基于REE示踪的土壤团聚体破碎转化路径定量表征

土壤团聚体破碎转化路径是坡面侵蚀过程研究的难点问题之一。目前团聚体破碎转化路径的定量表征仍不明晰,一定程度上限制了土壤侵蚀过程中泥沙分选搬运机制的深入研究。基于大样带调查选取6种不同质地的典型农耕地土壤为研究对象,结合稀土元素(Rare Earth Elements,REE)示踪方法,综合分析不同粒径土壤团聚体(5~2,2~1,1~0.5,0.5~0.25,<0.25 mm)和不同径流扰动周期(24 h,7天)对REE吸附和解吸能力的影响,探究REE示踪不同粒径土壤团聚体破碎转化的可行性,定量表征了土壤团聚体破碎转化路径。结果表明:REE与土壤团聚体的实际吸附浓度低于施放浓度,2~1,1~0.5,0.5~0.25,<0.25 mm土壤团聚体的REE吸附浓度与黏粒含量呈显著正相关(P<0.05);径流扰动影响对吸附于土壤团聚体的REE解吸作用十分微弱,解吸浓度仅占REE实际吸附浓度的0.001%~0.139%。5~2,2~1,1~0.5,05~0.25,<0.25 mm土壤团聚体经过湿筛后向各粒径转化的路径基本相同,向<0.25 mm微团聚体转化为土壤团聚体破碎的主要路径。相较于粉粒、黏粒含量较高的土壤团聚体,砂粒含量较高的土壤团聚体向1~0.5,0.5~0.25 mm粒径的转化贡献率整体偏低。基于REE示踪得到的>0.25 mm各粒径团聚体质量整体被低估,低估范围为-27.96%^-11.08%;而<0.25 mm团聚体质量则被高估,高估范围为3.65%~22.73%。基于各粒径土壤团聚体的REE量化值建立了校正关系,可将计算相对误差降低至0.04%~16.24%。     

野猪粪便中乳酸菌的分离鉴定及特性研究

【目的】筛选安全的、具有优良特性的乳酸菌菌株,进一步研发益生制剂,为饲料添加剂等动物相关产品提供资源。【方法】从我国黑龙江省大兴安岭地区采集野猪粪便样品13份,编号后置于4℃保温箱迅速运回实验室,利用MRS培养基分离纯化乳酸菌。使用细菌基因组DNA提取试剂盒提取分离菌株的基因组DNA,利用细菌16S rDNA通用引物进行PCR鉴定,将扩增得到的序列测序后在NCBI上使用BLAST与GenBank数据库中序列进行对比分析,确定各菌株的分类学地位。将鉴定后的乳酸菌菌株分别接种于酸性（pH 3.0）和含胆盐（0.3%）的MRS培养基,在不同条件下评价乳酸菌菌株的耐酸、耐胆盐特性。将过夜培养的乳酸菌于室温条件下静置,在不同时间测定其OD_600nm,进行自凝集能力评价;过夜培养的菌株分别与致病性埃希氏大肠杆菌、金黄色葡萄球菌和鼠伤寒沙门氏菌3种致病菌混合后于室温静置,进行共凝集能力检测。在体外,分别进行乳酸菌菌株对Caco-2细胞和IPEC-J2细胞的黏附能力测定,评价不同菌株的黏附能力。通过测定乳酸菌菌株对致病性埃希氏大肠杆菌、金黄色葡萄球菌和鼠伤寒沙门氏菌3种致病菌的抑菌环直径,评价分离菌株的抑菌活性。通过体内外试验评价乳酸菌菌株的安全性。在体外,分别以模式菌株嗜酸乳杆菌和金黄色葡萄球菌作为阴性对照和阳性对照,将3株乳酸菌菌株和对照菌株在血平板上划线,37℃厌氧孵育18—24 h,观察细菌菌落周围是否形成溶菌环,评价分离菌株的溶血特性。使用文献中已报道的毒力因子引物对分离的乳酸菌菌株进行PCR扩增,检测是否存在毒力因子的编码基因,评估分离菌株的安全性。在体内,将过夜培养的乳酸菌连续饲喂7周龄的BALB/c小鼠21 d,分别测定小鼠的初始体重和最终体重,观察计算体重变化情况;饲喂21 d后,解剖获取小鼠的脾脏、肝脏和肾脏计算器官指数,评价分离乳酸菌菌株的体内安全性。【结果】从野猪粪便中分离得到3株对酸和胆盐具备一定耐受力的乳酸菌,经鉴定分别为蒙氏肠球菌（Enterococcus mundtii）、耐久肠球菌（Enterococcus durans）和黏膜乳杆菌（Lactobacillus mucosae）。3株乳酸菌菌株均表现出较强的自凝集能力和对致病菌的共凝集能力,同时对Caco-2细胞和IPEC-J2细胞均表现出较强的黏附能力,抑菌试验结果显示黏膜乳杆菌对3种致病菌均具备较强的抑菌活性。经体内外安全性评价,3株乳酸菌菌株无溶血性,且均未检测到毒力基因,经其连续饲喂的小鼠行为表现正常、状态良好,其中,与对照组相比,黏膜乳杆菌饲喂后小鼠增重显著。【结论】从大兴安岭野猪粪便中分离的3株乳酸菌（特别是黏膜乳杆菌）具有良好的特性和安全性,具备进一步开发益生菌制剂的潜力。     

