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1.
为明晰青藏高原高寒区阔叶林植被碳储量现状及其动态变化特征, 利用森林资源清查数据和标准样地实测数据, 估算了青藏高原高寒区(青海和西藏两省区)阔叶林植被的碳储量、固碳速率和固碳潜力。结果表明: 2011年青藏高原高寒区阔叶林植被碳储量为310.70 Tg, 碳密度为89.04 Mg·hm-2。六类阔叶林型(栎(Quercus)林、桦木(Betula)林、杨树(Populus)林、其他硬阔林、其他软阔林和阔叶混交林)中, 阔叶混交林的碳储量最大, 杨树林碳储量最小; 其他硬阔林碳密度最大, 其他软阔林碳密度最小。空间分配上碳储量和碳密度表现为: 乔木层>灌木层>凋落物层>草本层>枯死木层。不同龄级碳储量和碳密度总体表现为随林龄增加逐渐增大的趋势。阔叶林碳储量从2001年的304.26 Tg增加到2011年的310.70 Tg, 平均年固碳量为0.64 Tg·a-1, 固碳速率为0.19 Mg·hm-2·a-1。不同林型固碳速率表现为其他软阔林最大, 其他硬阔林最小; 不同龄级表现为成熟林最大, 幼龄林最小。阔叶林乔木层固碳潜力为19.09 Mg·hm-2, 且不同林型固碳潜力表现为栎林最大, 桦树林最小。三次调查期间阔叶林碳储量逐渐增加, 主要原因是近年来森林保护工程的开展使阔叶林生长健康良好。  相似文献   

2.
《植物生态学报》2018,42(3):397
高寒草甸是青藏高原的主要草地类型, 对青藏高原生态系统碳收支具有重要的调节作用。目前, 有关高寒草甸生态系统碳交换对气候变化的响应所知甚少, 尤其是降水变化会如何影响高寒草甸碳交换过程的相关研究非常匮乏。该文作者于2013和2014年的生长季(5-9月)在青藏高原纳木错地区高寒草甸进行多梯度人工增水实验, 设置对照和5个水分添加梯度, 分别增加0%、20%、40%、60%、80%和100%的降水, 以研究高寒草甸生态系统在不同降水量条件下的碳交换变化。增水处理后, 各处理梯度之间的土壤温度没有显著差异, 而土壤含水量在不同增水处理后出现显著变化, 相对于对照, 增水幅度越大, 对应的土壤含水量越高。综合2013和2014年的观测结果, 高寒草甸生态系统整体表现为碳吸收, 在20%增水处理中, 净生态系统碳交换(NEE)达到最大值, 随着模拟的降水梯度进一步增加, NEE逐渐下降; 增水处理对生态系统呼吸(ER)无显著影响; 总生态系统生产力(GEP)的变化趋势与NEE一致, 即随着增水梯度增大, GEP先增加, 并在增水20%处理达到最大值, 随后GEP开始降低。研究表明, 在高寒草甸生态系统, 水分是影响GEPNEE的重要因素, 对ER影响较弱; 未来适度的增水(20%-40%)能促进高寒草甸生态系统对碳的吸收。  相似文献   

