多层生物滤塔去除废气中硫化氢

为了解决填料及单层滤塔中压降大、效率低的问题,以单层玉米芯生物滤塔为对照,研究了多层生物滤塔对低浓度H2S气体的净化效果,其适宜的工艺条件和生物降解宏观动力学。结果表明：填料分层填充可提高废气中H2S去除率,当进气浓度低于140 mg/m3时,H2S的去除率90%以上;H2S进气容积负荷、去除率与填料层填充厚度有一定的相关性,负荷低于42.2 g/(m3·d),下层200 mm填料对H2S总去除率的贡献在95%以上;填料含水率为55%～70%,生物滤塔的微生物活性较高,净化效率高;试验条件下,采用Michaelis-Menten模型进行生物降解宏观动力学研究,其中半饱和常数为12.4 mg/m3,污染物最大去除速率为909 g/(m3·d)。试验表明：多层生物滤塔净化效果优于单层,其气流分布更均匀,停留时间延长,压降低,效率高;在适宜的工艺条件下运行3个月,对H2S净化效率均稳定在90%以上,为进一步研究及工程应用提供理论指导。     

曝气生物滤池对玉米青贮渗出液处理效果

为了考察曝气生物滤池(biological aerated filter,BAF)处理玉米青贮渗出液的效果及其影响因素,重点考察了水力负荷、气水比、有机负荷和滤床高度。结果表明:水力负荷从0.5m3/(m2.h)升高到3.0m3/(m2.h)过程中,化学需氧量(COD)和NH3-N的去除率先升高后降低,当水力负荷1.5m3/(m2.h)时COD和NH3-N的去除率分别达到最大为83.5%、74.9%;增加气水比使得系统中溶解氧充足,可明显提高COD和NH3-N去除率,当气水比为3.5:1时COD和NH3-N的去除率分别达到最大为87.5%、75.2%;低有机负荷不利于COD和NH3-N的去除,当有机负荷为COD2.4kg/(m3.d)时,COD和NH3-N去除率最低分别仅为49.6%、58.5%,有机负荷为COD4.8kg/(m3.d)时去除率最高分别可达80.9%和75.9%,但过高的有机负荷反而对NH3-N去除不利,当有机负荷为COD7.2kg/(m3.d)时,NH3-N去除率降低为61.7%;滤床高度对硝化反应去除NH3-N影响较大,NH3-N生物硝化反应去除行为主要发生在0.6～1.0m区域。试验表明采用BAF系统处理玉米青贮渗出液是可行的,也为类似性质废水处理和改善农村水环境质量提供有益的参考。     

生物炭强化生物滤池处理农村生活污水效果及碳排放

为研究生物炭对生物滤池强化作用及其在“双碳”背景下碳排放量与去除效果相结合的评估方法，以秸秆生物炭强化曝气生物滤池为研究对象，在中温环境（25～30 ℃）下，探究了生物炭强化生物滤池的挂膜启动时间、处理能力、稳定性以及日碳排放量。结果表明，滤池的挂膜时长为14 d；当水力负荷和进水流量分别为0.045m³/(m²·h)和0.9 m³/d时，系统的最佳进水水力停留时间为8 h，化学需氧量、氨氮、总氮和总磷的平均去除率分别为95.0%、79.1%、62.5%、78.4%；当水力停留时间和进水流量分别为8 h和1.2 m³/d，系统最佳的水力负荷为0.030 m³/(m²·h)，平均去除率分别为95.3%、87.4%、68.1%、79.0%； 在系统运行过程中，不同时期悬浮球与陶粒上胞外聚合物（extracellular polymeric substances，EPS）含量相比刚驯化污泥上EPS的含量都有所增加，表明了生物滤池在实际运行过程中比较稳定且污泥活性也比较好；在8 h的最佳水力停留时间以及进水流量0.9 m³/d的条件下，曝气生物滤池使污水达标排放的碳排放量为9.08 kg/d，因此采用生物炭强化曝气生物滤池处理农村生活污水具有较高的应用前景。     

