增氮对青藏高原东缘典型高寒草甸土壤有机碳组成的影响

土壤有机碳动态是陆地生态系统碳平衡研究的关键环节,有关青藏高原高寒草甸土壤有机碳组成对大气氮沉降增加的响应研究至今尚未开展。基于中国科学院海北生态站的大气氮沉降模拟控制实验平台,于2010年5月、7月和9月中旬分别测定不同施氮处理下0—10cm、10—20cm、20—30cm土壤中粗颗粒态有机碳(CPOC)、细颗粒态有机碳(FPOC)和矿质结合有机碳(MOC)含量,研究不同施氮类型(NH4Cl,(NH4)2SO4和KNO3)和施氮水平(0、10、20、40 kgN.hm-.2a-1)对土壤POC和MOC含量以及POC/MOC比值的影响。结果表明:青藏高原高寒草甸土壤POC积聚在土壤表层,占总土壤有机碳(SOC)含量的64%以上,稳定性较差。施氮水平显著改变了土壤CPOC、FPOC和MOC含量,而施氮类型的影响不显著。不同月份土壤POC和MOC含量对增氮的响应不同,反映了SOC组分对增氮响应的时间异质性。在生长季中期,施氮倾向于增加表层土壤POC含量,而在生长季初期和末期恰好相反。土壤MOC对增氮的响应不敏感。另外,施氮显著降低生长季初期表层土壤POC/MOC比例,SOC稳定性增加。表明,青藏高原高寒草甸土壤有机碳活性组分较高,未来大气氮沉降增加短期内即可降低活性有机碳含量,相应地改变了其组成和稳定性。     

生态恢复对红壤侵蚀地土壤有机碳组成及稳定性的影响

为了研究红壤侵蚀区生态恢复过程中土壤有机碳的组成与动态变化,选择红壤侵蚀区生态恢复10 a和30 a的马尾松林为对象,以侵蚀裸地和次生林为对照,应用土壤有机碳物理分组方法,研究了侵蚀地植被恢复过程中表层土壤粗颗粒态有机碳(cPOC)、细颗粒态有机碳(f POC)和矿质结合有机碳(MOC)含量及POC/MOC比值的变化。结果表明:生态恢复显著提高了土壤有机碳含量(P0.05),土壤中不同组分有机碳含量也相应增加。生态恢复10 a,土壤有机碳主要以f POC形式积累,cPOC和MOC没有显著变化,其中0—10 cm土层POC占总土壤有机碳(SOC)比例高达64.1%,但稳定性较差。与恢复10 a相比,生态恢复至30 a时,0—10 cm土壤f POC含量相对不变,cPOC和MOC含量均显著增加(P0.05),10—20 cm土壤f POC和MOC增加量达到显著水平,而cPOC含量仍未显著增加,说明生态恢复过程中土壤固碳模式符合SOC饱和理论。生态恢复过程中土壤POC/MOC比值呈先升高后降低的趋势,且表层土壤大于亚表层土壤,说明随着生态恢复时间的增加,土壤有机碳稳定性逐渐提高,且亚表层土壤高于表层。因此,生态恢复对于侵蚀地碳固定的长期有效性具有重要意义。     

喀斯特山区不同植被类型土壤有机碳的变化

研究了贵州西南部典型喀斯特山区不同植被类型下常规土壤及小生境土壤中有机碳及不同粒径土壤颗粒有机碳的变化.结果表明:不同植被类型下,常规及小生境土壤有机碳含量均表现为:裸地＜草丛＜灌木林＜乔木林,常规土壤变幅在7.18 ～43.42 g·kg-1,土面和石坑土壤有机碳变幅分别为6.62 ～46.47 g· kg-1和9.01 ～52.07 g·kg-1;颗粒有机碳(POC)/矿物结合态有机碳( MOC)值均为:裸地＜草丛＜乔木林＜灌木林,同一植被类型下,与常规及土面相比,石坑中土壤POC/MOC值最高;植被在由裸地-草丛-灌木林-乔木林的变化过程中,不同粒径土壤颗粒有机碳含量增加,而土壤有机碳主要以砂粒及粉砂粒有机碳形式存在,说明喀斯特地区土壤的固碳能力及有机碳稳定性较弱,土壤易受外界干扰而引发有机碳流失,土壤质量存在下降或退化的风险.     

