上海城市森林群落结构对固碳能力的影响

基于上海市区航片数字化、代表性样地群落调查、优势树种生理参数测定和CITYgreen模型软件,对上海城市森林固碳能力进行评估,并探讨群落结构对固碳能力的影响。结果表明:上海城市森林总碳贮量为478472t,年碳固定量为6256t.a-1,平均碳密度为47.80t.hm-2,平均固碳率为0.625t.hm-2.a-1;城市森林的固碳率与郁闭度及群落密度均呈极显著正相关,而与平均胸径负相关;碳密度与郁闭度及平均胸径均呈极显著正相关,而与群落密度无显著相关;低密度高胸径群落比中、高密度群落具有更高的碳密度;混交林碳密度高于纯林,复层林碳密度和固碳率都高于单层林,且固碳能力的差异在一定程度上受平均胸径、群落密度等因子影响。     

中国湿地生态系统固碳现状和潜力

固碳是湿地重要的生态系统服务功能之一.通过资料调研和分析,对我国湿地的固碳速率和固碳潜力进行了评价.结果表明,我国各种类型沼泽湿地总的固碳能力为4.91TgC·a-1.红树林湿地和沿海盐沼的固碳速率最高.我国湖泊湿地的固碳潜力为1.98TgC·a-1, 其中东部平原地区湖泊湿地的固碳速率和能力最大.恢复湿地可以提高我国陆地生态系统的固碳潜力,其中退田还湖和退田还泽的固碳潜力分别为30.26 GgC·a-1和0.22 GgC·a-1,而湿地保护工程在2005～2010年之间的固碳潜力为6.57 GgC·a-1.     

西双版纳地区人工橡胶林生物量、固碳现状及潜力

选取西双版纳地区橡胶树适宜和次适宜种植区6个年龄段(5、9、14、19、23、26年生)的橡胶林,对其生长参数进行了实测,利用生物量回归方程得到了橡胶林的生物量和固碳量,并探讨了橡胶林的固碳潜力。结果表明:西双版纳适宜种植区橡胶林地上净初级生产力(ANPP)在19年生时达到最大,为(16.22±3.47)t.hm-2.a-1;次适宜种植区橡胶林ANPP在23年生时达到最大,为(8.65±3.46)t.hm-2.a-1。适宜和次适宜种植区橡胶林地上总生物量(WA)最大值分别为205.82和139.76t.hm-2。对应的生物量内禀增长率分别为21%和14%。适宜和次适宜种植区橡胶林碳储量最大值分别达123.49和83.86tC.hm-2,均明显低于西双版纳热带季节雨林生态系统的总固碳量(311.41±66.46)tC.hm-2,适宜种植区橡胶林固碳量略高于世界热带森林的平均水平(121tC.hm-2)。截至2008年,西双版纳橡胶林总固碳量约为16.54×106tC。     

中国森林生态系统植被固碳现状和潜力

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.     

中国农田土壤生态系统固碳现状和潜力

研究在搜集和整理全国典型农业长期定位实验站数据的基础上,通过自建经验公式估算了不同管理措施下我国农田土壤的固碳能力和潜力.通过施用化肥、秸秆还田、施用有机肥和免耕措施,目前对我国农田土壤碳增加的贡献分别为40.51、23.89、35.83 Tg·a-1和1.17 Tg·a-1,合计为101.4 Tg·a-1,是我国目前能源活动碳总排放量的13.3%.通过情景分析发现,提高化肥施用量、秸秆还田量、有机肥施用量和推广免耕,可以使我国农田土壤的固碳量分别提高到94.91、42.23、41.38 Tg·a-1和3.58 Tg·a-1,合计为182.1Tg·a-1.农田土壤总的固碳潜力相当于目前我国能源活动碳排放量的23.9%,对于全球CO2减排具有重要的作用.     

