土壤碳氮与土壤酶相关性研究进展

土壤酶在生态系统中起着重要的作用,是土壤有机体的代谢动力,参与包括土壤生物化学过程在内的自然界物质循环。土壤碳氮作为土壤生物化学研究的重要内容,与土壤酶具有密切的关系。综述土壤碳氮与土壤酶的相关性,对研究其全球的变化很有必要。     

土壤碳氮与土壤酶相关性研究进展

土壤酶在生态系统中起着重要的作用，是土壤有机体的代谢动力，参与包括土壤生物化学过程在内的自然界物质循环。土壤碳氮作为土壤生物化学研究的重要内容。与土壤酶具有密切的关系。综述土壤碳氮与土壤酶的相关性，对研究其全球的变化很有必要。     

冻融交替对河岸缓冲带土壤无机氮和土壤微生物量氮的影响

全球气候变化引起的中高纬度地区积雪覆盖和降雪格局变化,造成该区域土壤冻融交替强度和频次变化,是土壤氮循环的重要影响因素。冻融温差和冻融循环次数影响微生物数量和群落的变化,进而影响土壤氮素生物地球化学循环。以大伙房水库实验林场小流域的河岸缓冲带生态系统为研究对象,通过分析冻融交替对河岸缓冲带土壤无机氮和土壤微生物量氮的影响,阐明冻融交替对土壤无机氮含量变化的影响机制,为评估小流域氮素流失风险提供依据。结果表明：随着冻融循环次数的增加,土壤无机氮含量呈增加趋势;不同温差的冻融循环处理对土壤无机氮影响不同,冻融条件为-5/+5℃和-20/+5℃时土壤无机氮含量在冻融循环10次之后分别为34.9±0.9 mg/kg和37.2±0.8 mg/kg,是处理前的1.21和1.41倍;冻融温差和冻融循环次数对土壤NH₄⁺–N含量有极显著影响(P<0.01),土壤冻融10次后土壤NH₄⁺–N含量是对照处理的4-10倍;冻融循环次数对土壤NO₃^－–N含量有显著影响(P<0.05),冻融温差对NO₃^－–N含量无显著影响(P>0.05);土壤微生物量氮含量对冻融循环的响应显著(P<0.01)。可见,冻融交替显著增加了土壤无机氮含量,由于早春季节植被对无机氮吸收较少,可能增大土壤氮素随冰雪融化的淋溶流失风险。     

冻融作用对大兴安岭多年冻土区泥炭地土壤有机碳矿化的影响研究

冻融循环是影响土壤碳氮生物地球化学过程较为重要的因素。在全球变化背景下,冻融作用对冻土区土壤碳库稳定性及其关键生物地球化学过程影响研究是当前国际热点,尤其是冻融作用影响下多年冻土区泥炭地土壤有机碳矿化研究目前仍未明确。选取我国大兴安岭多年冻土区泥炭地表层（0~15 cm）和深层（15~30 cm）土壤,采用冻融试验及室内培养方法,探索分析了冻融作用影响下泥炭地土壤有机碳矿化特征,并从土壤活性碳和土壤酶活性角度阐述了影响机制。结果表明在短期的培养中,土壤有机碳矿化量在483~2836 mg/kg间波动,而冻融循环均显著降低了表层和深层土壤有机碳矿化量,并且对深层土壤有机碳的矿化抑制作用更为明显,高达76%。值得注意的是,冻融循环却明显促进了CH₄的排放,尤其是表层土壤,高达145%。冻融循环作用也显著增加了土壤可溶性有机碳（DOC）含量,但却降低了土壤微生物量碳（MBC）以及土壤纤维素酶、淀粉酶和蔗糖酶活性。冻融作用下低的土壤酶活性以及相对低质量碳是抑制土壤有机碳矿化的原因。全球变暖背景下,与单纯温度增加所导致的土壤有机碳矿化释放量相比,冻融循环作用能降低大兴安岭泥炭地活动层中土壤有机碳在短期内碳的释放。     

