北京东灵山3种温带森林土壤呼吸及其20年的变化

土壤呼吸是陆地生态系统最主要的碳释放过程。为了探讨温带森林土壤呼吸在长时间尺度的变化, 利用北京东灵山地区的白桦(Betula platyphylla)林、辽东栎(Quercus wutaishanica)林和油松(Pinus tabuliformis)林3种温带森林永久样地, 于2012-2015年对其土壤呼吸进行测定, 并与1994-1995年的测定结果进行了比较。结果显示: 2012-2015年, 白桦林的平均年土壤呼吸量为(574 ± 21) g C·m^-2·a^-1, 显著高于辽东栎林(455 ± 31) g C·m^-2·a^-1和油松林(414 ± 35) g C·m^-2·a^-1, 比20年前(1994-1995年)的估测值分别增加了85%、17%和73%。这些结果表明, 近20年来这3种生态系统的碳周转速率明显加快。     

青藏高原4类典型水化学特征湖泊的细菌多样性差异及影响因素

青藏高原分布着我国最密集的极端环境湖泊群, 湖泊类型和水化学特征多样, 而不同类型湖泊的细菌群落组成与多样性差异的系统研究相对较少。本文以青藏高原4类典型水化学特征湖泊(即氯化物型、MgSO₄亚型、Na₂SO₄亚型、碳酸盐型)为研究对象, 借助Illumina测序16S rRNA基因(V₃‒V₄区)分析细菌多样性、群落组成差异及其优势属与环境因素的制约关系。结果表明: MgSO₄亚型与氯化物型湖泊多属于超盐环境, 而大多数Na₂SO₄亚型与碳酸盐型湖泊属于咸水、微咸水或淡水环境。4类湖泊获得分类地位明确的细菌共计45门81纲1,148属(52,031个OTUs), 细菌Shannon指数为碳酸盐型(5.27 ± 0.57) > Na₂SO₄亚型(4.96 ± 0.51) > 氯化物型(4.12 ± 0.80) > MgSO₄亚型(3.64 ± 1.04)。优势细菌门是变形菌门、厚壁菌门和拟杆菌门。变形菌门的相对多度总体较高, 优势纲是γ-、α-和β-变形菌纲; 厚壁菌门多分布于MgSO₄亚型和氯化物型湖泊, 优势纲是芽孢杆菌纲; 拟杆菌门主要分布于碳酸盐型和Na₂SO₄亚型湖泊, 优势纲是黄杆菌纲。全部氯化物型和少数MgSO₄亚型湖泊的细菌组成相似, 优势属是假单胞菌属(Pseudomonas)、乳球菌属(Lactococcus)和不动杆菌属(Acinetobacter), 其聚集分布与总盐度、主要离子(Mg²⁺、Cl^-、Na⁺与K⁺)和温度相关; MgSO₄亚型湖泊独有的常见属是芽孢杆菌属(Bacillus)、气单胞菌属(Aeromonas)、大洋芽孢杆菌属(Oceanobacillus)等, 其聚集分布与SO₄ ^2-浓度正相关; Na₂SO₄亚型与碳酸盐型湖泊的细菌组成相似, 优势属是水弯曲菌属(Aquiflexum)、海仙菌属(Haliea)与苍黄杆菌属(Luteolibacter), 其聚集分布与HCO₃ ^-浓度、pH值和海拔高度呈显著正相关。与世界上其他湖泊组/群相比, 青藏高原湖泊具有独特的细菌优势属和常见属, 不同类型湖泊的细菌群落组成存在显著差异, 可能与水化学类型或地理位置有关。     

