高寒地区不同海拔梯度西北小檗生境土壤微生物群落结构及多样性分析

以青海高原2 300～4 000 m海拔范围的6处西北小檗(Berberis vernae)生境土壤为试材,采用高通量测序方法,分析不同海拔梯度西北小檗生境土壤微生物群落结构及多样性。研究结果表明:(1)在西北小檗生境土壤中,细菌群落组成主要包括10个细菌门21个细菌属,真菌群落由子囊菌门、担子菌门等8个真菌门59个真菌属组成。(2)低海拔位置的海东乐都1号样点(hdld1) 0～20 cm土层的细菌群落丰富性及多样性均最高,黄南泽库样点(hnzk) 0～20 cm土层的真菌群落丰富度最高,西宁大通样点(xndt) 0～20 cm土层的真菌群落多样性最高;随着海拔的升高,0～20 cm、40～60 cm土层的细菌群落丰富度及多样性呈现出先降低再升高再降低的趋势,20～40 cm土层的细菌群落丰富度及多样性则呈现出先升高后降低的趋势,0～20 cm、20～40 cm土层土壤微生物真菌群落丰富度呈现出先升高再降低再升高的趋势,0～20 cm、40～60 cm土层真菌群落多样性呈现先升高再降低的趋势,40～60 cm土层的真菌丰富度及20～40 cm土层的真菌多样性的变化趋势不明显。(3)硝态氮、速效磷和速效钾对土壤微生物群落的影响较明显。综上可知,高寒地区不同海拔梯度西北小檗生境土壤微生物群落结构多样性呈现出一定的海拔差异趋势,其海拔差异主要受到环境条件、土壤理化性质和植被分布的影响。     

连作苹果园土壤真菌的T-RFLP分析

为探讨连作苹果园不同土壤空间真菌群落结构,应用T-RFLP(Terminal Restriction Fragment Length Polymorphism)技术,比较了3个连作园不同取样位置(行间、原穴、株间)和不同土层(0—30 cm、30—60 cm)的土壤真菌多样性,并结合不同样品TRFLP图谱的差异,采用多样性指数分析、聚类分析和主成分分析(PCA),分析了3个连作园土壤真菌群落结构特征。结果表明,磁窑、道朗和金城连作园的土壤真菌多样性存在差异,各采样地区的Shannon多样性指数在0.43—2.47之间,Pielou均匀度指数在0.17—0.85之间,Simpson优势度指数在0.12—0.81之间,Margalef丰富度指数最高的是金城树穴0—30 cm土层(R=4.55),最低的是磁窑行间30—60 cm土层(R=0.77)。在调查的不同取样位置、不同土层中,原树穴具有最高的多样性指数、均匀度指数、丰富度指数和最低的优势度指数;0—30 cm土层的土壤真菌多样性指数、均匀度指数、丰富度指数均高于30—60cm土层,而优势度指数的趋势正好相反;PCA和聚类分析结果显示磁窑、道朗和金城连作园的土壤真菌群落结构均有明显差异,3个连作园的土壤真菌各自构成一个独立的群落结构,这些群落能够适应各自的土壤环境并成为环境的优势群落。     

氮肥添加对高寒藏嵩草(Kobresia tibetica)沼泽化草甸和土壤微生物群落的影响

以藏嵩草沼泽化草甸为研究对象,利用磷脂脂肪酸(PLFA)技术,研究连续6年N素添加对地上植被群落数量特征、土壤微生物群落结构的影响。结果表明:①藏嵩草沼泽化草甸群落生物量、枯枝落叶对施肥处理无明显响应,且莎草科植物对土壤氮素的吸收和利用率较低。②施肥增加了0-10 cm土壤微生物类群PLFAs丰富度尤其细菌和革兰氏阳性菌PLFAs,降低了10-20 cm PLFAs丰富度;③磷脂脂肪酸饱和脂肪酸/单烯不饱和脂肪酸、细菌PLFAs/真菌PLFAs的比值随土壤层次增加而增加;④0-10 cm土层革兰氏阳性菌、真菌PLFAs含量与pH、土壤速效磷、速效氮、土壤有机质显著正相关(P0.05或P0.01);10-20 cm土层,细菌、革兰氏阳性菌、真菌和总PLFAs含量与土壤有机质含量显著正相关(P0.05或P0.01)。表明藏嵩草沼泽化草甸微生物PLFAs含量和丰富度对施肥的响应存在明显的土层梯度效应,土壤微生物PLFAs含量和丰富度主要受表层土壤初始养分含量的影响。     