Nitrogen increases soil organic carbon accrual and alters its functionality

Nitrogen (N) availability has been considered as a critical factor for the cycling and storage of soil organic carbon (SOC), but effects of N enrichment on the SOC pool appear highly variable. Given the complex nature of the SOC pool, recent frameworks suggest that separating this pool into different functional components, for example, particulate organic carbon (POC) and mineral-associated organic carbon (MAOC), is of great importance for understanding and predicting SOC dynamics. Importantly, little is known about how these N-induced changes in SOC components (e.g., changes in the ratios among these fractions) would affect the functionality of the SOC pool, given the differences in nutrient density, resistance to disturbance, and turnover time between POC and MAOC pool. Here, we conducted a global meta-analysis of 803 paired observations from 98 published studies to assess the effect of N addition on these SOC components, and the ratios among these fractions. We found that N addition, on average, significantly increased POC and MAOC pools by 16.4% and 3.7%, respectively. In contrast, both the ratios of MAOC to SOC and MAOC to POC were remarkably decreased by N enrichment (4.1% and 10.1%, respectively). Increases in the POC pool were positively correlated with changes in aboveground plant biomass and with hydrolytic enzymes. However, the positive responses of MAOC to N enrichment were correlated with increases in microbial biomass. Our results suggest that although reactive N deposition could facilitate soil C sequestration to some extent, it might decrease the nutrient density, turnover time, and resistance to disturbance of the SOC pool. Our study provides mechanistic insights into the effects of N enrichment on the SOC pool and its functionality at global scale, which is pivotal for understanding soil C dynamics especially in future scenarios with more frequent and severe perturbations.     

不同退耕年限对菜子湖湿地表土有机碳组分与质量的影响

退耕还湿后土壤有机碳不同组分变化和有机碳质量的评价是退耕湿地生态恢复研究的重要内容。对安徽菜子湖湿地不同退耕年限(2、5、8、10和20a)的湿地土壤总有机碳(TOC)、颗粒态有机碳(POC)和矿物结合态有机碳(MOC)的含量与有机碳质量进行了研究。结果表明,随着退耕年限增加,土壤TOC、POC、MOC含量均有显著增加,且退耕后土壤有机碳增加过程中,以POC为代表的活性有机碳优先恢复,而以MOC为代表的稳定有机碳恢复相对滞后。随着退耕年限增加,POC/MOC、TOC和POC的层化比(SR)增加,反映有机碳的活性明显提高。退耕期间所增加的有机碳在组成上以易降解的POC为主,在分布上以易降解的表层有机碳居多,因此有机碳库的稳定性并未明显提高。通过计算碳库管理指数(CPMI),发现土壤质量随着退耕年数增加而提高,根据CPMI变化趋势线,土壤质量大约需要13a才能恢复到对照水平;退耕湿地生态恢复过程中,有机碳数量(碳库指数CPI)恢复较快,而有机碳质量(碳库活度指数AI)恢复需要较长的时间,二者分别需7.6和22.7a恢复到对照水平。     

棉花长期连作结合秸秆还田对土壤颗粒有机碳及红外光谱特征的影响

以新疆玛纳斯河流域长期连作棉田为研究对象,采用傅里叶红外光谱技术(FTIR)分析不同连作年限[0(对照)、5、10、15和20年]棉田土壤红外光谱特征,分析连作结合秸秆还田对土壤有机碳结构和稳定性的影响.结果表明: 随连作年限增加,土壤有机质中多糖和芳香族基团相对峰强度下降,脂肪族和醇酚相对峰强度上升,脂肪族-CH/芳香族C=C逐年升高.连作5年土壤颗粒有机碳含量最高,比对照土壤高5.11倍,之后随连作年限增加颗粒有机碳含量逐渐降低;连作10年土壤矿物结合态有机碳含量最高,比对照高1.84倍,连作5年土壤颗粒有机碳与矿物结合态有机碳含量之比(ω(POC)/ω(MOC))最高,之后随连作年限增加开始下降.综上,棉田长期连作结合秸秆还田后土壤有机质结构趋于脂肪化,土壤矿物结合对有机质保护性升高,有机质稳定性升高.     

