中亚热带常绿阔叶林粗木质残体呼吸季节动态及影响因素

粗木质残体呼吸(RCWD)释放的CO2是生态系统碳收支中的一个重要组成部分。采用红外气体分析法(Li-Cor8100土壤碳通量系统连接自制腔室)对中亚热带常绿阔叶林不同分解等级粗木质残体呼吸进行测量,探讨分解等级、温度(TCWD)和含水量(WCWD)对RCWD的影响机制。结果表明:不同分解等级粗木质残体呼吸季节变化曲线均呈明显的单峰型,最大值(9.69μmolCO2·m-2·s-1)出现在8月,最小值(0.60μmol CO2·m-2·s-1)出现在2月;不同分解等级粗木质残体呼吸存在着明显差异,Ⅲ级和Ⅳ级粗木质残体呼吸显著高于Ⅰ级(P<0.05);粗木质残体呼吸与TCWD呈显著的正相关关系(P<0.01),TCWD可以解释RCWD变化的70.2%—85.6%;RCWD与WCWD相关性不显著(P>0.05);不同分解等级粗木质残体呼吸的Q10值变化范围为2.46—2.83,平均值为2.64,Q10值随分解等级升高而增大。     

森林生态系统碳氮循环功能耦合研究综述

在大气CO2浓度升高和氮沉降增加等全球变化背景下,森林生态系统减缓CO2浓度升高的作用及其对全球变化的响应和反馈存在诸多不确定性.森林生态系统碳氮循环相互作用及功能耦合规律的研究是揭示这些不确定性的基础,也是反映森林生态系统生物产量与养分之间作用规律,涉及林地持久生产力（sustainability of long-term site productivity）的生态学机理问题.森林生态系统碳氮循环的耦合作用表现在林冠层光合作用的碳固定过程,森林植物组织呼吸、土壤凋落物与土壤有机质分解、地下部分根系周转与呼吸等碳释放过程,这些过程存在反馈机理和非线性作用,最终决定森林生态系统的碳平衡.着重在生态系统尺度上,综述了碳氮循环耦合作用研究的一些进展与存在的问题,对今后研究方向进行了展望.     

中国森林生态系统土壤CO2释放分布规律及其影响因素

联合国气候框架公约的签署提升了人们对全球变暖、碳循环变化的关注。陆地生态系统在全球变暖格局下的地位与作用,尤其是土壤碳库对全球变暖格局的响应是全球变化研究的焦点。土壤CO2释放作为土壤-大气CO2交换的主要途径之一,也就成为各国生态学家研究的重点内容。在对我国森林生态系统CO2释放通量以及相关气候、生物等因子的资料进行收集、整理和分析的基础上,探讨了我国森林生态系统土壤CO2释放的分布规律,以及这种规律性分布的气候、生物影响因素。对于我国这样一个南北跨度大的国家,不同区域的森林生态系统土壤CO2释放通量间存在较大的差异,在全国尺度上,森林生态系统土壤CO2释放通量平均值为（1．79±0．86）gCm^-2d^-1,而且土壤CO2释放通量随着纬度增加逐渐降低。作为一个复杂的生态过程,土壤CO2释放受到生物、非生物因子或独立、或综合的影响。通过分析指出,在全国尺度上,年均温、降雨量、群落净生产力及凋落物量显著地影响森林土壤CO2释放通量。同时,也正是这些影响因子的纬度分布,导致了我国森林生态系统土壤CO2释放通量的纬度分布规律。作为衡量土壤CO2释放对温度敏感性的重要指标,计算了我国森林生态系统土壤CO2释放温度敏感性系数-Q10值,约为1．5,该值显著低于全球平均水平,2．0。     

暖温带落叶阔叶林碳循环的初步估算

 森林生态系统碳循环过程与大气中二氧化碳含量有密切的关系,直接影响着大气成分的组成,进而对全球气候变化有重要影响。以我国暖温带落叶阔叶林生态系统近10年的定位研究为基础,初步建立了该类生态系统碳循环数值模式。结果表明：暖温带落叶阔叶林典型生态系统每年从外界主要是大气中吸收的碳是10.3 t·hm-2·a-1,植物呼吸释放到大气中的碳通量为5.5 t·hm-2·a-1。森林植物干物质积存的碳量为4.8 t·hm-2·a-1,通过凋落物分解释放到大气中的碳通量为2.46 t·hm-2·a-1。森林同化的碳绝大部分以活生物呼吸和凋落物分解的形式释放到大气中去了,存留在活生物体和凋落物中的很少。通过对碳现存量的研究发现,所研究的森林生态系统碳现存量为165.05 t·hm-2,其中活生物体碳现存量为61.2 t·hm-2,死生物体碳现存量为104.05 t·hm-2 (包括土壤中碳),土壤碳现存量为96 t·hm-2。土壤碳储量占总碳储量的58%,土壤是该地区森林生态系统主要的碳库,森林生态系统土壤中碳储量的变化必然引起整个区域碳储量整体动态的变化。     

