太湖流域西部丘陵区茶园生态系统碳通量特征

本文基于静态箱/红外气体分析法,分析太湖流域西部丘陵区不同植茶年龄(3、9和20 a)茶园生态系统碳通量特征。结果表明:茶园生态系统碳通量日变化和季节变化均呈单峰型,最大碳通量达-1.10 mg·m-2·s-1,晴天为碳吸收,阴天以碳排放为主;采茶使3—4月茶园生态系统碳通量降低,对9、20 a茶园影响较大,修剪使5—9月3、9 a茶园碳通量趋于一致,固碳能力大幅下降;茶园生态系统是显著的大气碳汇,年净生态系统碳交换量为-304.04 g C·m-2,固碳能力与林地相当,其开发利用不会造成生态系统碳汇减少。     

黄土高原围封与自然放牧草地碳交换特征

用静态箱法于2012年3月~2013年2月对黄土高原自然放牧及其围封6年的草地土壤呼吸和净生态系统CO2交换速率进行为期1年的实地观测。结果表明:(1)围封和自然放牧草地全年的碳交换总量均表现为碳汇,即CO2净吸收;围封草地全年净生态系统碳交换量为(-58.0±14.5)g·m-2,其中生长季和非生长季交换量分别为(-70.3±11.4)g·m-2和(12.4±3.1)g·m-2;自然放牧草地生态系统全年碳交换量为(-48.7±14.0)g·m-2,其中生长季和非生长季交换量分别为(-56.9±10.6)g·m-2和(8.1±3.3)g·m-2。(2)草地净生态系统CO2交换速率生长季主要受土壤含水量的控制,而在非生长季则主要受土壤温度的控制;草地土壤呼吸速率主要受土壤温度和土壤含水量共同影响,其中在生长季受土壤含水量的影响作用更大,而在非生长季则受土壤温度的影响作用更大。(3)土壤有机质含量的差异是造成围封草地土壤呼吸速率大于自然放牧草地的主要原因。(4)研究区草地存在土壤呼吸负通量现象,样地灰钙土偏高的碱性条件(pH8.2)促进了土壤次生碳酸盐的淀积可能是造成这一现象的主要原因。     

浙江天目山老龄森林生态系统CO_2通量特征

物种丰富的异龄老龄森林对陆地生态系统动态模型及全球碳收支具有十分重要的意义.目前,我国关于老龄森林碳通量的研究很少,亚热带地区的老龄林更鲜有报道.本研究利用涡度相关技术观测了我国中亚热带地区的浙江天目山一个老龄常绿落叶阔叶混交林生态系统的CO_2通量.以2013年7月到2014年6月的观测数据为依据,分析了此老龄林净生态系统碳交换量(NEE)、生态系统呼吸量(R_e)、生态系统总交换量(GEE)的变化.结果表明:研究期间老龄林常绿落叶阔叶混交林生态系统NEE月总量除12、2月为正值外(表现为碳源),其余月份均为负值(表现为碳汇).NEE月总量平均为-61.52 g C·m~(-2),各月碳吸收量以6月(-149.40 g C·m~(-2))最高,10月次之,呈双峰变化;最大碳源出现在2月(23.45g C·m~(-2)).各月NEE平均日变化差异明显,6月的平均通量峰值最大,达到-0.98 mg·m~(-2)·s~(-1),12月最小,为-0.35mg·m~(-2)·s~(-1);NEE符号改变的时间也呈明显的季节变化特征;全年NEE、R_e、GEE分别为-738.18、931.05、-1669.23g C·m~(-2).与相近纬度相近林型的其他森林生态系统相比,由于其复层结构和多种幼龄更新树木的存在,其测定的固碳量较大.表明我国中亚热带天目山地区的老龄森林生态系统不是处于碳收支稳定状态,而是具有相对较高的固碳能力.     