滇南地区桃树种植模式对土壤有机碳组分及碳库管理指数的影响

经果林种植可改变土壤质量、改善生态环境,同时具有较高的经济效益。合理的种植模式可通过物种间的互补性提高资源利用效率,改善土壤碳库质量并提高综合效益。为探讨桃树种植模式对土壤有机碳组分及碳库管理指数的影响,以云南省开远市不同桃树种植模式(桃树单种-SP和桃树南瓜套种-PP)为研究对象,以毗邻的天然林地(CK)为对照,分析不同种植模式下活性碳库,即高锰酸钾氧化有机碳(POXC)、颗粒有机碳(POC),惰性有机碳库即矿物结合态有机碳(MAOC)在0—40 cm土层的分布情况,明确土壤有机碳组分与土壤理化性质的关系;计算碳库活度指数(CPAI)、碳库指数(CPI)以及碳库管理指数(CPMI),明确不同桃树种植模式的碳库变化情况。结果表明：桃树种植模式和对照的土壤有机碳组分的含量均随着土层深度的增加而减少,平均土壤有机碳(SOC)含量为：14.68 g/kg(CK)>9.57 g/kg(PP)>8.58 g/kg(SP)。平均活性有机碳组分所占比例与POC/MAOC均表现为：SP>CK>PP,PP的活性有机碳比例较低,具有较高的有机碳稳定性。两种桃树种植模式的CPMI在1...     

桂西北喀斯特峰丛洼地不同植被恢复方式下土壤有机碳组分变化特征

植被恢复被认为是提升退化区域土壤有机碳（SOC）固持的有效措施。然而,喀斯特脆弱生态系统植被人工恢复和自然恢复模式下SOC不同组分变化特征、稳定性和固持能力的研究还较缺乏。以典型喀斯特峰丛洼地为研究区,以耕地为对照,以恢复15年的人工恢复（人工林）和自然恢复（耕地撂荒后植被自然演替为灌丛）为研究对象,分析不同植被恢复模式下SOC、颗粒态有机碳（POC）、矿质结合态有机碳（MOC）、易氧化态有机碳（ROC）、惰性碳指数（RI）和SOC相对固持能力（SCS_capacity）变化特征。结果发现：（1）人工林和灌丛SOC、POC和ROC含量显著高于耕地,且灌丛POC和ROC含量显著高于人工林,MOC则在三者之间差异不显著;（2）与耕地相比,人工林和灌丛RI显著下降,但SCS_capacity差异不显著。研究表明,桂西北喀斯特峰丛洼地植被恢复15年后主要提升土壤活性碳组分,且自然恢复比人工恢复更有利于于提升土壤活性碳组分;然而,耕地退耕后短期内土壤碳稳定性并未增加,强调植被恢复后避免再次毁林开荒对于维持土壤碳固持的必要性。     

西南喀斯特石漠化环境下土地利用变化对土壤有机碳及其组分的影响

土壤有机碳是喀斯特生态系统中碳转移的动力学媒介和碳流通的主要途径,土壤有机碳及其组分是土壤碳循环的重要组成部分,然而目前缺乏关于喀斯特地区土壤有机碳及其组分的研究。本研究以西南典型喀斯特石漠化区——贵州关岭花江6种典型土地利用方式下(花椒林、火龙果林、花椒火龙果混交林、圆柏林、圆柏女贞混交林和坡耕地)的土壤为研究对象,分析土地利用方式变化对土壤有机碳含量(SOC)和储量(SOCS)、土壤水溶性有机碳(WSOC)、易氧化有机碳(EOC)、颗粒有机碳(POC)、轻组有机碳(LFOC)及重组有机碳(HFOC)含量及其分配比例的影响。结果表明: 6种土地利用方式下SOC和SOCS均表现为圆柏林、圆柏女贞混交林和花椒林显著大于火龙果林、花椒火龙果混交林和坡耕地;在0～20 cm土层,土壤SOCS平均值为花椒林＞圆柏林＞圆柏女贞混交林＞坡耕地＞花椒火龙果混交林＞火龙果林。土壤WSOC、EOC、POC、LFOC和HFOC含量均表现为圆柏林、圆柏女贞混交林和花椒林大于其他3种土地类型。土壤SOC与其各组分(WSOC、EOC、POC、LFOC和HFOC)均呈显著正相关,且各组分两两之间也呈显著正相关。花椒林可作为中国西南喀斯特石漠化生态恢复和山地农业发展优先考虑的经济物种。土壤WSOC、EOC、POC、LFOC和HFOC可作为反映土壤有机碳库的有效指标。     

