长白落叶松林龄序列上的生物量及碳储量分配规律

由于多年来的过量采伐和重采轻育,伊春东折棱河林场人工长白落叶松林分质量普遍下降,森林生态功能严重衰退。结合对该研究地同一立地类型的人工长白落叶松林(Larix ologensis)林木各组分生物量垂直分配规律的分析,研究了其生物量在年龄序列上的分布及分配规律,为提高其林分生物量及碳储量采取相应的抚育管理措施提供一定的理论基础。结果表明,处于中龄、近熟及成熟林中的林木树干、树皮及活枝生物量所占比例受年龄影响较小,而叶生物量随林龄增大呈现明显递减变化;不同年龄长白落叶松的垂直分布规律基本一致:其树皮及树干生物量随树高增大呈现递减规律,其活枝及叶生物量主要集中分布于树冠中部,而其死枝生物量未呈现明显分布规律;长白落叶松根系生物量随着林分年龄的增大,其粗根、中根及细根所占比例呈现递减规律,而其大根所占比例随年龄的增大基本呈增大趋势。通过统计分析得出,长白落叶松生物量与林分蓄积的最优模型为:W=0.4909M+9.6624(R²=0.8893),进而估算得出:研究区域幼龄长白落叶松林分生物量为1273.72 t/hm²,碳储量为656.98 t/hm²;中龄长白落叶松林分生物量为15480.13 t/hm²,碳储量为7984.65 t/hm²;近熟、成熟龄长白落叶松林分生物量为7684.41 t/hm²,碳储量为3963.62 t/hm²。随林分结构的改善以及中龄、近熟及成熟林分的不断增加,生物量及碳储量会相应增加。     

落叶松林土壤可溶性碳、氮和官能团特征的时空变化及与土壤理化性质的关系

土壤可溶性有机碳(DOC)、可溶性有机氮(DON)及其官能团特征在土壤碳、氮循环中作用非常重要。对25个不同年龄落叶松林样地、4个深度(0-20、20-40、40-60和60-80 cm)土壤DOC、DON、有机物官能团(芳香性、分子量和疏水性)特征指标(254、260、272 nm和280 nm的单位吸光度值SUVA:吸光度值/DOC含量)和土壤理化指标(土壤全碳SOC、全氮SON、pH值、电导率、容重)进行测定,旨在探究它们的时、空变化特征及与土壤理化指标相关关系。在空间尺度上,与SOC、SON一致,表层土壤DOC、DON多显著高于深层(P<0.05),但是4个单位吸光度值SUVA₂₅₄、SUVA₂₆₀、SUVA₂₇₂和 SUVA₂₈₀均不存在差异(P>0.05);在时间尺度上,仅表层土壤DOC、SOC 和SON随落叶松年龄显著线性增长(P<0.05),而深层DOC、SOC、SON、不同层土壤DON及各官能团指标均没有显著变化(P>0.05)。可见,土壤可溶性有机物内碳的累积(7 mg kg^-1 a^-1)是SOC累积的一部分(762 mg kg^-1 a^-1),但其DON及可溶性有机物芳香性比例、分子量大小及疏水性容量等官能团特征并未受落叶松生长时间以及土壤深度的显著影响。进一步回归分析表明这些官能团指标随土壤DOC含量增加而指数下降,深层土壤同时受DON显著影响。表层土壤DOC、DON与土壤SOC、SON、土壤电导率显著正相关(P<0.05),深层相关不显著(P>0.05),而官能团指标与土壤理化性质的相关性在各个土层均不显著,显示出表层土壤可溶性有机物的量,而不是官能团组成对土壤理化性质影响显著,而深层土壤可溶性有机物量对土壤理化性质不构成显著影响。对于从可溶性组分、官能团角度,分析落叶松人工林成长过程中土壤碳、氮时空变化具有科学意义。     