吉林省土壤养分监测结果初报

选择吉林省具有代表性的9个站点，对吉林省大田土壤的氨态氮、速效单质磷、速效单质钾、PH值和有机质进行了观测。结果表明，我省各地土壤氨态氮和速效单质磷的含量，均是优质地段〉中等地段〉劣质地段；同一地块不同层次表现为从上到下（10—30cm）养分含量逐渐减少，表屡养分含量明显高于底层，即10cm氮、磷含量〉20cm氮、磷舍量〉30cm氮、磷含量，而土壤钾含量与土质优劣无明显关系。不同深度的钾含量变化也不明显；白城、松原土壤呈碱性。永吉呈酸性，其它测站呈中性；同时分析了播种前和收获后土壤养分变化、PH值变化及养分丰缺情况。     

土壤溶解性有机碳测定方法与应用

溶解性有机碳是土壤圈中一种非常活跃的化学物质,它对土壤中化学物质的溶解、吸附、解吸、迁移和毒性等行为均有显著的影响。在现代土壤研究中,出现了与溶解性有机碳相关的众多术语,分析方法也各有不同。从溶解性有机碳、水溶性有机碳、活性有机碳、易氧化碳、微生物量碳、可矿化碳不同术语的角度,概述了这类碳分析意义和测定方法,以期对土壤有机质应用研究起到积极作用。     

模拟氮沉降对温带阔叶红松林地氮素净矿化量的影响

采用埋置PVC管的树脂芯方法原位测定了不同氮形态及其剂量作用下长白山阔叶红松林地0～7 cm和0～15 cm土壤氮素净氨化、净硝化和净矿化量的季节和年际变化规律.近3年的观测结果表明,对照处理不同土层氮素年净矿化量中以净氨化占主导地位,约占净矿化量的53％～72％,高剂量NO3-N的输入使该比例减少至37％～66％,而NH4-N的输入却使该比例增至86％～92％.随着模拟氮沉降量增加,土壤氮素年净矿化量也随之增加,尤其外源NH+4-N输入对净矿化量的促进作用更为明显,但随着施肥年限的延长,这种促进作用逐渐减弱.与林地0～15 cm土壤相比,氮沉降量增加对0～7 cm土壤氮素净氨化和净矿化量的促进作用更为明显,尤其是NH4Cl处理的促进作用更大.通过将实验结果与前人报道的野外原位观测整合,逐步回归分析后发现土壤氮素年净矿化量随着氮素年沉降量的增加而增大,氮沉降量对不同区域森林土壤氮素年净矿化量的贡献率约为38％;大气氮沉降量、森林有机层pH及其碳/氮比值可解释不同区域森林表层土壤氮素年净矿化量一半的变化.研究结果将利于有效预测区域林地氮素净矿化量特征及其对环境变化的响应.     

紫金山不同海拔高度土壤的碳氮分布特征

有机碳氮是影响陆地生态系统的重要因子,保持并提高土壤碳氮储量,是稳定生态系统生产力的关键.以南京紫金山土壤为研究对象,依照海拔高度进行采样,对比分析了土壤有机碳氮的变化规律.研究结果表明:紫金山土壤有机碳氮受地表植被的影响比较大,混交林>林地>草地,土壤有机碳氮总量随海拔的升高呈现上升趋势,土壤碳氮比高达34~45,且随海拔升高呈下降趋势.相关分析表明,紫金山土壤有机碳与全氮质量分数呈显著正相关关系,由此说明氮素主要以有机氮的形式存在于有机质中.     

