巢湖藻–草–泥堆制有机肥对土壤性质的影响

通过田间试验,研究施用由巢湖取出物蓝藻、水草和底泥高温堆肥制作成的有机肥对作物产量、土壤理化性质及微生物学特性的影响。结果表明:施用藻-草-泥有机肥对大豆、花生有明显增产效应。施肥土壤中总氮、碱解氮、总磷、有效磷、有机质、腐殖酸、阳离子交换量和土壤孔隙度均显著高于未施肥土壤,而容重显著降低。与未种植未施肥处理(T1)相比,种植大豆施肥(T4)和种植花生施肥处理(T5)中微生物生物量碳分别增加116.5%、97.8%,微生物生物量氮增加196.7%、170.6%;T4处理的转化酶、脲酶和过氧化氢酶活性分别提高183%、392%和8.9%,T5处理中相应酶活性分别提高116%、268%、1.01%。相关性分析表明,微生物生物量碳、氮和转化酶、脲酶活性都与多种肥力因子呈显著相关,且转化酶及脲酶活性间存在显著相关性。T4处理中过氧化氢酶活性与肥力因子间无显著相关性,而T5处理过氧化氢酶活性与有效磷、有机质、腐殖酸、微生物生物量碳、微生物生物量氮间呈显著相关。巢湖取出物蓝藻、水草和底泥可作为生产有机肥的良好材料以达到资源化利用目的。     

西藏典型草地地上生物量季节变化特征

采用高寒草甸、高寒草原、高寒沼泽化草甸和温性草原4种西藏高原典型草地类型地上生物量定点观测数据,分析其地上生物量季节动态变化特征和生长规律。结果表明,高寒沼泽化草甸地上生物量最高,其中围网草地年均地上生物量达384.45 g·m-2,比无围网草地地上生物量高73%,且是温性草原类草地生物量的6倍,是高寒草甸和高寒草原类草地的12~14倍,与自由放牧相比,围栏禁牧措施可以明显提高草原地上生物量,是改良退化草地最有效的措施之一;温性草原草地生产力大于高寒草甸和高寒草原,城市附近山地草地生物量明显大于远离城市的地区,表明城市化进程降低了天然草地放牧强度,是恢复退化草地生产力的有效途径之一;属半干旱气候类型的西藏高原中部,降水是制约草地植被生长的主要因子;草地地上生物量的绝对增长速率和相对增长速率季节动态均在生物量达到高峰期前为正增长,之后为负增长。区域水热条件差异及其季节性变化导致了不同草地类型或同一类型不同区域的草地最快生长期出现的时间存在一定差别。     

地下水埋深与施氮水平对夏玉米生长及硝态氮量的影响

[目的]探讨华北地区夏玉米-冬小麦轮作体系下氮肥减施与地下水埋深的交互作用.[方法]借助大型地中渗透仪和Logistic作物生长模型,采用二因素完全随机区组设计:地下水埋深(G1:2.0m、G2:3.0m、G3:4.0m),施氮量(N1:减氮20％、N2:常规施氮),以及不施氮不控水作为对照(WN),研究了华北地区地下...     

不同种植年限桃树根区土壤肥力变异特征

果树根际土壤肥力是果树生长的基础,本研究通过对种植年限为5、10、15、20年桃树根区土壤理化和生物学性状变化进行分析,以期揭示不同种植年限桃园根际土壤肥力的变异特征,探明影响桃树产量和品质主要土壤肥力因子,为不同种植年限桃树生产管理提供理论依据.结果 表明:随着种植年限的增加,土壤粘粒、粉粒含量增加,但土壤质地未改变...     

