青藏高原东部高寒灌丛生物量分配对模拟增温的响应

植物生物量分配特征的变化反映了不同环境条件下植物的适应策略,全球气候变暖正在改变青藏高原高寒生态系统植被动态和生物量分配格局。然而,到目前为止,有关青藏高原高寒灌丛生物量分配特征对气候变暖的响应研究较少。为了探究气候变暖对高寒灌丛生物量分配的影响,以青藏高原东部典型的窄叶鲜卑花高寒灌丛为研究对象,分析了高寒灌丛灌木层、草本层和群落水平生物量分配特征对开顶式生长室（OTC）模拟增温的响应。研究结果表明：整个生长季节,模拟增温使空气温度和表层土壤温度分别升高0.6℃和1.2℃,使表层土壤水分含量下降2.7%。模拟增温使草本层和群落地上生物量显著增加57.8%和7.2%,使灌木层、草本层和群落根系生物量显著增加42.5%、105.6%和45.6%。然而,模拟增温没有显著影响灌木层地上生物量。同时,模拟增温使灌木层、草本层和群落总生物量显著增加25.6%、85.7%和28.4%,使灌木层、草本层和群落根冠比显著增加33.2%、30.4%和36.0%。由此可见,模拟增温在促进高寒灌丛生物量生产的同时将显著提高向地下根系部分的分配比例。Pearson相关分析表明,高寒灌丛生物量分配与空气温度、土壤温度和土壤硝态氮含量呈显著正相关关系;多元线性回归分析结果也表明,空气温度、土壤温度和土壤硝态氮含量解释了高寒灌丛生物量分配变异的50.8%以上。这些结果表明,青藏高原东部高寒灌丛植被能够通过调节生物量分配模式应对未来气候变暖。     

青藏高原高寒草甸生物量动态变化及与环境因子的关系——基于模拟增温实验

以青藏高原高寒草甸为研究区,设置模拟增温实验样地,于2010年开始持续增温,2012和2013年调查植被地上-地下生物量,探讨气候变暖背景下高寒草甸生物量的动态变化及其与环境因子的关系。结果表明:(1)增温处理下地上-地下生物量与根冠比的中值和平均值大于对照,其中地下生物量(变异系数为0.30)的增加幅度大于地上生物量(变异系数为0.27),根冠比的变异系数(0.33)大于地上-地下生物量,这表明增温可导致高寒草甸植被生物量分配出现差异。(2)地上-地下生物量呈极显著的幂指数函数关系(R~2=0.147,P0.001),表现为异速生长,但在增温处理下异速生长出现减缓(R~2=0.102,P0.05)。(3)地上生物量受深层土壤水分和浅层土壤温度影响较大,地下生物量受深层土壤水分和深层土壤温度影响较大;土壤温度对地上-地下生物量的影响强于土壤水分,表现为20 cm深度土壤温度对地上生物量(R=0.582,P0.01)和根冠比(R=-0.238,P0.05)影响较大,60 cm深度土壤温度对地下生物量影响较大(R=0.388,P0.01),100 cm深度土壤水分对地上生物量(R=0.423,P0.01)和地下生物量(R=0.245,P0.05)影响较大,这说明增温导致浅层土壤温度对生物量分配产生影响,使生物量更多分配到地上部分,而冻土融化致使深层土壤水分对生物量产生影响。     