基于高通量测序分析西藏北部高寒草甸不同深度土壤线虫群落分布特征

为了研究藏北高寒草甸土壤线虫多样性,于2017年8月,采用Illumina MiSeq测序技术,研究了西藏北部高寒草甸0—25 cm范围内不同深度土层的土壤线虫群落组成与结构特征。结果表明:5个不同深度共获得OTU 990个,隶属于3个纲,7个目,25个科,30个属,刺嘴纲Enoplea为共有优势土壤线虫群落;对样品进行Alpha多样性评价,计算Chao 1指数、Shannon指数和Ace指数,发现5—10 cm的土壤样品群落有较高的丰富度;属水平Heatmap图分析可知20—25、15—20、0—5、5—10、10—15 cm土壤线虫群落的组成相似性有一个递增的趋势。与不同深度藏北高山嵩草(盛长期)线虫群落结构相关性较大的土壤化学指标是K~+、含水率、有机质和Zn~(2+)。研究发现不同深度土壤线虫种类及丰度存在一定的差异,可为研究藏北高寒草地土壤线虫群落特点提供依据。     

青海海北植物群落类型与土壤线虫群落相互关系

土壤线虫是良好的指示生物, 是植物群落演替的重要驱动力, 其生态功能影响着生态系统正常生态效应的发挥。该研究以海北矮生嵩草(Kobresia humilis)草甸、西藏嵩草(Kobresia tibetica)沼泽化草甸、暗褐薹草(Carex atrofusca)沼泽化草甸和金露梅(Potentilla fruticosa)灌丛4种不同植物群落类型的土壤线虫为研究对象, 研究不同植物群落类型下的土壤线虫群落组成、分布特征、物种多样性及其营养类群组成, 分析植物类群结构与土壤线虫群落之间的相关性。主要研究结果: (1)在4种植物群落土壤样本中共分离线虫3 800条, 分属于2纲5目15科30属, 线虫平均个体密度为每100 g干土580条, 随土壤深度增加而递减, 具有明显的表聚性。不同植物群落间的土壤线虫群落组成存在一定差异, 矮生嵩草草甸0-40 cm土壤线虫总数(1 811条·392.5 cm^-3)显著高于其他植物群落类型, 暗褐薹草沼泽化草甸的土壤线虫总数最少(324条·392.5 cm^-3)。4种植物群落下土壤线虫的优势属和营养类群组成存在差异, 这种差异在矮生嵩草草甸与暗褐薹草沼泽化草甸之间表现得尤为明显。 (2)不同植物群落下土壤线虫的多样性指数(H′)和均匀度指数(J′)均为金露梅灌丛最高, 暗褐薹草沼泽化草甸最低, 其两种植物群落间H′差异显著, 而优势度指数(λ)相反, 为暗褐薹草沼泽化草甸最高, 金露梅灌丛最低。表明金露梅灌丛土壤线虫群落多样性最高, 暗褐薹草沼泽化草甸土壤线虫群落多样性最低, 土壤线虫群落趋于单一化。4种植物群落土壤有机质的分解途径均以细菌通道为主。西藏嵩草沼泽化草甸的瓦斯乐斯卡指数(WI)显著高于矮生嵩草草甸, 表明从高寒沼泽化草甸过渡到高寒灌丛、高寒草甸, 土壤肥力不断降低, 沼泽化草甸有利于食微生物线虫的生长。暗褐薹草沼泽化草甸的植物寄生线虫指数(PPI)、成熟度指数(MI)均表现为最低, 表明其生态系统的成熟度较低, 这与暗褐薹草沼泽化草甸土壤含水量较高有关。不同植物群落下的富集指数(EI)、结构指数(SI)均为暗褐薹草沼泽化草甸最高, 由此可以看出暗褐薹草沼泽化草甸的食物网相对连通性较高, 食物链较长, 食物网的阻力相对较小。(3)主成分分析(PCA)结果显示4种植物群落最大贡献属不同。相关性分析表明: 食细菌性线虫数量与西藏嵩草沼泽化草甸有显著的正相关关系; 金露梅灌丛的植物多样性与线虫的H′、J′有显著的负相关关系, 与λ则有显著的正相关关系; WI与矮生嵩草草甸的植物多样性有显著的正相关关系, PPI与矮生嵩草草甸的物种多样性指数有显著的负相关关系。综上所述, 植物群落深刻地影响着土壤线虫群落的多样性。     

