Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology

Mapping urban vegetation is a prerequisite to accurately understanding landscape patterns and ecological services provided by urban vegetation. However, the uncertainties in fine-scale vegetation biodiversity mapping still exist in capturing vegetation functional types efficiently at fine scale. To facilitate the application of fine-scale vegetation spatial configuration used for urban landscape planning and ecosystem service valuation, we present an approach integrating object-based classification with vegetation phenology for fine-scale vegetation functional type mapping in compact city of Beijing, China. The phenological information derived from two WorldView-2 imagery scenes, acquired on 14 September 2012 and 26 November 2012, was used to aid in the classification of tree functional types and grass. Then we further compared the approach to that of using only one WorldView imagery. We found WorldView-2 imagery can be successfully applied to map functional types of urban vegetation with its high spatial resolution and relatively high spectral resolution. The application of the vegetation phenology into classification greatly improved the overall accuracy of classification from 82.3% to 91.1%. In particular, the accuracies of vegetation types was improved by from 10% to 13.26%. The approach integrating vegetation phenology with high-resolution remote sensed images provides an efficient tool to incorporate multi-temporal data into fine-scale urban classification.     

高致病性猪蓝耳病毒及猪圆环病毒2型混合感染的诊断

[目的]对湖北省某猪场发生的以体温升高、部分病猪死亡等为主要特征的疾病进行诊断。[方法]采集发病猪的脾脏、淋巴结等样品,应用PCR方法进行实验室检测。[结果]经实验室检验,结合临床症状,诊断为HP．PRRSV及PCV2混合感染。高致病性猪蓝耳病毒阳性率为40％,猪圆环病毒2型阳性率为90％。[结论]通过采取综合防控措施,病情得到有效控制,减少了猪场的经济损失。     

Carbon stocks, soil respiration and microbial biomass in fire-prone tropical grassland, woodland and forest ecosystems

A thorough understanding of the role of microbes in C cycling in relation to fire is important for estimation of C emissions and for development of guidelines for sustainable management of dry ecosystems. We investigated the seasonal changes and spatial distribution of soil total, dissolved organic C (DOC) and microbial biomass C during 18 months, quantified the soil CO₂ emission in the beginning of the rainy season, and related these variables to the fire frequency in important dry vegetation types grassland, woodland and dry forest in Ethiopia. The soil C isotope ratios (δ¹³C) reflected the 15-fold decrease in the grass biomass along the vegetation gradient and the 12-fold increase in woody biomass in the opposite direction. Changes in δ¹³C down the soil profiles also suggested that in two of the grass-dominated sites woody plants were more frequent in the past. The soil C stock ranged from being 2.5 (dry forest) to 48 times (grassland) higher than the C stock in the aboveground plant biomass. The influence of fire in frequently burnt wooded grassland was evident as an unchanged or increasing total C content down the soil profile. DOC and microbial biomass measured with the fumigation-extraction method (C_mic) reflected the vertical distribution of soil organic matter (SOM). However, although SOM was stable throughout the year, seasonal fluctuations in C_mic and substrate-induced respiration (SIR) were large. In woodland and woodland-wooded grassland C_mic and SIR increased in the dry season, and gradually decreased during the following rainy season, confirming previous suggestions that microbes may play an important role in nutrient retention in the dry season. However, in dry forest and two wooded grasslands C_mic and SIR was stable throughout the rainy season, or even increased in this period, which could lead to enhanced competition with plants for nutrients. Both the range and the seasonal changes in soil microbial biomass C in dry tropical ecosystems may be wider than previously assumed. Neither SIR nor C_mic were good predictors of in situ soil respiration. The soil respiration was relatively high in infrequently burnt forest and woodland, while frequently burnt grasslands had lower rates, presumably because most C is released through dry season burning and not through decomposition in fire-prone systems. Shifts in the relative importance of the two pathways for C release from organic matter may have strong implications for C and nutrient cycling in seasonally dry tropical ecosystems.     

Rare β-Resorcylic Acid Derivatives from a Halophyte-Associated Fungus Colletotrichum gloeosporioides JS0419 and Their Antifungal Activities

Six new β-resorcylic acid derivatives (1–5 and 7) were isolated from a halophyte-associated fungus, Colletotrichum gloeosporioides JS0419, together with four previously reported β-resorcylic acid lactones (RALs). The relative and absolute stereochemistry of 1 was completely established by a combination of spectroscopic data and chemical reactions. The structures of the isolated compounds were elucidated by analysis of HRMS and NMR data. Notably, compounds 1–3 had a β-resorcylic acid harboring a long unesterified aliphatic side chain, whereas the long aliphatic chains were esterified to form macrolactones in 4–9. Among the isolated compounds, monocillin I and radicicol showed potent antifungal activities against Cryptococcus neoformans, comparable to clinically available antifungal agents and radicicol showed weak antifungal activity against Candida albicans. These findings provide insight into the chemical diversity of fungal RAL-type compounds and their pharmacological potential.     