间歇式双循环工厂化养殖系统构建及其养殖效果

为改善工厂化循环水养殖系统水质净化效果,提高养殖密度和成活率,构建了间歇式双循环工厂化养殖系统。通过间歇运行生物膜反应器增加水力停留时间,充分降解含氮污染物;连续运行弧形筛及时去除固体颗粒物。考察了该系统的启动过程及石斑鱼高密度养殖效果。启动初期,将硝化型生物絮团与海绵填料混合培养,生物膜22 d即可挂膜成功。以30.03 kg/m~3为初始养殖密度开展石斑鱼养殖试验,经66 d养殖,石斑鱼平均质量从(273.00±12.22)增至(552.52±107.04) g,最终养殖密度达到60.78 kg/m~3,成活率为100%。养殖过程中,生物膜逐渐适应养殖环境,氨氮、亚硝酸盐氮去除率从13.33%、14.84%增至93.73%、93.50%。此外,在弧形筛进水槽增加曝气形成曝气式弧形筛,可进一步除去细小颗粒物,有效控制养殖水体浊度。     

畜禽养殖舍生物土壤滤体除臭装置

为研究土壤生物滤体除臭装置对于畜禽养殖场散发出的恶臭气体的去除效果,该文概述了生物土壤滤体除臭装置性能指标、结构和工作原理。确定了关键部件结构参数和运行参数,并通过在气体分布基质层中增加布气网管方式提高臭气滤除效果。采用的活性土壤滤层配方为:草腐土75%,珍珠岩20%,黑炭5%,滤层高度1000mm,滤料表面负荷15.5～22.0m3/(m2.h),滤料湿度控制范围(52±3)%。试验结果表明,主要恶臭物质NH3、CH4和CO2去除率大于95%;CO和氮氧化物(以NO2计)去除率大于85%,与畜禽臭气共同扩散的总挥发性有机物(TVOC)、可吸入颗粒物(PM10)和总悬浮物(TSP)去除率大于95%,系统排出气体的臭气浓度分别为7.5～8.0,符合达标排放要求。     

分隔式循环水池塘养殖系统设计与试验

为了解决池塘养殖设施化程度低、净化能力不足和排污效果差等问题,设计了分隔式循环水池塘养殖系统。该系统由20%水面的吃食性鱼类养殖区和80%水面的滤杂食性鱼类养殖区构成,配置过水堰、螺旋桨式和水车式推流装置、集污和吸污装置等养殖系统设施和装备。性能测试结果表明:螺旋桨式推流装置提水动力效率为340 m~3/(k W·h),流量为204 m~3/h,空载噪音为60 d B;水车式推流装置提水动力效率为360 m~3/(k W·h),流量为180 m~3/h,空载噪音为67 d B;过水堰过水的总流量约为331 m~3/h,利用水循环装备实现水体流动可实现水体日交换量7 900 m~3,达到养殖池塘水体的50%左右。利用推流装置搅动水体,可实现水体大范围的对流,交替暴晒水体,增加水体中的溶解氧,试验池塘中下层溶解氧水平比对照塘高出59.5%,试验池塘叶绿素a浓度比对照塘低,说明一定程度上限制了浮游植物过渡繁殖。该养殖系统可为池塘健康养殖系统模式构建提供参考。     

以聚丁二酸丁二醇酯为碳源去除含盐水体硝酸盐及其动力学模型

以固体碳源反硝化工艺应用于闭合循环养殖废水的脱氮提供理论和技术参数为目的,研究了以一种非水溶性可生物降解多聚物材料（BDPs）聚丁二酸丁二醇酯（PBS）作为反硝化碳源和生物膜载体的填料床反应器对含盐水体硝酸盐的去除效果及动力学特征。结果表明：水力停留时间对NO3--N去除效果影响较大,NO3--N去除率随水力停留时间延长而提高。在温度为(29±1)℃,进水NO3--N质量浓度为25～236 mg/L的条件下,进水NO3--N负荷低于0.32 kg/(m3·d)时,NO3--N体积去除负荷随进水NO3--N负荷的增加呈线性上升;进水NO3--N负荷为0.32 kg/(m3·d)时达到最大NO3--N体积去除负荷为0.21 kg/(m3·d);进一步提高进水NO3--N负荷则NO3--N体积去除负荷开始下降且出水中出现NO2--N积累。动力学研究结果表明以PBS为碳源和生物膜载体的反硝化速率遵循一级反应动力学。用Eckenfelder模型拟合,求出反应速度常数K值和常数n值且相关性良好。采用该动力学模型参数可以预测出水NO3--N浓度并用于实际闭合循环养殖系统的工程设计和优化运行。     

