高原湿地的碳循环

<正>湿地生态系统是陆地生态系统中仅次于森林生态系统的最大碳库,湿地生态系统碳循环在全球碳循环中起着重要作用。湿地独特的水文条件,使得湿地碳循环具有与其他生态系统不同的特点。湿地土壤有机碳的循环过程生态系统有机碳的积累取决于系统植被净初级生产力(NPP)与有机碳分解和净排放之间的差异。湿地植物残体因受湿地多水和还原性强的限制,其分解、转化速度比较缓慢,通常以泥炭或有机质的形式表现为有     

森林生态系统碳循环的基本概念和野外测定方法评述

全球气候变化与森林生态系统碳循环息息相关,定量评估森林碳收支是生态系统与全球变化研究的重要任务。30年来森林生态系统碳循环研究已经取得了长足的进展,但全球和区域森林碳收支仍然存在很大的不确定性。这一方面与森林生态系统本身的复杂性有关,另一方面也与具体研究方法有关。评述了森林生态系统碳循环的基本概念和主要野外测定方法,为我国森林生态系统碳循环研究提供可参考的方法论。从生态系统碳浓度、密度、通量、分配和周转5个方面回顾了碳循环相关概念,指出碳浓度和碳储量是对碳库的静态描述,而碳通量和碳周转是对碳库的动态描述。净初级生产力是测量最普遍的碳通量组分,但大多数情况下因忽略了一些细节而被系统低估。普遍使用的净生态系统生产力,由于没有包含非CO2形式的水文、气象和干扰过程产生的碳通量,通常情况下高于生态系统净碳累积速率。在详细介绍碳通量组分的基础上,改进了森林生态系统碳循环的概念模型。重点讨论了碳通量的3种地面实测方法:测树学方法、箱法和涡度协方差法,并指出了其注意事项和不确定性来源。针对当前碳循环研究的突出问题,建议从4个方面减小碳循环测定的不确定性:(1)恰当运用生物量方程估算乔木生物量;(2)尽可能全面测定生态系统碳组分;(3)给出碳通量估算值的不确定性;(4)多种途径交互验证。     

林火干扰对森林生态系统土壤有机碳的影响研究进展

林火干扰是森林生态系统特殊而重要的生态因子,可改变生态系统的养分循环与能量传递。研究林火干扰对森林生态系统土壤有机碳的影响,有助于理解森林生态系统中土壤碳固持和碳循环过程,为制定科学合理的旨在减缓全球变化的林火管理策略具有重要意义。从4个方面阐述了林火干扰对森林生态系统土壤有机碳的影响及内在机制:分别从大尺度和小尺度两个方面阐述了林火干扰对土壤有机碳的影响及对森林生态系统碳循环与碳平衡的作用机制;探讨了不同林火干扰类型和林火干扰强度下,土壤活性有机碳对林火干扰的响应机制;阐明了林火干扰对土壤惰性有机碳的影响及作用机制;论述了林火干扰主要通过改变土壤有机碳的输入和输出过程进而影响土壤有机碳的稳定性及内在机制。最后提出了提高林火干扰对森林生态系统土壤有机碳影响定量化研究的4种路径选择:(1)全面比较研究不同林火干扰类型对土壤有机碳循环及其碳素再分配过程的功能特征;(2)进一步阐明林火干扰通过改变植被结构进而影响土壤生物群落结构,剖析土壤碳库循环的内在机制;(3)完善不同时空尺度下林火干扰对森林生态系统土壤碳库周转过程的定量化研究;(4)加强不同林火干扰类型土壤碳库稳定性差异的研究。     

未来气候情景下中国东北森林生态系统碳收支变化

应用FGOALS模式输出的未来气候情景数据驱动中国森林生态系统碳循环模型FORCCHN,模拟了东北地区森林生态系统碳收支未来可能的时空变化。预测结果表明：未来平衡发展情景（A1B）气候变化情景下,2003—2049年东北森林生态系统净初级生产力（NPP）和土壤呼吸在达到饱和状态前均呈波动上升趋势,将分别增加10.84%、134.43%,且土壤呼吸的增加速率远远大于NPP的增加速率;2003—2049年,东北森林生态系统可能仍将具有明显碳汇功能,但强度呈下降趋势,将下降95.64%;未来47年东北森林虽然碳汇能力在减弱,但吸碳总量还在不断增加,说明未来47年东北森林对降低大气中温室气体浓度上升以及缓解气候变化将会起到积极作用。     

