塔里木河下游阿拉干断面胡杨根系空间分布规律研究

采用根系质量、密度、消弱系数和表面积等指标对塔里木河下游主要建群种胡杨根系空间分布特征进行定量研究,并分析了胡杨根系分布与土壤含水率的关系,为塔里木河下游受损天然胡杨林恢复提供依据。研究表明:(1)细根分布频数占活根总数的比例最大,死根所占比例从表层到深层有逐渐递减的趋势。(2)单株胡杨根系密度分布不对称。随着水平距离的增加,细根根系长度呈现近长远短的特点,而根量的水平分布呈现近重远轻的特点,主要集中在100～200 cm范围内。(3)胡杨根系垂直分层明显,根量在垂直方向上呈两头小、中间大的梭形分布,根系消弱系数值较大。(4)在土层30～120 cm范围内,细根表面积分布与土壤含水率分布呈显著正相关。     

黄土高原不同演替阶段草地植被细根垂直分布特征与土壤环境的关系

研究了黄土区不同演替阶段草地植被细根垂直分布特征与土壤环境的关系,结果表明不同演替阶段草地植被细根生物量、根长密度、表面积、直径和比根长均具有明显的垂直分布特征。细根生物量、根长密度和细根表面积一般随土层加深而逐渐减少,且集中分布于0-40cm土层;随着演替的进行,除20a弃耕地外,0—80cm土层细根生物量、根长密度和细根表面积逐渐增加;除25a弃耕地外,细根直径随演替进行逐渐减小。0～100cm土层土壤含水量随演替进行而增加,不同演替阶段深层土壤水分较表层稳定。土壤容重的变化趋势为9〈4〈15〈20〈25a弃耕地,根系对表层土壤水分和容重的影响较大,而对深层土壤水分与容重影响较少。不同演替阶段细根各参数和土壤水分、容重差异均达到显著水平。各弃耕地细根参数之间,细根参数和土壤环境因子之间存在不同程度的相关关系,土壤含水量在草本植被的不同演替阶段均是影响其细根垂直分布的关键因素。土壤容重在演替早期对草本植被根系的影响较小,随着演替进行其影响作用进一步增强。     

不同林龄胡杨克隆繁殖根系分布特征及其构型

以中龄林和成熟林胡杨为研究对象,采用挖剖面和根窗的方法,研究胡杨繁殖根系分布、根系构型,以及胡杨根蘖与繁殖根系构型之间的关系。结果表明:(1)细根(d<2 mm)的根长密度、根表面积密度,随深度增加呈现指数函数分布;(2)中龄林细根的根长密度、根表面积密度在0—90 cm各层都是显著大于成熟林的对应指标(P<0.05),成熟林的中等粗根(5 mm0.05),且两种林龄的一级侧根数、分枝角度亦无显著差异(P>0.05);(5)对比两种林龄不同根序上的根蘖芽发现,二级根上不定芽个数均是同组一级根上不定芽个数的3—4倍;基于以上对胡杨根系的功能权衡的分析,得出:细根对胡杨根系构型有重要的影响,在胡杨根系功能权衡中扮演重要角色。     

胡杨液流对地下水埋深变化的响应

以塔里木河流域荒漠河岸林主要建群种胡杨(Populus euphratica)为研究对象, 结合中下游不同断面地下水埋深和胡杨液流变化的监测数据, 分析了胡杨茎干液流与地下水埋深变化的关系, 探讨荒漠环境下天然胡杨生长的合理生态水位。研究表明, 胡杨液流通量密度随地下水埋深即干旱胁迫程度的加大而减小, 两者呈极显著负相关, 相关系数达-0.887; 胡杨液流通量在地下水埋深位于4.5-5 m时出现异常变化, 表明此时胡杨的正常生长受到胁迫, 胡杨通过自身调节降低蒸腾耗水以适应环境; 土壤盐分不是影响塔里木河中下游各断面胡杨液流变化的主要因子; 对植物样地调查结果分析显示, 胡杨盖度、密度和频度均在地下水埋深在4-6 m梯度下开始表现为降低趋势。综合分析认为维系塔里木河中下游天然胡杨正常生长的生态水位为地下水埋深4.5 m以内。     