我国东北土壤有机碳、无机碳含量与土壤理化性质的相关性

根据黑龙江、吉林、辽宁省和内蒙古地区相关历史资料数据,分析了我国东北表层土壤(0-50 cm)土壤相关理化性质与有机碳、无机碳的相关性,得到如下结论:土壤全氮、碱解氮、全磷、速效磷、速效钾、K⁺离子交换量、Fe₂O₃、P₂O₅、总孔隙度均与土壤有机碳含量呈显著正相关(R²=0.10-0.94, n=38-345, P<0.0001),但与土壤无机碳含量则大多呈显著负相关(R²=0.11-0.30, n=37-122, P<0.01);与此相反,土壤pH值、容重与土壤有机碳呈负相关(R²=0.36-0.42,n=41-304, P<0.0001),而与无机碳呈显著正相关(R²=0.29-0.31,n=39-125, P <0.01)。表层土壤有机碳、无机碳与土壤理化性质呈相反变化趋势的结果说明,由于土壤利用方式变化所导致的土壤理化性质改变对土壤无机碳和有机碳可能具有相反影响。在研究土壤碳平衡过程中,应该充分考虑这种关系所导致的相互补偿作用,即有机碳的增加,可能意味着无机碳的减少,或者反之。目前研究中普遍忽略无机碳的变化,可能导致生态系统碳收支计算显著偏差,所获得的经验拟合方程有利于对我国东北地区土壤碳平衡研究产生的这种偏差进行粗略估计。     

竹茶混交模式对表层土壤有机碳储量及组分的影响

为探究毛竹林下种植茶树对土壤有机碳储量与碳组分的影响,该研究以毛竹纯林、竹茶混交林和常绿阔叶林为研究对象,采集这3种林分类型的表层(0～10 cm)土壤,测定土壤有机碳(SOC)、碳组分、生物与非生物因素指标。结果表明:(1)竹茶混交林林下植物多样性相较于毛竹纯林显著降低,但其土壤有机碳密度(22.54±2.09)t·hm^-2、碳组分与毛竹纯林无显著差异(P>0.05)。竹茶混交林的矿物结合态有机碳(MOC)为(20.13±1.83)g·kg^-1,占总有机碳的92.66%。常绿阔叶林土壤有机碳密度比竹茶混交林和毛竹纯林高土壤有机碳密度分别高41.15%和41.00%(P<0.05)。(2)3种林分类型土壤微生物量碳(MBC)含量范围为0.58～3.08 g·kg^-1,土壤16S rRNA丰度范围为2.18×10¹⁰ ～5.65×10¹⁰copies·g^-1,固碳基因cbbL丰度范围为0.37×10⁸～ 1.10 ×10⁸ copies·g^-1,土壤微生物碳利用效率范围为0.03～0.28; 3种林分类型之间微生物相关指标不存在显著差异(P>0.05)。(3)3种林分类型SOC与土壤pH、砂粒含量和地上凋落物生物量呈显著负相关,与土壤黏粒含量、粉粒含量、总氮、C:N、总磷和铵态氮含量呈显著正相关(P<0.05)。(4)就不同碳组分而言,颗粒有机碳(POC)和MOC均与土壤pH、砂粒含量和根系生物量呈显著负相关,与土壤含水量、黏粒含量、粉粒含量、总氮、C:N、总磷和铵态氮含量呈显著正相关(P<0.05)。综上表明,竹茶混交改造会造成原生毛竹纯林林下植被多样性下降,但并未造成土壤碳储量下降; 而相较于常绿阔叶林,毛竹经营措施需要改进,以提升其碳汇效益。     

六盘山华北落叶松土壤有机碳沿海拔梯度的分布规律及其影响因素

以六盘山自然保护区华北落叶松林地土壤（海拔范围为1800-2700 m）为研究对象,选取1900、2100、2300、2500 m 4个海拔梯度,研究华北落叶松林土壤有机碳含量、有机碳密度沿海拔梯度的分布规律及其影响因素,以期为准确估算华北落叶松林土壤有机碳储量及其固碳效益评价提供科学依据。结果表明：（1）六盘山不同海拔梯度华北落叶松林土壤粒径范围主要集中在粗粉粒、细粉粒和极细砂粒,粘粒含量最少,不足1%。林地土壤呈中性或弱碱性,pH均值范围为6.74-8.19;除土壤pH外,其他土壤理化指标沿海拔梯度的分布差异不显著（P>0.05）。（2）在1 m的标准土壤剖面内,土壤有机碳含量变化范围为15.80-35.45 g/kg,总有机碳密度的分布在21.34-42.28 kg/m²,且深层（40-100 cm）土壤有机碳含量及其密度在各海拔梯度内的变异程度大于表层土壤。（3）随着海拔的升高,土壤有机碳含量及其密度的表聚现象逐渐不明显;同一海拔高度,土壤有机碳含量和碳密度均随土层深度的增加而逐渐降低;同一土层深度土壤有机碳含量及其密度均随海拔的升高呈先增加后减少的趋势,而在整个土壤剖面上,土壤有机碳含量及其密度在较低海拔区域（小于2100 m）的变异程度较大。（4）冗余分析（RDA）表明：土壤理化性质可以解释华北落叶松林土壤有机碳含量及其密度81.02%的变异,其中电导率是影响华北落叶松土壤有机碳沿海拔梯度变异的主导因子,占环境因子总解释量的67.4%。     