天山雪莲SiSAD基因与拟南芥AtFAB2基因转化 烟草的抗寒性分析

通过转基因烟草(Nicotiana tabacum)验证天山雪莲(Saussurea involucrata) Δ9硬脂酰-ACP脱饱和酶基因SiSAD与拟南芥(Arabidopsis thaliana)中同源基因AtFAB2的抗寒性功能。利用农杆菌介导法将植物表达载体P_SiSAD:AtFAB2和P_SiSAD:SiSAD导入烟草, 然后将2种转基因和野生型烟草分别置于20°C、10°C、5°C、0°C及-2°C下处理2小时, 检测其相对电导率、丙二醛(MDA)含量、叶绿素荧光参数(F_v/F_m)及脂肪酸含量。将-2°C处理2小时后的植株置于25°C培养1周进行生长恢复实验。结果表明, 生长恢复实验中转SiSAD基因烟草的恢复效果显著优于转AtFAB2基因和野生型烟草。在0°C和-2°C处理2小时后, 转SiSAD、AtFAB2基因型和野生型烟草的相对电导率和丙二醛含量呈现显著递增趋势; 转SiSAD、AtFAB2基因型烟草的F_v/F_m显著高于野生型烟草, 其中, 转SiSAD基因烟草的F_v/F_m显著高于转AtFAB2基因烟草。转AtFAB2基因型和野生型烟草的油酸(C18:1)含量随着温度的降低逐渐升高后降低并在0°C时达到最高值; 而转SiSAD基因型烟草C18:1含量持续升高, 并在-2°C时达到最高值, 其含量分别是转AtFAB2基因型和野生型烟草的1.58倍和1.7倍。以上结果表明, 天山雪莲Δ9硬脂酰-ACP脱饱和酶基因SiSAD与拟南芥中同源基因AtFAB2均可以显著增强非低温驯化烟草的抗寒性, 但是SiSAD基因效果显著优于AtFAB2。     

东方白鹳幼鸟渤海湾越冬群体的迁徙策略

东方白鹳(Ciconia boyciana)主要在俄罗斯远东和中国东北繁殖, 在中国主要有两个越冬群体(长江越冬群体, 迁徙距离约2,600 km; 渤海湾越冬群体, 迁徙距离约1,500 km)。本文基于2016-2018年的卫星追踪数据(N = 14), 分析了渤海湾越冬群体幼鸟春季和秋季的迁徙策略和利用风的方式, 总结了850 mb压力下风速和风向对日迁徙飞行速度的影响。该群体春秋两季迁徙距离相似, 但春季的顺风条件(2.2 ± 6.3 m/s)显著优于秋季的逆风条件(-2.4 ± 4.1 m/s, P < 0.05), 这使得春季迁徙飞行速度(280.4 ± 62.0 km/d)显著快于秋季(185.5 ± 72.0 km/d, P < 0.05), 春季迁徙飞行时间(5.9 ± 2.5 d)显著短于秋季(10.3 ± 6.5 d, P < 0.05); 同时, 春季停歇时间(5.4 ± 9.7 d)短于秋季(17.8 ± 18.2 d, P = 0.05)。基于以上原因, 东方白鹳春季迁徙持续时间(11.2 ± 8.7 d)显著短于秋季(28.0 ± 21.2 d, P < 0.05)。渤海湾越冬群体幼鸟迁徙时, 春季利用顺风更快到达度夏地, 秋季逆风迁徙, 迁徙飞行速度慢, 迁徙飞行时间和停歇时间长。因此, 东方白鹳迁徙时虽然主要利用上升热气流翱翔, 但顺风也是其成功迁徙的有利因素。     

胡颓子属5种植物果实主要类胡萝卜素成分及含量

利用高效液相色谱法对华东地区常见的胡颓子属(Elaeagnus) 4种生态型的胡颓子(E. pungens)、2个变种的大叶胡颓子(E. macrophylla)、蔓胡颓子(E. glabra)、银果胡颓子(E. magna)和佘山胡颓子(E. argyi) 9个样品成熟果实所含主要类胡萝卜素成分及含量进行了检测。结果表明, 5种胡颓子属植物成熟果实中的主要类胡萝卜素成分为番茄红素, 且在不同种间含量差异显著, 含量最高的是浙江嵊州的胡颓子, 其值为(259.89±26.22) µg·g^-1FW, 最低的是佘山胡颓子, 其含量为(91.19±7.74) µg·g^-1FW; 其中4种生态型的胡颓子的番茄红素含量都较高。研究表明这5种胡颓子属植物果实富含番茄红素, 是一类珍贵的天然番茄红素资源, 具有较大的市场开发应用价值。研究结果为揭示果实高积累番茄红素的机理提供了理想的研究材料。     

