Linking variability of tree water use and growth with species resilience to environmental changes

Tree growth is an indicator of tree vitality and its temporal variability is linked to species resilience to environmental changes. Second-order statistics that quantify the cross-scale temporal variability of ecophysiological time series (statistical memory) could provide novel insights into species resilience. Species with high statistical memory in their tree growth may be more affected by disturbances, resulting in lower overall resilience and higher vulnerability to environmental changes. Here, we assessed the statistical memory, as quantified with the decay in standard deviation with increasing time scale, in tree water use and growth of co-occurring European larch Larix decidua and Norway spruce Picea abies along an elevational gradient in the Swiss Alps using measurements of stem radius changes, sap flow and tree-ring widths. Local-scale interspecific differences between the two conifers were further explored at the European scale using data from the International Tree-Ring Data Bank. Across the analysed elevational gradient, tree water use showed steeper variability decay with increasing time scale than tree growth, with no significant interspecific differences, highlighting stronger statistical memory in tree growth processes. Moreover, Norway spruce displayed slower decay in growth variability with increasing time scale (higher statistical memory) than European larch; a pattern that was also consistent at the European scale. The higher statistical memory in tree growth of Norway spruce in comparison to European larch is indicative of lower resilience of the former in comparison to the latter, and could potentially explain the occurrence of European larch at higher elevations at the Alpine treeline. Single metrics of resilience cannot often summarize the multifaceted aspects of ecosystem functioning, thus, second-order statistics that quantify the strength of statistical memory in ecophysiological time series could complement existing resilience indicators, facilitating the assessment of how environmental changes impact forest growth trajectories and ecosystem services.     

落叶松针叶化学成分研究

该研究采用硅胶柱色谱、半制备型高效液相色谱和重结晶等方法对落叶松针叶乙酸乙酯萃取物进行分离纯化,利用NMR、MS现代波谱技术结合相关文献报道对分离得到的化合物进行结构鉴定,并对提取浸膏的抑菌活性进行了测试。结果表明:从落叶松针叶乙酸乙酯萃取物中分离得到15个化合物,分别鉴定为Larixol (1)、(2R)-5,4'-二羟基-6-甲基-7-甲氧基-黄酮(2)、2',4'-二羟基-4,6'-二甲氧基二氢查尔酮(3)、2',4-二羟基-4',6'-二甲氧基查尔酮(4)、2',4'-二羟基-4,6'-二甲氧基查尔酮(5)、异鼠李素(6)、4',5-二羟基-7-甲氧基-8-甲基黄酮(7)、山奈酚(8)、β-谷甾醇(9)、豆甾醇(10)、胡萝卜苷(11)、香草酸(12)、对羟基苯甲酸(13)、二甲基罗汉松脂素(14)、15-二十九烷醇(15)。其中,化合物2,4,5和7为首次从该属植物中分离得到。抑菌活性实验结果显示,乙酸乙酯萃取浸膏在浓度为5~100 mg·mL-1时对大肠杆菌、枯草芽孢杆菌、蜡样芽孢杆菌和金黄色葡萄球菌的抑菌率分别为55%~70%、53%~72%、61%~71%和33%~65%。上述结果为更加深入探究落叶松针叶化学成分和药理活性提供了一定理论依据。     

Direct response of tree growth to soil water and its implications for terrestrial carbon cycle modelling

Wood growth constitutes the main process for long‐term atmospheric carbon sequestration in vegetation. However, our understanding of the process of wood growth and its response to environmental drivers is limited. Current dynamic global vegetation models (DGVMs) are mainly photosynthesis‐driven and thus do not explicitly include a direct environmental effect on tree growth. However, physiological evidence suggests that, to realistically model vegetation carbon allocation under increased climatic stressors, it is crucial to treat growth responses independently from photosynthesis. A plausible growth response function suitable for global simulations in DGVMs has been lacking. Here, we present the first soil water‐growth response function and parameter range for deciduous and evergreen conifers. The response curve was calibrated against European larch and Norway spruce in a dry temperate forest in the Swiss Alps. We present a new data‐driven approach based on a combination of tree ring width (TRW) records, growing season length and simulated subdaily soil hydrology to parameterize ring width increment simulations. We found that a simple linear response function, with an intercept at zero moisture stress, used in growth simulations reproduced 62.3% and 59.4% of observed TRW variability for larch and spruce respectively and, importantly, the response function slope was much steeper than literature values for soil moisture effects on photosynthesis and stomatal conductance. Specifically, we found stem growth stops at soil moisture potentials of ?0.47 MPa for larch and ?0.66 MPa for spruce, whereas photosynthesis in trees continues down to ?1.2 MPa or lower, depending on species and measurement method. These results are strong evidence that the response functions of source and sink processes are indeed very different in trees, and need to be considered separately to correctly assess vegetation responses to environmental change. The results provide a parameterization for the explicit representation of growth responses to soil water in vegetation models.     