中国草地生物量地上-地下分配格局: 基于个体水平的研究

生物量的地上-地下分配反映了植物的生长策略, 并且生物量地上-地下分配会影响土壤碳输入进而影响陆地生态系统碳循环. 然而, 根系采样的困难使得作为陆地生态系统碳循环模型中重要参数的地下-地上生物量比(R/S)存在很大不确定性. 2006~2007年, 分别对内蒙温带草地19个样地中的42个优势物种, 以及青藏高寒草地16个样地中53个优势物种的地上生物量与地下生物量进行了调查, 试图揭示个体水平上草地生物量的地上-地下分配格局及其与环境因素的关系, 同时与群落水平的观测结果进行比较. 总体上, 中国草地物种的地下-地上生物量比的中值为0.78, 其中青藏高寒草地植物个体的R/S低于内蒙温带草地, 青藏高寒草地植物个体地上生物量与地下生物量相关生长关系的斜率显著低于内蒙温带草地植物. 中国草地植物个体水平的地下-地上生物分配并不支持等速生长假说. 中国草地植物个体水平的地下-地上生物量比随年均温和年降水没有明显变化趋势. 群落水平与个体水平的R/S存在很大差异, 可能的原因是个体水平根系采样不全而低估了R/S, 而群落采样低估了地上生物量同时高估了地下生物量致使R/S 被高估. 结果表明, 如果用之前报道的R/S可能会高估草地地下生物量.     

中国北方温带灌丛生物量的分布及其与环境的关系

目前对植物生物量分布格局和分配的研究多集中在森林和草地生态系统,对灌丛的相关研究较少。灌丛是中国北方广泛分布的植被。研究灌丛生物量分布格局及其分配是对估算我国陆地生态系统碳库的重要补充。该文通过对中国北方温带灌丛的大范围野外调查和采样,计算中国北方433个典型灌丛样地的生物量及其在各器官间的分配,并研究它们与气候和土壤营养等环境因子的关系。结果表明:中国北方温带灌丛平均生物量为12.5 t·hm~(–2),其中灌木层地上、地下生物量分别为4.5和5.4 t·hm~(–2),草本层地上、地下生物量分别为0.8和1.8 t·hm~(–2);凋落物量为2.5 t·hm~(–2)。不同类型中,温带落叶灌丛、亚高山落叶阔叶灌丛、荒漠灌丛平均生物量分别为14.4、28.8和5.0 t·hm~(–2)。东西部生物量分布差异较大,东部温带落叶灌丛总生物量高于西部的荒漠灌丛。东部温带落叶灌丛中,东北地区的灌丛生物量稍低于华北地区。灌木的地下-地上生物量比不随水分和土壤养分变化,而叶-枝生物量比受水分影响,在干旱区域叶-枝生物量比较低。     

青藏高原高寒草甸植被和土壤对短期禁牧的响应

为探讨青藏高原高寒草甸对短期禁牧的响应,设置冬季自由放牧和短期(2年)禁牧的对比试验。采用随机样方法调查植被群落盖度,分析地上和地下生物量、根冠比、植被地上和地下部分以及表层(0-10cm)土壤全碳、全氮和全磷含量、生态化学计量以及营养元素的关联性。研究结果显示:1)短期禁牧显著改变高寒草甸植被盖度、地上生物量、根冠比、植被全磷含量和N∶P,以及土壤全磷含量。2)相关性分析表明,禁牧后土壤全碳含量与植被地上全碳含量呈显著相关性,自由放牧后土壤全碳和全氮含量分别与植被地下部分全碳和全氮含量呈显著相关性。结果表明,不同的草原管理措施(禁牧、放牧)会改变高寒草甸植被与土壤养分分配及其平衡关系,同时,植被与表层土壤主要养分含量之间的关联性仅存在于部分植物器官与部分营养元素之间。     

古尔班通古特沙漠南缘3种生活型草本植物生物量分配及相关生长关系

为了解古尔班通古特沙漠不同生活型草本植物的生物量分配特征,通过取样调查当地34种草本植物的生物量研究表明：（1）采集到的每个物种样本的总生物量大多小于4 g,其中多数个体（大于80%）的地上与地下生物量分别在2和0.5 g以内,根冠比主要集中在0.25以内;（2）类短命植物向地下部分分配较多生物量,根冠比较大,集中分布在1.67左右;短命和一年生长营养期草本向地下部分配的生物量远小于类短命植物,两者的根冠比较小,主要集中在0.15左右;（3）短命植物地下与地上部生物量间为等速生长关系,而类短命植物和一年生长营养期草本植物地下与地上生物量间为异速生长关系,其中类短命植物随个体增大向地下部分配生物量的比例增多,而一年生长营养期草本则相反。综上所述,短命、类短命和一年生长营养期草本植物地下与地上生物量间具有不同的分配特征,与各自独特的生活史特征相一致。     