Changes in carbon storages of Fagus forest ecosystems along an elevational gradient on Mt. Fanjingshan in Southwest China

森林生态系统碳库通常包括植被、土壤、凋落物与木质残体等几个组分。本研究旨在探讨中国一种重要的森林生态系统—水青冈林(Fagus L.)中这些碳库的沿海拔梯度格局变化及其驱动因子。在中国贵州省梵净山,沿海拔梯度(1095–1930 m)调查了9个水青冈林各碳库的碳储量。采用方差分解探讨了林龄、气候及其他因子对碳储量的影响,同时对梵净山与贵州和全球其他地区水青冈林的碳储量进行了比较。梵净山水青冈林生态系统碳储量在190.5–504.3 Mg C ha^–1之间,其主要组分包括植被碳库(33.7–73.9%)和土壤碳库(23.9–65.5%),而木质残体(0.05–3.1%)和凋落物(0.2–0.7%)对该生态系统碳储量的贡献不超过4%。随海拔升高,生态系统碳储量呈增加趋势,其中植被与木质残体碳库增加,而凋落物与土壤碳库无明显的变化趋势。对梵净山水青冈林,气候与林龄是其各组分碳储量海拔格局形成的主要原因;而对于全球水青冈林,林龄是其碳储量变化的主导因子。相比全球其他地区的水青冈林,贵州水青冈林具有较高的植被碳储量积累速率,这可能与贵州较高的降水量有关。本研究结果有助于理解中国水青冈林碳收支及其在区域碳循环中的可能作用,同时强调了林龄与气候对碳积累的重要性。     

东北东部森林生态系统土壤呼吸组分的分离量化

对森林生态系统的土壤呼吸组分进行分离和量化,确定不同组分CO2释放速率的控制因子,是估测局域和区域森林生态系统碳平衡研究中必不可少的内容。采用挖壕法和红外气体分析法测定无根和有根样地的土壤表面CO2通量(RS),确定东北东部6种典型森林生态系统RS中异养呼吸(RH)和根系自养呼吸(RA)的贡献量及其影响因子。具体研究目标包括:(1)量化各种生态系统的RH及其与主要环境影响因子的关系;(2)量化各种生态系统RS中根系呼吸贡献率(RC)的季节动态;(3)比较6种森林生态系统RH和RA的年通量。土壤温度、土壤含水量及其交互作用显著地影响森林生态系统的RH(R2=0.465~0.788),但其影响程度因森林生态系统类型而异。硬阔叶林和落叶松人工林的RH主要受土壤温度控制,其他生态系统RH受土壤温度和含水量的联合影响。各个森林生态系统类型的RC变化范围依次为:硬阔叶林32.40%~51.44%;杨桦林39.72%~46.65%;杂木林17.94%~47.74%;蒙古栎林34.31%~37.36%;红松人工林33.78%~37.02%;落叶松人工林14.39%~35.75%。每个生态系统类型RH年通量都显著高于RA年通量,其变化范围分别为337~540 gC.m-2.a-1和88~331 gC.m-2.a-1。不同生态系统间的RH和RA也存在着显著性差异。     