三种分离自冬虫夏草真菌及培养条件

对采自青海玉树、青海果洛和云南迪庆的冬虫夏草鲜品进行虫生真菌的分离、纯化,获得3种生长形态不同的真菌QH 2019、GL 2019和YN 2019。通过形态学及分子鉴定,菌株QH 2019为蝙蝠蛾拟青霉Samsoniella hepiali,菌株GL 2019为粉棒束孢Isaria farinosa,菌株YN 2019为玫烟色棒束孢Isaria fumosorosea。对这3株菌的培养条件初步研究,结果表明：菌株QH 2019在1/4 SDAY培养基上菌丝日生长速率最快,为(1.94±0.55)mm/d,且菌丝致密、粗壮,含水率高达(91.90±1.22)%,虫草素和虫草酸均以PDA培养的含量最高,分别为(0.47±0.022)mg/g和(3.24±0.021)mg/g;菌株GL 2019在PDA培养基上菌丝日生长速率、菌丝含水率、虫草素含量和虫草酸含量都最高,分别为(2.37±0.20)mm/d、(88.34±2.00)%、(0.23±0.013)mg/g和(6.92±0.019)mg/g,但其菌丝在1/4 SDAY培养基上生长最为致密、粗壮;菌株YN 2019在PDA培养基上菌丝日生长速率、虫草素和虫草酸的含量最高,分别为：(2.27±0.27)mm/d、(0.50±0.012)mg/g和(11.32±0.16)mg/g,但其菌丝在1/4 SDAY培养基上含水率最高(95.23±1.65)%,且生长最为致密、粗壮。综合评价表明3株真菌中YN 2019菌丝中虫草素和虫草酸的含量高、生长速率快,有较好的药用研究价值。     

长白山阔叶红松林生态系统光能利用率的动态变化及其主控因子

生态系统光能利用率(LUE)反映了植被通过光合作用利用光能吸收和固定大气中CO₂的能力, 是表征生态系统生产力的重要指标。选取长白山温带阔叶红松(Pinus koraiensis)林生态系统为研究对象, 利用涡度相关通量观测数据, 采用直角双曲线方程获取了生态系统光合作用的表观量子效率(ε); 基于总生态系统初级生产力(GEP)与下垫面入射光合有效辐射(Q)的比值得到生态光能利用率(LUE_eco)。研究表明: 在季节尺度上, ε与LUE_eco均表现出显著的单峰变化特征, 并主要受到土壤温度和归一化植被指数(NDVI)的调控, 同时, ε和LUE_eco都受到GEP的显著影响, 而与Q的相关性较弱或无显著相关关系, 但散射辐射的增加在一定程度上有助于提高生态系统的LUE。ε与LUE_eco存在显著的线性正相关关系, 但ε明显高于LUE_eco。2003-2005年, ε与LUE_eco每年最大值的平均值分别为(0.087 ± 0.003)和(0.040 ± 0.002) μmol CO₂·μmol photon^-1, 年际间变异度分别为4.17%和4.25%, 而不同年份之间最大差异均达到8%或8%以上, 从而对模型模拟结果产生明显影响。因此, 在基于光能利用率模型的模拟研究中, 最大LUE的年际变异需要在参数反演和优化中给予重要考虑。     

小兴安岭大亮子河国家森林公园不同生境下土壤细菌多样性和群落结构

土壤细菌是森林生态系统的一个重要组成成分, 是生态系统中物质循环和能量流动的重要参与者, 细菌群落组成和生物多样性是反映土壤生态功能的重要指标。本文利用高通量测序技术分析了大亮子河国家森林公园内红松(Pinus koraiensis)林、落叶松(Larix gmelinii)林、蒙古栎(Quercus mongolica)林、枫桦(Betula costata)林、针阔混交林、灌木林和草甸等7种不同生境土壤细菌群落组成和多样性的差异性, 探讨该地区土壤细菌群落对不同生境的响应, 为地区森林生态系统的经营管理及生态系统稳定性的维护提供科学理论基础。在门的水平上, 各生境的细菌群落组成基本一致, 其中变形菌门(Proteobacteria)、放线菌门(Actinobacteria)、酸杆菌门(Acidobacteria)和疣微菌门(Verrucomicrobia)在7种生境土壤中相对丰度均大于10.0%, 是细菌中的优势菌门。在属的水平上, 共测得245个菌属, 各样地共有属118个, 占总属数的48.2%, 占总相对丰度的97.8%; 优势菌属分别为Spartobacteria_ genera_incertae_sedis、Gaiella、Gp16、Gp4, 占总相对丰度的47.0%, Spartobacteria_genera_incertae_sedis在7种生境土壤中丰度均最高。7种生境下的土壤细菌多样性和土壤理化因子存在着显著的差异, 红松林的土壤细菌群落多样性和丰富度均高于其他生境。土壤pH是大亮子河森林公园影响土壤细菌多样性的关键因子。     