双污泥反硝化除磷系统中氨氮容积负荷的优化

农村生活污水具有处理量小,分散,日变化系数大等特点,分散处理成为农村污水处理的首要选择。该研究采用AAO工艺与BAF组成的双污泥反硝化除磷系统（anaerobic anoxic oxic-biological aerated filter,AAO-BAF）处理农村生活污水,探讨了氨氮容积负荷对该系统BAF单元硝化性能及出水悬浮物（SS）的影响。通过改变水力负荷和有效滤料容积（即方式1和方式）2种方式,氨氮容积负荷在0.43～1.21 kg/(m3·d)之间变化。试验结果表明,随着氨氮容积负荷的增加,氨氮去除率呈现先缓慢降低后急剧减小的趋势,不同的是,出水SS对方式1（即水力负荷的变化）更敏感。当氨氮容积负荷在0.43～1.12 kg/(m3·d)时,氨氮去除率大于81%;当氨氮容积负荷大于1.12 kg/(m3·d),氨氮去除率急剧降低,氨氮容积负荷为1.21 kg/(m3·d),2种运行方式的氨氮去除率分别为65%和68%。当氨氮容积负荷小于0.74 kg/(m3·d)时,出水SS小于10 mg/L;当氨氮容积负荷大于0.74 kg/(m3·d)时,出水SS急剧增加,但方式1增加得更快,氨氮容积负荷增加到1.21 kg/(m3·d)时,方式1和方式2的出水SS分别为21.8和14.2 mg/L。所以,为保证BAF出水水质达到国家一级A排放标准,其氨氮容积负荷应小于0.74 kg/(m3·d)。     

复式潜流湿地净化生活污水的试验研究

研究了新型复式潜流人工湿地对生活污水的净化效果。在不同水力负荷、季节、曝气方式等条件下经过小试试验,分析了该湿地对污染物净化效果的影响。结果表明,该系统出水水质稳定,达到《城镇污水处理厂污染物排放标准》(GB 18918—2002)的一级A标准。在水力负荷184 mm·d-1条件下COD、NH3-N去除率最大分别可达87.2%、68.9%。冬季低温条件下对各类污染物去除率仍大于20%。正交试验分析得知,最佳运行条件是气温28.6℃、水力负荷0.184 m3·m-2·d-1、水力停留时间2.4 d。对比试验表明,采用预曝气方式对湿地净化效果明显优于厌氧处理。     

高效除氨氮异养硝化细菌的分离鉴定及其脱氮条件优化

为去除畜禽粪便好养堆肥过程中产生的氨气,筛选具有高效除氮功能的微生物,该文通过摇瓶连续富集驯化,从垃圾渗滤液处理厂的活性污泥中筛选到1株高效除氨氮菌株Z53,通过形态特征及16Sr RNA基因序列鉴定,确定其为脱氮副球菌(Paracoccus denitrificans),并通过正交试验对其脱氮条件进行优化。试验表明该菌株最适碳源为丁二酸钠,最佳C/N为15;最佳氨氮去除条件为摇床转速160 r/min、250 mL三角瓶装液量为40 mL、温度30℃、pH值为7.0。在此条件下接种1%的菌液,该菌株在11h内将(191.4±0.7)mg/L的氨氮完全去除,平均去除速率为17.4mg/(L·h)。通过氮素形态测定显示该菌株不仅具有异养硝化作用,可将氨态氮氧化为硝态氮,且无亚硝态氮积累;还具有反硝化作用,在好氧条件下消耗硝态氮生成亚硝态氮,硝氮平均去除率为16.8mg/(L·h),在厌氧条件下反硝化作用产生N2,硝氮平均去除率为9.8 mg/(L·h)。该研究体现了菌株Z53有望用于堆肥厂中的生物滴滤装置并高效去除氨氮,从而达到降低氨气污染的目的,具有良好的开发应用前景。     

Chromosome numbers and ploidy levels of<Emphasis Type="Italic"> Paspalum</Emphasis> species from subtropical South America (Poaceae)

Somatic chromosome numbers of 131 accessions belonging to 55 Paspalum species from subtropical South America have been determined. All species had x = 10 as a basic chromosome number, except P. almum which had x = 6. Six ploidy levels were found among species with tetraploidy as the most frequent condition. New diploid and octoploid counts were reported. For Paspalum lilloi and P. glabrinode (both 2n = 2x = 20), and for P. ellipticum, P. erianthoides, P. ovale and P. remotum (all 2n = 8x = 80) sporophytic chromosome numbers are presented for the first time. Records that differ from previously reported counts are given for the following species: P. paucifolium (2n = 2x = 20), P. ceresia (2n = 6x = 60), P. conjugatum (2n = 6x = 60), P. alcalinum (2n = 6x = 60) and P. aff. arundinellum (2n + 1 = 5x + 1 = 51). These chromosome data are discussed in light of ploidy-level variation and implications for breeding systems within and among species.     

