东北典型森林土壤呼吸的模拟——IBIS模型的局域化应用

集成生物圈模拟器(IBIS)将陆地生态系统的生态学过程与相关的生物物理和生理学过程统一起来,代表了生态系统碳循环模拟模型的研究方向。将IBIS-2.6进行适当改造用于中国东北地区的6种典型森林类型(红松林、落叶松林、杨桦林、硬阔叶林、蒙古栎林和杂木林)的土壤呼吸、根际呼吸和异养呼吸估算,并以实测数据作验证。2004-2005年土壤呼吸、根际呼吸和异养呼吸年通量的模拟结果与实测值吻合较好,模拟偏差变动范围分别为:-5%-21%、-2%-16%和-16%-45%。土壤呼吸模拟值与实测值之间的差异不显著(P0.05),两者间的相关系数以杂木林最低(0.362)、硬阔叶林最高(0.917)。除了春末夏初的土壤呼吸迅速升高过程外,模型能较好的捕捉土壤呼吸的季节动态。研究为IBIS模型的局域化应用奠定了基础,并表明经过改造的IBIS可以用于特定的森林生态系统水平的土壤呼吸模拟估测。     

中国东部亚热带森林土壤呼吸的时空格局

土壤呼吸是陆地碳循环中仅次于全球总初级生产力的第二大碳通量途径, 揭示土壤呼吸的时空格局对整个陆地碳循环具有重要意义。该文在中国东部亚热带季风气候区, 按纬度梯度由南向北选取深圳梧桐山、杨东山十二度水保护区、宁波天童山3个区域作为研究对象, 于2009年8月至2010年10月测定了不同季节各个区域内代表性植被类型的土壤呼吸速率及地下5 cm处土壤温度, 旨在初步了解中国东部亚热带森林地区土壤呼吸的时空格局及其影响因素。结果显示: 3个区域的土壤呼吸速率均存在显著的季节变化, 其变幅为2.64-6.24 μmol CO₂·m ^-2·s^-1, 总体趋势和地下5 cm处土壤温度的季节变化一致, 均为夏季最高冬季最低; 土壤温度的变化可以解释不同样地土壤呼吸季节变化的58.3%-90.2%; 各样地全年的Q₁₀值从1.56到3.27; 通过离样地最近的气象站点的日平均气温与试验样地地下5 cm处土壤温度之间的线性正相关关系推算出日土壤温度的变化, 利用土壤呼吸速率和地下5 cm处土壤温度之间的指数关系, 估算出各样地全年的土壤CO₂通量为1 077-2 058 g C·m^-2·a^-1, 在全球所有生态系统类型中处于较高水平。     

北京山区不同植被类型的土壤呼吸特征及其温度敏感性

土壤呼吸作为陆地生态系统碳循环的重要组成部分,是生态系统碳循环研究中的热点问题.土壤呼吸温度敏感性(Q₁₀)是估算土壤呼吸对全球变暖的反馈参数,研究不同植被类型的Q₁₀对评估森林生态系统碳收支具有重要意义.本研究以北京山区典型植被类型侧柏、油松和栓皮栎为研究对象,通过测定生长季内3种植被类型的土壤理化性质、土壤水热因素以及土壤呼吸速率(R_s)的变化,探究不同植被类型下的土壤呼吸特征及温度敏感性.结果表明:3种主要植被类型的R_s在生长季内与土壤温度、湿度的变化趋势相似,均呈现先升高后降低的单峰变化,R_s在4月初最低(0.45 μmol·m^-2·s^-1),随后逐渐增大,在7月初达到峰值(3.95 μmol·m^-2·s^-1),然后逐渐降低,3种植被类型的R_s和Q₁₀值均存在显著差异.土壤温度和湿度是土壤呼吸的重要影响因素,两者与R_s拟合的回归模型可以解析土壤呼吸速率48.1%～56.7%的变化.北京山区的Q₁₀值在2.05～3.19,在同一植被类型下,Q₁₀值与土壤有机碳含量呈显著负相关(R²>0.9),植被类型、海拔和土壤有机碳含量是造成不同植被类型Q₁₀值差异的重要原因.     