桃蚜在辣椒上的空间分布及抽样技术研究

桃蚜作为世界范围内农作物主要害虫,在我国主要蔬菜种植区均有发生。因其繁殖能力强以及对蔬菜尤其是辣椒质量造成危害而成为重要防治对象。为了明确四川省成都主要辣椒种植区桃蚜空间分布格局,本试验运用2种回归方法和8个聚集度指标(K, C, CA, I, M*, m*/m, L*, L*/(1+m))对桃蚜盛发期种群的空间格局进行了研究；同时,通过Iwao回归法和Taylor幂法计算桃蚜种群理论抽样数,Iwao和kuno序贯抽样技术拟合桃蚜的序贯抽样模型。结果表明桃蚜种群呈聚集分布,聚集强度随种群密度的升高而增加,且个体间相互吸引,其聚集原因是由桃蚜习性与环境因素共同引起的,但8月下旬开始聚集原因主要有环境因素决定；通过种群密度与聚集度指标相关性分析表明,用平均拥挤度(m*/m)、负二项分布指标(K),久野指数(CA)及L*/(m+1)分析桃蚜空间分布型更具说服力；并利用空间格局参数确定了理论抽样数和序贯抽样模型。     

Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands

For spatial crop and agro-systems modelling, there is often a discrepancy between the scale of measured driving data and the target resolution. Spatial data aggregation is often necessary, which can introduce additional uncertainty into the simulation results. Previous studies have shown that climate data aggregation has little effect on simulation of phenological stages, but effects on net primary production (NPP) might still be expected through changing the length of the growing season and the period of grain filling. This study investigates the impact of spatial climate data aggregation on NPP simulation results, applying eleven different models for the same study region (∼34,000 km²), situated in Western Germany. To isolate effects of climate, soil data and management were assumed to be constant over the entire study area and over the entire study period of 29 years. Two crops, winter wheat and silage maize, were tested as monocultures. Compared to the impact of climate data aggregation on yield, the effect on NPP is in a similar range, but is slightly lower, with only small impacts on averages over the entire simulation period and study region. Maximum differences between the five scales in the range of 1–100 km grid cells show changes of 0.4–7.8% and 0.0–4.8% for wheat and maize, respectively, whereas the simulated potential NPP averages of the models show a wide range (1.9–4.2 g C m⁻² d⁻¹ and 2.7–6.1 g C m⁻² d⁻¹ for wheat and maize, respectively). The impact of the spatial aggregation was also tested for shorter time periods, to see if impacts over shorter periods attenuate over longer periods. The results show larger impacts for single years (up to 9.4% for wheat and up to 13.6% for maize). An analysis of extreme weather conditions shows an aggregation effect in vulnerability up to 12.8% and 15.5% between the different resolutions for wheat and maize, respectively. Simulations of NPP averages over larger areas (e.g. regional scale) and longer time periods (several years) are relatively insensitive to climate data aggregation. However, the scale of climate data is more relevant for impacts on annual averages of NPP or if the period is strongly affected or dominated by drought stress. There should be an awareness of the greater uncertainty for the NPP values in these situations if data are not available at high resolution. On the other hand, the results suggest that there is no need to simulate at high resolution for long term regional NPP averages based on the simplified assumptions (soil and management constant in time and space) used in this study.     

Specific ion effect of H+ on variably charged soil colloid aggregation

Specific ion effects (Hofmeister effects) have recently attracted the attention of soil scientists, and it has been found that ionic non-classic polarization plays an important role in the specific ion effect in soil. However, this explanation cannot be applied to H⁺. The aim of this work was to characterize the specific ion effect of H⁺ on variably charged soil (yellow soil) colloid aggregation. The total average aggregation (TAA) rate, critical coagulation concentration (CCC), activation energy, and zeta potential were used to characterize and compare the specific ion effects of H⁺, K⁺, and Na⁺. Results showed that strong specific ion effects of H⁺, K⁺, and Na⁺ existed in variably charged soil colloid aggregation. The TAA rate, CCC, and activation energy were sensitive to H⁺, and the addition of a small amount of H⁺ changed the TAA rate, CCC, and activation energy markedly. The zeta potential results indicated that the specific ion effects of H⁺, K⁺, and Na⁺ on soil colloid aggregation were caused by the specific ion effects of H⁺, K⁺, and Na⁺ on the soil electric field strength. In addition, the origin of the specific ion effect for H⁺ was its chemical adsorption onto surfaces, while those for alkali cations were non-classic polarization. This study indicated that H⁺, which occurs naturally in variably charged soils, will dominate variably charged soil colloid aggregation.     

2018年夏季南奥克尼群岛南极磷虾集群特征

基于2018年夏季南奥克尼群岛南极磷虾资源声学调查数据，本研究对该海域南极磷虾集群进行了分析。结果显示，检测到南极磷虾集群3 224个，反映集群特征的5个参数即深度、长度、厚度、面积及密度分别为(96.00±64.33) m、(218.52±455.66) m、(11.19±13.98) m、(1 894.40±9 345.72) m²和(114.11±159.60) 尾/m³；不同时间段之间集群密度无显著性差异，但集群深度、长度、厚度及面积之间均存在显著性差异。不同水层间集群厚度和面积之间无显著性差异，但集群深度，长度和密度均存在显著性差异。南极磷虾集群共分为三类，其中第Ⅰ类集群密度最大，为(325.90±221.30) 尾/m³；集群规模最小，为(379.64±433.73) m²；深度最深，为(158.06±67.54) m。第Ⅱ类集群的长度最长，为(1 089.60±1 189.56) m；集群面积为(15 601.25±30 243.33) m²，远大于其他集群。第Ⅲ类集群深度最浅，为(78.91±52.88) m；密度最小，为(48.87±50.33) 尾/m³，但数量最多。