Soil water conservation and yield of winter sorghum (Sorghum bicolor L. Moench) as influenced by tillage, organic materials and nitrogen fertilizer in semi-arid tropical India

Soil water and nutrients play an important role in increasing sorghum (Sorghum bicolor L. Moench) yields in the Vertisols of semi-arid tropics during post-rainy season. The effects of tillage practices, organic materials and nitrogen fertilizer on soil properties, water conservation and yield of sorghum were evaluated during winter seasons of 1994–1995 and 1995–1996 on deep Vertisols at Bijapur in the semi-arid tropics of Karnataka State (Zone 3) of south India. Conservation and availability of water and nutrients during different stages of crop growth were increased by deeper tillage resulting in increased grain yield of winter sorghum. Medium and deep tillage increased the grain yield by 23% (1509 kg ha⁻¹) and 57% (1919 kg ha⁻¹) during 1994–1995 and 14% (1562 kg ha⁻¹) and 34% (1835 kg ha⁻¹) during 1995–1996, respectively, over shallow tillage. Water use efficiency increased from shallow (4.90 kg ha⁻¹ mm⁻¹) to deep tillage (7.30 kg ha⁻¹ mm⁻¹). Greater water use efficiency during 1994–1995 as compared to 1995–1996 was attributed to lower consumptive use of water during 1994–1995. Among organic materials, application of Leucaena loppings conserved larger amounts of water and increased winter sorghum yield and water use efficiency. Application of Leucaena loppings increased the winter sorghum grain yield by 9% (mean of 1994–1995 and 1995–1996) as compared to vermicompost. Significantly (P < 0.05) higher water use efficiency of 6.32 kg ha⁻¹ mm⁻¹ was observed in Leucaena loppings incorporated plots compared to 5.72 kg ha⁻¹ mm⁻¹ from vermicompost. Grain yield increased by 245 kg ha⁻¹ with application of 25 kg N ha⁻¹ in 1994–1995, and a further increase in N application to 50 kg ha⁻¹ increased the grain yield by about 349 kg ha⁻¹ in 1995–1996. Deep tillage with application of 25 kg N ha⁻¹ resulted in significantly higher sorghum yield (2047 kg ha⁻¹) than control during 1994–1995. Deep tillage with integrated nutrient management (organic and inorganic N sources) conserved higher amount of soil water and resulted in increased sorghum yields especially during drought years.     

Nitrate leaching in soil: Tracing the NO3 sources with the help of stable N and O isotopes

Legumes increase the plant-available N pool in soil, but might also increase NO₃⁻ leaching to groundwater. To minimize NO₃⁻ leaching, N-release processes and the contribution of legumes to NO₃⁻ concentrations in soil must be known. Our objectives were (1) to quantify NO₃⁻-N export to >0.3 m soil depth from three legume monocultures (Medicago x varia Martyn, Onobrychis viciifolia Scop., Lathyrus pratensis L.) and from three bare ground plots. Furthermore, we (2) tested if it is possible to apply a mixing model for NO₃⁻ in soil solution based on its dual isotope signals, and (3) estimated the contribution of legume mineralization to NO₃⁻ concentrations in soil solution under field conditions. We collected rainfall and soil solution at 0.3 m soil depth during 1 year, and determined NO₃⁻ concentrations and δ¹⁵N and δ¹⁸O of NO₃⁻ for >11.5 mg NO₃⁻-N l⁻¹. We incubated soil samples to assess potential N release by mineralization and determined δ¹⁵N and δ¹⁸O signals of NO₃⁻ derived from mineralization of non-leguminous and leguminous organic matter.Mean annual N export to >0.3 m soil depth was highest in bare ground plots (9.7 g NO₃⁻-N m⁻²; the SD reflects the spatial variation) followed by Medicago x varia monoculture (6.0 g NO₃⁻-N m⁻²). The O. viciifolia and L. pratensis monocultures had a much lower mean annual N export (0.5 and 0.3 g NO₃⁻-N m⁻²). The averaged NO₃⁻-N leaching during 70 days was not significantly different between field estimates and incubation for the Medicago x varia Martyn monoculture.The δ¹⁵N and δ¹⁸O values in NO₃⁻ of rainfall (δ¹⁵N: 3.3±0.8‰; δ¹⁸O: 30.8±4.7‰), mineralization of non-leguminous SOM (9.3±0.9‰; 6.7±0.8‰), and mineralization of leguminous SOM (1.5±0.6‰; 5.1±0.9‰) were markedly different. Applying a linear mixing model based on these three sources to δ¹⁵N and δ¹⁸O values in NO₃⁻ of soil solution during winter 2003, we calculated 18-41% to originate from rainfall, 38-57% from mineralization of non-leguminous SOM, and 18-40% from mineralization of leguminous SOM.Our results demonstrate that (1) even under legumes NO₃⁻-N leaching was reduced compared to bare ground, (2) the application of a three-end-member mixing model for NO₃⁻ based on its dual isotope signals produced plausible results and suggests that under particular circumstances such models can be used to estimate the contributions of different NO₃⁻ sources in soil solution, and (3) in the 2nd year after establishment of legumes, they contributed approximately one-fourth to NO₃⁻-N loss.     