干旱半干旱区不同环境因素对土壤呼吸影响研究进展

土壤呼吸是全球陆地生态系统碳循环的重要环节,也是全球气候变化的关键生态过程。阐明和探讨影响土壤呼吸的各类环境因素,对准确评估陆地生态系统碳收支具有重要意义。干旱半干旱区是陆地生态系统的重要组成部分,研究该区域影响土壤呼吸的环境因素有助于深刻了解干旱半干旱区土壤碳循环过程。就土壤温度、土壤水分、降水、土壤有机质等非生物因子及植被类型、地上、地下生物量、土壤凋落物等生物因子两个方面对土壤呼吸的影响进行了综述。以干旱半干旱区的研究进展为主要论述对象,在上述因素中重点阐述了土壤温度、水分及其耦合作用下土壤呼吸的响应,并就土壤呼吸的Q10值及各影响因素间的交互作用进行归纳总结。在此基础上,说明了土壤温度和水分是影响干旱半干旱区土壤呼吸的主要因素。为了更准确的估算干旱半干旱区土壤呼吸速率,综合分析多种因子的交互影响,提出目前土壤呼吸研究存在的问题和今后重点关注的方向:1)不同尺度下干旱半干旱区土壤呼吸的研究;2)荒漠生态系统土壤呼吸研究;3)非生长季土壤呼吸研究;4)多因素协同作用土壤呼吸模型建立;5)测量方法的改进与完善。     

鼎湖山三种主要植被类型土壤碳释放研究

土壤呼吸是土壤微生物活性和土壤肥力一个重要指标 ,是土壤碳流通的一个主要过程 ,也是陆地生态系统碳循环的一个关键部分 ,对研究全球变化非常重要。国内土壤呼吸的研究主要集中在北京山地温带林区、尖峰岭热带森林及东北羊草草原和中亚热带等地 ,南亚热带地区森林土壤呼吸尚无报道。选取南亚热带鼎湖山自然保护区森林演替系列中的 3种主要植被类型 (季风常绿阔叶林 ,针阔叶混交林和马尾松林 )为研究对象 ,研究了土壤呼吸和与之相关的土壤微生物生物量、土壤温度和土壤含水量以及他们之间的关系。结果表明 ,季风常绿阔叶林、针阔叶混交林和马尾松林年均土壤呼吸速率依次是 477.9,435 .4,42 9.5 mg CO2 · m- 2 ·h- 1,土壤呼吸速率与土壤温度的季节变化规律接近 ;3种植被类型土壤微生物生物量变化规律与土壤呼吸变化规律一致 ,季风常绿阔叶林最高 ,马尾松林最低 ,土壤微生物量高的土壤中碳周转量较大 ,碳素周转还带动了其他营养元素周转 ,有利于生态系统生存和持续发展 ;季风常绿阔叶林、针阔叶混交林和针叶林代谢熵依次是 0 .5 8～ 0 .60 ,0 .92～ 1 .0 0 ,1 .30～ 1 .35 ,表明 3种植被类型土壤中土壤微生物对土壤碳的利用效率依次降低。     