蒙古沙冬青及其伴生植物AM真菌物种多样性

于2015年7月在内蒙古乌海、磴口2个样地选取蒙古沙冬青(Ammopiptanthus mongolicus)及其伴生植物为研究对象,分别采集0-20 cm和20-40 cm土层根围土样,利用高通量测序方法分析了不同植物AM真菌群落结构和物种多样性,发掘新物种,为补充和完善AM真菌分类体系提供依据。试验共分离鉴定3纲5目6科9属89个AM真菌OTU,属包括Glomus,Funneliformis,Diversispora,Claroideoglomus,Rhizophagus,Septoglomus,Scutellospora,Ambispora和Paraglomus。与形态学研究结果相比,高通量鉴定结果在属水平上更丰富。同一土层不同样地,蒙古沙冬青AM真菌丰度和多样性指数高于伴生植物;同一土层不同植物,AM真菌丰度和多样性指数表现为磴口高于乌海;同一植物不同样地,AM真菌ACE指数和Chao1指数20-40 cm土层高于0-20 cm土层,Simpson指数和Shannon指数0-20 cm土层高于20-40 cm土层。RDA分析表明,AM真菌ACE指数和Chao1指数与土壤碱解N显著正相关,与酸性磷酸酶显著负相关;Simpson指数和Shannon指数与碱性磷酸酶显著正相关,与pH显著负相关。结果表明,蒙古沙冬青AM真菌物种多样性高于伴生植物,同一样地,寄主植物与土壤深度共同作用对AM真菌群落组成有显著影响。     

不同施肥方式对酸性茶园土壤真菌群落的影响

为揭示不同施肥方式对茶园土壤真菌群落结构的影响,依托定位施肥试验,采集对照(CK)、纯化肥(N300)、有机肥配施(OM30) 3个处理的0—10 cm和10—20 cm两层土壤,通过高通量测序技术,分析不同施肥处理下,茶园土壤真菌群落结构特征及其与土壤理化性质的关系。结果表明0—10 cm土层中真菌Alpha多样性显著高于10—20 cm土层(P0.05);在同一土层中,Alpha多样性变化趋势为CK N300 OM30。子囊菌门、担子菌门、接合菌门是试验茶园土壤中三大优势真菌门类,Sordariomycetes纲,Tremellomycetes纲和Mortierellomycotina纲分别是子囊菌门、担子菌门和接合菌门下的优势种群。子囊菌门和担子菌门在0—10 cm土层中相对丰度较高,而接合菌门则在10—20 cm土层中具有较高丰度(P0.05)。施肥处理提高了土壤中接合菌门的相对丰度,降低了子囊菌门的相对丰度。不同深度土壤中真菌群落结构差异主要受土壤理化性质变化驱动,冗余分析和Monte Carlo置换检验结果显示,土壤有机碳、全氮、碳氮比、全钾、速效钾含量对土壤真菌群落结构影响显著(P0.05),而试验茶园土壤的pH变化对同一土层中真菌群落结构的影响并不显著(P0.05)。     

