Assessing the utility of topographic variables in predicting structural complexity of tree stands in a reforested urban landscape

The transformation of natural landscapes into impervious built-up surfaces through urbanization is known to significantly interfere with the ecological integrity of urban landscapes and accelerate climate change and associated impacts. Although urban reforestation is widely recognised as an ideal mitigation practice against these impacts, it often has to compete with other lucrative land uses within an urban area. The often limited urban space provided for reforestation therefore necessitates the optimization of the ecological benefits, which demands spatially explicit information. The recent proliferation of tree stands structural complexity (SSC) and topographic data offer great potential for determining the ecological performance of reforested areas across an urban landscape. This study explores the potential of using topographic datasets to predict SSC in a reforested urban landscape and ranks the value of these topographic variables in determining SSC. Tree structural data from a reforested urban area was collected and fed into a tree stand structural complexity index, which was used to indicate ecological performance. Topographic variables (Topographic Wetness Index, slope, Area Solar Radiation and elevation)- were derived from a Digital Elevation Model (DEM) and used to predict SSC using the Partial Least Squares (PLS) regression technique. Results show that SSC varied significantly between the topographic variables. Results also show that the topographic variables could be used to reliably predict SSC. As expected, the Topographic Wetness Index and slope were the most important topographic determinants of SSC while elevation was the least valuable. These results provide valuable spatially explicit information about the ecological performance of the reforested areas within an urban landscape. Specifically, the study demonstrates the value of topographic data as aids to urban reforestation planning.     

华南花岗岩侵蚀区不同植被类型坡面土壤有机碳分布和团聚体稳定性

植物是影响土壤有机碳含量和土壤团聚体稳定性的重要因素。选取华南典型花岗岩侵蚀区荒草地、桉树林、湿地松林和木荷林4种植被类型径流小区的土壤为研究对象,分析测定不同坡位、不同土层深度的土壤有机碳特性和团聚体稳定性等指标,评价不同植被类型对土壤养分的分布特性以及团聚体稳定性差异,明确花岗岩侵蚀退化区较为理想的生态恢复措施,旨在为合理利用土壤、重建坡面植被和改善土壤结构提供科学依据。结果表明:土壤总有机碳(TOC)、全氮(TN)和溶解性有机碳(DOC)含量随土层加深逐渐降低,而林地小区土壤碳氮比(C/N)则相反,荒草地碳氮元素的坡面变异系数(CV)显著高于其他3种林地,其中桉树林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低40%,56.18%,68.5%和25.81%;湿地松林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低62.73%,33.71%,46.46%,58.06%;木荷林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低41.82%,38.2%,51.18%,48.39%,表明林地较荒草地更有利于土壤碳氮在坡面的均质化和有机质的积累。荒草地和木荷林地0.25 mm粒径以上的团聚体在上、中坡位的质量分数显著高于其他植被类型,而林下植被生物量较高的木荷林地的平均质量直径(MWD)和几何平均直径(GMD)显著高于其他植被类型。其中木荷小区水稳性团聚体平均质量直径(MWD)较荒草地、桉树和湿地松分别高20.10%,19.58%,23.20%;几何平均直径(GMD)较荒草地、桉树和湿地松分别高20.00%,19.54%,22.23%,表明在花岗岩侵蚀区林地空间结构较好的林草模式有利于土壤有机碳的积累和土壤结构的稳定。     

热带果蔬采后冷害研究进展

果蔬采后冷害机制及其防控是当前采后研究领域中倍受关注的科技问题。果蔬冷害发生是由内在因子和外部环境因素共同作用的结果。近年来,随着现代分子生物学技术的应用,并借鉴模式植物拟南芥的研究成果,果蔬采后冷害发生调控机理及防控技术研究取得一系列进展。本文综述了热带果蔬采后冷害发生的生理与分子机制和冷害防控技术的最新研究成果,关注能量代谢调控果蔬采后冷害作用,重点介绍了生物技术在防控果蔬冷害上的应用,并对今后研究方向作了展望。     

有棱丝瓜的氮、磷、钾适用量研究

丝瓜是华南地区重要瓜类蔬菜品种,为获得其合理的氮、磷、钾肥施用量,拟通过珠江三角洲3个代表性蔬菜基地开展丝瓜氮、磷、钾肥效田间试验,获得肥料效应方程,求取最佳施肥量。试验结果表明,丝瓜获得高产和高效益要求氮、磷、钾合理配施;佛山、江门、广州3个试验点的理论施肥量N分别为15.0、23.0、12.5 kg/667 m^2;P2O5分别为11.0、11.0、8.0 kg/667 m^2;K2O分别为16.0、17.0、13.0 kg/667 m^2;氮、磷、钾肥施用量与试验地土壤碱解氮、速效磷和速效钾含量有关,也与该地区产量水平的高低有关;一元二次效应方程中,3个试验点均是N效应的显著度相对最高;二元二次效应方程中,NP和NK效应的显著度较高,PK效应的显著度较低,说明氮素用量对丝瓜产量的影响大于磷素和钾素;3个试验点的三元二次效应方程中有2个达到极显著水平,说明试验结果基本可信。     