基于FORCCHN模型的中国典型森林生态系统碳通量模拟

森林生态系统是陆地碳循环的重要组成部分,其固碳能力显著高于其他陆地生态系统,研究森林生态系统碳通量是认识和理解全球变化对碳循环影响的关键。碳循环模型是研究森林生态系统碳通量有效工具。以长白山温带落叶阔叶林、千烟洲亚热带常绿针叶林、鼎湖山亚热带常绿阔叶林和西双版纳热带雨林等4种中国典型森林生态系统为研究对象,利用涡度相关2003-2012年观测数据,评估FORCCHN模型对生态系统呼吸（ER）,总初级生产力（GPP）,净生态系统生产力（NEP）的模型效果。结果表明：（1） FORCCHN模型能够较好的模拟中国4种典型森林生态系统不同时间尺度的碳通量。落叶阔叶林和常绿针叶林ER和GPP的逐日变化模拟效果较好（ER的相关系数分别为0.94和0.92,GPP的相关系数分别为0.86和0.74）;（2）4种森林生态系统碳通量季节动态模拟值和观测值显著相关（P<0.01）,ER、GPP、NEP的观测值和模拟值的R²分别为0.77-0.93、0.54-0.88和0.15-0.38;模型可以很好地模拟森林生态系统不同季节碳汇（NEP>0）,碳源（NEP<0）的变化规律;（3）4种森林生态系统碳通量模拟值与观测值的年际变化有很好的吻合度,但在数值大小上存在差异,模型高估了常绿阔叶林的ER和GPP,略微低估了其他3种森林生态系统ER和GPP。     

广州市十种森林生态系统的碳循环

为了探讨南亚热带森林生态系统碳循环的规律,在广泛收集资料和试验数据的基础上,对广州10种森林生态系统的碳循环进行研究.结果表明：10种森林生态系统的碳密度在108.35～151.85 t C·hm^-2,其中乔木层碳密度在10.85～48.86 t C·hm^-2,0～60 cm土壤层在87.74～99.01 t C·hm^-2,均低于全国平均水平;从大气流向植被层的碳流量为4.41～9.15 t C·hm^-2·a^-1,植被层流向土壤层的碳流量为0.74～2.06 t C·hm^-2·a^-1,土壤层流向大气层的碳流量为3.94～5.42 t C·hm^-2·a^-1,即系统从大气净吸收碳在0.47～4.97 t C·hm^-2·a^-1之间.各种林分的净系统生产力不同,阔叶林大于针叶林,混交林大于纯林,天然次生林大于人工林.     

增温增水对草地生态系统碳循环关键过程的影响

生态系统碳循环是生态系统过程的重要组成部分,对碳循环关键过程机理的研究有助于更好地理解生态系统过程。目前,气候变化（全球变暖、降水时空格局变化）对草地生态系统过程产生了重要的影响。综述了气候变化（温度和降水变化）对草地生态系统碳循环关键过程（植物生产力、植物物候、植物根系周转、生态系统呼吸和生态系统净碳交换）的影响,在此基础上指出了目前气候变化（温度和降水变化）控制试验研究的不足,并进一步提出了今后应该加强研究的方向。     

