Glomalin: an arbuscular mycorrhizal fungal soil protein

Glomalin is abundant in soils and is closely correlated with aggregate water stability. Glomalin contains carbon and, hence, constitutes a non-trivial portion of the terrestrial carbon pool. Possibly far more importantly, however, stabilization of aggregates amplifies the role of glomalin in soils because carbonaceous compounds are protected from degradation inside of aggregates. Increased atmospheric CO₂ can lead to increased production of glomalin because of the symbiotic association that exists between plants and producers of glomalin, arbuscular mycorrhizal fungi (AMF). Glomalin concentrations in soils are influenced by management practices, for example, in agroecosystems, further highlighting the role of this protein in carbon storage. Glomalin is an unusual molecule that has proven difficult to analyze biochemically due to its recalcitrance and complexity. Future research will be directed towards the elucidation of its structure and controls on its production.     

Mechanisms for changes in soil carbon storage with pasture to Pinus radiata land-use change

In this study, we simulated pasture to Pinus radiata land‐use change with the Generic Decomposition And Yield (G'DAY) ecosystem model to examine mechanisms responsible for the change in soil carbon (C) under pine. We parameterized the model for paired sites in New Zealand. Our simulations successfully reproduced empirical trends in ecosystem productivity and soil inorganic nitrogen (N), and modeled an increase in soil C and a small decline in soil N after 30 years under pine. We determined the mechanisms contributing to soil C change based on an established hypothesis that attributes increases in soil C storage to three main factors: increased ecosystem N inputs relative to outputs, increased C/N ratios in plant and soil, or a shift of N from plant to soil. The mechanisms we attributed to the simulated increase in soil C under pine were increased soil C inputs through tree litterfall, and an increase in the soil C/N ratio. In the first 7 years following pine establishment, a decline in soil C was simulated; this was matched by a decline in soil N. The simulated longer‐term increase in soil C with afforestation by pine contrasts with results from published field studies, which show either a decline or no change in soil C under pine. The discrepancy between measured and simulated changes in soil C was attributed to the G'DAY model overestimating the transfer of litter C into the mineral soil.     

Litter type and soil minerals control temperate forest soil carbon response to climate change

Temperate forest soil organic carbon (C) represents a significant pool of terrestrial C that may be released to the atmosphere as CO₂ with predicted changes in climate. To address potential feedbacks between climate change and terrestrial C turnover, we quantified forest soil C response to litter type and temperature change as a function of soil parent material. We collected soils from three conifer forests dominated by ponderosa pine (PP; Pinus ponderosa Laws.); white fir [WF; Abies concolor (Gord. and Glend.) Lindl.]; and red fir (RF; Abies magnifica A. Murr.) from each of three parent materials, granite (GR), basalt (BS), and andesite (AN) in the Sierra Nevada of California. Field soils were incubated at their mean annual soil temperature (MAST), with addition of native ¹³C‐labeled litter to characterize soil C mineralization under native climate conditions. Further, we incubated WF soils at PP MAST with ¹³C‐labeled PP litter, and RF soils at WF MAST with ¹³C‐labeled WF litter to simulate a migration of MAST and litter type, and associated change in litter quality, up‐elevation in response to predicted climate warming. Results indicated that total CO₂ and percent of CO₂ derived from soil C varied significantly by parent material, following the pattern of GR>BS>AN. Regression analyses indicated interactive control of C mineralization by litter type and soil minerals. Soils with high short‐range‐order (SRO) mineral content exhibited little response to varying litter type, whereas PP litter enriched in acid‐soluble components promoted a substantial increase of extant soil C mineralization in soils of low SRO mineral content. Climate change conditions increased soil C mineralization greater than 200% in WF forest soils. In contrast, little to no change in soil C mineralization was noted for the RF forest soils, suggesting an ecosystem‐specific climate change response. The climate change response varied by parent material, where AN soils exhibited minimal change and GR and BS soils mineralized substantially greater soil C. This study corroborates the varied response in soil C mineralization by parent material and highlights how the soil mineral assemblage and litter type may interact to control conifer forest soil C response to climate change.     