关帝山林区退化灌木林转变为华北落叶松林对生态系统碳储量的影响

针对我国大量灌木林出现退化而宜林地又日益减少的现状,在适宜种植乔木的地区,将退化灌木林转变为乔木林被认为是一种可行的植被恢复方式。以关帝山林区退化灌木次生林转变而成的不同林龄（10、18、23、27年和35年）华北落叶松（Larix principis-rupprechtii Mayr.）林为研究对象,并以相邻的退化灌木次生林为对照,探究这种转变对生态系统碳储量及其组分的影响,将为我国开展造林/再造林、林业碳汇项目等工作提供科学依据和数据支撑。与灌木林相比,造林初期的生态系统碳储量及其组分均出现不同程度的下降。10年生华北落叶松林的生态系统碳储量相对于灌木林显著下降了32.9%（P < 0.05）,但并非所有组分的下降都显著（P < 0.05）。植被碳储量下降34.7%,其植被地上和地下碳储量分别下降5.4%和70.9%,但只有植被地下碳储量是显著减少的（P < 0.05）;凋落物碳储量下降42.8%,但并不显著（P=0.71）;土壤有机碳储量（0-50 cm）显著下降32.6%（P < 0.05）,其不同土层（0-10、10-30 cm和30-50 cm）的碳储量也都出现显著减少（P < 0.05）。林龄从10年到35年,华北落叶松林生态系统碳储量增加了1.6倍,植被及其组成（地上和地下）、凋落物、土壤有机碳及其不同土层（0-10、10-30 cm和30-50 cm）等的碳储量也随之不断增加,从而使得生态系统碳储量及其组分逐渐达到并全面超过灌木林。但是,不同组分要达到灌木林的碳储量水平,需要的时间存在较大差异：土壤有机碳库 > 植被地下碳库 > 植被地上碳库,其中深层土壤有机碳 > 表层土壤有机碳（0-10 cm）。     

地上竞争对林下红松生物量分配的影响

采用整株收获法研究林下红松地上、地下生物量分配特征及地上竞争对其生物量分配和生物量相对生长的影响。结果表明,(1)将整个树冠划分为等长的上、中、下三层,活枝生物量从上层到下层逐渐增加,而针叶生物量主要集中在树冠中下层且在中下层的分布无显著差异(P>0.05),随着地下生物量逐渐增加,小细根(<2 mm)、粗细根(2-5 mm)的比例逐渐减小,而粗根(>5 mm)所占比例逐渐增大;(2)地上竞争强度与胸径、树高呈显著指数相关(P<0.001),随着竞争强度增大,胸径和树高均逐渐减小,树高胸径比与竞争强度呈显著线性相关(P<0.05),而树冠比率与竞争强度之间无显著相关性(P>0.05);(3)随着竞争强度增大,树干生物量占整株生物量的相对比例逐渐减小,而细根(小细根和粗细根)生物量相对比例逐渐增大,活枝、针叶及粗根生物量相对比例与竞争强度相关性并不显著(P>0.05);(4)红松根冠比均值为0.15且根冠比并不受地上竞争的影响,茎叶比与竞争强度的相关性亦不显著(P>0.05);(5)地上竞争显著影响红松地上各器官生物量的相对生长,且竞争强度与生物量呈显著负相关(P<0.001)。     

