不同人工恢复林对退化红壤团聚体组成及其有机碳的影响

研究土壤团聚体的组成及其有机碳的分布,有助于从微观角度理解土壤结构与功能的相互作用.采用于筛法和湿筛法,研究南方红壤退化地实施人工恢复30年后,马尾松与阔叶复层林(PB)、木荷+马尾松混交林(SP)和阔叶林(BF)3种典型林分在0～60 cm土层的团聚体组成及其有机碳分布特征,分析土壤团聚体有机碳与总有机碳相关关系.结果表明:各恢复林分土壤机械稳定性团聚体质量分数,以＞2 mm粒径所占比例最大(均在60％以上),而在水稳性团聚体中,以＜0.05 mm粒径占优势.不同林分土壤团聚体结构破坏率顺序依次为BF(53.38％～84.27％) ＞SP(52.22％ ～70.86％) ＞PB(22.70％ ～47.83％).机械稳定性和水稳性团聚体有机碳质量分数均以PB最高,随着土层深度的增加,各林分土壤团聚体有机碳质量分数呈下降趋势.水稳性大团聚体(＞0.25 mm粒径)有机碳质量分数总体高于相应土层的总有机碳质量分数,而微团聚体的(＜0.25 mm粒径)则低于后者,说明有机碳对于大团聚体的形成和水稳性具有积极作用.土壤团聚体有机碳与总有机碳的相关关系分析表明,土壤团聚体有机碳的增加,对总有机碳的积累具有正面影响.保留密度大、灌木(草)层盖度高的马尾松与阔叶复层林土壤团聚体的数量和质量更高;因此,在红壤侵蚀退化地森林恢复初期,可通过适当密植、增加林下灌草覆盖等措施,增加有机碳的输入,促进团聚体的形成和稳定,从而加速了退化土地的土壤结构改善和功能恢复.该研究可为南方严重红壤退化地生态恢复中的林分类型选择和优化配置提供科学依据.     

水氮调控对设施土壤有机氮组分、全氮和矿质氮的影响

为探讨水氮调控对设施土壤有机氮组分、全氮和矿质氮的影响,通过膜下滴灌设施番茄田间定位试验,采用灌水下限(W_1、W_2、W_3)和施氮量(N_1、N_2、N_3)的两因素三水平随机区组设计,研究水氮调控对休耕期0—30cm土层土壤有机氮组分、全氮和矿质氮的影响。结果表明,不同水氮调控下,设施土壤有机氮主要是以酸解态氮为主,总体表现酸解态氮大于非酸解态氮含量。土壤有机氮组分在酸解态氮和非酸解态氮中分配比例差异明显。土壤有机氮各组分含量及占全氮比例的大小顺序为氨基酸氮/氨态氮未知氮氨基糖氮。除氨基糖氮,其余酸解态氮各组分和酸解总氮含量及其占全氮比例均随着土层深度的增加而降低,不同土层含量差异显著(P0.05)。土壤全氮、矿质氮和总有机氮含量随土层深度的增加也呈降低趋势,且含量差异达到极显著水平(P0.01)。除氨基糖氮,全氮与其他有机氮各组分、酸解总氮间均达到极显著正相关(P0.01);矿质氮仅与酸解氨态氮及酸解总氮的影响达到极显著(P0.01)和显著正相关(P0.05)。灌水下限、施氮量及水氮交互对设施土壤全氮、矿质氮和总有机氮及有机氮组分影响均达到极显著水平(P0.01)。因此,设施土壤氮素含量的变化与水氮管理模式紧密相关。氨态氮和氨基酸氮是设施土壤中最主要的有机氮形态,是土壤活性氮中的主要组分,亦是土壤供氮潜力的表征。考虑土壤供氮潜力,灌水下限35kPa、施氮量300kg/hm~2为该设施生产下最优的水氮管理措施。     