黑河中游荒漠草地地上和地下生物量的分配格局

草地生态系统中地上和地下生物量的分配方式对于研究生态系统碳储量和碳循环有着重要的意义。为了解黑河中游荒漠草地的地上和地下生物量分配格局, 从群落和个体两个水平对黑河中游的地上和地下生物量进行了调查。结果表明: 群落水平上地上生物量介于3.2-559.2 g·m^-2之间, 地下生物量介于3.3-188.2 g·m^-2之间, 个体水平上地上生物量介于6.1-489.0 g·株^-1之间, 地下生物量介于2.4-244.2 g·株^-1之间, 群落水平上的根冠比(R/S)为0.10-2.49, 个体水平上为0.07-1.55, 地下生物量均小于地上生物量, 群落水平上R/S值大于个体水平。群落和个体水平地上和地下生物量的拟合斜率分别为1.1001和0.9913, 与1没有显著差异, 说明地上与地下生物量呈等速生长关系。群落和个体水平土壤表层0-20 cm和0-30 cm的根系生物量分别占全部根系生物量的89.81%、96.95%和81.42%、93.62%, 表明地下生物量主要集中在0-20 cm和0-30 cm土壤表层。     

围封与放牧对青藏高原草地生物量与功能群结构的影响

以青藏高原高寒草甸、高寒草原、温性荒漠草原的退化草地为基础,比较了5年围封样地与放牧样地的生物量和群落结构。结果表明:(1)围封后3类草地地上总生物量较放牧样地分别显著增加了48.1%、10.8%、34.5%;地下生物量对围封的响应与地上总生物量一致,且围封后高寒草原0~10cm土层根系生物量比例较放牧地显著下降。(2)围封显著降低了高寒草甸的根冠比,高寒草原和温性荒漠草原无显著变化。(3)与放牧地相比,围封显著增加了高寒草甸和高寒草原禾本科植物的生物量比例,高寒草甸杂类草显著降低,温性荒漠草原功能群生物量比例无显著差异。     

中国北方草地生物量动态及其与气候因子的关系

草地生态系统在全球碳循环中扮演重要角色. 中国草地约占中国陆地面积的1/3, 但对其碳库大小、动态及其与气候变化的关系缺乏系统研究. 基于341个样地调查的地上、地下生物量资料和1982~2006年的卫星遥感数据, 利用地上生物量与遥感数据之间及地上生物量与地下生物量之间的关系, 估算了中国北方草地生物量碳库及其空间分布, 分析了过去25年生物量碳密度和碳库的时间动态及其与气候变化的关系. 结果显示: (1) 中国北方草地生物量碳库为557.5 Tg C, 地上、地下生物量密度分别为39.5和244.6 g C/m², 地下部分占总生物量碳库的86%; (2) 1982~2006年间中国草地生物量碳库呈微弱增加趋势, 平均年增量为0.2 Tg C, 但自20世纪80年代末, 草地生物量并未呈现显著的变化趋势; (3) 草地生物量的年际波动主要受1~7月降水的影响, 而与温度关系较弱. 不同草地类型之间生物量-气候关系存在一定差异, 较为干旱的荒漠草原和典型草原的生物量波动与降水关系密切; 高寒草甸的生物量则与1~7月均温显著正相关, 而与降水的关系较弱. 结果表明, 不同草地生态系统对未来气候变化的响应可能存在差异.     