帽儿山干扰系列次生林碳密度恢复

干扰作为森林恢复和生态演替的重要影响因子,通过其改变植被群落的组成和微环境,进而影响森林生态系统碳动态及固碳潜力。针对帽儿山地区阔叶红松原始林不同时期皆伐后形成的次生林干扰系列,包括林木采伐一次(NS,林龄56a)、采伐两次(MS,林龄25a)和采伐两次且扰动表层土壤(YD,林龄15a)的次生林,采用森林清查和异速生长方程结合的方法,旨在量化干扰方式对温带森林恢复进程中生态系统碳密度及分配格局的影响。结果表明：YD、MS和NS的0—50 cm各层次土壤有机碳含量的波动范围依次分别为10.46—29.27 mg/g、6.37—108.40 mg/g、5.21—114.34 mg/g;且随土层的加深土壤有机碳含量显著降低。表层土壤(0—20 cm)有机碳含量在各干扰处理间存在显著差异(P<0.01),而深层土壤有机碳含量差异不显著;土壤有机碳含量与容重呈显著负相关关系。表层土壤有机碳密度占土壤总有机碳密度(0—100 cm)的50%以上,YD的表层土壤有机碳密度(30.91 t/hm²)显著低于MS(54.09 t/hm²)和NS(55.1...     

桂北不同林龄桉树人工林土壤碳库管理指数和碳组分的变化特征

采用时空互代法,以广西北部低山丘陵地区不同林龄(1、2、3、4、5和8 a)桉树人工林为研究对象,探讨林龄对桉树人工林地土壤碳库管理指数的影响及其规律。结果表明:(1)随着林龄的增加,土壤有机碳总体表现为增加的趋势,1～8 a桉树土壤有机碳范围在5.79～15.57 g· kg^-1之间,随着土层的加深而降低; 0～40 cm土层土壤有机碳平均含量表现为8 a>5 a>3 a>4 a>2 a>1 a。(2)土壤非活性有机碳、碳储量随林龄和土层的变化规律与土壤有机碳基本一致。土壤活性有机碳含量大小依次表现为8 a>5 a>4 a>3 a>2 a>1 a,占土壤有机碳的比例随林龄变化无明显规律,8 a和其他林龄间均具有显著差异。(3)碳库管理指数随林龄增加整体呈上升趋势,8 a桉树人工林土壤碳组分含量及碳库管理指数均高于10 a对照马尾松林。碳库管理指数与土壤有机碳、非活性有机碳、活性有机碳、碳储量、碳库活度、全氮、容重呈极显著或显著的相关性,不同林龄和土层间碳库管理指数有差异性。适当延长桉树人工林的轮伐周期,减少人为对林地凋落物和林下植被的干扰,将有利于提高土壤的有机碳含量,进而改善土壤质量。     

武夷山自然保护区不同海拔甜槠天然林土壤有机碳变化特征及影响因素

为揭示中亚热带常绿阔叶林建群种--甜槠天然林不同海拔土壤有机碳含量垂直分布差异及影响机制，以武夷山自然保护区甜槠天然林单一植被类型为研究对象，在其集中分布的5个海拔梯度（540、700、850、1022、1200 m）范围内设置固定样地，测定每个海拔梯度不同深度土层土壤因子（土壤全氮、全磷、土壤pH值、容重、土壤有机质、粉粒、砂粒、粘粒）、气候因子（土壤温度）、植被因子（细根生物量）及土壤有机碳含量等指标，分析了土壤有机碳沿海拔及垂直土层分布特征，并在主成分分析基础上构建了基于主控因子的线性回归模型。结果表明：（1）同一海拔高度，土壤有机碳含量在土壤垂直剖面分布具有明显的"表聚性"现象；同一土层深度，随着海拔升高，土壤有机碳含量逐渐增加，但增幅随土层深度增加而减小，高海拔地区有助于土壤有机碳的固存；（2）不同土层土壤有机碳含量与海拔、土壤全氮、土壤含水量、土壤粉粒呈极显著正相关（P<0.01），与土壤温度、土壤容重、土壤粘粒、砂粒呈极显著负相关（P<0.01）；土壤细根生物量、土壤有机质与土壤有机碳含量在土壤表层（0-10、10-20 cm）呈极显著（P<0.01）或显著正相关（P<0.05）；土壤pH值、土壤砂粒与土壤有机碳含量在20-30 cm土层呈显著负相关（P<0.05），但与其他土层关系不显著（P>0.05）；海拔因素是影响土壤有机碳含量分布的主要因素，其次为土壤因素，植被因素主要影响土壤表层有机碳含量分布。（3）海拔因素能通过影响与土壤有机碳形成和转化的因子及改变土壤有机碳的累积和分解速率，对土壤有机碳的分布产生影响。（4）多元线性回归模型拟合R²高于一元线性回归模型拟合R²，能解释土壤有机碳含量变异的82.1%-98.1%。由此可见，不同环境因子组合可以更好的解释不同土层土壤有机碳含量随海拔梯度的变异。     