Influence of temperature and drought on seasonal and interannual variations of soil, bole and ecosystem respiration in a boreal aspen stand

Continuous half-hourly measurements of soil (R_s) and bole respiration (R_b), as well as whole-ecosystem CO₂ exchange, were made with a non steady-state automated chamber system and with the eddy covariance (EC) technique, respectively, in a mature trembling aspen stand between January 2001 and December 2003. Our main objective was to investigate the influence of long-term variations of environmental and biological variables on component-specific and whole-ecosystem respiration (R_e) processes. During the study period, the stand was exposed to severe drought conditions that affected much of the western plains of North America. Over the 3 years, daily mean R_s varied from a minimum of 0.1 μmol m⁻² s⁻¹ during winter to a maximum of 9.2 μmol m⁻² s⁻¹ in mid-summer. Seasonal variations of R_s were highly correlated with variations of soil temperature (T_s) and water content (θ) in the surface soil layers. Both variables explained 96, 95 and 90% of the variance in daily mean R_s from 2001 to 2003. Aspen daily mean R_b varied from negligible during winter to a maximum of 2.5 μmol m⁻² bark s⁻¹ (2.2 μmol m⁻² ground s⁻¹) during the growing season. Maximum R_b occurred at the end of the aspen radial growth increment and leaf emergence period during each year. This was 2 months before the peak in bole temperature (T_b) in 2001 and 2003. Nonetheless, R_b was highly correlated with T_b and this variable explained 77, 87 and 62% of the variance in R_b in the respective years. Partitioning of R_b between its maintenance (R_bm) and growth (R_bg) components using the mature tissue method showed that daily mean R_bg occurred at the same time as aspen radial growth increment during each growing season. This method led, however, to systematic over- and underestimations of R_bm and R_bg, respectively, during each year. Annual totals of R_s, R_b and estimated foliage respiration (R_f) from hazelnut and aspen trees were, on average, 829, 159 and 202 g C m⁻² year⁻¹, respectively, over the 3 years. These totals corresponded to 70, 14 and 16%, respectively, of scaled-up respiration estimates of R_e from chamber measurements. Scaled R_e estimates were 25% higher (1190 g C m⁻² year⁻¹) than the annual totals of R_e obtained from EC (949 g C m⁻² year⁻¹). The independent effects of temperature and drought on annual totals of R_e and its components were difficult to separate because the two variables co-varied during the 3 years. However, recalculation of annual totals of R_s to remove the limitations imposed by low θ, suggests that drought played a more important role than temperature in explaining interannual variations of R_s and R_e.     

Chemical composition, or quality, of agroforestry residues influences N2O emissions after their addition to soil

Emissions of N₂O were measured following addition of ¹⁵N-labelled (2.6-4.7 atom% excess ¹⁵N) agroforestry residues (Sesbania sesban, mixed Sesbania/Macroptilium atropurpureum, Crotalaria grahamiana and Calliandra calothyrsus) to a Kenyan oxisol at a rate of 100 mg N kg soil⁻¹ under controlled environment conditions. Emissions were increased following addition of residues, with 22.6 mg N m⁻² (124.4 mg N m⁻² kg biomass⁻¹; 1.1 mg ¹⁵N m⁻²; 1.03% of ¹⁵N applied) emitted as N₂O over 29 d after addition of both Sesbania and Macroptilium residues in the mixed treatment. Fluxes of N₂O were positively correlated with CO₂ fluxes, and N₂O emissions and available soil N were negatively correlated with residue lignin content (r=−0.49;P<0.05), polyphenol content (r=−0.94;P<0.05), protein binding capacity (r=−0.92;P<0.05) and with (lignin+polyphenol)-to-N ratio (r=−0.55;P<0.05). Lower emission (13.6 mg N m⁻² over 29 d; 94.5 mg N m⁻² kg biomass⁻¹; 0.6 mg ¹⁵N m⁻²; 0.29% of ¹⁵N applied) after addition of Calliandra residue was attributed to the high polyphenol content (7.4%) and high polyphenol protein binding capacity (383 μg BSA mg plant⁻¹) of this residue binding to plant protein and reducing its availability for microbial attack, despite the residue having a N content of 2.9%. Our results indicate that residue chemical composition, or quality, needs to be considered when proposing mitigation strategies to reduce N₂O emissions from systems relying on incorporation of plant biomass, e.g. improved-fallow agroforestry systems, and that this consideration should extend beyond the C-to-N ratio of the residue to include polyphenol content and their protein binding capacity.     

