基于用户参与的科研院所机构知识库建设模式研究

文章以用户参与为理论基础,以融入科研管理为实践目标,创新性地提出一种适合科研院所的机构知识库建设模式,并以江苏省农业科学院为例进行了实证研究,该模式兼具传统机构知识库功能,又能体现科研机构特色、解决科研机构成果管理问题.在此基础上,还分析明确了适用于科研院所成果管理和共享的数据审核流程、元数据标准规范、功能模块、系统架构、管理运行机制等.     

凤阳山不同林分土壤腐殖质特征及影响因素

以浙江省凤阳山海拔1 300~1 400 m处不同林分类型(阔叶混交林、针阔混交林、杉木林、竹林)为对象,测定不同土层土壤基本理化性质、酶活性及腐殖质质量分数,分析土壤腐殖质特征及影响因素,为凤阳山自然保护区的土壤肥力和可持续经营发展提供理论依据。结果表明:土壤腐殖质质量分数针阔混交林最高,阔叶混交林、竹林、杉木林次之;胡敏酸质量分数针阔混交林最高,杉木林最低;富里酸质量分数针阔混交林最高,竹林最低。除磷酸酶活性随土层加深无统一规律外,4种林分脲酶活性、过氧化氢酶活性及蔗糖酶活性土壤随土层加深皆呈现降低趋势。土壤pH值、土壤密度与土壤腐殖质质量分数、胡敏酸质量分数和富里酸质量分数均呈现显著的负相关;除磷酸酶活性相关性不显著外,土壤脲酶活性、蔗糖酶活性、过氧化氢酶活性、总孔隙度、毛管孔隙、非毛管孔隙与土壤腐殖质质量分数、胡敏酸质量分数和富里酸质量分数均呈现显著的正相关。凤阳山不同林分类型对土壤腐殖质特征的影响较土层深度更显著,土壤理化性质及酶活性与土壤腐殖质质量分数有着密切关系。     

Tuberculosis vaccination sequence effect on protection in wild boar

The Eurasian wild boar (Sus scrofa) is a reservoir for tuberculosis (TB) in which vaccination is a valuable tool for control. We evaluated the protection and immune response achieved by homologous and heterologous regimes administering BCG and heat-inactivated Mycobacterium bovis (IV). Twenty-one wild boar piglets were randomly allocated in five groups: Control, homologous BCG, homologous IV, heterologous IV-BCG, heterologous BCG-IV. Significant 67% and 66% total lesion score reductions were detected in homologous IV (IVx2) and heterologous IV-BCG groups when compared with Control group (F_4,16 = 6.393, p = 0.003; Bonferroni _{Control vs IVx2} p = 0.026, Tukey _{Control vs IV-BCG} p = 0.021). No significant differences were found for homologous BCG (although a 48% reduction in total lesion score was recorded) and BCG-IV (3% reduction). Heterologous regimes did not improve protection over homologous regimes in the wild boar model and showed variable results from no protection to similar protection as homologous regimes. Therefore, homologous regimes remain the best option to vaccinate wild boar against TB. Moreover, vaccine sequence dramatically influenced the outcome underlining the relevance of studying the effects of prior sensitization in the outcome of vaccination.     

Temporal and spatial progress of the diseases caused by the crinivirus tomato chlorosis virus and the begomovirus tomato severe rugose virus in tomatoes in Brazil

