Organic carbon concentrations and isotope ratios of sediments from the Laptev Sea

Stable carbon isotope ratios in the organic fraction of surface sediments from the Laptev Sea shelf were analyzed in order to study the modern distribution pattern of terrestrial organic matter. The delta13Corg signature of the surface sediments range from -26.6? near the coastal margin to -22.8? in the north towards the outer shelf. Characterizing the possible sources of organic matter by their delta13Corg signature reveals that the terrestrial influence reaches further north in the eastern than in the western Laptev Sea. Downcore records of the delta13Corg, measured on three AMS 14C-dated cores from water depths between 46 and 77 m, specify the spatial and temporal changes in the deposition of terrestrial organic matter on the Laptev Sea shelf during the past 12.7 ka. The major depositional changes of terrestrial organic matter occurred between 11 and 7 ka and comprised the main phase of the southward retreat of the coastline and of the river depocenters due to the postglacial sea level rise.

Evaluating, predicting and mapping belowground carbon stores in Kenyan mangroves.

Despite covering only approximately 138,000 km2, mangroves are globally important carbon sinks with carbon density values 3 to 4 times that of terrestrial forests. A key challenge in evaluating the carbon benefits from mangrove forest conservation is the lack of rigorous spatially resolved estimates of mangrove sediment carbon stocks; most mangrove carbon is stored belowground. Previous work has focused on detailed estimations of carbon stores over relatively small areas, which has obvious limitations in terms of generality and scope of application. Most studies have focused only on quantifying the top 1m of belowground carbon (BGC). Carbon stored at depths beyond 1m, and the effects of mangrove species, location and environmental context on these stores, is poorly studied. This study investigated these variables at two sites (Gazi and Vanga in the south of Kenya) and used the data to produce a country-specific BGC predictive model for Kenya and map BGC store estimates throughout Kenya at spatial scales relevant for climate change research, forest management and REDD+ (Reduced Emissions from Deforestation and Degradation). The results revealed that mangrove species was the most reliable predictor of BGC; Rhizophora muronata had the highest mean BGC with 1485.5t C ha-1. Applying the species-based predictive model to a base map of species distribution in Kenya for the year 2010 with a 2.5m2 resolution, produced an estimate of 69.41 Mt C (± 9.15 95% C.I.) for BGC in Kenyan mangroves. When applied to a 1992 mangrove distribution map, the BGC estimate was 75.65 Mt C (± 12.21 95% C.I.); an 8.3% loss in BGC stores between 1992 and 2010 in Kenya. The country level mangrove map provides a valuable tool for assessing carbon stocks and visualising the distribution of BGC. Estimates at the 2.5m2 resolution provide sufficient detail for highlighting and prioritising areas for mangrove conservation and restoration.

我国主要森林生态系统碳循环研究

作者广泛收集了近二十年来我国森林生物量生产力、土壤剖面有机质含量、凋落物现存量、年凋落量、凋落物分解等方面的研究资料，以及国内外土壤呼吸的相关资料，把森林作为一个自然的生态系统，从生物自身循环的角度系统地研究了我国森林在全球变化中的地位和作用提供了基础数据。主要得到以下几个方面的研究结果： 1、基于上述资料，采用林业部规划院1989-1993年的最新统计的我国不同森林类型的面积（不包括经济林和竹林，台湾省未计入），估算了我国森林生态系统总碳贮量。森林生态系统有机碳库包括植被、土壤和凋落物层三个分室，我国主要森林生态系统的碳贮量为281.16 * 10~8吨，其中植被碳库为62.00 * 10~8吨，占总碳库的22.2%;土壤碳库为210.23 * 10~8吨，占总碳库的74.6%;凋落物层的碳贮量为8.92 * 10~8吨，占总量的3.2%。我国森林生态系统碳贮量由大到小的顺序是：落叶阔叶林、暖性针叶林、常绿和常绿落叶阔叶林、云冷杉林、落叶松林、硬叶常绿阔叶林、温性针叶林、针叶和针阔混交林、阔叶红松林、热带林、樟子松林，前5类森林碳贮量占总贮量的87%，是我国森林主要的碳库。 2、分析了我国森林生态系统各个分室的碳密度特点。我国森林生态系统的平均碳密度是258.83t/ha，基本趋势是随纬度的增加而增加。其中植被的平均碳密度是57.07t/ha，随纬度的增加而减小;土壤碳密度约是植被碳密度3.4倍，其区域特点与植被碳密度呈相反趋势，随纬度升高而增加，作者根据所选117个样本建立了土壤有机碳密度与水热因子的模拟方程;凋落物层平均碳密度是8.21t/ha，随水热因子的改善而减小。这些结果为研制森林生态系统仿真模型提供了基础。 3、分析了我国森林生态系统的主要碳平衡通量，对中国森林生态系统的碳源与碳汇作初步评价，为减缓我国二氧化碳排放提供理论基础。结果表明我国森林生态系统在与大气的气体交换中表现为碳汇，年通量为4.80 * 10~8吨C/年。基本规律是随纬度的升高，即从热带向寒带，碳汇功能下降，这取决于系统碳收支的各个通量之间的动态平衡;阔叶林的固碳能力大于针叶林。 4、初步评价了我国森林生态系统在碳循环中的作用。我国生物物质燃烧、化石燃料燃烧、人口呼吸每所释放的总碳量为9.87 * 10~8吨/年，而我国森林生态系统可以吸收其中的48.7%。

