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1.

Background and Aims

Resin ducts (RDs) are features present in most conifer species as defence structures against pests and pathogens; however, little is known about RD expression in trees following fire injury. This study investigates changes in RD size and density in fire scars of Douglas fir (Pseudotsuga menziesii) and western larch (Larix occidentalis) as a means to evaluate the ecophysiological significance of traumatic resinosis for tree defence and survival.

Methods

Transverse and tangential microsections were prepared for light microscopy and image analysis in order to analyse axial and radial RDs, respectively. Epithelial cells of RDs and fusiform rays associated with radial RDs were also examined. RDs were compared between normal xylem and wound xylem at four different section heights along the fire-injured stem.

Key Results

Following fire injury, P. menziesii axial RDs narrowed by 38–43 % in the first year after injury, and the magnitude of this change increased with stem height. Larix occidentalis axial RDs widened by 46–50 % in the second year after injury. Radial RDs were of equivalent size in P. menziesii, but widened by 162–214 % in L. occidentalis. Fusiform rays were larger following fire injury, by 4–14 % in P. menziesii and by 23–38 % in L. occidentalis. Furthermore, axial RD density increased in both species due to the formation of tangential rows of traumatic RDs, especially in the first and second years after injury. However, radial RD density did not change significantly.

Conclusions

These results highlight traumatic resinosis as a species-specific response. Pseudotsuga menziesii produce RDs of equivalent or reduced size, whereas L. occidentalis produce wider RDs in both the axial and radial duct system, thereby increasing resin biosynthesis and accumulation within the whole tree. Larix occidentalis thus appears to allocate more energy to defence than P. menziesii.  相似文献   
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3.
兴安落叶松结实规律与长短枝习性的关系   总被引:1,自引:0,他引:1  
1987年5月,大兴安岭林区发生的特大森林火灾,实属世界罕见,火灾面积达1.0×10~6ha 多。大量的火烧迹地亟待更新、无论是人工更新还是人工促进天然更新,其中关键的问题之一是种子的来源,在大兴安岭地区,兴  相似文献   
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Summary Cotyledonary somatic embryos ofLarix × leptoeuropaea that developed after various maturation times on media containing abscisic acid showed different frequencies of conversion into plants. Drying of these somatic embryos under high relative humidity (RH) before germination improved plantlet recovery and eliminated differences in the performance of somatic embryos matured for different times. However, dehydration of somatic embryos under 98% RH to a water content below that of zygotic embryos excised from mature seeds (0.97 and 1.36 g H2O/g dry weight, respectively) showed a strong positive correlation between longer maturation time and desiccation tolerance. Drying somatic embryos at 4° C under 59% RH for 1 wk resulted in desiccation to a water content of 0.30 g H2O/g dry weight, which was the closest to the hydration state of zygotic embryos in dried, stored seeds (0.20 g H2O/g dry weight). Under this condition, only somatic embryos matured for 5 wk germinated and produced plantlets at a relatively high frequency (73 and 41%, respectively).  相似文献   
6.