长期施肥对黄壤性水稻土有机碳矿化的影响

以贵州省农业科学院内黄壤性水稻土长期(22年)定位施肥试验为对象,采用室内模拟培养试验研究了不施肥(对照,CK)、施化肥(NPK)、低量有机无机肥配施(0.5MNPK)、施牛粪(M)和常量有机无机肥配施(MNPK)对土壤有机碳矿化的影响。结果表明:NPK处理土壤有机碳含量(21.6 g kg~(-1))与CK处理(22.8 g kg~(-1))基本相同,而0.5MNPK、M和MNPK处理的土壤有机碳含量较CK处理分别提高了30.6%、72.9%和62.2%,其中,M和MNPK处理差异达显著水平(p0.05)。模拟培养条件下,CO2产生速率在培养的第2天达到最大值,然后迅速下降,而后缓慢下降(第4~24天),后期(第24~30天)趋于稳定;各处理土壤有机碳矿化速率大小依次为:MMNPK0.5MNPKCKNPK,各处理土壤有机碳矿化速率随时间的动态变化均符合对数函数关系(p0.01)。培养结束(30 d)时,各处理土壤有机碳累积矿化量为1.23~2.37 g kg~(-1),以M处理和MNPK处理较高,较CK处理(1.46 g kg~(-1))分别增加了62.6%和44.2%(p0.05);各施肥处理土壤有机碳的累积矿化率(土壤有机碳累积矿化量/土壤有机碳含量)较CK处理(6.4%)均有所下降,以M处理和MNPK处理下降较多,降幅分别为1.2%和0.9%。土壤有机碳累积矿化量随培养天数的动态变化可以用一级动力学方程拟合(p0.01),模拟结果表明,CK处理土壤潜在可矿化有机碳量为1.55 g kg~(-1),与CK处理相比,NPK处理下降了11.6%,但差异不显著(p0.05),而有机肥处理(0.5MNPK、M和MNPK)有不同程度的提高(21.3%~73.6%),其中,M和MNPK处理提高幅度较大(p0.05);同时,MNPK处理能够提高土壤有机碳的周转速率,减少周转时间。上述结果指示黄壤性水稻土长期施用有机肥(0.5MNPK、M和MNPK)能够提高土壤有机碳的矿化速率,在促进土壤有机碳积累的同时降低其累积矿化率(单位有机碳矿化水平),增强土壤固碳能力。     

基于IPCC排放因子法估算碳足迹的京津冀生态补偿量化

构建合理的生态补偿量化标准关系着京津冀区域的健康发展。采用IPCC排放因子法计算京津冀地区2006-2015年的碳足迹,结果表明:10 a间京津冀地区碳足迹变化趋势分为2个阶段,2006到2013呈现快速增长趋势,年增长率约为8.5%,2013年之后基本保持不变;考虑森林、草地、农用地的固碳能力的前提下,测算了京津冀地区2006-2015年的碳承载力,结果表明:2009年京津冀地区的碳承载力有明显增高,之后基本保持平稳,略有提升;为了对比不同区域内(人口和区域面积)碳赤字对生态的影响,提出了碳赤字敏感度,进而利用碳赤字敏感度构建了生态补偿因子的概念,并据此确定京津冀三区生态补偿的量化标准,结果表明:河北和北京每年都应得到天津支付的一定额度的生态补偿,其中河北2012年应获得补偿最多(161亿元),北京2013年最多(61.5亿元)。研究结果对加快建立完善的京津冀横向生态补偿机制有参考意义。     

