高寒草甸退化对祁连山土壤微生物生物量和氮矿化速率的影响

为深入了解高寒草甸退化对草原生态系统中土壤微生物碳氮量、土壤氮矿化及土壤微生物相关酶的变化特征,以祁连山东缘4个不同退化程度(未退化、轻度退化、中度退化和极度退化)的高寒草甸为研究对象,采集了深度为0—10 cm的土壤样品,并对不同退化程度高寒草甸中植物因子、土壤理化性质、土壤氨化速率、土壤硝化速率、土壤净氮矿化速率以及转化氮素的相关酶和微生物进行了相关研究。结果表明:(1)随退化程度的加剧,高寒草甸土壤中氨化速率和净氮矿化速率逐渐降低,硝化速率逐渐升高;(2)高寒草甸的退化降低了有关氮素转化相关酶,如土壤蛋白酶、脲酶、亮氨酸氨基肽酶的活性,而β-乙酰葡糖胺糖苷酶的活性呈先下降后上升趋势,且在极度退化草地活性最高;(3)随退化程度的加剧,高寒草甸土壤中微生物生物量碳和氮的含量逐渐降低,同时土壤基础呼吸、土壤微生物熵和代谢熵的指数也呈下降趋势。RDA分析表明,高寒草甸中氨化速率和净氮矿化速率与微生物生物量碳、微生物生物量氮、土壤基础呼吸、植物高度、植被盖度、地上生物量、蛋白酶、脲酶以及亮氨酸氨基肽酶呈显著正相关,而硝化速率则表现为负相关性。因此,高寒草甸退化对土壤微生物特性以及氮素转化和循环具有重要影响。     

模拟增温对西藏高原高寒草甸土壤供氮潜力的影响

过去几十年青藏高原呈现显著的增温趋势,冬季增温幅度显著高于生长季的季节非对称特征。气候变暖会对生态系统氮素循环产生重要影响,但关于全年增温与冬季增温对高寒生态系统氮循环的不同影响仍缺乏研究。在青藏高原高寒草甸区开展模拟增温试验,研究季节非对称增温对高寒草甸生态系统氮循环的影响。该试验布设于2010年7月,设置3种处理(不增温、冬季增温与全年增温)。研究结果发现,开顶箱增温装置造成了小环境的暖干化:显著提高了地表空气温度和表层土壤温度,降低了表层土壤含水量。冬季增温会加剧土壤中氮素的流失,所以在经历了冬季增温后土壤氮含量显著降低;在生长季节,土壤氮素周转速率受土壤水分的调控,在降雨较少的季节,增温引起的土壤含水量降低会抑制土壤氮周转速率。对于土壤微生物量而言,高寒草甸土壤微生物量碳表现出明显的季节动态,在生长季旺盛期较低,在生长季末期和初冬季节反而较高,这说明为了降低对土壤养分的竞争,高寒草甸植物氮吸收与土壤微生物氮固持在时间上存在分离。研究结果表明,冬季增温导致的土壤养分含量变化会影响随后生长季植物群落的生产力、结构组成与碳氮循环等过程,对生态系统过程产生深远的影响。     

青藏高原高寒草甸植物群落生物量对氮、磷添加的响应

青藏高原正经历着明显的温暖化过程, 由此引起的土壤温度的升高促进了土壤中微生物的活性, 同时青藏高原东缘地区大气氮沉降十分明显, 并呈逐年增加的趋势, 这些环境变化均促使土壤中可利用营养元素增加, 因此深入了解青藏高原高寒草甸植物生物量对可利用营养元素增加的响应, 是准确预测未来全球变化背景下青藏高原高寒草甸碳循环过程的重要基础。该研究基于在青藏高原高寒草甸连续4年(2009-2012年)氮、磷添加后对不同功能群植物地上生物量、群落地上和地下生物量的测定, 探讨高寒草甸生态系统碳输入对氮、磷添加的响应。结果表明: (1)氮、磷添加均极显著增加了禾草的地上绝对生物量及其在群落总生物量中所占的比例, 同时均显著降低了杂类草在群落总生物量中的比例, 此外磷添加极显著降低了莎草地上绝对生物量及其在群落总生物量中所占的比例。(2)氮、磷添加均显著促进了青藏高原高寒草甸的地上生物量增加, 分别增加了24%和52%。(3)氮添加对高寒草甸地下生物量无显著影响, 而磷添加后地下生物量有增加的趋势。(4)氮添加对高寒草甸植物总生物量无显著影响, 而磷添加后植物总生物量显著增加。研究表明, 氮、磷添加可缓解青藏高原高寒草甸植物生长的营养限制, 促进植物地上部分的生长, 然而高寒草甸植物的生长极有可能更受土壤中可利用磷含量的限制。     