应用高频观测探讨不同森林经营方式下矿质土壤呼吸的昼夜动态特征

矿质土壤呼吸是森林生态系统土壤碳库损失的重要途径之一,也是森林生态系统碳(C)平衡估算中的关键因子。了解矿质土壤呼吸在不同时间尺度上的变化,对理解森林生态系统C循环应对全球变化的响应至关重要,而高频观测是探讨矿质土壤呼吸在不同时间尺度变化的重要手段之一。通过高频自动观测系统与Li-8100土壤CO2通量测量系统,对福建省三明市陈大镇国有林场的米槠(Castanopsis carlesii)次生林在不同森林经营方式下(CK对照,RR皆伐,RB火烧)的矿质土壤呼吸与土壤温度和含水量的昼夜动态进行分析,并比较2种采样策略下矿质土壤呼吸的年、日均通量差异。结果表明:1)不同森林经营方式的矿质土壤呼吸与土壤温度和土壤含水量均存在着明显的季节动态,矿质土壤呼吸速率年均值表现为CK(2.18μmol m~(-2)s~(-1))RB(1.93μmol m~(-2)s~(-1))RR(1.89μmol m~(-2)s~(-1))。2)在不同森林经营方式下,采用手动观测的矿质土壤呼吸年平均日通量显著低于高频观测结果,而采用高频观测09:00—11:00时间段内观测数据计算日通量与高频自动观测系统全天(24h)结果无显著差异;3)不同森林经营方式下的林地,土壤水热条件的变化是影响矿质土壤呼吸的重要因素之一。双因子模型拟合结果表明,土壤温度和含水量共同解释了CK、RR和RB矿质土壤呼吸速率的年变化的96.8%,62.8%,95.4%,拟合结果明显优于以温度为单因子的指数模型。因此,未来气候变化背景下,为准确评估和预测不同森林经营方式对土壤与大气间碳通量交换的影响,采用高频自动观测技术观测矿质土壤呼吸,将有利于提高碳通量估算精度。     

森林土壤有机碳分解对模拟增温的响应

由化石燃料燃烧和土地利用变化引起的全球气候变暖是地球上最严重的人为干扰之一,对陆地生态系统结构和功能产生重要的影响。土壤有机碳（SOC）是陆地生态系统最大的碳库,其微小变化都会影响全球碳平衡和气候变化。近30年来,国内外学者在不同森林生态系统相继开展了野外模拟增温对SOC分解的影响及其调控机制研究。基于在全球建立的26个野外模拟气候变暖实验平台,系统分析增温对森林生态系统SOC分解的影响格局和潜在机制,发现增温通常促进森林SOC的分解,对气候变暖产生正反馈作用。然而,因增温方式和持续时间、土壤微生物群落结构和功能的多样性、SOC结构和组成的复杂性、植物-土壤-微生物之间相互作用以及森林类型等不同而存在差异,导致人们对森林SOC分解响应气候变暖的程度及时空格局变化缺乏统一的认识,且各类生物和非生物因子的相对贡献尚不清楚。基于已有研究,从土壤微生物群落结构和功能、有机碳组分以及植物-土壤-微生物互作3个方面构建了气候变暖影响SOC分解的概念框架,并进一步阐述了今后的重点研究方向,以期深入理解森林生态系统碳-气候反馈效应,为制定森林生态系统管理措施和实现"碳中和"提供科学依据。1）加强模拟增温对不同森林生态系统（特别是热带亚热带森林生态系统） SOC分解的长期观测研究,查明SOC分解的时空动态特征;2）加强土壤微生物功能群与SOC分解之间关系的研究,揭示SOC分解对增温响应的微生物学机制;3）形成统一的SOC组分研究方法,揭示不同碳组分对增温的响应特征和机制;4）加强森林生态系统植物-土壤-微生物间相互作用对模拟增温的响应及其对SOC分解调控的研究;5）加强模拟增温与其他全球变化因子（例如降水格局变化、土地利用变化、大气氮沉降）对SOC分解的交互作用,为更好评估未来全球变化背景下森林土壤碳动态及碳汇功能的维持提供理论基础。     

森林生态系统可溶性碳和颗粒碳通量

可溶性碳(Dissolved carbon,DC)和颗粒碳(particulate carbon,PC)通量作为森林生态系统碳收支的重要组分,在森林固碳功能的评价和模型预测中具有重要意义,但常因认识不足、测定困难等而在森林碳汇研究中被忽略。综述了森林生态系统DC和PC的组成、作用、相关生态过程及其影响因子,并展望了该领域应该优先考虑的研究问题。森林生态系统DC和PC主要包括可溶性有机碳、可溶性无机碳和颗粒有机碳,主要来源于生态系统的净初级生产量。DC和PC是森林土壤的活性碳库,主要以大气沉降、穿透雨和凋落物的形式输入森林土壤系统,并通过土壤呼吸、侧向运输及渗透流失的方式输出生态系统。从局域尺度看,DC和PC通量受根系分泌、细根分解、微生物周转等生物过程的影响较大;从区域尺度看,它们受土壤和植被特性、生态过程耦联关系、气候因子以及全球变化的综合影响。该领域应该优先考虑:(1)探索不同时空尺度下森林生态系统DC和PC通量的控制因子及其耦联关系,揭示其中的驱动机理;(2)探索DC和PC与其它森林生态系统碳组分的相互关系及转化,阐明DC和PC通量与其它养分之间潜在的生态化学计量关系;(3)探索全球变化,特别是人类活动(如森林经营)和极端干扰事件(如林火、旱涝、冰冻、冻融交替等)对森林生态系统DC和PC通量的影响。     

