The innovation effect of low-carbon technology transfer from the perspective of carbon emission reduction demand: A case study of the Yangtze River Economic Belt in China

Reducing carbon emissions is the only way to solve the global climate problem, which obviously requires the joint efforts of all regions. From the perspective of carbon emission reduction demand, this research obtains the data of low-carbon patents and CO₂ emissions from 2000 to 2019, and then explores the innovation effect of low-carbon technology transfer in the Yangtze River Economic Belt (YREB). We draw the following conclusions: (1) Low-carbon technology transfer has a positive impact on low-carbon technology innovation. However, a large number of low-carbon technology transfers are concentrated between developed regions in the YREB at present. (2) No matter from the perspective of total amount or efficiency, carbon emission reduction demand can play positive moderating role in the process of exerting the innovation effect of low-carbon technology transfer, indicating that the transfer of low-carbon technologies to regions with high demand is efficient. (3) The moderating effect of carbon emission reduction demand in different regions has regional heterogeneity. Carbon emissions per unit of GDP plays a greater role in moderating the innovation effect of low-carbon technology transfer in the eastern region, while CO₂ emissions plays a greater role in the central and western regions. Therefore, we propose to strengthen the transfer of low-carbon technologies between developed and less-developed regions, and adopt differentiation strategies according to the actual situation of each region. Our research has deepened the understanding of environmental economic geography on the innovation effect of low-carbon technology transfer, and has reference significance for global low-carbon technology cooperation.     

Cloning and Sequence Analysis of Complete Genome of Porcine Circovirus Type 2 from Liaoning Province

It was aimed to lay a foundation for epidemiological survey of porcine circovirus type 2(PCV2) in Liaoning province and selection of highly homologous strain inactivated vaccine.Some pigs suspected of having postweaning multisystemic wasting syndrome (PMWS) from Shenyang,Chaoyang,Tieling,Dalian and other places in Liaoning province,were detected by PCR method,then the whole genome of 10 positive samples were cloned and sequenced.The result showed that all of them were virulent strains,9 strains were 1767 bp and 1 strain was 1768 bp,and there was a T base additon at 1039 bp.The nucleotide homology was 95.1% to 98.5% with HM038034 and JQ692110.In the phylogenetic tree,JHZ2 was PCV2a type,the other 9 strains were PCV2b type,DLS38,LYD32 and SYX7 were in the same branch and same onset time.The amino acid homology of ORF2 was 89.6% to 100.0%,there were 35 mutation points,large degree of variation,the only glycosylation site (NYS) was conserved.10 strains did not change significantly,mutants were not due to PCVD,PCV2b was the predominant type,and PCV2 was related with seasonality.     

中国与俄罗斯农业合作状况与发展思路

农业是人类的生存之本,也是中国的根基产业。自“一带一路”倡议提出以来,中国农业农村部等部门,不断开辟新的领域,积极推动与沿线国家的农业合作发展。俄罗斯是中国“一带一路”战略的重要合作伙伴,两国长期在农业方面互有合作,但目前合作的规模还较小,效率还较低,尚未达到预期效果。在经济全球化趋势愈加明显的背景下,中俄两国应抓住机遇,不断深化两国在农业方面的合作,以推动双方农业经济发展。本文通过简述俄罗斯农业现状,并通过对两国在农产品贸易、农业投资、农业教育与科技合作等方面的具体情况与存在问题进行分析,提出了推动中俄两国农业合作的思路,以期为国内各部门和相关企业与俄罗斯开展农业合作提供参考。     

Characterizing long-term forest disturbance history and its drivers in the Ning-Zhen Mountains,Jiangsu Province of eastern China using yearly Landsat observations (1987–2011)

Forest losses or gains have long been recognized as critical processes modulating the carbon flux between the biosphere and the atmosphere. Timely, accurate and spatially explicit information on forest disturbance and recovery history is required for assessing the effectiveness of existing forest management. The major objectives of our research focused on testing the mapping efficacy of the vegetation change tracker (VCT) model over a forested area in China. We used a new version of VCT algorithm built upon the Landsat time series stacks (LTSS). The LTSS consisted of yearly image acquisitions to map forest disturbance history from 1987 to 2011 over the Ning-Zhen Mountains, Jiangsu Province of east China. The LTSS consisted of TM and ETM+ scenes with different projections due to distinct data sources (Beijing remote sensing ground station and the USGS EROS Center). The validation results of the disturbance year maps showed that most spatial agreement measures ranged from 70 to 86 %, comparable with the VCT accuracies reported for many places in USA. Very low accuracies were identified in 1995 (38.3 %) and 1992 (56.2 %) in the current analysis. These resulted from the insensitivity of the VCT algorithm to detect low intensity disturbances and also from the mis-registration errors of the image pairs. Major forest disturbance types existing in our study area were identified as agricultural expansion (39.8 %), urbanization (24.9 %), forest management practice (19.3 %), and mining (12.8 %). In general, there was a gradual decreasing trend in forest cover throughout this region, caused principally by China’s economic, demographic, environmental and political policies and decisions, as well as some weather events. While VCT has largely been used to assess long term changes and trends in the USA, it has great potential for assessing landscape level change elsewhere throughout the world.     