短期氮添加对东灵山三种森林土壤呼吸的影响

为了分析氮沉降对我国温带地区森林土壤碳循环的影响,以北京东灵山的阔叶林(辽东栎林)和针叶林(华北落叶松林和油松林)为研究对象,通过模拟氮沉降的方式(10g N·m-2·a-1,大约5倍于大气氮沉降速率),探讨了不同温带森林土壤呼吸对氮沉降的短期响应。结果表明:短期氮添加降低了阔叶林土壤呼吸速率,而提高了针叶林土壤呼吸速率,但其短期效应未达到显著性水平。不同森林类型间,土壤呼吸速率(P0.001)和生长季土壤呼吸释放总量(P0.001)均存在显著差异,整体表现为:辽东栎林油松林华北落叶松林,土壤温度是引起不同森林类型间土壤呼吸差异的主要因素。温度-水分双因素模型可以较好地模拟野外条件下3种森林类型土壤呼吸与温度和水分间的关系,解释率约为47%~87%。此外,氮添加可以改变土壤呼吸对温度和水分变化的响应:氮添加后在较高温度且较低水分情况下,土壤呼吸速率明显上升,此时土壤呼吸对温度变化更加敏感。实验结果揭示了氮沉降对我国温带地区不同森林类型土壤呼吸的影响,但其复杂的影响机制仍有待进一步研究。     

亚热带林分土壤呼吸及其与土壤温湿度关系的模型模拟

利用Li-6400-09系统,对我国亚热带地区3种主要林分类型(常绿阔叶林、杉木林和毛竹林)的土壤呼吸和土壤温、湿度进行了野外测定,并采用多种模型对土壤呼吸与土壤温、湿度的关系进行拟合.结果表明:毛竹林、常绿阔叶林和杉木林的土壤呼吸碳通量分别为12.84、11.70和7.12tC.hm-2.a-1;3种林型土壤呼吸具有相似的时间变化格局,其日变化均在11:00—12:00达到峰值,1:00—3:00最小;季节变化中,7、8月达到峰值,12月和翌年1月最小;Van′tHoff模型和LloydandTaylor方程在描述土壤呼吸与土壤温度的相关性时差异不大,但LloydandTaylor模拟得出的土壤呼吸值小于实测值;二次项模型和幂函数模型能较好地模拟土壤呼吸与含水量的关系,土壤含水量对土壤呼吸具有双向调节作用,但只有杉木林二者相关性达到显著水平;土壤水热双因子模型比单因子模型能更有效地描述土壤呼吸对土壤温、湿度协同变化的响应特征;协方差分析消除土壤温度、土壤含水量的影响后,植被类型对土壤呼吸的影响达到显著水平(R2=0.541);空气温度、空气相对湿度和光合辐射也在不同程度上影响着土壤呼吸变化,且空气温度的影响达到显著水平.     

干旱区杨树、榆树人工防护林地土壤CO2释放通量研究

土壤呼吸是陆地生态系统碳循环的重要组成部分。随着全球气候变暖趋势逐渐明显, 土壤呼吸的时空变异及其对温度变化的响应已成为生态学研究的重要内容之一。利用LI-8100自动土壤CO₂通量测量系统, 连续两年生长季测定了准噶尔盆地新垦绿洲杨树(Populus sp.)、榆树(Ulmus pumila)人工防护林地土壤呼吸的时间动态, 并分析了土壤水热因子及光合作用对土壤呼吸的影响。研究结果表明: 两种林分土壤呼吸日变化波动呈现一定的不规则性; 季节变化表现为明显的单峰格局。杨树林地土壤呼吸速率显著高于榆树林地, 生长季平均土壤呼吸速率分别为3.71和1.82 μmol CO₂·m^-2·s^-1。两种林分土壤呼吸的季节变化与气温、不同深度层次土壤温度间均呈显著的指数相关, 而与土壤含水量之间相关不显著。50和35 cm土壤温度可以分别解释两种林分土壤呼吸时间变化的78.5%和64.4%, 与土壤温度和含水量的共同解释率接近。林分间土壤呼吸速率差异受到林木生长状况、光合作用及土壤盐分等的影响。研究结果初步阐明了准噶尔盆地干旱区典型绿洲防护林植被土壤呼吸的季节动态特征及主要影响因子, 为进一步揭示该区域林地土壤碳循环特点提供了一定的理论基础。     