Effects of woody debris, microtopography, and organic matter amendments on the biotic community of constructed depressional wetlands

To increase wetland acreage and biodiversity, Delaware agencies constructed >220 depressional wetlands. During construction, agencies included amendments thought to increase biodiversity. Because the efficacy of amendments is unknown, we investigated their effects on macroinvertebrate and vegetative communities. We selected 20 standardized wetlands (five contained coarse woody debris (CWD) and microtopography amendments (land surface ridges and furrows), five had neither, five had CWD only, and five had microtopography only). Additionally, 12 wetlands had received organic matter amendments (i.e., straw). Insect richness (P = 0.010; r² = 0.16), insect biomass (P = 0.023; r² = 0.13), intolerant insect biomass (P = 0.033, r² = 0.03), Ephemeroptera biomass (P = 0.027; r² = 0.12), and Odonata biomass (P = 0.046; r² = 0.10) increased with CWD volume. Obligate plant percent cover increased with microtopographic variation (P = 0.029; r² = 0.120). Although organic matter amendments did not increase percent soil organic matter (t_13.7 = −1.16, P = 0.264), total (P = 0.027; r² = 0.12), native (P = 0.036; r² = 0.11), and facultative (P = 0.001; r² = 0.24) plant richness increased with percent soil organic matter. To enhance biodiversity, constructed wetlands should contain CWD, but additional research is needed to understand the benefits of microtopography and organic matter amendments.     

Incorporation of spectral data into multivariate geostatistical models to map soil phosphorus variability in a Florida wetland

Hybrid geostatistical prediction methods incorporate (i) spatially-explicit soil observations and exhaustive grids of ancillary environmental variables (e.g. derived from remote sensing), (ii) spatial autocorrelation, (iii) spatial covariation, and/or (iv) combinations of the above. In numerous studies of terrestrial soils it has been shown that hybrid geostatistical methods outperform univariate spatial and regression (aspatial) methods. However, hybrid methods have rarely been employed to predict soil properties in wetlands. In this study we used spectral data and derived indices from two remote sensors (Landsat ETM+ and ASTER), with different spatial resolutions, from different seasons, but with similar spectral range, ancillary environmental data, as well as floc and soil total phosphorus (TP) observations from 111 sites. The specific objective of our study was to evaluate the performance of aspatial methods (multivariate regressions — REG), univariate spatial (Ordinary Kriging — OK) and hybrid/multivariate geostatistical methods (Regression Kriging — RK and Co-kriging — CK) in predicting the spatial variability and distribution of floc and soil TP in a subtropical wetland, WCA-2A, in the Florida Everglades. Measured floc TP ranged from 194 to 1865 mg kg^− 1 with a median of 751 mg kg^− 1 and standard deviation (SD) of 381 mg kg^− 1. According to cross-validation, predictions for floc TP based on the root mean square prediction error (RMSE) were best in the following order: RK_quadratic (134.9) > RK_multivariate (201.1) > OK (206.1) > CK (212.1) > REG_multivariate (218.3) > REG_quadratic (220.3) > REG_linear (264.4); and based on the mean prediction error (ME) followed the order RK_multivariate (0.9)  RK_quadratic (1.1) > CK (− 6.7) > REG_multivariate (18.2) > REG_linear (25.1) > OK (− 27.3) > REG_quadratic (27.3). The Normalized Difference Vegetation Index (NDVI)-green derived from Landsat ETM+ showed the largest predictive power for floc TP. Measured soil TP ranged from 155 to 1702 mg kg^− 1 with a median of 433 mg kg^− 1 and standard deviation of 316 mg kg^− 1. Predictions for soil TP based on RMSE were best in the following order: RK_ASTER (200.1) > CK_ASTER (238.2)  CK_ETM (239.0) > OK (258.0) > RK_ETM (279.2) > REG_ASTER (281.8) > REG_ETM (356.1); and based on ME followed the order: CK_ASTER (0.1)  CK_ETM (0.2) > RK_ASTER (− 5.2) > RK_ETM (− 31.5) > OK (− 41.8) > REG_ASTER (94.4) > REG_ETM (133.7). The NDVI showed the largest predictive power for soil TP. This comparative study in a subtropical wetland demonstrated the benefits of incorporating remote sensing data into floc and soil TP prediction models. Overall, hybrid geostatistical methods (CK and RK) performed better than regressions and spatial univariate models (OK) in the prediction of floc and soil TP. Depending on the strength of the spatial covariance between primary and secondary variables (CK) and the ability of the regression model in RK to explain the variability of a target variable (e.g., floc or soil TP), either CK or RK performed best. Our findings in this wetland confirmed results from earlier studies on terrestrial soils indicating the superior performance of hybrid geostatistical methods in predicting soil properties.     