陕西省退耕还林固碳释氧价值分析

利用基于EOS/MODIS的遥感生物地球化学模式(BIOME-BGC)NPP产品(MOD17A3),分析了2000—2010年陕西省退耕还林生态建设工程区植被固碳量时空变化,在此基础上根据林业行业标准《森林生态系统服务功能评估规范》(LY/T1721—2008),估算了退耕还林植被固碳释氧服务价值。结果表明:(1)2000—2010年陕西省退耕还林区平均植被固碳密度为299g·m-2·a-1。与2000年相比,2010年陕省退耕还林区固碳量增加了5.37×106t·a-1,合固碳价值14.01亿元·a-1,占全省固碳价值增量的50.4%,而退耕还林区面积仅占全省总面积38.5%。退耕还林区释氧量增加了1.43×107t·a-1,合释氧价值50.53亿元·a-1。(2)研究期间,陕西省退耕还林区固碳密度在波动中逐年缓慢增加,退耕还林区植被固碳密度变化增加趋势比其周边区域显著,固碳密度增加量比其周边高。陕北退耕还林区固碳密度增加的面积占其总面积的99.8%,固碳密度减少的面积仅占0.2%。退耕还林区低固碳密度所占的面积比例逐年减少,中、高固碳密度所占的面积比例逐年增加。(3)退耕还林区主要土地利用类型固碳密度均呈较明显的增长;不同坡度耕地固碳密度均具有不同程度的上升,退耕还林区>25°坡耕地固碳密度极显著(P<0.01)增加。说明随着退耕还林工程的实施,植被覆盖逐步得到改善,同时获得了显著的植被固碳释氧效益。     

基于森林清查资料的江西和浙江森林植被固碳潜力

以我国江西、浙江两省的森林植被为研究对象,基于1999-2003年间第六次全国森林清查数据及收集的1030个亚热带森林样地文献资料,依据林分生长的经验方程,估算了两个地区森林2004-2013年的固碳潜力,并基于455个样点的调查数据研究了不同森林管理措施(纯林间种、间伐、施肥)对森林未来固碳潜力的影响.结果表明:第六次森林清查以来的10年(2004-2013)间,江西森林植被年均自然固碳潜力约11.37 Tg C·a-1(1Tg=1012g),而浙江省森林植被年均自然固碳潜力约4.34 Tg C·a-1.纯林间种对江西、浙江两省森林植被固碳潜力影响最大,其次为间伐抚育,施肥的影响最小,纯林间种、间伐和施肥3种森林管理措施使江西省森林植被固碳潜力分别提高(6.54±3.9)、(3.81±2.02)和(2.35±0.6) Tg C·a-1,浙江省森林植被固碳潜力分别提高(2.64±1.28)、(1.42±0.69)和(1.15±0.29) Tg C·a-1.     

不同蔬菜种植方式对土壤固碳速率的影响

近年来蔬菜地面积快速增加已成为我国农田土壤碳库变化的重要驱动因素,研究蔬菜种植方式对农田土壤固碳影响,对于揭示我国农田土壤碳库变化具有重要意义。通过实地调查与采样分析,研究了山东省苍山县3种蔬菜种植方式(大田种植、季节性大棚和长年性大棚种植)对农田土壤固碳速率影响及其随种植时间的变化规律。结果表明,3种种植方式下蔬菜地土壤有机碳含量均随种植时间的增加而增加;长年性大棚、季节性大棚和大田种植方式下0—100 cm土层土壤平均固碳速率分别达到1.44、2.73、1.60 Mg.hm-2.a-1;表层土壤(0—20 cm)平均固碳速率依次为0.64 Mg.hm-2.a-1、0.36 Mg.hm-2.a-1、0.20Mg.hm-2.a-1,3种蔬菜种植方式的土壤固碳速率存在显著差异。同样为蔬菜地,选择合理种植方式是提高农田土壤固碳速率的重要途径。     

崇明岛滨海湿地植物群落固碳能力

通过对植物群落实地调查和室内相关指标测定,对崇明岛滨海湿地植物群落固碳的时间动态与分布格局进行了研究。结果表明:崇明岛滨海湿地植物群落大致分为芦苇(Phragmites australis)、海三棱藨草(Scirpus mariqueter)和互花米草(Spartina alterniflora)3种类型;芦苇生长高峰为3—5月,年固碳能力为(1.02±0.12)kg·m-2·a-1,未围垦滨岸均有分布,其中北岸植株生物量最低,出叶后生物量动态变化可用叶氮含量高低表征;海三棱藨草3—5月快速生长,6月初生长稍停滞,后继续增长,年固碳能力为(0.33±0.05)kg·m-2·a-1,集中于南岸;互花米草7—9月为生长高峰,年固碳能力为(1.32±0.10)kg·m-2·a-1,分布于北湖以东至东滩,其种群扩张严重威胁当地生物多样性;崇明岛滨海湿地植物群落年固定CO2量为2.5×105t·a-1,其中南岸湿地年固碳较为丰富,年固碳的快速积累发生在4—7月。可见,崇明岛滨海湿地植物群落具较强固碳功能,且存在明显的时空动态,对上海市碳增汇减排具有重要作用。     