鼎湖山针阔叶混交林CO2浓度及通量变化特征

该研究采用珠三角典型森林植被生态系统的鼎湖山南亚热带常绿阔叶林通量观测站2012年CO2通量资料和气象资料,分析了CO2通量、净生态系统CO2交换量及CO2浓度的变化特征,及其与气象因子的关系。结果表明:(1) CO2浓度日变化呈“一峰一谷”变化形态,在夜间或日出前后出现最大值,在午后到达最小值; CO2通量日变化呈“单谷”曲线,在白天中午前后到达最小值(负值),夜间和早晨较高(正值)。(2) CO2通量季节平均值的高低依次为春季夏季冬季秋季,CO2浓度季节平均值的高低次序则为冬季春季秋季夏季,即非生长季高于生长季节,这可能与植物物候的季节变化所引起的CO2源汇强度改变有关。(3) 2012年鼎湖山森林生态系统的CO2年均浓度为664.7 mg·m-3,CO2通量年均值为-0.079 mg·m-2·s-1,NEE为-611 g C·m-2·a-1,表明鼎湖山针阔叶混交林近年来处于快速生长过程中,具有较强的碳汇功能。(4) CO2通量及浓度与气温、饱和水气压差均成显著负相关关系,其中CO2浓度与气温的相关性最高,其次为饱和水汽压差,表明气温和饱和水汽压差是影响CO2浓度和通量的关键气象因子。受人类活动及气候变化的影响,近年来鼎湖山森林生态系统的碳汇功能有所增强。     

内蒙古克氏针茅草原生态系统碳通量数据质量评价及日和季节变化特征

利用内蒙古锡林浩特国家气候观象台2010年3月至2011年2月全年的大气湍流观测资料,在数据质量控制的基础上,对内蒙古克氏针茅草原生态系统碳通量数据进行质量评价,并分析了日变化和季节变化特征。结果表明:在惯性副区,湍流通量的功率谱和协谱基本呈-2/3和-4/3的斜率变化。经过质量控制后的通量数据中,可用于基础研究的高质量数据约为74%,约有8%的低质量数据需要剔除。克氏针茅草原生长季中碳通量的日变化分为单峰和双峰两种类型,均有明显的不对称性,上午碳吸收强于下午。克氏针茅草原在冬季由于低温碳通量值很小,春季气温缓慢回升,草原处于早期发展阶段,表现为弱的碳汇,夏季的6月碳吸收达全年最强,7月和8月受干旱胁迫影响,碳通量逐渐减小,秋季草原开始枯黄,表现为弱的碳汇。内蒙古克氏针茅草原CO2年总量达-348 g CO2·m-2·a-1。克氏针茅草原7月夜间碳排放达最大值,6月白天碳吸收全年最强。本研究加深了对草原生态系统生长季和非生长季碳通量交换特征的理解,为陆面过程模型及相关碳模型参数修正提供了参考。     

我国亚热带毛竹林CO2通量的变异特征

2010年12月至2011年11月,利用涡度相关技术研究了我国亚热带(浙江)毛竹林生态系统的CO₂通量,分析了毛竹林净生态系统交换量(NEE)、生态系统呼吸量(RE)和生态系统总交换量(GEE)的变化.结果表明: 研究期间,毛竹林各月的NEE均为负值,7月最大,为-99.33 g C·m^-2,11月最小,仅-23.49 g C·m^-2,其变化曲线呈双峰型.各月CO₂通量平均日变化差异明显,9月最大,为-0.60 g CO₂·m^-2·s^-1,1月最小,为-0.30 g CO₂·m^-2·s^-1,且在NEE正负转换的时间点上呈明显的季节变化特征;全年RE呈单峰型变化,夏季最高、冬季最低,夜间RE与土壤温度呈极显著正相关.全年NEE、RE和GEE分别为-668.40、932.55和-1600.95 g C·m^-2·a^-1,NEE占GEE的41.8%.与其他生态系统相比,毛竹林的固碳能力极强.     

我国亚热带毛竹林CO2通量的变异特征

2010年12月至2011年11月,利用涡度相关技术研究了我国亚热带(浙江)毛竹林生态系统的CO₂通量,分析了毛竹林净生态系统交换量(NEE)、生态系统呼吸量(RE)和生态系统总交换量(GEE)的变化.结果表明: 研究期间,毛竹林各月的NEE均为负值,7月最大,为-99.33 g C·m^-2,11月最小,仅-23.49 g C·m^-2,其变化曲线呈双峰型.各月CO₂通量平均日变化差异明显,9月最大,为-0.60 g CO₂·m^-2·s^-1,1月最小,为-0.30 g CO₂·m^-2·s^-1,且在NEE正负转换的时间点上呈明显的季节变化特征;全年RE呈单峰型变化,夏季最高、冬季最低,夜间RE与土壤温度呈极显著正相关.全年NEE、RE和GEE分别为-668.40、932.55和-1600.95 g C·m^-2·a^-1,NEE占GEE的41.8%.与其他生态系统相比,毛竹林的固碳能力极强.     

