影响,深层有机质的作用也不可忽略,精确估算基于县域尺度农田深层有机质含量具有重要意义。该研究选定位于山西省运城市的永济市农田为研究区,采用多点混合取样法,获取了8个样地剖面的18层数据,共144个混合土样的有机质含量数据,建立了表层(0～20 cm)有机质含量估算深层有机质含量的模型,并进行深层有机质含量的估算。基于半变异函数、空间自相关理论分析了0～30、30～60、60～90、90～120、120～150和150～180 cm土层有机质含量的空间相关性和聚集特征,并进行了相关性检验,采用克里格插值方法对研究区农田各土层的有机质含量进行了预测。结果表明:1)土壤有机质含量随深度的增加呈负指数递减(R2=0.80,P0.01),各土层的有机质含量变异系数介于35.89%～47.84%之间,处于中等变异程度。2)通过建立的估算模型可以通过表层有机质含量估算出任意深度的有机质含量,且拟合精度R2达到了0.90(P0.01)。3)指数模型是反映该区域有机质含量空间结构特征的最佳模型(R20.80,RSS0.001),各土层的有机质含量均表现出了中等程度结构性特征,和空间正相关性特征(Moran’s I=0.26,P0.01),并存在显著的空间聚集特征和异常值现象。4)克里格插值可以较好地进行研究区各层有机质含量的预测,预测精度较高,稳定性较好,为县域尺度深层有机质的估算,调整农艺措施、提高土壤肥力、达到土壤减肥增效、绿色增产增效提供依据。     

区域土壤有机碳空间分布特征与尺度效应

结合当前土壤属性空间分布特征及其尺度效应研究进展和不足,综合采用变异函数理论、空间自相关理论、多重分形理论等方法从土壤有机碳(soil organic carbon,SOC)空间变异性、相关性和结构性等不同层面深入揭示不同尺度下SOC空间分布特征及其尺度效应。研究结果表明:除了15 km尺度外,基于变异函数分析的其他尺度块基比均小于50%,结构性因素占主导,结构性因素主要包括土壤亚类、土地质地、土地类型等,随机部分带来的空间变异性随着尺度的增加呈现减少趋势;不同尺度下的莫兰指数随着分离距离的增加由完全正值逐渐变小,过渡到正负交替出现的格局,最后完全变为负值,标准化统计量均大于1.96,每个尺度均具有良好的空间结构;不论是瑞利谱图,还是多重分形谱,随着尺度的增加,图谱越来越接近,研究区不同尺度下的SOC在空间上的分布是典型的分维数体;无论何种尺度,基于多重分形克里格法的实测值与预测值特异值空间吻合程度较高,特异值覆盖比率均在85%以上。联合了变异函数、空间自相关、多重分形和多重分形克里格等方法能够从空间变异性、空间相关性、空间结构性等更加深入全面地揭示研究区SOC空间分布特征。研究成果可为相对平坦农业区域土壤有机碳空间分布特征研究提供方法支撑。     

土壤水盐空间异质性及尺度效应的多重分形

为了揭示研究区域林地内土壤含水率和电导率的空间分布特征及尺度效应,利用多重分形方法,对杨凌一林地内不同采样时间和不同采样面积下土壤含水率和电导率的空间异质性进行了研究。结果表明：3种采样面积下土壤含水率和电导率的空间异质性都分别随平均含水率和电导率的增大而减弱。随采样面积的增大,平均含水率和电导率较高时,土壤含水率的空间异质性趋于增强,土壤电导率的尺度效应不明显;平均含水率和电导率较低时,土壤含水率和电导率的空间分布都存在明显的斑块结构。不同采样时间和不同采样面积下土壤含水率和电导率的多重分形谱的形态有所差异,表明引起他们空间异质性的信息有所不同。多重分形分析能揭示出较多的采样林地内土壤含水率和电导率分布的局部信息。     

施肥对土壤有机碳含量及碳库管理指数的影响

在华北夏玉米生产体系中,采用田间试验,研究了不同施肥措施下（不施肥、单施有机肥、推荐施肥、习惯施肥和单施化肥）,土壤有机碳含量、活性有机碳含量和碳库管理指数的变化。结果表明:与不施肥相比,单施有机肥土壤有机碳和活性有机碳含量分别增加 11.68%,21.71%。推荐施肥和习惯施肥土壤有机碳含量分别增加 6.57%,7.58%,活性有机碳含量分别增加 8.53%,4.26%。单施化肥土壤有机碳与活性有机碳含量均没有显著增加;施有机肥和推荐施肥土壤碳库管理指数比不施肥分别高 31.79,13.01。单施化肥土壤碳库管理指数没有显著变化;土壤活性有机碳与总有机碳、碳库管理指数、玉米子粒产量均存在极显著相关关系。碳库管理指数与玉米子粒产量极显著相关,能够指示土壤生产力的变化。可见在当地土壤肥力条件下,施有机肥或有机无机适当配施能提高土壤有机碳含量和土壤碳库管理指数,有利于改善土壤质量,提高土壤肥力。     

土壤水盐空间变异尺度效应的研究

水文学和土壤学中的尺度问题是目前水土科学研究的前沿课题之一。该文利用空间信息科学——地质统计学、根据设计的各种田间网格，在一维和二维(平面)空间中初步研究了黄河河套平原长胜试验区中小尺度的土壤水分和盐分随采样尺度所表现出的空间变异(结构性)的某些规律，表明采样尺度的划分和选取与水分和盐分的空间变异性大小有密切关系，尺度效应的研究对于指导农业技术研究中野外采样系统设计、节省外业调查的工作量及科学地进行内业计算、评估和揭示农业工程中具有地学特征的区域性自然规律有重要作用。     