陆面模式中氮循环过程的引入Ⅰ:模式介绍及站点验证（英文）

陆地生态系统氮循环对碳循环过程及其对气候变化的反馈具有重要的影响,但当前陆面模式多数都没有考虑氮循环过程对碳循环过程的限制。本研究基于氮在土壤-植被-大气中的传输交换过程,将氮循环过程引入到陆面模式AVIM(Atmosphere-Vegetation Interaction Model)中,发展形成包含碳氮耦合过程的新版模式AVIM-CN。与2004-05年当雄生态系统定位站通量观测数据相对比,模式中引入氮循环过程后,高寒草甸的总初级生产力模拟值从1.1403 gC m^-2d^-1降到了0.7073 gC m^-2d^-1,前者更接近通量站的观测值0.5407 gC m^-2d^-1。生态系统呼吸的模拟值也从1.7695 gC m^-2d^-1降到了1.0572 gC m^-2d^-1,更接近对应的通量观测值0.8034 gC m^-2d^-1。整体而言,在模式中考虑氮的限制作用后,当雄站的热量通量和碳通量的模拟值更接近实测值。不考虑氮过程对碳过程的限制,模式高估了约40%的陆地生态系统碳通量。     

利用次网格技术模拟华东地区大气硫氮沉降

采用数值模拟方法,在区域酸性沉降模式系统中引入次网格处理技术。通过4种次网格方案模拟结果的相互比较,选择最优方案,然后利用最优次网格方案,选取华东地区为例,进一步模拟研究大气硫氮沉降的空间分布。结果表明,就干沉积速率而言,以细网格方案(水平分辨率25 km)为参照,采用次网格方案比粗网格方案(水平分辨率75 km)有明显改进,其中“次网格风速与摩擦速度之积为常数”为最优次网格方案。华东地区硫的年总沉降量是1.92 mt(1 mt=106ton),氮的年总沉降量是0.65mt。华东地区硫化物(SO2、硫酸盐SO42-)干沉降量占总沉降量的49%,氮化物(NO、NO2、硝酸盐NO3-)干沉降量占总沉降量的80%,可见干沉降在大气沉降中具有重要地位。华东地区总的大气硫、氮沉降量中,70%以上到达有植被覆盖的土壤生态系统,这将对农田、草地和森林的硫素和氮素平衡有重要影响。此外,华东部分地区的硫沉降已经超过了临界负荷,而氮沉降尚未出现超临界负荷的现象。     

Manipulating snow cover in an alpine bog: effects on ecosystem respiration and nutrient content in soil and microbes

Snow amount is expected to decline in the Northern hemisphere as an effect of climate warming. However, snow amount in alpine regions will probably undergo stronger interannual fluctuations than elsewhere. We set up a short-term (1?year) experiment in which we manipulated snow cover in an alpine bog, with the following protocol: snow removal at the end of winter; snow removal in spring; snow addition in spring; removal of all aboveground plant tissues with no snow manipulation; no manipulation at all. We measured, at different dates from late spring to early autumn: ecosystem respiration (ER), and concentrations of carbon (C), nitrogen (N) and phosphorus (P) in the soil and in microbes. We hypothesized that longer duration of snow cover will lead to: i) higher ER rates associated with increased microbial biomass; and ii) decreased soil nutrient availability. Contrary to our first hypothesis, ER and microbial C content were unaffected by the snow cover manipulations, probably because ER was decoupled from microbial biomass especially in summer, when CO₂ efflux was dominated by autotrophic respiration. Our second hypothesis also was partially contradicted because nutrient content in the soil and in plants did not vary in relation to snow cover. However, we observed unexpected effects of snow cover manipulations on the N : P ratio in the microbial biomass, which declined after increasing snow cover. This probably depended on stimulation of microbial activity, which enhanced absorption of P, rather than N, by microbes. This may eventually reduce P availability for plant uptake.     

高CO2条件下贝加尔针毛对土壤干旱胁迫响应的试验研究

贝加尔针毛 (Stipa baicalensis) 是我国内蒙古东部和东北西部主要的地带性植被之一。通过人工模拟试验分析了CO₂浓度升高对贝加尔针毛的“施肥”效应, 结果表明:贝加尔针毛的生物量、生长量随CO₂浓度的升高而增加, 根中P的含量、叶中C、N、P的含量也随CO₂浓度的升高而增加。土壤干旱胁迫对贝加尔针毛的生物量、生长量的影响均为负效应, 且干旱程度的加重使影响更明显。干旱使针毛叶、根中的C、N含量增加。     