贡嘎山冷杉纯林地被物及土壤持水特性

为了研究贡嘎山冷杉(Abies fabri)纯林林下地被物及林地土壤在水土保持、水源涵养方面的作用,该文通过对贡嘎山4种林龄的冷杉纯林(幼龄林、中龄林、成熟林和过熟林)林下地被物持水特性及林地土壤物理实验,得到不同林龄林下地被物最大持水量、吸水速度等水文特征参数及林地土壤总孔隙度、毛管孔隙度等物理特性参数.结果表明,成熟林林下苔藓层持水量最大,为其风干重的343.5%,过熟林林下的为284.5%,中龄林林下的为282.5%,幼龄林林下的为250%.成熟林林下枯落物最大持水量为其风干重的301.8%,过熟林林下的为226.4%,中龄林林下的为209.4%,幼龄林林下的为205.4%.经分析拟合,得到林下苔藓层、林下枯落物吸水速度与浸泡时间之间关系式S=ktn.贡嘎山冷杉纯林林地土壤容重为0.851～1.136 g/cm3,土壤饱和含水量为55.29%～83.96%,毛管持水量为44.48%～75.41%,田间持水量为39.50%～65.86%.     

Near-infrared spectroscopy for analysis of chemical and microbiological properties of forest soil organic horizons in a heavy-metal-polluted area

In industrial areas, heavy metals may accumulate in forest soil organic horizons, affecting soil microorganisms and causing changes in the chemical composition of the accumulated organic matter. The objectives of this study were to test the ability of near-infrared spectroscopy (NIRS) to detect heavy metal effects on the chemical composition of forest soil O horizons and to test whether NIRS may be used to quantitatively determine total and exchangeable concentrations of Zn and Pb (Zn_t, Pb_t, Zn_ex, Pb_ex) and other chemical and microbial properties in forest soil O horizons polluted with heavy metals. The samples of O horizons (n = 79) were analyzed for organic C (C_org), total N and S (N_t, S_t), Zn_t, Pb_t, Zn_ex, Pb_ex, basal respiration (BR), microbial biomass (C_mic) and C_mic-to-C_org ratio. Spectra of the samples were recorded in the Vis-NIR range (400–2,500 nm). To detect heavy-metal-induced changes in the chemical composition of O horizons principal components (PC1–PC7) based on the spectral data were regressed against Zn_t + Pb_t values. A modified partial least squares method was used to develop calibration models for prediction of various chemical and microbial properties of the samples from their spectra. Regression analysis revealed a significant relationship between PC3 and PC5 (r = −0.27 and −0.34, respectively) and Zn_t + Pb_t values, indicating an effect of heavy metal pollution on the spectral properties of the O horizons and thus on their chemical composition. For quantitative estimations, the best calibration model was obtained for C_org-to-N_t ratio (r = 0.98). The models for C_org, N_t, and microbial properties were satisfactory but less accurate. NIRS failed to accurately predict S_t, C_org-to-S_t, Zn_t, Pb_t, Zn_ex, and Pb_ex.     

青海省森林林下草本层化学计量特征及其碳储量

为阐明青海省森林生态系统林下草本层化学计量特征和碳密度分布格局,基于2011年青海森林资源野外样方调查和室内分析,评估了青海省7个优势种(白桦、白杨、红桦、青杄、山杨、圆柏、云杉)林下草本层的化学计量特征(C、N、P;C∶N、C∶P、N∶P)以及碳密度的差异。同时,估算了青海省7个优势种林下草本层碳储量大小。结果表明,草本层地上碳含量圆柏林[(419.9±1.44) g·kg^-1]显著高于其他林型,但是地下碳含量[(364.6±8.33) g·kg^-1]显著低于其他林型;氮含量均表现出圆柏和云杉林显著高于其他林型;磷含量在不同林型间差异不显著。圆柏林和云杉林林下草本层C∶N、C∶P显著低于其他林型,而N∶P显著高于其他林型。此外,林下草本层地上和地下生物量、碳密度均表现出圆柏林显著高于其他林型。根据青海省7种优势树种化学计量特征与碳密度的相关性分析,发现草本层碳密度与其化学计量特征有相关性,可以根据碳含量推算碳密度。将海拔作为环境因子考虑,发现圆柏和云杉林下草本层碳密度分布于较高海拔,其他树种则分布于较低海拔。因此,理解养分元素在草本层“地上-地下部分”之间的生态化学计量特征,以及估算草本层的碳储量,对于揭示青海省森林生态系统的养分状况和生物化学循环过程极为重要。     

