帽儿山地区落叶松人工林CO2通量特征及对林分碳收支的影响

2008年,采用涡度协方差法测定了黑龙江省尚志市帽儿山地区落叶松人工林的CO₂通量,并于生长季(5—10月)不同月份测定了落叶松叶片光合日变化.结果表明: 不同时间段环境因子变化对落叶松人工林净生态系统交换量的影响存在差异,下午(12:00—24:00) 的净生态系统交换量对其饱和蒸汽压亏缺的变化反应较上午(0:00—12:00)迟钝;上午光能利用效率为0.6284 mol·mol^-1,是下午的1.14倍;随温度上升,上午净生态系统交换量的增幅是下午的1.5倍(气温>15 ℃).这种差异使落叶松林净碳交换量的88%在上午完成,而下午仅完成净碳交换量的12％;上、下午生态系统生产力分别占全天的60%和40%,上午叶片的光合能力为下午的3倍.落叶松人工林全年净生态系统交换量在263～264 g C·m^-2,生态系统呼吸在718～725 g C·m^-2,总初级生产力在981～989 g C·m^-2.     

华北落叶松树体储水利用及其对土壤水分和潜在蒸散的响应: 基于模型模拟的分析

 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(DJ_z)为0.04–0.58 mm?d^–1, 与日蒸腾量(DT_r)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(ET_p)低于4.9 mm?d^–1时, ET_p是华北落叶松树体储水利用的主要驱动因子, DJ_z与ETp成正相关(R² = 0.68); 当ET_p高于4.9 mm?d^–1时, DJ_z随着ET_p的增加呈现降低趋势; DJ_z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(DJ_zmax)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。     

Taxonomic identity of a galling adelgid (Hemiptera: Adelgidae) from three spruce species in Central Japan

Gall‐forming insects are commonly highly host‐specific, and galling species once thought to be oligo‐ or polyphagous are often found to represent a complex of host‐specific races or cryptic species. A recent DNA barcoding study documented that an unidentified species of the genus Adelges is a gall‐former associated with four spruce species (Picea bicolor, P. koyamai, P. maximowiczii, P. polita) as the primary hosts, with little genetic differentiation among insects on different host species. In this study, we investigated the morphology of this galling adelgid to determine its taxonomic identity. Morphological inspection of insects collected from three of the spruce species confirmed that this adelgid is a single galling species, and is identified as Adelges (Sacchiphantes) kitamiensis, which was previously known only from the secondary host. We described the gallicola adults of this species, as well as the first‐instar exules which are the offspring of gallicolae. Finally, we verified the taxonomic identity of this species and discuss its life cycle and host distribution.     

Species richness and composition of Curculionidae (Coleoptera) in a conifer plantation, secondary forest, and old-growth forest in the central mountainous region of Japan

Weevil (Curculionidae, Coleoptera) species richness and composition were investigated and compared among larch [Larix kaempferi (Lamb.) Carriére] plantations, secondary forests, and old-growth forests in the central mountainous region of Japan. In addition, to assess the effects of forest-management practices, namely thinning and long-rotation logging schedules (long rotation), the weevil assemblages of recently thinned middle-aged and long-rotated larch plantations were compared with those of middle-aged larch plantations. Malaise traps were set in 44 stands of these forest types, and weevils were separated and identified. Several environmental factors other than forest type were also examined. Weevil species richness and diversity indices [Shannon-Wiener diversity index (H) and Simpsons index of diversity (D)] were higher in the secondary forest than in the larch plantation. Because of its wide distribution and higher weevil species richness, the secondary forest contributed to maintaining weevil diversity in this region. Old-growth forest had higher diversity indices (H and D) than did the larch plantation. The secondary forest had the highest number of species in total. Though the number of individuals was the highest in larch plantation, species richness, H and D of the plantation were generally low. Weevil community structure and species composition differed among the three forest types, but the difference in weevil composition between the larch plantation and the other two forest types was the largest. Forest type is probably the most important factor for determining the differences in weevil assemblage, and further, both dominant tree type (coniferous trees versus broad-leaved trees) and the number of mature tree species seem to be important factors for weevil species composition. Among forest management practices, long rotation caused diversity indices (H and D) to increase while thinning appeared to cause only minor changes in the weevil assemblages. Because species richness and species composition of Curculionidae well reflected the differences in forest types and some other environmental factors investigated, this family seems suitable for diversity research in forests. Further research on biodiversity with the use of this family should, therefore, be expected.     