模拟氮沉降和灌草去除对杉木人工林地土壤微生物群落结构的影响

土壤微生物是陆地生态系统重要的分解者和地上-地下相互作用的纽带。本文以亚热带杉木(Cunninghamia lanceolateata)人工林为对象, 通过模拟林冠层氮沉降和林下灌草去除, 设置4种处理, 包括: 对照(CK)、灌草去除(UR)、氮沉降(N)和氮沉降加灌草去除(N × UR)的野外控制实验, 研究土壤微生物群落结构的响应。本实验分别于2016年4月(春季)和10月(秋季)采集0-10 cm层土壤样品, 运用磷脂脂肪酸法(PLFAs)分析土壤微生物群落结构。结果表明: (1) 10月份土壤微生物总PLFAs量及其他类群土壤微生物PLFAs量显著高于4月份(P < 0.05), 真菌/细菌比值没有显著差异。土壤微生物PLFAs中细菌占优势, 其次为真菌, 放线菌的占比最小; (2)相比CK处理, UR处理下土壤微生物总PLFAs量、细菌PLFAs量、革兰氏阴性菌PLFAs量和放线菌PLFAs量有增加趋势, 但未达到显著差异水平(P > 0.05); (3)相对CK, UR、N和N × UR处理降低了4月份土壤微生物多样性(H°)和均匀度指数(J), 但提高了10月份土壤微生物多样性指数; (4)冗余分析表明, 土壤硝态氮和总磷含量与土壤微生物群落之间呈现显著相关。本研究表明土壤微生物PLFAs在各处理下都表现出明显的季节动态; 短期内林下灌草去除对土壤微生物PLFAs影响表现出一定的促进作用, 氮沉降对土壤微生物群落影响还不甚明显, 需要长期的监测研究来评估两者及其交互作用对土壤微生物群落及其功能的影响。     

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。     

北亚热带地带性森林土壤温室气体通量对土地利用方式改变和降水减少的响应

弄清土地利用和降水变化对林地土壤主要温室气体(CO₂、CH₄和N₂O)排放通量变化的影响, 是准确评估森林土壤温室气体排放能力的重要基础。该研究以常绿落叶阔叶混交林原始林、桦木(Betula luminifera)次生林和马尾松(Pinus massoniana)人工林为对象, 采用静态箱-气相色谱法研究了3种土地利用方式(常绿落叶阔叶混交林原始林、桦木次生林和马尾松人工林)和降水减少处理状况下森林土壤CO₂、CH₄和N₂O通量排放特征, 并探讨了其环境驱动机制。研究结果表明: 原始林土壤CH₄吸收通量显著高于次生林和人工林, 次生林CH₄吸收通量显著高于人工林土壤。人工林土壤CO₂排放通量显著高于原始林和次生林土壤。次生林土壤N₂O排放通量高于原始林和人工林, 但三者间差异不显著。降水减半显著抑制了3种不同土地利用方式下林地土壤CH₄吸收通量; 降水减半处理对原始林和次生林土壤CO₂排放通量均具有显著的促进作用, 而对人工林土壤CO₂排放通量具有显著的抑制作用; 降水减半处理促进了原始林和人工林林地土壤N₂O排放而抑制了次生林林地土壤N₂O排放。原始林和次生林林地土壤CH₄吸收通量随土壤温度升高显著增加, CH₄吸收通量与土壤温度均呈显著相关关系; 原始林、次生林和人工林土壤CO₂和N₂O排放通量与土壤温度均呈显著正相关关系; 土壤湿度抑制了次生林和人工林土壤CH₄吸收通量, 其CH₄吸收通量随土壤湿度增加显著减少; 原始林土壤CO₂排放通量与土壤湿度呈显著正相关关系。自然状态下, 原始林土壤N₂O排放通量与土壤湿度呈显著正相关关系, 原始林和次生林土壤N₂O排放通量与硝态氮含量呈显著相关关系。研究结果表明全球气候变化(如降水变化)和土地利用方式的转变将对北亚热带森林林地土壤温室气体排放通量产生显著的影响。     

Greenhouse gas fluxes of typical northern subtropical forest soils: Impacts of land use change and reduced precipitation