短期增温与施氮对青藏高原高寒沼泽草甸生态系统CO_2排放的影响

采用开顶式增温小室(OTC)和外源氮素添加的方式,研究了气温升高、氮沉降增加及其交互作用对青藏高原腹地生长季沼泽草甸生态系统呼吸的短期影响。结果表明:增温、施氮及其交互作用通过促进植物生物量积累、增加微生物数量与活性以及改变土壤养分状况,对沼泽草甸生态系统呼吸速率均产生了显著的促进作用;生态系统呼吸与单一环境因子间符合指数或二次多项式关系,但两种关系的显著性随着样地处理方式趋向复杂而逐渐降低;由于沼泽草甸充足的水分条件,气温和土壤温度共同决定了不同处理内80%的生态系统呼吸变异;增温使地上与地下生物量显著增加,但地下生物量的分配比例上升;施氮使地上生物量明显增加,但对地下生物量的影响不显著;增温同时施氮使地上及地下生物量均显著上升,但生物量的分配格局变化并不显著。     

模拟升温和放牧对高寒草甸土壤有机碳氮组分和微生物生物量的影响

土壤活性、惰性有机质库和微生物生物量在数量和分配上的变化是陆地生态系统土壤有机质贮存和动态变化的决定性因素。采用OTCs(Open top chambers)升温以及刈割+粪便归还的方法,对青藏高原东部高寒草甸土壤有机碳氮组分和微生物生物量对气候变暖和放牧的响应进行了研究。结果表明,模拟升温在短期内显著降低土壤活性有机碳Ⅰ、活性有机氮Ⅰ和惰性有机碳的含量,而由于粪便归还作用,放牧明显增加土壤活性有机碳、氮Ⅰ的含量。模拟升温和放牧对有机碳、氮组分的作用效应相互抵消,两者共同作用下有机碳、氮组分仅略有降低。单一的模拟升温或放牧没有显著改变微生物生物量碳,但是两者共同作用却能够大大增加微生物生物量碳。放牧和取样时间存在着明显的交互作用,放牧效应随时间递减。本研究表明,气候变暖对放牧草甸有机碳、氮组分影响不大;放牧过程中的牲畜粪便归还作用不容忽视。     

增温对青藏高原高寒草甸生态系统固碳通量影响的模拟研究

低温被广泛认为是高寒草甸生态系统首要限制性因子,因此增温可能会在某种程度上促进初级生产力,但是也可能由于土壤水分、N素营养状况的改变形成新胁迫而抑制生产力提高。此外,生态系统呼吸由于增温而提高的幅度也可能高于初级生产力提高的幅度,造成总碳库平衡的改变。利用青藏高原海北高寒草甸实测数据对生态系统过程模型Biome-BGC(V.4.2)进行了参数化,并利用研究区实测土壤水分(0-40 cm)和其它观测数据对模型进行了检验,证明模型模拟结果较为可靠。模型使用2005-2008年的海北气象站实测气象数据包括气温、降水等作为驱动数据,模拟了增温1.2-1.7℃下青藏高原海北定位站高寒草甸生态系统碳通量的变化,并整合分析增温试验平台上已发表的试验,与模拟结果进行对比,探讨增温对海北高寒草甸生态系统碳收支的可能影响。结果表明:2005-2008年青藏高原高寒草甸生态系统为弱的碳汇,短期增温导致系统净碳固定增加。增温直接影响系统碳通量,也通过土壤水分和土壤矿化氮变化间接影响碳通量,相比土壤水分和氮素,增温对影响碳通量变化过程中的效应更大;研究也揭示,在增温条件下,植物对土壤矿化氮的吸收量小于有机质分解产生的土壤矿化氮量,土壤矿化氮含量增加。     