东北东部森林生态系统土壤碳贮量和碳通量

土壤碳是高纬度地区森林生态系统最大的碳库,是森林生态系统碳循环的极其重要组分。研究了东北东部典型的6种次生林生态系统(天然蒙古栎林、杨桦林、杂木林、硬阔叶林、红松人工林和落叶松人工林)的土壤碳动态,包括(1)量化土壤有机碳(SOC)含量、碳密度及周转时间,(2)比较不同森林生态系统的土壤表面CO2通量(RS)年通量差异,(3)建立RS年通量及其分量与SOC的量化关系。研究结果表明:阔叶天然次生林和针叶人工林的SOC含量变化范围分别为52.63~66.29 g.kg-1和42.15~49.15 g.kg-1;平均SOC密度分别为15.57和17.16 kg.m-2;平均SOC周转时间分别为32a和48a。各个生态系统的RS依次为杂木林951 gC.m-2.a-1、硬阔叶林892 gC.m-2.-a 1、杨桦林812 gC.m-2.-a 1、蒙古栎林678gC.m-2.-a 1、红松林596 gC.m-2.-a 1和落叶松林451 gC.m-2.a-1。RS年通量及其分量(土壤异养呼吸和自养呼吸)与SOC含量呈显著的正相关,但其相关程度因土层不同而异(R2=0.747~0.933)。同一生态系统中,SOC含量随土深增加而降低,而SOC密度和SOC周转时间随深度增加而增大。采用统一规范的研究方法,获取大量有代表性的森林生态系统土壤碳贮量和RS的实测数据,是减少区域尺度碳平衡研究中不确定性的不可缺少的研究内容。     

Mineral soil carbon fluxes in forests and implications for carbon balance assessments

Forest carbon cycles play an important role in efforts to understand and mitigate climate change. Large amounts of carbon (C) are stored in deep mineral forest soils, but are often not considered in accounting for global C fluxes because mineral soil C is commonly thought to be relatively stable. We explore C fluxes associated with forest management practices by examining existing data on forest C fluxes in the northeastern US. Our findings demonstrate that mineral soil C can play an important role in C emissions, especially when considering intensive forest management practices. Such practices are known to cause a high aboveground C flux to the atmosphere, but there is evidence that they can also promote comparably high and long‐term belowground C fluxes. If these additional fluxes are widespread in forests, recommendations for increased reliance on forest biomass may need to be reevaluated. Furthermore, existing protocols for the monitoring of forest C often ignore mineral soil C due to lack of data. Forest C analyses will be incomplete until this problem is resolved.     

中国北方林生产力变化趋势及其影响因子分析

森林生产力是反映森林固碳能力的重要指标,是进行碳循环研究的重要环节。用模拟生态系统生物地球化学循环的CENTURY模型,模拟中国北方林(兴安落叶松林)近35a来的生产力动态,用3种趋势分析方法,检验了其变化趋势,并用多元线性回归模型分析了中国北方林生产力的年际波动与气温降水年际波动的关系,以及气温和降水对我国北方林生产力的影响程度。结果表明：中国北方林生产力呈增加的趋势,平均年增长率为0．34％;气温与森林生产力呈显著负相关,对森林生产力的贡献因子为4．0977;降水与森林生产力呈弱的正相关,其对森林生产力的贡献因子为0．3902。从而说明近35a来森林生产力的增加除了受气温降水等非生物因素的影响外,还受其它因素的影响;另外说明以气候变暖为标志的全球变化会对森林生产力产生重要的影响。     

Transplantation of organic surface horizons of boreal soils into warmer regions alters microbiology but not the temperature sensitivity of decomposition