骆驼刺幼苗生长特性对不同地下水埋深的响应书

在塔克拉玛干沙漠南缘策勒绿洲,对人工控制地下水埋深条件下的骆驼刺幼苗地上和地下部分的生长特性进行了一个生长季的调查.结果表明:1)幼苗的株高、分枝数、冠幅与不同地下水埋深之间存在较好的相关性,不同地下水埋深下幼苗叶片数的波动较大;2)生长在距地下水埋深为2.5和2.0 m及1.5和1.0 m条件下的骆驼刺幼苗的基径变化没有显著差异(P>0.05);3)地下水埋深对骆驼刺幼苗根系的垂直根长的影响显著(P<0.01);4)不同土壤深度的根生物量、根质量密度、比根长、根表面积对地下水埋深变化的响应也有显著差异(P<0.05).     

幼龄柠条细根的空间分布和季节动态

以晋西北黄土高原区5年生柠条(Caragana korshinskii)人工林为研究对象,应用Minirhizotron技术,分别在距茎干水平距离0 cm和50 cm处设点(以下简称为0 cm位点和50 cm位点),对林地0—100 cm土层深度范围内的柠条细根进行了观测。以2009年生长季(4—10月)的细根根长密度(RLD,mm/cm2)和表面积密度(RAD,mm2/cm2)数据为基础,结合同期环境因子(气温、降雨量、土壤温度和土壤含水量等)数据,对0 cm和50 cm两个位点的细根动态特点进行了比较研究。结果表明:(1)两个水平位点的细根垂直分布和季节变化趋势均具有一定差异,主要差异是0 cm位点0—60 cm各土层的RLD均大于50 cm位点,前者各测定期的RLD(RAD)均大于后者。因此,0 cm位点的细根分布量(4.04 mm/cm2和4.67 mm2/cm2)显著大于50 cm位点(3.07 mm/cm2和2.99 mm2/cm2)。(2)就整体(两个位点平均值)而言,RLD(RAD)的垂直分布以40—50cm土层最大,以60—70cm土层最小。RLD(RAD)的季节变化具有由小变大再变小的趋势。年生长季幼龄柠条细根的RLD和RAD总平均值分别为3.55 mm/cm2和3.83 mm2/cm2。(3)就0 cm位点、50 cm位点或整个林地而言,细根RLD的季节变化与气温和土壤温度的季节变化均具有显著正相关性。以上结果表明,幼龄柠条细根的水平分布具有"近主根"特点;RLD的季节变化与温度因子的季节变化具有高度一致性。     

单叶蔷薇幼苗根系对不同潜水埋深的适应机制

地下水是影响西北地区植被分布、生长和群落演替的重要因子,通过人工装置模拟30 cm(D30)、40 cm(D40)、50 cm(D50)、60 cm(D60)、70 cm(D70)5个潜水梯度,从生长发育、根系形态、拓扑结构与分形维数以及表型可塑性四个方面来分析不同潜水埋深对单叶蔷薇幼苗的影响,力求揭示单叶蔷薇幼苗对不同水分环境的适应性策略,这将对今后开展单叶蔷薇植被恢复和保育工作具有重要价值。研究结果表明:(1)单叶蔷薇幼苗可通过增加扎根深度、总根长、根表面积、根体积、根尖数量、分支数量、地上干物质和根系干物质来应对不同潜水埋深带来的干旱胁迫,D50、D60、D70和CK处理下的幼苗还可以通过提高根冠比来适应更长久的干旱环境。(2)不同潜水埋深处理下,单叶蔷薇幼苗根系的拓扑指数基本保持在0.8-0.9之间,说明该根系属于典型的人字形分支模式,受环境影响较小。其中,短而细的密集细根(0-2 mm)构成了单叶蔷薇幼苗根系的主体。从资源分配的角度来看,该种拓扑结构相对简单、内部竞争较小、碳消耗少,有利于根系扩大土壤资源获取效率,从而保障植株生长发育的物质供需平衡,这是单叶蔷薇对环境胁迫的适应性策略。(3)适度的干旱,如50-70 cm的潜水埋深,可以促进单叶蔷薇幼苗扎根深度;而在较浅的潜水埋深(30-40 cm)环境中,单叶蔷薇幼苗能快速解除干旱,转向地上器官的生长发育,同时它通过降低垂直根系长度、增加分支和根尖数量来获取更多氧气和适应水分充足的新环境,到第75天时生长旺盛,在株高、总根长、根表面积、根体积、根尖数量、分支数量、地上干物质、根系干物质、根组织密度和分形维数10个指标上与CK组具有显著差异,说明单叶蔷薇幼苗对水分充足和严重干旱的极端环境均有较好的适应能力,表型可塑性强。     

