地-气间碳通量气候响应的模拟研究II.未来气候变化

利用 GCM模式模拟的未来气候状况 ,结合一个简单计算碳通量的模型 ,对未来地 -气间碳交换通量与温度和降水的关系做初步模拟分析。结果显示 ,在未来气候变暖情况下 ,要保持陆地生态系统不成为大气碳源 ,降水量需要有很大的增加幅度 (至少要比 GCM模式模拟的结果要高 )。在不考虑二氧化碳及氮素的“施肥效应”前提下 ,得出要使陆地生态系统的碳通量为零 ,全球平均温度每增加 1℃ ,降水量需要增加 7% (约 5 4 mm)。     

北方农牧交错带温性盐碱化草地土壤碳组分对模拟增温的响应机制

中国北方农牧交错带温性盐碱化草地土壤有机碳库对全球气候变暖的响应趋势存在较大不确定性。作为温性盐碱性草地的典型分布区,山西右玉农牧交错带是探索相关研究的理想生境。基于山西农业大学野外观测研究站开顶式气室模拟增温实验平台,通过采集生长旺季土壤样品,探索温性盐碱化草地不同土层有机碳、氮组分对模拟增温的响应与适应机制。结果表明：(1)不同增温处理对土壤有机碳(C)、总氮(N)、颗粒性有机碳(POM-C)和氮(POM-N)、矿物结合态有机碳(MAOM-C)和氮(MAOM-N)、可溶性有机碳(DOC)和氮(DON),以及微生物量碳(MBC)和氮(MBN)等组分无显著影响,但显著降低了MAOM-C/MBC的比值;(2)除土壤可溶性有机碳和微生物量碳外,土壤碳、氮各组分均随土层深度加深而呈现递减趋势,土壤碳、氮各组分之间的比值,除MAOM-N/N和MBC/C外,均随土层深度的增加而呈现显著上升趋势;(3)增温对POM-N/MBN和MAOM-N/MBN的影响与土层深度存在明显的交互效应;(4)不同土层氮组分比值对增温的响应与禾草丰度、杂类草丰度、凋落物量、土壤pH值及土壤含水量等因素有关。其中,凋落物...     

The surface ocean productivity response of deeper water benthic foraminifera in the Atlantic Ocean

We test the relationship of deep sea benthic foraminiferal assemblage composition to the surface ocean productivity gradient in the low latitude Atlantic Ocean using 81 surface sediment samples from a water depth range between 2800 and 3500 m. The samples are selected so that the surface ocean productivity gradient, controlling the flux of organic carbon to the seabed, will be the most important environmental variable. The first two principal components of the assemblage data account for 73% of data variance and are clearly linked to the productivity gradient across the Atlantic. These components show that under higher productivity the assemblages contain a higher abundance of Uvigerina peregrina, Melonis barleeanum, Globobulimina spp. and other taxa with probable infaunal microhabitats. Alabaminella weddellensis, a species linked to episodic phytoplankton debris falls, is also important in these assemblages. As productivity decreases there is a regular shift in assemblage composition so that low productivity assemblages are dominated by Globocassidulina subglobosa and several Cassidulina species along with Epistominella exigua. We hypothesize that these taxa are epifaunal to very shallow infaunal since nearly all organic carbon oxidation occurs near the sediment-water interface in low productivity settings. Discriminant function analysis of the foraminiferal assemblages, with groups selected on the basis of surface ocean productivity, shows clear separation among five productivity levels we used. This analysis demonstrates that productivity variations have a strong influence on assemblage composition. Finally, we used two groups of samples from the Rio-Grande Rise representing water depths from 2007 to 2340 m and 2739 to 3454 m to test for effects produced by changing water depth. All these samples are from a low productivity region and represent nearly identical environmental conditions. Although the low productivity nature of all the Rio-Grande Rise samples is obvious, there are assemblage differences between our depth groups. We cannot account for the assemblage differences with changes in organic carbon flux, dissolution effects or other physical/chemical properties of the ocean. Thus there are as yet unidentified factors related to water depth which cause some assemblage variation in the low productivity setting we investigated.     

Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes

We have investigated global teleconnections of climate to regional satellite‐driven observations for prediction of Amazon ecosystem production, in the form of monthly estimates of net carbon exchange over the period 1982–1998 from the NASA–CASA (Carnegie–Ames–Stanford) biosphere model. This model is driven by observed surface climate and monthly estimates of vegetation leaf area index (LAI) and fraction of absorbed PAR (fraction of photosynthetically active radiation, FPAR) generated from the NOAA satellite advanced very high‐resolution radiometer (AVHRR) and similar sensors. Land surface AVHRR data processing using modified moderate‐resolution imaging spectroradiometer radiative transfer algorithms includes improved calibration for intra‐ and intersensor variations, partial atmospheric correction for gaseous absorption and scattering, and correction for stratospheric aerosol effects associated with volcanic eruptions. Results from our analysis suggest that anomalies of net primary production and net ecosystem production predicted from the NASA–CASA model over large areas of the Amazon region east of 60°W longitude are strongly correlated with the Southern Oscillation index. Extensive areas of the south‐central Amazon show strong linkages of the FPAR and the NASA–CASA anomaly record to the Arctic Oscillation index, which help confirm a strong relation to southern Atlantic climate anomalies, with associated impacts on Amazon rainfall patterns. Processes are investigated for these teleconnections of global climate to Amazon ecosystem carbon fluxes and regional land surface climate.     

中国大陆土壤有机碳组分的空间分布及其对气候变化的响应

保护和增加土壤有机碳库是减缓气候变化的有效途径,但目前我国不同生态系统的土壤有机碳对气候变化的敏感性尚不明确。颗粒态(POC)和矿物结合态(MAOC)土壤有机碳组分的划分对研究土壤有机碳对气候变化的响应具有重要意义。本研究以POC和MAOC为研究对象,利用机器学习方法分析了我国大陆土壤有机碳组分的空间分布,并模拟了其对未来气候变化的响应。结果表明:1)我国0～20 cm土层土壤总有机碳储量为45.3 Pg,POC、MAOC的总碳储量分别为20.7和24.6 Pg;2)土壤有机碳组分与海拔呈显著正相关,与气温呈显著负相关;3)SSP585情境下,我国大陆POC、MAOC储量均呈减小趋势,2020—2100年分别减少4.80和2.13 Pg。我国大陆土壤有机碳组分含量在东北和青藏高原地区较高,在内蒙古高原、四川盆地和华北及西北平原地区较低,POC对气候变化的敏感性高于MAOC,气候变暖对草甸生态系统土壤有机碳造成的损失量最大。     

Organic carbon dynamics in two regulated rivers in northwestern Montana,USA

We studied the transport of particulate organic carbon (POC) and dissolved organic carbon (DOC) in two regulated rivers during minimum and increasing discharges. Mean annual concentrations of total POC, measured monthly during conditions of minimum discharge from the dams, were twice as high at a station below a dam with a selective withdrawal system on the Kootenai River (KR, 0.15 mg 1^–1), as at station below a dam with hypolimnetic water releases on the Flathead River (FR, 0.07 mg 1^–1). Annual mean concentrations of DOC were similar below both dams (1.62 mg 1^–1 FR; 1.71 KR). The percentage of POC in four size fractions differed in regulated and unregulated reaches of each river system; the smallest size fraction (0.45–10 smm) constituted a larger percentage of the total POC at the stations below the dams (50–93%), because POC in large size classes had settled out in the reservoir. The three largest size fractions (10–1000 µm) comprised a larger percentage of the total POC when samples were taken during conditions of full discharge from the dam. We measured large increases in all size classes of POC in samples collected during increasing discharges in a regulated reach, reflecting the component of sloughed periphyton and resuspended organic matter that were added during periods of hydropower generation at the dam. Seston (355 µm to 1 cm) collected in nets increased dramatically during increasing flows; concentrations of particulate organic matter (POM) in samples collected two and three hours after water levels began to rise were 572 and 1440 times higher than those collected during minimum discharge at the dam.     