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。     

土地利用变化对土壤有机碳贮量的影响

通过对比分析六盘山林区典型天然次生林(杂灌林、山杨和辽东栎林)与农田、草地及农田、草地与人工林(13、18和25年生华北落叶松)邻近样地土壤有机碳含量和密度及其在土壤剖面上分布的差异,研究了天然次生林变成农田或草地及农田或草地造林后对土壤有机碳贮量的影响,结果表明,土壤有机碳含量方面,农田和草地比天然次生林分别低54％和27％,差异主要在0～50cm土层;农田和草地比人工林分别低42％和26％,差异主要在0～40cm土层,土壤有机碳密度方面,农田和草地比天然次生林分别低35％和14％,差异主要在0～50cm土层;农田比人工林低23％,草地比人工林高4％,差异主要在0～30cm土层．天然次生林和人工林土壤有机碳含量和密度随土层加深而递减的幅度比农田或草地大．这些差异主要由土地利用变化引起的土壤有机碳输入与输出及根系分布的变化所致．结果说明六盘山林区天然次生林破坏变成草地或农田后土壤有机碳含量和密度(主要是0～50cm土层)将下降,而农田中造林后土壤有机碳含量和密度(主要是0～30cm土层)又将增加,草地上造林后土壤有机碳含量增加而密度变化不大。另外,土壤有机碳含量和密度在土壤剖面上的分布也将随土地利用变化而发生改变。     

青海省森林土壤有机碳氮储量及其垂直分布特征

森林土壤在调节森林生态系统碳、氮循环和减缓全球气候变化中起着关键的作用。但是,由于林型、林龄以及环境因子(海拔)的差异,至今对于森林土壤碳、氮储量的估算依然存在极大的不确定性。因此,利用森林土壤实测数据估算了青海森林土壤有机碳、氮密度和碳、氮储量,分析了土壤有机碳、氮密度的垂直分布格局。结果表明:1)土壤有机碳密度随海拔的增加呈单峰曲线变化,在海拔3100—3400 m达到最大34.33 kg/m~2;氮密度随海拔的增加而增加,范围为1.39—2.93 kg/m~2。2)在0—30 cm土层,土壤有机碳、氮密度均随土层的增加而降低,范围分别为3.84—4.63 kg/m~2、0.22—0.27 kg/m~2。3)青海省森林土壤碳储量为1098.70 Tg,氮储量为61.78 Tg。4)海拔与氮含量和密度之间存在极显著正相关关系(P0.01,P0.01)。土层深度与有机碳含量存在极显著负相关关系(P0.01);与有机碳密度、氮密度存在极显著正相关关系(P0.01,P0.01)。说明海拔和土层是影响青海省森林土壤有机碳、氮分布的关键因子。     

Linkages between phosphorus transformations and carbon decomposition in a forest soil

Phosphorus mineralization is chemically coupled with organic matter (OM) decomposition in surface horizons of a mixed-conifer forest soil from the Sierra Nevada, California, and is also affected by the disturbance caused by forest harvesting. Solution¹³C nuclear magnetic resonance (NMR) spectroscopy of NaOH extracts revealed a decrease of O-alkyl and alkyl-C fractions with increasing degree of decomposition and depth in the soil profile, while carbonyl and aromatic C increased. Solid-state¹³C-NMR analysis of whole soil samples showed similar trends, except that alkyl C increased with depth. Solution³¹P-NMR indicated that inorganic P (P₁) increased with increasing depth, while organic-P (P_o) fractions decreased. Close relationships between P mineralization and litter decomposition were suggested by correlations between P₁ and C fractions (r = 0.82, 0.81, –0.87, and –0.76 for carbonyl, aromatic, alkyl and O-alkyl fractions, respectively). Correlations for diester-P and pyrophosphate with O-alkyl (r = 0.63 and 0.84) and inverse correlations with aromatics (r = –0.74 and –0.72) suggest that mineralization of these P fractions coincides with availability of C substrate. A correlation between monoester P and alkyl C (r = 0.63) suggests mineralization is linked to breakdown of structural components of the plant litter. NMR analyses, combined with Hedley-P fractionation, suggest that post-harvest buildup of labile P in decomposed litter increases the potential for leaching of P during the first post-harvest season, but also indicates reduced biological activity that transports P from litter to the mineral soil. Thus, P is temporarily stored in decomposed litter, preventing its fixation by mineral oxides. In the mineral horizons,³¹P-NMR provides evidence of decline in biologically-available P during the first post-harvest season.     