长白山阔叶红松林生态系统碳密度对采伐干扰的响应研究

本研究以长白山地区原始和次生的阔叶红松林为对象，在2007和2008年共建立了8种类型10块1 ha样地。通过野外调查和取样分析，得到各样地森林生态系统的植物、枯死物和土壤碳密度值，并结合采伐样地经营历史情况（采伐时间和强度），得到长白山地区原始阔叶红松林生态系统碳密度参考值和次生阔叶红松林生态系统碳密度对采伐强度和植被恢复时间的响应特征。在此基础上，通过建立阔叶红松林乔木碳密度与生态系统碳密度的回归关系，并结合露水河林业局3个时期（1987、1995和2003年）的小班数据和原始林碳密度参考值，估算露水河林业局林业用地3个时期和潜在的碳储量。主要研究结果如下： （1）原始阔叶红松林生态系统碳密度参考值：植被、枯死物、土壤和生态系统碳密度值分别为149.18±54.57、20.93±14.33、156.39±14.99、326.50±34.52 t•ha-1。其中下木层、乔木层碳密度分别是1.55±0.74，147.63±54.39 t•ha-1；粗木质残体和枯枝落叶碳密度分别是15.64±13.66、5.29±1.72 t•ha-1；0-50 cm的各层土壤碳密度分别为62.14±6.31、46.17±10.25、27.82±6.20、12.57±4.67、7.69±2.20 t•ha-1。 （2）原始阔叶红松林生态系统碳密度对采伐干扰的响应特征为：采伐干扰均会减少生态系统碳密度；其中植被碳库对采伐干扰最为敏感且碳密度值均减少，采伐强度直接决定植被碳密度的减少程度和恢复时间；枯死物碳库对采伐干扰最不敏感且碳密度值是先增加后减少，采伐强度和植被恢复时建群树种决定枯死物碳密度的变化程度；土壤碳库对高强度采伐干扰敏感，采伐强度决定土壤碳密度是否发生变化。 （3）估算露水河林业局林业用地在1987、1995、2003年和潜在的森林生态系统碳储量分别为29.58×106 t、27.55×106 t、30.46×106 t和38.75×106 t。

