Application and comparison of remote sensing GPP models with multi-site data in China北大核心CSCD

Aims Estimation of gross primary productivity (GPP) of vegetation at the global and regional scales is important for understanding the carbon cycle of terrestrial ecosystems. Due to the heterogeneous nature of land surface, measurements at the site level cannot be directly up-scaled to the regional scale. Remote sensing has been widely used as a tool for up-saling GPP by integrating the land surface observations with spatial vegetation patterns. Although there have been many models based on light use efficiency and remote sensing data for simulating terrestrial ecosystem GPP, those models depend much on meteorological data; use of different sources of meteorological datasets often results in divergent outputs, leading to uncertainties in the simulation results. In this study, we examines the feasibility of using two GPP models driven by remote sensing data for estimating regional GPP across different vegetation types. Methods Two GPP models were tested in this study, including the Temperature and Greenness Model (TG) and the Vegetation Index Model (VI), based on remote sensing data and flux data from the China flux network (ChinaFLUX) for different vegatation types for the period 2003-2005. The study sites consist of eight ecological stations located in Xilingol (grassland), Changbaishan (mixed broadleaf-conifer forest), Haibei (shrubland), Yucheng (cropland), Damxung (alpine meadow), Qianyanzhou (evergreen needle-leaved forest), Dinghushan (evergreen broad-leaved forest), and Xishuangbanna (evergreen broad-leaved forest), respectively. Important findings All the remote sensing parameters employed by the TG and VI models had good relationships with the observed GPP, with the values of coefficient of determination, R2, exceeding 0.67 for majority of the study sites. However, the root mean square errors (RMSEs) varied greatly among the study sites: the RMSE of TG ranged from 0.29 to 6.40 g·m-2·d-1, and that of VI ranged from 0.31 to 7.09 g·m-2·d-1, respectively. The photosynthetic conversion coefficients m and a can be up-scaled to a regional scale based on their relationships with the annual average nighttime land surface temperature (LST), with 79% variations in m and 58% of variations in a being explainable in the up-scaling. The correlations between the simulated outputs of both TG and VI and the measured values were mostly high, with the values of correlation coefficient, r, ranging from 0.06 in the TG model and 0.13 in the VI model at the Xishuangbanna site, to 0.94 in the TG model and 0.89 in the VI model at the Haibei site. In general, the TG model performed better than the VI model, especially at sites with high elevation and that are mainly limited by temperature. Both models had potential to be applied at a regional scale in China.     

铜绿假单胞菌铁摄取与生物被膜形成研究进展

生物被膜是单细胞微生物通过其分泌的胞外多聚基质粘附于介质表面并将其自身包绕其中而成的膜样微生物细胞聚集物。生物被膜的形成使细菌具有更强的适应外界环境的能力,也是导致微生物产生耐药性及慢性感染性疾病难以治疗的重要原因之一。铜绿假单胞菌在肺部的定殖是肺囊性纤维化病患者发病和死亡主要原因,其造成的感染通常与形成抗生素抗性极强的生物被膜有关。铜绿假单胞菌生物被膜的形成受控于多种复杂的细菌调控体系之下,包括群体感应系统及参与调节胞外多聚基质合成的双组分调控系统等。此外,为了利用低浓度的环境铁来维持生存并完成各种生理功能,铜绿假单胞菌进化出了一系列铁摄取系统,这些系统对其毒力因子的释放和生物被膜的形成又起着重要的调控作用。本文主要对铜绿假单胞菌生物被膜的形成与调控机制及其铁摄取系统进行了综述,为进一步了解及清除铜绿假单胞菌引发的问题提供途径与思路。     

水土流失区生态修复后植被健康的遥感判别

基于遥感技术和WorldView-2卫星影像,提出一个新型植被健康指数(VHI),以快速、大面积地监测与评价水土流失区的植被健康状况.该指数由归一化山地植被指数、氮素反射指数和黄光波段反射率3个因子构成,通过主成分变换将3个因子集成为VHI,以避免主观加权求和集成法所产生的偏差.将VHI应用于福建省长汀县河田盆地一带,对水土流失区的植被健康状况进行监测.结果表明: VHI可以很好地揭示植被的健康状况,其判别总精度可达91%.河田盆地健康等级为好、中、差的植被面积占植被总面积的比例分别为10.1%、49.2%和40.7%,说明研究区的植被健康总体状况仍不理想,主要因为水土流失区土壤贫瘠、新种植的植被生长不良.     

轻小型无人机低空遥感及其在生态学中的应用进展

无人机低空遥感系统弥补了航天和航空遥感在影像分辨率、重访周期、云层影响以及高成本等方面的不足,为中观尺度的生态学研究提供了新方法.本文介绍了轻小型无人机低空遥感系统的组成,从物种、种群、群落和生态系统尺度综述了其在生态学中的应用现状,并指出目前存在的不足和未来的发展方向,以期为无人机生态学的后续研究提供参考.无人机生态学当前面临的挑战和未来发展的方向主要有物种形态和光谱特征库的建立、物种自动识别、光谱数据与植物生理生态过程之间关系的进一步挖掘、生态系统三维立体监测、多来源多尺度遥感数据融合等.随着无人机平台技术、传感器技术以及数据传输处理技术的成熟,以无人机低空遥感技术为基础的无人机生态学将迎来发展的机遇和曙光.     