甘南地区二氧化碳施肥效应对生态系统的影响

陆地生态系统是全球第二大碳库,其碳收支一直是气候变化研究的热点领域,而研究二氧化碳（CO₂）施肥效应又是全球变化碳循环领域较为关注的前沿部分。CO₂与生态系统关系复杂,当前仍无法厘清CO₂对陆地生态系统碳循环的影响作用。基于太阳辐射数据、气温数据及归一化植被指数数据等,利用光能利用率遥感模型,模拟2019年甘南地区的碳循环,选取三个指标,即GPP （陆地生态系统总初级生产力）、NPP （净初级生产力）和NEP （净生态系统生产力）来分析甘南地区植被固碳的时空变化特征及CO₂施肥效应。结果表明：（1）甘南地区2019年植被固碳总量约为2611 tC。甘南地区生态系统GPP、NPP和NEP季节性特征明显,其值均在夏季达到最高;而在空间上,GPP、NPP表现为东高西低的特征,NEP呈现出北高南低的分布特征。（2） CO₂对GPP、NPP存在正向的施肥效应,分别增加了14.4%和14.3%;而对NEP具有负向反馈效应,使其减少了0.3%,并且CO₂对NEP的影响整体也表现为北高南低的特征。研究揭示出：虽然CO₂在提升GPP和NPP时,正向的施肥效应明显,但是对甘南地区的NEP,即固碳量来说,CO₂的影响却很有限。因此在研究CO₂施肥效应时不应一概而论,生态地理环境对其的影响不可忽视。研究可以为揭示陆地生态系统碳循环的动态机制提供一定的理论依据。     

基于碳循环的化石能源及电力生态足迹

研究在对陆地生态系统的碳循环的进行分析后,将化石能源地定义被修订为"吸收化石能源燃烧排放的温室气体排放的森林和草原".然后,基于净生态系统生产量(NEP)--植被体内碳净累积量计算了全球森林及草原对温室气体的平均吸收能力.最后,结合能源热量转换和碳排放数据,重新计算了各种化石能源及电力的生态足迹.     

森林生态系统粗死木质残体碳储量研究进展

粗死木质残体（CWD）是森林生态系统重要的结构性与功能性单元，作为连接植被碳库与土壤碳库的关键纽带，对全球森林生态系统碳循环发挥着重要而独特的作用，越来越多的学者开始关注CWD碳储量相关研究。系统阐述了国内外CWD碳储量研究的发展历程、研究范围与基本特征等内容，总结概括了CWD体积测算、CWD碳浓度估算等碳计量相关方法的研究进展。通过梳理发现：国内外学者对CWD碳储量的研究仍处于初级阶段，主要集中于探讨不同树种、不同林龄、不同腐解等级、不同海拔、不同存在形式的森林CWD碳储量分布特征，而较少关注CWD碳库对土壤碳库和植被碳库的作用机制以及对未来气候变化的响应和反馈机制；CWD碳计量方法较为单一，普遍采用的是传统的"生物量-碳浓度法"，而运用机器学习算法对CWD碳储量进行估算的研究尚不多见。此外，相对国外研究而言，国内研究主要局限于小尺度范围。文章据此提出未来CWD碳储量研究的发展方向：（1）拓展研究尺度，建立CWD碳储量长期观测体系；（2）深入开展不同森林生态系统CWD碳储量对气候变化的响应机制研究；（3）探索更加多元化的CWD碳储量计量方法；（4）深入探讨CWD碳库对土壤碳库与植被碳库的影响与作用机制。     

Trade-offs between water yield and carbon sequestration for sub-alpine catchments in western Sichuan,China北大核心CSCD

Aims: There is increasing concern on the trade-off between carbon sequestration and water yield of forest ecosystems. Our objective was to explore the effects of vegetation composition on water and carbon trade-off in the sub-alpine watersheds of western Sichuan during 1982-2006. Methods: The WaSSI-C, which is an eco-hydrological model with coupled water and carbon cycles, was employed to calculate the key components in water balance and carbon sequestration for the 22 sub-catchments in the upper reaches of Zagunao River. Spearman's Rho trend analysis was used to examine the trends in runoff and net ecosystem productivity. Important findings: Compared with either subalpine meadow or mixed forest dominated catchments, the conifer-dominated catchments had much higher water loss due to high evapotranspiration, and the loss was not offset by its higher soil water infiltration during the growing season. The change in soil water storage for subalpine meadow, mixed forest and coniferous forest are -44 mm, -18 mm and -5 mm, respectively, which indicated significant decline in soil water storage and thus water yield particularly in alpine meadow catchments. Significant negative relationship was found between runoff and net ecosystem productivity, the alpine meadow as the dominant vegetation type showed high water yield and low carbon sequestration, and the conifer-dominant and mixed forest vegetation showed low water yield and high carbon sequestration, moreover, the higher the forest coverage, the lower the water yield. Upward trends in net ecosystem productivity were observed in the three vegetation types during the study period and the alpine meadow type was significant.     