3.
《植物生态学报》2018,42(8):831
为阐明青海省森林生态系统乔木层植被碳储量现状及其分布特征, 该研究利用240个标准样地实测的乔木数据, 估算出青海省森林生态系统不同林型处于不同龄级阶段的平均碳密度, 并结合青海省森林资源清查资料所提供的不同龄级的各林型面积, 估算了青海省森林生态系统乔木层的固碳现状、速率和潜力。结果表明: 1) 2011年青海省森林乔木层平均碳密度为76.54 Mg·hm -2, 总碳储量为27.38 Tg。云杉(Picea spp.)林、柏木(Cupressus funebris)林、桦木(Betula spp.)林、杨树(Populus spp.)林是青海地区的主要林型, 占青海省森林面积的96.23%, 占青海省乔木层碳储量的86.67%, 其中云杉林的碳储量(14.78 Tg)和碳密度(106.93 Mg·hm -2)最高。按龄级划分, 乔木层碳储量表现为过熟林>中龄林>成熟林>近熟林>幼龄林。2)青海省乔木层总碳储量从2003年的23.30 Tg增加到2011年的27.38 Tg, 年平均碳增量为0.51 Tg·a -1。乔木层固碳速率为1.06 Mg·hm -2·a -1, 其中柏木林的固碳速率最大(0.44 Mg·hm -2·a -1); 桦木林的固碳速率为负值(-1.06 Mg·hm -2·a -1)。3)青海省乔木层植被固碳潜力为8.50 Tg, 其中云杉林固碳潜力最高(3.40 Tg)。该研究结果表明青海省乔木层具有较大的固碳潜力, 若对现有森林资源进行合理管理和利用, 将会增加青海省森林的碳固存能力。  相似文献   

4.
《植物生态学报》2016,40(4):354
Aims
The concentration of CO2 and other greenhouse gases in the atmosphere has considerably increased over last century and is set to rise further. Forest ecosystems play a key role in reducing CO2 concentration in the atmosphere and mitigating global climate change. Our objective is to understand carbon storage and its distribution in forest ecosystems in Zhejiang Province, China.
Methods
By using the 8th forest resource inventory data and 2011-2012 field investigation data, we estimated carbon storage, density and its distribution in forest ecosystems of Zhejiang Province.
Important findings
The carbon storage of forest ecosystems in Zhejiang Province was 602.73 Tg, of which 122.88 Tg in tree layer, 16.73 Tg in shrub-herb layer, 11.36 Tg in litter layer and 451.76 Tg in soil layer accounting for 20.39%, 2.78%, 1.88% and 74.95% of the total carbon storage, respectively. The carbon storage of mixed broadleaved forests was 138.03 Tg which ranked the largest (22.90%) among all forest types. The young and middle aged forests which accounted for 70.66% of the total carbon storage were the main body of carbon storage in Zhejiang Province. The carbon density of forest ecosystems in Zhejiang Province was 120.80 t·hm-2 and that in tree layer, shrub-herb layer, litter layer and soil layer were 24.65 t·hm-2, 3.36 t·hm-2, 2.28 t·hm-2 and 90.51 t·hm-2, respectively. The significant relationship between soil organic carbon storage and forest ecosystem carbon storage indicated that soil carbon played an important role in shaping forest ecosystem carbon density. Carbon density of tree layer increased with age in natural forests, but decreased in the order over-mature > near-mature > mature > middle-aged > young forest in plantations. The proportions of young and middle aged forests were larger than any other age classes. Thereby, the carbon storage of forest ecosystems in Zhejiang Province could be increased through a proper forest management.  相似文献   

5.
《植物生态学报》2016,40(4):304
Aims
Carbon sequestration is the basic function and most primary service of forest ecosystems, and plays a vital role in mitigating the global climate change. However, carbon storage and allocation in forest ecosystems have been less studied at regional scales than at forest stand levels, and the results are subject to uncertainty due to inconsistent methodologies. In this study we aim to obtain relatively accurate estimates of forest carbon stocks and sequestration rate at a provincial scale (regional) based on plot surveys of plants and soils.
Methods
In consideration of the areas and distributions of major forest types, 212 sampling plots, covering different age classes and origins (natural forests vs. planted forests), were surveyed in Gansu Province in northern China. Field investigations were conducted for vegetation layers (trees, shrubs, herbs and litter), soil profiles, and sampling of both plant materials and soils for laboratory analyses. Regional carbon stocks were calculated by up-scaling the carbon densities of all forest types with their corresponding areas. Carbon sequestration rate was estimated by referencing the reports of national forest inventory data for different periods.
Important findings Forest carbon stocks at the provincial scale were estimated at 612.43 Tg C, including 179.04 Tg C in biomass and 433.39 Tg C in soil organic materials. Specifically, natural forests stored 501.42 Tg C, approximately 4.52 times than that of the plantations. Biomass carbon density in both natural forests and plantations showed an increasing trend with stand age classes, and was greater in natural forests than in plantations within the same age classes. Soil carbon density also increased with stand age classes in natural forests, but the highest value occurred at the pre-mature stage in plantations. The weighted average of regional biomass carbon density was at 72.43 Mg C·hm-2, with the average value of 90.52 Mg C·hm-2 in natural forests and 33.79 Mg C·hm-2 in plantations, respectively. In 1996, vegetation stored 132.47 Tg C in natural forests and 12.81 Tg C in plantations, respectively, and the values increased to 152.41 and 26.63 Tg C in 2011, with the mean carbon sequestration rates of 1.33 and 0.92 Tg C·a-1. Given that young and middle-aged forests account for a large proportion (62.28%) of the total forest areas, the region is expected to have substantial potential of carbon sequestration.  相似文献   