陆地生态系统碳密度格局研究概述

 准确了解陆地生态系统中碳密度的时空格局及其影响因子和作用机制,对于估算和预测不同类型生态系统中的植被和土壤的碳存储能力、判定碳汇、制定缓解全球变化的合理政策措施,具有重要意义。该文综述了现有研究中发现的世界陆地生态系统碳密度空间分布的地带性规律及中国陆地生态系统碳密度格局的独特特点。在全球尺度上,植被碳密度分布与植物生物量格局基本一致,除北方森林外其余大部分随纬度升高而减小;土壤碳密度则随纬度升高而增大。陆地生态系统中北方森林和热带森林的总体碳密度最高,不同的是,前者的碳主要集中在土壤中,而后者则集中在植被中。但在区域尺度上,由于气候、地形及人类活动影响,这种规律性可能会发生变化甚至不起作用。水热条件、土壤养分、生物多样性、气候和大气CO2浓度的变化以及土地利用与覆盖变化等是碳密度空间格局形成和发生变化的驱动因子。在某一特定区域,它们通过直接或间接提高植被净初级生产力,抑制呼吸和分解作用来增加陆地生态系统碳密度。综合分析特定时空条件下各因子对碳存储量的影响是解释碳密度分布现状,预测碳密度格局变化的关键,但目前的研究对各项驱动因子的作用机制、影响强度及多个因子间的相互作用仍不是很清楚,需要加强该方面的研究力度。碳密度研究中的数据获取、机理分析和过程模拟等方面仍存在很大的不确定性,因此有必要建立规范统一的碳密度测量估算系统和更为精准有效的估算模型,进行多尺度、多精度水平的综合研究。     

Effects of warming on soil respiration during the non-growing seasons in a semiarid temperate steppe

尽管许多研究认为增温对陆地生态系统非生长季土壤呼吸的影响非常重要,但是关于这一问题仍缺乏充分的理解。本论文研究了非生长季增温对温带半干旱草原土壤呼吸的影响,并探讨了其影响机制。本实验位于温带半干旱典型草原,包括10对样地,每对样地包括一个对照和模拟增温处理。模拟增温样地自2014年10月开始,采用开顶箱(OTC)进行。2014年10月到2015年4月,2015年10月到2016年4月期间每月测定几次土壤呼吸、土壤温度与土壤湿度;并测定0-20 cm微生物量碳(MBC)、微生物量氮(MBN)和土壤速效氮。采用重复测量方差和成对t检验方法分析增温、时间及其交互作用对土壤呼吸的影响。采用简单回归确定各指标之间的因果关系。结果表明,对照样地非生长季平均土壤呼吸速率为0.24 µmol m^-2 s^-1,约占当地生长季碳通量的14.4%。模拟增温在两个非生长季使土壤温度和土壤呼吸分别比对照样地提高了1.48°C (P < 0.001)和42.1% (P < 0.01)。2015-2016年非生长季模拟增温降低了0.66%的土壤湿度,降低幅度不显著。模拟增温处理下2015-2016年非生长季MBC和MBN分别显著提高了19.72%和20.99% (P < 0.05)。此外,研究结果还表明,土壤温度、MBC和MBN的变化调控了土壤呼吸对模拟增温的响应。本结果揭示非生长季土壤呼吸变化能影响碳循环的其它组分,并可以有效促进气候变化背景下陆地生态系统碳循环的模型预测。     

Spatial–temporal variation in soil respiration in an oak–grass savanna ecosystem in California and its partitioning into autotrophic and heterotrophic components