高寒草地植物群落地上-地下净初级生产力权衡

植物生产力分配和权衡是植物生态学研究中的热点,反映植物对环境的适应性,是了解植物响应全球气候变化的关键。青藏高原作为气候变化敏感区,研究其植物地上与地下部分权衡对了解高寒草地植被生存策略和生态系统可持续发展具有重要意义。目前,生物量分配调控机制已被广泛研究,但主要使用植物根冠比和地上-地下生物量比等方法来表征植物分配模式,缺乏考虑因植物生长周期导致的差异。使用青藏高原高寒草地103个样点的地上和地下净初级生产力数据,分析高寒草甸和高寒草原两种主要草地类型的地上-地下净初级生产力权衡关系。利用气候因素和土壤因素等相关数据,结合方差分析、相关分析、相对重要性分析和结构方程模型的方法,探究环境因素对两种草地类型地上-地下净初级生产力权衡的影响机制。研究发现：（1）高寒草甸的地上净初级生产力、地下净初级生产力和土壤养分含量显著高于高寒草原（P<0.05）;（2）高寒草地植被生产力均向地下权衡（0.0199）,且高寒草原（0.0354）的权衡值高于高寒草甸（0.0173）;（3）结构方程模型发现,年平均降水量、土壤容重和土壤速效氮含量是影响高寒草甸生产力权衡的主导因子,而年平均温度和年平均降水量是影响高寒草原生产力权衡的主导因子。研究表明高寒草甸的生产力权衡主要受气候和土壤因素共同影响,而高寒草原主要受气候因素调节。研究为理解植物地上-地下生物量分配调控机制提供了新的视角和方法,对系统了解高寒草地生物量分配模式和准确预测高寒草地植被动态过程具有指导意义。     

Belowground biomass of alpine shrublands across the northeast Tibetan Plateau

Although belowground biomass (BGB) plays an important role in global cycling, the storage of BGB and climatic effects on it are remaining unclear. With data from 49 sites, we aimed to investigate BGB and its climatic controls in alpine shrublands in the Tibetan Plateau. Our study showed that the BGB (both grass‐layer and shrub‐layer biomass) storage in the alpine shrublands was 67.24 Tg, and the mean BGB density and shrublands area were 1,567.38 g/m² and 4.29 × 10⁴ km², respectively. Shrub layer had a larger BGB stock and accounted for 66% of total BGB this area, while only 34% was accumulated in the grass layer. BGB of the grass layer in the Tibetan Plateau shrublands was larger than that of Tibetan alpine grasslands, indicating that shrubland ecosystem played a critical importance role in carbon cycle on the Tibetan Plateau. The BGB in the grass layer and shrub layer demonstrated different correlations with climatic factors. Specifically, the effects from mean annual temperature on shrub‐layer BGB were not significant, similarly to the relationship between mean annual precipitation and grass‐layer BGB. But shrub‐layer BGB had a significantly positive relationship with mean annual precipitation (p < .05), while grass‐layer BGB showed a trend of decrease with increasing mean annual temperature (p < .05). Consequently, the actual and potential increases of BGB varied due to different increases of mean annual precipitation and temperature among different areas of the Tibetan Plateau. Therefore, in the warmer and wetter scenario, due to contrary relationships from mean annual precipitation and temperature on shrub‐layer BGB and grass‐layer BGB, it is necessary to conduct a long‐term monitoring about dynamic changes to increase the precision of assessment of BGB carbon sequestration in the Tibetan Plateau alpine shrublands.     

Above- and Belowground Biomass Allocation in Shrub Biomes across the Northeast Tibetan Plateau

Biomass partitioning has been explored across various biomes. However, the strategies of allocation in plants still remain contentious. This study investigated allocation patterns of above- and belowground biomass at the community level, using biomass survey from the Tibetan Plateau. We explored above- and belowground biomass by conducting three consecutive sampling campaigns across shrub biomes on the northeast Tibetan Plateau during 2011–2013. We then documented the above-ground biomass (AGB), below-ground biomass (BGB) and root: shoot ratio (R/S) and the relationships between R/S and environment factors using data from 201 plots surveyed from 67 sites. We further examined relationships between above-ground and below-ground biomass across various shrub types. Our results indicated that the median values of AGB, BGB, and R/S in Tibetan shrub were 1102.55, 874.91 g m^-2, and 0.85, respectively. R/S showed significant trend with mean annual precipitation (MAP), while decreased with mean annual temperature (MAT). Reduced major axis analysis indicated that the slope of the log-log relationship between above- and belowground biomass revealed a significant difference from 1.0 over space, supporting the optimal hypothesis. Interestingly, the slopes of the allometric relationship between log AGB and log BGB differed significantly between alpine and desert shrub. Our findings supported the optimal theory of above- and belowground biomass partitioning in Tibetan shrub, while the isometric hypothesis for alpine shrub at the community level.     