川西亚高山流域水碳平衡研究

森林生态系统的产水量与固碳效益之间存在着一种可交易的平衡关系。基于WaSSI-C水碳耦合模型和趋势分析, 研究了1982-2006年川西杂古脑河上游22个子流域内不同植被类型空间分布对水碳平衡的影响并分析了其水碳耦合关系, 发现: 1)针叶林主导的流域在生长季增加土壤水分入渗的功能明显高于其他植被类型, 但不足以补偿其高蒸散带来的水分消耗, 因而其年平均土壤含水量明显低于高山草甸和混交林类型; 且森林土壤含水量随着森林覆盖率的升高而降低。2) 25年的土壤水分蓄变量的平均值, 高山草甸流域为-44 mm, 混交林为-18 mm, 针叶林为-5 mm, 说明川西亚高山植被的整体维持稳定产水量及其潜力在下降, 其中高山草甸流域下降趋势尤为显著。3)流域产流量和净生态系统生产力具有显著负相关性, 且不同植被组成对固碳和产水效益的转化具有重要影响: 高山草甸主导的子流域具有较高的产水量和较低的固碳能力, 常绿针叶林主导的子流域具有较高固碳能力和较低产水量, 且森林覆盖率越高, 产水量越低。三种植被类型的净生态系统生产力在研究期间均呈现上升趋势, 且高山草甸的上升趋势显著。     

Trade-offs between water yield and carbon sequestration for sub-alpine catchments in western Sichuan,China

Aims There is increasing concern on the trade-off between carbon sequestration and water yield of forest ecosystems. Our objective was to explore the effects of vegetation composition on water and carbon trade-off in the sub-alpine watersheds of western Sichuan during 1982-2006.Methods The WaSSI-C, which is an eco-hydrological model with coupled water and carbon cycles, was employed to calculate the key components in water balance and carbon sequestration for the 22 sub-catchments in the upper reaches of Zagunao River. Spearman’s Rho trend analysis was used to examine the trends in runoff and net ecosystem productivity. Important findings Compared with either subalpine meadow or mixed forest dominated catchments, the conifer-dominated catchments had much higher water loss due to high evapotranspiration, and the loss was not offset by its higher soil water infiltration during the growing season. The change in soil water storage for subalpine meadow, mixed forest and coniferous forest are -44 mm, -18 mm and -5 mm, respectively, which indicated significant decline in soil water storage and thus water yield particularly in alpine meadow catchments. Significant negative relationship was found between runoff and net ecosystem productivity, the alpine meadow as the dominant vegetation type showed high water yield and low carbon sequestration, and the conifer-dominant and mixed forest vegetation showed low water yield and high carbon sequestration, moreover, the higher the forest coverage, the lower the water yield. Upward trends in net ecosystem productivity were observed in the three vegetation types during the study period and the alpine meadow type was significant.     

大尺度森林碳循环过程模拟模型综述

森林生态系统碳循环是全球陆地生态系统碳循环的重要组成部分,而碳循环模型已经成为研究森林碳循环的必要手段。森林碳循环模型可以分为统计模型和过程模型,其中过程模型以其完整的理论框架、严谨的结构分析和清晰的过程机理,逐渐占据了主导地位。从地球化学过程模型、陆面物理过程模型和生物过程模型等3个方面综述区域尺度到全球尺度(本文称为大尺度)森林碳循环过程模型研究进展,论述了各类模型的主要特征、优缺点以及应用现状,探讨了森林碳循环模拟研究中存在的问题,并讨论了森林碳循环过程模型的主流研究方向。可为不同空间尺度下森林生态系统碳循环模拟模型的选择提供参考,以及为森林碳循环研究提供借鉴。     