大兴安岭天然林不同林分溶解有机碳变化特征

为确定不同林分和季节变化对森林碳库影响。在内蒙古大兴安岭根河林业局境内选取具有代表性的林分,即白桦林、白桦落叶松混交林以及落叶松林为研究对象。收集并测定了树干径流、有机质层和0-30 cm土层中DOC浓度,并分析了DOC变化特征以及不同月份对DOC的影响。结果表明:不同林分中树干径流中DOC平均浓度分别为60.12,172.77,205.02 mg/L;有机质层中DOC平均浓度分别为35.32,39.64,34.45 mg/L;0-30 cm土层中DOC平均浓度分别为26.23,37.08,26.53 mg/L。结果表明:不同林分中DOC浓度表现为树干径流 > 有机质层 > 0-30 cm土层,落叶松林树干径流DOC浓度明显高于白桦林（p<0.05）,且落叶松树干比白桦树干淋溶DOC强;不同林分中有机质层和0-30 cm土层表现为白桦落叶松混交林>白桦林、落叶松林,但无明显的差异（p>0.05）,而且有机质层和土层对DOC有吸附固定作用;不同林分6-9月份树干径流中DOC浓度呈现先升高后降低的趋势,7月份达到最大,机质层和0-30 cm土层中DOC浓度6月份最高,7月、8月最低,而9月份又升高。不同林分和月份的变化,影响了天然林中DOC浓度分布。     

Near-Infrared Spectroscopy Coupled with Chemometrics Tools: A Rapid and Non-Destructive Alternative on Soil Evaluation

Near-infrared (NIR) spectroscopy is a rapid, non-destructive and accurate technique for analyzing a wide variety of samples, thus, the growing interest of using this technique in soil science. The objective of this study was to evaluate the potential of NIR spectroscopy to predict organic carbon (OC), total nitrogen (TN), available phosphorus (P) and available potassium (K) in the soil. NIR spectra from 20 cm³ of soil samples were acquired on the range of 750 to 2500 nm in diffuse reflectance mode, resolution of 16 cm^?1 and 64 scans. Eight models of calibration/validation were constructed. Calibration and validation models showed that the predictive potential of NIR varied with the specific soil property (OC, TN, P and K) under evaluation and according to the methodology employed in the model construction (cross-validation or test set). Good prediction models were obtained for OC and TN content based on the statistical parameters. Test set methodology was able to predict soil OC, TN, P, and K better than cross-validation methodology.     

Comparison of multivariate models and variable selection algorithms for rapid analysis of the chemical composition of field crops

This study evaluates the use of visible and near-infrared spectroscopy for rapid prediction of total carbon, total nitrogen, and total phosphorus concentrations in field crop samples. Two multivariate models (partial least squares regression and support vector machine regression) were compared. In addition, four spectral variable selection algorithms (competitive adaptive reweighted sampling, genetic algorithm, uninformative variable elimination, and variable importance for projection) were applied with support vector machine regression to determine the most accurate predictions. The results showed that support vector machine regression performed better than partial least squares regression for predicting the three chemical compositions. The combination of competitive adaptive reweighted sampling and support vector machine regression outperformed the other models for the predictions of total carbon and total nitrogen with high coefficients of determination of 0.91 and 0.90, respectively. For the determination of total phosphorus, the prediction accuracy of competitive adaptive reweighted sampling was comparable with the best result obtained from genetic algorithm with the coefficients of determination of 0.73 and 0.77, respectively. In conclusion, the support vector machine regression combined with competitive adaptive reweighted sampling has great potential to accurately determine the chemical composition of field crops using the visible and near-infrared spectroscopy.     

Effects of part and whole straw returning on soil carbon sequestration in C3–C4 rotation cropland