Quantifying the contribution of soil organic matter turnover to forest soil respiration, using natural abundance δC

Quantifying the loss of soil carbon through respiration has proved difficult, due to the challenge of measuring the losses associated with the turnover of soil organic matter (SOM) as distinct from autotrophic components. In forest ecosystems the δ¹³C value of respiration from turnover of SOM (δ¹³CR_SOM) is typically 2-4‰ enriched compared with that from roots and associated microbes (δ¹³CR_ROOTS), with that from the litter (δ¹³CR_LITTER) lying between the two. We measured soil respiration at 50 locations in a forest soil and then used differences in isotopic signatures to quantify the proportion of soil respiration arising from the turnover of SOM (fR_SOM) at a subset of 30 locations, chosen randomly. The soil surface CO₂ efflux was collected using an open chamber system supplied with CO₂-free air and the δ¹³C signature (δ¹³CR_S) measured, giving a mean (±SD) value across the site of −26.1 ± 0.58‰. The values of δ¹³CR_ROOTS, δ¹³CR_LITTER and δ¹³CR_SOM were measured at each location by incubation of roots, litter and root-free soil and collection of the CO₂ for isotopic analysis. δ¹³CR_SOM became progressively depleted with length of incubation (1.5‰ after 8 h), so CO₂ was collected after 20 min. The mean value of δ¹³CR_LITTER was −27.2 ± 0.68 ‰, which was indistinguishable from δ¹³CR_ROOTS of −27.6 ± 0.51‰, while δ¹³CR_SOM was −25.1 ± 0.88‰. δ¹³CR_ROOTS and δ¹³CR_SOM measured at each location were used as the end points of a two component mixing model to calculate fR_SOM, giving a mean value for fR_SOM of 0.61 ± 0.28. It was not possible to estimate fR_SOM using the total C contents of the roots and soil which were significantly depleted in ¹³C in comparison to their respired CO₂. However, at seven locations the δ¹³CR_S was slightly enriched compared with δ¹³CR_SOM (mean 0.3‰), which was not considered significantly different so fR_SOM was constrained to 1.0. If these seven rings were excluded mean fR_SOM was 0.49 ± 0.20. We have shown the possibility of using natural abundance ¹³C discrimination to quantify fR_SOM in a forest soil with an input of carbon only from C₃ photosynthesis.     

Cyanobacterial inoculation of heated soils: effect on microorganisms of C and N cycles and on chemical composition in soil surface