Seasonal dynamics of fine root biomass,root length density,specific root length,and soil resource availability in a Larix gmelinii plantation

Fine root tumover 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 Mav 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 (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 soil layer.RLD and SRL in May were the highestthe other months,and RLD was the lowest in Septemberdynamics 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.     

Seasonal dynamics of fine root biomass, root length density, specific root length, and soil resource availability in a Larix gmelinii plantation

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]     

长白落叶松（Larix olgensis）工业人工林的模拟间伐

应用马尔柯夫过程理论,在获得林分直径转移概率的基础上,采用间伐最小径阶林木,最大径阶林木,中间径阶林木三种间伐方式,在保留不同密度情况下对长白落叶松工业人工林进行模拟间伐,提出了适宜的保留密度和相应的抚育间伐对象。结果表明：马尔柯夫过程确能反映长白落叶松工业人工林的直径转移过程,利用马尔可夫过程理论对长白落叶松工业人工林进行模拟间伐实现了依据培育时间来确定间伐方法和措施,提高了长白落叶松工业人工林经营管理的精准性;长白落叶松工业人工林成林后的间伐无论从培育森林方面,还是从取得木材、加大林分收益方面考虑,都应该以间伐小径阶的林木为主,注重培育I、II级木,间伐III, IV级木;20～25 a长白落叶松工业人工林间伐后的保留经营密度以0.7为宜。     

采伐对小兴安岭落叶松-泥炭藓沼泽温室气体排放的影响

利用静态箱-气相色谱法,研究了择伐和皆伐对小兴安岭落叶松-泥炭藓沼泽CH4、CO2、N2O排放的影响.结果表明:采伐改变了落叶松-泥炭藓沼泽CH4和N2O的季节排放规律,其中对照样地的CH4为夏季吸收、秋季排放,N2O夏秋季吸收;择伐样地的CH4和N2O在夏季集中排放;皆伐样地的CH4在夏秋季排放,N2O则在夏季吸收、秋季排放.但采伐对CO2季节排放规律的影响,均为夏季春季秋季.采伐改变了CH4、CO2和N2O的源汇功能,对照样地为CO2的排放源、CH4和N2O的弱吸收汇;采伐地的CO2排放量下降了1/4,并转化为N2O弱排放源,为CH4的弱排放源或强排放源.择伐样地温室效应贡献潜力较对照样地下降了24.5%,皆伐地则提高了3.2%.     

基于CENTURY模型模拟火烧对大兴安岭兴安落叶松林碳动态的影响

火作为森林生态系统重要的自然干扰因子之一,对森林的碳动态有着不可忽视的影响.本研究使用CENTURY模型模拟了大兴安岭呼中林区兴安落叶松林的碳收支对不同强度火烧的响应.结果表明:在不同强度火烧后,土壤总碳库呈先升后降再逐渐恢复的变化趋势,而林分生物碳库则先降后升,其中,林分细小组分碳库的恢复速度明显快于大组分,各碳库的波动程度随火烧强度的增大而增大.森林植被的净初级生产力(NPP)和土壤异养呼吸在火后均先降后升,但NPP的恢复快于土壤异养呼吸,二者的动态变化改变了林分的碳源/汇作用.轻微火烧后,兴安落叶松林仍表现为弱碳汇,并很快恢复到火前水平;其他强度的火烧使兴安落叶松林在短期内(9～12年)表现为碳源,随后逐渐转为碳汇.较低强度的林火不仅可以促进落叶松林的更新、减少死可燃物,也不会对林分的碳汇功能造成太大影响;高强度的严重林火对土壤和林木碳库造成严重损失,延缓森林的恢复,并可使林分表现为较长时间的碳源.