Long‐term no‐tillage management and crop residue amendments to soil were identified as an effective measure to increase soil organic carbon (SOC). The SOC content, SOC stock (SOCs), soil carbon sequestration rate (CSR), and carbon pool management index (CPMI) were measured. A stable isotopic approach was used to evaluate the contributions of wheat and maize residues to SOC at a long‐term experimental site. We hypothesized that under no‐tillage conditions, straw retention quantity would affect soil carbon sequestration differently in surface and deep soil, and the contribution of C3 and C4 crops to soil carbon sequestration would be different. This study involved four maize straw returning treatments, which included no maize straw returning (NT‐0), 0.5 m (from the soil surface) maize straw returning (NT‐0.5), 1 m maize straw returning (NT‐1), and whole maize straw returning (NT‐W). The results showed that in the 0–20 cm soil layer, the SOC content, SOCs, CSR and CPMI of the NT‐W were highest after 14 years of no‐tillage management, and there were obvious differences among the four treatments. However, the SOC, SOCs, and CSR of the NT‐0.5 and NT‐W were the highest and lowest in 20–100 cm, respectively. The value of δ¹³C showed an obviously vertical variability that ranged from –22.01‰ (NT‐1) in the 0–20 cm layer to –18.27‰ (NT‐0.5) in the 60–80 cm layer, with enriched δ¹³C in the 60–80 cm (NT‐0.5 and NT‐1) and 80–100 cm (NT‐0 and NT‐W) layers. The contributions of the wheat and maize‐derived SOC of the NT‐0.5, NT‐1 and NT‐W increased by 11.4, 29.5 and 56.3% and by 10.7, 15.1 and 40.1%, relative to those in the NT‐0 treatment in the 0–20 cm soil layer, respectively. In conclusion, there was no apparent difference in total SOC sequestration between the NT‐0.5, NT‐1, and NT‐W treatments in the 0–100 cm soil layer. The contribution of wheat‐derived SOC was higher than that of maize‐derived SOC.     

Changes in sorghum production,soil P forms and P use efficiency following long-term application of manure,compost and straw in a Ferric Lixisol

Low phosphorus availability in cultivated soils limits sustainable crop production in sub‐Saharan Africa. This study aimed at evaluating the effect of long‐term application of different types of organic amendments on soil P forms, P use efficiency and sorghum yields. A long term experiment established in 1980 at Saria in Burkina Faso, comparing the effects of manure, compost and sorghum straw was used. Manure and compost significantly increased organic P and resin‐P by about 35% and 64%, respectively after 10 and 32 years of sorghum cultivation, and HCl‐P after 32 years of cultivation compared to the control. Manure significantly increased NaHCO₃-Pi and NaOH-Pi by 63% and 26%, respectively compared to the control. Sorghum straw had little effect on measured soil P forms. Manure and compost were the best in increasing sorghum grain yield, which effect were strongly correlated to soil pH, carbon and nitrogen. The partial factors productivities of P resulting from the application of studied organic amendments were similar and low, but significantly higher than that of the control treatment. Organic amendments with high P content, maintaining soil carbon and pH could be used to improve soil P availability, sorghum yield and reduce the demand for mineral phosphorus fertilizers.     

不同林龄杉木人工林土壤团聚体及其有机碳变化特征

土壤团聚体作为土壤结构性状的重要指标,对土壤孔隙、持水、保水等状况都有重要影响;土壤团聚体有机碳除了反映土壤固碳状况外,还与团聚体的稳定性能密切相关,研究森林土壤团聚体及其有机碳状况,旨在为合理利用土壤、提高人工林水源涵养功能提供依据。为此,以福建省洋口国有林场不同林龄杉木人工林(幼龄林、中龄林、成熟林)土壤为研究对象,通过野外调查、采样和室内分析,研究不同林龄杉木人工林土壤团聚体及其有机碳变化特征。结果表明:不同林龄杉木人工林对土壤团聚体及其有机碳具有重要影响,成熟林土壤大团聚体含量、团聚体平均重量直径(MWD)、团聚体有机碳含量及贡献率均分别大于幼龄林、中龄林;不同林龄的土壤水稳性团聚体均以大团聚体(粒径0.25 mm)为主,占59.57%～80.97%,粒径0.053 mm的仅占0.80%;土壤团聚体有机碳贡献率也以大团聚为主,其中以2～0.25 mm粒级贡献率最高,达58.43%;另外,土壤有机碳含量与团聚体MWD呈显著正相关,且具有明显的垂直变化特征,即随土层加深而下降。因此,土壤有机碳对团聚体稳定性具有积极作用,不同林龄土壤团聚体稳定性及有机碳变化规律为成熟林幼龄林中龄林。