Changes in soil carbon, the largest terrestrial carbon pool, are critical for the global carbon cycle, atmospheric CO₂ levels and climate. Climate warming is predicted to be most pronounced in the northern regions and therefore the large soil carbon pool residing in boreal forests will be subject to larger global warming impact than soil carbon pools in the temperate or the tropical forest. A major uncertainty in current estimates of the terrestrial carbon balance is related to decomposition of soil organic matter (SOM). We hypothesized that when soils are exposed to warmer climate the structure of the ground vegetation will change much more rapidly than the dominant tree species. This change will alter the quality and amount of litter input to the soil and induce changes in microbial communities, thus possibly altering the temperature sensitivity of SOM decomposition. We transferred organic surface soil sections from the northern borders of the boreal forest zone to corresponding forest sites in the southern borders of the boreal forest zone and studied the effects of warmer climate after an adaptation period of 2 years. The results showed that initially ground vegetation and soil microbial community structure and community functions were different in northern and southern forest sites and that 2 years of exposure to warmer climate was long enough to cause changes in these ecological indicators. The rate of SOM decomposition was approximately equally sensitive to temperature irrespective of changes in vegetation or microbial communities in the studied forest sites. However, as temperature sensitivity of the decomposition increases with decreasing temperature regime, the proportional increase in the decomposition rate in northern latitudes could lead to significant carbon losses from the soils.     

Carbon pool densities and a first estimate of the total carbon pool in the Mongolian forest‐steppe

The boreal forest biome represents one of the most important terrestrial carbon stores, which gave reason to intensive research on carbon stock densities. However, such an analysis does not yet exist for the southernmost Eurosiberian boreal forests in Inner Asia. Most of these forests are located in the Mongolian forest‐steppe, which is largely dominated by Larix sibirica. We quantified the carbon stock density and total carbon pool of Mongolia's boreal forests and adjacent grasslands and draw conclusions on possible future change. Mean aboveground carbon stock density in the interior of L. sibirica forests was 66 Mg C ha^?1, which is in the upper range of values reported from boreal forests and probably due to the comparably long growing season. The density of soil organic carbon (SOC, 108 Mg C ha^?1) and total belowground carbon density (149 Mg C ha^?1) are at the lower end of the range known from boreal forests, which might be the result of higher soil temperatures and a thinner permafrost layer than in the central and northern boreal forest belt. Land use effects are especially relevant at forest edges, where mean carbon stock density was 188 Mg C ha^?1, compared with 215 Mg C ha^?1 in the forest interior. Carbon stock density in grasslands was 144 Mg C ha^?1. Analysis of satellite imagery of the highly fragmented forest area in the forest‐steppe zone showed that Mongolia's total boreal forest area is currently 73 818 km², and 22% of this area refers to forest edges (defined as the first 30 m from the edge). The total forest carbon pool of Mongolia was estimated at ~ 1.5?1.7 Pg C, a value which is likely to decrease in future with increasing deforestation and fire frequency, and global warming.     

Carbon balance in the tundra, boreal forest and humid tropical forest during climate change: scaling up from leaf physiology and soil carbon dynamics

Carbon exchange by the terrestrial biosphere is thought to have changed since pre-industrial times in response to increasing concentrations of atmospheric CO₂ and variations (anomalies) in inter-annual air temperatures. However, the magnitude of this response, particularly that of various ecosystem types (biomes), is uncertain. Terrestrial carbon models can be used to estimate the direction and size of the terrestrial responses expected, providing that these models have a reasonable theoretical base. We formulated a general model of ecosystem carbon fluxes by linking a process-based canopy photosynthesis model to the Rothamsted soil carbon model for biomes that are not significantly affected by water limitation. The difference between net primary production (NPP) and heterotrophic soil respiration (R_h) represents net ecosystem production (NEP). The model includes (i) multiple compartments for carbon storage in vegetation and soil organic matter, (ii) the effects of seasonal changes in environmental parameters on annual NEP, and (iii) the effects of inter-annual temperature variations on annual NEP. Past, present and projected changes in atmospheric CO₂ concentration and surface air temperature (at different latitudes) were analysed for their effects on annual NEP in tundra, boreal forest and humid tropical forest biomes. In all three biomes, annual NEP was predicted to increase with CO₂ concentration but to decrease with warming. As CO₂ concentrations and temperatures rise, the positive carbon gains through increased NPP are often outweighed by losses through increased R_h, particularly at high latitudes where global warming has been (and is expected to be) most severe. We calculated that, several times during the past 140 years, both the tundra and boreal forest biomes have switched between being carbon sources (annual NEP negative) and being carbon sinks (annual NEP positive). Most recently, significant warming at high latitudes during 1988 and 1990 caused the tundra and boreal forests to be net carbon sources. Humid tropical forests generally have been a carbon sink since 1960. These modelled responses of the various biomes are in agreement with other estimates from either field measurements or geochemical models. Under projected CO₂ and temperature increases, the tundra and boreal forests will emit increasingly more carbon to the atmosphere while the humid tropical forest will continue to store carbon. Our analyses also indicate that the relative increase in the seasonal amplitude of the accumulated NEP within a year is about 0–14% year^?1 for boreal forests and 0–23% year^?1 in the tundra between 1960 and 1990.     