塔克拉玛干沙漠公路人工防护林植被的C, N化学计量特征及其固存能力研究

本研究以塔克拉玛干沙漠公路沿线生物防护林为研究对象,研究防护林三种主要建林植物不同器官的C,N含量及其生物量,进而估算其C, N固存能力及固碳释氧价值。结果显示：沙拐枣每个器官的生物量均显著高于梭梭和柽柳(P<0.05),个体的总生物量是梭梭和柽柳的2-3倍。整个防护林在建林8年后的总生物量达到116786.4 t。C,N含量在不同器官中的含量不尽相同,三种植物均表现为凋落物C含量最低。而植物叶中的N含量均显著高于枝,凋落物和根系(P<0.05)。建林8年后梭梭单株的固碳量为1404.6g,固氮量为201.5g,柽柳单株的固碳量为1449.7g,固氮量为195.4g,沙拐枣单株的固碳量和固氮量显著高于其他两种,分别为3979.8g,为520.9g,(P<0.05)。建林8年后整个防护林的总固碳植为35886.3 t,总固氮值为4917.7 t。整个防护林的固碳总价值为22555.3万元,释氧价值为50320万元,总的固碳释氧价值达72875.3万元。     

厌氧条件下土壤反硝化气体(N2、N2O、NO)和CO2排放——氦环境培养—气体同步直接测定法的应用初探

反硝化过程是维系闭合氮循环所必需的氮素形态转化环节。土壤反硝化过程速率及产物比的直接测定是研究氮循环过程机理的基础,但却是一个难题。为解决此难题,德国卡尔斯鲁厄技术研究所与中国科学院大气物理研究所最近合作新建了一套通过氦环境培养-气体同步直接测定土壤反硝化气体--氮气（N2）、氧化亚氮（N2O）、一氧化氮（NO）和二氧化碳（CO2）排放的系统和与之配套的三阶段培养方法。为检验该新建系统和配套方法测定土壤反硝化过程的准确性和可靠性,以华北地区广泛分布的盐碱地农田土壤（采自山西运城）为研究对象开展实验室培养试验,在初始可溶性有机碳（DOC）供应比较充足约300 mgC kg–1干土（d.s.）的条件下,测试了不同初始土壤硝态氮含量水平（10、100 mgN kg–1d.s.左右,分别表示为10N和100N）的反硝化气体和CO2排放过程。结果显示：100N的反硝化速率（定义为N2、N2O 和NO 排放速率之和）显著高于10N 处理（统计检验显著水平p＜0.01）;两个处理的反硝化产物均以N2为主（质量比分别占77%和75%）,产物的NO/N2O摩尔比分别为1.2和1.5,N2O/N2摩尔比均为0.19;土壤反硝化气体动态排放速率及相关指标的测定结果表明,培养土壤中消失的硝态氮被回收81%～87%,培养前后的氮平衡率达92%～95%。因此,该新建方法测定土壤反硝化速率和产物比的结果具有很好的可靠性,为定量研究土壤反硝化过程提供了有效的直接测定手段。研究中检测到的土壤反硝化产物NO/N2O摩尔比大于1,不同于以往用液体培养基纯培养反硝化细菌得出的NO/N2O摩尔比远小于1的结论。这意味着,不能用NO/N2O摩尔比小于1与否来推断土壤排放的N2O和NO是主要来源于反硝化作用还是硝化作用。     