Plant diversity promotes soil fungal pathogen richness under fertilization in an alpine meadow

高寒草甸植物多样性促进了施肥条件下土壤真菌病原体的丰富度 在农业生态系统中,氮添加对植物病原真菌丰富度和相对多度的影响已被基本阐明,然而在自然生态系统中,氮添加如何影响土壤中的植物病原真菌(通过影响植物群落结构或土壤理化指标)仍知之甚少。本研究以青藏高原东部高寒草甸为研究对象,基于7年的氮添加梯度野外实验,使用Miseq平台,针对土壤真菌的ITS1基因进行测序,以评估氮添加对高寒草甸土壤中的植物病原菌丰富度和相对多度的影响,并阐明氮添加通过不同途径(即植物群落结构和土壤理化指标)影响病原菌的潜在机制。基于模型筛选和结构方程模型等统计方法,本研究发现,氮添加通过改变土壤理化指标影响土壤中的植物病原菌相对多度。但是,在排除掉氮添加对土壤中植物病原菌丰富度的影响后,地上植物物种丰富度与土壤中植物病原菌丰富度仍存在显著的正相关性。因此,我们认为高寒草甸土壤中植物病原菌丰富度和相对多度受到不同的机制调控。世界范围内,自然生态系统中氮素输入量的加剧(包括氮沉降和氮肥施用)所引起的植物物种丧失引起了人类的较大关注。除此之外,氮素输入所引起的植物病原菌丰富度和相对多度的变化也值得我们警醒,因为植物病原菌群落结构的改变可能会对生态系统功能和服务产生重要影响。     

云南香格里拉地区亚高山草甸不同放牧管理方式下的碳排放

青藏高原由于高寒低温限制了有机碳的分解,大量的碳积累在土壤碳库中,对全球升温的反应很敏感.放牧可能会对该区草甸的碳排放产生显著影响.采用闭合箱动态法测定了云南香格里拉地区不同放牧管理方式下的亚高山草甸生态系统呼吸与土壤呼吸.常年放牧草甸与季节性放牧草甸的生态系统呼吸和土壤呼吸均呈现相似且明显的单峰季节变化特征,7月份达最大值,生态系统呼吸分别为9.77、8.03 μmol CO2 m-2 s-1,土壤呼吸分别为8.05、7.74 μmol CO2 m-2 s-1;1月份达最低值,生态系统呼吸分别为0.21、0.48 μmol CO2 m-2 s-1,土壤呼吸分别为0.16、0.49 μmol CO2 m-2 s-1.受一天中气温和土温的影响,常年放牧草甸的生态系统呼吸与土壤呼吸的日变化在夏季与冬季均呈现明显的单峰曲线变化,最高值都出现在14:00左右,最低值出现在凌晨.在夏季6～10月份,常年放牧草甸的呼吸显著大于季节性放牧草甸,表明较高的放牧强度增加了亚高山草甸的碳排放.土壤温度的指数模型F = aebT比土壤水分能更好地解释呼吸的变异性(R2 = 0.50～0.78,P < 0.0001).二元回归模型F=aebTWc比单因子模型的效果更好(R2=0.56～0.89,P < 0.0001).土壤呼吸在整个亚高山草甸生态系统呼吸中占主导地位,在常年放牧草甸与季节性放牧草甸分别为63.0%～92.7%和47.5%～96.4%,地上植物呼吸随生长季的变化而变化,在生长旺季占有较大的比例.生态系统呼吸和土壤呼吸的长期Q10(1a)是短期Q10(1d)的2倍左右.季节性放牧草甸的长期Q10小于常年放牧草甸,表明在温度上升的背景下,放牧压力较小的草甸碳库较为稳定,具有较好的碳截存能力.     