秸秆还田对土壤有机碳不同活性组分储量及分配的影响

通过田间试验,研究了不同秸秆还田模式下土壤溶解性有机碳(DOC)、颗粒有机碳(POC)和矿物结合有机碳(MOC)储量及其在总有机碳(TOC)中的分配比例.结果表明: 相对于翻压还田(WR),小麦秸秆覆盖还田(WM)0～20 cm耕层TOC和MOC储量显著降低,降幅为4.1%和9.7%,DOC和POC储量显著提高,增幅为207.7%和11.9%;20～40 cm犁底层TOC和POC储量显著提高.玉米秸秆覆盖还田(MM)与MR相比,犁底层TOC和MOC储量显著提高,增幅为13.6%和14.6%.小麦-玉米秸秆均覆盖还田(WM-MM)相对于均翻压还田(WR-MR),耕层TOC和MOC储量显著降低,降幅为8.5%和10.3%.玉米秸秆还田耕层TOC和POC储量显著高于小麦秸秆还田.与对照(秸秆不还田)相比,6种还田模式耕层TOC储量增幅为5.2%～18.0%,差异达显著水平;除WM和MM模式外,犁底层TOC储量显著降低(降幅8.0%～11.5%).6种还田模式下土壤耕层DOC储量及DOC/TOC比值显著降低,在WM和WM-MM还田模式下耕层POC储量显著提高、POC/TOC比值增大,WR模式的耕层MOC储量显著提高、MOC/TOC比值增大,其余3种模式耕层POC和MOC储量均显著提高.秸秆覆盖还田有利于土壤有机碳活性组分积累,翻压还田有利于较稳定性有机碳组分积累.在提高关中地区农田TOC储量方面,玉米秸秆还田好于小麦秸秆还田、小麦-玉米秸秆翻压还田好于覆盖还田.     

Temporal variability of particulate organic carbon,nitrogen and phosphorus in the Northern Adriatic Sea

The particulate organic carbon (POC), nitrogen (PN) and phosphorus (PP) vertical distribution along the water column and temporal variability in coastal and offshore waters of the Northern Adriatic Sea were related to the hydrodynamic conditions and biological processes. Fresh water inputs from the Po and Adige rivers enhance primary production, resulting in high POC, PN and PP concentrations at the surface. In offshore waters, POC and PN concentrations were about 3–4 times less than in the coastal waters, while PP were up to 10 times lower, highlighting a marked phosphorus depletion. In the bottom layer, the POC content decreases due to the strong density gradients which separate bottom waters with prevailing degradation processes. Short term 48 h-variability of POC, PN and PP in the coastal waters was determined to a great extent by variations in the spreading of river plumes at the surface and by nepheloid layers and resuspension processes in the bottom waters. The particulate matter in the Adriatic offshore waters is extremely depleted as regards particulate phosphorus and is characterised by C_org:P and N:P ratios higher than the Redfield ratio.     