盘锦湿地芦苇群落土壤碱解氮及溶解性有机碳季节动态

基于2005年4～10月盘锦湿地芦苇群落土壤不同土层土壤碱解氮及溶解性有机碳的观测资料,分析了盘锦湿地芦苇群落土壤碱解氮与溶解性有机碳(DOC)的季节动态。结果表明:不同土层碱解氮、溶解性有机碳的季节动态并不相同。0～10 cm土层碱解氮与DOC季节动态相似,6月土壤碱解氮与DOC含量均最高,分别为244.86 mg/kg和13.16 mg/L。8月碱解氮含量最低,为139.18 mg/kg;9月DOC含量最低。10～20 cm土层DOC的季节性动态变化与表土具有相似性,峰值均出现在6月,谷值出现在9月;10～20 cm土层碱解氮最低值出现在6月,与0～10 cm土层不同。20～30 cm土层内,4～7月DOC几乎无变化,8月DOC含量最低,9月增加;4～5月碱解氮波动较大,5月降到102 mg/kg,6月增加到151 mg/kg。研究表明,盘锦湿地芦苇群落土壤微生物活性与凋落物分解对DOC及碱解氮的季节动态有很大的影响,同时温度、降水量及冻融也影响着DOC及碱解氮的季节动态。     

冻融作用对石油污染土壤微生物修复的影响

结合近年来中国和其他国家有关石油污染土壤微生物修复研究的进展,阐述了石油污染土壤微生物修复的原理、现状及影响因素,并指出了目前石油污染土壤微生物修复过程中存在的主要问题。初步探讨了冻融作用在石油污染土壤微生物修复过程中,对土壤微生物、环境因子的影响,以期为微生物修复技术在中国东北地区石油污染土壤中的实际应用提供理论依据。     