Snapin promotes HIV‐1 transmission from dendritic cells by dampening TLR8 signaling

HIV‐1 traffics through dendritic cells (DCs) en route to establishing a productive infection in T lymphocytes but fails to induce an innate immune response. Within DC endosomes, HIV‐1 somehow evades detection by the pattern‐recognition receptor (PRR) Toll‐like receptor 8 (TLR8). Using a phosphoproteomic approach, we identified a robust and diverse signaling cascade triggered by HIV‐1 upon entry into human DCs. A secondary siRNA screen of the identified signaling factors revealed several new mediators of HIV‐1 trans‐infection of CD4⁺ T cells in DCs, including the dynein motor protein Snapin. Inhibition of Snapin enhanced localization of HIV‐1 with TLR8⁺ early endosomes, triggered a pro‐inflammatory response, and inhibited trans‐infection of CD4⁺ T cells. Snapin inhibited TLR8 signaling in the absence of HIV‐1 and is a general regulator of endosomal maturation. Thus, we identify a new mechanism of innate immune sensing by TLR8 in DCs, which is exploited by HIV‐1 to promote transmission.     

Functional marine metagenomic screening for anti-quorum sensing and anti-biofilm activity

Quorum sensing (QS), a cell-to-cell communication process, entails the production of signaling molecules that enable synchronized gene expression in microbial communities to regulate myriad microbial functions, including biofilm formation. QS disruption may constitute an innovative approach to the design of novel antifouling and anti-biofilm agents. To identify novel quorum sensing inhibitors (QSI), 2,500 environmental bacterial artificial chromosomes (BAC) from uncultured marine planktonic bacteria were screened for QSI activity using soft agar overlaid with wild type Chromobacterium violaceum as an indicator. Of the BAC library clones, 7% showed high QSI activity (>40%) against the indicator bacterium, suggesting that QSI is common in the marine environment. The most active compound, eluted from BAC clone 14-A5, disrupted QS signaling pathways and reduced biofilm formation in both Pseudomonas aeruginosa and Acinetobacter baumannii. The mass spectra of the active BAC clone (14-A5) that had been visualized by thin layer chromatography was dominated by a m/z peak of 362.1.     

水中构筑物表面生物膜形成物理化学过程

水中构筑物表面生物膜的形成会加速构筑物的腐蚀,严重影响其使用效率和寿命;成熟后的生物膜老化脱落或受水力剪切作用进入主体水中,会造成水体二次污染,对动植物生长和人类生活造成重大影响。生物膜的形成是由单个细菌黏附到表面开始的,经过可逆黏附到不可逆黏附的过渡后,细菌分泌的胞外聚合物（extracellular polymeric substances, EPSs）会加速表面微菌落的形成,再通过细菌间的群体感应（quorum sensing,QS）使细菌启动表型和基因型变化,最终促使成熟生物膜的形成。本文综述了生物膜形成的不同阶段所涉及的物理化学过程（薄膜形成阶段、细菌黏附阶段、胞外聚合物膜阶段、群体感应调节生物膜阶段和生物膜成熟与表征）,分析总结了本领域各方向的最新研究进展,归纳并阐明了水中构筑物表面生物膜形成的机理和影响因素,为生物膜防控、清除和利用等相关研究领域提供了理论依据。     

Spectral vegetation indices as the indicator of canopy photosynthetic productivity in a deciduous broadleaf forest

Aims Understanding of the ecophysiological dynamics of forest canopy photosynthesis and its spatial and temporal scaling is crucial for revealing ecological response to climate change. Combined observations and analyses of plant ecophysiology and optical remote sensing would enable us to achieve these studies. In order to examine the utility of spectral vegetation indices (VIs) for assessing ecosystem-level photosynthesis, we investigated the relationships between canopy-scale photosynthetic productivity and canopy spectral reflectance over seasons for 5 years in a cool, temperate deciduous broadleaf forest at 'Takayama' super site in central Japan.Methods Daily photosynthetic capacity was assessed by in situ canopy leaf area index (LAI), (LAI × V cmax [single-leaf photosynthetic capacity]), and the daily maximum rate of gross primary production (GPP max) was estimated by an ecosystem carbon cycle model. We examined five VIs: normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), green–red vegetation index (GRVI), chlorophyll index (CI) and canopy chlorophyll index (CCI), which were obtained by the in situ measurements of canopy spectral reflectance.Important findings Our in situ observation of leaf and canopy characteristics, which were analyzed by an ecosystem carbon cycling model, revealed that their phenological changes are responsible for seasonal and interannual variations in canopy photosynthesis. Significant correlations were found between the five VIs and canopy photosynthetic capacity over the seasons and years; four of the VIs showed hysteresis-type relationships and only CCI showed rather linear relationship. Among the VIs examined, we applied EVI–GPP max relationship to EVI data obtained by Moderate Resolution Imaging Spectroradiometer to estimate the temporal and spatial variation in GPP max over central Japan. Our findings would improve the accuracy of satellite-based estimate of forest photosynthetic productivity in fine spatial and temporal resolutions, which are necessary for detecting any response of terrestrial ecosystem to meteorological fluctuations.