Patterns of above- and belowground biomass allocation in China’s grasslands: Evidence from individual-level observations

Above- and belowground biomass allocation not only influences growth of individual plants, but also influences vegetation structures and functions, and consequently impacts soil carbon input as well as terrestrial ecosystem carbon cycling. However, due to sampling difficulties, a considerable amount of uncertainty remains about the root: shoot ratio (R/S), a key parameter for models of terrestrial ecosystem carbon cycling. We investigated biomass allocation patterns across a broad spatial scale. We collected data on individual plant biomass and systematically sampled along a transect across the temperate grasslands in Inner Mongolia as well as in the alpine grasslands on the Tibetan Plateau. Our results indicated that the median of R/S for herbaceous species was 0.78 in China’s grasslands as a whole. R/S was significantly higher in temperate grasslands than in alpine grasslands (0.84 vs. 0.65). The slope of the allometric relationship between above- and belowground biomass was steeper for temperate grasslands than for alpine. Our results did not support the hypothesis that aboveground biomass scales isometrically with belowground biomass. The R/S in China’s grasslands was not significantly correlated with mean annual temperature (MAT) or mean annual precipitation (MAP). Moreover, comparisons of our results with previous findings indicated a large difference between R/S data from individual plants and communities. This might be mainly caused by the underestimation of R/S at the individual level as a result of an inevitable loss of fine roots and the overestimation of R/S in community-level surveys due to grazing and difficulties in identifying dead roots. Our findings suggest that root biomass in grasslands tended to have been overestimated in previous reports of R/S.     

Above‐ and belowground biomass allocation in Tibetan grasslands

Question: Optimal partitioning and isometric allocation are two important hypotheses in plant biomass allocation. We tested these two hypotheses at the community level, using field observations from Tibetan grasslands. Location: Qinghai‐Tibetan Plateau, China. Methods: We investigated allocation between above‐ and belowground biomass in alpine grasslands and its relationship with environmental factors using data collected from 141 sites across the plateau during 2001‐2005. We used reduced major axis (RMA) regression and general linear models (GLM) to perform data analysis. Results: The median values of aboveground biomass (M_A), belowground biomass (M_B), and root:shoot (R:S) ratio in alpine grasslands were 59.7, 330.5 g m^?2, and 5.8, respectively. About 90% of total root biomass occurred in the top 30 cm of soil, with a larger proportion in the alpine meadow than in the alpine steppe (96 versus 86%). As soil nitrogen and soil moisture increased, both M_A and M_B increased, but R:S ratio did not show a significant change. M_A scaled as 0.92 the power of M_B, with 95% confidence intervals of 0.82‐1.02. The slope of the isometric relationship between log M_A and log M_B did not differ significantly between alpine steppe and alpine meadow. The isometric relationship was also independent of soil nitrogen and soil moisture. Conclusions: Our results support the isometric allocation hypothesis for the M_A versus M_B relationship in Tibetan grasslands.     