Efficient management of whitefly-borne diseases remains a challenge due to the lack of a comprehensive understanding of their epidemiology, particularly of the diseases tomato golden mosaic and tomato yellowing. Here, by monitoring 16 plots in four commercial fields, the temporal and spatial distribution of these two diseases were studied in tomato fields in Brazil. In the experimental plots these diseases were caused by tomato severe rugose virus (ToSRV) and tomato chlorosis virus (ToCV), respectively. The incidence of each virus was similar in the plots within a field but varied greatly among fields. Plants with symptoms for both diseases were randomly distributed in three of four spatial analyses. The curves representing the progress of both diseases were similar and contained small fluctuations, indicating that the spread of both viruses was similar under field conditions. In transmission experiments of ToSRV and ToCV by Bemisia tabaci MEAM1 (former biotype B), these viruses had a similar transmission rate in single or mixed infections. It was then shown that primary and secondary spread of ToCV were not efficiently controlled by insecticide applications. Finally, in a typical monomolecular model of disease progress, simulation of the primary dissemination of ToSRV and ToCV showed that infected plants were predominantly randomly distributed. It is concluded that, although the manner of vector transmission differs between ToSRV (persistent) and ToCV (semipersistent), the main dispersal mechanisms are most probably similar for these two diseases: primary spread is the predominant mechanism, and epidemics of these diseases have been caused by several influxes of viruliferous whiteflies.     

Worlding aspirations and resilient futures: Framings of risk and contemporary city‐making in Metro Cebu,the Philippines

In the Philippines, calls for creating ‘global’, ‘sustainable’ and ‘resilient’ cities are placing urban poor communities in increasingly precarious positions. These communities have long been the targets of urban development and ‘modernisation’ efforts; more recently the erasure of informal settlements from Philippine cities is being bolstered at the behest of climate change adaptation and disaster risk management (DRM) agendas. In Metro Cebu, flood management has been at the heart of DRM and broader urban development discussions, and is serving as justification for the demolition and displacement of informal settler communities in areas classed as ‘danger zones’. Using Kusno's (2010) interpretation of the ‘exemplary centre’ as a point of departure, this paper interrogates the relationship between DRM, worlding aspirations (Roy and Ong, 2011) and market‐oriented urbanisation in Cebu, and considers the socio‐spatial implications of these intersecting processes for urban poor communities. Through analysing the contradictions inherent in framings of certain bodies and spaces as being ‘of risk’ or ‘at risk’ over others, I argue that the epistemologies of modernity, disaster risk and resilience endorsed and propagated by the state are facilitating processes of displacement and dispossession that serve elite commercial interests under the auspices of disaster resilience and pro‐poor development.     

Projecting the suitability of global and local habitats for myrtle rust (Austropuccinia psidii) using model consensus

Myrtle rust (caused by Austropuccinia psidii) affects more than 500 known host species in the Myrtaceae family. Three different modelling approaches (CLIMEX, MaxEnt and Multi-Model Framework) were used to project the habitat suitability for myrtle rust at both global and local scales. Current data on the global occurrence of myrtle rust were collected from online literature and expert solicitation. Long-term averages of climate data (1960–1990) were sourced from WorldClim and CliMond websites. Recent reports of myrtle rust in New Zealand were used for validation of model outputs but not in model training and testing. The model outputs were combined into a consensus model to identify localities projected to be suitable for myrtle rust according to two or three models (hotspots). In addition to the locations where the pathogen is currently present, all models successfully projected independent occurrence data in New Zealand suitable for establishment of the pathogen. Climate suitability for the pathogen was primarily related to temperature followed by rainfall in MaxEnt and the CLIMEX model. The results confirmed the optimum temperature range of this pathogen in the literature (15–25 °C). Additional analysis of the precipitation variables indicated that excessive rain (more than 2000 mm in warmest quarter of the year) combined with high temperatures (>30 °C) constrain pathogen establishment. The results of the current study can be useful for countries such as New Zealand, China, South Africa and Singapore where the pathogen has not fully spread or established.     

抗旱节水小麦分子遗传育种研究进展

干旱缺水等自然灾害会导致小麦产量年度间变幅较大,尤其在小麦主产区黄淮地区更为严重。小麦抗旱节水育种是应对干旱的重大措施。本综述对小麦抗旱节水常规育种、抗旱节水分子遗传育种相关性状QTL定位、抗旱相关功能基因克隆鉴定、转基因等方面的研究进展进行了综述。水旱亲本杂交与异地交叉选择是卓有成效的常规育种方法,通过分子标记鉴定了关于根重、根长、胚芽鞘、高水分利用效率等相关性状的大量QTL;42个抗旱相关基因被克隆并进行基因功能分析和验证,均从不同代谢通路上影响着小麦抗旱性;14个来自不同供体的抗旱相关基因被研究者导入小麦品种后,转基因小麦植株的抗旱能力均得到不同程度的提高,部分植株在产量和其它抗逆性方面也得到提高。以上研究进展为抗旱节水小麦分子设计育种提供了理论依据和发展方向。     