The spatial upscaling of soil respiration from field measurements to ecosystem levels will be biased without studying its spatial variation. We took advantage of the unique spatial gradients of an oak–grass savanna ecosystem in California, with widely spaced oak trees overlying a grass layer, to study the spatial variation in soil respiration and to use these natural gradients to partition soil respiration according to its autotrophic and heterotrophic components. We measured soil respiration along a 42.5 m transect between two oak trees in 2001 and 2002, and found that soil respiration under tree canopies decreased with distance from its base. In the open area, tree roots have no influence on soil respiration. Seasonally, soil respiration increased in spring until late April, and decreased in summer following the decrease in soil moisture content, despite the further increase in soil temperature. Soil respiration significantly increased following the rain events in autumn. During the grass growing season between November and mid-May, the average of CO₂ efflux under trees was 2.29 μmol m⁻² s⁻¹, while CO₂ efflux from the open area was 1.40 μmol m⁻² s⁻¹. We deduced that oak root respiration averaged as 0.89 μmol m⁻² s⁻¹, accounting for 39% of total soil respiration (oak root + grass root + microbes). During the dry season between mid-May and October, the average of CO₂ efflux under trees was 0.87 μmol m⁻² s⁻¹, while CO₂ efflux from the open areas was 0.51 μmol m⁻² s⁻¹. Oak root respiration was 0.36 μmol m⁻² s⁻¹, accounting for 41% of total soil respiration (oak root + microbes). The seasonal pattern of soil CO₂ efflux under trees and in open areas was simulated by a bi-variable model driven by soil temperature and moisture. The diurnal pattern was influenced by tree physiology as well. Based on the spatial gradient of soil respiration, spatial analysis of crown closure and the simulation model, we spatially and temporally upscaled chamber measurements to the ecosystem scale. We estimated that the cumulative soil respiration in 2002 was 394 gC m⁻² year⁻¹ in the open area and 616 gC m⁻² year⁻¹ under trees with a site-average of 488 gC m⁻² year⁻¹.     

太湖流域典型稻麦轮作农田生态系统碳交换及影响因素

利用涡度相关技术观测太湖流域典型稻麦轮作农田生态系统2a净生态系统碳交换(NEE)变化过程,分析其碳交换特征及影响机理,结果表明:太湖流域典型稻麦轮作农田年NEE为-749.49—-785.38 g C m-2a-1,考虑作物籽粒碳和秸秆还田后净吸收88.12 g C m-2a-1,为弱碳汇;稻/麦季日均NEE和白天NEE季节变化直接受作物植被生长影响;麦季夜间NEE与10 cm土壤温度呈显著指数关系,2012/2013年温度敏感系数(Q10)分别为3.03和2.67;当土壤水分低于田间持水量时,麦季夜间NEE主要受土壤温度影响,反之,夜间NEE受土壤温度和水分双重影响;降水对麦季夜间NEE有短时的激发效应;稻季淹水对土壤呼吸产生较明显的阻滞效应,降低了夜间NEE对土壤温度的敏感性,2012和2013年分别为1.88和1.39,稻季淹水与烤田交替变化对土壤呼吸产生明显的抑制或激发的短时效应。     

Productivity overshadows temperature in determining soil and ecosystem respiration across European forests

This paper presents CO₂ flux data from 18 forest ecosystems, studied in the European Union funded EUROFLUX project. Overall, mean annual gross primary productivity (GPP, the total amount of carbon (C) fixed during photosynthesis) of these forests was 1380 ± 330 gC m^?2 y^?1 (mean ±SD). On average, 80% of GPP was respired by autotrophs and heterotrophs and released back into the atmosphere (total ecosystem respiration, TER = 1100 ± 260 gC m^?2 y^?1). Mean annual soil respiration (SR) was 760 ± 340 gC m^?2 y^?1 (55% of GPP and 69% of TER). Among the investigated forests, large differences were observed in annual SR and TER that were not correlated with mean annual temperature. However, a significant correlation was observed between annual SR and TER and GPP among the relatively undisturbed forests. On the assumption that (i) root respiration is constrained by the allocation of photosynthates to the roots, which is coupled to productivity, and that (ii) the largest fraction of heterotrophic soil respiration originates from decomposition of young organic matter (leaves, fine roots), whose availability also depends on primary productivity, it is hypothesized that differences in SR among forests are likely to depend more on productivity than on temperature. At sites where soil disturbance has occurred (e.g. ploughing, drainage), soil espiration was a larger component of the ecosystem C budget and deviated from the relationship between annual SR (and TER) and GPP observed among the less‐disturbed forests. At one particular forest, carbon losses from the soil were so large, that in some years the site became a net source of carbon to the atmosphere. Excluding the disturbed sites from the present analysis reduced mean SR to 660 ± 290 gC m^?2 y^?1, representing 49% of GPP and 63% of TER in the relatively undisturbed forest ecosystems.     