Aims It is important to study the effects of land use change and reduced precipitation on greenhouse gas fluxes (CO₂, CH₄ and N₂O) of forest soils. Methods The fluxes of CO₂, CH₄ and N₂O and their responses to environmental factors of primary forest soil, secondary forest soil and artificial forest soil under a reduced precipitation regime were explored using the static chamber and gas chromatography methods during the period from January to December in 2014. Important findings Results indicate that CH₄ uptake of primary forest soil ((-44.43 ± 8.73) μg C·m^-2·h^-1) was significantly higher than that of the secondary forest soil ((-21.64 ± 4.86) μg C·m^-2·h^-1) and the artificial forest soil ((-10.52 ± 2.11) μg C·m^-2·h^-1). CH₄ uptake of the secondary forest soil ((-21.64 ± 4.86) μg C·m^-2·h^-1) was significantly higher than that of the artificial forest ((-10.52 ± 2.11) μg C·m^-2·h^-1). CO₂ emissions of the artificial forest soil ((106.53 ± 19.33) μg C·m^-2·h^-1) were significantly higher than that of the primary forest soil ((49.50 ± 8.16) μg C·m^-2·h^-1) and the secondary forest soil ((63.50 ± 5.35) μg C·m^-2·h^-1) (p < 0.01). N₂O emissions of the secondary forest soil ((1.91 ± 1.22) μg N·m^-2·h^-1) were higher than that of the primary forest soil ((1.40 ± 0.28) μg N·m^-2·h^-1) and the artificial forest soil ((1.01 ± 0.86) μg N·m^-2·h^-1). Reduced precipitation (-50%) had a significant inhibitory effect on CH₄ uptake of the artificial forest soil, while it enhanced CO₂ emissions of the primary forest soil and the secondary forest soil. Reduced precipitation had a significant inhibitory effect on CO₂ emissions of the artificial forest soil and N₂O emissions of the secondary forest (p < 0.01). Reduced precipitation promotes N₂O emissions of the primary forest soil and the artificial forest soil. CH₄ uptake of the primary forest and the secondary forest soil increased significantly with the increase of soil temperature under natural and reduced precipitation. CO₂ and N₂O emission fluxes of the primary forest soil, secondary forest soil and artificial forest soil were positively correlated with soil temperature (p < 0.05). Soil moisture inhibited CH₄ uptake of the secondary forest soil and the artificial forest soil (p < 0.05). CO₂ emissions of the primary forest soil were significantly positively correlated with soil moisture (p < 0.05). N₂O emissions of primary forest soil and secondary forest soil were significantly correlated with the nitrate nitrogen content (p < 0.05). It was implied that reduced precipitation and land use change would have significant effects on greenhouse gas emissions of subtropical forest soils.     

Temporal changes of soil physic‐chemical properties at different soil depths during larch afforestation by multivariate analysis of covariance

Soil physic-chemical properties differ at different depths; however, differences in afforestation-induced temporal changes at different soil depths are seldom reported. By examining 19 parameters, the temporal changes and their interactions with soil depth in a large chronosequence dataset (159 plots; 636 profiles; 2544 samples) of larch plantations were checked by multivariate analysis of covariance (MANCOVA). No linear temporal changes were found in 9 parameters (N, K, N:P, available forms of N, P, K and ratios of N: available N, P: available P and K: available K), while marked linear changes were found in the rest 10 parameters. Four of them showed divergent temporal changes between surface and deep soils. At surface soils, changing rates were 262.1 g·kg⁻¹·year⁻¹ for SOM, 438.9 mg·g⁻¹·year⁻¹ for C:P, 5.3 mg·g⁻¹·year⁻¹ for C:K, and −3.23 mg·cm⁻³·year⁻¹ for bulk density, while contrary tendencies were found in deeper soils. These divergences resulted in much moderated or no changes in the overall 80-cm soil profile. The other six parameters showed significant temporal changes for overall 0–80-cm soil profile (P: −4.10 mg·kg⁻¹·year⁻¹; pH: −0.0061 unit·year⁻¹; C:N: 167.1 mg·g⁻¹·year⁻¹; K:P: 371.5 mg·g⁻¹ year⁻¹; N:K: −0.242 mg·g⁻¹·year⁻¹; EC: 0.169 μS·cm⁻¹·year⁻¹), but without significant differences at different soil depths (P > 0.05). Our findings highlight the importance of deep soils in studying physic-chemical changes of soil properties, and the temporal changes occurred in both surface and deep soils should be fully considered for forest management and soil nutrient balance.     

Responses of soil respiration with biocrust cover to water and temperature in the southeastern edge of Tengger Desert,Northwest China