降水变率对森林土壤有机碳组分与分布格局的影响

2006年12月-2008年6月,通过加倍降水、自然降水和去除降水3种处理的人工控制试验,研究了降水变率改变对南亚热带不同演替阶段的季风常绿阔叶林、针阔叶混交林和马尾松针叶林土壤有机碳组分与空间分布格局的影响.结果表明：在3种降水强度条件下,相同森林类型的同一层次土壤总有机碳（TOC）含量差异不显著（P>0.05）;去除降水处理下土壤表层（0～10 cm）颗粒有机碳（POC）和轻组有机碳(LFOC)含量有明显的积累趋势,加倍降水和自然降水处理下增加了POC、LFOC向下层土壤（10～20 cm、20～30 cm、30～50 cm）的运输;去除降水处理下,马尾松林土壤易氧化有机碳（ROC）含量显著高于降水处理（P<0.05）;演替早期森林土壤的POC、ROC、LFOC占总有机碳的比例大于演替后期土壤,不利于土壤有机碳的存埋.森林土壤总有机碳含量变化缓慢,而其活性有机碳组分（POC、LFOC、ROC）对降水变率改变的响应更敏感.     

Comparison of different glass fibre and silver metal filters for the determination of particulate organic carbon

The most retentive glass fibre filters were able to retain almost all bacteria from the water of an oligotrophic lake. Having satisfactory speed and capacity, of filtration this type of filter is quite near to the ideal which should be able to include all algae and bacteria in the category of particulate organic carbon. Similar retention could also be achieved by silver filters but, because of their high blank values, price, and lower filtration speed and capacity, they are not able to compete with glass fibre filters in practical work.     

土壤非保护性有机碳对荒漠草原沙漠化的响应

沙化草地的恢复与重建是干旱半干旱区生态建设的重要内容,分析荒漠草原沙漠化过程中土壤非保护性有机碳分配比例的变异规律对于探讨沙化草地恢复机制具有重要的理论价值。以干旱、半干旱地区荒漠草原不同沙化阶段的土壤为研究对象,分析土壤粗颗粒有机碳、细颗粒有机碳、轻组有机碳含量和分配比例的分布特征、土壤非保护性有机碳转化为保护性有机碳的速率。结果表明:荒漠草原发生逆向演替后,土壤细颗粒有碳含量和分配比例表现为固定沙地荒漠草地半固定沙地流动沙地;粗颗粒有机碳含量表现为荒漠草地半固定沙地流动沙地固定沙地,粗颗粒有机碳分配比例表现为流动沙地半固定沙地荒漠草地固定沙地;轻组有机碳含量和分配比例递减。颗粒有机碳、轻组有机碳、土壤有机碳对草地沙漠化的敏感性不同,颗粒有机碳较轻组有机碳和土壤有机碳敏感性强,其中细颗粒有机碳较粗颗粒有机碳敏感性强。随着草地沙漠化程度的增强土壤非保护性有机碳分配比例呈下降趋势,表明草地沙漠化降低土壤质量。荒漠草地退化至流动沙地土壤非保护性有机碳转化为保护性有机碳的速率整体呈上升趋势。     

垦殖对新疆绿洲农田土壤有机碳组分及团聚体稳定性的影响

土壤有机碳是土壤质量变化的重要指标,土壤活性有机碳组分在土壤质量变化方面发挥重要作用。采用有机碳分组技术,研究了干旱荒漠区自然土壤开垦对绿洲农田土壤有机碳活性组分及团聚体稳定性的影响。结果表明:低有机碳含量的自然土壤垦殖后,有利于干旱荒漠区绿洲棉田土壤有机碳的积累,且垦殖(0-5a)增加显著,年均增加在0.65gkg-1以上,上升幅度为76%-286%,5a后维持在相对平衡的水平;土壤活性有机碳、轻组有机碳在垦殖0-5a显著增加,平均增加72%和99%,5a后下降;颗粒有机碳则表现出垦殖0-10a明显增加,增加在275%以上,10a后下降;土壤水稳性团聚体含量随垦殖年限的延长显著增加,0-20a内较自然土壤提高了75%。垦殖可能是干旱区绿洲农田潜在碳汇的重要影响因素;但随垦殖年限延长,土壤有机碳活性组分下降,土壤质量又存在一定的退化风险。     