保护性耕作模式对黑土有机碳含量和密度的影响

以公主岭市长期（10 a）保护性耕作定位试验为研究对象,分析与传统耕作模式相比的几种保护性耕作模式对黑土固碳效应的影响。共设4种耕作模式,即秋翻秋耙匀垄、秋灭茬匀垄、全面旋耕深松和宽窄行交替休闲（又叫松带、苗带交替休闲）（后3种视为保护性耕作）。结果表明,经过10 a的耕作试验,不同的耕作模式对土壤有机碳有显著的影响。表层0～20 cm秋翻秋耙匀垄和秋灭茬匀垄模式的土壤有机碳含量最低,深层30～50 cm全面旋耕深松模式的土壤有机碳质量分数显著低于其他耕作模式13.49%～25.14%;0～50 cm耕层中宽窄行交替休闲的土壤有机碳质量分数高于其他耕作处理0～33.58%。宽窄行交替休闲模式下的宽窄行松带活性有机碳质量分数及缓性有机碳质量分数分别高于其他模式8.06%～48.87%和0～33.83%。全面旋耕深松模式与宽窄行交替休闲模式下的宽窄行苗带土壤有机碳密度分别低于和高于秋翻秋耙10.95%、17.13%;＞20～50 cm宽窄行苗带的活性有机碳密度及缓性有机碳密度分别高于其他耕作模式2.20%～18.85%和17.00%～29.19%,不同耕作模式的土壤惰性有机碳密度没有显著性差异。相对秋翻秋耙的传统模式,不同的保护性耕作模式能够增加土壤有机碳密度也能够降低土壤有机碳密度,宽窄行交替休闲主要通过增加土壤活性有机碳及缓性有机碳密度来增加其土壤有机碳密度,是东北地区固定土壤有机碳、提高土壤有机碳质量的有效耕作方式。     

有机物料碳和土壤有机碳对水稻土甲烷排放的影响

基于30年水稻土长期施肥定位试验,在保证原有定位试验正常开展的前提下,将部分化肥处理变更为有机肥处理(或反之),通过观测一年水稻轮作周期内不同处理甲烷(CH_4)排放通量季节性变化,探讨不同肥力水稻土中外源有机碳及土壤有机碳含量对田间CH_4排放的影响。结果表明:施化肥处理和有机肥处理,水稻土全年CH_4累积排放量范围分别为1.73~4.72和35.09~86.60 g·m~(-2)。有机肥处理改施化肥后,田间土壤CH_4的排放量显著降低;化肥处理改施有机肥或有机肥处理增施有机肥后,田间土壤CH_4的排放量显著提高。外源有机碳的输入量是田间土壤CH_4年排放量的决定性因素,外源有机碳输入量(x)与水稻土CH_4年累积排放量(y)之间满足直线方程:y=0.087 7 x+3.265 7(R~2=0.965 9,n=21)。土壤有机碳同样也是影响稻田CH_4排放的因素,在不同有机碳水平的水稻土上施用等量相同化肥或有机肥,土壤有机碳含量高的水稻土都更有利于CH_4的产生。单施化肥稻田土壤CH_4排放的最主要碳源是土壤有机碳,有机碳含量(x)和水稻土CH_4年累积排放量(y)之间的指数方程:y=0.162 4 e~(0.162 2 x)(R~2=0.940 6,n=9)。有机肥可促进土壤有机碳分解释放CH_4,土壤有机碳含量相同的条件下,高量有机肥比常量有机肥的土壤有机碳分解比率高0.65%,等量相同有机肥但土壤有机碳含量不同的条件下,土壤有机碳分解比率无显著差异;同样,土壤有机碳也可促进有机物料碳分解释放CH_4,在常量有机肥或高量有机肥处理中,土壤有机碳含量高者比低者的有机物料碳分解比率分别多出3.57%和2.34%。     

The soil organic carbon: Clay ratio in North Devon,UK: Implications for marketing soil carbon as an asset class

Building up stocks of agricultural soil organic carbon (SOC) can improve soil conditions as well as contribute to climate change mitigation. As a metric, the ratio of SOC to clay offers a better predictor of soil condition than SOC alone, potentially providing a benchmark for ecosystem service payments. We determined SOC:clay ratios for 50 fields in the North Devon UNESCO World Biosphere Reserve using 30 cm soil cores (divided into 0–10 cm and 10–30 cm depth samples), with soil bulk density, soil moisture and land-use history recorded for each field. All the arable soils exceeded the minimum desirable SOC:clay ratio threshold, and the ley grassland soils generally exceeded it but were inconsistent at 10–30 cm. Land use was the primary factor driving SOC:clay ratios at 0–10 cm, with permanent pasture fields having the highest ratios followed by ley grass and then arable fields. Approximately half of the fields sampled had potential for building up SOC stock at 10–30 cm. However, at this depth, the effect of land use is significantly reduced. Within-field variability in SOC and clay was low (coefficient of variation was ~10%) at both 0–10 cm and 10–30 cm, suggesting that SOC:clay ratios precisely characterized the fields. Due to the high SOC:clay ratios found, we conclude that there is limited opportunity to market additional carbon sequestration as an asset class in the North Devon Biosphere or similar areas. Instead, preserving existing SOC stocks would be a more suitable ecosystem service payment basis.