观赏藤本植物蛇藤的引种栽培及园林应用(简报)

本文描述了新近引种的观赏藤本植物蛇藤的形态特征,简要介绍其繁殖和栽培管理技术要点以及在园林绿化中的应用。     

阿拉善荒漠灌木根际中、微量元素含量特征

探讨了阿拉善干旱荒漠区霸王、白刺、红砂、沙冬青、沙木蓼、梭梭和驼绒藜7种旱生灌木根际与非根际土壤Ca、Mg、Fe、Mn、Zn、Cu的含量特征.结果表明:(1)除梭梭根际pH值高于非根际之外,其余6种灌木根际土壤均表现出不同程度的酸化作用.(2)7种灌木根际全钙和交换性钙的含量均低于非根际.除沙木蓼和驼绒藜外,其余5种灌木根际全镁含量均高于非根际,白刺的富集率最高,为43.04%;除沙木蓼外,其余灌木根际交换性镁的含量均有所富集,梭梭的富集率最高,为26.52%.(3)7种灌木根际全铁、全锰、全锌含量总体上小于非根际,但是根际有效铁、有效锰、有效锌含量均大于非根际,表现出明显的富集效应,沙木蓼根际有效铁、有效锰、有效锌的富集率最高,分别为:29.76%、20.92%、86.99%.(4)沙木蓼根际全铜和有效铜含量略高于非根际.梭梭根际全铜含量低于非根际,但梭梭根际有效铜含量却有富集的趋势.其余五种灌木根际全铜和有效铜含量均低于非根际.(5)根际及非根际土壤各养分性状之间,存在复杂的相关性.     

秦岭火地塘林区油松林下主要灌木碳吸存

林下灌木是森林生态系统的重要组成部分,在维持森林碳平衡中发挥着重要作用.为估算林下灌木的固碳功能,采用TOC-VT H-2000A型TOC/TON分析仪,测定了油松林下主要灌木不同器官的含碳率;根据野外实测资料,建立了油松群落内主要灌木测树因子与其器官生物量的回归模型;计算了2006年和2007年,灌木层CO2年吸存量.结果表明:5种灌木叶、茎、根和皮的平均含碳率为:41.80%～46.25%,39.24%～49.22%,39.56%～46.71%和36.65%～48.23%;刚毛忍冬(Lonicera Hispida pall)各器官的含碳率最高,栓翅卫矛(Euonymus alatus)的叶和茎,白檀 (Symplocos paniculata)的根和皮含碳率最低;不同灌木同一器官和同一灌木不同器官的含碳率均存在显著差异;不同灌木同一器官平均含碳率差值最高达10.58%,同一灌木不同器官平均含碳率差值最高达6.47%;模拟显示:灌木器官的生物量和测树因子间的关系可用复合式、幂、二次方程、三次方程、对数方程、指数方程和倒数方程来描述;残差和误差分析表明,均方差根不大于1.70,模型有效性指数均接近于1,残差系数均接近于0,灌木根、茎、叶和皮的生物量模型估计值与实测值间相对误差的绝对值分别为3.89%～8.58%,0.57%～6.84%,4.69%～9.09%和4.50%～7.03%.回归模型的决定系数(R2)都在0.90以上,估计精度在95%以上,建立的油松群落内主要灌木测树因子与其器官生物量的回归模型,具有较高的估计精度和较好的适用性;研究区2006～2007年,主要灌木CO2年吸存量为10.138 Mghm-2.     

封面植物简介--绵刺

绵刺（Potaninia mongolica Maxim．）隶属于蔷薇科绵刺属,只含有绵刺1种。它以花萼3、副萼3、花瓣3、雄蕊3等性状而区别于蔷薇科任何其它属的植物,有“三瓣蔷薇”之美称。其茎多分枝,具宿存、坚硬而成刺状的老叶柄;叶为三出复叶;小叶革质,顶生小叶3全裂,裂片与侧生小叶同形,全缘,两面具长绢毛;叶柄短、坚硬,宿存;托叶膜质,贴生于叶柄。花单生叶腋,花瓣白色或浅粉红色;雄蕊短于花瓣;子房上位,长卵圆形,密生绢毛,花柱基生。瘦果长圆形,淡黄色,为宿存萼筒所包被。绵刺为强旱生小灌木植物,主要生长于具有薄层覆沙的沙砾质荒漠、山前洪积扇和山问谷地,常形成绵刺群落,是沙砾质荒漠的建群种。     

