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%.     

Carbon density and its spatial distribution in the Potentilla fruticosa dominated alpine shrub in Qinghai,China

Aims Shrub recovery is recognized as an important cause of the increase of carbon stocks in China, and yet there are great uncertainties in the carbon sink capacities of shrubs. Our objectives were to estimate carbon density and its spatial distribution in alpine shrubs.
Methods Eight sites in Potentilla fruticosa dominated shrublands across Qinghai, China were investigated. Plant biomass and carbon content in leaves, branches and stems, and roots were measured to analyze the biomass allocation and carbon density.
Important findings Mean carbon densities in biological carbon, litter, soil and whole ecosystem of P. fruticosa shrublands were 5088.54, 542.1, 35903.76 and 41534.4 kg·hm^-2, respectively. Carbon density in the shrub layer was more than 68% of the biological carbon density of the whole ecosystem and was mainly distributed in roots (49.5%-56.1%). Carbon density of the herbaceous layer was 22.5% of the biological carbon density of the whole ecosystem and was also mainly distributed in roots (59.6%-75.1%). The biological carbon density of P. fruticosa shrublands (5.08 t·hm^-2) was lower than the average carbon density of shrub communities in China (10. 88 t·hm^-2). Soil carbon density contributed the largest proportion (85.8%) of total carbon density in P. fruticosa shrublands.     

Biomass allocation and carbon density of Sophora moorcroftiana shrublands in the middle reaches of Yarlung Zangbo River,Xizang, China

Aims The expansion of shrublands is considered as one of the key reasons leading to the increase of carbon density in terrestrial ecosystems in China. In the present study, our aims were to explore the biomass allocation and carbon density of Sophora moorcroftiana shrublands in Xizang.
Methods We sampled the biomass of S. moorcroftiana shrubs from 18 sites in the middle reaches of Yarlung Zangbo River, Xizang. Using concentrations of different organs, we estimated the carbon density of different layers in S. moorcroftiana shrublands.
Important findings The plant cover rather than biomass volume (the product of cover and height) provided the best fit for aboveground biomass. The average of the total biomass was 5.71 Mg·hm^-2, ranging from 2.32 to 8.96 Mg·hm^-2. The average biomass of shrub layer, the main component of shrub ecosystem, was 4.08 Mg·hm^-2, accounting for 71% of the total biomass. The belowground biomass of shrub and herb layers was 2.08 and 0.86 Mg·hm^-2, respectively, which was higher than the corresponding aboveground biomass. The average biomass carbon density was 2.48 Mg·hm^-2. Shrub vegetation in the eastern part of the middle reaches has lower carbon density than that in the western part. The relatively high biomass allocation to roots to increase water and nutrient undertake as well as physical support for plants is an important strategy of S. moorcroftiana to cope with the arid environment on the Qinghai-Xizang Plateau. Moreover, the lower carbon density in the eastern part of the middle reaches might be due to the dry environment resulted from high temperature and evapotranspiration and enhanced human activities at low altitudes. The continuous decrease of evapotranspiration under scenarios of future climate change may lead to increase in carbon density in S. moorcroftiana shrublands.     

天童国家森林公园植被碳储量估算

以典型木荷-栲树群落、含苦槠的木荷-栲树群落、含杨梅叶蚊母树的木荷-栲树群落、披针叶茴香-南酸枣群落、枫香-马尾松群落、黄毛耳草-毛竹群落6种群落类型样地实测数据为基础,结合文献资料汇总,采用生物量相对生长方程法,研究了天童国家森林公园森林生态系统的植被碳储量、碳密度及其组分和空间分布特征.结果表明：野外调查的6种群落类型中,含苦槠的木荷-栲树群落碳储量（12113.92 Mg C）和碳密度（165.03 Mg C·hm^-2）均最高,披针叶茴香 南酸枣群落碳储量最低（680.95 Mg C）,其碳密度为101.26 Mg C·hm^-2.各群落类型中,常绿树种的碳储量均显著高于落叶树种,其碳密度范围分别为76.08～144.95和0.16～20.62 Mg C·hm^-2.各群落类型的乔木层各组分中,植株干的碳储量均最高.各林分类型中,常绿阔叶林碳储量最高,为23092.39 Mg C,占天童林区森林生态系统碳储量的81.7%,碳密度为126.17 Mg C·hm^-2.天童国家森林公园植被总碳储量为28254.22 Mg C,碳密度为96.73 Mg C·hm^-2.     