毛白杨人工林吸收根判定阈值对其空间分布特征的影响

通过林木根系研究中不同吸收根的判定标准下根系空间分布特征的差异对比，阐明根系分级标准对吸收根空间分布格局的影响，提升根系研究精度，明确林木根系有效“觅食”区域。在7年生毛白杨林分中于5株样树周围挖取780个土柱，选取根系形态指标：根系平均直径(RD)、根系表面积密度(RAD)、根长密度(RLD)和根系体积密度(RVD)研究其垂向与径向的分布动态，并分析不同吸收根判定标准对毛白杨细根空间分布以及各形态指标的影响。结果表明：选取2 mm作为吸收根判定标准确实会导致运输根被误判为吸收根，但其空间分布特征仍能反映吸收根的真实空间分布格局。而且在该判定标准下，判定标准对于实际的细根形态和空间分布情况是否会产生的影响由于监测指标的不同以及研究位置的变化而不同。其中RAD、RLD和RVD的空间分布特征基本相同，但RVD的差值比例远高于其他指标，且深土层的差值比例普遍高于浅土层。因此，以2 mm为吸收根判定标准时，选取RLD和RAD更能准确反映吸收根的真实空间分布格局，且该标准更适用于在进行相对较浅的土层中开展研究，采用2 mm为阈值划分吸收根研究细根垂直分布特征时建议以各形态指标在各个土层所占比例来...     

杉木成熟林细根形态与功能特征的海拔梯度变异特点

为探究植物对环境变化的适应策略,在安徽省金寨县天马国家自然保护区,以不同海拔高度(750、850、1000、1150 m)杉木(Cunninghamia lanceolata)成熟林为对象,采用土钻法获取土壤细根样品,分别测定了不同海拔不同土层(0—10 cm、10—20 cm、20—30 cm)土壤细根生物量、形态特征参数和碳氮含量。结果表明:(1)随海拔梯度增加,0—30 cm土层细根生物量、根长密度、比根长、表面积密度、体积密度均呈先减少后增加趋势,在海拔750 m生物量最大,其余指标在海拔1150 m最大;随土层深度增加,同一海拔细根生物量、根长密度、表面积密度、体积密度均呈减少趋势。(2)随海拔梯度增加,0—30 cm土层细根C和N含量呈先增加后减少趋势,C/N比呈先减少后增加再减少趋势;随土层深度增加,同一海拔细根C含量呈先减少后增加趋势,N含量呈降低趋势,C/N比呈上升趋势。(3)细根N含量与生物量、根长密度和体积密度显著正相关,C/N比与生物量、根长密度、表面积密度和体积密度极显著负相关。(4)土壤水分对细根生物量及其形态指标影响显著。     

干旱区胡杨光合作用对高温和CO2浓度的响应

采用LI-6400便携式光合作用测定仪实测的塔里木河下游胡杨(Populus euphratica oliv)光合作用参数,探讨了不同地下水埋深下的胡杨光合作用对CO2浓度增加和温度升高的响应.结果表明:(1)CO2浓度升高减小了胡杨气孔导度,促进了光合速率、胞间CO2浓度和水分利用效率的增加,但不同地下水埋深下,胡杨光合作用参数对CO2浓度升高的响应不同,干旱环境(地下水埋深较深)下的响应程度大于水分适宜(地下水埋深浅)环境下的响应;(2) 高温引起胡杨气孔发生不完全关闭,导致了光合作用的光抑制发生,从而降低了胡杨光合速率,但降低程度受水分条件的影响,地下水埋深较深环境下的影响程度大于地下水埋深浅的;(3)地下水埋深是控制干旱区胡杨光合作用对CO2浓度和温度升高的根本因素,6m是胡杨生长正常的临界地下水埋深,地下水埋深>6m,胡杨即遭到水分胁迫,地下水埋深>7m,胡杨即受到了较严重的水分胁迫.     