6.
《植物生态学报》2016,40(10):1028
Aims Climate warming strongly influences reproductive phenology of plants in alpine and arctic ecosystems. Here we focus on phenological shifts caused by warming in a typical alpine meadow on the Qinghai-Xizang Plateau. Our objective was to explore phenological responses of alpine plant species to experimental warming. Methods Passive warming was achieved using open-top chambers (OTCs). The treatments included control (C), and four levels of warming (T1, T2, T3, T4). We selected Kobresia pygmaea, Potentilla saundersiana, Potentilla cuneata, Stipa purpurea, Festuca coelestis and Youngia simulatrix as the focal species. Plant phenology was scored every 3-5 days in the growing season. The reproductive phenology phases of each species were estimated through fitting the phenological scores to the Richards function. Important findings Under soil water stress caused by warming, most plants in the alpine meadow advanced or delayed their reproductive events. As a result, warming significantly delayed phenological development of K. pygmaea. Warming significantly advanced reproductive phenology of P. saundersiana, S. purpurea and F. coelestis, but not of P. cuneata and Y. simulatrix. In addition, warming significantly shortened the average flowering duration of alpine plant species. The potentially warmer and drier growing seasons under climate change may shift the reproductive phenology of the alpine systems in similar pattern.  相似文献   

7.
《植物生态学报》2016,40(4):341
Aims
Forests represent the most important component of the terrestrial biological carbon pool and play an important role in the global carbon cycle. The regional scale estimation of carbon budgets of forest ecosystems, however, have high uncertainties because of the different data sources, estimation methods and so on. Our objective was to accurately estimate the carbon storage, density and sequestration rate in forest vegetation in Jilin Province of China, in order to understand the role of the carbon sink and to better manage forest ecosystems.
Methods
Vegetation survey data were used to determine forest distribution, size of area and vegetation types regionally. In our study, 561 plots were investigated to build volume-biomass models; 288 plots of shrubs and herbs were harvested to calculate the biomass of understory vegetation, and samples of trees, shrubs and herbs were collected to analyze carbon content. Carbon storage, density and sequestration rate were estimated by two forest inventory data (2009 and 2014), combined with volume-biomass models, the average biomass of understory vegetation and carbon content of vegetation. Finally, the distribution patterns of carbon pools were presented using ArcGIS soft ware.
Important findings
Understory vegetation biomass overall was less than 3% of the tree layer biomass, varying greatly among different forest types and even among the similar types. The carbon content of trees was between 45.80%-52.97%, and that of the coniferous forests was higher than that of the broadleaf forests. The carbon content of shrub and herb layers was about 39.79%-47.25% and 40%, respectively. Therefore, the vegetation carbon conversion coefficient was 0.47 or 0.48 in Jilin Province, and the conventional use of 0.50 or 0.45 would cause deviation of ±5.26%. The vegetation carbon pool of Jilin Province was at the upper range of regional carbon pool and had higher capacity of carbon sequestration. The value in 2009 and 2014 was 471.29 Tg C and 505.76 Tg C, respectively, and the total increase was 34.47 Tg C with average annual growth of 6.89 Tg C·a-1. The corresponding carbon sequestration rate was 0.92 t·hm-2·a-1. The carbon density rose from 64.58 t·hm-2 in 2009 to 66.68 t·hm-2 in 2014, with an average increase of 2.10 t·hm-2. In addition, the carbon storage of the Quercus mongolica forests and broadleaved mixed forests, accounted for 90.34% of that of all forests. The carbon increment followed the order of young > over-mature > near mature > middle-aged > mature forests. The carbon sequestration rate of followed the order of over-mature > young > near mature > middle-aged > mature forests. Both the carbon increment and the carbon sequestration rate of mature forests were negative. Furthermore, spatially the carbon storage and density were higher in the east than in the west of Jilin province, while the carbon increment was higher in northeast and middle east than in the west. The carbon sequestration rate was higher in Tonghua and Baishan in the south, followed by Jinlin in the middle and Yanbian in the east, while Baicheng and Songyuan, etc. in west showed negative values.  相似文献   