基于可加性生物量模型的大兴安岭东部主要林型森林植被碳储量及其分配

基于大兴安岭东部地区主要林型的生物量调查数据,建立了3个主要树种的一元可加性生物量模型,探讨了不同林型森林群落和乔木层、灌木层、草本层、凋落物层的碳储量及其分配规律.结果表明: 杜鹃-兴安落叶松林乔、灌、草、凋落物层碳储量分别为71.00、0.34、0.05和11.97 t·hm^-2,杜香-兴安落叶松林各层碳储量分别为47.82、0.88、0和5.04 t·hm^-2,杜鹃-兴安落叶松-白桦混交林分别为56.56、0.44、0.04、8.72 t·hm^-2,杜香-兴安落叶松-白桦混交林分别为46.21、0.66、0.07、6.16 t·hm^-2,杜鹃-白桦林分别为40.90、1.37、0.04、3.67 t·hm^-2,杜香-白桦林分别为36.28、1.12、0.18、4.35 t·hm^-2.林下植被为杜鹃的林分群落碳储量大于林下植被为杜香的林分;林下植被相似的情况下,森林群落碳储量大小顺序为:兴安落叶松林>兴安落叶松-白桦混交林>白桦林;不同林型群落碳储量不同,大小顺序为:杜鹃-兴安落叶松林(83.36 t·hm^-2)>杜鹃-兴安落叶松-白桦混交林(65.76 t·hm^-2)>杜香-兴安落叶松林(53.74 t·hm^-2)>杜香-兴安落叶松-白桦混交林(53.10 t·hm^-2)>杜鹃-白桦林(45.98 t·hm^-2)>杜香-白桦林(41.93 t·hm^-2),且不同林型森林群落碳储量垂直分配规律为:乔木层(85.2%～89.0%)>凋落物层(8.0%～14.4%)>灌木层(0.4%～2.7%)>草本层(0～0.4%).     

Carbon storage of the forests and its spatial pattern in Nei Mongol,China

Aims
Forest carbon storage in Nei Mongol plays a significant role in national terrestrial carbon budget due to its large area in China. Our objectives were to estimate the carbon storage in the forest ecosystems in Nei Mongol and to quantify its spatial pattern.
Methods
Field survey and sampling were conducted at 137 sites that distributed evenly across the forest types in the study region. At each site, the ecosystem carbon density was estimated thorough sampling and measuring different pools of soil (0-100 cm) and vegetation, including biomass of tree, grass, shrub, and litter. Regional carbon storage was calculated with the estimated carbon density for each forest type.
Important findings
Carbon storage of vegetation layer in forests in Nei Mongol was 787.8 Tg C, with the biomass of tree, litter, herbaceous and shrub accounting for 93.5%, 3.0%, 2.7% and 0.8%, respectively. Carbon density of vegetation layer was 40.4 t·hm^-2, with 35.6 t·hm^-2 in trees, 2.9 t·hm^-2 in litter, 1.2 t·hm^-2 in herbaceous and 0.6 t·hm^-2 in shrubs. In comparison, carbon storage of soil layer in forests in Nei Mongol was 2449.6 Tg C, with 79.8% distributed in the first 30 cm. Carbon density of soil layer was 144.4 t·hm^-2. Carbon storage of forest ecosystem in Nei Mongol was 3237.4 Tg C, with vegetation and soil accounting for 24.3% and 75.7%, respectively. Carbon density of forest ecosystems in Nei Mongol was 184.5 t·hm^-2. Carbon density of soil layer was positively correlated with that of vegetation layer. Spatially, both carbon storage and carbon density were higher in the eastern area, where the climate is more humid. Forest reserves and artificial afforestations can significantly improve the capacity of regional carbon sink.     