内蒙古大青山华北落叶松人工林乔木层碳密度年增量与气象因子的关系

以内蒙古大青山华北落叶松人工林为研究对象，通过树木年轮法和异速生长方程法，计算华北落叶松人工林生物量、碳密度及其年增量的年际变化，并分析碳密度年增量与气温、降水、湿度等气象因子的关系。研究发现：华北落叶松人工林碳密度随着林龄增加的变化曲线可用逻辑斯谛生长方程拟合，在1979—2016年，碳密度由1.05 t/hm~2增加到76.83 t/hm~2。华北落叶松人工林碳密度年增量存在显著的年际差异，总体上呈波动性的“慢-快-慢”趋势，碳密度年增量最高达到3.72 t hm^-2 a^-1,多年平均为2.05 t hm^-2 a^-1。华北落叶松人工林碳密度年增量与上年6月和当年6—8月的降水量显著正相关，与上年11月降水显著负相关；与上年11—12月、当年2月和12月的温度和大气相对湿度分别呈正、负相关；与上年7月、9月及当年8—9月的温度保持显著或极显著正相关。研究表明，温度、湿度和降水主要通过生长季的长短和土壤可利用水分及冬季的雪害冻害影响华北落叶松人工林的碳汇潜力，在未来该地区升温增湿的气候变化趋势下华北...     

黄土丘陵区油松人工林生态系统碳密度及其分配

以子午岭林区油松(Pinus tabulaeformis)人工林为研究对象,通过野外调查与室内分析,探讨了幼龄9a、中龄23a、近熟33a和成熟47a等不同林龄林分的生物量、含碳率、碳密度及其时空分布特征。结果表明:(1)油松林各群落平均生物量大小排序为:乔木层(76.12 t/hm2)枯落物层(14.56 t/hm2)林下植被层(3.66 t/hm2)。乔木层生物量随林龄增大而持续增加,各器官中树干所占比例最大(38%—46%),其次为叶和根,枝和皮所占比例最小;林下植被层生物量随林龄增大呈先降低后增加趋势;枯落物层生物量随林龄增大则明显增加。(2)油松乔木、林下灌木、草本、枯落物平均含碳率依次为50.2%、44.5%、43.8%和40.6%。林龄对乔木各器官含碳率无显著影响,不同器官之间含碳率存在显著性差异,具体表现为叶(53.3%)枝(51.4%)皮(50.6%)干(49.8%)根(47.3%);灌木各器官含碳率表现为枝(46.0%)叶(44.8%)根(42.5%),草本则是地上(45.2%)地下(40.2%)。土壤(0—100 cm)含碳率在0.3%—2.7%之间,且具有明显的垂直分布特征:表层含碳率高,并随土壤深度的增加逐渐降低。(3)9、23、33和47年生油松林生态系统碳密度分别为70.49、100.48、167.71和144.26 t/hm2,其空间分布序列表现为土壤层植被层枯落物层,且植被层和土壤层是油松人工林的主要碳库。林龄是影响油松林木及群落碳密度积累的主导因子之一。随林龄增加,土壤碳密度所占生态系统碳密度份额逐渐降低,乔木层和枯落物层则逐渐增加。     

Changes in soil organic carbon,nitrogen, pH and bulk density with the development of larch (Larix gmelinii) plantations in China