Effect of environmental C/N ratio on activities of lignin-degrading enzymes produced by Phanerochaete chrysosporium

Lignin-degrading enzymes secreted by white rot fungi play an important role in the degradation of lignin and persistent organic pollutants(POPs).In this study,effect of environmental C/N ratio on the activities of lignin-degrading enzymes,lignin peroxide(Li P)and manganese peroxidase(Mn P),produced by Phanerochaete chrysosporium,a white rot fungus,was investigated.Glucose was used as C source,and ammonium tartrate of different concentrations was used as N source to provide different C/N ratios.Relationships between Li P and Mn P activities and environmental C/N ratio were explored.The results showed that the higher the N source concentration,the faster the mycelium pellets aged.The faster the mycelium dry weight increased,the higher the Li P and Mn P activities.A high C/N ratio was a necessary condition for the secretion of Li P or Mn P.In addition,mycelium dry weight essentially affected enzyme activities.In the 122 C/N ratio and 50 C/N ratio treatments,mycelium dry weight essentially affected Mn P activity and both Li P and Mn P activities,respectively.     

基于迁移学习的棉花叶部病虫害图像识别

针对传统图像识别方法准确率低、手工提取特征等问题,该研究以棉花叶部病虫害图像为研究对象,利用迁移学习算法并辅以数据增强技术,实现棉花叶部病虫害图像准确分类。首先改进AlexNet模型,利用PlantVillage大数据集训练取得预训练模型,在预训练模型上使用棉花病虫害数据微调参数,得到平均测试准确率为93.50%;然后使用数据增强技术扩充原始数据集,在预训练模型上再训练,得到最终平均测试准确率为97.16%。相同试验条件下,该研究方法较支持向量机(Support Vector Machine,SVM)和BP(Back Propagation,BP)神经网络以及深度卷积模型(VGG-19和GoogLeNet Inception v2)分类效果更好。试验结果表明,通过迁移学习能把从源领域(PlantVillage数据集)学习到的知识迁移到目标领域(棉花病虫害数据集),数据增强技术能有效缓解过拟合。该研究为农作物病虫害识别技术的发展提供了参考。     

MeJA regulates enzymes involved in ascorbic acid and glutathione metabolism and improves chilling tolerance in loquat fruit

This study investigated the regulation of ascorbate acid (AsA) and glutathione metabolism and chilling tolerance by methyl jamonate (MeJA) in loquat fruit. The results showed that application of MeJA to loquat fruit inhibited the incidence of chilling injury manifested as internal browning (IB) and increased AsA and reduced glutathione (GSH) contents due to the inhibition of ascorbate oxidase activity and enhancement of monodehydroascorbate reductase, dehydroascorbate reductase and glutathione reductase activities. Meanwhile, MeJA also enhanced activities of ascorbate peroxidase, glutathione peroxidase and glutathione-S-transferase. Our results suggested that MeJA can regulate the ascorbate and glutathione metabolism and has important roles in alleviating oxidative damage and enhancing chilling tolerance in loquat fruit.     

基于ASP的植物光合色素计算程式的实现

利用网络编程ASP技术，综合编写了当前植物光合色素分析的多种计算程式，基本包括了业界所用到的各种参数；各类程式采用模块化设计，易于使用，方便维护；既有利于科研工作者快速得到计算结果，又为新的程式、参数的提出留了扩展空间。     

南昆山莪术的组培快繁技术研究

以南昆山莪术的根状茎腋芽为外植体,采用MS基本培养基,附加不同种类、不同浓度的植物生长调节剂,进行了不定芽诱导、丛生芽继代、试管苗生根等研究,探索其组织培养和离体繁殖的适宜务件。结果表明:在MS+6-BA 5.0 mg/L+NAA 0.1 mg/L培养基中,不定芽的诱导率最高,达到85%;MS+TDZ 0.5 mg/L培养基最有利于丛生芽的增殖,增殖系数达到13.60;试管苗生根以1/2MS+NAA 0.2 mg/L培养基最好;当试管苗长至6 cm时出瓶移栽,成活率可达95%以上。     

-蒎烯氧化制备诺蒎酸

利用水和叔丁醇的混合溶液作为反应的溶剂,用高锰酸钾氧化β-蒎烯制备诺蒎酸,考察了叔丁醇含量、高锰酸钾和碱用量以及温度对产物收率的影响.最佳反应条件:反应温度15～25 ℃,β-蒎烯、KMnO4、NaOH物质的量的比为1:3:1.5,用 30 % 的叔丁醇水溶液做溶剂,诺蒎酸的收率(质量分数)在 70.0 % 以上.