我国主要森林生态系统碳贮量和碳平衡

在广泛收集资料的基础上,估算了我国主要森林生态系统的碳贮量和碳平衡通量,分析了它们的区域特征。主要结果如下：1)我国森林生态系统的平均碳密度是258.83t·hm^-2,基本趋势是随纬度的增加而增加;其中植被的平均碳密度是57.07t·hm^-2,随纬度的增加而减小;土壤碳密度约是植被碳密度的3．4倍,其区域特点与植被碳密度呈相反趋势,随纬度升高而增加;凋落物层平均碳密度是8.21t·hm^-2,随水热因子的改善而减小。2)森林生态系统有机碳库包括植被、土壤和凋落物层3个部分,采用林业部调查规划设计院1989～1993年最新统计的我国森林资源清查资料,估算我国主要森林生态系统碳贮量为281.16×10⁸t,其中植被碳库、土壤碳库、凋落物层碳库分别为62.00×10⁸t、210.23×10⁸t、8.92×10⁸t。落叶阔叶林、暖性针叶林、常绿落叶阔叶林、云冷杉(Picea-Abies)林、落叶松(Larix)林占森林总碳贮量的87％,是我国森林主要的碳库。3)我国森林生态系统在与大气的气体交换中表现为碳汇,年通量为4.80×10⁸t·a^-1,基本规律是从热带向寒带,碳汇功能下降,这取决于系统碳收支的各个通量之间的动态平衡;阔叶林的固碳能力大于针叶林。我国森林生态系统可以吸收生物物质、化石燃料燃烧和人口呼吸释放总碳量(9.87×10⁸t·a^-1)的48.7％。     

Traceable components of terrestrial carbon storage capacity in biogeochemical models

Biogeochemical models have been developed to account for more and more processes, making their complex structures difficult to be understood and evaluated. Here, we introduce a framework to decompose a complex land model into traceable components based on mutually independent properties of modeled biogeochemical processes. The framework traces modeled ecosystem carbon storage capacity (X_ss) to (i) a product of net primary productivity (NPP) and ecosystem residence time (τ_E). The latter τ_E can be further traced to (ii) baseline carbon residence times (τ′_E), which are usually preset in a model according to vegetation characteristics and soil types, (iii) environmental scalars (ξ), including temperature and water scalars, and (iv) environmental forcings. We applied the framework to the Australian Community Atmosphere Biosphere Land Exchange (CABLE) model to help understand differences in modeled carbon processes among biomes and as influenced by nitrogen processes. With the climate forcings of 1990, modeled evergreen broadleaf forest had the highest NPP among the nine biomes and moderate residence times, leading to a relatively high carbon storage capacity (31.5 kg cm^?2). Deciduous needle leaf forest had the longest residence time (163.3 years) and low NPP, leading to moderate carbon storage (18.3 kg cm^?2). The longest τ_E in deciduous needle leaf forest was ascribed to its longest τ′_E (43.6 years) and small ξ (0.14 on litter/soil carbon decay rates). Incorporation of nitrogen processes into the CABLE model decreased X_ss in all biomes via reduced NPP (e.g., ?12.1% in shrub land) or decreased τ_E or both. The decreases in τ_E resulted from nitrogen‐induced changes in τ′_E (e.g., ?26.7% in C₃ grassland) through carbon allocation among plant pools and transfers from plant to litter and soil pools. Our framework can be used to facilitate data model comparisons and model intercomparisons via tracking a few traceable components for all terrestrial carbon cycle models. Nevertheless, more research is needed to develop tools to decompose NPP and transient dynamics of the modeled carbon cycle into traceable components for structural analysis of land models.     

Implications of future climate and atmospheric CO2 content for regional biogeochemistry,biogeography and ecosystem services across East Africa