Soil organic carbon dynamics jointly controlled by climate,carbon inputs,soil properties and soil carbon fractions

Soil organic carbon (SOC) dynamics are regulated by the complex interplay of climatic, edaphic and biotic conditions. However, the interrelation of SOC and these drivers and their potential connection networks are rarely assessed quantitatively. Using observations of SOC dynamics with detailed soil properties from 90 field trials at 28 sites under different agroecosystems across the Australian cropping regions, we investigated the direct and indirect effects of climate, soil properties, carbon (C) inputs and soil C pools (a total of 17 variables) on SOC change rate (r_C, Mg C ha^?1 yr^?1). Among these variables, we found that the most influential variables on r_C were the average C input amount and annual precipitation, and the total SOC stock at the beginning of the trials. Overall, C inputs (including C input amount and pasture frequency in the crop rotation system) accounted for 27% of the relative influence on r_C, followed by climate 25% (including precipitation and temperature), soil C pools 24% (including pool size and composition) and soil properties (such as cation exchange capacity, clay content, bulk density) 24%. Path analysis identified a network of intercorrelations of climate, soil properties, C inputs and soil C pools in determining r_C. The direct correlation of r_C with climate was significantly weakened if removing the effects of soil properties and C pools, and vice versa. These results reveal the relative importance of climate, soil properties, C inputs and C pools and their complex interconnections in regulating SOC dynamics. Ignorance of the impact of changes in soil properties, C pool composition and C input (quantity and quality) on SOC dynamics is likely one of the main sources of uncertainty in SOC predictions from the process‐based SOC models.     

Microbial models with data‐driven parameters predict stronger soil carbon responses to climate change

Long‐term carbon (C) cycle feedbacks to climate depend on the future dynamics of soil organic carbon (SOC). Current models show low predictive accuracy at simulating contemporary SOC pools, which can be improved through parameter estimation. However, major uncertainty remains in global soil responses to climate change, particularly uncertainty in how the activity of soil microbial communities will respond. To date, the role of microbes in SOC dynamics has been implicitly described by decay rate constants in most conventional global carbon cycle models. Explicitly including microbial biomass dynamics into C cycle model formulations has shown potential to improve model predictive performance when assessed against global SOC databases. This study aimed to data‐constrained parameters of two soil microbial models, evaluate the improvements in performance of those calibrated models in predicting contemporary carbon stocks, and compare the SOC responses to climate change and their uncertainties between microbial and conventional models. Microbial models with calibrated parameters explained 51% of variability in the observed total SOC, whereas a calibrated conventional model explained 41%. The microbial models, when forced with climate and soil carbon input predictions from the 5th Coupled Model Intercomparison Project (CMIP5), produced stronger soil C responses to 95 years of climate change than any of the 11 CMIP5 models. The calibrated microbial models predicted between 8% (2‐pool model) and 11% (4‐pool model) soil C losses compared with CMIP5 model projections which ranged from a 7% loss to a 22.6% gain. Lastly, we observed unrealistic oscillatory SOC dynamics in the 2‐pool microbial model. The 4‐pool model also produced oscillations, but they were less prominent and could be avoided, depending on the parameter values.     