《中国长白山观赏植物彩色图志》书评

长白山的野生观赏植物色泽艳丽、风姿绰约、香馨四溢,是大自然恩赐给人类的一笔巨大的财富和珍贵的遗产,是重要园林观赏植物的种质源。她们有的扎根在悬崖峭壁之上,有的密藏于莽莽的林海之中,有的分布在江河溪流两岸,有的盛开于田野阡陌之间……这里既有本地区的特有植物如长白     

福建厦门地区棕榈科植物资源及其园林应用

调查了厦门地区棕榈科植物资源状况及其绿化应用,并结合多年来对厦门市园林植物园棕榈植物保育中心内棕榈科植物的物候期观察,选出适合厦门地区推广应用的棕榈科植物104种,同时对厦门地区棕榈科植物应用的种类、数量、分布以及应用频度等进行统计分析。     

青海湖流域具鳞水柏枝植物水分利用氢同位素示踪研究

具鳞水柏枝(Myricaria squamosa)是我国高寒地区广泛分布的优势河谷灌木, 具有维持河谷湿地系统稳定的功能。然而, 目前国内外有关具鳞水柏枝水分利用来源的定量研究很少。该文运用氢稳定同位素示踪方法, 分析了青海湖流域具鳞水柏枝茎(木质部)水和潜在水源(地下水、河水和土壤水)的氢稳定同位素比率(δD)的季节变化, 发现具鳞水柏枝在不同水文环境下的植物水分利用来源有明显差异。研究结果表明, 生长在河岸边的具鳞水柏枝在6、7月主要利用地下水与河水, 分别占其所利用水分的89%、86%和55%、65%, 8月主要利用0-20 cm土层的土壤水, 9月水源不详。生长在离河岸约100 m处的具鳞水柏枝在6月主要利用地下水与河水(91%、70%), 在7-9月以0-60 cm土层的土壤水为主要水源。这表明生长在河岸边的具鳞水柏枝对地下水和河水的依赖程度较高, 而距离河岸约100 m时对土壤水的利用量较多, 反映出生长在不同生境中的具鳞水柏枝对特定水分条件的特殊适应结果。     

宁夏平原北部地下水埋深浅地区不同灌木的水分来源

宁夏平原北部引黄灌区地下水埋深浅是该地区土壤盐碱化的主要原因, 种植耐盐植物可以吸收利用地下水, 在降低地下水位的同时可以减少对地面灌溉的依赖。为了分析银川平原北部4种灌木对不同水源的利用特征, 于2010年生长季测定了灌溉前后20年生多枝柽柳(Tamarix ramosissima)、3年生多枝柽柳、3年生宁夏枸杞(Lycium barbarum)和3年生四翅滨藜(Atriplex canescens)木质部水及不同潜在水源稳定氧、氢同位素组成(δ¹⁸O和δD), 应用IsoSource同位素线性混合模型估算了不同灌木对不同水源的利用率。同时测定了0-200 cm土壤剖面的全盐含量、含水量和pH值以及灌溉前后光合气体交换参数。结果表明: 不同深度土壤水δ¹⁸O和δD值存在较大差异, 并呈规律性变化。土壤水δ¹⁸O和δD值随深度加深呈逐渐降低的趋势。灌溉后80 cm以上土壤水δ¹⁸O和δD值低于灌溉前。无论灌溉前还是灌溉后, 20年生多枝柽柳与3年生灌木相比具有更低的δ¹⁸O和δD值。灌溉前, 3年生多枝柽柳、宁夏枸杞和四翅滨藜主要利用表层土壤水(70.1%、52.3%和48.9%); 20年生多枝柽柳对地下水的利用率最高(21.5%)。灌溉后, 3年生多枝柽柳和宁夏枸杞对80-140 cm土壤水利用率较高(59.5%和58.8%)。20年生多枝柽柳对地下水的利用率最高(18.3%)。灌溉前, 20年生多枝柽柳净光合速率、气孔导度和蒸腾速率显著高于其他3种灌木, 灌溉后3年生四翅滨藜净光合速率最高。灌溉对3年生多枝柽柳和宁夏枸杞的净光合速率和气孔导度有显著影响。无论灌溉前还是灌溉后, 3年生四翅滨藜瞬间水分利用效率均高于其他3种灌木。研究表明, 不同灌木在不同水分条件下水分利用策略不同, 这主要与植物种类及树龄有关。灌溉前幼龄多枝柽柳凭借其对干旱较强的忍耐能力利用浅层不饱和土壤水, 灌溉后其又转而利用中层土壤水, 表现出潜水湿生植物的特征, 主要吸收利用深层土壤水分, 对灌溉反应不明显。     