尖峰岭热带天然林不同土层细菌群落多样性和组成的海拔变异规律

土壤微生物群落结构沿海拔梯度的变异是微生物生物地理学分异和群落空间分布的重要内容,然而,热带森林土壤微生物多样性及其群落特征的海拔模式尚不明确。研究海南省尖峰岭自然保护区0—20cm和20—40cm土壤细菌多样性和群落组成沿海拔梯度(400—1410m)的变化及其与环境因子的关系。结果表明：在0—20cm土壤微生物生物量碳、生物量氮和生物量磷随海拔升高(峰顶降低)而增加,20—40cm土壤微生物生物量碳、生物量氮和生物量磷随海拔升高呈先升高后降低趋势;整体上,变形菌门、放线菌门、酸杆菌门、拟杆菌门、厚壁菌门在0—20cm中占优势,丰度总和占该层细菌总量的88.17%;变形菌门、放线菌门、酸杆菌门、厚壁菌门、绿弯菌门在20—40cm中占优势,丰度总和占该层细菌总量的90.82%;随海拔增加,0—20cm细菌多样性线性减少,20—40cm细菌多样性变化不显著;沿海拔梯度,0—20cm细菌群落组成可分为低(409—1018m),中(1018—1357m)和高(1410m)三个海拔聚集群落,20—40cm细菌群落组成随海拔无显著性变化;两土层细菌多样性与土壤pH显著正相关,土壤细菌群落组成在0...     

吉林省辽源地区羊肚菌根际土壤真菌多样性及群落组成

为探究羊肚菌Morchella与不同土壤生长环境及土壤理化因子的关系,以吉林省辽源市的野生和栽培两种生境为样地,采集羊肚菌根际土壤样品为材料,通过Illumina MiSeq高通量测序技术,对羊肚菌土壤真菌群落结构和多样性进行研究,同时分析土壤理化因子对其真菌群落多样性及优势菌属的影响。通过Alpha多样性分析发现:与对照组相比,不论是野生环境还是栽培环境,羊肚菌生长之后的土壤真菌的群落组成多样性降低;通过Beta多样性分析发现:两组根际土壤真菌组成差异非常明显,说明不同的羊肚菌生长环境对土壤真菌组成有重要影响,同时,野生羊肚菌根际土壤真菌优势菌属是被孢霉属Mortierella,栽培羊肚菌根际土壤真菌优势菌属是红菇属Russula。土壤冗余分析表明土壤理化指标中全氮(TN)、有机碳(OC)对土壤真菌群落多样性影响最大,野生羊肚菌根际土壤中的优势菌属被孢霉属与TN、OC 2种元素呈正相关,而栽培羊肚菌根际土壤中的优势菌属红菇属与Mg~(2+)、全磷(TP)、Ca~(2+)和K~+4种元素呈正相关。研究结果表明羊肚菌更喜欢生活在略偏碱的土壤环境。     