The interactive effects of nitrogen addition and increased precipitation on gross ecosystem productivity in an alpine meadow

氮水添加对高寒草甸生态系统生产力的影响 降水变化和大气氮沉降增加对草原生态系统碳交换具有重要的影响,进而影响草地生产力、群落组成和生态系统功能。然而,氮水添加对高寒草甸生态系统碳交换的影响目前尚不清楚。因此,本研究在青藏高原高寒草甸布设氮水添加试验,设置4种不同处理：对照、 加氮、加水和同时添加氮水,对生态系统碳交换过程进行了连续4年的原位观测。研究结果发现,氮添加可以增加总生态系统生产力(GEP)、植物地上生物量、群落盖度和群落加权平均高度(CWMh),而水分添加没有显著影响。生态系统碳交换对氮水添加的响应在干湿年存在显著差异。水分添加仅在干旱年对净生态系统碳交换(NEE)具有显著影响,原因是GEP的增加量大于生态系统呼吸(ER)。相反,氮添加仅在湿润年显著提高了生态系统碳交换,其中GEP的增加归因于NEE的增加量大于ER。结构方程结果表明,氮添加主要通过增加优势种的盖度从而提高NEE。本研究强调了降水和优势物种在调节高寒草甸生态系统响应环境变化中的重要作用。     

短期氮沉降对纳帕海高寒退化疏花早熟禾草甸土壤呼吸干湿季变化的影响

为探究氮沉降增加背景下高寒草甸土壤呼吸干湿季变化及其与环境因子的耦合关系,选择纳帕海典型退化草甸疏花早熟禾群落,设置对照(0 g·m^-2·a^-1)、低氮(5 g·m^-2·a^-1)、中氮(10 g·m^-2·a^-1)和高氮(15 g·m^-2·a^-1)4个水平的氮沉降模拟试验,分析氮沉降引起的地上生物量、植物多样性及土壤理化性质变化对土壤呼吸的影响。结果表明：不同氮沉降处理均显著促进草甸土壤呼吸,干季和湿季土壤呼吸速率相较于对照分别增加了21.9%～53.9%和27.3%～51.2%,且在中氮处理下增幅最大。氮沉降显著提升草甸地上生物量(增幅达52.2%～66.4%);植物多样性随氮添加总体呈降低趋势,湿季最大降幅(13.5%～24.2%)出现在高氮处理。氮沉降显著增加土壤铵态氮、有机质、微生物生物量碳氮、温度和含水率(增幅为14.3%～333.5%),氮沉降显著降低土壤pH(减幅达9.0%～34.6%)。结构方程表明...     

青藏高原高寒草甸土壤CO2排放对模拟氮沉降的早期响应

研究大气氮沉降输入对青藏高原高寒草甸土壤-大气界面CO₂交换通量的影响,对于准确评价全球变化背景下区域碳平衡至关重要。通过构建多形态、低剂量的增氮控制试验,利用静态箱-气相色谱法测定土壤CO₂排放通量,同时测定相关土壤变量和地上生物量,分析高寒草甸土壤CO₂排放特征及其主要驱动因子。研究结果表明:低、高剂量氮输入倾向于消耗土壤水分,而中剂量氮输入有利于土壤水分的保持;施氮初期总体上增加了土壤无机氮含量,铵态氮累积效应更为显著;施氮显著增加地上生物量和土壤CO₂排放通量,铵态氮的促进效应显著高于硝态氮。另外,土壤CO₂排放通量主要受土壤温度驱动,其次为地上生物量和铵态氮储量。上述结果反映了氮沉降输入短期内可能刺激了植物生长和土壤微生物活性,加剧了土壤-大气界面CO₂排放。     

Carbon dioxide fluxes in a spatially and temporally heterogeneous temperate grassland