Aims Soil respiration of the lands covered by biocrusts is an important component in the carbon cycle of arid, semi-arid and dry-subhumid ecosystems (drylands hereafter), and one of the key processes in the carbon cycle of drylands. However, the responses of the rate of soil respiration with biocrusts to water and temperature are uncertain in the investigations of the effects of experimental warming and precipitation patterns on CO₂ fluxes in biocrust dominated ecosystems. The objectives of this study were to investigate the relationships of carbon release from the biocrust-soil systems with water and temperature in drylands. Methods Intact soil columns with two types of biocrusts, including moss and algae-lichen crusts, were collected in a natural vegetation area in the southeastern fringe of the Tengger Desert. Open top chambers were used to simulate climate warming, and the soil respiration rate was measured under warming and non-warming treatments using an automated soil respiration system (LI-8150). Important findings Over the whole observational period (from April 2016 to July 2016), soil respiration rates varied from -0.16 to 4.69 μmol·m^-2·s^-1 for the moss crust-covered soils and from -0.21 to 5.72 μmol·m^-2·s^-1 for the algae-lichen crust-covered soils, respectively, under different rainfall events (the precipitations between 0.3-30.0 mm). The mean soil respiration rate of the moss crust-covered soils is 1.09 μmol·m^-2·s^-1, which is higher than that of the algae-lichen crust-covered soils of 0.94 μmol·m^-2·s^-1. The soil respiration rate of the two types of biocrust-covered soils showed different dynamics and spatial heterogeneities with rainfall events, and were positively correlated with precipitation. The mean soil respiration rate of the biocrust-covered soils without warming was 1.24 μmol·m^-2·s^-1, significantly higher than that with warming treatments of 0.79 μmol·m^-2·s^-1 (p < 0.05). By increasing the evaporation of soil moisture, the simulated warming impeded soil respiration. In most cases, soil temperature and soil respiration rate displayed a similar single-peak curve during the diel cycle. Our results show an approximately two hours’ lag between soil temperature at 5 cm depth and the soil respiration rate of the biocrust-covered soils during the diel cycle.     

Effects of Different Chinese Hickory Husk Returning Modes on Soil Nutrition and Microbial Community in Acid Forest Soil

Chinese hickory (Carya cathayensis Sarg.) is an important economic forest in Southeastern China. A large amount of hickory husk waste is generated every year but with a low proportion of returning. Meanwhile, intensive management has resulted in soil degradation of Chinese hickory plantations. This study aims to investigate the effects of three Chinese hickory husk returning modes on soil amendment, including soil acidity, soil nutrition, and microbial community. The field experiment carried out four treatments: control (CK), hickory husk mulching (HM), hickory husk biochar (BC), and hickory husk organic fertilizer (OF). The phospholipid fatty acid (PLFA) biomarker method was employed to determine the soil microbial community. After one year of treatment, the results showed that: (i) HM and BC significantly increased soil pH by 0.33 and 1.71 units, respectively; (ii) HM, BC and OF treatments significantly increased the soil organic carbon, alkaline nitrogen, available phosphorous, and available potassium. The OF treatment demonstrated the most significant improvement in the soil nutrient; (iii) The soil microbial biomass significantly increased in the HM, BC and OF treatments, and all microbial groups showed an increasing trend. HM treatment increased the fungal/bacterial ratio (F/B). The OF treatment significantly decreased the Shannon-Wiener diversity (H’) and evenness index (J) of the microbial community (P < 0.05). Considering the treatments effects, costs, and ease of operation, our recommended returning modes of Chinese hickory husk are mulching and organic fertilizer produced by composting with manure.     

雪腐核盘菌菌核的萌发条件与致死温度

菌核是核盘菌Sclerotinia spp.在土壤中的主要存活形式和菌核病的主要初侵染源,在土壤中可存活8年以上,其数量和存活状况直接影响着菌核病的发生和危害程度。本研究以雪腐核盘菌Sclerotinia nivalis菌株SS-TB为材料,分析了菌核萌发的影响因素、致死温度以及土壤温度对菌核存活的影响。结果表明,未成熟菌核较成熟菌核更容易萌发;菌核萌发的最佳温度为20-25℃、pH为3.0-4.0、土壤含水量为20%-45%。菌核长时间浸泡水中对其存活不利,浸泡30d以后,存活率开始急剧下降,至47d时存活率为0。雪腐核盘菌菌核具有较强的耐高温特性,随着温度和处理时间的增加,菌核萌发率呈下降趋势。菌核在水浴中85℃ 5min、80℃ 10min、75℃ 10min、70℃ 30min、65℃ 120min、60℃ 180min时全部丧失活力。在土壤温度30℃和35℃处理5周、40℃和45℃处理4周时菌核全部失去活力。该研究结果为通过水旱轮作和土壤高温处理来防治西洋参菌核病提供了理论基础。     