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.     

基于森林调查数据的长白山天然林森林生物量相容性模型

森林生物量估算是进行陆地生态系统碳循环和碳动态分析的基础,但现有估测模型存在着总量与分量不相容的问题.本文以吉林省汪清天然林区为例,提出了基于森林调查的相容性森林生物量模型设计思想,并采用联立方程组为不同森林群落构造了一系列引入林分蓄积因子的相容性生物量模型,得到的预估精度较高.其中,针叶林、阔叶林和针阔混交林群落的森林生物量模型预估精度均在95%以上,基本上解决了森林生物量模型的相容性问题.     

根区交替控制灌溉条件下玉米根系吸水规律

为了阐明根区交替控制灌溉(CRDAI)条件下玉米根系吸水规律,通过田间试验,在沟灌垄植模式下采用根区交替控制灌溉研究玉米根区不同点位(沟位、坡位和垄位)的根长密度(RLD)及根系吸水动态。研究表明,根区土壤水分的干湿交替引起玉米RLD的空间动态变化,在垄位两侧不对称分布,并存在层间差异;土壤水分和RLD是根区交替控制灌溉下根系吸水速率的主要限制因素。在同一土层,根系吸水贡献率以垄位最大,沟位最低;玉米营养生长阶段,10—30 cm土层的根系吸水速率最大;玉米生殖生长阶段,20—70 cm为根系吸水速率最大的土层,根系吸水贡献率为43.21%—55.48%。研究阐明了交替控制灌溉下根系吸水与土壤水分、RLD间相互作用的动态规律,对控制灌溉下水分调控机理研究具有理论意义。     

落叶松人工林细根动态与土壤资源有效性关系研究

树木细根在森林生态系统C和养分循环中具有重要的作用。由于温带土壤资源有效性具有明显的季节变化, 导致细根生物量、根长密度 (Rootlengthdensity, RLD) 和比根长 (Specificrootlength, SRL) 的季节性变化。以 17年生落叶松 (Larixgmelini) 人工林为研究对象, 采用根钻法从 5月到 10月连续取样, 研究了不同土层细根 (直径≤ 2mm) 生物量、RLD和SRL的季节动态, 以及这些根系指标动态与土壤水分、温度和N有效性的关系。结果表明 :1) 落叶松细根年平均生物量 (活根 +死根 ) 为 189.1g·m-2 ·a-1, 其中 5 0 %分布在表层 (0~ 10cm), 33%分布在亚表层 (11~ 2 0cm), 17%分布在底层 (2 1~ 30cm) 。活根和死根生物量在 5~ 7月以及 9月较高, 8月和 10月较低。从春季 (5月 ) 到秋季 (10月 ), 随着活细根生物量的减少, 死细根生物量增加 ;2 ) 土壤表层 (0~ 10cm) 具有较高的RLD和SRL, 而底层 (2 1~ 30cm) 最低。春季 (5月 ) 总RLD和SRL最高, 分别为 10 6 2 1.4 5m·m-3 和 14.83m·g-1, 到秋季 (9月 ) 树木生长结束后达到最低值, 分别为 2 198.2 0m·m-3 和 3.77m·g-1;3) 细根生物量、RLD和SRL与土壤水分、温度和有效N存在不同程度的相关性。从单因子分析来看, 土壤水分和有效N对细根的影响明显大于温度, 对活根的影响大于死根。由于土壤资源有效性的季节变化, 使得C的地下分配格局发生改变。各土层细根与有效性资源之间的相关性反映了细根功能季节性差异。细根 (生物量、RLD和SRL) 的季节动态 (5 8%~ 73%的变异 ) 主要由土壤资源有效性的季节变化引起。     