亚热带杉木林土壤有机碳及其活性组分对氮磷添加的响应

通过野外氮、磷添加,分析N₀(0 kg N·hm^-2·a^-1)、N₁(50 kg N·hm^-2·a^-1)、N₂(100 kg N·hm^-2·a^-1)、P(50 kg P·hm^-2·a^-1)、N₁P和N₂P等6种处理3年后对亚热带杉木人工林土壤有机碳(SOC)、颗粒有机碳(POC)和水溶性有机碳(WSOC)的影响.结果表明:氮、磷添加对0～20 cm土层SOC含量无显著影响.磷添加显著降低0～5 cm土层POC含量,与无磷处理相比,加磷处理POC含量降低26.1%.WSOC含量对氮、磷添加的响应主要表现在0～5 cm土层,低水平氮添加和磷添加显著提高WSOC含量.在0～5 cm土层,氮添加对POC/SOC值无显著影响,而与无磷添加相比,POC/SOC值在磷添加处理下显著降低15.9%.在5～10和10～20 cm土层,氮、磷添加处理对POC/SOC值无显著影响.在亚热带地区,森林土壤碳稳定性主要受磷含量的调控,短期磷添加易导致表层土壤活性有机碳分解,增加土壤碳稳定性.     

不同退耕年限对菜子湖湿地表土有机碳组分与质量的影响

退耕还湿后土壤有机碳不同组分变化和有机碳质量的评价是退耕湿地生态恢复研究的重要内容。对安徽菜子湖湿地不同退耕年限(2、5、8、10和20a)的湿地土壤总有机碳(TOC)、颗粒态有机碳(POC)和矿物结合态有机碳(MOC)的含量与有机碳质量进行了研究。结果表明,随着退耕年限增加,土壤TOC、POC、MOC含量均有显著增加,且退耕后土壤有机碳增加过程中,以POC为代表的活性有机碳优先恢复,而以MOC为代表的稳定有机碳恢复相对滞后。随着退耕年限增加,POC/MOC、TOC和POC的层化比(SR)增加,反映有机碳的活性明显提高。退耕期间所增加的有机碳在组成上以易降解的POC为主,在分布上以易降解的表层有机碳居多,因此有机碳库的稳定性并未明显提高。通过计算碳库管理指数(CPMI),发现土壤质量随着退耕年数增加而提高,根据CPMI变化趋势线,土壤质量大约需要13a才能恢复到对照水平;退耕湿地生态恢复过程中,有机碳数量(碳库指数CPI)恢复较快,而有机碳质量(碳库活度指数AI)恢复需要较长的时间,二者分别需7.6和22.7a恢复到对照水平。     

山西吕梁山南段森林乔木层碳密度

森林在区域和全球碳循环中起着关键作用,不同森林类型生物量和碳密度的精确估算是区域森林碳储量研究的重要基础。以2005和2010年吕梁山南段2期森林资源清查资料为基础,采用加权生物量回归模型法和转换因子连续函数法对森林乔木层的生物量进行估算,发现前者估算结果显著高于后者(P0.01),加权生物量回归模型法更适宜于中小尺度生物量估算。依据回归模型法获得的28×112(物种×样方)碳密度矩阵,对森林群落进行TWINSPAN分类和DCA、CCA排序;采用单因素方差分析和相关分析对不同生境条件下乔木层的碳密度进行研究。结果表明:吕梁山南段森林群落可分为8个群系,不同群系间碳密度差异显著(P0.01),其中辽东栎+色木槭群系和辽东栎+油松群系显著高于其他群系,白皮松+侧柏群系最低。2010年乔木层碳密度显著高于2005年,平均每年以1.54 t·hm-2的速度增加。乔木层碳密度与海拔或坡度呈显著相关,随海拔或坡度的增加碳密度呈先增后降的趋势。阴坡和半阴坡(北坡和东坡)碳密度大于阳坡和半阳坡(南坡与东南坡),山脊碳密度最小。因地制宜进行物种选择和抚育管理,可显著提高森林碳密度。