秸秆还田对土壤有机碳不同活性组分储量及分配的影响

通过田间试验,研究了不同秸秆还田模式下土壤溶解性有机碳(DOC)、颗粒有机碳(POC)和矿物结合有机碳(MOC)储量及其在总有机碳(TOC)中的分配比例.结果表明: 相对于翻压还田(WR),小麦秸秆覆盖还田(WM)0～20 cm耕层TOC和MOC储量显著降低,降幅为4.1%和9.7%,DOC和POC储量显著提高,增幅为207.7%和11.9%;20～40 cm犁底层TOC和POC储量显著提高.玉米秸秆覆盖还田(MM)与MR相比,犁底层TOC和MOC储量显著提高,增幅为13.6%和14.6%.小麦-玉米秸秆均覆盖还田(WM-MM)相对于均翻压还田(WR-MR),耕层TOC和MOC储量显著降低,降幅为8.5%和10.3%.玉米秸秆还田耕层TOC和POC储量显著高于小麦秸秆还田.与对照(秸秆不还田)相比,6种还田模式耕层TOC储量增幅为5.2%～18.0%,差异达显著水平;除WM和MM模式外,犁底层TOC储量显著降低(降幅8.0%～11.5%).6种还田模式下土壤耕层DOC储量及DOC/TOC比值显著降低,在WM和WM-MM还田模式下耕层POC储量显著提高、POC/TOC比值增大,WR模式的耕层MOC储量显著提高、MOC/TOC比值增大,其余3种模式耕层POC和MOC储量均显著提高.秸秆覆盖还田有利于土壤有机碳活性组分积累,翻压还田有利于较稳定性有机碳组分积累.在提高关中地区农田TOC储量方面,玉米秸秆还田好于小麦秸秆还田、小麦-玉米秸秆翻压还田好于覆盖还田.     

Climate warming alters subsoil but not topsoil carbon dynamics in alpine grassland

Subsoil contains more than half of soil organic carbon (SOC) globally and is conventionally assumed to be relatively unresponsive to warming compared to the topsoil. Here, we show substantial changes in carbon allocation and dynamics of the subsoil but not topsoil in the Qinghai‐Tibetan alpine grasslands over 5 years of warming. Specifically, warming enhanced the accumulation of newly synthesized (¹⁴C‐enriched) carbon in the subsoil slow‐cycling pool (silt‐clay fraction) but promoted the decomposition of plant‐derived lignin in the fast‐cycling pool (macroaggregates). These changes mirrored an accumulation of lipids and sugars at the expense of lignin in the warmed bulk subsoil, likely associated with shortened soil freezing period and a deepening root system. As warming is accompanied by deepening roots in a wide range of ecosystems, root‐driven accrual of slow‐cycling pool may represent an important and overlooked mechanism for a potential long‐term carbon sink at depth. Moreover, given the contrasting sensitivity of SOC dynamics at varied depths, warming studies focusing only on surface soils may vastly misrepresent shifts in ecosystem carbon storage under climate change.     

鼎湖山森林土壤活性碳及惰性碳沿海拔梯度的变化

对鼎湖山3个不同海拔高度下的沟谷雨林(LA)、低地常绿阔叶林(MA)和山地常绿阔叶林(UA)的土壤活性碳库和惰性碳库进行了研究。结果表明:(1)土壤总碳库仅在30—45 cm土层中存在显著差异且碳库大小随着海拔的增加而增加。(2)土壤微生物生物量碳(MBC)碳库在0—15 cm是LA和MA显著大于UA,在30—45 cm是MA和UA显著高于LA,在45—60 cm土层中MA最大。水溶性碳(WSOC)和颗粒碳(POC)碳库均不随海拔高度而改变。WSOC碳库占总碳库的百分比仅在30—45cm土层中存在差异且大小顺序为:LAUAMA,POC碳库占总碳库的百分比仅在土层15—30 cm上存在显著差异且MA比值最大。易氧化性碳(ROC)碳库及占总碳库百分比都是在表层土壤(0—15 cm)中产生显著变化,且UA极显著地大于LA和MA。(3)惰性碳(RC)碳库仅在深层土壤中存在显著差异且MA中RC碳库最大,UA次之,LA最小。RC碳库占总碳库比值仅在表层土壤0—15 cm存在显著差异且UA最大。表层土壤中ROC碳库和RC碳库占总碳库百分比的增加是导致中高海拔森林土壤总碳库最大的主要原因。(4)不同海拔高度上森林土壤理化性质与土壤碳库组成存在显著相关,土壤理化性质的改变是引起不同海拔高度森林土壤碳库组成变化的重要原因。     

