The vertical distribution of N and K uptake in relation to root distribution and root uptake capacity in mature Quercus robur, Fagus sylvatica and Picea abies stands

We have measured the uptake capacity of nitrogen (N) and potassium (K) from different soil depths by injecting ¹⁵N and caesium (Cs; as an analogue to K) at 5 and 50 cm soil depth and analysing the recovery of these markers in foliage and buds. The study was performed in monocultures of 40-year-old pedunculate oak (Quercus robur), European beech (Fagus sylvatica) and Norway spruce (Picea abies (L.) Karst.) located at an experimental site in Palsgård, Denmark. The markers were injected as a solution through plastic tubes around 20 trees of each species at either 5 or 50 cm soil depth in June 2003. After 65 days foliage and buds were harvested and the concentrations of ¹⁵N and Cs analysed. The recovery of ¹⁵N in the foliage and buds tended to be higher from 5 than 50 cm soil depth in oak whereas they where similar in spruce and beech after compensation for differences in immobilization of ¹⁵N in the soil. In oak more Cs was recovered from 5 than from 50 cm soil depth whereas in beech and spruce no difference could be detected. Out of the three investigated tree species, oak was found to have the lowest capacity to take up Cs at 50 cm soil depth compared to 5 cm soil depth also after compensating for differences in discrimination against Cs by the roots. The uptake capacity from 50 cm soil depth compared with 5 cm was higher than expected from the root distribution except for K in oak, which can probably be explained by a considerable overlap of the uptake zones around the roots and mycorrhizal hyphae in the topsoil. The study also shows that fine roots at different soil depths with different physiological properties can influence the nutrient uptake of trees. Estimates of fine root distribution alone may thus not reflect the nutrient uptake capacity of trees with sufficient accuracy. Our study shows that deep-rooted trees such as oak may have lower nutrient uptake capacity at deeper soil layers than more shallow-rooted trees such as spruce, as we found no evidence that deep-rooted trees obtained proportionally more nutrients from deeper soil layers. This has implications for models of nutrient cycling in forest ecosystems that use the distribution of roots as the sole criterion for predicting uptake of nutrients from different soil depths.     

弄岗北热带喀斯特季节性雨林15hm2动态监测样地树木死亡特征分析

以广西弄岗北热带喀斯特季节性雨林15 hm²森林动态监测样地为对象,结合2011年和2016年两次调查数据,分析5年间样地树木死亡个体的数量、径级结构和空间格局特征等。结果显示:2011年至2016年,样地有86.5%的树种出现了个体死亡的现象,死亡个体占个体总数的14.4%;死亡个体的聚集程度随空间尺度的增大而逐渐减弱;小径级个体死亡与周边邻体和环境的关联性较大;竞争是影响弄岗北热带喀斯特季节性云林树木死亡的主要因素。综合来看,北热带喀斯特季节性雨林内树木死亡并非是一个完全随机的过程,而是树木本身特征和生物与非生物环境共同作用的结果。     

树鼩主动脉内皮细胞株的建立及其生物学特性的研究

将树鼩胸主动脉分层剥离,用组织块贴壁法,体外培养出主动脉内皮细胞,历经一年,传至23代,命名为TSaec-8910。倒置显微镜下细胞单层生长,呈铺路石样镶嵌排列,第Ⅷ因子相关抗原阳性,透射电镜观察,细胞质内未找到Weibel-Palade小体。细胞生长曲线及分裂指数示9～12d汇合成单层,按1:2或1:3传代,传代间隔为lO～14d,细胞冻存复苏后接种存活率为31.5％,细胞染色体检查为二倍体细胞,2n=62,雄性。内皮细胞生长因子、上皮细胞生长因子、条件培养基和附着底物对TSaec-8910细胞有明显影响,细胞在玻璃瓶壁上贴壁时间为24～18h,而在涂有鼠尾胶瓶壁则为4h左右,内皮细胞生长因子、上皮细胞生长因子能促进TSaec-8910细胞贴壁和增殖,20％TSaec-8910细胞条件培养基亦能良好地维持细胞形态。     

广东黑石顶南亚热带常绿阔叶林树木生长研究(英文)

用测树器和年轮解析法 ,测定了广东黑石顶南亚热带常绿阔叶林的立木和幼树的径向生长和高生长。年轮解析法测得立木的年直径生长量在 0 .1～ 0 .5cm之间 ,一些立木的直径生长呈现出生长快的年份 ( 1～ 3a)和生长慢的年份 ( 1～ 3a)交替的节律。测树器测得立木 5a的年平均直径生长量为0 .0 74cm,5年期间测得有 1 7.6%的个体直径为零增长或负增长。立木的年高增长量为 1 0～ 50 cm,高生长高峰期通常在 1 0～ 30年龄。在树木生长的早期 ,高度的生长优于直径的生长 ,而在树木生长的中、后期 ,直径的生长逐渐优于高度的生长。用游标卡尺和卷尺测得幼树 (通常 1～ 3m高 )的直径和高度 5a的平均生长量分别为 0 .1 0 7cm和 4.76cm。 5a间没有幼树的直径生长为零增长或负增长 ,但约有 9%的个体的高度生长为零增长或负增长。     

How does forest landscape structure explain tree species richness in a Mediterranean context?

Although the strong relationship between vegetation and climatic factors is widely accepted, other landscape composition and configuration characteristics could be significantly related with vegetation diversity patterns at different scales. Variation partitioning was conducted in order to analyse to what degree forest landscape structure, compared to other spatial and environmental factors, explained forest tree species richness in 278 UTM 10 × 10 km cells in the Mediterranean region of Catalonia (NE Spain). Tree species richness variation was decomposed through linear regression into three groups of explanatory variables: forest landscape (composition and configuration), environmental (topography and climate) and spatial variables. Additionally, the forest landscape characteristics which significantly contributed to explain richness variation were identified through a multiple regression model. About 60% of tree species richness variation was explained by the whole set of variables, while their joint effects explained nearly 28%. Forest landscape variables were those with a greater pure explanatory power for tree species richness (about 15% of total variation), much larger than the pure effect of environmental or spatial variables (about 2% each). Forest canopy cover, forest area and land cover diversity were the most significant composition variables in the regression model. Landscape configuration metrics had a minor effect on forest tree species richness, with the exception of some shape complexity indices, as indicators of land use intensity and edge effects. Our results highlight the importance of considering the forest landscape structure in order to understand the distribution of vegetation diversity in strongly human-modified regions like the Mediterranean.