民勤绿洲-荒漠过渡带梭梭人工林净碳交换及其影响因子

基于涡动相关系统观测的民勤绿洲荒漠过渡带梭梭人工林生态系统通量资料,定量分析了2018年生长季(5—10月)碳通量变化特征及其影响因子,为民勤梭梭人工林生态系统碳源/汇的评估提供基础数据.结果表明: 生长季净碳交换量在日尺度上呈对称的“U”型曲线变化;在季节尺度上,呈双峰曲线变化规律,各月均为碳汇,总固碳量为34.38 g C·m^-2,且9月固碳量较高,为12.31 g C·m^-2,7月最低,为0.89 g C·m^-2.白天生态系统净碳交换随光合有效辐射的增加而增加,符合直角双曲线关系,但当饱和水汽压差大于2.5 kPa时,增加程度减弱.生态系统呼吸与气温呈较好的指数关系,其温度敏感性系数为1.7.整个生长季期间,白天和夜间的净碳交换量均与土壤温度呈显著相关     

数据处理方法不确定性对CO_2通量组分估算的影响

基于中国陆地生态系统通量观测研究网络(ChinaFLUX)4个站点(2个森林站和2个草地站)的涡度相关通量观测资料,分析了CO2通量数据处理过程中异常值剔除参数设置、夜间摩擦风速(u*)临界值(u*c)确定及数据插补模型选择对CO2通量组分估算的影响.结果表明:3种数据处理方法均对净生态系统碳交换量(NEE)年总量估算有显著影响,其中u*c确定是影响NEE估算的重要因子;异常值剔除、u*c确定及数据插补模型选择导致NEE年总量估算偏差分别为0.62～21.31 g C.m-2.a-1(0.84%～65.31%)、4.06～30.28 g C.m-2.a-1(3.76%～21.58%)和0.69～27.73 g C.m-2.a-1(0.23%～55.62%),草地生态系统NEE估算对数据处理方法参数设置更敏感;数据处理方法不确定性引起的总生态系统碳交换量和生态系统呼吸年总量估算相对偏差分别为3.88%～11.41%和6.45%～24.91%.     

浙江天目山老龄森林生态系统CO2通量特征

物种丰富的异龄老龄森林对陆地生态系统动态模型及全球碳收支具有十分重要的意义.目前,我国关于老龄森林碳通量的研究很少,亚热带地区的老龄林更鲜有报道.本研究利用涡度相关技术观测了我国中亚热带地区的浙江天目山一个老龄常绿落叶阔叶混交林生态系统的CO₂通量.以2013年7月到2014年6月的观测数据为依据,分析了此老龄林净生态系统碳交换量(NEE)、生态系统呼吸量(R_e)、生态系统总交换量(GEE)的变化.结果表明: 研究期间,老龄林常绿落叶阔叶混交林生态系统NEE月总量除12、2月为正值外(表现为碳源),其余月份均为负值(表现为碳汇).NEE月总量平均为-61.52 g C·m^-2,各月碳吸收量以6月(-149.40 g C·m^-2)最高,10月次之,呈双峰变化;最大碳源出现在2月(23.45 g C·m^-2).各月NEE平均日变化差异明显,6月的平均通量峰值最大,达到-0.98 mg·m^-2·s^-1,12月最小,为-0.35 mg·m^-2·s^-1;NEE符号改变的时间也呈明显的季节变化特征;全年NEE、R_e、GEE分别为-738.18、931.05、-1669.23 g C·m^-2.与相近纬度相近林型的其他森林生态系统相比,由于其复层结构和多种幼龄更新树木的存在,其测定的固碳量较大.表明我国中亚热带天目山地区的老龄森林生态系统不是处于碳收支稳定状态,而是具有相对较高的固碳能力.     

Decrease in winter respiration explains 25% of the annual northern forest carbon sink enhancement over the last 30 years