南方红壤丘陵区不同土地利用方式下土壤有机碳分布特征及其与草本生物量的关系

不同土地利用方式下不同粒径土壤有机碳含量的变化可以在一定程度上反映土壤碳的变化,对揭示土壤有机碳循环过程具有重要意义.本研究在长期水土流失监测的基础上,采用土壤颗粒分级的方法,以南方红壤丘陵区不同土地利用方式(荒地、松林、草地)坡地土壤为研究对象,探讨了不同土地利用方式对不同粒径土壤有机碳分布特征的影响及其与草本生物量的关系.结果表明:土地利用方式和坡位对不同粒径土壤有机碳含量的影响较明显,研究区不同粒径土壤有机碳含量均表现为草地＞松林＞荒地;不同粒径土壤有机碳所占比例主要取决于土地利用方式,与坡位关系不大;由颗粒有机碳/矿物结合态有机碳(POC/MOC)值可知,草地土壤有机碳较易矿化,而荒地和松林土壤有机碳较稳定;红壤丘陵区坡地土壤砂粒有机碳对草本生物量的影响较大.     

Effects of grazing intensity on soil carbon stocks following deforestation of a Hawaiian dry tropical forest

The effects of forest-to-pasture conversion on soil carbon (C) stocks depend on a combination of climatic and management factors, but factors that relate to grazing intensity are perhaps the least understood. To understand the long-term impact of grazing in converted pastures, methods are needed that accurately measure the impact of grazing on recent plant inputs to soil C in a variety of pasture management and climate settings. Here, we present an analysis from Hawai'i of changes in vegetation structure and soil organic carbon (SOC) along gradients of grazing intensity and elevation in pastures converted from dry tropical forest 100 years ago. We used hyperspectral remote sensing of photosynthetic vegetation, nonphotosynthetic vegetation (NPV) and exposed substrate to understand the effects of grazing on plant litter cover, thus, estimating recent plant inputs to soils (the NPV component). Forest-to-pasture conversion caused a shift from C3 to C4 plant physiology, thus the δ ¹³C method was used in soil cores to measure the fraction of SOC accumulated from pasture vegetation sources following land conversion. SOC decreased in pasture by 5–9 kg C m⁻², depending upon grazing intensity. SOC derived from C3 (forest) sources was constant across the grazing gradient, indicating that the observed variation in SOC was attributable to changes in C inputs following deforestation. Soil C stocks were also reduced in pastures relative to forest soils. We found that long-term grazing lowers SOC following Hawaiian forest-to-pasture conversion, and that these changes are larger in magnitude that those occurring with elevation (climate). Further we demonstrate a relationship between remotely sensed measurements of surface litter and field SOC measurements, allowing for regional analysis of pasture condition and C storage where limited field data are available.     

Conversion from forests to pastures in the Colombian Amazon leads to contrasting soil carbon dynamics depending on land management practices

Strategies to mitigate climate change by reducing deforestation and forest degradation (e.g. REDD+) require country‐ or region‐specific information on temporal changes in forest carbon (C) pools to develop accurate emission factors. The soil C pool is one of the most important C reservoirs, but is rarely included in national forest reference emission levels due to a lack of data. Here, we present the soil organic C (SOC) dynamics along 20 years of forest‐to‐pasture conversion in two subregions with different management practices during pasture establishment in the Colombian Amazon: high‐grazing intensity (HG) and low‐grazing intensity (LG) subregions. We determined the pattern of SOC change resulting from the conversion from forest (C3 plants) to pasture (C4 plants) by analysing total SOC stocks and the natural abundance of the stable isotopes ¹³C along two 20‐year chronosequences identified in each subregion. We also analysed soil N stocks and the natural abundance of ¹⁵N during pasture establishment. In general, total SOC stocks at 30 cm depth in the forest were similar for both subregions, with an average of 47.1 ± 1.8 Mg C ha^?1 in HG and 48.7 ± 3.1 Mg C ha^?1 in LG. However, 20 years after forest‐to‐pasture conversion SOC in HG decreased by 20%, whereas in LG SOC increased by 41%. This net SOC decrease in HG was due to a larger reduction in C3‐derived input and to a comparatively smaller increase in C4‐derived C input. In LG both C3‐ and C4‐derived C input increased along the chronosequence. N stocks were generally similar in both subregions and soil N stock changes during pasture establishment were correlated with SOC changes. These results emphasize the importance of management practices involving low‐grazing intensity in cattle activities to preserve SOC stocks and to reduce C emissions after land‐cover change from forest to pasture in the Colombian Amazon.     