Physiological groups of soil microorganisms, total C and N and available nutrients were investigated in four heated (350 °C, 1 h) soils (one Ortic Podsol over sandstone and three Humic Cambisol over granite, schist or limestone) inoculated (1.5 μg chlorophyll a g⁻¹ soil or 3.0 μg chlorophyll a g⁻¹ soil) with four cyanobacterial strains of the genus Oscillatoria, Nostoc or Scytonema and a mixture of them.Cyanobacterial inoculation promoted the formation of microbiotic crusts which contained a relatively high number of NH₄⁺-producers (7.4×10⁹ g⁻¹ crust), starch-mineralizing microbes (1.7×10⁸ g⁻¹ crust), cellulose-mineralizing microbes (1.4×10⁶ g⁻¹ crust) and NO₂⁻ and NO₃⁻ producers (6.9×10⁴ and 7.3×10³ g⁻¹ crust, respectively). These crusts showed a wide range of C and N contents with an average of 293 g C kg⁻¹ crust and 50 g N kg⁻¹ crust, respectively. In general, Ca was the most abundant available nutrient (804 mg kg⁻¹ crust), followed by Mg (269 mg kg⁻¹ crust), K (173 mg kg⁻¹ crust), Na (164 mg kg⁻¹ crust) and P (129 mg kg⁻¹ crust). There were close positive correlations among all the biotic and abiotic components of the crusts.Biofertilization with cyanobacteria induced great microbial proliferation as well as high increases in organic matter and nutrients in the surface of the heated soils. In general, cellulolytics were increased by four logarithmic units, amylolytics and ammonifiers by three logarithmic units and nitrifiers by more than two logarithmic units. C and N contents rose an average of 275 g C kg⁻¹ soil and 50 g N kg⁻¹ soil while the C:N ratio decreased up to 7 units. Among the available nutrients the highest increase was for Ca (315 mg kg⁻¹ soil) followed by Mg (189 mg kg⁻¹ soil), K (111 mg kg⁻¹ soil), Na (109 mg kg⁻¹ soil) and P (89 mg kg⁻¹ soil). Fluctuations of the microbial groups as well as those of organic matter and nutrients were positively correlated.The efficacy of inoculation depended on both the type of soil and the class of inoculum. The best treatment was the mixture of the four strains and, whatever the inoculum used, the soil over lime showed the most developed crust followed by the soils over schist, granite and sandstone. In the medium term there were not significant differences between the two inocula amounts tested.These results showed that inoculation of burned soils with alien N₂-fixing cyanobacteria may be a biotechnological means of promoting microbiotic crust formation, enhancing C and N cycling microorganisms and increasing organic matter and nutrient contents in heated soils.     

氮磷钾配比对木薯养分吸收动态及产量影响

【目的】木薯是重要的粮食作物,也是优质的淀粉工业原材料,被认为是非粮生物质能源的最合适原料。氮、 磷、 钾含量水平显著影响木薯产量,但有关木薯养分阶段性累积特征及其对生物量和产量形成影响的相关研究仍较少。本文比较了不同肥料配比情况下,木薯生物量, 氮、 磷、 钾累积量变化趋势,探讨了不同生育期氮、 磷、 钾含量及累积量的重要性及施肥对其影响。【方法】以我国主栽木薯品种华南205为材料,2009年在广东省郁南县丘陵坡地开展田间施肥试验,共设CK、 NP、 NK、 PK、 NPK 5个施肥处理。于苗期、 块根形成期、 块根生长早期、 块根快速膨大期和成熟期调查生物量和氮、 磷、 钾含量,得出氮、 磷、 钾累积动态。以各时期氮、 磷、 钾含量及累积量作为原始变量进行主成分分析,判断各时期氮、 磷、 钾含量及累积量的重要性,并分析不同肥料配比对各时期氮、 磷、 钾含量及累积量的影响。【结果】华南205的生物量累积动态呈S型曲线, 生物量在苗期较小,进入块根形成期后快速提高,当进入成熟期后增长逐渐减缓。氮肥对生物量影响最大,其次是钾肥,磷肥的影响最小。木薯氮含量的变幅为3.99%~0.93%, 磷含量为0.82%~0.26%, 钾含量为1.39%~0.89%。氮、 磷、 钾含量均在苗期最高,且随着生育期的推进不断降低,尤以氮含量降幅最大。不同氮、 磷、 钾肥料配比显著影响木薯的氮、 磷、 钾含量。PK处理的氮含量较NPK处理降低了32.96%,NK处理的磷含量较NPK处理降低了16.21%,NP处理的钾含量较NPK处理降低了50.37%。氮、 磷、 钾累积量与产量显著相关。主成分分析表明木薯整个生育期的营养状况与块根形成期的氮含量、 苗期的钾含量及块根生长阶段的磷含量相关性最大。氮、 磷、 钾的吸收累积量随着木薯生长不断提高,其中块根形成期、 块根生长早期、 块根快速膨大期的氮累积量较大,块根形成期、 块根快速膨大期的磷累积量较大,块根生长早期、 块根快速膨大期、 成熟期的钾累积量较大。主成分分析表明块根快速膨大期的氮、 磷、 钾累积量对整个生育期养分累积影响显著,同时,苗期及块根生长早期的氮、 钾累积量对养分累积总量影响也较大。【结论】木薯氮、 磷、 钾含量随着植株生长不断下降,而累积量却不断提高。不同氮、 磷、 钾肥料配比显著影响木薯的氮磷钾含量及累积量、 物质累积及产量形成,其中氮肥的影响最大,其次是钾肥,磷肥的影响最小。综合分析表明,苗期、 块根形成期、 块根生长早期为氮、 磷肥的最佳施用时期,块根形成期、 块根生长早期及块根快速膨大期为钾肥的补充阶段。