Aim Winter snow has been suggested to regulate terrestrial carbon (C) cycling by modifying microclimate, but the impacts of change in snow cover on the annual C budget at a large scale are poorly understood. Our aim is to quantify the C balance under changing snow depth. Location Non‐permafrost region of the northern forest area. Methods Here, we used site‐based eddy covariance flux data to investigate the relationship between depth of snow cover and ecosystem respiration (R_eco) during winter. We then used the Biome‐BGC model to estimate the effect of reductions in winter snow cover on the C balance of northern forests in the non‐permafrost region. Results According to site observations, winter net ecosystem C exchange (NEE) ranged from 0.028 to 1.53 gC·m^?2·day^?1, accounting for 44 ± 123% of the annual C budget. Model simulation showed that over the past 30 years, snow‐driven change in winter C fluxes reduced non‐growing season CO₂ emissions, enhancing the annual C sink of northern forests. Over the entire study area, simulated winter R_eco significantly decreased by 0.33 gC·m^?2·day^?1·year^?1 in response to decreasing depth of snow cover, which accounts for approximately 25% of the simulated annual C sink trend from 1982 to 2009. Main conclusion Soil temperature is primarily controlled by snow cover rather than by air temperature as snow serves as an insulator to prevent chilling impacts. A shallow snow cover has less insulation potential, causing colder soil temperatures and potentially lower respiration rates. Both eddy covariance analysis and model‐simulated results show that both R_eco and NEE are significantly and positively correlated with variation in soil temperature controlled by variation in snow depth. Overall, our results highlight that a decrease in winter snow cover restrains global warming as less C is emitted to the atmosphere.     

四川长宁毛竹林碳储量与碳汇能力估测

利用生物量法研究了四川长宁毛竹林(Phyllostachys edulis)碳密度、碳储量及其空间分配格局,并对毛竹林碳汇能力进行了估算。结果表明:(1)毛竹立竹各器官的平均含碳率波动范围为462.37—480.68 g/kg,不同龄级毛竹各器官含碳率差异不显著。土壤有机碳含量为15.77 g/kg,不同土层差异极显著;(2)毛竹立竹碳储量为40.92 t/hm2,其中竹竿碳储量所占比例为51.49%,竹杆、竹枝、竹叶地上部分碳储量为26.76 t/hm2,占立竹碳储量的65.39%,地上碳储量为地下碳储量的1.89倍;(3)毛竹林总碳储量为156.57 t/hm2,其中土壤是其最大的碳库,为113.54 t/hm2,占总碳储量的72.52%,立竹碳储量所占比例为26.14%,林下植被碳库最小,为0.52 t/hm2,只占总碳储量的0.33%,可忽略不计;(4)毛竹林年生产量为20.28 t/hm2,年固碳量为9.43 t/hm2,相当于每年固定CO2量34.57 t/hm2,固碳能力较强。     

高寒矮嵩草草甸冬季CO2释放特征

冬季碳排放在高寒草地年内碳平衡中占有重要位置。为探讨高寒草地冬季碳排放特征及温度敏感性,于2003-2005年在中国科学院海北高寒草甸生态系统研究站,利用密闭箱-气相色谱法连续观测了高寒矮嵩草草甸2个冬季的生态系统、土壤呼吸通量特征。结果表明:1)高寒矮嵩草草甸冬季生态系统呼吸、土壤呼吸均具有明显的日变化和季节变化规律,温度是其主要的控制因子,能够解释44%以上的呼吸速率变异。2)冬季生态系统呼吸与土壤呼吸速率在统计上没有显著差异,土壤呼吸占生态系统呼吸的比例高达85%以上。3)2003-2004年冬季生态系统呼吸、土壤呼吸的Q₁₀值分别为1.53,1.38;2004-2005年冬季生态系统呼吸与土壤呼吸的Q₁₀值为1.86,1.68,2个冬季生态系统呼吸的Q₁₀值均高于土壤呼吸。4)未发现高寒矮嵩草草甸冷冬年份的Q₁₀值高于暖冬年份以及冬季的Q₁₀值高于生长季。     

1958-2008年太白山太白红杉林碳循环模拟

太白红杉(Larix chinensis林主要分布于我国秦岭太白山的林线位置,对气候变化的响应十分敏感.为了定量分析太白山太白红杉林在气候变化背景下的碳循环特征,基于模型(MTCLIM)模拟的温度和降水数据,应用植被动态过程模型(LPJ-GUESS)模拟了太白山南北坡1958-2008年太白红杉林的净初级生产力(NPP)、生物量和净生态系统碳交换量(NEE).结果表明:1)太白红杉和巴山冷杉(Abies fargesii)的NPP和生物量在太白红杉林占有优势,太白红杉的NPP和生物量均大于巴山冷杉.1958-2008年间太白红杉南北坡NPP的平均值为0.38 kgC·m-2·a-1,巴山冷杉为0.25 kgC·m-2,a-1,两者之和占整个太白红杉林NPP的86％;1958-2008年间太白红杉南北坡生物量的平均值为2.91 kgC/m2,巴山冷杉为2.02 kgC/m2,两者之和占太白红杉林生物量的94％.2)太白红杉和巴山冷杉的NPP均表现为北坡大于南坡,且南北坡均有逐年增加的趋势,北坡的增幅小于南坡,所以太白山南北坡太白红杉林的NPP差异有逐年减少的趋势.3)太白红杉生物量的年际波动较大,南北坡呈交替上升趋势,南坡的平均值(2.94 kgC/m2)大于北坡(2.89 kgC/m2).巴山冷杉生物量的年际波动相对较小,北坡生物量水平大于南坡.4)1958-2008年南北坡太白红杉林平均NEE均为-0.023 kgC·m-2·a-1,表现为碳汇.南北坡碳汇水平均呈逐年增加趋势,南坡的增加幅度(0.91 g·m-2·a-1)大于北坡(0.42 g·m-2·a-1).以气候和CO2为驱动因子对太白山太白红杉林的长期碳循环动态做了定量分析,从机理上揭示气候变化与生态系统碳循环的关系,还需要做进一步的野外观测和控制实验研究.     

