Canopy closure estimation in a temperate forest using airborne LiDAR and LANDSAT ETM+ data

Aims　Forest canopy closure is one of the essential factors in forest survey, and plays an important role in forest ecosystem management. It is of great significance to study how to apply LiDAR (light detection and ranging) data efficiently in remote sensing estimation of forest canopy closure. LiDAR can be used to obtain data fast and accurately and therefore be used as training and validation data to estimate forest canopy closure in large spatial scale. It can compensate for the insufficiency (e.g. labor-intensive, time-consuming) of conventional ground survey, and provide foundations to forest inventory.Methods　In this study, we estimated canopy closure of a temperate forest in Genhe forest of Da Hinggan Ling area, Nei Mongol, China, using LiDAR and LANDSAT ETM+ data. Firstly, we calculated the canopy closure from ALS (Airborne Laser Scanning) high density point cloud data. Then, the estimated canopy closure from ALS data was used as training and validation data to modeling and inversion from eight vegetation indices computed from LANDSAT ETM+ data. Three approaches, multi-variable stepwise regression (MSR), random forest (RF) and Cubist, were developed and tested to estimate canopy closure from these vegetation indices, respectively.Important findings The validation results showed that the Cubist model yielded the highest accuracy compared to the other two models (determination coefficient (R²) = 0.722, root mean square error (RMSE) = 0.126, relative root mean square error (rRMSE) = 0.209, estimation accuracy (EA) = 79.883%). The combination of LiDAR data and LANDSAT ETM+ showed great potential to accurately estimate the canopy closure of the temperate forest. However, the model prediction capability needs to be further improved in order to be applied in larger spatial scale. More independent variables from other remotely sensed datasets, e.g. topographic data, texture information from high-resolution imagery, should be added into the model. These variables can help to reduce the influence of optical image, vegetation indices, terrain and shadow and so on. Moreover, the accuracy of the LiDAR-derived canopy closure needs to be further validated in future studies.     

磷酸肌醇激酶FAB1调控拟南芥根毛伸长

FAB1/PIKfyve是介导PI(3,5)P₂ (磷脂酰肌醇3,5-二磷酸)生物合成的磷酸肌醇激酶。在动物和酵母(Saccharomyces cerevisiae)中, PI(3,5)P₂参与调控胞内膜运输, 但在植物中的研究较少。该文通过分析拟南芥(Arabidopsis thaliana) FAB1的T-DNA插入突变体的表型解析PI(3,5)P₂的生物学功能。拟南芥FAB1基因家族包含FAB1A、FAB1B、FAB1C和FAB1D四个基因。研究发现, fab1a/b呈现雄配子体致死的表型。利用遗传杂交获得fab1b/c/d三突变体, 发现FAB1B、FAB1C和FAB1D功能缺失导致根毛相比野生型变短, 经FAB1特异性抑制剂YM201636处理后的野生型中也观察到相似的短根毛表型。此外, fab1b/c/d三突变体中DR5转录水平降低。同时, 外源施加生长素类似物2,4-D和NAA能部分恢复fab1b/c/d植株短根毛的表型, 但fab1b/c/d突变体对生长素转运抑制剂(1-NOA和TIBA)的敏感性与野生型相似。此外, FAB1B/C/D功能缺失使根毛中ROS的含量减少且影响肌动蛋白的表达。上述结果表明, FAB1B/C/D通过调控生长素分布、ROS含量和肌动蛋白的表达影响拟南芥根毛伸长。     

拟南芥细胞壁关联蛋白激酶融合表达及多克隆抗体的制备

为了研究拟南芥中细胞壁关联蛋白激酶1(WAK1)基因功能,通过RT-PCR得到WAK1 cDNA片段,将其亚克隆至pET28a表达载体中进行表达,获得融合蛋白.用纯化的融合蛋白pET28aWAK1免疫家兔,得到抗WAK1抗体.Western blot结果显示该抗体能特异识别在原核表达系统内表达的抗原,抗WAK1的抗体对拟南芥中的WAK1蛋白具有高度的特异性.     

Prd29A及DREB1A的克隆和干旱诱导型植物表达载体的构建与鉴定

从拟南芥中克隆了RD29A基因的启动子(Prd29A)及DREB1M基因的DNA片段,构建Prd29A:DREB1A融合基因,采用合成的接头将该融合基因插入到植物表达载体pBI121中,经鉴定,确认正确.     

移栽基质对赤桉试管苗移栽成活和苗木生长的影响

赤桉(Eucalyptus camaldulensis Dehnh)试管苗由本校组培室提供.花盆以0.1%高锰酸钾消毒,用塑料薄膜保湿.用4种移栽基质移栽:(1)黄土:河砂=5:3,(2)黄土:珍珠岩=2:1,(3)黄土:火土灰:珍珠岩=1:1:1,(4)黄土:河砂:腐殖土=3:1:1.每花盆装半盆基质,重复4次.     

胰岛素基因的转录调控

胰岛素基因的转录是一个十分复杂的网络式调控过程,主要通过该基因上游调控序列的启动子、增强子与转录因子复合物的相互作用来实现;多种证据表明胰岛因子1可能参与其中,对其具体机制的研究将是该领域的研究方向之一。     

基于Cyt b基因探讨羚羊亚科原羚属系统发生关系

原羚属物种在羚羊亚科中的分类地位尚存在很多争议。本文测定了原羚属的黄羊和藏原羚细胞色素b基因全序列(1140bp),并与牛科其它属31个种的同源序列进行比较,对其碱基组成变异情况及核苷酸序列差异进行了分析。基于细胞色素b基因全序列,用简约法(MP)、邻接法(NJ)和似然法(ML)构建了系统进化树。结果表明：黄羊和藏原羚的序列差异为3．78％,颠换数目近乎为0,其突变远未饱和;原羚属内黄羊和藏原羚为不同种,单系发生;原羚属与赛加羚羊属、犬羚属及跳羚属等并系发生,原羚属隶属于羚羊亚科,应为独立属;羚羊亚科组成属间多为并系起源。根据序列差异值2％／百万年的细胞色素6分子钟,推测黄羊和藏原羚分歧时间大约为1～2百万年;原羚属与羚羊亚科其它属分歧时间大约在5．7～8百万年。