高州油茶人工林碳储量分布特征

【目的】探明高州油茶Camellia gauchowensi人工林碳储量及分布特征,并估算评价其固碳效应。【方法】根据样地植株径级分布特征,选取不同径级样株各2～3株,取树叶、树干、树枝、树根、果实、花芽各器官测定生物量和碳含量,并建立各器官生物量模型;在标准地内按"S"形选取8个样点,沿土壤剖面分层采集0～20、20～40、40～60和60～100 cm土层的土壤样品,测定土壤容重与碳含量,计算碳储量。【结果】高州油茶中龄林植株各器官生物量分配比例依次为树干树根树叶树枝果实花芽,各器官生物量均随地径的增大而增大。试验林分总生物量为26.902 t·hm~(-2),树体平均碳质量分数为483.45 g·kg-1。同径级各器官的碳含量不同,其中,果实平均碳含量最高。林地100 cm深土层中,土壤碳含量随着土层深度的增加呈明显递减规律,其中,0～20 cm土层碳含量最高,碳质量分数为26.550 g·kg-1。高州油茶林地总碳储量为144.538 t·hm~(-2),其中,树体碳储量为12.857 t·hm~(-2),占总碳储量的8.90%;林地土壤碳储量为131.681 t·hm~(-2),占总碳储量的91.10%。根据中国生物多样性国情报告编写组数据,碳价格为260.90元·t-1,则本试验高州油茶林的碳汇经济效益约为3.8万元·hm~(-2)。【结论】高州油茶林分碳储量高于广东省经济林平均碳储量,林地土壤碳储量高于广东省平均土壤碳储量,林分总碳储量高于珠三角森林生态系统碳储量,具有较高的生态效益。高州油茶不仅有较好的生产效益,而且具有十分广阔的固碳前景。     

Growth survey of crisphead lettuce (Lactuca sativa L.) in fertilizer trial by low-altitude small-balloon sensing

Abstract

Both efficiency and precision of field-grown plant biomass survey are expected to be improved when aerial images of whole fields are acquired. Many such studies have been conducted in paddy rice (Oryza sativa L.), wheat (Triticum aestivum), and beans (Glycine max (L.) Merr. and Phasaeolus vulgaris), but few in vegetables. In this study, we examined whether or not aerial image analysis is useful for the biomass survey of vegetables. Aerial images of field-grown crisphead lettuce (Lactuca sativa L.) in a three-year fertilizer trial were acquired at head formation and harvesting stages in summer and autumn cropping with a compact digital camera hung under a tethered small balloon (2.2 m in length, 0.56 m³ in volume). The camera height ranged from 36 to 65 m, and the ground resolution ranged from 1.3 to 2.2 cm pixel ^?1. The horizontally projected area of the plant was measured as follows: Aerial images of the field were topographically corrected, the lettuce part was extracted based on the difference in color, the images were binarized, and the projected area was determined by image processing software. The estimation of fresh weight of one plant from the projected area was difficult because of the large data dispersion. When the averaged projected area in each plot was used, estimation was improved in some cases. Estimation of fresh weight at the harvesting stage by using the projected area at the head formation stage was difficult due to the low correlation coefficient. The results of factor analysis of fertilizer treatments by using projected area agreed well with those done using fresh weight when the correlation coefficient between the projected area and the fresh weight was high. It was concluded that the estimation of absolute lettuce fresh weight was difficult, but relative comparisons among treatments were possible until the head formation stage, using aerial images acquired by low-altitude small-balloon sensing.