8.
中国寒温带不同林龄白桦林碳储量及分配特征   总被引:1,自引:0,他引:1       下载免费PDF全文
魏红  满秀玲 《植物生态学报》2019,43(10):843-852
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。  相似文献   

9.
《植物生态学报》2016,40(4):327
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.  相似文献   

10.
11.
《植物生态学报》2014,38(6):619
近20年来, 青藏高原高寒湿地经历了明显的气候变化, 从而导致多数湿地水位下降和氮沉降的增加。对于湿地生态系统来说, 水位下降意味着土壤通气性能的改善, 可能会导致土壤呼吸的增加; 而氮沉降的增加可能会降低土壤微生物生物量和pH值, 从而可能抑制土壤呼吸。为此, 在青海海北高寒草地生态系统国家野外科学观测研究站利用中宇宙(Mesocosm)实验方法, 探讨了青藏高原高寒泥炭型湿地土壤呼吸对水位降低和氮添加的响应。结果表明: (1)水位降低显著增强了土壤呼吸, 而氮添加对土壤呼吸的影响依赖于水位的变化: 对照水位下, 氮添加显著抑制土壤呼吸; 而水位降低时, 氮添加对土壤呼吸速率无显著影响。(2)土壤呼吸速率与地上生物量、枯落物累积量之间呈显著正相关关系, 而与根系生物量无显著相关关系。(3)水位降低显著提高了土壤呼吸的温度敏感性, 而氮添加对其无显著的影响。因此预测: 随着氮沉降的升高, 高寒泥炭湿地土壤CO2的排放量将会减少; 然而随着暖干化背景下水位的降低, 青藏高原高寒湿地会排放更多的CO2。  相似文献   

12.
张慧玲  杨万勤  汪明  廖姝  张川  吴福忠 《生态学报》2016,36(7):1967-1974
森林溪流木质残体是森林生态系统与水域之间物质循环和能量流动的主要联结之一,其碳、氮和磷贮量不仅可影响森林与溪流生态系统的结构和功能,而且与下游水体环境密切相关。因此,于2013年8月雨季以岷江上游典型高山森林为研究对象,调查了12条森林溪流木质残体的碳、氮和磷贮量分配特征,并汇算了研究区域内碳、氮和磷在溪流中单位面积的总贮量。结果表明,高山森林溪流木质残体碳、氮和磷的溪流单位面积总贮量分别为312.1 g/m2、809.5 mg/m2和110.9 mg/m2;在溪流中,木质残体碳、氮和磷贮量以径级为1—2.5 cm和2.5—5 cm的木质残体分布居多,分别共占碳、氮和磷总贮量的86.71%、87.20%和84.55%;木质残体碳、氮和磷贮量以Ⅴ腐烂级分配最多,分别共占碳、氮和磷总贮量的65.86%、67.86%和60.31%;尽管溪流各项特征与碳、氮和磷元素贮量的相关性不显著,但基本达到中度相关关系。这些结果为认识森林生态系统中以木质残体为载体的碳、氮和磷输出潜力提供了基础数据。  相似文献   