浙北地区常见绿化树种光合固碳特征

高固碳能力的树种选择是营造优质碳汇林,发展碳汇林业的重要基础工作.以浙北地区常见的30种造林绿化树种为研究材料,利用LI-6400便携式光合测定仪,测定树木光合日变化及不同光强梯度下光合作用的光响应特性,并根据实验观测值进行计算,对30个树种的日净固碳量和光合生理拟合参数进行Ward法聚类分析和因子分析.结果表明:香樟的固碳量最大((11.374±1.020) g·m-2·d-1),其次为碧桃、垂柳、石栎、无患子,固碳量最小的为红叶李((2.178±0.605) g·m-2·d-1),香樟和红叶李的日净固碳量有极显著差异(P＜0.01);树木的生理特性指标分析进一步反映了树种在浙北地区生长适应性及固碳能力大小,同时,根据树木的生理特性指标进行因子分析和聚类分析的结果,香樟、碧桃在浙北地区生长适应性较好,其次为无患子、垂柳、女贞等;根据树种固碳量及生理指标综合测定分析,建议在浙北地区造林绿化中可以优先选用香樟、碧桃、垂柳、无患子、石栎、女贞这些树种.     

Monthly Variation of Pigment Concentrations and Seasonal Winds in China's Marginal Seas

China's marginal seas extend from temperate, subtropical to tropical zones, which encounter different monsoons. This study investigates the monthly variation of phytoplankton pigment concentrations (PC) from 1978 to 1986, and analyzes seasonal winds with sea surface temperatures (SST) among the Bohai Sea, the Yellow Sea, the East China Sea and the northern South China Sea. Nimbus satellite Coastal Zone Color Scanner (CZCS)-derived PC images were averaged into monthly fields for the entire area; we then emphasize the period of one year from November 1979 to October 1980, when CZCS data availability was relatively good. Monthly variability of PC has been compared among three regions (the outlets of the Yellow River, the Yangtze River and the Pearl River). The results revealed well-defined seasonality of PC, wind and SST from north to south in China's marginal seas. In the northern area (Bohai Sea and Yellow Sea), variability in SST (0–28?°C) and PC (0.5–3.5 mg m^?3) was high with two peaks of PC appeared in spring–summer and in fall–winter in each year. In the East China Sea, two peaks of PC (1.2 mg m^?3 in March and 1.3 mg m^?3 in November) were in evidence, where SST variations were ranged 7–28?°C in one year. However, in the southern area (northern South China Sea), variation in SST (15–29?°C) and PC (0.1–0.4 mg m^?3) was relatively low; the monthly variation of PC was not so high compared with north area. OCTS derived ocean color data obtained from April 1997 conformed the spatial pattern of Chl-a and colored dissolved organic matter (CDOM), and showed high CDOM and total suspended material (TSS) in the coast waters in the north part of China's marginal seas. Seasonal variation of PC may be related to the reversed monsoon; and spatial variation of PC may be influenced by river discharge, upwelling and coastal currents. High PC areas match good fishing grounds in terms of season and location in the study waters.     

广州市红树林和滩涂湿地生态系统与大气二氧化碳交换

在生物量调查和土壤温室气体排放量测定基础上,对广州市红树林和滩涂湿地生态系统与大气CO₂交换进行研究,分析湿地植被净生产力吸收CO₂的能力和不同积水状态下(常年积水、间歇积水、无积水)湿地碳汇功能.结果表明:红树林湿地植被净生产力吸收CO₂ 33.74 t·hm^-2·a^-1,土壤排放CO₂(包括CH₄折算成CO₂的温室效应量)12.26 t·hm^-2·a^-1,湿地每年净吸收大气CO₂ 21.48 t·hm^-2,说明红树林湿地是一个强的碳汇;滩涂湿地植被净生产力吸收CO₂ 8.54 t·hm^-2·a^-1,土壤排放CO₂ 5.88 t·hm^-2·a^-1,排放CH₄ 0.19 t·hm^-2·a^-1,若按碳素折算,湿地每年吸收大气中碳素2.33 t·hm^-2,土壤排放碳素1.74 t·hm^-2包括（CH₄中的碳),系统净固定碳0.59 t·hm^-2,说明滩涂湿地是一个弱的碳汇,若将CH₄的温室效应折算成CO₂量,则土壤排放CO₂ 9.78 t·hm^-2·a^-1,排放比吸收多1.24 t·hm^-2·a^-1,对大气温室效应而言,滩涂湿地是一个弱碳源;常年积水下排放的温室气体主要是CH₄,无积水下排放的温室气体主要是CO₂;常年积水湿地碳汇功能最大,无积水湿地碳汇功能最小.     