A global model of changing N2O emissions from natural and perturbed soils

A high resolution global model of the terrestrial biosphere is developed to estimate changes in nitrous oxide (N₂O) emissions from 1860–1990. The model is driven by four anthropogenic perturbations, including land use change and nitrogen inputs from fertilizer, livestock manure, and atmospheric deposition of fossil fuel NO _x . Global soil nitrogen mineralization, volatilization, and leaching fluxes are estimated by the model and converted to N₂O emissions based on broad assumptions about their associated N₂O yields. From 1860–1990, global N₂O emissions associated with soil nitrogen mineralization are estimated to have decreased slightly from 5.9 to 5.7 Tg N/yr, due mainly to land clearing, while N₂O emissions associated with volatilization and leaching of excess mineral nitrogen are estimated to have increased sharply from 0.45 to 3.3 Tg N/yr, due to all four anthropogenic perturbations. Taking into account the impact of each perturbation on soil nitrogen mineralization and on volatilization and leaching of excess mineral nitrogen, global 1990 N₂O emissions of 1.4, 0.7, 0.4 and 0.08 Tg N/yr are attributed to fertilizer, livestock manure, land clearing and atmospheric deposition of fossil fuel NO _x , respectively. Consideration of both the short and long-term fates of fertilizer nitrogen indicates that the N₂O/fertilizer-N yield may be 2% or more.C. NBM Definitions AET _mon (cm H₂O) = monthly actual evapotranspiration - AET _ann (cm H₂O) = annual actual evapotranspiration - age _h (years) = stand age of herbaceous biomass - age _w (years) = stand age of woody biomass - atmblc (gC/m²/month) = net flux of CO₂ from grid - biotoc (gC/g biomass) = 0.50 = convert g biomass to g C - beff _h = 0.8 = fraction of cleared herbaceous litter that is burned - beff _w = 0.4 = fraction of cleared woody litter that is burned - bfmin = 0.5 = fraction of burned N litter that is mineralized or converted to reactive gases which rapidly redeposit. Remainder assumed pyrodenitrified to N₂. + N₂O - bprob = probability that burned litter will be burned - burn _h (gC/m²/month) = herbaceous litter burned after land clearing - burn _w (gC/m²/month) = woody litter burned after land clearing - cbiomsh (gC/m²) = C herbaceous biomass pool - cbiomsw (gC/m²) = C woody biomass pool - clear (gC/m²/month) = woody litter C removed by land clearing - clearn (gN/m²/month) = woody litter N removed by land clearing - cldh (month^–1) = herbaceous litter decomposition coefficient - cldw (month^–1) = woody litter decomposition coefficient - clittrh (gC/m²) = C herbaceous litter pool - clittrw (gC/m²) = C woody litter pool - clph (month^–1) = herbaceous litter production coefficient - clpw (month^–1) = woody litter production coefficient - cnrath (gC/gN) = C/N ratio in herbaceous phytomass - cnrats (gC/gN) = C/N ratio in soil organic matter - cnratt (gC/gN) = average C/N ratio in total phytomass - cnratw (gC/gN) = C/N ratio in woody phytomass - crod (month^–1) = forest clearing coefficient - csocd (month^–1) = actual soil organic matter decompostion coefficient - decmult decomposition coefficient multiplier; natural =1.0; agricultural =1.0 (1.2 in sensitivity test) - fertmin (gN/m²/month) = inorganic fertilizer input - fleach fraction of excess inorganic N that is leached - fligh (g Lignin/ g C) = lignin fraction of herbaceous litter C - fligw (g Lignin/ g C) = 0.3 = lignin fraction of woody litter C - fln2o = .01–.02 = fraction of leached N emitted as N₂O - fnav = 0.95 = fraction of mineral N available to plants - fosdep (gN/m²/month) = wet and dry atmospheric deposition of fossil fuel NO _x - fresph = 0.5 = fraction of herbaceous litter decomposition that goes to CO₂ respiration - fresps = 0.51 + .068 ^* sand = fraction of soil organic matter decomposition that goes to CO₂ respiration - frespw = 0.3 ^* (^* see comments in Section 2.3 under decomposition) = fraction of woody litter decomposition that goes to CO₂ respiration - fsoil = ratio of NPP measured on given FAO soil type to NPF_miami - fstruct = 0.15 + 0.018 ^* ligton = fraction of herbaceous litter going to structural/woody pool - fvn2o = .05–.10 = fraction of excess volatilized mineral N emitted as N₂O - fvol = .02 = fraction of gross mineralization flux and excess mineral N volatilized - fyield ratio of total agricultural NPP in a given country in 1980 to total NPP_miami of all displaced natural grids in that country - gimmob _h (gN/m²/month) = gross immobilization of inorganic N into microbial biomass due to decomposition of herbaceous litter - gimmob _s (gN/m²/month) = gross immobilization of inorganic N into microbial biomass due to decomposition of soil organic matter - gimmob _w (gN/m²/month) = gross immobilization of inorganic N into microbial biomass due to decomposition of woody litter - graze (gC/m²/month) = C herbaceous biomass grazed by livestock - grazen (gN/m²/month) = N herbaceous biomass grazed by livestock - growth _h (gC/m²/month) = herbaceous litter incorporated into microbial biomass - growth _w (gC/m²/month) = woody litter incorporated into microbial biomass - gromin _h (gN/m²/month) = gross N mineralization due to decomposition and burning of herbaceous litter - gromin _s (gN/m²/month) = gross N mineralization due to decomposition of soil organic matter - gromin _w (gN/m²/month) = gross N mineralization due to decomposition and burning of woody litter - herb herbaceous fraction by weight of total biomass - leach (gN/m²/month) = leaching (& volatilization) losses of excess inorganic N - ligton (g lignin-C/gN) = lignin/N ratio in fresh herbaceous litter - LP _h (gC/m²/month)= C herbaceous litter production - LP (gC/m²/month) = C woody litter production - LPN _h (gN/m²/month) = N herbaceous litter production - LPN _W (gN/m²/month) = N woody litter production - manco2 (gC/m²/month) = grazed C respired by livestock - manlit (gC/m²/month) = C manure input (feces + urine) - n2oint (gN/m²/month) = intercept of N₂O flux vs gromin regression - n2oleach (gN/m²/month) = N₂O flux associated with leaching and volatilization of excess inorganic N - n2onat (gN/m²/month) = natural N₂O flux from soils - n2oslope slope of N₂O flux vs gromin regression - nbiomsh (gN/m²) = N herbaceous biomass pool - nbiomsw (gN/m²) = N woody biomass pool - nfix (gN/m²/month) = N₂ fixation + natural atmospheric deposition - nlittrh (gN/m²) = N herbaceous litter pool - nlittrw (gN/m²) = N woody litter pool - nmanlit (gN/m²/month) = organic N manure input (feces) - nmanmin (gN/m²/month) = inorganic N manure input (urine) - nmin (gN/m²) = inorganic N pool - NPP _acth (gC/m²/month)= actual herbaceous net primary productivity - NPP _actw (gC/m²/month) = actual woody net primary productivity - nvol (gN/m²/month) = volatilization losses from inorganic N pool - plntnav (gN/m²/month)= mineral N available to plants - plntup _h (gN/m²/month) = inorganic N incorporated into herbaceous biomass - plntup _w (gN/m²/month) = inorganic N incorporated into woody biomass - precip _ann (mm) = mean annual precipitation - precip _mon (mm) = mean monthly precipitation - pyroden _h (gN/m²/month) = burned herbaceous litter N that is pyrodenitrified to N₂ - pyroden _w (gN/m²/month) = burned woody litter N that is pyrodenitrified to N₂ - recyc fraction of N that is retranslocated before senescence - resp _h (gC/m²/month) = herbaceous litter CO₂ respiration - resp _s (gC/m²/month) = soil organic carbon CO₂ respiration - resp _w (gC/m²/month) = woody litter CO₂ respiration - sand sand fraction of soil - satrat ratio of maximum NPP to N-limited NPP - soiloc (gC/m²) = soil organic C pool - soilon (gN/m²) = soil organic N pool - temp _ann (°C) = mean annual temperature - temp _mon (°C) = mean monthly temperature Now at the NOAA Aeronomy Laboratory, Boulder, Colorado.     

