Natural climate solutions versus bioenergy: Can carbon benefits of natural succession compete with bioenergy from short rotation coppice?

Short rotation plantations are often considered as holding vast potentials for future global bioenergy supply. In contrast to raising biomass harvests in forests, purpose‐grown biomass does not interfere with forest carbon (C) stocks. Provided that agricultural land can be diverted from food and feed production without impairing food security, energy plantations on current agricultural land appear as a beneficial option in terms of renewable, climate‐friendly energy supply. However, instead of supporting energy plantations, land could also be devoted to natural succession. It then acts as a long‐term C sink which also results in C benefits. We here compare the sink strength of natural succession on arable land with the C saving effects of bioenergy from plantations. Using geographically explicit data on global cropland distribution among climate and ecological zones, regionally specific C accumulation rates are calculated with IPCC default methods and values. C savings from bioenergy are given for a range of displacement factors (DFs), acknowledging the varying efficiency of bioenergy routes and technologies in fossil fuel displacement. A uniform spatial pattern is assumed for succession and bioenergy plantations, and the considered timeframes range from 20 to 100 years. For many parameter settings—in particular, longer timeframes and high DFs—bioenergy yields higher cumulative C savings than natural succession. Still, if woody biomass displaces liquid transport fuels or natural gas‐based electricity generation, natural succession is competitive or even superior for timeframes of 20–50 years. This finding has strong implications with climate and environmental policies: Freeing land for natural succession is a worthwhile low‐cost natural climate solution that has many co‐benefits for biodiversity and other ecosystem services. A considerable risk, however, is C stock losses (i.e., emissions) due to disturbances or land conversion at a later time.     

The Biological Applications of Two Aggregation‐Induced Emission Luminogens

Fluorescence imaging, as a commonly used scientific tool, is widely applied in various biomedical and material structures through visualization technology. Highly selective and sensitive luminescent biological probes, as well as those with good water solubility, are urgently needed for biomedical research. In contrast to the traditional aggregation‐caused quenching of fluorescence, in the unique phenomenon of aggregation‐induced emission (AIE), the individual luminogens have extremely weak or no emissivity because they each have free intramolecular motion; however, when they form aggregates, these components immediately “light up”. Since the discovery of “turn‐on” mechanism, researchers have been studying and applying AIE in a variety of fields to develop more sensitive, selective, and efficient strategies for the AIE dyes. There are numerous advantages to the use of AIE‐based methods, including low background interference, strong contrast, high performance in intracellular imaging, and the ability for long‐term monitoring in vivo. In this review, two typical examples of AIEgens, TPE‐Cy and TPE‐Ph‐In, are described, including their structure properties and applications. Recent progress in the biological applications is mainly focused on. Undoubtedly, in the near future, an increasing number of encouraging and practical ideas will promote the development of more AIEgens for broad use in biomedical applications.     

Measuring expansion from macro‐ to nanoscale using NPC as intrinsic reporter

Expansion microscopy is a super‐resolution method that allows expanding uniformly biological samples, by increasing the relative distances among fluorescent molecules labeling specific components. One of the main concerns in this approach regards the isotropic behavior at the nanoscale. The present study aims to determine the robustness of such a technique, quantifying the expansion parameters i.e. scale factor, isotropy, uniformity. Our focus is on the nuclear pore complex (NPC), as well‐known nanoscale component endowed of a preserved and symmetrical structure localized on the nuclear envelope. Here, we show that Nup153 is a good reporter to quantitatively address the isotropy of the expansion process. The quantitative analysis carried out on NPCs, at different spatial scales, allows concluding that expansion microscopy can be used at the nanoscale to measure subcellular features with an accuracy from 10 to 5 nm. Therefore, it is an excellent method for structural studies of macromolecular complexes.     

