白洋淀芦苇湿地生态系统中植硅体的产生和积累研究

植硅体(phytoliths),又称植物蛋白石,存在于大部分植物组织细胞中,主要是依靠植物的根系吸取土壤溶液中的可溶性二氧化硅,在植物细胞或细胞内沉淀硅化而形成的一种固体的非晶质含水二氧化硅颗粒物[1].植硅体主要组成部分是二氧化硅(67％～95％)、水(1％～12％)、碳(0.1％～6％)及少量的无机元素Na、K、 Ca、 Fe、 AL、 Ti等[2],由于其具有较强的抗分解、抗腐蚀和耐高温等特性,可以长时间较稳定地保存在一些岩石和土壤中[3-5],在硅的生物地球化学循环中有着重要的作用,是全球硅循环的重要参与者[6].虽然植硅体作为生物硅的重要组成部分,在全球硅的生物地球化学循环中占据着重要地位,但在湿地生态系统中植硅体产生和积累研究则鲜见报道[7].     

采伐对小兴安岭森林沼泽甲烷通量的影响

采伐干扰是森林湿地遭受的主要干扰类型之一。采伐引起的温度和水位条件的改变,会导致森林湿地甲烷通量发生变化。本文选择小兴安岭3种森林沼泽湿地为研究对象,利用静态暗箱-气相色谱法观测它们在择伐和皆伐干扰下甲烷通量的变化,探讨采伐对天然森林沼泽甲烷通量的影响及其影响机制。结果表明:采伐前3种森林沼泽都为大气甲烷的汇(-0.19～-1.85mgm-2d-1),择伐和皆伐都导致3个类型的森林沼泽作为大气甲烷汇的功能降低(-0.22～-1.29mgm-2d-1),或者由大气甲烷的汇转变为甲烷的源(0.50～157.37mgm-2d-1)。温度和水位的共同作用导致采伐后森林沼泽甲烷通量的变化。为减少甲烷气体的排放,在有必要对森林沼泽的树木资源进行利用时,采伐方式应该尽量避免皆伐,只能进行适当的择伐。     

Diurnal and seasonal variations in CH4 flux from termite mounds in tropical savannas of the Northern Territory, Australia

Termites are estimated to contribute between <5 and 19% of the global methane (CH₄) emissions. These estimates have large uncertainties because of the limited number of field-based studies and species studied, as well as issues of diurnal and seasonal variations. We measured CH₄ fluxes from four common mound-building termite species (Microcerotermes nervosus, M. serratus, Tumulitermes pastinator and Amitermes darwini) diurnally and seasonally in tropical savannas in the Northern Territory, Australia. Our results showed that there were significant diel and seasonal variations of CH₄ emissions from termite mounds and we observed large species specific differences. On a diurnal basis, CH₄ fluxes were least at the coolest time of the day (∼07.00 h) and greatest at the warmest (∼15.00 h) for all species for both wet and dry seasons. We observed a strong and significant positive correlation between CH₄ flux and mound temperature for all species. A mound excavation experiment demonstrated that the positive temperature effect on CH₄ emissions was not related to termite movement in and out of a mound but probably a direct effect of temperature on methanogenesis in the termite gut. Fluxes in the wet season were 5-26-fold greater than those in the dry season. A multiple stepwise regression model including mound temperature and mound water content described 70-99% of the seasonal variations in CH₄ fluxes for different species. CH₄ fluxes from M. nervosus, which was the most abundant mound-building termite species at our sites, had significantly lower fluxes than the other three species measured. Our data demonstrate that CH₄ flux estimates could result in large under- or over-estimation of CH₄ emissions from termites if the diurnal, seasonal and species specific variations are not accounted for, especially when flux data are extrapolated to landscape scales.     

Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling

We describe an approach for evaluating the representativeness of eddy covariance flux measurements and assessing sensor location bias (SLB) based on footprint modelling and remote sensing. This approach was applied to the 12 main sites of the Fluxnet-Canada Research Network (FCRN)/Canadian Carbon Program (CCP) located along an east-west continental-scale transect, covering grassland, forest, and wetland biomes. For each site, monthly and annual footprint climatologies (i.e. monthly or annual cumulative footprints) were calculated using the Simple Analytical Footprint model on Eulerian coordinates (SAFE). The resulting footprint climatologies were then overlaid on to images of the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) derived from LANDSAT Thematic Mapper (TM) imagery, which were used as surrogates of land surface fluxes to estimate SLB. Results indicate that (i) the sizes of annual footprint climatology increased exponentially with increasing cumulative footprint percentages and, for a given percentage of footprint climatology, the footprint areas were significantly different among the sites. Typically, the 90% annual footprint climatology areas varied from 1.1 km² to 5.0 km²; (ii) using either NDVI or EVI as the flux surrogate, the SLB was less than 5% for most sites with respect to the reference area of interest (A_r) at 90% annual footprint climatology (scenario A) and a circular area with radius of 1 km centred at the individual tower (scenario B), with several exceptions; (iii) the SLB decreased with increasing size of footprint climatology for all sites for both scenarios A and B; (iv) out of 12, eight flux towers represented most of the ecosystem surrounding the towers for an area of 0.3 km² up to 10 km² with a satisfactorily low bias of <5%, whereas four towers represented areas ranging from only 0.75 to 4 km²; and (v) the seasonal differences in monthly SLB using NDVI as a flux surrogate were about 1-4% for most sites for both scenarios A and B.     

Applying a Lagrangian dispersion analysis to infer carbon dioxide and latent heat fluxes in a corn canopy

Warland and Thurtell (2000) proposed an analytical dispersion Lagrangian analysis (hereafter WT analysis) to relate the mean scalar concentration field to source profiles inside the canopy. The first objective of this study was to evaluate the performance of the WT analysis with existing turbulence statistics parameterizations in a corn canopy, by comparing its inferred net ecosystem CO₂ exchange (NEE) and latent heat flux (λE) with eddy covariance measurements. The second objective was to assess the performance of the WT analysis to infer the soil CO₂ flux. Four parameterizations of turbulence statistics were used to estimate Lagrangian time scale (T_L) and standard deviation of vertical wind velocity (σ_w) profiles. The estimated T_L and σ_w profiles were then corrected for atmospheric stability conditions. The field experiment was carried out in a corn field from August to October 2007 and 2008. Profiles of water vapour and CO₂ mixing ratios were measured using a multiport sampling system connected to an infrared gas analyzer. Wind velocity within and above the canopy and eddy covariance measurements over the canopy were taken. The soil respiration, estimated using the WT analysis, was compared to estimates obtained by an empirical model. WT analysis fluxes showed good correlation (R² = 0.77-0.88) with NEE and λE obtained by the eddy covariance technique, but overestimated net fluxes, especially when corrections for atmospheric stability were applied. The optimization of T_L and σ_w profiles using in-canopy turbulence measurements improved the agreement between measured and modeled NEE and λE. Inferred soil CO₂ fluxes were underestimated and were poorly correlated (R² = 0.02-0.01) with estimates obtained using an empirical model based on soil temperature. This poor performance in estimating the soil respiration is likely caused by the decoupling between inside and above canopy flows.     

Soil carbon dioxide flux, carbon sequestration and crop productivity in a tropical dryland agroecosystem: Influence of organic inputs of varying resource quality

In view of the significance of agricultural soils in affecting global C balance, the impact of manipulation of the quality of exogenous inputs on soil CO₂–C flux was studied in rice–barley annual rotation tropical dryland agroecosystem. Chemical fertilizer, Sesbania shoot (high quality resources), wheat straw (low quality resource) and Sesbania + wheat straw (high + low quality), all carrying equivalent recommended dose of N, were added to soil. A distinct seasonal variation in CO₂–C flux was recorded in all treatments, flux being higher during rice period, and much reduced during barley and summer fallow periods. During rice period the mean CO₂–C flux was greater in wheat straw (161% increase over control) and Sesbania + wheat straw (+129%) treatments; however, during barley and summer fallow periods differences among treatments were small. CO₂–C flux was more influenced by seasonal variations in water-filled pore space compared to soil temperature. In contrast, the role of microbial biomass and live crop roots in regulating soil CO₂–C flux was highly limited. Wheat straw input showed smaller microbial biomass with a tendency of rapid turnover rate resulting in highest cumulative CO₂–C flux. The Sesbania input exhibited larger microbial biomass with slower turnover rate, leading to lower cumulative CO₂–C flux. Addition of Sesbania to wheat straw showed higher cumulative CO₂–C flux yet supported highest microbial biomass with lowest turnover rate indicating stabilization of microbial biomass. Although single application of wheat straw or Sesbania showed comparable net change in soil C (18% and 15% relative to control, respectively) and crop productivity (32% and 38%), yet they differed significantly in soil C balance (374 and −3 g C m⁻² y⁻¹ respectively), a response influenced by the recalcitrant and labile nature of the inputs. Combining the two inputs resulted in significant increment in net change in soil C (33% over control) and crop yield (49%) in addition to high C balance (152 g C m⁻² y⁻¹). It is suggested that appropriate mixing of high and low quality inputs may contribute to improved crop productivity and soil fertility in terms of soil C sequestration.     