氮输入对中国东北地区土壤碳蓄积的影响

由于人类活动的干扰,通过沉降和施肥形式进入陆地生态系统的氮素持续增加,中国已经成为继欧洲和北美之后的第三大氮沉降区,同时也是最大的化肥消费国。氮输入与陆地生态系统生物地球化学循环的一系列过程都相互联系,碳循环及其格局也受到氮输入的影响。土壤有机碳库在全球碳循环中具有重要作用,氮输入能否或在多大程度上对土壤碳库产生影响已经成为全球变化和氮沉降研究中不可回避的问题。东北地区是世界三大黑土带之一,土壤碳的变化不仅对于土壤肥力维持具有重要意义,而且对区域碳收支具有重要影响。利用生态系统过程模型——CEVSA2模型,基于我国能源消费、施氮数据和降水数据生成了一套中国大气氮沉降的时空网格数据,结合大气CO_2浓度、气候、土地覆被、土壤类型和质地的时空数据,模拟评估了1961-2010年氮输入对中国东北地区土壤碳蓄积的影响。结果表明:(1)1961-2010年东北地区的平均氮沉降速率为1.00gNm~(-2)a~(-1),年增长率为0.047 gN m~(-2)a~(-1)。东北农田总氮输入速率达到5.78 gN m~(-2)a~(-1),从20世纪80年代开始显著增加。(2)氮输入促进了东北地区土壤碳的蓄积,东北陆地生态系统的土壤碳密度平均增加了135 gC/m~2,50a氮输入共增加土壤碳蓄积0.16 PgC。(3)氮输入引起的东北地区土壤碳蓄积量的变化呈现出东高西低、南高北低的空间格局,辽河平原、松嫩平原和三江平原的土壤碳密度增加量超过了300 gC/m~2。(4)不同植被类型下的土壤碳密度对氮输入的响应存在较大差异,农田土壤碳密度平均增加了230 gC/m~2,森林、灌丛和草地则分别增加了76、169 gC/m~2和89 gC/m~2。氮输入的空间差异和不同植被类型对氮输入响应的差异共同决定了东北地区土壤碳增加量的空间格局。通过本研究阐明了氮输入对东北农田土壤碳蓄积的影响,从而为农田生态系统的固碳减排和农田土壤碳氮管理提供了决策依据。     

Influences of error distributions of net ecosystem exchange on parameter estimation of a process-based terrestrial model: A case of broad-leaved Korean pine mixed forest in Changbaishan, China

Model predictions can be improved by parameter estimation from measurements. It was assumed that measurement errors of net ecosystem exchange (NEE) of CO₂ follow a normal distribution. However, recent studies have shown that errors in eddy covariance measurements closely follow a double exponential distribution. In this paper, we compared effects of different distributions of measurement errors of NEE data on parameter estimation. NEE measurements in the Changbaishan forest were assimilated into a process-based terrestrial ecosystem model. We used the Markov chain Monte Carlo method to derive probability density functions of estimated parameters. Our results showed that modeled annual total gross primary production (GPP) and ecosystem respiration (Re) using the normal error distribution were higher than those using the double exponential distribution by 61–86 gC m^?2 a^?1 and 107–116 gC m^?2 a^?1, respectively. As a result, modeled annual sum of NEE using the normal error distribution was lower by 29–47 gC m^?2 a^?1 than that using the double exponential error distribution. Especially, modeled daily NEE based on the normal distribution underestimated the strong carbon sink in the Changbaishan forest in the growing season. We concluded that types of measurement error distributions and corresponding cost functions can substantially influence the estimation of parameters and carbon fluxes.     