Quantitative FRET measurement based on spectral unmixing of donor,acceptor and spontaneous excitation‐emission spectra

The spontaneous excitation‐emission (ExEm) spectrum is introduced to the quantitative mExEm‐spFRET methodology we recently developed as a spectral unmixing component for quantitative fluorescence resonance energy transfer measurement, named as SPEES‐FRET method. The spectral fingerprints of both donor and acceptor were measured in HepG2 cells with low autofluorescence separately expressing donor and acceptor, and the spontaneous spectral fingerprint of HEK293 cells with strong autofluoresence was measured from blank cells. SPEES‐FRET was performed on improved spectrometer‐microscope system to measure the FRET efficiency (E) and concentration ratio (R _C) of acceptor to donor vales of FRET tandem plasmids in HEK293 cells, and obtained stable and consistent results with the expected values. Moreover, SPEES‐FRET always obtained stable results for the bright and dim cells coexpressing Cerulean and Venus or Cyan Fluorescent Protein (CFP)‐Bax and Yellow fluorescent protein (YFP)‐Bax, and the E values between CFP‐Bax and YFP‐Bax were 0.02 for healthy cells and 0.14 for the staurosporine (STS)‐treated apoptotic cells. Collectively, SPEES‐FRET has very strong robustness against cellular autofluorescence, and thus is applicable to quantitative evaluation on the protein‐protein interaction in living cells with strong autofluoresence.      

Interacting climate change environmental factors effects on Fusarium langsethiae growth,expression of Tri genes and T-2/HT-2 mycotoxin production on oat-based media and in stored oats

This study examined the effect of climate change (CC) abiotic factors of temperature (20, 25, 30 °C), water activity (a_w; 0.995, 0.98) and CO₂ exposure (400, 1000 ppm) may have on (a) growth, (b) gene expression of biosynthetic toxin genes (Tri5, Tri6, Tri16), and (c) T-2/HT-2 toxins and associated metabolites by Fusarium langsethiae on oat-based media and in stored oats. Lag phases and growth were optimum at 25 °C with freely available water. This was significantly reduced at 30 °C, at 0.98 a_w and 1000 ppm CO₂ exposure. In oat-based media and stored oats, Tri5 gene expression was reduced in all conditions except 30 °C, 0.98 a_w, elevated CO₂ where there was a significant (5.3-fold) increase. The Tri6 and Tri16 genes were upregulated, especially in elevated CO₂ conditions. Toxin production was higher at 25 °C than 30 °C. In stored oats, at 0.98 a_w, elevated CO₂ led to a significant increase (73-fold) increase in T2/HT-2 toxin, especially at 30 °C. Nine T-2 and HT-2 related metabolites were detected, including a new dehydro T-2 toxin (which correlated with T-2 production) and the conjugate, HT-2 toxin, glucuronide. This shows that CC factors may have a significant impact on growth and mycotoxin production by F. langsethiae.     

Neuropathological correlates of amyloid PET imaging in Down syndrome

Down syndrome (DS) results in an overproduction of amyloid‐β (Aβ) peptide associated with early onset of Alzheimer's disease (AD). DS cases have Aβ deposits detectable histologically as young as 12–30 years of age, primarily in the form of diffuse plaques, the type of early amyloid pathology also seen at pre‐clinical (i.e., pathological aging) and prodromal stages of sporadic late onset AD. In DS subjects aged >40 years, levels of cortical Aβ deposition are similar to those observed in late onset AD and in addition to diffuse plaques involve cored plaques associated with dystrophic neurites (neuritic plaques), which are of neuropathological diagnostic significance in AD. The purpose of this review is to summarize and discuss findings from amyloid PET imaging studies of DS in reference to postmortem amyloid‐based neuropathology. PET neuroimaging applied to subjects with DS has the potential to (a) track the natural progression of brain pathology, including the earliest stages of amyloid accumulation, and (b) determine whether amyloid PET biomarkers predict the onset of dementia. In addition, the question that is still incompletely understood and relevant to both applications is the ability of amyloid PET to detect Aβ deposits in their earliest form.     

Responses to ocean acidification and diurnal temperature variation in a commercially farmed seaweed,Pyropia haitanensis (Rhodophyta)

To investigate carbon and nitrogen metabolism in Pyropia haitanensis in response to the combined conditions of ocean acidification and diurnal temperature variation, maricultured thalli were tested in acidified culture under different temperature treatments. The results showed a combined effect of ocean acidification and diurnal temperature difference on the C and N metabolism and growth of P. haitanensis. In acidifed culture, algal growth, maximum photosynthetic rate, nitrate reductase (NR) activity, amino acid (AA) content and AA score (AAS) were more significantly enhanced in seaweed under diurnal temperature variation than in seaweed at constant temperature. In acidified seawater, soluble carbohydrates in P. haitanensis increased due to greater dissolved inorganic carbon (DIC), whereas soluble proteins decreased. Under the diurnal temperature treatment, higher temperature during the light period enhanced accumulation of algal photosynthates, whereas lower temperature in the dark period reduced energy consumption, resulting in enhanced algal growth, AA content and AAS. We concluded that suitable diurnal temperature difference would be conducive to C fixation and N assimilation under ocean acidification. However, excessively high temperatures would depress algal photosynthesis and increase energy consumption, thereby exerting a negative effect on algal growth.     