不同生境下川麦冬根围土壤丛枝菌根真菌多样性北大核心CSCD

采用高通量(Illumina Miseq)测序技术对栽培和野生2种生境下川麦冬根围的丛枝菌根(AM)真菌多样性和群落结构进行测定,并结合土壤理化因子进行相关性分析,以明确两种生境下川麦冬根围土壤AM真菌多样性和优势群落的分布特点,探讨AM真菌群落分布差异的驱动因子,为AM真菌应用于麦冬生产提供理论依据和技术支持。结果表明:(1)不同生境下川麦冬根围土壤中共鉴定出AM真菌3属10种,其中野生川麦冬根围土壤鉴定出的AM真菌3属7种,分别隶属于无梗囊霉属(Acaulospora)、多孢囊霉属(Diversispora)和球囊霉属(Glomus),而栽培环境下鉴定出AM真菌1属6种,隶属于球囊霉属。2个生境优势属均为球囊霉属。(2)不同生境下川麦冬根围AM真菌之间存在显著差异,野生生境下川麦冬根围土壤AM真菌多样性指数ACE和Shannon均显著高于人工栽培生境,而Simpson指数则相反。(3)相关性分析表明,AM真菌多样性指数及群落组成结构均与土壤理化因子存在相关性,其中全钾(TK)、全磷(TP)、全氮(TN)对AM真菌多样性指数和群落结构组成均存在显著影响。研究认为,不同生境下川麦冬根围AM真菌群落存在显著差异,球囊霉属为川麦冬互利共生的关键属,TK、TP、TN是不同生境川麦冬根围AM真菌群落差异的主要驱动因子。     

Concept,Components, and Strategies of Soil Health in Agroecosystems

The terms ''''soil health'''' or ''''soil quality'''' as applied to agroecosystems refer to the ability of soil to support and sustain crop growth while maintaining environmental quality. High-quality soils have the following characteristics: (i) a sufficient, but not excess, supply of nutrients; (ii) good structure (tilth); (iii) sufficient depth for rooting and drainage; (iv) good internal drainage; (v) low populations of plant disease and parasitic organisms; (vi) high populations of organisms that promote plant growth; (vii) low weed pressure; (viii) no chemicals that might harm the plant; (ix) resistance to being degraded; and (x) resilience following an episode of degradation. Management intended to improve soil health involves creatively combining a number of practices that enhance the soil''s biological, chemical, and physical suitability for crop production. The most important general strategy is to add plentiful quantities of organic matter—including crop and cover crop residues, manures, and composts. Other important strategies include better crop rotations, reducing tillage and keeping the soil surface covered with living and dead residue, reducing compaction by decreasing heavy equipment traffic, and using best nutrient management practices. Practices that enhance soil quality frequently reduce plant pest pressures.     

辣椒茎、叶对酸化土壤交换性能及土壤酶活性的影响

采用辣椒秸秆废弃物与酸化土壤共培养的方法, 设计了不同添加量的辣椒茎、叶与酸化土壤充分混合、共培养, 测定了土壤交换性离子及土壤酶活性的变化, 探讨辣椒茎、叶对酸化土壤交换性能及土壤酶活性的影响。结果表明, 辣椒茎、叶可以改善酸化土壤pH, 降低酸化土壤交换性酸含量; 添加辣椒茎、叶可提高土壤NH4+-N含量, 影响土壤NO3--N转化; 添加辣椒茎、叶可提高土壤交换性盐基含量、CEC及盐基饱和度, 尤其以添加辣椒叶5%的效果最好; 辣椒茎、叶可以提高土壤脲酶活性, 但培养60 d后各处理土壤过氧化氢酶、蔗糖酶、酸性磷酸酶活性无显著性差异; 添加辣椒茎、叶能提高土壤酶的几何平均数, 改善酸化土壤质量, 其对酸化土壤质量的改变与辣椒茎、叶的添加量有关。研究结论可为开拓辣椒秸秆利用途径、改善土壤酸度, 提高土壤肥力等方面提供理论依据。     

A rapid,cost-effective procedure for the extraction of microbial DNA from soil

Here we describe a DNA extraction method that is based on a simple, rapid polyvinylpolypyrrolidone–calcium chloride precipitation to release microorganisms from the soil combined with lysozyme–proteinase–SDS lysis of the microbial community. The extracted DNA is of high quality and allows direct detection of specific genes by the polymerase chain reaction (PCR) as well as cloning of indigenous microbial DNA. This method facilitates the extraction of 36 500-mg soil samples simultaneously in a 2-h period by one person. The procedure is safe, inexpensive, and does not require specialized equipment or generate hazardous wastes.     