Effects of nutrition and soil warming on stemwood production in a boreal Norway spruce stand

The boreal forest is expected to experience the greatest warming of all forest biomes. The extent of the boreal forest, the large amount of carbon contained in the soil, and the expected climate warming, make the boreal forest a key biome to understand and represent correctly in global carbon models. It has been suggested that an increase in temperature could stimulate the release of CO₂ caused by an increased decomposition rate, more than biomass production, which could convert current carbon sinks into carbon sources. Most boreal forests are currently carbon sinks, but it is unclear for how long in the future the carbon sink capacity of the boreal forest is likely to be maintained. The impact of soil warming on stem volume growth was studied during 6 years, in irrigated (I) and irrigated‐fertilized (IL) stands of 40‐year‐old Norway spruce in Northern Sweden. From May to October heating cables were used to maintain the soil temperature on heated‐irrigated plots (Ih and ILh) 5 °C above that on unheated control plots (Ic and ILc). After six seasons' warming, stem volume production (m³ ha^?1 a^?1) was 115% higher on Ih than on unheated (Ic) plots, and on heated and irrigated‐fertilized plots (ILh) it was 57% higher than on unheated plots (ILc). The results indicate that in a future warmer climate, an increased availability of nitrogen, combined with a longer growing season, may increase biomass production substantially, on both low‐ and high‐fertility sites. It is, however, too early to decide whether the observed responses are transitory or long lasting. It is therefore crucial to gain a better understanding of the responses of boreal forest ecosystems to climate change, and to provide data to test and validate models used in predicting the impact of climate change.     

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。     

Spatial variability and controls over biomass stocks,carbon fluxes,and resource-use efficiencies across forest ecosystems

Key message

Stand age, water availability, and the length of the warm period are the most influencing controls of forest structure, functioning, and efficiency.

Abstract

We aimed to discern the distribution and controls of plant biomass, carbon fluxes, and resource-use efficiencies of forest ecosystems ranging from boreal to tropical forests. We analysed a global forest database containing estimates of stand biomass and carbon fluxes (400 and 111 sites, respectively) from which we calculated resource-use efficiencies (biomass production, carbon sequestration, light, and water-use efficiencies). We used the WorldClim climatic database and remote-sensing data derived from the Moderate Resolution Imaging Spectroradiometer to analyse climatic controls of ecosystem functioning. The influences of forest type, stand age, management, and nitrogen deposition were also explored. Tropical forests exhibited the largest gross carbon fluxes (photosynthesis and ecosystem respiration), but rather low net ecosystem production, which peaks in temperate forests. Stand age, water availability, and length of the warm period were the main factors controlling forest structure (biomass) and functionality (carbon fluxes and efficiencies). The interaction between temperature and precipitation was the main climatic driver of gross primary production and ecosystem respiration. The mean resource-use efficiency varied little among biomes. The spatial variability of biomass stocks and their distribution among ecosystem compartments were strongly correlated with the variability in carbon fluxes, and both were strongly controlled by climate (water availability, temperature) and stand characteristics (age, type of leaf). Gross primary production and ecosystem respiration were strongly correlated with mean annual temperature and precipitation only when precipitation and temperature were not limiting factors. Finally, our results suggest a global convergence in mean resource-use efficiencies.     

Effects of post-fire conditions on soil respiration in boreal forests with special reference to Northeast China forests

Forest fires frequently occur in boreal forests,and their effects on forest ecosystems are often significant in terms of carbon flux related to climate changes.Soil respiration is the second largest carbon flux in boreal forests and the change in soil respiration is not negligible.Environmental factors controlling the soil respiration,for example,soil temperature,are altered by such fires.The abnormal increase in soil temperature has an important negative effect on soil microbes by reducing their activities or even by killing them directly with strong heat.On the other hand,although vegetation is directly disturbed by fires,the indirect changes in soil respiration are followed by changes in root activities and soil microbes.However,there is very limited information on soil respiration in the forests of Northeast China.This review,by combining what is known about fire influence on soil respiration in boreal forests from previous studies of post-fire effects on soil conditions,soil microbes,and forest regeneration,presents possible scenarios of the impact of anticipated post-fire changes in forest soil respiration in Northeast China.