Carbon storage in the grasslands of China based on field measurements of above- and below-ground biomass

Above- and below-ground biomass values for 17 types of grassland communities in China as classified by the Chinese Grasslands Resources Survey were obtained from systematic replicated sampling at 78 sites and from published records from 146 sites. Most of the systematic samples were along a 5,000-km-long transect from Hailar, Inner Mongolia (49°15′N, 119°15′E), to Pulan, Tibet (30°15′N, 81°10′E). Above-ground biomass was separated into stem, leaf, flower and fruit, standing dead matter, and litter. Below-ground biomass was measured in 10-cm soil layers to a depth of 30 cm for herbs and to 50 cm for woody plants. Grassland type mean total biomass carbon densities ranged from 2.400 kg m⁻² for swamp to 0.149 kg m⁻² for alpine desert grasslands. Ratios of below- to above-ground carbon density varied widely from 0.99 for tropical tussock grassland to 52.28 for alpine meadow. Most below-ground biomass was in the 0–10 cm soil depth layer and there were large differences between grassland types in the proportions of living and dead matter and stem and leaf. Differences between grassland types in the amount and allocation of biomass showed patterns related to environments, especially aridity gradients. Comparisons of our estimates with other studies indicated that above-ground biomass, particularly forage-yield biomass, is a poor predictor of total vegetation carbon density. Our estimate for total carbon storage in the biomass of the grasslands of China was 3.32 Pg C, with 56.4% contained in the grasslands of the Tibet-Qinghai plateau and 17.9% in the northern temperate grasslands. The need for further standardized and systematic measurements of vegetation biomass to validate global carbon cycles is emphasised.     

中国南京与美国德克萨斯稻田甲烷排放的比较(英文)

稻田甲烷排放试验分别在南京与德克萨斯水稻生长季实施，观测期内测定甲烷排放通量、上壤温度和水稻生物量。结果表明：南京稻田土镶温度的季节性变幅为１５．３℃，甲烷排放通量与土壤温度成非线性正相关而与水稻生物量无关；德克萨斯稻田土壤温度的季节性变幅为的２．９℃，甲烷排放通量与土壤温度无关而与水稻生物量成线性正相关。由此得出结论：在持续淹水和无外源有机碳施加的条件下，土壤温度变幅大的地区驱动稻田甲烷排放季节性变化的关键因子为土壤温度，土壤温度变幅小的地区其关键驱动因子则为水稻的生长量。