四川西北部亚高山云杉天然林生态系统碳密度、净生产量和碳贮量的初步研究

该文利用野外实际调查数据对四川西北部亚高山云杉(Picea asperata)天然林碳密度、净生产量、碳贮量及其分布进行了分析,结果表明,在调查区域,云杉天然林分平均生物量为230.37×10³ kg·hm^-2,其中乔木层为212.77×10³ kg·hm^-2,占林分生物量的92.30%。云杉天然林生态系统各组分的平均碳密度为树干57.85%,树皮47.12%,树枝51.22%,树叶48.27%和树根52.39%,灌木层平均碳密度49.91%,草本层平均碳密度46.34%,地被层平均碳密度43.21%,枯落物层平均碳密度39.44%,土壤碳密度平均值为1.41%,随土层深度增加各层次土壤碳密度逐渐减少。云杉林平均生态系统总碳贮量为273.79×10³ kg·hm^-2,其中乔木层109.30×10³ kg·hm^-2,占云杉林生态系统总碳贮量的39.92%,灌木层5.69×10³ kg·hm^-2,占2.08%,草本层1.26×10³ kg·hm^-2,占0.46%,地被物层0.60×10³ kg·hm^-2,占0.22%,枯落物层0.83×10³ kg·hm^-2,占0.30%,林内土壤(0~100 cm)碳贮量为156.11×10³ kg·hm^-2,占57.01%。云杉林的碳库分布序列为土壤(0~100 cm)>乔木层>灌木层>草本层>枯落物层>地被物层。云杉天然林分平均净生产总量为6 838.5 kg·hm^-2·a^-1,碳素年总净固量平均为3 584.98 kg·hm^-2·a^-1,其中乔木层净生产量为4 676 kg·hm^-2·a^-1,占林分总量的68.38%,碳素年平均固定量2 552.99 kg·hm^-2·a^-1,占林分总量的71.21%。     

Genetic Variation Analysis of Mugil cephalus in China Sea Based on Mitochondrial COI Gene Sequences

In this study, genetic diversity and population genetic structure of flathead grey mullet, Mugil cephalus, among four China Sea populations were investigated by COI sequences. All the populations studied had high values of haplotype and nucleotide diversity, except for the Yellow Sea population. In the phylogenetic tree, these haplotypes clustered in two groups, one for the populations from the Bohai and East China seas, and the other from the Yellow and South China seas. Analysis of molecular variance indicated that the northern populations (Bohai and East China) had lower genetic divergence (0.0725, P > 0.05) than that of the southern population (South China) (0.4530-0.6827, P < 0.001), suggesting that two distinct genetic groups exist in Chinese waters. Tests of neutral evolution and mismatch distribution indicated that no historical demographic expansion occurred in these populations. The results provide new information for genetic assessment, fishery management, and conservation of this species.     

In situ nutrient enrichment experiment in the Bohai and Yellow Sea

Nutrient concentrations and N : P ratios have changed significantlyin the past 40 years in the Bohai and Yellow Sea. How do thesechanges influence or contribute to the growth of phytoplankton?Nutrient enrichment experiments were conducted in 1998 and 1999to shed light on which was the first nutrient to limit algalgrowth and uptake rates of nitrogen and phosphorus. Significantvariance analysis, together with nutrient concentration andratio, demonstrated that phosphorus was the first nutrient tolimit the growth of phytoplankton in the Laizhou Bay (SouthBohai); nitrogen was the first, whilst phosphate might be thepotential, nutrient to limit the growth of phytoplankton inthe West Yellow Sea; the Central Yellow Sea was oligotrophicand any one of nitrogen, phosphorus and silicon would limitthe growth of phytoplankton; and silicon was confirmed not tolimit the growth of phytoplankton, although the silicate concentrationdecreased acutely, in the Laizhou Bay. Moreover, the ratio ofnitrogen to phosphorus in phytoplankton uptake was smaller thanthat in seawater, which suggested that phosphorus was preferentiallyused before nitrogen by the phytoplankton. The preference ofphosphorus over nitrogen indicates a further limitation of phosphorusin the Laizhou Bay, and increases the high possibility thatphosphorus, rather than nitrogen, is the first nutrient to limitthe growth of phytoplankton in the West Yellow Sea. Half-saturationconstants (K_s) of dissolved inorganic nitrogen (DIN) and phosphatein the Bohai and Yellow Sea were 1.80 µM and 0.13 µM,respectively. Compared with other sea areas, the K_s value ofDIN in the Bohai and Yellow Sea was located at the high endof the spectrum.     