13.
Aims To estimate the size and spatial patterns of 3-m-deep soil inorganic carbon (SIC) stock across alpine grasslands on the Qinghai-Xizang Plateau.Methods We conducted a comprehensive investigation and collected soil samples from 342 3-m-deep cores and 177 50-cm-deep pits across the study area. Using Kriging interpolation, we interpolated site-level observations to the regional level. The distribution of SIC density was then overlaid with the regional vegetation map at a scale of 1:1000000 to calculate SIC stock of the alpine steppe and alpine meadow. Kruskal-Wallis tests were further conducted to examine the differences of SIC density between the two grassland types and among soil depths with 50 cm-depth intervals.Important findings The total SIC stock at depths of 50 cm, 1 m, 2 m and 3 m were estimated at 8.26, 17.82, 36.33 and 54.29 Pg C, with SIC density being 7.22, 15.58, 31.76 and 47.46 kg C·m-2, respectively. SIC density exhibited large spatial variability, with an increasing trend from the southeastern to the northwestern plateau. Much larger SIC stock was observed in the alpine steppe than alpine meadow, with the former accounting for 63%-66% of the total stock at depths of 50 cm, 1 m, 2 m and 3 m. A large amount of SIC stock was found in deep soils (1-3 m), amounting to approximately 2 times as much carbon stored in the top 1-m-deep soil layer. The vertical distributions of SIC density differed between the two grassland types. The highest proportions of SIC occurred in the upper 50 cm layer for the alpine steppe while the highest proportions occurred in 100-150 cm layer for the alpine meadow. These results highlight that a large amount of SIC is stored in deep soil layers, which should be considered in evaluating terrestrial carbon balance under global change scenario.  相似文献   

14.
高寒草甸是青藏高原的主要草地类型, 对青藏高原生态系统碳收支具有重要的调节作用。目前, 有关高寒草甸生态系统碳交换对气候变化的响应所知甚少, 尤其是降水变化会如何影响高寒草甸碳交换过程的相关研究非常匮乏。该文作者于2013和2014年的生长季(5-9月)在青藏高原纳木错地区高寒草甸进行多梯度人工增水实验, 设置对照和5个水分添加梯度, 分别增加0%、20%、40%、60%、80%和100%的降水, 以研究高寒草甸生态系统在不同降水量条件下的碳交换变化。增水处理后, 各处理梯度之间的土壤温度没有显著差异, 而土壤含水量在不同增水处理后出现显著变化, 相对于对照, 增水幅度越大, 对应的土壤含水量越高。综合2013和2014年的观测结果, 高寒草甸生态系统整体表现为碳吸收, 在20%增水处理中, 净生态系统碳交换(NEE)达到最大值, 随着模拟的降水梯度进一步增加, NEE逐渐下降; 增水处理对生态系统呼吸(ER)无显著影响; 总生态系统生产力(GEP)的变化趋势与NEE一致, 即随着增水梯度增大, GEP先增加, 并在增水20%处理达到最大值, 随后GEP开始降低。研究表明, 在高寒草甸生态系统, 水分是影响GEPNEE的重要因素, 对ER影响较弱; 未来适度的增水(20%-40%)能促进高寒草甸生态系统对碳的吸收。  相似文献   