内蒙古森林生态系统碳储量及其空间分布

内蒙古森林面积居全国第一位, 林木蓄积量居第五位, 准确地估算该区域森林碳储量对于评估中国森林碳储量以及制定森林资源管理措施均具有重要意义。该研究基于内蒙古森林资源野外样方调查和室内分析, 评估了内蒙古森林生态系统的固碳现状, 估算了内蒙古森林生态系统不同林型和不同碳库(乔木、灌木、草本、凋落物和土壤碳库)的碳密度大小, 揭示了其空间分布特征。在此基础上估算了内蒙古森林碳储量大小及空间格局。结果表明: 1)内蒙古森林植被层碳储量为787.8 Tg C, 乔木层、凋落物层、草本层和灌木层分别占植被层总碳储量的93.5%、3.0%、2.7%和0.8%。内蒙古森林植被层平均碳密度为40.4 t·hm^-2, 其中, 乔木层、凋落物层、草本层和灌木层的碳密度分别为35.6 t·hm^-2、2.9 t·hm^-2、1.2 t·hm^-2和0.6 t·hm^-2。2)内蒙古森林土壤层(0-100 cm)碳储量为2449.6 Tg C, 其中0-30 cm的土壤碳储量最高, 占总碳储量的79.8%。0-10 cm、10-20 cm和20-30 cm的土壤碳储量分别占0-30 cm土壤碳储量的38.8%、34.1%和27.1%。内蒙古森林土壤平均碳密度为144.4 t·hm^-2。黑桦(Betula davurica)林土壤碳密度最高, 云杉(Picea asperata)林最小。土壤碳密度随土壤深度的增加而降低。3)内蒙古森林生态系统碳储量为3237.4 Tg C, 植被层和土壤层碳储量分别占森林生态系统碳储量的24.3%和75.7%。落叶松(Larix gmelinii)林总碳储量最高, 其次为白桦(Betula platyphylla)林、夏栎(Quercus robur)林、黑桦林、榆树(Ulmus pumila)疏林和山杨(Populus davidiana)林。内蒙古森林生态系统平均碳密度为184.5 t·hm^-2。土壤碳密度与植被碳密度呈显著正相关关系。4)内蒙古森林生态系统碳储量和碳密度的空间分布总体上为东部地区高、西部地区低的趋势。在降水量充沛的东部地区和降水偏少的中西部地区, 有针对性地开展森林保护区建设和人工造林, 可显著提升区域的碳汇能力。     

祁连山天老池流域灌丛地上生物量空间分

采用野外样地调查法,以祁连山寺大隆林区天老池流域高山灌丛为研究对象,建立灌丛地上生物量与易测因子(冠幅周长和灌丛丛高)之间的关系,采用面向对象分类法对研究区的高分辨率影像(GeoEye-1)的土地利用类型进行分类,提取出灌丛盖度的空间分布,建立灌丛地上生物量与盖度之间的关系式,估算灌丛地上总生物量.结果表明： 研究区灌丛地上总生物量为1.8×10³ t,单位面积地上生物量为1598.45 kg·hm^-2;灌丛地上生物量主要分布在海拔3000～3700 m范围内,并且阳坡(1.15×10³ t)>阴坡(0.65×10³ t).     

不同林龄格木人工林碳储量及其分配特征

在生物量调查的基础上,对广西7、29和32 a格木人工林生态系统碳储量及其分配特征进行了研究.结果表明: 格木各器官碳含量在509.0～572.4 g·kg^-1,大小顺序为:树干>树枝>树根>树皮>树叶;不同林龄间格木人工林的灌木层、草本层和凋落物层碳含量无显著差异;土壤层(0～100 cm)碳含量随土层深度的增加而降低,随林龄的增加而增大.7、29和32 a格木人工林乔木层碳储量分别为21.8、100.0和121.6 t·hm^-2,各器官碳储量大小顺序与碳含量一致;生态系统碳储量分别为132.6、220.2和242.6 t·hm^-2,乔木层和土壤层为主要碳库,占生态系统碳储量的97%以上.乔木层碳储量分配随着林龄的增加而增大,土壤碳储量分配则减小,而林龄对灌木层、草本层和凋落物层碳储量分配的影响无明显规律.     