栽培介质、pH值和氮形态对毛竹幼苗地上部分生长的影响

为进一步明确毛竹幼苗无土栽培的最佳条件,阐明毛竹N形态响应差异的影响因素,加快毛竹实生苗的培育.研究超纯水、砂和蛭石3种栽培介质,2 mM不同N形态(NH4+-N、NO3--N)以及3种pH值(3.8、5.8、7.8)处理对毛竹幼苗地上部的苗高、叶片数、叶绿素相对含量(SPAD)及地上部生物量的影响.结果表明:在蛭石和水培时,毛竹生长表现出明显的喜铵性,并且在pH为3.8时生长最好;而砂培时,毛竹幼苗生长对NH4+-N和NO3--N以及pH的响应差异都不明显.相关性分析结果表明,对地上部生长的影响为:栽培介质>pH值>N形态.毛竹幼苗生长及对不同N形态的响应受外界环境条件影响,在蛭石中栽培,供应NH4+-N为主、pH值为3.8的营养液,其生长最好.研究结果可为毛竹幼苗的无土栽培和繁育提供理论参考.     

Effect of ammonia and nitrite on vigour,survival rate,moulting rate of the blue swimming crab <Emphasis Type="Italic">Portunus pelagicus</Emphasis> zoea

The effects of ammonia and nitrite on vigour, survival rate, moulting rate of zoea of blue swimming crab, Portunus pelagicus, were studied. A total of five nitrite-N treatments (26.67, 53.34, 106.68, 213.36, 426.72 mg/l) and a control (no nitrite-N added) were set up for the acute nitrite-N toxicity experiment; a total of five ammonia-N treatments (8.43, 16.86, 33.72, 67.44, 134.88 mg/l) and a control (no ammonia-N added) were set up for the acute ammonia-N toxicity experiment. The results showed that the vigour, survival rate and moulting rate of zoea of the blue swimming crabs exposed to over 53.34 mg/l were significantly different (P < 0.05) from the control group. The zoea LC₅₀ values (mg/l) of nitrite-N were 179.47, 76.56, 66.70, 37.49, 25.01, 25.35, 25.34 mg/l for 24, 36, 48, 60, 72, 84, 96 h, respectively. The vigour, survival rate and moulting rate of zoea of the blue swimming crabs exposed to over 16.86 mg/l were significantly different (P < 0.05) from the control group. The zoea LC₅₀ values (mg/l) of ammonia-N were 51.04, 39.62, 38.72, 24.43, 16.90, 13.42, 11.16 mg/l for 24, 36, 48, 60, 72, 84, 96 h, respectively. The zoeae are highly sensitive to ammonia and nitrite, and the toxicity of ammonia and nitrite on Portunus pelagicus decrease with development of this crab.     

基于介观量子理论的最佳PCR引物浓度计算

对PCR反应体系而言,引物浓度过高或过低对反应体系都存在严重的影响,只有合理的浓度区间才能对整个反应高效有序地进行发挥重要的作用.降低PCR引物间的量子效应有利于提高引物间PCR反应的独立性和确定性,故粒子自由程至少是相位关联长度的10倍,并由此可以得到引物反应浓度的上限;粒子非弹性散射的最大自由程是粒子运动的极限自由程,依此可以得到引物反应浓度的下限,从而确定了引物的有效浓度区间;引物浓度-扩增效率曲线一般呈单峰分布,利用黄金分割法可以精准、迅速地确定引物最佳浓度。基于上述计算方法,长20、25、30 nt的引物有效浓度区间分别为0.027~5.280、0.019~7.310、0.015~9.461 umol·L-1。引物有效浓度区间及最佳浓度对PCR反应体系的反应效率与速率、PCR产物质量等具有决定性的作用,而应用理论方法确定它们将对理论指导实验具有重要的意义。