Networking our science to characterize the state,vulnerabilities, and management opportunities of soil organic matter

Soil organic matter (SOM) supports the Earth's ability to sustain terrestrial ecosystems, provide food and fiber, and retains the largest pool of actively cycling carbon. Over 75% of the soil organic carbon (SOC) in the top meter of soil is directly affected by human land use. Large land areas have lost SOC as a result of land use practices, yet there are compensatory opportunities to enhance productivity and SOC storage in degraded lands through improved management practices. Large areas with and without intentional management are also being subjected to rapid changes in climate, making many SOC stocks vulnerable to losses by decomposition or disturbance. In order to quantify potential SOC losses or sequestration at field, regional, and global scales, measurements for detecting changes in SOC are needed. Such measurements and soil‐management best practices should be based on well established and emerging scientific understanding of processes of C stabilization and destabilization over various timescales, soil types, and spatial scales. As newly engaged members of the International Soil Carbon Network, we have identified gaps in data, modeling, and communication that underscore the need for an open, shared network to frame and guide the study of SOM and SOC and their management for sustained production and climate regulation.     

Temporal response of soil organic carbon after grassland‐related land‐use change

The net flux of CO₂ exchanged with the atmosphere following grassland‐related land‐use change (LUC) depends on the subsequent temporal dynamics of soil organic carbon (SOC). Yet, the magnitude and timing of these dynamics are still unclear. We compiled a global data set of 836 paired‐sites to quantify temporal SOC changes after grassland‐related LUC. In order to discriminate between SOC losses from the initial ecosystem and gains from the secondary one, the post‐LUC time series of SOC data was combined with satellite‐based net primary production observations as a proxy of carbon input to the soil. Globally, land conversion from either cropland or forest into grassland leads to SOC accumulation; the reverse shows net SOC loss. The SOC response curves vary between different regions. Conversion of cropland to managed grassland results in more SOC accumulation than natural grassland recovery from abandoned cropland. We did not consider the biophysical variables (e.g., climate conditions and soil properties) when fitting the SOC turnover rate into the observation data but analyzed the relationships between the fitted turnover rate and these variables. The SOC turnover rate is significantly correlated with temperature and precipitation (p < 0.05), but not with the clay fraction of soils (p > 0.05). Comparing our results with predictions from bookkeeping models, we found that bookkeeping models overestimate by 56% of the long‐term (100 years horizon) cumulative SOC emissions for grassland‐related LUC types in tropical and temperate regions since 2000. We also tested the spatial representativeness of our data set and calculated SOC response curves using the representative subset of sites in each region. Our study provides new insight into the impact grassland‐related LUC on the global carbon budget and sheds light on the potential of grassland conservation for climate mitigation.     

农田生态系统土壤有机碳库及其影响因子

土壤有机碳(SOC)的数量和质量在很大程度上与维持和提高土壤肥力密切相关。农田生态系统土壤碳库研究一直是农业、生态和环境领域的一个主要方向。土地利用、耕作、作物类型、种植密度、灌溉、施肥以及其他人为活动等,对农田生态系统土壤有机碳库的变化均能产生影响。本文综合评述了农田生态系统土壤有机碳库及其影响因子,土壤碳截获潜力,维持和提高土壤有机碳库的措施,以及农田土壤碳截获在温室气体减排及气候变化中的潜在作用等,最后提出了农田生态系统土壤有机碳库研究的主要方向。