冬季秸秆还田对冬灌田水稻生长期CH4产生、氧化和排放的影响

有机肥施用和土壤水分管理是影响稻田CH4排放最重要的2个因素。本文通过室内培养和田间试验研究了冬季秸秆还田对冬灌田水稻生长期CH4的产生、氧化和排放的影响。结果表明:淹水混施处理CH4产生潜力在水稻移栽后35和51天显著大于淹水不施肥处理(p0.05),其余时间则无显著差异(p0.05);冬季秸秆还田对CH4氧化潜力无显著影响(p0.05),水稻生长期土温和稻田施用氮肥可能是较其更重要的影响因素;淹水混施处理CH4平均排放通量(CH426.7mg/(m2·h))显著大于淹水不施处理(CH420.3mg/(m2·h))(p0.05)。     

地表覆盖对土壤热参数变化的影响

覆盖条件下土壤热性质的研究对于包气带水热运移及覆盖技术的应用均有重要意义。使用11针热脉冲探头对沙黄土不同深度(6 mm、18 mm、30 mm)的土壤热扩散率、热容量和热导率三个热参数进行测定,并进行地表覆盖(石子覆盖、秸秆覆盖)处理,旨在探究覆盖条件下表层土壤热性质动态变化过程及土壤热参数与水分的内在联系。结果表明:(1)相对于裸土,石子和秸秆覆盖条件下土壤热参数增大,且覆盖对于靠近表层土壤热参数的影响更加明显;(2)随降雨的发生,土壤热参数均增大,在两次降雨期间,土壤热参数逐渐减小,覆盖与裸土热参数差异逐渐增大;(3)三个热参数随降雨的发生,其动态变化过程表现不同,热容量对降雨的响应最为敏感,热导率次之,热扩散率开始减小的时间较热导率和热容量滞后,三个深度滞后时间均在48 h以上,而且覆盖以后热扩散开始减小的时间较裸土推迟(48 h以上)。土壤容重不变的情况下,在频繁干湿交替的过程中土壤水分为土壤热参数变化的最主要影响因素。覆盖条件下土壤热参数与土壤含水量关系研究表明:石子和秸秆覆盖条件下土壤热参数与土壤含水量的变化关系与裸土条件下一致,热导率与含水量呈幂函数增加的趋势,热容量随含水量线性增加,热扩散率随含水量增加先增后减,本研究所用沙黄土热扩散率峰值对应的含水量在0.20 cm3cm-3左右。由以上结果可以发现覆盖对近表层土壤热参数的动态变化有显著的影响,覆盖的保水效应直接影响土壤热参数的变化。     

森林生态系统中初级生产者-分解者养分的关系

 森林生态系统中,初级生产者和分解者之间的养分关系,是一种既互利又竞争的复杂关系。通过构建初级生产者-分解者系统的养分流动模型,分析分解者增长受碳限制或受养分限制的判断标准。在假定整个系统封闭的前提下,讨论初级生产者与分解者实现共存并保持长久稳定的条件:一是分解者必须受碳限制,这要求分解者较之初级生产者对养分吸收具有更强的竞争力;二是矿化系数与碎屑化系数之比(a41/a23)要足够大于在初级生产者中的碳/养分与在分解者中的碳/养分之比(α/β)。这表明,从化学计量论的角度来看,生态系统的持续和稳定,对碳/养分之比和植物与微生物的竞争能力方面有严格的要求。