Temporal and spatial variation characteristics of China shrubland net primary production and its response to climate change from 2001 to 2013

Aims Net primary production (NPP) is the input to terrestrial ecosystem carbon pool. Climate and land use change affect NPP significantly. Shrublands occupy more than 20% of the terrestrial area of China, and their NPP is comparable to those of the forests. Our objective was to estimate China shrubland NPP from 2001 to 2013, and to analyze its variation and response to climate change.Methods We used a Carnegie-Ames-Stanford Approach (CASA) model to estimate the NPP of six shrubland types in China from 2001 to 2013. Furthermore, we used Theil-Sen slope combined with Mann-kendall test to analyze its spatial variation and a linear regression of one-variable model to analyze its inter- and intra-annual variation. Finally, a multi-factor linear regression model was used to analyze its response to climate change.Important findings We found the annual mean NPP of China shrubland was 281.82 g•m^-2•a^-1. The subtropical evergreen shrubland has the maximum NPP of 420.47 g•m^-2•a^-1, while the high cold desert shrubland has the minimum NPP of 52.65 g•m^-2•a^-1. The countrywide shrublands NPP increased at the rate of 1.23 g•m^-2•a^-1, the relative change rate was 5.99%. The temperate deciduous shrubland NPP increased the fastest with a speed of 3.05 g•m^-2•a^-1 and subalpine evergreen shrubland had a decreasing trend with a speed of -0.73 g•m^-2•a^-1. Moreover, the other four shrublands NPP had a growing trend, only subalpine deciduous shrubland NPP did not change significantly. The response of NPP to climate change of different seasons varies to different shrubland types. In general, the NPP variation was mainly affected by precipitation, and the spring warming also contributed to it. The increase of countrywide shrubland NPP may promote its contribution to the regional ecosystem function.     

Biomass estimation models and allocation patterns of 14 shrub species in Mountain Luya,Shanxi, China

Aims Shrub species have evolved specific strategies to regulate biomass allocation among various organs or between above- and belowground biomass and shrub biomass model is an important approach to estimate biomass allocation among different shrub species. This study was designed to establish the optimal estimation models for each organ (leaf, stem, and root), aboveground and total biomass of 14 common shrub species in Mountain Luya, Shanxi Province, China. Furthermore, we explored biomass allocation characteristics of these shrub species by using the index of leaf biomass fraction (leaf to total biomass), stem biomass fraction (stem to total biomass), root biomass fraction (root to total biomass), and root to shoot mass ratio (R/S) (belowground to aboveground biomass).
Methods We used plant height, basal diameter, canopy diameter and their combination as variables to establish the optimal biomass estimation models for each shrub species. In addition, we used the ratios of leaf, stem, root to total biomass, and belowground to aboveground biomass to explore the difference of biomass allocation patterns of 14 shrub species.
Important findings Most of biomass estimation models could be well expressed by the exponential and linear functions. Biomass for shorter shrub species with more stems could be better estimated by canopy area; biomass for taller shrub species with less stems could be better estimated by the sum of the square of total base diameter multiply stem height; and biomass for the rest shrub species could be better estimated by canopy volume. The averaged value for these shrub species was 0.61, 0.17, 0.48, and 0.35 for R/S, leaf biomass fraction, stem biomass fraction, and root biomass fraction, respectively. Except for leaf biomass fraction, R/S, stem biomass fraction, and root biomass fraction for shrubs with thorn was significantly greater than that for shrubs without thorn.