Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks

Lauraceae and Fagaceae are two large woody plant families that are predominant in the low- and middle-altitude regions in Taiwan. The highly interspecific similarity between some species of the family brings limitations on the management and utilization. This work proposed an approach for identifying 15 Lauraceae species and 20 Fagaceae species using leaf images and convolutional neural networks (CNNs). Leaf specimens of 35 species were collected from the northern, central, and southern parts of Taiwan. Images of the leaves were acquired using flat-bed scanners. Three CNN architectures—DenseNet-121, MobileNet V2, and Xception—were trained. Xception achieved the highest mean test accuracy of 99.39%, and MobileNet V2 required the shortest mean test time of 17.1 ms per image using a GPU. The saliency maps revealed that the characteristics learned by models matched the leaf features used by botanists. A pruning algorithm, gate decorator, was applied to the trained models for reducing the number of parameters and number of floating-point operations of the MobileNet V2 by 55.4% and 69.1%, respectively, while the model accuracy was maintained at 92.03%. Thus, MobileNet V2 has the potential to be used for identifying the Lauraceae and Fagaceae species on mobile devices.     

New triterpene saponins from the seed cake of Camellia Oleifera and their cytotoxic activity

Two new oleanane-type triterpene saponins, identified as 16α-hydroxy-22-O-angeloyl-23-formyl-28,31-dihydroxymethylene-olean-12-ene-3β-O-{β-d-galactopyranosyl-(1 → 2)[β-d-xylopyranosyl-(1 → 2)-α-l-arabinopyranosyl(1 → 3)]-β-d-glucopyranosiduronic acid} (oleiferasaponin B₁, 1) and 22-O-hydrocinnamoyl-23-formyl-28-dihydroxymethylene-olean-12-ene-3β-O-{β-d-glucopyranosyl-(1 → 2)[β-d-xylopyranosyl-(1 → 2)-α-l-arabinopyranosyl(1 → 3)]-β-d-glucopyranosiduronic acid} (oleiferasaponin B₂, 2), were isolated from the seed cake of Camellia oleifera Abel. Their structures were established by extensive 1D- and 2D-NMR experiments along with TOF-MS analysis and acid hydrolysis. The cytotoxicity of the isolated compounds was evaluated in four human carcinoma cell lines: A 549, SK-OV-3, SK-MEL-2 and HCT15. Both compounds 1 and 2 exhibited significantly cytotoxic activity with IC₅₀ values of 18.5 μM (A549), 11.3 μM (SK-OV-3), 13.9 μM (SK-MEL-2) and 1.6 μM (HCT15) for 1 and IC₅₀ values of 8.4 μM (A549), 6.3 μM (SK-OV-3), 9.2 μM (SK-MEL-2) and 0.8 μM (HCT15) for 2. In addition, compound 2 showed more effective cytotoxic activity than compound 1.     

外源物质对灵芝多糖和β-葡聚糖发酵的影响

研究了14种外源物质（化合物）对灵芝细胞生长和发酵合成多糖和β-葡聚糖的影响。结果表明,连翘水提物（3g/L）对灵芝细胞生长具有显著促进作用;薏苡仁酯（3g/L）对灵芝胞内多糖和β-葡聚糖的合成均具有促进作用;而桔梗水提物、硝酸铈铵、硝酸镨、茉莉酸甲酯和硝普钠对灵芝细胞生长和产物合成均具有抑制作用。进一步通过Box-Behnken试验设计和响应面法分析,建立了添加薏苡仁酯发酵产β-葡聚糖的二次多项式模型,经分析得到产β-葡聚糖的最优条件为：薏苡仁酯添加量10.5g/L、接种量16%、添加时间第88小时、发酵初始pH 7.00。在此条件下获得β-葡聚糖的产量可达(40.67±8.43)mg/L,与未添加薏苡仁酯的对照组相比,提高了41.86%;多糖产量为(0.99±0.21)g/L,与对照组相比,提高了31.99%。结果提示所得添加薏苡仁酯的优化条件可定向诱导灵芝β-葡聚糖的合成,同时也表明在灵芝液体发酵体系中添加薏苡仁酯发酵产多糖和β-葡聚糖具有一定的实用价值。     