Plant response to climate change along the forest‐tundra ecotone in northeastern Siberia

Russia's boreal (taiga) biome will likely contract sharply and shift northward in response to 21st century climatic change, yet few studies have examined plant response to climatic variability along the northern margin. We quantified climate dynamics, trends in plant growth, and growth–climate relationships across the tundra shrublands and Cajander larch (Larix cajanderi Mayr.) woodlands of the Kolyma river basin (657 000 km²) in northeastern Siberia using satellite‐derived normalized difference vegetation indices (NDVI), tree ring‐width measurements, and climate data. Mean summer temperatures (T_s) increased 1.0 °C from 1938 to 2009, though there was no trend (P > 0.05) in growing year precipitation or climate moisture index (CMI_gy). Mean summer NDVI (NDVI_s) increased significantly from 1982 to 2010 across 20% of the watershed, primarily in cold, shrub‐dominated areas. NDVI_s positively correlated (P < 0.05) with T_s across 56% of the watershed (r = 0.52 ± 0.09, mean ± SD), principally in cold areas, and with CMI_gy across 9% of the watershed (r = 0.45 ± 0.06), largely in warm areas. Larch ring‐width measurements from nine sites revealed that year‐to‐year (i.e., high‐frequency) variation in growth positively correlated (P < 0.05) with June temperature (r = 0.40) and prior summer CMI (r = 0.40) from 1938 to 2007. An unexplained multi‐decadal (i.e., low‐frequency) decline in annual basal area increment (BAI) occurred following the mid‐20th century, but over the NDVI record there was no trend in mean BAI (P > 0.05), which significantly correlated with NDVI_s (r = 0.44, P < 0.05, 1982–2007). Both satellite and tree‐ring analyses indicated that plant growth was constrained by both low temperatures and limited moisture availability and, furthermore, that warming enhanced growth. Impacts of future climatic change on forests near treeline in Arctic Russia will likely be influenced by shifts in both temperature and moisture, which implies that projections of future forest distribution and productivity in this area should take into account the interactions of energy and moisture limitations.     

农杆菌介导的日本落叶松胚性细胞遗传转化研究

基于体细胞胚胎发生技术平台,利用携带pSuper1300+质粒,以潮霉素为筛选标记基因的农杆菌GV3101介导日本落叶松遗传转化,对植物受体材料生理状态、农杆菌浓度和浸染时间以及共培养时间等影响因素进行了研究、分析和讨论.结果表明:综合优化各影响因素,生长旺盛的日本落叶松胚性细胞,经浓度为0.4(OD600)的农杆菌浸染10min,共培养2d,再用含400mg/L的头孢霉素的液体培养基清洗脱菌,然后在含400mg/L的头孢霉素固体培养基上恢复培养,并置于含5mg/L潮霉素的固体培养基上多次筛选,最终共获得54个抗性细胞系,转化率平均为0.94个/g.PCR检测鉴定,所有抗性细胞系均为阳性转化体,并排除了农杆菌污染导致的假阳性.研究建立并优化了农杆菌介导的日本落叶松遗传转化技术,为进行遗传改良和基因功能鉴定提供有利平台.     

外源NO对增补UV-B辐射下兴安落叶松幼苗叶片光合色素和叶绿素荧光特性的影响

在增强UV-B辐射下,以3年生兴安落叶松幼苗为实验材料,研究了外源NO供体硝普钠(Sodium nitroprusside,SNP)对幼苗的光合色素（Chla、Chlb和Car）和叶绿素荧光参数的影响。方差分析结果表明0.5 mmol·L^-1的SNP对增补UV B胁迫下的兴安落叶松幼苗产生显著影响。0.5 mmol·L^-1的SNP能够显著抑制增补UV-B辐射后光合色素、F_v/F_m、Φ_PSⅡ、F_v′/F_m′和qP的明显下降以及Chla /Chlb、F_o和NPQ的升高。表明了外源NO能够减轻UV-B辐射胁迫下兴安落叶松幼苗光合反应中心的生理损伤,从而增强兴安落叶松幼苗对增补UV-B辐射胁迫环境的适应能力。     

以小时为步长的大兴安岭兴安落叶松林地表可燃物含水率预测模型

应用时滞平衡含水率法(包括Nelson和Simard两种)及气象要素回归法,以小时为步长对大兴安岭地区阳坡上部落叶松林下地表细小死可燃物进行动态含水率测定,分析了不同郁闭度林分的预测误差.结果表明:以小时为步长的可燃物含水率预测方法适用于大兴安岭地区的典型落叶松林分,Simard法预测平均绝对误差为1.1%,平均相对误差为8.5%,低于Nelson法和传统的气象要素回归法,接近同类研究的误差范围;同一坡度、坡位上,不同郁闭度下的可燃物含水率变化差异较大,使用以小时为步长的可燃物含水率预测方法,应根据不同地区林分和地点选择合适的平衡含水率模型,或建立基于林分的可燃物含水率模型.     