Under the government of China's environmental program known as Returning Farmland To Forests (RFTF), about 28 million hectares of farmland have been converted to tree plantation. This has led to a large accumulation of biomass carbon, but less is known about underground carbon‐related processes. One permanent plot (25 years of observation) and four chronosequence plot series comprising 159 plots of larch (Larix gmelinii) plantations in northeastern China were studied. Both methods found significant soil organic carbon (SOC) accumulation (96.4 g C m^?2 yr^?1) and bulk density decrease (5.7 mg cm^?3 yr^?1) in the surface soil layer (0–20 cm), but no consistent changes in deeper layers, indicating that larch planting under the RFTF program can increase SOC storage and improve the physical properties of surface soil. Nitrogen depletion (4.1–4.3 g m^?2 yr^?1), soil acidification (0.007–0.022 pH units yr^?1) and carbon/nitrogen (C/N) ratio increase (0.16–0.46 per year) were observed in lessive soil, whereas no significant changes were found in typical dark‐brown forest soil. This SOC accumulation rate (96.4 g m^?2 yr^?1) can take 39% of the total carbon sink capacity [net ecosystem exchange (NEE)] of larch forests in this region and the total soil carbon sequestration could be 87 Tg carbon within 20 years of plantation by approximating all larch plantations in northeastern China (4.5 Mha), showing the importance of soil carbon accumulation in the ecosystem carbon balance. By comparison with the rates of these processes in agricultural use, the RFTF program of reversing land use for agriculture will rehabilitate SOC, soil fertility and bulk density slowly (< 69% of the depletion rate in agricultural use), so that a much longer duration is needed to rehabilitate the underground function of soil via the RFTF program. Global forest plantations on abandoned farmland or function to protecting farmland are of steady growth and our findings may be important for understanding their underground carbon processes.     

落叶松人工林生物量模型研究

以不同年龄、不同密度的落叶松（Larix olgensis）人工林为研究对象,基于19块标准地95株标准木的树干解析、枝解析的生物量数据,研究不同大小树木因子（胸径、树高、冠幅等）与单木各分量（树干、枝、叶）生物量之间的关系,应用统计分析软件建立落叶松单木各部分生物量的回归模型。利用单木各部分生物量回归模型方程估测落叶松人工林各林分的总生物量,并分析了不同年龄及林分密度下林分生物量的变化规律：林分的生物量随年龄的增加而不断增长,树干的生物量的比例是最大的,同时也是随着年龄的增长而不断的增加,而树枝和树叶的生物量的比例比较小,林分的生物量随林分密度的增加而不断增加。最后建立林分生物量模型,为落叶松人工林的研究提供基础资料,为了解落叶松人工林的生产力,对其进行合理经营提供科学依据。     

南亚热带米老排人工林碳贮量及其分配特征

米老排是我国南方速生用材树种,研究米老排(Mytilaria laosensis)人工林碳贮量与碳分配的规律,可为评价米老排人工林的固碳能力与发展人工林多目标经营提供科学依据。采用样地测定的方法,对南亚热带米老排人工林不同器官碳浓度、碳贮量及分配特征进行了研究。结果表明:不同器官碳浓度均值的变化范围为:51.73%—55.75%,各器官碳浓度大小为:新叶>新枝>老叶>树干>老枝>根桩>粗根>细根;凋落物碳浓度为未分解层>半分解层;0—100 cm土壤碳浓度随深度增加而降低,变化范围为0.62%—4.10%。20年生米老排人工林总碳贮量为331.61 t/hm2,乔木层,凋落物层和土壤层的碳贮量分别为154.07、2.74和174.80 t/hm2。年均总固碳量为14.77 t/hm2,折合CO2量为54.16 t,其中乔木层、凋落物层和土壤层所占比例分别为60.73%,6.16%和33.11%。     

Changes in Biomass Carbon and Soil Organic Carbon Stocks following the Conversion from a Secondary Coniferous Forest to a Pine Plantation