Soil and total ecosystem respiration in agricultural fields: effect of soil and crop type

A study was made of the effect of soil and crop type on the soil and total ecosystem respiration rates in agricultural soils in southern Finland. The main interest was to compare the soil respiration rates in peat and two different mineral soils growing barley, grass and potato. Respiration measurements were conducted during the growing season with (1) a closed-dynamic ecosystem respiration chamber, in which combined plant and soil respiration was measured and (2) a closed-dynamic soil respiration chamber which measured only the soil and root-derived respiration. A semi-empirical model including separate functions for the soil and plant respiration components was used for the total ecosystem respiration (TER), and the resulting soil respiration parameters for different soil and crop types were compared. Both methods showed that the soil respiration in the peat soil was 2–3 times as high as that in the mineral soils, varying from 0.11 to 0.36 mg (CO₂) m^–2 s^–1 in the peat soil and from 0.02 to 0.17 mg (CO₂) m^–2 s^–1 in the mineral soils. The difference between the soil types was mainly attributed to the soil organic C content, which in the uppermost 20 cm of the peat soil was 24 kg m^–2, being about 4 times as high as that in the mineral soils. Depending on the measurement method, the soil respiration in the sandy soil was slightly higher than or similar to that in the clay soil. In each soil type, the soil respiration was highest on the grass plots. Higher soil respiration parameter values (R_s0, describing the soil respiration at a soil temperature of 10°C, and obtained by modelling) were found on the barley than on the potato plots. The difference was explained by the different cultivation history of the plots, as the potato plots had lain fallow during the preceding summer. The total ecosystem respiration followed the seasonal evolution in the leaf area and measured photosynthetic flux rates. The 2–3-fold peat soil respiration term as compared to mineral soil indicates that the cultivated peat soil ecosystem is a strong net CO₂ source.     

黄土和风沙土藓结皮土壤呼吸对模拟降雨的响应

生物结皮土壤呼吸是干旱和半干旱生态系统碳循环的重要组成部分,但目前其对降雨的响应规律尚不明确。针对黄土高原黄土和风沙土上发育的藓结皮,分别进行2、4、6、10、20、30、40 mm的模拟降雨,并使用便携式土壤碳通量分析仪测定雨前和雨后藓结皮的呼吸速率,对比分析降雨量对藓结皮呼吸速率的影响;同时,在40 mm降雨后的0—24 h连续测定藓结皮的呼吸速率变化,分析藓结皮呼吸速率随雨后历时的变化规律。结果显示,7种降雨量后两种土壤上藓结皮的呼吸速率均显著升高,黄土上藓结皮呼吸速度的增幅为2.89—6.38倍,风沙土上藓结皮呼吸速率的增幅为0.73—4.38倍。0—6 mm降雨中,两种土壤上藓结皮的呼吸速率均随降雨量增加而迅速升高,二者成显著线性正相关关系;6—40 mm降雨中,黄土上藓结皮的呼吸速率随降雨量增加而缓慢升高,但风沙土上藓结皮的呼吸速率随降雨量增加而快速降低。两种土壤上藓结皮的呼吸速率随雨后历时表现出相似的变化规律,即雨后迅速升高、之后逐渐降低,并在24 h左右回归到雨前水平;但黄土上藓结皮的呼吸速率在雨后即刻达到峰值,而风沙土上藓结皮的呼吸速率在雨后30 min左右方达到峰值。黄土上藓结皮的呼吸速率一致高于风沙土上的藓结皮,前者在不同降雨量和雨后历时中平均比后者高150.0%和59.6%。此外,藓结皮呼吸速率与表层土壤含水量存有显著相关关系,在含水量较低(小于约4%)时二者显著正相关,在含水量较高(大于约4%)时二者对于黄土上藓结皮为正相关、对于风沙土上藓结皮为负相关。研究表明,黄土高原藓结皮土壤呼吸对降雨响应快速而直接,但其响应规律对于黄土和风沙土上的藓结皮是不同的,总体而言黄土上藓结皮对降雨的响应更为持久有效。     