暖温带麻栎林凋落物调节土壤碳排放通量对降雨脉冲的响应

凋落物既是森林生态系统养分循环的重要构件,又是森林土壤环境和功能的关键调节因子。降雨脉冲导致的土壤碳排放变异是陆地生态系统碳汇能力评价的不确定性来源之一。凋落物在调节土壤碳排放对降雨脉冲的响应中的作用仍缺乏科学的评价。通过在暖温带栎类落叶阔叶林中设置不同凋落物处理(对照、去除凋落物和加倍凋落物)和降雨模拟实验以阐明凋落物数量变化对土壤呼吸脉冲的影响。结果表明：模拟降雨脉冲之前,不同凋落物处理下的土壤呼吸存在显著差异;与对照相比,加倍凋落物导致土壤呼吸速率显著增加57.6%,然而,去除凋落物则对土壤呼吸无显著影响。模拟降雨后52小时内,对照、去除凋落物和加倍凋落物样方的土壤累积碳排放量分别为251.69 gC/m~2,250.93 gC/m~2和409.01 gC/m~2,加倍凋落物处理下的土壤碳排放量显著高于对照和去除凋落物处理;然而,去除凋落物与对照之间无显著差异。此外,不同凋落物处理下土壤呼吸的脉冲持续时间存在显著差异;加倍凋落物显著提高降雨后土壤呼吸脉冲的持续时间,分别比对照和去除凋落物高出262%和158%。多元逐步回归分析表明,土壤总碳排放通量和土壤呼吸的脉冲持续时间与土壤理...     

寒温带岛状林沼泽土壤呼吸速率和季节变化

2011年生长季内利用静态箱-气相色谱法,研究了寒温带典型湿地白桦(Betula platyphylla)岛状林沼泽、兴安落叶松(Larix gmelinii)岛状林沼泽土壤呼吸速率的季节动态及其主要环境因子,利用壕沟隔断法对土壤呼吸各组分间的差异进行研究。结果表明:生长季白桦和兴安落叶松岛状林沼泽土壤呼吸速率具有明显的季节性规律,土壤呼吸总速率分别为368.60和312.46 mg m-2h-1,异养呼吸速率分别为300.57和215.70 mg m-2h-1,占土壤呼吸总速率的81.5%和69.0%;自养呼吸速率为68.03和96.76 mg m-2h-1,占土壤呼吸总速率的18.5%和31.0%。不同处理条件下的土壤呼吸在季节变化上表现基本一致,高峰期都发生在夏季;土壤呼吸与温度呈极显著相关性,但与土壤湿度的相关性较差。生长季白桦和兴安落叶松岛状林沼泽土壤呼吸总量分别为12.64和10.61 t/hm2。     

Net primary productivity estimation and its relationship with tree diversity for tropical dry deciduous forests of central India

Present study aims at estimation and validation of net primary productivity (NPP) using production efficiency model (PEM), and its possible relationship with tree diversity. The PEM estimates NPP, based on light use efficiency (LUE) and intercepted photosynthetically active radiation (IPAR). Weighted average LUE varied between 0.02 gC/μmol/m² of PAR (Mixed forest (miscellaneous)) to 0.08 gC/μmol/m² of PAR (Acacia forest), in growing phase (GP), and 0.0008 gC/μmol/m² of PAR (Boswellia mixed forest) to 0.023 gC/μmol/m² of PAR (Acacia forest) during the senescent phase (SP). The average weighted LUE for tropical dry and Moist deciduous forest (MDF) in GP were 0.05 gC/μmol/m² of PAR and 0.03 gC/μmol/m² of PAR, respectively. The average IPAR for different forest types was 2079.58 μmol/m²/s during GP and 1510.58 μmol/m²/s during SP. The PEM based NPP varied between 0.58–275.78 gC/m²/year during GP and 0.43–74.34 gC/m²/year during SP. The PEM based NPP and conventional (ground based) NPP were related with R ² of 0.55. The tree diversity and NPP relationship was observed with R ² of 0.55 at the level of both plot and forest types.     