Highly efficient regeneration and medicinal component determination of Phellodendron chinense Schneid

Phellodendron chinense Schneid is an important Chinese herb with berberine and phellodendrine in stems and leaves, but with little information available on in vitro culture of this species. Disinfection of explants in 75% alcohol for 45 s, sterilization in 0.1% HgCl₂ for 20 min, and submersion in 1.0 mol L⁻¹ gibberellin3 (GA₃) solution for 24 h was the optimal condition for seed germination. Murashige and Skoog’s (MS) medium supplemented with 2.0 mg L⁻¹ 6-benzylaminopurine (6-BA) in combination with 1.5 mg L⁻¹ 1-naphthylacetic acid (NAA) was optimal for callus induction. MS medium supplemented with 2.0 mg L⁻¹ 6-BA was the appropriate medium for induction of adventitious shoots, and 1/2MS medium supplemented with 2.0 mg L⁻¹ indole-3-butytric acid (IBA) and 0.5% active carbon was the optimal medium for root induction. The 15-d survival rate of regenerated plantlets after transplanting to basins containing perlite and peat moss (1:4) was greater than 80%, and the berberine and phellodendrine accumulation was lower in callus compared with regenerated plantlets. The establishment of highly efficient regeneration system provides technical support for genetic breeding of Phellodendron chinense Schneid.

     

基于综合评价法的洞庭湖区绿地生态网络构建

绿地生态网络对于改善区域生态空间破碎化、生物多样性降低、生态系统服务供需不平衡及保障区域生态安全具有重要意义。本研究以洞庭湖区为例,在3S技术支持下,从生态系统服务功能、潜在生物多样性、形态空间格局的角度综合评价和识别生态源地及计算栅格单元的基本生态阻力;利用夜间灯光指数修正基本生态阻力;运用最小累积阻力模型识别生态廊道;构建加权评价模型,对源地的聚合度、离散度及廊道的生态连接贡献度进行评价;利用结构特征指数对综合网络、“源-汇”潜在网络及规划网络进行对比分析和评价。结果表明: 源地空间分布不均衡,林地、灌丛与水域三者面积之和占源地总面积的95.9%,位于研究区中部的洞庭湖湿地生态风险较高;源地离生态网络系统中心位置越近及到其他源地的平均最小累积阻力越小,聚合及离散的优势越强;高生态质量源地周围的中、高生态质量源地分布越密集,其聚合度、离散度越高;廊道离高生态质量的源地越近,表现为生态连接贡献度越大;林地、灌丛,尤其是河道在自然生态系统与人类社会系统之间起着非常重要的生态连接作用;“源-汇”规划绿道对“源-汇”潜在生态廊道形成了良好补充,与“源-汇”潜在网络相比,综合网络的α、β、γ、ρ指数分别提高123.1%、25.8%、26.2%、74.6%;与“源-汇”规划网络相比,α、β、γ、ρ指数分别提高了190.0%、31.1%、32.5%、114.6%。本研究结果能为洞庭湖区绿地生态网络构建、国土空间规划提供参考。     