Seasonal variations of CO2 and water vapour exchange rates over a temperate deciduous forest

Long-term and direct measurements of CO₂ and water vapour exchange are needed over forested ecosystems to determine their net annual fluxes of carbon dioxide and water. Such measurements are also needed to parameterize and test biogeochemical, ecological and hydrological assessment models. Responding to this need, eddy covariance measurements of CO₂ and water vapour were made ever a deciduous forest growing near Oak Ridge, TN, between April 1993 and April 1994. Periodic measurements were made of leaf area index, stomatal resistance, soil moisture and pre-dawn leaf water potential to characterize the gas exchange capacity of the canopy. Four factors had a disproportionate influence on the seasonal variation of CO₂ flux densities. These factors were photon flux densities (during the growing season), temperature (during the dormant season), leaf area index and the occurrence of drought The drought period occurred during the peak of the growing season and caused a significant decline in daily and hourly CO₂ flux densities, relative to observations over the stand when soil moisture was plentiful. The annual net uptake of carbon was calculated by integrating flux measurements and filling missing and spurious data with the relations obtained between measured CO₂ fluxes and environmental forcing variables. The net flux of carbon for the period between April 1993 and April 1994 was -525 g C m^?2 y^?1. This value represents a net flux of carbon from the atmosphere and into the forest. The net annual carbon exchange of this southern temperate broadleaved forest exceeded values measured over a northern temperate forest (which experiences a shorter growing season and has less leaf area) by 200 g C m^?2 y^?1 (cf. Wofsy et al 1993). The seasonal variation of canopy evaporation (latent heat flux) was controlled mostly by changes in leaf area and net radiation. A strong depression in evaporation rates was not observed during the drought Over a broadleaved forest large vapour pressure deficits promote evaporation and trees in a mixed stand are able to tap a variety of deep and shallow water sources.     

Simulating seasonal and inter-annual variations in energy and carbon exchanges and forest dynamics using a process-based atmosphere�Cvegetation dynamics model

The present paper shows simulated results of seasonal and inter-annual variations in energy and carbon exchanges and forest dynamics in a sub-boreal deciduous forest using a fully coupled atmosphere?Cvegetation interaction model [multilayered integrated numerical model of surface physics-growing plants interaction (MINoSGI)]. With careful adjustment of site-specific eco-physiological parameters, MINoSGI reproduced successfully stand biomass?Ctree density relationship based on the forest inventory data for 7 years (1999?C2005) and seasonal and inter-annual variations in energy and CO₂ fluxes measured by means of eddy covariance technique for 3 years (2003?C2005) in the sub-boreal forest, northern Japan. In addition, MINoSGI estimated annual evapotranspiration (E _vt) at 328.6 ± 25.8 mm year^?1, net primary production (NPP) at 372.1 ± 31.5 gC m^?2 year^?1 and net ecosystem exchange (NEE) at ?224.2 ± 32.2 gC m^?2 year^?1. We found the estimate of annual NEE in our site lies among the estimates at other forest stands with the almost same climatic conditions in northern Japan, although the tree species and stand age of these forests are different from those of our site. Overall, MINoSGI was found useful to present simultaneous simulations of forest dynamics, surface energy, and carbon exchanges of a forest stand in the future from micro-meteorological and ecophysiological points of view.     