黄土高原4种植被类型的细根生物量和年生产量

细根(≤2 mm)在陆地生态系统净初级生产力的分配中占有重要地位,在碳循环和水土保持方面具有重要意义. 本文采用土钻法和内生长法,以黄土高原刺槐人工林、落叶灌木、退耕草地和沙蒿群落4种主要植被类型为对象,研究0～40 cm土层细根生物量、垂直分布和细根年生产量. 结果表明： 细根生物量与纬度呈线性负相关. 4种植被类型0～40 cm土层细根生物量的大小顺序为落叶灌木(220 g·m^-2)>刺槐人工林(163 g·m^-2)≈退耕草地(162 g·m^-2)>沙蒿群落(79 g·m^-2). 退耕草地直径≤1 mm细根生物量占直径≤2 mm总细根生物量的74.1%,在4种植被类型中最高;4种植被类型细根生物量随着土层深度的增加而减少,最大值均出现在0～10 cm土层. 退耕草地0～10 cm土层细根生物量占0～40 cm土层总细根生物量的44.1%,显著高于其他3种植被类型;细根年生产量与纬度呈线性负相关. 4种植被类型0～40 cm土层细根年生产量大小顺序为退耕草地(315 g·m^-2·a^-1)>落叶灌木(249 g·m^-2·a^-1)>刺槐人工林(219 g·m^-2·a^-1)>沙蒿群落(115 g·m^-2·a^-1),其中退耕草地显著高于其他3种植被类型. 退耕草地0～10 cm土层细根生产量占0～40 cm土层总细根生产量的40.4%,在4种植被类型中最高. 退耕草地细根周转时间为0.51 a,低于其他3种植被类型.     

宁夏回族自治区森林生态系统固碳现状

根据宁夏回族自治区森林资源清查资料以及野外调查和室内分析的结果,研究了宁夏地区森林生态系统固碳现状,估算了该区森林生态系统的碳密度、碳储量,并分析了其空间分布特征.结果表明: 宁夏森林各植被层生物量大小顺序为: 乔木层(46.64 Mg·hm^-2)>凋落物层(7.34 Mg·hm^-2)>细根层(6.67 Mg·hm^-2)>灌草层(0.73 Mg·hm^-2).云杉类(115.43 Mg·hm^-2)和油松(94.55 Mg·hm^-2)的单位面积植被生物量高于其他树种.不同林龄乔木层碳密度中,过熟林最高,但由于幼龄林面积所占比例最大,其乔木层碳储量(1.90 Tg C)最大.宁夏地区森林生态系统平均碳密度为265.74 Mg C·hm^-2,碳储量为43.54 Tg C,其中,植被层平均碳密度为27.24 Mg C·hm^-2、碳储量为4.46 Tg C,土壤层碳储量是植被层的8.76倍.宁夏地区的森林碳储量整体呈南高北低分布,总量较低.这与其森林面积小和林龄结构低龄化有很大关系.随着林龄结构的改善和林业生态工程的进一步实施,宁夏森林生态系统将发挥巨大的固碳潜力.     

Effects of tillage and nitrogen addition rate on nitrogen metabolism,grain yield and protein content in wheat in lime concretion black soil region

Aims The purpose of this study was to determine a suitable combination of tillage method and nitrogen rate to improve wheat (Triticum aestivum) yield and protein content in lime concretion black soil.
Methods Under the field experimental conditions, three tillage methods (subsoiling and rotary tillage, rotary tillage, and conventional tillage) were used as the main treatments, and four nitrogen application rates (0, 120, 225 and 330 kg·hm^–2) were used as sub-treatments. Nitrogen assimilation after jointing stage, grain yield, and protein content were determined in wheat plants to study the effects of different tillage methods and nitrogen application rate on these variables.
Important findings Results showed that the glutamine synthetase (GS) activity, free amino acid content, and soluble protein content in wheat plants initially increased and then decreased during growth. The peaks of GS activity, free amino acid content, and soluble protein content occurred 10 days after flowering in the subsoiling treatment with 225 or 330 kg·hm^–2 nitrogen application rate, and at the flowering stage for other treatment combinations. Compared with the conventional tillage and rotary tillage, the bulk density of 10 to 40 cm soil in the subsoiling treatment was significantly reduced, and the soil total porosity and root dry weight were significantly increased. Tillage method and nitrogen application rate had a significant impact on grain yield and protein content in wheat plants. Grain yield and protein content were highest in the subsoiling treatment. Regardless of the tillage method, the grain yield and protein content both increased with increasing nitrogen application rate. The grain yield in the subsoiling treatment was highest with nitrogen application rate at 330 kg·hm^–2, whereas the outputs of conventional tillage and rotary tillage were peaked at nitrogen application rate of 225 kg·hm^–2. The grain proteincontent was highest at nitrogen application rate of 225 kg·hm^–2 under the three tillage methods. Thus, subsoiling with optimum nitrogen rate should be promoted in lime concretion black soil. Subsoiling increased grain yield and protein quality by improving soil conditions and the absorption of root systems for soil nitrogen.     