The objectives of this study were to estimate changes of tree carbon (C) and soil organic carbon (SOC) stock following a conversion in land use, an issue that has been only insufficiently addressed. For this study, we examined a chronosequence of 2 to 54-year-old Pinus kesiya var. langbianensis plantations that replaced the original secondary coniferous forest (SCF) in Southwest China due to clearing. C stocks considered here consisted of tree, understory, litter, and SOC (0–1 m). The results showed that tree C stocks ranged from 0.02±0.001 Mg C ha^-1 to 141.43±5.29 Mg C ha^-1, and increased gradually with the stand age. Accumulation of tree C stocks occurred in 20 years after reforestaion and C stock level recoverd to SCF. The maximum of understory C stock was found in a 5-year-old stand (6.74±0.7 Mg C ha^-1) with 5.8 times that of SCF, thereafter, understory C stock decreased with the growth of plantation. Litter C stock had no difference excluding effects of prescribed burning. Tree C stock exhibited a significant decline in the 2, 5-year-old stand following the conversion to plantation, but later, increased until a steady state-level in the 20, 26-year-old stand. The SOC stocks ranged from 81.08±10.13 Mg C ha^-1 to 160.38±17.96 Mg C ha^-1. Reforestation significantly decreased SOC stocks of plantation in the 2-year-old stand which lost 42.29 Mg C ha^-1 in the 1 m soil depth compared with SCF by reason of soil disturbance from sites preparation, but then subsequently recovered to SCF level. SOC stocks of SCF had no significant difference with other plantation. The surface profile (0–0.1 m) contained s higher SOC stocks than deeper soil depth. C stock associated with tree biomass represented a higher proportion than SOC stocks as stand development proceeded.     

Comparing soil organic carbon dynamics in plantation and secondary forest in wet tropics in Puerto Rico

We compared the soil carbon dynamics between a pine plantation and a secondary forest, both of which originated from the same farmland abandoned in 1976 with the same cropping history and soil conditions, in the wet tropics in Puerto Rico from July 1996 to June 1997. We found that the secondary forest accumulated the heavy‐fraction organic carbon (HF‐OC) measured by the density fractionation technique, more efficiently than the tree plantation did. Although there was no significant difference in total soil organic carbon (SOC) between the plantation (5.59±0.09 kg m^?2) and the secondary forest (5.68±0.16 kg m^?2), the proportion of HF‐OC carbon to the total SOC was significantly higher in the secondary forest (61%) than in the plantation (45%) (P<0.05). Forest floor mass and aboveground litterfall in the plantation were 168% and 22.8% greater than those in the secondary forest, respectively, while the decomposition rate of leaf litter in the plantation was 23.3% lower than that in the secondary forest. The annual mean soil respirations in the plantation and the secondary forest were 2.32±0.15 and 2.65±0.18 g C m^?2 day^?1, respectively, with a consistently higher rate in the secondary forest than in the plantation throughout the year. Microbial biomass measured by fumigation–incubation method demonstrated a strong seasonal variation in the secondary forest with 804 mg kg^?1 in the wet season and 460 mg kg^?1 in the dry season. However, the seasonal change of microbial biomass in the plantation was less significant. Our results suggested that secondary forests could stock more long‐term SOC than the plantations in the wet tropics because the naturally generated secondary forest accumulated more HF‐OC than the managed plantation.     

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.     

Does tree species composition affect soil CO<Subscript>2</Subscript> emission and soil organic carbon storage in plantations?

Key message

Mixed tree plantations are potential silvicultural systems to increase soil carbon storage through altering litter and root inputs and soil physiochemical properties.

Abstract

Afforestation and reforestation are major strategies for global climate change mitigation. Different tree species composition can induce diverse changes in soil CO₂ emission and soil carbon sequestration in tree plantation. This study employed three plantations of monoculture and mixed Pinus yunnanensis and Eucalyptus globulus to estimate the effect of tree species composition on soil CO₂ emission and soil organic carbon storage in subtropical China. We found that tree species composition had a significant effect on the soil CO₂ emission and soil organic carbon storage. Soil CO₂ emission was lower in the mixed plantation than in the P. yunnanensis plantation, whereas it was higher than in the E. globulus plantation. Differences in soil CO₂ emission among the three plantations were determined by leaf litterfall mass, fine root biomass, soil available nitrogen, pH, soil bulk density, and soil C:N ratio. Soil organic carbon storage was 34.5 and 23.2 % higher in the mixed plantation than in the P. yunnanensis and E. globulus plantations, respectively. Higher soil organic carbon stock in the mixed plantation was attributed to lower C/N ratio of leaf litter and soil, greater fine root biomass and soil organic carbon content, and lower soil CO₂ emission. We conclude that mixed tree plantation can enhance soil carbon sequestration, but can decrease or increase soil CO₂ emission through altering litter and root inputs and soil physiochemical properties.