Soil Erosion Impact on Agronomic Productivity and Environment Quality

Soil erosion is a global issue because of its severe adverse economic and environmental impacts. Economic impacts on productivity may be due to direct effects on crops/plants on-site and off-site, and environmental consequences are primarily off-site due either to pollution of natural waters or adverse effects on air quality due to dust and emissions of radiatively active gases. Off-site economic effects of erosion are related to the damage to civil structure, siltation of water ways and reservoirs, and additional costs involved in water treatment. There are numerous reports regarding the on-site effects of erosion on productivity. However, a vast majority of these are from the U.S., Canada, Australia, and Europe, and only a few from soils of the tropics and subtropics. On-site effects of erosion on agronomic productivity are assessed with a wide range of methods, which can be broadly grouped into three categories: agronomic/soil quality evaluation, economic assessment, and knowledge surveys. Agronomic methods involve greenhouse and field experiments to assess erosion-induced changes in soil quality in relation to productivity. A widely used technique is to establish field plots on the same soil series but with different severity of past erosion. Different erosional phases must be located on the same landscape position. Impact of past erosion on productivity can also be assessed by relating plant growth to the depth of a root-restrictive horizon. Impact of current erosion rate on productivity can be assessed using field runoff plots or paired watersheds, and that of future erosion using topsoil removal and addition technique. Economic evaluation of the on-site impact involves assessment of the losses of plant available water and nutrients and other additional inputs needed due to erosion. Knowledge surveys are conducted as a qualitative substitute for locations where quantitative data are not available. Results obtained from these different techniques are not comparable, and there is a need to standardize the methods and develop scaling procedures to extrapolate the data from plot or soil level to regional and global scale. There is also a need to assess on-site impact of erosion in relation to soil loss tolerance, soil life, soil resilience or ease of restoration, and soil management options for sustainable use of soil and water resources. Restoration of degraded soils is a high global priority. If about 1.5×10⁹?ha of soils in the world prone to erosion can be managed to effectively control soil erosion, it would improve air and water quality, sequester C in the pedosphere at the rate of about 1.5?Pg/year, and increase food production. The risks of global annual loss of food production due to accelerated erosion may be as high as 190×10⁶?Mg of cereals, 6×10⁶?Mg of soybeans, 3×10⁶?Mg of pulses, and 73×10⁶?Mg of roots and tubers. The actual loss may depend on weather conditions during the growing season, farming systems, soil management, and soil ameliorative input used. Erosion-caused losses of food production are most severe in Asia, Sub-Saharan Africa, and elsewhere in the tropics rather than in other regions.     

新疆玛纳斯流域非农业种植地盐碱性空间变异特征

土壤盐渍化是导致干旱区土地退化的主要原因之一,也是影响干旱区可持续发展和环境改善的基本问题。充分挖掘不同分类体系下盐渍土空间变异性可以为实施开垦或恢复生态措施提供科学依据。以干旱区开垦近50a的玛纳斯流域为研究区,在不同分类体系下,以土壤盐度,p H值,离子类型为指标,分析该区域非农业种植地(弃耕地,盐碱地,裸地,沙地)盐渍土类型的空间分布特征。结果表明:(1)研究区68%的样本属于非盐渍化,不同类型的盐渍土主要以链状分布于泉水溢出带-冲积平原-干三角洲地带,由南向北,区域整体盐分大致遵循先升高后降低再升高趋势,半方差函数分析土壤盐分呈现弱变异,说明这种分布情况是受随机(人为)因素的影响;而p H整体由南向北递增,传统统计学和地统计学的分析结果都表明土壤碱化呈现中等变异,受结构(自然)因素和随机(人为)因素的共同影响。表层土壤除在溢出带为氯化物型盐渍土外,其他地区自南向北由硫酸-氯化物型逐渐变为氯化-硫酸盐型和硫酸盐土、苏打盐土,离子的半方差函数拟合模型结果均是弱变异和中等变异,与美国盐度实验室分类体系的变异性结果相同,此类分布特征也是结构因素和随机因素共同作用的结果。(2)分析五种典型地貌的盐渍土分布,方差分析结果表明,5种地貌类型均呈现盐分表聚特征,碱化度则由南向北递增;其中盐碱特征最为显著的是泉水溢出带。泉水溢出带的盐土垂直方向的变化趋势为由表层至深层,盐土类型由硫酸-氯化物盐土变为氯化盐土;冲积平原和干三角洲样点处全剖面为氯化物-硫酸盐土,冲积洪积扇和沙漠地区则包含所有阴离子盐土类型。对玛纳斯流域盐渍土特性的空间异质性进行分析,可以为下一步有针对性地治理与改善土壤盐渍化提供科学依据。     