Landscape position, grazing, and seasonal variation in precipitation and temperature create spatial and temporal variability in soil processes, and plant biomass and composition in grasslands. However, it is unclear how this variation in plant and soil properties affects carbon dioxide (CO₂) fluxes. The aim of this study is to explore the effect of grazing, topographic position, and seasonal variation in soil moisture and temperature on plant assimilation, shoot and soil respiration, and net ecosystem CO₂ exchange (NEE). Carbon dioxide fluxes, vegetation, and environmental variables were measured once a month inside and outside long-term ungulate exclosures in hilltop (dry) to slope bottom (mesic) grassland throughout the 2004 growing season in Yellowstone National Park. There was no difference in vegetation properties and CO₂ fluxes between the grazed and the ungrazed sites. The spatial and temporal variability in CO₂ fluxes were related to differences in aboveground biomass and total shoot nitrogen content, which were both related to variability in soil moisture. All sites were CO₂ sinks (NEE>0) for all our measurments taken throughout the growing season; but CO₂ fluxes were four- to fivefold higher at sites supporting the most aboveground biomass located at slope bottoms, compared to the sites with low biomass located at hilltops or slopes. The dry sites assimilated more CO₂ per gram aboveground biomass and stored proportionally more of the gross-assimilated CO₂ in the soil, compared to wet sites. These results indicate large spatio-temporal variability of CO₂ fluxes and suggest factors that control the variability in Yellowstone National Park.     

高寒草地土壤温室气体排放对放牧的响应研究进展

高寒草地生态系统具有独特的地理环境和气候特征,对放牧干扰十分敏感,在全球温室气体通量中贡献突出,研究高寒草地放牧对土壤温室气体排放的影响机制具有重要意义。本文总结高寒草地温室气体源/汇特征、不同放牧方式对土壤微环境和微生物群落结构的影响,发现高寒草地主要是CO₂源、CH₄汇、N₂O源。放牧通过家畜选择性采食、践踏和排泄物返还等多重机制作用于地上植物、土壤结构、温度、湿度和养分,进而影响地下微生物及温室气体通量。本文旨在为高寒草地生态系统健康发展和管理及缓解全球气候变化提供科学依据,并对未来研究方向进行展望。     

Long-Term Consequences of Grazing and Burning on Northern Peatland Carbon Dynamics

Abstract Using a 50-year-old field experiment, we investigated the effects of the long-term land management practices of repeated burning and grazing on peatland vegetation and carbon dynamics (C). Plant community composition, C stocks in soils and vegetation, and C fluxes of CO₂, CH₄ and DOC, were measured over an 18-month period. We found that both burning and grazing reduced aboveground C stocks, and that burning reduced C stocks in the surface peat. Both burning and grazing strongly affected vegetation community composition, causing an increase in graminoids and a decrease in ericoid subshrubs and bryophytes relative to unburned and ungrazed controls; this effect was especially pronounced in burned treatments. Soil microbial properties were unaffected by grazing and showed minor responses to burning, in that the C:N ratio of the microbial biomass increased in burned relative to unburned treatments. Increases in the gross ecosystem CO₂ fluxes of respiration and photosynthesis were observed in burned and grazed treatments relative to controls. Here, the greatest effects were seen in the burning treatment, where the mean increase in gross fluxes over the experimental period was greater than 40%. Increases in gross CO₂ fluxes were greatest during the summer months, suggesting an interactive effect of land use and climate on ecosystem C cycling. Collectively, our results indicate that long-term management of peatland has marked effects on ecosystem C dynamics and CO₂ flux, which are primarily related to changes in vegetation community structure.     

Effects of plant species diversity, atmospheric [CO2], and N addition on gross rates of inorganic N release from soil organic matter