西南地区草地群落灌木植物盖度对生态系统碳库的影响

中国西南地区草地主要为暖性及热性草丛、灌草丛, 约占全国草地面积的1/10, 分析灌木植物盖度与草地碳库及其构成的关系对于准确评估尚处于次生演替阶段的南方草地碳储量具有重要意义。该研究基于野外实地调查, 将西南地区不同地貌类型的41个代表性草地样地依据灌木植物盖度划分为3种类型: 无灌木植物草地群落(灌木植物盖度为0)、低灌木植物盖度草地群落(灌木植物盖度0-10%)和高灌木植物盖度草地群落(灌木植物盖度10%-30%), 测定了群落地上、地下生物量和凋落物生物量以及植物和土壤碳含量, 计算碳密度。结果表明: 随着草地群落灌木植物盖度增大, 生态系统植被碳密度从0.304 kg·m ^-2增加到1.574 kg·m ^-2, 其中根系和凋落物碳库也呈增长趋势; 土壤碳密度从7.215 kg·m ^-2增加到9.735 kg·m ^-2, 生态系统碳密度从7.519 kg·m ^-2增加到11.309 kg·m ^-2。草地碳库构成中, 低灌木植物盖度草地群落的土壤碳库占生态系统碳库比例最小。草地群落灌木植物盖度增加改变了草地生态系统碳库构成并导致生态系统碳库增加, 建议在估算草地生态系统碳库时, 需要统筹考虑并兼顾南方地区草地群落灌木植物盖度变化。     

毛乌素沙地沙漠化逆转过程土壤颗粒固碳效应

为揭示毛乌素沙地沙漠化逆转过程中土壤颗粒的固碳效应,选择陕北榆林治沙区从流沙地、半固定沙地到林龄为20～55年生的灌木和20～50年生的乔木固沙林地,采用物理分组法分析了土壤砂粒、粉粒、黏粒结合碳的演变特征和累积速率.结果表明: 对比流沙地,土壤总有机碳及各颗粒碳含量在两种固沙林地均呈显著增加趋势,并以表层0～5 cm土壤碳含量增幅最高.从流沙地到55年生灌木和50年生乔木固沙林地,0～5 cm土层砂粒碳密度增速均为0.05 Mg·hm^-2·a^-1,粉粒碳密度增速分别为0.05和0.08 Mg·hm^-2·a^-1,而黏粒碳密度增速分别为0.02和0.03 Mg·hm^-2·a^-1.0～20 cm土层,两种林地各颗粒碳密度增速平均为0～5 cm土层的2.1倍.按此增速到50～55年生的固沙林地时,两种林地0～20 cm土层的砂粒碳、粉粒碳和黏粒碳密度分别比流沙地平均提高6.7、18.1、4.4倍,并且颗粒碳对总有机碳的累积贡献率平均为粉粒碳(39.7%)≈砂粒碳(34.6%)>黏粒碳(25.6%).综上,毛乌素沙地沙漠化逆转过程土壤颗粒均表现出显著的固碳效应,且以砂粒和粉粒为主要固碳组分.     

模拟氮沉降对华西雨屏区苦竹林细根特性和土壤呼吸的影响

细根在森林生态系统地下碳循环过程中具有核心地位.2007年11月-2009年11月,对华西雨屏区苦竹人工林进行了模拟氮沉降试验.氮沉降水平分别为对照(CK,0 g N·m^-2·a^-1)、低氮(5 g N·m^-2·a^-1)、中氮(15 g N·m^-2·a^-1)和高氮(30 g N·m^-2·a^-1)处理,研究氮沉降对苦竹人工林细根和土壤根际呼吸的影响.结果表明：不同处理氮沉降下,<1 mm和1～2 mm细根特性差异较大,与< 1 mm细根相比,1～2 mm细根的木质素、磷和镁含量更高,而纤维素、钙含量更低;氮沉降显著增加了<2 mm细根生物量,对照、低氮、中氮和高氮处理的细根生物量分别为(533±89)、(630±140)、(632±168)和(820±161) g·m^-2,氮、钾、镁元素含量也明显增加;苦竹林各处理年均土壤呼吸速率分别为(5.85±0.43)、(6.48±0.71)、(6.84±0.57)和(7.62±0.55) t C·hm^-2·a^-1,氮沉降对土壤呼吸有明显的促进作用;苦竹林的年均土壤呼吸速率与<2 mm细根生物量和细根N含量呈极显著线性相关.氮沉降使细根生物量和代谢强度增加,并通过增加微生物活性促进了根际土壤呼吸.     