柠条细根的空间分布特征及其季节动态

以晋西北黄土区30年生柠条(Caragana korshinskii Kom.)人工林为研究对象,2007年应用Minirhizotron技术,分别在距茎干水平距离0、50、100 cm处设点,对林地0-100 cm土层深度范围内的柠条细根空间分布及其生长季的动态进行了研究。结果表明:(1)生长季柠条细根根长密度(RLD)总平均值为1.3423 mm/cm²。在水平方向上,距茎干水平距离50 cm处分布最多(1.5369 mm/cm²),其次为0 cm处(1.3855 mm/cm²), 100cm处分布最少(1.1044 mm/cm²)。在垂直深度上,各土层RLD平均值大小顺序为40-60 cm>60-80 cm>20-40 cm>0-20 cm>80-100 cm;(2)在0-100 cm土层范围内,月平均RLD在生长季的波动范围为0.4405 2.1040 mm/cm²,其中9月份最多,4月份最少;RLD在5个土层深度3个水平距离处随季节变化均表现先增加后减少的趋势,且不同空间位置RLD峰值变化均在秋季(8 10月份)波动。细根的这种时空分布差异,可能主要受林下土壤资源空间异质性及其季节性变化的影响,但也不排除其它因素的影响(如真菌,植食性昆虫)。     

Spatial distribution of roots of pearl millet on sandy soils of Niger

Root sampling in crop stands of low planting density requires reliable information on horizontal distribution of roots. This applies particularly to pearl millet in the Sahel, which is sown at a rate of less than two pockets of seed per m². The objective of this study was to investigate the spatial variability of root length density (RLD) among sampling positions in an improved management system with ridging and under traditional sowing. RLD between ridges (bR) was lower compared to sampling positions within ridges (wR) at soil depth layers from 0 to 80 cm soil depth. We found a highly significant, positive correlation between the sum of the root length (RL) of four sampling dates (tillering, booting, flowering, and maturity) with shoot dry mass (SDM) at maturity. The square of the correlation coefficient was highest when calculation of RL was based on RLD at all four sampling positions. While SDM exhibited significant differences among three pearl millet varieties, sole root sampling wR at a lateral distance of 60 cm relative to the pocket would not allow for the detection of varietal differences in RL, while all other sampling positions did. The correlation between RL and SDM was considerably improved if information of RLD bR was included. Under traditional sowing, RLD directly under the plant was lower compared to sampling positions at lateral distance 25 and 50 cm from the centre of the pocket, but this effect of sampling position was not significant. RLD estimates within deeper soil layers were not systematically affected by direction and lateral distance. To obtain accurate information about depth of rooting and RL under traditional sowing, samples should be taken from lateral distances between 20 and 40 cm from the pocket centre.     

渭北旱塬不同龄苹果细根空间分布特征

以渭北旱塬3龄、10龄、15龄和20龄苹果树为对象,采用根钻法,沿3等分园半径方向(径向)、距树干1.0、1.5m和2 0m处设置采样点,研究了不同树龄的细根空间分布特征.结果表明,3龄苹果细根主要分布于径向1.5m以内和垂向0.5m以上,15龄和20龄苹果细根分布超出径向2.0m和垂向1.4m,10龄细根分布范围大于3龄,与15龄和20龄接近.在根系主要分布区内3龄和10龄细根分布稀疏,15龄和20龄细根分布密集;细根空间分布演化过程可分为3个阶段,即3～10龄为细根范围扩张阶段,10～15龄为细根密度扩张阶段,15～20龄为细根密度退化阶段;苹果细根空间分布无明显方向性差异;10龄、15龄和20龄苹果表层(0～20cm)平均根长密度低于下层(20～40cm),高峰值一般出现在40～80cm,此深度以下根长密度随深度递减,3龄苹果表层平均根长密度高于下层;在径向2.0m内随径向距离增大,3龄、15龄和20龄平均根长密度逐渐降低,而10龄根长密度逐渐增加.根长密度在径向变化上存在局部变异现象.     

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]