Trajectories of change: riparian vegetation and soil conditions following livestock removal and replanting

Riparian zones provide critically important ecological functions, including the interception of nutrients and sediments before they enter waterways. Consequently, riparian zones, and the vegetation they support, are often considered as an important ‘final buffer’ between waterways and adjacent land. In agricultural ecosystems, riparian zones are therefore increasingly recognized as an important component of strategies aimed at minimizing the flow of nutrients and sediments into waterways. Accordingly, riparian zones are increasingly afforded protection and are targeted for restoration. Here we present results of a study in which we aimed to identify patterns of change in soil and vegetation properties in riparian zones, under different management regimes, adjacent to tributary streams in one of south‐eastern Australia's main agricultural regions. We compared riparia that were heavily impacted by agricultural activities, were in remnant condition or had undergone some restoration activities and were thus in a transitional state. There was an increase in plant cover and soil C concentration between impacted through to remnant sites, with transitional sites intermediate, suggesting that improvements in soil conditions were becoming evident following restoration activities. In our assessment of soil physicochemical properties we investigated the relationships between riparian condition and soil properties, taking into account the influence of adjacent land use on these relationships. Importantly, the concentrations of NO₃^‐ and plant available P in riparian surface soils were more or less influenced by concentrations in the adjacent land depending upon riparian condition. This will, in turn, have consequences for nutrient inputs into streams. This study emphasizes that riparian zones need to be managed within their wider landscape context. Furthermore, the results of this study will inform efforts seeking to minimize impacts of agricultural activities on waterways, through the conservation and/or restoration of riparian ecosystems.     

Soil CO2 efflux in a tropical forest in the central Amazon

This study investigated the spatial and temporal variation in soil carbon dioxide (CO₂) efflux and its relationship with soil temperature, soil moisture and rainfall in a forest near Manaus, Amazonas, Brazil. The mean rate of efflux was 6.45±0.25 SE μmol CO₂ m^?2s^?1 at 25.6±0.22 SE°C (5 cm depth) ranging from 4.35 to 9.76 μmol CO₂ m^?2s^?1; diel changes in efflux were correlated with soil temperature (r²=0.60). However, the efflux response to the diel cycle in temperature was not always a clear exponential function. During period of low soil water content, temperature in deeper layers had a better relationship with CO₂ efflux than with the temperature nearer the soil surface. Soil water content may limit CO₂ production during the drying‐down period that appeared to be an important factor controlling the efflux rate (r²=0.39). On the other hand, during the rewetting period microbial activity may be the main controlling factor, which may quickly induce very high rates of efflux. The CO₂ flux chamber was adapted to mimic the effects of rainfall on soil CO₂ efflux and the results showed that efflux rates reduced 30% immediately after a rainfall event. Measurements of the CO₂ concentration gradient in the soil profile showed a buildup in the concentration of CO₂ after rain on the top soil. This higher CO₂ concentration developed shortly after rainfall when the soil pores in the upper layers were filled with water, which created a barrier for gas exchange between the soil and the atmosphere.