高寒草甸主要植物地上地下生物量分布及退化对根冠比和根系表面积的影响

研究高寒草甸主要植物地上地下生物量的分布及其对退化的响应有利于了解高寒草甸的退化过程。该研究首先在西藏那曲生态环境综合观测研究站小嵩草围栏内(2009年围封)选择原生植被较好的地点随机选择小嵩草(Kobresia pygmaea)、矮嵩草(K.humilis)、紫花针茅(Stipa purpurea)、二裂委陵菜(Potentila bifurca)和青藏苔草(Carex moorcroftii)等5种植物斑块,选择退化斑块上(与原生植被相比)的二裂委陵菜和青藏苔草;然后用烘箱烘至恒重并称重,用扫描仪对根系进行扫描用于估算根系表面积;最后利用2因子方差分析检验不同物种个体、不同取样层次对地上和地下生物量的影响,利用物种和退化状态2因子方差分析检验对地上生物量的影响,以及利用物种、取样层次和退化状态3因子方差分析检验对二裂委陵菜和青藏苔草地下生物量、根冠比和根系表面积的影响。结果表明:在未退化条件下,小嵩草、矮嵩草和紫花针茅0~10cml地下生物量占0~30cm地下生物量的70%以上,0~30cm地下生物量占其地上地下总生物量的96%以上;二裂委陵菜(Potentilla bifurca)和青藏苔草(Carex moorcroftii)0~10cm地下生物量占0~30cml地下生物量的50%以上,其中二裂委陵菜0~30cm地下生物量占其地上地下总生物量的57%,青藏苔草0~30cm地下生物量占其地上地下总生物量的87%;对于退化草甸的主要植物,退化显著降低了二裂委陵菜的地上生物量、地下生物量和根冠比,对其根系表面积影响不大,但显著增加了青藏苔草的地上生物量,降低了其根冠比,对其地下生物量和根系表面积影响不大。     

青藏高原矮嵩草草甸地下和地上生物量分配格局及其与气象因子的关系

基于2006—2015年青海海北站10年生物量及气候因子监测数据,分析了青藏高原高寒矮嵩草草甸生物量的季节及年际动态,并探讨了气候因子对其影响。结果表明:(1)季节尺度上,高寒矮嵩草草甸地上生物量表现为单峰变化曲线,8月为其峰值点,为(345.72±27.01) g/m~2,代表了高寒草甸的地上净初级生产力。而地下根系的现存量变化较为复杂,其中5—7月呈现持续上升趋势,8月快速下降,之后9月份急剧,且各月份之间未达到显著水平(P0.05);年际尺度上,10年间高寒矮嵩草草甸地上生物量整体呈现波动增加趋势,2014年为其峰值点,达(437.12±32.01) g/m~2。地下生物量呈现波动性变化,变异较大,10年间平均值为(2566.99±138.11) g/m~2;(2)高寒草甸光合产物分配主要分布在地下,80%地下根系生物量分布于地表0—10 cm土层,且不同土层根系生物量占总地下生物量的比值在不同月份较为稳定。(3)气候因子中,大气相对湿度是影响高寒草甸地上生物量大小的主要因素;而气候因子对地下根系生物量的影响极为微弱。研究表明,高寒嵩草草甸对环境变化具有较高的自我调节能力,且高寒草甸的演化受制于人类干扰,而非气候变化。     

Plant height as a simple predictor of the root to shoot ratio: Evidence from alpine grasslands on the Tibetan Plateau

Question: Since increases in altitude and grazing intensity generally result in decreases in height growth of alpine grasslands, plant height may integrate effects of environmental stress and grazing disturbance and provide better assessments of the variation in root: shoot (R: S) biomass ratio than other variables. However, it is unclear if there is a general relationship between plant height and R:S ratio across grassland ecosystems. Such knowledge would be helpful for root biomass estimation in grasslands. Location: An altitudinal transect in the Gonghe Basin (2880–4040 m a.s.l.), northeast Tibetan plateau. Methods: We measured standing biomass both above‐ground and below‐ground, maximum plant height (MPH) and soil variables across 43 plots. Results: Climatic variables explained the variations in MPH and R: S ratio of undegraded grasslands better than soil variables (46–50% vs < 19%), while those of degraded grasslands generally showed insignificant correlations with climatic and soil variables. There was a general relationship between R: S ratio and MPH (negative, R²= 0.76, P< 0.001) across degraded and undegraded grasslands. The relationship was used to predict R: S ratio in 13 additional plots in steppe grasslands of Inner Mongolia, and good agreement of expected and observed values has been found (R²= 0.87, P < 0.001). Conclusions: MPH, that is relatively easy to measure, can be used to predict R:S ratio at plot to regional scales. It is promising to develop a new method for large‐scale estimation of root biomass in grasslands using MPH and shoot biomass avoiding tedious procedures of physical measuring of above and below‐ground biomass.     