Paired-tower measurements of carbon and energy fluxes following disturbance in the boreal forest

Disturbances by fire and harvesting are thought to regulate the carbon balance of the Canadian boreal forest over scales of several decades. However, there are few direct measurements of carbon fluxes following disturbances to provide data needed to refine mathematical models. The eddy covariance technique was used with paired towers to measure fluxes simultaneously at disturbed and undisturbed sites over periods of about one week during the growing season in 1998 and 1999. Comparisons were conducted at three sites: a 1‐y‐old burned jackpine stand subjected to an intense crown fire at the International Crown Fire Modelling Experiment site near Fort Providence, North‐west Territories; a 1‐y‐old clearcut aspen area at the EMEND project near Peace River, Alberta; and a 10‐y‐old burned, mixed forest near Prince Albert National Park, Saskatchewan. Nearby mature forest stands of the same types were also measured as controls. The harvested site had lower net radiation (R_n), sensible (H) and latent (LE) heat fluxes, and greater ground heat fluxes (G) than the mature forest. Daytime CO₂ fluxes were much reduced, but night‐time CO₂ fluxes were identical to that of the mature aspen forest. It is hypothesized that the aspen roots remained alive following harvesting, and dominated soil respiration. The overall effect was that the harvested site was a carbon source of about 1.6 gC m^?2 day^?1, while the mature site was a sink of about ?3.8 gC m^?2 day^?1. The one‐year‐old burn had lower R_n, H and LE than the mature jackpine forest, and had a continuous CO₂ efflux of about 0.8 gC m^–2 day^?1 compared to the mature forest sink of ? 0.5 g C m^?2 day^?1. The carbon source was likely caused by decomposition of fire‐killed vegetation. The 10‐y‐old burned site had similar H, LE, and G to the mature mixed forest site. Although the diurnal amplitude of the CO₂ fluxes were slightly lower at the 10‐y‐old site, there was no significant difference between the daily integrals (? 1.3 gC m^?2 day^?1 at both sites). It appears that most of the change in carbon flux occurs within the first 10 years following disturbance, but more data are needed on other forest and disturbance types for the first 20 years following the disturbance event.     

Temperature Sensitivity and Basal Rate of Soil Respiration and Their Determinants in Temperate Forests of North China

The basal respiration rate at 10°C (R₁₀) and the temperature sensitivity of soil respiration (Q₁₀) are two premier parameters in predicting the instantaneous rate of soil respiration at a given temperature. However, the mechanisms underlying the spatial variations in R₁₀ and Q₁₀ are not quite clear. R₁₀ and Q₁₀ were calculated using an exponential function with measured soil respiration and soil temperature for 11 mixed conifer-broadleaved forest stands and nine broadleaved forest stands at a catchment scale. The mean values of R₁₀ were 1.83 µmol CO₂ m⁻² s⁻¹ and 2.01 µmol CO₂ m⁻² s⁻¹, the mean values of Q₁₀ were 3.40 and 3.79, respectively, for mixed and broadleaved forest types. Forest type did not influence the two model parameters, but determinants of R₁₀ and Q₁₀ varied between the two forest types. In mixed forest stands, R₁₀ decreased greatly with the ratio of coniferous to broadleaved tree species; whereas it sharply increased with the soil temperature range and the variations in soil organic carbon (SOC), and soil total nitrogen (TN). Q₁₀ was positively correlated with the spatial variances of herb-layer carbon stock and soil bulk density, and negatively with soil C/N ratio. In broadleaved forest stands, R₁₀ was markedly affected by basal area and the variations in shrub carbon stock and soil phosphorus (P) content; the value of Q₁₀ largely depended on soil pH and the variations of SOC and TN. 51% of variations in both R₁₀ and Q₁₀ can be accounted for jointly by five biophysical variables, of which the variation in soil bulk density played an overwhelming role in determining the amplitude of variations in soil basal respiration rates in temperate forests. Overall, it was concluded that soil respiration of temperate forests was largely dependent on soil physical properties when temperature kept quite low.