Biomass allocation patterns of Loropetalum chinense

Aims Biomass is the most fundamental quantitative character of an ecosystem. Biomass allocation patterns reflect the strategies of plants to adapt various habitat conditions and play a vital role in evolution, biodiversity conservation and global carbon cycle. Loropetalum chinense shrub is one of the most dominant shrub types in subtropical China. The objectives of this study were to quantify the allometric relationships and the biomass allocation pattern among organs, and to investigate the effects of body size, shrub regeneration origin and site factors on allometry and biomass allocation.
Methods Individual samples of L. chinense were harvested from shrublands in subtropical China and were further divided into leaves, stems and roots. The allometric relationships between different organs were modeled with standard major axis (SMA) regression and the biomass allocation to different organs was quantified. The effects of body size, shrub regeneration origin and other habitat factors on allometry and allocation were examined using Pearson’s correlation analysis and multiple linear regressions.
Important findings The isometric scaling relationships between shoot and root changed to allometric relationships with increasing basal diameter. The scaling relationships between leaf and stem and between leaf and root were isometric for smaller diameter classes, while for larger diameter classes they were allometric. These relationships were significantly different among shrub regeneration origin types. The scaling relationships between different organs were not affected by habitat factors; while the coverage of shrub layer and slope affected biomass allocation due to their influences on the allometric relationships between different organs at the initial stage of growth. The mean dry mass ratios of leaf, stem, root and the mean root to shoot ratio were 0.11, 0.55, 0.34 and 0.65, respectively. With the increase of basal diameter class, stem mass ratio (0.50-0.64) increased, while leaf mass ratio (0.12-0.08) and root mass ratio (0.38-0.28) decreased, and consequently root to shoot ratio (0.91-0.43) also decreased. In secondary shrublands, the leaf mass ratio was 0.12 and the root mass ratio was 0.33, while these values were 0.07 and 0.36 respectively in natural shrublands. The ratio of aboveground allocation was significantly correlated to shrub layer coverage (r = 0.44, p < 0.05). Leaf mass ratio was significantly correlated to slope (r = -0.36, p < 0.05) and root mass ratio was significantly correlated to mean annual temperature (r = 0.34, p < 0.05). Results showed that with the increase of body size, the scaling relationships between different organs of L. chinense changed from isometric to allometric, and more biomass was allocated to aboveground part, and concretely, to stems. Human disturbance affected biomass allocation by its influences on the allometric relationships between different organs, and by increasing biomass allocation to leaves and decreasing allocation to roots. Reduced light resource promoted the biomass allocation to aboveground part, and higher slope resulted in decreased biomass allocation to leaves, while higher mean annual temperature promoted biomass allocation to roots. The variation in annual precipitation had no significant influences on biomass allocation. The biomass allocation strategies of L. chinense partially support the optimal partitioning theory.     

中国寒温带不同林龄白桦林碳储量及分配特征

为了解中国寒温带地区不同林龄白桦林生态系统碳储量及固碳能力, 在样地调查基础上, 以大兴安岭地区25、40与61年白桦(Betula platyphylla)林生态系统为研究对象, 对其乔木层、林下地被物层(灌木层、草本层、凋落物层)、土壤层(0-100 cm)碳储量与分配特征进行调查研究。结果表明白桦林乔木层各器官碳含量在440.7-506.7 g·kg ^-1之间, 各器官碳含量随着林龄的增长而降低; 灌木层、草本层碳含量随林龄的增加呈先降后升的变化趋势; 凋落物层碳含量随林龄增加而降低; 土壤层(0-100 cm)碳含量随林龄增加而显著升高, 随着土层深度的增加而降低。白桦林生态系统各层次碳储量均随林龄的增加而明显升高。25、40与61年白桦林乔木层碳储量分别为11.9、19.1和34.2 t·hm ^-2, 各器官碳储量大小顺序表现为树干>树根>树枝>树叶, 树干碳储量分配比例随林龄增加而升高。25、40与61年白桦林生态系统碳储量分别为77.4、180.9和271.4 t·hm ^-2, 其中土壤层占生态系统总碳储量的81.6%、87.7%和85.9%, 是白桦林生态系统的主要碳库。随林龄增加, 白桦林年净生产力(2.0-4.4 t·hm ^-2·a ^-1)、年净固碳量(1.0-2.1 t·hm ^-2·a ^-1)均出现增长, 老龄白桦林仍具有较强的碳汇作用。     