内蒙古草甸草原与典型草原地下生物量与生产力季节动态及其碳库潜力

地下根系是草原生态系统的重要组成部分,其生物量及其净生产力对地下碳库具有直接与间接作用,分析地下生物量季节动态与周转对深入揭示草原生态系统碳库动态及其固碳速率与潜力具有重要意义。应用钻土芯法对不同利用方式或管理措施下内蒙古草甸草原、典型草原地下生物量动态及其与温度、降水的相关性研究表明:草甸草原和典型草原地上生物量季节动态均为单峰型曲线,与上月降水显著正相关(P0.05),但地下生物量季节动态表现为草甸草原呈"S"型曲线,典型草原则是双峰型曲线,与温度、降水相关性均不显著(P0.05);两种草原根冠比和地下生物量垂直分布均为指数函数曲线,根茎型草原地下生物量集中在土壤0—5 cm,丛生型草原地下生物量集中于土壤5—10 cm,根冠比值在生长旺季(7—8月份)最小。草甸草原地下净生产力及碳储量范围分别为2167—2953 g m-2a-1和975—1329 gC m-2a-1,典型草原为2342—3333 g m-2a-1和1054—1450 gC m-2a-1,地下净生产力及其碳储量约为地上净生产力及其碳储量的10倍,具有较大的年固碳能力,且相对稳定;地下净生产力与地上净生产力呈显著负相关性(P0.05);地下生物量碳库是地上生物量碳库的10倍左右,适度放牧可增加地下生产力,但长期过度放牧显著降低其地下生物量与生产力,并使其垂直分布趋向于浅层化。     

Estimation of biomass allocation and carbon density of Rhododendron simsii shrubland in the subtropical mountainous areas of China

Aims As an important potential carbon sink, shrubland ecosystem plays a vital role in global carbon balance and climate regulation. Our objectives were to derive appropriate regression models for shrub biomass estimation, and to reveal the biomass allocation pattern and carbon density in Rhododendron simsii shrubland.
Methods We conducted investigations in 27 plots, and developed biomass regression models for shrub species to estimate shrub biomass. The biomass of herb and litterfall were obtained through harvesting. Plant samples were collected from each plot to measure carbon content in different organs.
Important findings The results showed that the power and linear models were the most appropriate equation forms. The D and D²H (where D was the basal diameter (cm) and H was the shrub height (m)) were good predictors for organ biomass and total biomass of shrubs. All of the biomass models reached extremely significant level, and could be used to estimate shrub biomass with high accuracy. It was more difficult to predict leaf and annual branch biomass than stem biomass, because leaf and annual branch were susceptible to herbivores and inter-plant competition. The mean biomass of the shrub layer was 20.78 Mg·hm^-2, in which Rhododendron simsii and Symplocos paniculata biomass accounted for 93.63%. Influenced by both environment and species characteristics, the biomass of the shrub layer organs was in the order of stem > root > leaf > annual branch. The root:shoot ratio of the shrub layer was 0.32, which was less than other shrubs in subtropical regions. The relative higher aboveground biomass allocation reflected the adaptation of plants to the warm and humid environment for more photosynthesis. The mean total community biomass was 26.26 Mg·hm^-2, in which shrub layer, herb layer and litter layer accounted for 79.14%, 7.62% and 13.25%, respectively. Litter biomass was relatively high, which suggested that this community had high nutrient return. There were significant correlations among aboveground biomass, belowground biomass and total biomass of shrub layer and herb layer. The mean biomass carbon density of the community was 11.70 Mg·hm^-2 and the carbon content ratio was 44.55%. The carbon density was usually obtained using the conversion coefficient of 0.5 in previous studies, which could overestimate carbon density by 12.22%.