 树体储水在树木水分传输中具有重要的作用, 不仅为蒸腾提供水分来源, 还具有缓冲作用, 可防止木质部导管水势过低以至于水分传输的失败。树体储水动态及其利用的研究对于认识树木对水分胁迫的响应机制具有重要意义。该研究构建了包含树体储水释放-补充作用的树干水分传输模型, 可模拟计算林分小时尺度的冠层蒸腾、边材液流、树体储水与木质部导管水流交换过程, 并以六盘山北侧的华北落叶松(Larix principis-rupprechtii)人工林为例, 在林分水平分析树体储水利用及其 与土壤水分和潜在蒸散之间的关系。检验结果表明, 该模型能够精确地模拟出林分边材液流的日变化特征, 模拟与观测的小时液流速率决定系数R2为0.91 (n = 2 352)。模拟结果表明, 在典型晴朗天气下, 在日出时树体储水利用启动, 至9:00左右达到峰值(0.14 mm?h–1), 午间降至0, 下午降为负值直至午夜, 即进入树体补水阶段; 树体储水日使用量(DJz)为0.04–0.58 mm?d–1, 与日蒸腾量(DTr)成正相关(R2 = 0.91), 对蒸腾的贡献为25.6%。分析结果表明, 当潜在蒸散(ETp)低于4.9 mm?d–1时, ETp是华北落叶松树体储水利用的主要驱动因子, DJz与ETp成正相关(R2 = 0.68); 当ETp高于4.9 mm?d–1时, DJz随着ETp的增加呈现降低趋势; DJz与土壤水势没有显著相关关系(p > 0.05), 但最大树体储水日使用量(DJzmax)与土壤水分含量成正相关(R2 = 0.79), 说明土壤水分是树体储水利用的限制因子。  相似文献   
7.
Fine root turnover is a major pathway for carbon and nutrient cycling in terrestrial ecosystems and is most likely sensitive to many global change factors. Despite the importance of fine root turnover in plant C allocation and nutrient cycling dynamics and the tremendous research efforts in the past, our understanding of it remains limited. This is because the dynamics processes associated with soil resources availability are still poorly understood. Soil moisture, temperature, and available nitrogen are the most important soil characteristics that impact fine root growth and mortality at both the individual root branch and at the ecosystem level. In temperate forest ecosystems, seasonal changes of soil resource availability will alter the pattern of carbon allocation to belowground. Therefore, fine root biomass, root length density (RLD) and specific root length (SRL) vary during the growing season. Studying seasonal changes of fine root biomass, RLD, and SRL associated with soil resource availability will help us understand the mechanistic controls of carbon to fine root longevity and turnover. The objective of this study was to understand whether seasonal variations of fine root biomass, RLD and SRL were associated with soil resource availability, such as moisture, temperature, and nitrogen, and to understand how these soil components impact fine root dynamics in Larix gmelinii plantation. We used a soil coring method to obtain fine root samples (⩽2 mm in diameter) every month from May to October in 2002 from a 17-year-old L. gmelinii plantation in Maoershan Experiment Station, Northeast Forestry University, China. Seventy-two soil cores (inside diameter 60 mm; depth intervals: 0–10 cm, 10–20 cm, 20–30 cm) were sampled randomly from three replicates 25 m × 30 m plots to estimate fine root biomass (live and dead), and calculate RLD and SRL. Soil moisture, temperature, and nitrogen (ammonia and nitrates) at three depth intervals were also analyzed in these plots. Results showed that the average standing fine root biomass (live and dead) was 189.1 g·m−2·a−1, 50% (95.4 g·m−2·a−1) in the surface soil layer (0–10 cm), 33% (61.5 g·m−2·a−1), 17% (32.2 g·m−2·a−1) in the middle (10–20 cm) and deep layer (20–30cm), respectively. Live and dead fine root biomass was the highest from May to July and in September, but lower in August and October. The live fine root biomass decreased and dead biomass increased during the growing season. Mean RLD (7,411.56 m·m−3·a−1) and SRL (10.83 m·g−1·a−1) in the surface layer were higher than RLD (1 474.68 m·m−3·a−1) and SRL (8.56 m·g−1·a−1) in the deep soil layer. RLD and SRL in May were the highest (10 621.45 m·m−3 and 14.83m·g−1) compared with those in the other months, and RLD was the lowest in September (2 198.20 m·m−3) and SRL in October (3.77 m·g−1). Seasonal dynamics of fine root biomass, RLD, and SRL showed a close relationship with changes in soil moisture, temperature, and nitrogen availability. To a lesser extent, the temperature could be determined by regression analysis. Fine roots in the upper