基于稳定同位素技术的塔里木河下游不同林龄胡杨的水分利用来源

水分是制约很多陆地生态系统植物生长和繁殖的重要因素, 在干旱地区尤为明显。利用稳定同位素技术探究塔里木河下游不同林龄胡杨(Populus euphratica)的水分来源情况, 了解生态输水背景下荒漠河岸林的水分利用循环与利用策略, 可为生态输水提供科学依据, 同时也可对同类地区的生态恢复提供借鉴。本研究通过测定塔里木河下游胡杨茎干水和各潜在水源(土壤水、地下水)的稳定氢氧同位素值(δD、δ¹⁸O), 应用多源线性混合模型(IsoSource)分析了各潜在水源对不同林龄胡杨的贡献比例, 并结合3种林龄胡杨不同土壤深度含水量的变化, 分析了胡杨的主要吸水层位。结果表明: (1)不同林龄胡杨样地的不同深度区间上的土壤水δ¹⁸O值存在显著差异(P < 0.05): 胡杨幼龄木、成熟木、过熟木木质部δ¹⁸O分别为-7.83 ± 0.07‰、-8.53 ± 0.11‰、-9.36 ± 0.21‰; 而δD值不存在显著差异(P > 0.05)。可据此来推断胡杨的主要吸水层位。(2)总体上, 三种林龄胡杨土壤水δ¹⁸O值随土壤深度增加而减小, 并趋于接近地下水的δ¹⁸O值。其中, 0-60 cm土壤水受蒸发影响比较大, 其同位素组成经历了强烈的蒸发分馏过程, 土壤含水量极少, 土壤水δ¹⁸O值偏正。(3)不同林龄胡杨所利用的水分来源不同: 胡杨幼龄木对于地表80 cm以下的土壤水以及地下水均有一定程度的利用, 对80-140 cm、140-220 cm和220-340 cm的土壤水平均利用比率依次为16.2%、21.4%和24.6%, 对地下水平均利用比率为24.5%; 成熟木主要利用220-340 cm的土壤水及地下水, 平均利用比率分别为36.9%和42.3%; 过熟木主要利用140-340 cm的土壤水及地下水, 平均利用比率分别为32.8%和49.3%。     

江西省森林净初级生产力动态变化特征及其驱动因子分析

亚热带森林生态系统具有巨大的固碳潜力。净初级生产力(NPP)在碳循环过程中具有重要的作用, 受到气候变化、大气成分、森林扰动的强度和频度、林龄等因子的综合影响, 然而目前上述各因子对亚热带森林NPP变化的贡献尚不明确, 需要鉴别森林NPP时空变化的主要驱动因子, 以准确认识亚热带森林生态系统碳循环。该文综合气象数据、年最大叶面积指数(LAI)、参考年NPP (BEPS模型模拟)、林龄、森林类型、土地覆盖、数字高程模型(DEM)、土壤质地、CO₂浓度、氮沉降等多源数据, 利用InTEC模型(Integrated Terrestrial Ecosystem Carbon-budget Model)研究亚热带典型地区江西省森林生态系统1901-2010年NPP时空动态变化特征, 通过模拟情景设计, 着重讨论1970-2010年气候变化、林龄、CO₂浓度和氮沉降对森林NPP动态变化的影响。研究结果如下: (1) InTEC模型能较好地模拟研究区NPP的时空变化; (2)江西省森林NPP 1901-2010年为(47.7 ± 4.2) Tg C·a^-1 (平均值±标准偏差), 其中20世纪70年代、80年代、90年代分别为50.7、48.8、45.4 Tg C·a^-1, 2000-2009年平均为55.2 Tg C·a^-1; 随着森林干扰后的恢复再生长, 江西省森林NPP显著上升, 2000-2009年NPP增加的森林面积占森林总面积的60%; (3) 1970-2010年, 仅考虑森林干扰因子和仅考虑非干扰因子(气候、氮沉降、CO₂浓度)情景下NPP分别为43.1和53.9 Tg C·a^-1, 比综合考虑干扰因子和非干扰因子作用下的NPP分别低估7.3 Tg C·a^-1 (低估的NPP与综合考虑干扰因子和非干扰因子作用下NPP的比值为14.5%,下同)和高估3.6 Tg C·a^-1 (7.1%); 气候因子导致平均NPP减少2.0 Tg C·a^-1 (4.7%), 氮沉降导致平均NPP增加4.5 Tg C·a^-1 (10.4%), CO₂浓度变化及耦合效应(氮沉降+ CO₂浓度变化)分别导致平均NPP增加4.4 Tg C·a^-1 (10.3%)和9.4 Tg C·a^-1 (21.8%)。     

Effects of tree species on soil organic carbon density: A common garden experiment of five temperate tree species