基于碳排放核算的中国区域旅游业生态效率测度及比较研究

旅游业作为国民经济发展的战略性支柱产业在区域发展中具有重要作用。借鉴生态效率的基本思想,考虑区域能源消费结构差异,使用自下而上的方法将旅游交通、旅游住宿与游憩活动碳排放进行加总估算出2000—2013年中国旅游业碳排放量;接着运用单一比值法计算出2000—2013年中国及各地区旅游业生态效率值,利用变异系数、莫兰指数对测度结果进行分析并与可持续发展生态效率值进行比较。研究结果表明:(1)2000—2013年,中国旅游业碳排放量不断增加,从2000年的1202.71万t增加到2013年的4151.57万t。旅游业部门之间碳排放量差异较大,尤其是旅游交通部门占到旅游业碳排放量的90%左右;(2)得益于2000—2013年旅游业发展的促进政策,中国及各地区旅游业生态效率总体上呈现不断改善的趋势,中国旅游业生态效率由2000年0.1193 kgCO_2-e/$下降到0.0309 kgCO_2-e/$。(3)时间维度上,中国旅游业生态效率的区域不平衡问题仍然存在,相比于2000年旅游业生态效率变异系数0.7114,2013年的变异系数反而增加到0.7483;空间维度上,各地区旅游业生态效率聚集模式发生了明显变化,莫兰指数由0.3036减少到0.0278。(4)通过将测度结果进行比较,中国旅游业自2000年开始进入可持续发展阶段,中国旅游业的整体可持续水平要优于其他产业,各地区的旅游业在2010年全部进入可持续发展状态。最后,对结果进行了讨论并提出旅游业生态效率的优化应从旅游收入增加与旅游业减排两方面进行。     

我国重点氟污染行业排放清单与土壤氟浓度估算

工业生产排放和土壤氟高背景值导致我国部分地区氟污染严重,给生态安全和人类健康造成严重威胁.本文基于我国氟排放重点行业的生产产能,估算重点行业生产过程中氟排放量,构建我国重点行业氟排放清单,基于数据集成和融合,分析我国土壤氟背景值、氟地球化学分布和土壤氟浓度分布,并对氟污染典型区域氟污染成因及控制进行系统分析.分析发现,我国氟排放的重点行业有钢铁、磷肥和电解铝.磷肥施用的氟排放量最大,但施用面积大,浓度贡献小;电解铝行业的氟排放强度大;钢铁行业的氟排放总量大,但排放强度较小.我国大部分地区土壤氟背景值不高,环境容量大.但部分地区氟污染严重,主要是由工业氟排放和土壤氟高背景值造成,这些地区应采取相应的防控措施.     

基于建筑容量的城市建设用地碳汇量核算方法

城市建设中的矿物质材料开发利用活动不仅导致大量碳排放,也产生了碳吸收.以往建筑矿物质材料的碳吸收过程一直没有得到重视和科学量化.本研究采用遥感影像阴影高度反演技术,提取地块的建筑容量,识别建筑类型,以此为依据确定矿物材料用量及碳含量参数,采用热重分析法测定碳化率,基于以上步骤构建城市建筑碳汇量的核算方法,并选取沈阳市蒲河新来测试这一核算方法,同时进行不确定性分析.结果表明: 1996—2016年,沈阳市蒲河新城各类型建筑产生的碳汇总量依次为:居住建筑>公共服务建筑>其他类建筑>商业金融建筑>工业建筑;各类建筑用地的碳汇容积率依次为:商业金融建筑>居住建筑>公共服务建筑>其他类建筑>工业建筑.本研究构建的基于建筑容量提取的城市尺度的建筑碳汇量核算方法,可以快速准确地估算不同类型城市建设用地无机材料产生的碳汇量.在城市自然碳汇有限条件下,利用建筑碳汇增加城市碳汇量,能够为我国城市低碳发展提供新的思路.