A significant challenge in predicting terrestrial ecosystem response to global changes comes from the relatively poor understanding of the processes that control pools and fluxes of plant nutrients in soil. In addition, individual global changes are often studied in isolation, despite the potential for interactive effects among them on ecosystem processes. We studied the response of gross N mineralization and microbial respiration after 6 years of application of three global change factors in a grassland field experiment in central Minnesota (the BioCON experiment). BioCON is a factorial manipulation of plant species diversity (1, 4, 9 and 16 prairie species), atmospheric [CO₂] (ambient and elevated: 560 μmol mol^?1), and N inputs (ambient and ambient +4 g N m^?2 yr^?1). We hypothesized that gross N mineralization would increase with increasing levels of all factors because of stimulated plant productivity and thus greater organic inputs to soils. However, we also hypothesized that N addition would enhance, while elevated [CO₂] and greater diversity would temper, gross N mineralization responses because of increased and reduced plant tissue N concentrations, respectively. In partial support of our hypothesis, gross N mineralization increased with greater diversity and N addition, but not with elevated [CO₂]. The ratio of gross N mineralization to microbial respiration (i.e. the ‘yield’ of inorganic N mineralized per unit C respired) declined with greater diversity and [CO₂] suggesting increasing limitation of microbial processes by N relative to C in these treatments. Based on these results, we conclude that the plant supply of organic matter primarily controls gross N mineralization and microbial respiration, but that the concentration of N in organic matter input secondarily influences these processes. Thus, in systems where N limits plant productivity these global change factors could cause different long‐term ecosystem trajectories because of divergent effects on soil N and C cycling.     

Enhanced CO2 uptake is marginally offset by altered fluxes of non-CO2 greenhouse gases in global forests and grasslands under N deposition

Despite the increasing impact of atmospheric nitrogen (N) deposition on terrestrial greenhouse gas (GHG) budget, through driving both the net atmospheric CO₂ exchange and the emission or uptake of non-CO₂ GHGs (CH₄ and N₂O), few studies have assessed the climatic impact of forests and grasslands under N deposition globally based on different bottom-up approaches. Here, we quantify the effects of N deposition on biomass C increment, soil organic C (SOC), CH₄ and N₂O fluxes and, ultimately, the net ecosystem GHG balance of forests and grasslands using a global comprehensive dataset. We showed that N addition significantly increased plant C uptake (net primary production) in forests and grasslands, to a larger extent for the aboveground C (aboveground net primary production), whereas it only caused a small or insignificant enhancement of SOC pool in both upland systems. Nitrogen addition had no significant effect on soil heterotrophic respiration (R_H) in both forests and grasslands, while a significant N-induced increase in soil CO₂ fluxes (R_S, soil respiration) was observed in grasslands. Nitrogen addition significantly stimulated soil N₂O fluxes in forests (76%), to a larger extent in grasslands (87%), but showed a consistent trend to decrease soil uptake of CH₄, suggesting a declined sink capacity of forests and grasslands for atmospheric CH₄ under N enrichment. Overall, the net GHG balance estimated by the net ecosystem production-based method (forest, 1.28 Pg CO₂-eq year⁻¹ vs. grassland, 0.58 Pg CO₂-eq year⁻¹) was greater than those estimated using the SOC-based method (forest, 0.32 Pg CO₂-eq year⁻¹ vs. grassland, 0.18 Pg CO₂-eq year⁻¹) caused by N addition. Our findings revealed that the enhanced soil C sequestration by N addition in global forests and grasslands could be only marginally offset (1.5%–4.8%) by the combined effects of its stimulation of N₂O emissions together with the reduced soil uptake of CH₄.     

气候因子通过土壤微生物生物量氮促进青藏高原高寒草地地上生态系统功能

近年来, 在人类活动和气候变化的影响下, 物种多样性丧失趋势不断加剧, 对生态系统功能带来严重后果。目前, 关于生态系统功能的研究, 忽略了土壤和微生物碳氮养分循环过程对地上生态系统功能(AEF)的重要驱动作用, 而土壤碳氮要素和微生物的任何变化都有可能改变地下群落对生态系统功能的维持作用。该研究旨在探究高寒草地AEF的主要控制因子, 以及其关键要素对AEF的作用机理。2015年7-8月, 对青藏高原地区115个样点进行了草地群落和土壤属性等要素样带调查; 综合植物地上生物量, 叶片碳、氮和磷含量等参数计算AEF值, 分析地下土壤有机碳含量、全氮含量、生物量等关键要素对AEF值的影响。结合取样点年降水量和年平均气温, 深入探讨影响AEF的主要控制因子和作用机理。结果表明降水对AEF有较大影响, 而气温影响相对较低。年降水量、土壤微生物生物量碳含量和干旱指数对AEF值的相对重要性贡献较高(重要值分别为21.1%、10.9%和10.1%), 控制青藏高原高寒草地AEF值的关键是土壤因子。在气候因子对土壤养分和微生物的作用下, 土壤微生物生物量氮含量在调控高寒草地AEF值方面发挥重要作用。     