冰期间冰期转换过程中陆地碳库的演化规律研究

Terrestrial carbon pool mainly consists of three parts: the active carbon pool of the vegetation，soil carbon pools and the lithosphere carbon pool of less activity. Under natural conditions，vegetation carbon pools，soil carbon exchange with atmospheric carbon pool directly，the lithosphere participate in the global carbon cycle by weathering Our research have coverd the soil organic carbon density，plant biomass (carbon density)，plant net primary productivity of past 40 ka，and the magnetic susceptibility，grain size，weathering of silicate carbon consumption of past 140 ka. This study has achieved a number of conclusions as shown below. 1 Silicate weathering CO2 consumption in the long-term fluctuations with a similar deep-sea δ18O record，demonstate that it not only can be used as one of the instructions of terrestrial carbon pool，even can be used as indicators of global environmental change; silicate weathering CO2 consumption and susceptibility shown a clear relationship between lag or lead at different times，it maybe lies on how the climate change. 2 Soil carbon pools in line with the global climate on long-term，but the relationship between soil carbon density and climate change was not obvious in short-term change，generally lags behind the changes in other climatic proxies. 3 Carbon density of vegetation and other proxy indicators of climate have good consistency. In the study period，perform the cycle of glacial and interglacial completely，but because of the ancient vegetation of accurate information is difficult to obtain，it did not reflect rapid response to climate change. 4 Cooling events is conducive to soil organic carbon accumulation but not conducive to weathering and vegetation growth. High temperature environment is not conducive to the accumulation of soil organic carbon. 5 In the deglacial time from the last glacial maximum to the Holocene，weathering carbon consumption seems earlier than vegetation and soil organic carbon in the fluctuant increase.Does it imply that the effects of silicate weathering is an important factor to the global carbon cycle and global climate change? It is worth further research.

Spatial statistics to estimate peat thickness using airborne radiometric data

Soil carbon stores are a major component of the annual returns required by EU governments to the Intergovernmental Panel on Climate Change. Peat has a high proportion of soil carbon due to the relatively high carbon density of peat and organic-rich soils. For this reason it has become increasingly important to measure and model soil carbon stores and changes in peat stocks to facilitate the management of carbon changes over time. The approach investigated in this research evaluates the use of airborne geophysical (radiometric) data to estimate peat thickness using the attenuation of bedrock geology radioactivity by superficial peat cover. Remotely sensed radiometric data are validated with ground peat depth measurements combined with non-invasive geophysical surveys. Two field-based case studies exemplify and validate the results. Variography and kriging are used to predict peat thickness from point measurements of peat depth and airborne radiometric data and provide an estimate of uncertainty in the predictions. Cokriging, by assessing the degree of spatial correlation between recent remote sensed geophysical monitoring and previous peat depth models, is used to examine changes in peat stocks over time. The significance of the coregionalisation is that the spatial cross correlation between the remote and ground based data can be used to update the model of peat depth. The result is that by integrating remotely sensed data with ground geophysics, the need is reduced for extensive ground-based monitoring and invasive peat depth measurements. The overall goal is to provide robust estimates of peat thickness to improve estimates of carbon stocks. The implications from the research have a broader significance that promotes a reduction in the need for damaging onsite peat thickness measurement and an increase in the use of remote sensed data for carbon stock estimations.

Fullerenes generated from porous structures

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

(Table 1) Bioclimatic subzones and soil characteristics along the Yamal Arctic Transect, northwestern Siberia

Sustainability of tundra vegetation under changing climate on the Yamal Peninsula, northwestern Siberia, home to the world's largest area of reindeer husbandry, is of crucial importance to the local native community. An integrated investigation is needed for better understanding of the effects of soils, climate change and grazing on tundra vegetation in the Yamal region. In this study we applied a nutrient-based plant community model - ArcVeg - to evaluate how two factors (soil organic nitrogen (SON) levels and grazing) interact to affect tundra responses to climate warming across a latitudinal climatic gradient on the Yamal Peninsula. Model simulations were driven by field-collected soil data and expected grazing patterns along the Yamal Arctic Transect (YAT), within bioclimate subzones C (high arctic), D (northern low arctic) and E (southern low arctic). Plant biomass and NPP (net primary productivity) were significantly increased with warmer bioclimate subzones, greater soil nutrient levels and temporal climate warming, while they declined with higher grazing frequency. Temporal climate warming of 2 °C caused an increase of 665 g/m**2 in total biomass at the high SON site in subzone E, but only 298 g/m**2 at the low SON site. When grazing frequency was also increased, total biomass increased by only 369 g/m**2 at the high SON site in contrast to 184 g/m**2 at the low SON site in subzone E. Our results suggest that high SON can support greater plant biomass and plant responses to climate warming, while low SON and grazing may limit plant response to climate change. In addition to the first order factors (SON, bioclimate subzones, grazing and temporal climate warming), interactions among these significantly affect plant biomass and productivity in the arctic tundra and should not be ignored in regional scale studies.