云南48种木兰科野生植物资源遗传多样性研究

为了解云南省木兰科（Magnoliaceae）野生植物资源的遗传多样性,利用ISSR分子标记技术对48种木兰科野生植物资源进行研究。结果表明,10对引物共扩增出151条带,均为多态性条带,多态性条带百分率为100%。总的观测等位基因数（N_a）为2.000 0,有效等位基因数（N_e）为1.564 5,Nei’s基因多样性指数（H）0.337 9,Shannon’s信息指数（I）为0.510 1。总的基因多样性指数（H_t）为0.368 0,属间基因多样性指数（D_st）为0.251 9,占68.4%,基因分化系数（G_st）为0.684 0,基因流（N_m）为0.231 0。UPGMA聚类分析将48种木兰科植物划分为7个类群,各类群并非按照属聚在一起,而是不同属植物相间分布,长喙厚朴（Magnolia rostrata）、素黄含笑（Michelia flaviflora）和球花含笑（M.sphaerantha）可能为云南省木兰科植物中的原始种。48种木兰科野生植物总体具有较高的遗传多样性,但属间遗传变异较高,基因流较小,存在遗传漂变的风险,聚类结果与刘玉壶的分类系统存在分歧,这从分子水平为木兰科植物间的起源、进化与分类提供了重要依据。     

市县级限制开发区环境功能区划研究——以河北省张家口市为例

限制开发地区是我国主体功能区划中划定的提供重要生态功能和农产品的地区,对其进行环境功能区划对于推动环境功能区划制度落地与实施,以及限制开发区的保护与发展有着重要意义。当前国家及省级的环境功能区划研究已经相对成熟,而市县尺度的限制开发地区环境功能区划相关研究较少。在总结现有环境功能区划研究方法的基础上,以河北省张家口市为例,探讨了市县级限制开发地区环境功能区划体系设计和技术方法,提出了以公里格网作为分析单元,结合县域行政边界,基于环境功能综合评价的结果,从自然生态安全、维护人群健康和区域环境支撑能力等3个方面,开展环境功能区划。基于该方法,将张家口市分为自然生态保留区、生态功能保持区、生态功能恢复区、农产品安全保障区、环境开发准入区、聚居发展维护区6类环境功能区,并根据各环境功能区的主要功能及生态环境特点提出相应的发展建议,以期为该区域管理提供可行的操作手段。本文提出的方法也可为其他限制开发地区的环境功能区划提供参考。     

火干扰强度对亚热带四种森林类型土壤理化性质的影响

火干扰是通过改变土壤理化性质而影响土壤生态系统功能的重要因素之一。探讨火干扰强度对不同森林类型下土壤理化性质的影响,为利用火干扰促进林分更新及经营提供理论指导。2014年在湖南省株洲市和湘潭市4种次生林(枫香次生林、马尾松-木荷混交林、杉木-木荷混交林及檫木-杉木混交林)内设置16块20 m×20 m样地进行试验,研究了火干扰强度(对照、低强度、中强度、高强度火烧)和林分类型对土壤容重(BD)、土壤斥水性(SWR)、有机质(SOM)、pH、全氮(TN)、全磷(TP)和全钾(TK)的影响。通过描述性统计分析、单因素方差分析和Fisher LSD检验研究各土壤性质在同一林分不同火干扰间,以及同一火干扰下不同林分间的显著性差异和变化趋势(P0.05)。研究发现BD、SWR、pH、TK都随火强度的增大呈上升的趋势,而SOM、TP随火强度增大而减少,TN则随火强度增大没有规律性变化。在同一林分内与对照组相比,低强度火烧对BD、SWR、pH和SOM的影响不显著,中强度有一定影响,而高强度火烧影响显著;而TN、TP、TK在火烧前后均无显著性差异。火干扰后,TN和TP在同一火强度下不同林分间均存在显著性差异(P0.05),而BD、pH值和TP在同一林分内不同火强度间均存在显著性差异(P0.05)。BD、SOM、pH、TK在枫香次生林内普遍显著大于其他林分。结果说明火干扰强度和林分类型在影响土壤理化性质方面起着重要作用。高强度火干扰对土壤性质影响最大,枫香次生林中土壤理化性质与其他混交林相比普遍存在显著性差异。BD、pH和TP受火强度影响显著,BD、SOM、pH、TN、TK和TP受林分类型影响显著。     

Anatomy and lignin deposition of stone cell in Camellia oleifera shell during the young stage

Protoplasma - As the by-products of edible oil production with rich lignin, the reserves of Camellia oleifera shell were abundant and had a great economic value. Lignin was the most important...