增温和放牧对草地土壤和生态系统呼吸的影响

草地生态系统作为世界陆地生态系统的主体类型,其土壤呼吸和生态系统呼吸是陆地生态系统碳循环的重要组成部分,土壤呼吸是未经扰动的土壤由于代谢活动而产生CO2的过程,生态系统呼吸包括地下部分的土壤呼吸和地上部分植被的自养呼吸。研究增温和放牧对草地土壤和生态系统呼吸的影响,可为预测未来气候变化条件下的全球碳收支以及草地的可持续经营与管理提供重要的科学依据。该文扼要综述了关于草地土壤和生态系统呼吸对增温和放牧的响应方面的研究。结果表明:草地土壤和生态系统呼吸对增温和放牧的响应非常复杂,受多种因素的综合影响,无论是增温还是放牧对草地土壤和生态系统呼吸的影响均具有不确定性,因草地类型、增温幅度、增温时间、放牧强度、放牧频度和放牧方式的不同而不同。在此基础上,指出了以后应加强研究的方向,草地的利用离不开放牧,对于未来气候变化条件下的草地,温度升高和放牧这两个因素必然是同时存在的,以前多数实验是单独研究增温或放牧对它们的影响,然而,这两者对草地生态系统的影响并非可加的,因此,需要加强增温与放牧的耦合试验,同时加强关于生态系统呼吸不同组分对两者的响应的研究,以便更好地理解增温和放牧的影响机制。另外,草地土壤和生态系统呼吸对增温和放牧的响应会随着时间的推移而发生变化,因而加强长期连续的试验观测很有必要。     

高寒矮嵩草草甸冬季CO2释放特征

冬季碳排放在高寒草地年内碳平衡中占有重要位置。为探讨高寒草地冬季碳排放特征及温度敏感性,于2003-2005年在中国科学院海北高寒草甸生态系统研究站,利用密闭箱-气相色谱法连续观测了高寒矮嵩草草甸2个冬季的生态系统、土壤呼吸通量特征。结果表明:1)高寒矮嵩草草甸冬季生态系统呼吸、土壤呼吸均具有明显的日变化和季节变化规律,温度是其主要的控制因子,能够解释44%以上的呼吸速率变异。2)冬季生态系统呼吸与土壤呼吸速率在统计上没有显著差异,土壤呼吸占生态系统呼吸的比例高达85%以上。3)2003-2004年冬季生态系统呼吸、土壤呼吸的Q₁₀值分别为1.53,1.38;2004-2005年冬季生态系统呼吸与土壤呼吸的Q₁₀值为1.86,1.68,2个冬季生态系统呼吸的Q₁₀值均高于土壤呼吸。4)未发现高寒矮嵩草草甸冷冬年份的Q₁₀值高于暖冬年份以及冬季的Q₁₀值高于生长季。     

Ectomycorrhizal fungi slow soil carbon cycling

Respiration of soil organic carbon is one of the largest fluxes of CO₂ on earth. Understanding the processes that regulate soil respiration is critical for predicting future climate. Recent work has suggested that soil carbon respiration may be reduced by competition for nitrogen between symbiotic ectomycorrhizal fungi that associate with plant roots and free‐living microbial decomposers, which is consistent with increased soil carbon storage in ectomycorrhizal ecosystems globally. However, experimental tests of the mycorrhizal competition hypothesis are lacking. Here we show that ectomycorrhizal roots and hyphae decrease soil carbon respiration rates by up to 67% under field conditions in two separate field exclusion experiments, and this likely occurs via competition for soil nitrogen, an effect larger than 2 °C soil warming. These findings support mycorrhizal competition for nitrogen as an independent driver of soil carbon balance and demonstrate the need to understand microbial community interactions to predict ecosystem feedbacks to global climate.