牛黑素皮质素受体1(MC1R)基因与毛色表形的研究

牛MC1R基因不仅与毛色有关, 而且与牛乳中乳蛋白的含量有关。利用PCR-RFLP和DNA测序技术分析了中国荷斯坦黑白花牛, 中国荷斯坦红白花牛, 鲁西黄牛和渤海黑牛共4个品种的MC1R基因。共检测出3种等位基因(E^D, E⁺, e)。中国荷斯坦黑白花牛主要是E^D和E⁺等位基因(E^D=0.12、E⁴=0.80); 渤海黑牛也主要是E^D和E⁺等位基因(E^D=0.52、E⁺=0.47); 中国荷斯坦红白花牛和鲁西黄牛大多为e等位基因(e=0.95)。中国荷斯坦红白花牛和鲁西黄牛还存在E⁺/e基因型。由此推测E^D和E⁺等位基因导致黑色素合成。另外发现牛MC1R基因编码区725处存在一重要的SNP(单核苷酸多态性)。     

Photosynthetic capacity in microalgae associated with Antarctic pack ice

Summary Previous studies of primary production in Antarctic seas have concluded that microalgae associated with sea ice make only a minor contribution to the carbon budget; however, production estimates for sea ice algae have been based almost exclusively on microalgae from nearshore fast ice. We measured biomass and rates of photosynthesis (at saturating irradiances) in microalgae collected from offshore pack ice during four cruises to the Weddell-Scotia Sea and the region west of the Antarctic Peninsula. Chlorophyll a concentrations in pack ice (0.089 to 260 g 1^-1) were as high as reported from fast ice. Photosynthetic rates typically ranged (median 75%) from 0.3 to 3.6 C g chl a ^-1 h^-1 (n=127; arithmetic mean = 1.7, S D =1.9). These photosynthetic capacities are approximately an order of magnitude greater than previously reported for fast ice microalgae, but are similar to rates reported for Antarctic phytoplankton. Because pack ice constitutes more than 90% of the ice cover in Antarctic seas and indigenous microalgae have a higher photosynthetic capacity than previously realized, we raise the question: has the importance of sea ice algae to primary product: on in the southern ocean been underestimated?     

Phytoplankton biomass and production in northern South China Sea during summer: Influenced by Pearl River discharge and coastal upwelling

Chlorophyll a and primary production were studied in northern South China Sea during summer from 2007 to 2008. Microplankton dominated total phytoplankton biomass in the coast, while picoplankton dominated in the offshore. Algae bloom caused by Thalassionema nitzschioides was found at the subsurface of upwelling regions (D2, C2) in 2008, and maximum of phytoplankton abundance reached 1.58 × 10⁶ ind L^?1. Integrated primary production ranged from 189.3 to 976.2 mg m^?2 d^?1 in 2007, and ranged from 652.1 to 6601 mg m^?2 d^?1 in 2008. PP showed positive relationship with IPP (p < 0.01) and negative relationship with SST (p < 0.05). Coastal upwelling and Pearl River discharge sustained high PP, and played important role in regulating the phytoplankton biomass and production.     

海洋浮游植物与生物碳汇

系统描述了浮游植物与海洋碳汇相关的几个过程:初级生产、浮游植物沉降、浮游动物粪球打包沉降、经典食物链碳汇、溶解有机碳生产和转化、透明胞外聚合颗粒物(TEP)凝聚网,和CO₂分压升高(海水酸化)影响下浮游植物功能群转变及中国海可能的生物碳汇前景展望。提出海洋初级生产过程和TEP凝聚网过程是中国海生物碳汇的关键过程,而中国海的黄海中部及长江口区域是生物碳汇研究的重点区域,建议将硅藻及其碳汇过程作为今后研究的重点。     

Phytoplankton biomass and production in northern South China Sea during summer: Influenced by Pearl River discharge and coastal upwelling

Chlorophyll a and primary production were studied in northern South China Sea during summer from 2007 to 2008. Microplankton dominated total phytoplankton biomass in the coast, while picoplankton dominated in the offshore. Algae bloom caused by Thalassionema nitzschioides was found at the subsurface of upwelling regions (D2, C2) in 2008, and maximum of phytoplankton abundance reached 1.58 × 10⁶ ind L^?1. Integrated primary production ranged from 189.3 to 976.2 mg m^?2 d^?1 in 2007, and ranged from 652.1 to 6601 mg m^?2 d^?1 in 2008. PP showed positive relationship with IPP (p < 0.01) and negative relationship with SST (p < 0.05). Coastal upwelling and Pearl River discharge sustained high PP, and played important role in regulating the phytoplankton biomass and production.