北京市华北落叶松优树群体遗传多样性分析

利用SSR分子标记对北京市华北落叶松人工林5个群体的220棵优树进行遗传多样性和群体结构分析。20对SSR引物共检测到81个等位基因,每个位点等位基因数2~8个不等,平均4.05个。群体观测和期望杂合度平均值分别为0.429和0.440,Shannon信息指数和多态性信息含量分别为0.756和0.380。5个群体中,百花山和云蒙山遗传多样性水平最高,雾灵山遗传多样性水平最低。AMOVA分析结果显示,2.65%的遗传变异来自于群体间,剩余97.35%的遗传变异来自于群体内。遗传分化系数仅为0.023,表明北京市华北落叶松优树群体遗传分化程度很低。基于Nei's遗传距离可以将5个群体划分为3个类群,四海镇和雾灵山归为第Ⅰ类,松山归为第Ⅱ类,百花山和云蒙山归为第Ⅲ类。STRUCTURE群体结构分析结果与上述聚类分析结果大体一致。以上研究为华北落叶松人工林遗传多样性评价和优良种质资源收集、保护和利用提供理论依据。     

不同海拔温度和降水对新疆阿尔泰山西伯利亚落叶松径向生长的影响

为定量并分离关键气候因子对新疆阿尔泰山不同海拔树木径向生长的影响,通过对高、中和低海拔的西伯利亚落叶松(Larixsibirica)树轮宽度标准年表与气候因子分别进行相关、多元线性回归等统计分析,并进一步计算了线性模型中不同气候因素的绝对和相对贡献率。结果表明,高海拔地区,当年6月温度和上年7月降水分别与径向生长呈显著正相关和负相关,两者共同解释西伯利亚落叶松径向生长变异的33.1%,相对贡献率分别为66.2%和33.8%;中海拔地区,当年6月温度和上年6月降水分别与径向生长呈显著正相关和负相关,两者共同解释径向生长变异的26.8%,相对贡献率分别为40.1%和59.9%;低海拔地区,上年6月温度和7月降水分别与径向生长呈显著负相关和正相关,两者共同解释径向生长变异的29.4%,相对贡献率分别为31.9%和68.1%。这表明限制树木径向生长的主要影响因子随海拔的不同而异,在高海拔地区,温度是主要限制因子;而在低海拔地区,降雨是主要限制因子。     

阿尔山不同时期落叶松根际土壤固氮菌的多样性研究

利用传统的细菌分离培养,结合16S rDNA序列分析等方法,对阿尔山地区不同时期落叶松根际可培养固氮菌群落的多样性进行分析,以揭示落叶松根际固氮菌的多样性及群落结构的季节变化规律,为森林生态系统的可持续发展提供理论依据。结果显示:(1)从阿尔山落叶松根际土壤中共计分离纯化细菌菌株112株,分属于14属41种,包括假单胞菌属、伯克氏菌属、根瘤菌属、叶杆菌属、节杆菌属、类芽孢杆菌属、沙雷菌属、欧文菌属、短小杆菌属、芽孢杆菌属、肠杆菌属、不动杆菌属、柄杆菌属、红球菌属;其中优势菌群为假单胞菌属,次优势菌群为叶杆菌属、伯克氏菌属和节杆菌属。(2)季节变化对落叶松固氮菌群的变化有显著影响,表现为4月份和10月份最优势类群为γ-变形菌纲(γ-proteobacteria)中的假单胞菌属,6月份和8月份的最优势类群相同,但组成有所差别,其中6月份优势菌群包括假单胞菌属、短小杆菌属、红球菌属、节杆菌属,8月份的优势菌群为假单胞菌属、不动杆菌属、肠杆菌属、短小杆菌属、红球菌属和节杆菌属。(3)不同时期的物种均匀度指数(McIntosh index)差异显著,8月份最大,4月份最小,变化范围在0.83～1.164之间;物种丰富度指数(Shannon-Wiener index) 6月份和8月份显著高于4月份和10月份;优势度指数(Simpson index) 4月份和10月份显著高于6月份和8月份。研究表明,阿尔山地区落叶松根际微生物的多样性较高,群落相对复杂,分离的14个菌属多为根际促生菌,且不同时期固氮菌的群落组成受季节的影响明显。