Distribution of biomass in relation to environments in shrublands of temperate China

Aims Shrubland is one of the most widely distributed vegetation types in northern China. Previous studies on pattern and dynamics of plant biomass have been focused on forest and grassland ecosystems, while relevant knowledge on shrubland ecosystems is lacking. It is important to include shrublands in northern China to improve the accuracy in estimating the terrestrial ecosystem biomass in China.
Methods Based on investigations and samplings from 433 shrubland sites, we explored the distribution and allocation patterns of biomass in relation to climatic and soil nutrient factors of shrublands of temperate China.
Important findings The average shrubland biomass density in northern China is 12.5 t·hm^-2. It decreases significantly from temperate deciduous shrubland in northeast to desert shrubland in northwest. The average biomass density of temperate deciduous shrubland, alpine shrubland, and desert shrubland is 14.4, 28.8, and 5.0 t·hm^-2, respectively. Within temperate deciduous shrublands, plant biomass is lower in North China than in Northeast China. The average aboveground and belowground biomass density of shrub layer is 4.5 and 5.4 t·hm^-2, respectively; while that of grass layer is 0.8 and 1.8 t·hm^-2, respectively. Environmental factors affect biomass allocation across different plant organs. The belowground-aboveground biomass ratio of shrub exhibits no significant changes with environmental variables. The leaf-stem ratio increases with annual precipitation, and leaf biomass is low in arid region.     

甘肃省森林碳储量现状与固碳速率

针对森林碳平衡再评估的重要性和区域尺度森林生态系统碳库量化分配的不确定性, 该研究依据全国森林资源连续清查结果中甘肃省各森林类型分布的面积与蓄积比重以及林龄和起源等要素, 在甘肃省布设212个样地, 经野外调查与采样、室内分析, 并对典型样地信息按照面积权重进行尺度扩展, 估算了甘肃省森林生态系统碳储量及其分布特征。结果表明: 甘肃省森林生态系统总碳储量为612.43 Tg C, 其中植被生物量碳为179.04 Tg C, 土壤碳为433.39 Tg C。天然林是甘肃省碳储量的主要贡献者, 其值为501.42 Tg C, 是人工林的4.52倍。天然林和人工林的植被碳密度均表现为随林龄的增加而增加的趋势, 同一龄组天然林植被碳密度高于人工林。天然林土壤碳密度从幼龄林到过熟林逐渐增加, 但人工林土壤碳密度最大值主要为近熟林。全省森林植被碳密度均值为72.43 Mg C·hm^-2, 天然林和人工林分别为90.52和33.79 Mg C·hm^-2。基于森林清查资料和标准样地实测数据, 估算出全省天然林和人工林在1996年的植被碳储量为132.47和12.81 Tg C, 2011年分别为152.41和26.63 Tg C, 平均固碳速率分别为1.33和0.92 Tg C·a^-1。甘肃省幼、中龄林面积比重较大, 占全省的62.28%, 根据碳密度随林龄的动态变化特征, 预测这些低龄林将发挥巨大的碳汇潜力。     

黄土丘陵区微地形对草地植物群落结构组成和功能特征的影响

对黄土丘陵区微地形(阳坡坡上、中、下部,坡顶,阴坡坡上、中、下部)条件下草地植物群落进行群落组成调查和地上、地下生物量测定,分析微地形对草地植物群落结构组成和功能特征的影响.结果表明： 研究区内草地植物群落主要由菊科、禾本科和豆科物种组成.群落地上和地下生物量以及根系年生长量分别为164.12 g·m^-2、1044.87 g·m^-2、731.77 g·m^-2·a^-1.群落地上和地下生物量以及根系年生长量在不同坡向的大小均为：阴坡>阳坡>坡顶.在阴坡,群落生物量和根系年生长量的大小为：坡下部>坡中部>坡上部>坡顶部,阳坡群落生物量在不同坡位的大小顺序与阴坡不同.根系生长主要集中在0～20 cm土层,且从上到下逐渐减小.根系周转率的平均值为0.75 a^-1,在不同微地形条件下不同土层内大小不同.