Apo-9′-Fucoxanthinone,Isolated from Sargassum muticum,Inhibits CpG-Induced Inflammatory Response by Attenuating the Mitogen-Activated Protein Kinase Pathway

Sargassum muticum (S. muticum) is a brown edible alga and widely distributed in Korea. This report was designed to evaluate the anti-inflammatory properties of apo-9′-fucoxanthinone (APO-9′) isolated from S. muticum on pro-inflammatory cytokine production. S. muticum extract (SME) exhibited significant inhibitory effects on pro-inflammatory cytokine production in bone marrow-derived macrophages (BMDMs) and dendritic cells (BMDCs). APO-9′ pre-treatment in the CpG DNA-stimulated BMDMs and BMDCs showed a strong dose-dependent inhibitory effect on interleukin (IL)-12 p40, IL-6 and tumor necrosis factor (TNF)-α production with IC₅₀ values ranging from 5.31 to 13.79. It exhibited a strong inhibitory effect on the phosphorylation of ERK1/2 and on activator protein (AP)-1 reporter activity. APO-9′ pre-treatment exhibited significant inhibition of CpG DNA-induced production of inducible nitric oxide synthase. Taken together, these data suggest that SME and APO-9′ have a significant anti-inflammatory property and warrant further studies concerning the potentials of SME and APO-9′ for medicinal use.     

应用低能离子束将抗菌肽ShivaA基因导入恢复系明恢63的研究(简报)

利用低能离子束介导转基因法于 1993年首次获得成功 ,本研究通过这一技术将抗菌肽ShivaA基因导入水稻恢复系明恢6 3成熟胚中 ,经过诱导愈伤和绿苗分化 ,并再生植株 ,经PCR检测分析证明外源基因已整合到再生植株基因组中。     

基于变量优选与机器学习的干旱区湿地土壤盐渍化数字制图

土壤盐渍化是导致土壤退化和生态系统恶化的主要原因之一,对干旱区的可持续发展构成主要威胁。为了尽可能精确地监测土壤盐渍化的空间变异性,该研究收集新疆艾比湖湿地78个典型样点,其中选取54个样本作为训练集,24个样本作为独立验证集。基于Sientinel-2多光谱传感器(Multi-Spectral Instrument,MSI)、数字高程模型(Digital Elevation Model,DEM)数据提取3类指数(红边光谱指数、植被指数和地形指数),经过极端梯度提升(Extreme Gradient Boosting,XGBoost)算法筛选有效特征变量,构建了关于土壤电导率(Electrical Conductivity,EC)的随机森林(Random Forest,RF)、极限学习机(Extra Learning Machine,ELM)和偏最小二乘回归(Partial Least Squares Regression,PLSR)预测模型,并选择最优模型绘制了艾比湖湿地盐渍化分布图。结果表明:优选的红边光谱指数基本能够预测EC的空间变化;红边光谱指数与植被指数组合建模效果总体上优于...     

猪圆环病毒2型ORF3基因的克隆及原核表达

以细胞总基因组提取试剂盒抽提PCV2细胞毒株总DNA为模板,用特异性引物扩增PCV2 ORF3基因。将ORF3和表达载体pGEX-6p-1用BamH I和Sal I双酶切回收后连接,将测序验证为阳性的重组质粒命名为pGEX-6p-1-ORF3。重组质粒pGEX-6p-1-ORF3转化BL21(DE3)后用IPTG诱导表达并纯化,对获得的表达产物进行SDS-PAGE电泳、Western blot检测。结果表明:PCV2 ORF3在pGEX-6p-1中获得了高效表达,其表达蛋白主要以包涵体形式存在,其分子质量约为37 kD,且能够和PCV2阳性血清发生特异性相互作用,具有免疫学活性。     

天然膨润土吸附Cu2+的动力学、等温线及热力学研究

文章讨论了不同影响因素如接触时间、振荡速度、膨润土用量、初始离子浓度、初始pH、温度等对膨润土吸附性能的影响,研究了Cu2+在天然膨润土上吸附的动力学、等温线和热力学理论。动力学研究数据表明,吸附满足准二级动力学模型,吸附初始阶段受界面扩散控制,45 min后受粒子内扩散控制;吸附满足Freundlich等温线模型;吸附是一个自发的、吸热的过程,而且反应不可逆。