15.
高寒灌丛草甸和草甸均是青藏高原广泛分布的植被类型, 在生态系统碳通量和区域碳循环中具有极其重要的作用。然而迄今为止, 对其碳通量动态的时空变异还缺乏比较分析, 对碳通量的季节和年际变异的主导影响因子认识还不够清晰, 不利于深入理解生态系统碳通量格局及其形成机制。该研究选取位于青藏高原东部海北站高寒灌丛草甸和高原腹地当雄站高寒草原化草甸年降水量相近的5年(2004-2008年)的涡度相关CO2通量连续观测数据, 对生态系统净初级生产力(NEP)及其组分, 包括总初级生产力(GPP)和生态系统呼吸的季节、年际动态及其影响因子进行了对比分析。结果表明: 灌丛草甸的CO2通量无论是季节还是年际累积量均高于草原化草甸, 并且连续5年表现为“碳汇”, 平均每年NEP为70 g C·m -2·a -1, 高寒草原化草甸平均每年NEP为-5 g C·m -2·a -1, 几乎处于碳平衡状态, 但其源/汇动态极不稳定, 在2006年-88 g C·m -2·a -1的“碳源”至2008年54 g C·m -2·a -1的“碳汇”之间转换, 具有较大的变异性。这两种高寒生态系统源/汇动态的差异主要源于归一化植被指数(NDVI)的差异, 因为NDVI无论在年际水平还是季节水平都是NEP最直接的影响因子; 其次, 灌丛草甸还具有较高的碳利用效率(CUE, CUE = NEP/GPP), 而年降水量和NDVI是决定两生态系统CUE大小的关键因子。两地区除了CO2通量大小的差异外, 其环境影响因子也有所不同。采用结构方程模型进行的通径分析表明, 灌丛草甸生长季节CO2通量的主要限制因子是温度, NEPGPP主要受气温控制, 随着气温升高而增加; 而草原化草甸的CO2通量多以季节性干旱导致的水分限制为主, 其次才是气温的影响, 受二者的共同限制。此外, 两生态系统生长季节生态系统呼吸主要受GPP和5 cm土壤温度的直接影响, 其中GPP起主导作用, 非生长季节生态系统呼吸主要受5 cm土壤温度影响。该研究还表明, 水热因子的协调度是决定青藏高原高寒草地GPPNEP的关键要素。  相似文献   

16.
大岗山毛竹林与常绿阔叶林碳储量及分配格局   总被引:2,自引:0,他引:2  
基于固定样地,对江西大岗山毛竹林与常绿阔叶林生态系统碳储量及分配格局进行了研究.结果表明:毛竹各器官碳含量介于42.22%~47.53%,其大小顺序依次为秆(47.53%)>枝(46.49%)>鞭(46.10%)>根(45.30%)>叶(42.22%).丝栗栲不同器官碳含量介于43.09%~45.53%,其干、叶、枝、...  相似文献   

17.
中国森林生态系统植被固碳现状和潜力   总被引:18,自引:0,他引:18  
根据近3次森林资源普查资料和六大林业工程规划估算了中国森林植被的固碳现状和潜力.我国森林植物的碳贮量从第4次森林清查(1989~1994年)的4220.45 Tg C增加到第6次森林清查(1999~2003年)的5156.71Tg C,平均年增长率为1.6%, 年固碳量为85.30 ~ 101.95Tg·a-1,主要集中在西藏、四川、内蒙古、云南、江西、广东、广西、福建和湖南等省份.根据我国林业工程建设规划,到2010年规划完成时,林业工程每年新增的固碳潜力为115.46 Tg·a-1,其中天然林资源保护工程、退耕还林工程、三北、长江流域等重点防护林建设工程、环北京地区防沙治沙工程和重点地区速生丰产用材林基地建设工程到2010年新增的固碳潜力分别为16.25、48.55、32.59、3.75和14.33 Tg·a-1.  相似文献   