soil layer have a function of absorbing moisture and nutrients, while the main function of deeper soil may be moisture uptake rather than nutrient acquisition. Therefore, carbon allocation to roots in the upper soil layer and deeper soil layer was different. Multiple regression analysis showed that variation in soil resource availability could explain 71–73% of the seasonal variation of RLD and SRL and 58% of the variation in fine root biomass. These results suggested a greater metabolic activity of fine roots living in soil with higher resource availability, which resulted in an increased allocation of carbohydrate to these roots, but a lower allocation of carbohydrate to those in soil with lower resource availability. __________ Translated from Acta Phytoecologica Sinica, 2005, 29(3): 403–410 [译自: 植物生态学报, 2005, 29(3): 403–410]  相似文献   
8.
Questions: Can a statistical model be designed to represent more directly the nature of organismal response to multiple interacting factors? Can multiplicative kernel smoothers be used for this purpose? What advantages does this approach have over more traditional habitat modelling methods? Methods: Non‐parametric multiplicative regression (NPMR) was developed from the premises that: the response variable has a minimum of zero and a physiologically‐determined maximum, species respond simultaneously to multiple ecological factors, the response to any one factor is conditioned by the values of other factors, and that if any of the factors is intolerable then the response is zero. Key features of NPMR are interactive effects of predictors, no need to specify an overall model form in advance, and built‐in controls on overfitting. The effectiveness of the method is demonstrated with simulated and real data sets. Results: Empirical and theoretical relationships of species response to multiple interacting predictors can be represented effectively by multiplicative kernel smoothers. NPMR allows us to abandon simplistic assumptions about overall model form, while embracing the ecological truism that habitat factors interact.  相似文献   
9.
川西山地主要人工林种群根系生物量与生产力   总被引:9,自引:0,他引:9  
采用标准地法,对四川西部山地主要人工林的根系进行了研究,结果表明(1)用D2H估测单株林木根系生物量的适合模型均以幂函数模型为最佳,所筛选统计模型的相关系数较高,在0.94~0.99之间;(2)根系总生物量大小排序为日本落叶松>峨眉冷杉>四川红杉>川西云杉,分别为37.832、24.907、18.320t/hm2和15.982 t/hm2,各级根的生物量占总根量的比例各不相同;(3)根系生物量集中在分布土层0.00~40.00cm,川西云杉占97.88%,四川红杉占96.78%,峨眉冷杉占95.65%,日本落叶松占99.72%;尤其在0.00~20.00cm土层分布的根最多,分别占77.13%,77.13%,65.02%和80.66%;在0.00~20.00cm,20.00~40.00cm和40.00~60.00cm的各层根系生物量分配比例,川西云杉为34121,四川红杉为2461,峨眉冷杉为1571,日本落叶松为63141;(4)川西云杉、四川红杉、峨眉冷杉和日本落叶松人工林种群根系的生物量密度分别为10.782t/(hm2·m),8.230t/(hm2·m),14.546 t/(hm2·m)和13.211 t/(hm2·m);(5)川西云杉、四川红杉、峨眉冷杉和日本落叶松人工林种群根系生产力分别为0.57、0.83、0.71 t/(hm2·a)和1.64 t/(hm2·a).  相似文献   
10.
三种温带树种非结构性碳水化合物的分配   总被引:4,自引:0,他引:4       下载免费PDF全文
 树体中的非结构性碳水化合物(NSC)浓度、含量及其分配反映了树木整体的碳供应状况, 是决定树木生长和存活的关键因子, 也是构建树木碳平衡模型的关键参数。温带树种的NSC尚缺乏系统研究。该文测定了特性各异的3种温带树种在生长盛期的NSC及其组分的浓度和含量以及分配格局的种间种内变异。结果表明, NSC及其组分的浓度在树种和组织之间差异显著, 可溶性糖、淀粉和总NSC浓度分别在0.65–8.45、1.96–5.95和3.00–13.90 g·100 g–1 DM之间波动。NSC及其组分含量的大小依次为: 兴安落叶松(Larix gmelinii) >蒙古栎(Quercus mongolica) >红松(Pinus koraiensis), 其中叶和根中的浓度较高。树干中的NSC及其组分浓度的纵向变化不显著, 但其心材与边材之间的浓度差异却随树种和NSC组分而异, 表现为心边材的可溶性糖浓度差异不显著, 但其淀粉和总NSC浓度差异显著。不同直径根系的NSC及其组分浓度在2种针叶树种中差异不显著, 但在蒙古栎中差异显著。蒙古栎将可溶性糖主要投资到地上生长, 而2种针叶树将更多的可溶性糖投资到根系生长。淀粉的主要储存库为树干, 其在树体内的分布格局与可溶性糖正相反, 因而使总NSC在树根和树枝中的分配趋于较平衡状态。在树干中, 除了2种针叶树的可溶性糖库以边材为主外, 心材是淀粉和总NSC的主要储存库。在树根中, 粗根是NSC及其组分的优势储存库。该研究中3种温带树种的NSC及其组分的浓度和含量的种间和种内变化, 反映了这些树种的生长对策和体内碳源汇强度的差异。  相似文献   
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