Aims Forest trees alter litter inputs, turnover and rhizospheric activities, modify soil physical, chemical and biological properties, and consequently affect soil organic carbon (SOC) storage and carbon sink strength. That how to select appropriate tree species in afforestation, reforestation and management practices is critical to enhancing forest carbon sequestration. The objective of this study was to determine the effects of tree species on SOC density and vertical distributions.Methods A common garden experiment with the same climate, soil, and management history was established in Maoershan Forest Ecosystem Station, Northeast China, in 2004. The experimental design was a completely randomized arrangement with twenty 25 m × 25 m plots, consisting of monocultures of five tree species, including white birch (Betula platyphylla), Manchurian walnut (Juglans mandshurica), Manchurian ash (Fraxinus mandshurica), Dahurian larch (Larix gmelinii), and Mongolian pine (Pinus sylvestris var. mongolica), each with four replicated plots. A decade after the establishment (2013-2014), we measured carbon density and related factors (i.e., bulk density, total nitrogen concentration, microbial biomass carbon, microbial biomass nitrogen, pH value) in soils of the 0-40 cm depth for these monocultures. Important findings Results showed that tree species significantly influenced the SOC density in the 0-40 cm depth (p < 0.05). SOC density in the 0-10 cm depth varied from 2.79 to 3.08 kg·m^-2, in the order of walnut > ash> birch > larch > pine, in the 10-20 cm depth from 1.56 to 2.19 kg·m^-2, in the order of pine > walnut > ash > birch > larch, in the 20-30 cm depth from 1.17 to 2.10 kg·m^-2, and in the 20-40 cm depth from 0.84 to 1.43 kg·m^-2. The greatest SOC density occurred in the birch stands in the 20-40 cm depth. The vertical distributions of SOC density varied with tree species. The percentage of SOC in the 0-10 cm depth over the total SOC in the soil profile was significantly higher in the walnut and larch stands than in others, while the percentage of SOC in the 20-40 cm depth over the total SOC was highest in the birch stands. SOC concentration and soil bulk density differed significantly among the stands of different tree species, and were negatively correlated. SOC density was positively correlated with soil microbial biomass and soil pH in the walnut, ash, and larch stands, and with total nitrogen density in all the stands. We conclude that tree species modifies soil properties and microbial activity, thereby influencing SOC density, and that different patterns of vertical distributions of SOC density among monocultures of different tree species may be attributed to varying SOC controls at each soil depth.     

Forest net primary productivity dynamics and driving forces in Jiangxi Province,China

Aims Subtropical forest ecosystem has great carbon sequestration capacity. Net primary productivity (NPP) plays a critical role in forest carbon cycle and is affected by a number of factors, including climate change, atmospheric composition, forest disturbance intensity and frequency, and forest age, etc. However, the contribution of these factors to the temporal-spatial dynamics of NPP is still not clear. Quantifying the main driving forces on the temporal-spatial dynamics of NPP for subtropical forest ecosystems is a critical foundation for understanding their carbon cycle.
Methods We utilized multi-sources dataset, including observed meteorological data, inversed annual maximum leaf area index (LAI), referenced NPP (simulated by Boreal Ecosystem Productivity Simulator (BEPS) model), forest age and forest types, land cover, digital elevation model (DEM), soil texture, CO₂ concentration and nitrogen deposition. We used the InTEC (integrated terrestrial ecosystem carbon-budget) model to simulate the NPP dynamics for forest ecosystems in Jiangxi Province during the period of 1901-2010. The effects of climate change, forest age, CO₂ concentration and nitrogen (N) deposition on forest NPP from 1970 to 2010 were discussed through designed scenarios.
Important findings (1) Validations by flux measurements and forest inventory data indicated that the InTEC model was able to capture the interannual and spatial variations of forest NPP. (2) The average forest NPP was 47.7 Tg C·a^-1 (± 4.2 Tg C·a^-1) during 1901-2010. The NPP in the 1970s, 1980s, 1990s and 2000s was 50.7, 48.8, 45.4, and 55.2 Tg C·a^-1, respectively. As forest regrows, NPP significantly increased for forests in Jiangxi Province in the 2000s, and exceed that in the 1970s for more than 60% of the forest area. (3) During 1970-2010, under the scenarios of disturbance and non-disturbance, the forest NPP were underestimated by 7.3 Tg C·a^-1 (14.5%) and overestimated by 3.6 Tg C·a^-1 (7.1%) compared to the scenarios of all disturbance and non-disturbance factors, respectively. Compared to the average NPP during 1970-2010, climate change decreased NPP by -2.0 Tg C·a^-1 (-4.7%), N deposition increased NPP by 4.5 Tg C·a^-1 (10.4%), CO₂ concentration change, and the integrated fertilization of CO₂ and N deposition increased NPP by 4.4 Tg C·a^-1 (10.3%) and 9.4 Tg C·a^-1 (21.8%), respectively.