Biogenic fluxes of carbon dioxide in the old-growth spruce forest in the middle taiga: Results of eddy covariance measurements

Fluxes of carbon dioxide in the old-growth bilberry spruce forest in the European Taiga are measured by the eddy covariance technique. A carbon dioxide sink to the ecosystem was observed from April until September; the maximum net-exchange rate of carbon dioxide was recorded in July. During the cold period of the year from October to March, the biogenic flux of CO₂ was directed from the forest canopy to the atmosphere. According to measurements at u* > 0.2, the total annual NEE was 219 g C m^–2; the annual values of the ecosystem respiration R _eco and the gross photosynthesis P _gross were 483 and 966 g C m^–2, respectively. The conclusion is that the old-growth bilberry spruce forest in the middle taiga subzone was the sink of carbon from the atmosphere during the year of observation.     

西南喀斯特地区轮作旱地土壤CO2通量

中国已承诺大幅降低单位GDP碳排放,农业正面临固碳减排的重任.西南喀斯特地区环境独特,旱地面积占据优势比例,土壤碳循环认识亟待加强.以贵州省开阳县玉米-油菜轮作旱地为研究对象,采用密闭箱-气相色谱法对整个轮作期土壤CO2释放通量进行了观测研究,结果表明:(1)整个轮作期旱地均表现为CO2的释放源.其中油菜生长季土壤CO2通量为(178.8±104.8)mg CO2·m-2·h-1,玉米生长季为(403.0±178.8) mg CO2·m-2·h-1,全年平均通量为(271.1±176.4) mg CO2·m-2·h-1,高于纬度较高地区的农田以及同纬度的次生林和松林;(2)CO2通量日变化同温度呈现显著正相关关系,季节变化与温度呈现显著指数正相关关系,并受土壤湿度的影响,基于大气温度计算得出的Q10为2.02,高于同纬度松林以及低纬度的常绿阔叶林;(3)CO2通量与土壤pH存在显著线性正相关关系,显示出土壤pH是研究区旱地土壤呼吸影响因子之一.     

安吉毛竹林水汽通量变化特征及其与环境因子的关系

以浙江省安吉县毛竹(Phyllostachys edulis)林生态系统为研究对象,利用涡度相关技术进行观测,获取2011年毛竹林的水汽通量数据,同时结合常规气象观测数据,分析了水汽通量全年变化。结果表明:毛竹林全年水汽通量基本为正值,月尺度上,水汽通量呈单峰型变化趋势,且各月的最大值均在12:00—14:00出现,呈现一定规律性,7月(0.1116 g m-2s-1)最高,12月(0.0209 g m-2s-1)最低;季节尺度上,夏季最高(0.0873 g m-2s-1),呈现典型单峰型变化趋势,春秋季(均为0.0541 g m-2s-1)次之,变化特征与夏季相似,冬季最低(0.0221 g m-2s-1),曲线变化复杂,波动较大。毛竹林全年蒸散量占全年降水量48.26%。2、4、5、11、12月蒸散量略大于降水量,其余月份蒸散量均小于降水量,6月份降水量与蒸散量差别最大。季节尺度上,对毛竹林水汽通量与净辐射进行回归关系分析,夏季最大,R2为0.6111,秋季为0.5295,春季为0.2605,冬季最小0.0455。通过F检验,水汽通量与净辐射有极显著线性关系。在植物生长期,毛竹林水汽通量随饱和水汽压差的增大而增大,植物发育成熟后,当饱和水汽压差增大到一定程度时,其增大反而抑制了水分的蒸散。     

The production of phytolith‐occluded carbon in China's forests: implications to biogeochemical carbon sequestration

The persistent terrestrial carbon sink regulates long‐term climate change, but its size, location, and mechanisms remain uncertain. One of the most promising terrestrial biogeochemical carbon sequestration mechanisms is the occlusion of carbon within phytoliths, the silicified features that deposit within plant tissues. Using phytolith content–biogenic silica content transfer function obtained from our investigation, in combination with published silica content and aboveground net primary productivity (ANPP) data of leaf litter and herb layer in China's forests, we estimated the production of phytolith‐occluded carbon (PhytOC) in China's forests. The present annual phytolith carbon sink in China's forests is 1.7 ± 0.4 Tg CO₂ yr ^{? 1}, 30% of which is contributed by bamboo because the production flux of PhytOC through tree leaf litter for bamboo is 3–80 times higher than that of other forest types. As a result of national and international bamboo afforestation and reforestation, the potential of phytolith carbon sink for China's forests and world's bamboo can reach 6.8 ± 1.5 and 27.0 ± 6.1 Tg CO₂ yr^?1, respectively. Forest management practices such as bamboo afforestation and reforestation may significantly enhance the long‐term terrestrial carbon sink and contribute to mitigation of global climate warming.