We model future changes in land biogeochemistry and biogeography across East Africa. East Africa is one of few tropical regions where general circulation model (GCM) future climate projections exhibit a robust response of strong future warming and general annual‐mean rainfall increases. Eighteen future climate projections from nine GCMs participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment were used as input to the LPJ dynamic global vegetation model (DGVM), which predicted vegetation patterns and carbon storage in agreement with satellite observations and forest inventory data under the present‐day climate. All simulations showed future increases in tropical woody vegetation over the region at the expense of grasslands. Regional increases in net primary productivity (NPP) (18–36%) and total carbon storage (3–13%) by 2080–2099 compared with the present‐day were common to all simulations. Despite decreases in soil carbon after 2050, seven out of nine simulations continued to show an annual net land carbon sink in the final decades of the 21st century because vegetation biomass continued to increase. The seasonal cycles of rainfall and soil moisture show future increases in wet season rainfall across the GCMs with generally little change in dry season rainfall. Based on the simulated present‐day climate and its future trends, the GCMs can be grouped into four broad categories. Overall, our model results suggest that East Africa, a populous and economically poor region, is likely to experience some ecosystem service benefits through increased precipitation, river runoff and fresh water availability. Resulting enhancements in NPP may lead to improved crop yields in some areas. Our results stand in partial contradiction to other studies that suggest possible negative consequences for agriculture, biodiversity and other ecosystem services caused by temperature increases.     

Biomass carbon storage and net primary production in different habitats of Hunshandake Sandland, China

Terrestrial ecosystems are playing important roles in global carbon cycling. However, the information is still limited with regard to the semi-arid sandland or desert area, compared with the thorough studies on forest and grassland. We here estimated the biomass carbon storage, net primary production (NPP) and rain use efficiency (RUE) of Hunshandake Sandland, a semi-arid sandy region in Inner Mongolia covered with vegetation of Siberian elm (Ulmus pumila L.) sparse forest grassland. Five main habitats, i.e. fixed dunes, semi-fixed dunes, shifting dunes, lowland, and wetland, were compared to analyze the patterns of carbon storage and NPP distribution. The average biomass (9.19 Mg C ha^?1) and NPP (4.79 Mg C ha^?1 yr^?1) of the sparse forest grassland were respectively 82% and 54% higher than the mean level of the surrounding temperate grassland. Governed by the same climate, sparse forest grassland ecosystem had RUE almost twice that of surrounding grassland. The ratio of below to aboveground biomass was 3.5: 1 in the sandland, indicating that most of the vegetational carbon was stored in belowground pool. Although trees were functionally critical in maintaining the integrity of sparse forest grassland, they accounted for only 10.6% and 1.2% of the biomass and NPP, respectively. The sparse forest grassland in Hunshandake Sandland should be recognized as a temperate savanna ecosystem which is distinctively different from typical temperate grassland in the same region as evidenced by the higher NPP and vegetation carbon storage. Well designed management and restoration efforts can potentially sustain ecosystem services in both forage production and carbon sequestration.     

Biomass carbon storage and net primary production in different habitats of Hunshandake Sandland, China

Terrestrial ecosystems are playing important roles in global carbon cycling. However, the information is still limited with regard to the semi-arid sandland or desert area, compared with the thorough studies on forest and grassland. We here estimated the biomass carbon storage, net primary production (NPP) and rain use efficiency (RUE) of Hunshandake Sandland, a semi-arid sandy region in Inner Mongolia covered with vegetation of Siberian elm (Ulmus pumila L.) sparse forest grassland. Five main habitats, i.e. fixed dunes, semi-fixed dunes, shifting dunes, lowland, and wetland, were compared to analyze the patterns of carbon storage and NPP distribution. The average biomass (9.19 Mg C ha^?1) and NPP (4.79 Mg C ha^?1 yr^?1) of the sparse forest grassland were respectively 82% and 54% higher than the mean level of the surrounding temperate grassland. Governed by the same climate, sparse forest grassland ecosystem had RUE almost twice that of surrounding grassland. The ratio of below to aboveground biomass was 3.5: 1 in the sandland, indicating that most of the vegetational carbon was stored in belowground pool. Although trees were functionally critical in maintaining the integrity of sparse forest grassland, they accounted for only 10.6% and 1.2% of the biomass and NPP, respectively. The sparse forest grassland in Hunshandake Sandland should be recognized as a temperate savanna ecosystem which is distinctively different from typical temperate grassland in the same region as evidenced by the higher NPP and vegetation carbon storage. Well designed management and restoration efforts can potentially sustain ecosystem services in both forage production and carbon sequestration.