18.
《植物生态学报》2017,41(9):953
Aims The bank of soil carbon of forests plays an important role in the global carbon cycle. Our aim is to understand the characteristics of soil carbon storage and its determinants in the forests in Shaanxi Province.Methods The data of forest inventory in 2009 and resampling in 2011 were used to analyze the characteristics of soil carbon storage and its determinants in the forest soil in Shaanxi Province.Important findings The soil carbon storage in the forests in Shaanxi Province was 579.68 Tg. Soil carbon storage of Softwood and Hardwood forests were the highest among all forest types, accounting for 36.35% of the whole province forest soil carbon storage. The forest soil carbon storage was 4.15 times greater in the natural forest (467.17 Tg) than that in the plantations. The young and middle-aged forests were the main contributors to the total carbon storage across all age groups, accounting for about 57.30% of the total forest soil carbon storage. The average soil carbon density of forests in Shaanxi Province was 90.68 t∙hm-2, in which the soil carbon density of Betula forests was the highest (141.74 t∙hm-2). Soil carbon density of different forest types were gradually decreased with soil depth. In addition, it was highest in middle-aged forest. Soil carbon density was higher in the natural forest ecosystems than that in the plantations within the each age group, indicating natural forest ecosystems have higher capacity of carbon sequestration. Differences in the spatial patterns between carbon storage and density indicated that carbon storage was related to forest coverage. The soil carbon density and storage of forests in Yulin were the lowest across the province. This suggests that, in order to enhance the regional carbon sequestration capacity in this region, we need to appropriately strengthen artificial afforestation activities and manage them scientifically and rationally. The soil carbon density of forests in Shaanxi Province decreased with the increase of longitude, latitude, and annual temperature, but increased with the increase of altitude and annual rainfall. This study provides data basis for provincial estimation of forest soil carbon bank in China.  相似文献   

19.
《植物生态学报》2016,40(4):395
Aims
This study was conducted to investigate carbon stocks in forest ecosystems of different stand ages in Anhui Province, and to identify the carbon sequestration potential of climax forests controlled by the natural environment conditions.
Methods
Data were collected based on field investigations and simulations were made with the BIOME4 carbon cycle model.
Important findings
Currently, the total forest carbon stocks in Anhui Province amounts to 714.5 Tg C: 402.1 Tg C in vegetation and 312.4 Tg C in soil. Generally, both the total and vegetation carbon density exhibit an increasing trend with the natural growth of forest stands. Soil carbon density increases from young to near mature forests, and then gradually decreases thereafter. Young and middle-aged forests account for 75% of the total forest area in Anhui Province, with potentially an additional 125.4 Tg C to be gained after the young and middle-aged forests reach near mature stage. Results of BIOME4 simulations show that potentially an additional 245.7 Tg C, including 153.7 Tg C in vegetation and 92 Tg C in soil, could be gained if the current forests are transformed into climax forest ecosystems in Anhui Province.  相似文献   

20.
Aims Our objective was to explore the vegetation carbon storages and their variations in the broad-leaved forests in the alpine region of the Qinghai-Xizang Plateau that includes Qinghai Province and Xizang Autonomous Region. Methods Based on forest resource inventory data and field sampling, this paper studied the carbon storage, its sequestration rate, and the potentials in the broad-leaved forests in the alpine region of the Qinghai-Xizang Plateau. Important findings The vegetation carbon storage in the broad-leaved forest accounted for 310.70 Tg in 2011, with the highest value in the broad-leaved mixed forest and the lowest in Populus forest among the six broad-leaved forests that include Quercus, Betula, Populus, other hard broad-leaved species, other soft broad-leaved species, and the broadleaved mixed forest. The carbon density of the broad-leaved forest was 89.04 Mg•hm2, with the highest value in other hard broad-leaved species forest and the lowest in other soft broad-leaved species forest. The carbon storage and carbon density in different layers of the forests followed a sequence of overstory layer > understory layer > litter layer > grass layer > dead wood layer, which all increased with forest age. In addition, the carbon storage of broad-leaved forest increased from 304.26 Tg in 2001 to 310.70 Tg in 2011. The mean annual carbon sequestration and its rate were 0.64 Tg•a1 and 0.19 Mg•hm2•a1, respectively. The maximum and minimum of the carbon sequestration rate were respectively found in other soft broad-leaved species forest and other hard broad-leaved species forest, with the highest value in the mature forest and the lowest in the young forest. Moreover, the carbon sequestration potential in the tree layer of broad-leaved forest reached 19.09 Mg•hm2 in 2011, with the highest value found in Quercus forest and the lowest in Betula forest. The carbon storage increased gradually during three inventory periods, indicating that the broad-leaved forest was well protected to maintain a healthy growth by the forest protection project of Qinghai Province and Xizang Autonomous Region.  相似文献   

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