基于GM(1,1)的天然次生林空间结构预测

【目的】系统地分析已有天然次生林林分空间结构数据,通过灰色模型预测天然次生林林分空间结构各指标未来的发展趋势,对天然林经营具有十分重要的意义。【方法】以湖南大围山自然保护区典型次生林为研究对象,依据结构化森林经营理论,选取了混交度、竞争指数、角尺度、空间密度指数、开阔比数、大小比数、林分综合均质性指数作为天然次生林林分空间结构合理性评价与预测的量化指标,构建了基于GM(1,1)的天然次生林林分空间结构灰色预测模型。模型将2008年林分空间结构各指标的平均值作为初始值,并在研究区设置了面积为20 m×20 m的5个研究样地(M1,M2,M3,M4,M5),利用保护区2008-2018年典型样地林分空间信息,预测了研究区调研样地2019年-2021年林分空间结构各指标未来的变化趋势。【结果】利用精度检验机制对该模型的精确度进行了有效性检验,检验结果表明,所有指标预测合格概率P合=71.43%,良好的概率P良好=22.86%,优的概率P优=5.71%,表明该预测模型符合精度检验要求。【结论】样地未来3 a各指标整体变化尺度不大,林分空间结构基本稳定。从各指标在2008-2018年时空上的变化规律来看,各样地林分平均竞争指数、平均大小比数及平均空间密度指数是影响林分均质性指数的关键指标。     

银杏落叶期叶片NDVI值2种拟合方法比较

【目的】对银杏Ginkgo biloba L.落叶期(9—12月)的叶片进行连续定期定点的高光谱测量,计算出能代表其生长状况和营养信息的高光谱参量NDVI值,通过选用两种不同的曲线拟合方法对其NDVI值进行宏观上的以时间为自变量的曲线拟合,选出最优拟合方法,更好地了解银杏落叶期叶片光谱特征参量NDVI值的变化趋势,从而更有效地对其进行决策和控制,为植被的大尺度遥感动态监测提供方法参考。【方法】利用SVC HR-1024I全波段地物光谱仪,选取三株健康、生长环境相同、长势相近的中龄银杏为叶片采集对象,对其落叶期冠层叶片进行定期定点定方位的高光谱观测。对获取的高光谱原始数据进行数据筛选与预处理后,通过计算得出叶片的NDVI值,分别采用二次函数拟合法和ARIMA时间序列拟合法对落叶期叶片的NDVI值进行曲线拟合,并对两种拟合方法的拟合结果进行比较,选出最适合银杏叶片落叶期NDVI值的拟合方法。【结果】二次函数拟合结果为NDVI=-0.0221T2+0.0547T+0.711,决定系数R2为0.926,但因拟合结果t值不显著,样本结果随机性大,不具广泛性;ARIMA时间序列拟合中ARIMA(2,1,2)模型估测结果与实际情况接近,R2为0.811,拟合效果较好。【结论】ARIMA时间序列拟合方法比二次行数拟合方法更适用于对银杏落叶期叶片的NDVI值进行拟合。     

长三角地区某市垃圾焚烧行业环保现状调查研究

对长三角地区某市垃圾焚烧行业的环保现状进行了调查研究,结果发现:当前区域垃圾焚烧企业,在保证规模、控制数量及地域上均衡布置的前提下,行业废水、废气污染治理设施齐全,废水、废气均稳定可达标排放,调查时段内未有投诉问题。区域垃圾焚烧行业在做到当下要求的情况下,实现了区域垃圾焚烧行业污染可控,对城市垃圾焚烧行业环保发展具备借鉴意义。