Late Quaternary climate change explains soil fungal community composition rather than fungal richness in forest ecosystems

The dramatic climate fluctuations of the late Quaternary have influenced the diversity and composition of macroorganism communities, but how they structure belowground microbial communities is less well known. Fungi constitute an important component of soil microorganism communities. They play an important role in biodiversity maintenance, community assembly, and ecosystem functioning, and differ from many macroorganisms in many traits. Here, we examined soil fungal communities in Chinese temperate, subtropical, and tropic forests using Illumina MiSeq sequencing of the fungal ITS1 region. The relative effect of late Quaternary climate change and contemporary environment (plant, soil, current climate, and geographic distance) on the soil fungal community was analyzed. The richness of the total fungal community, along with saprotrophic, ectomycorrhizal (EM), and pathogenic fungal communities, was influenced primarily by the contemporary environment (plant and/or soil) but not by late Quaternary climate change. Late Quaternary climate change acted in concert with the contemporary environment to shape total, saprotrophic, EM, and pathogenic fungal community compositions and with a stronger effect in temperate forest than in tropic–subtropical forest ecosystems. Some contemporary environmental factors influencing total, saprotrophic, EM, and pathogenic fungal communities in temperate and tropic–subtropical forests were different. We demonstrate that late Quaternary climate change can help to explain current soil fungal community composition and argue that climatic legacies can help to predict soil fungal responses to climate change.     

China's wetland soil organic carbon pool: New estimation on pool size,change, and trajectory

Robust estimates of wetland soil organic carbon (SOC) pools are critical to understanding wetland carbon dynamics in the global carbon cycle. However, previous estimates were highly variable and uncertain, due likely to the data sources and method used. Here we used machine learning method to estimate SOC storage and their changes over time in China's wetlands based on wetland SOC density database, associated geospatial environmental data, and recently published wetland maps. We built a database of wetland SOC density in China that contains 809 samples from 181 published studies collected over the last 20 years as presented in the published literature. All samples were extended and standardized to a 1-m depth, on the basis of the relationship between SOC density data from soil profiles of different depths. We used three different machine learning methods to evaluate their robustness in estimating wetland SOC storage and changes in China. The results indicated that random forest model achieved accurate wetland SOC estimation with R² being .65. The results showed that average SOC density of top 1 m in China's wetlands was 25.03 ± 3.11 kg C m⁻² in 2000 and 26.57 ± 3.73 kg C m⁻² in 2020, an increase of 6.15%. SOC storage change from 4.73 ± 0.58 Pg in 2000 to 4.35 ± 0.61 Pg in 2020, a decrease of 8.03%, due to 13.6% decreased in wetland area from 189.12 × 10³ to 162.8 × 10³ km² in 2020, despite the increase in SOC density during the same time period. The carbon accumulation rate was 107.5 ± 12.4 g C m⁻² year⁻¹ since 2000 in wetlands with no area changes. Climate change caused variations in wetland SOC density, and a future warming and drying climate would lead to decreases in wetland SOC storage. Estimates under Shared Socioeconomic Pathway 1-2.6 (low-carbon emissions) suggested that wetland SOC storage in China would not change significantly by 2100, but under Shared Socioeconomic Pathway 5-8.5 (high-carbon emissions), it would decrease significantly by approximately 5.77%. In this study, estimates of wetland SOC storage were optimized from three aspects, including sample database, wetland extent, and estimation method. Our study indicates the importance of using consistent SOC density and extent data in estimating and projecting wetland SOC storage.     

Changes in soil carbon with stand age – an evaluation of a modelling method with empirical data

Forest soils store a substantial amount of carbon, often more than the forest vegetation does. Estimates of the amount of soil carbon, and in particular estimates of changes in these amounts are still inaccurate. Measuring soil carbon is laborious, and measurements taken at a few statistically unrepresentative sites are difficult to scale to larger areas. We combined a simple dynamic model of soil carbon with litter production estimated on the basis of stand parameters, models of tree allometry and biomass turnover rates of different biomass components. This integrated method was used to simulate soil carbon as forest stands develop. The results were compared with measurements of soil carbon from 64 forest sites in southern Finland. Measured carbon stocks in the organic soil layer increased by an average of 4.7±1.4 g m^?2 a^?1 with increasing stand age and no significant changes were measured in the amount of carbon in mineral soil. Our integrated method indicated that soil carbon stocks declined to a minimum 20 years after clear‐cutting and the subsequent increase in the soil carbon stock (F/H ? 1 m) was 5.8±1.0 g m^?2 a^?1 averaged over the period to next harvesting (～125 years). Simulated soil carbon accumulation slowed down considerably in stands older than 50 years. The carbon stock measured (F/H ? 1 m) for the study area averaged 6.8±2.5 kg m^?2. The simulated carbon stock in soil was 7.0±0.6 kg m^?2 on average. These tests of the validity of the integrated model suggest that this method is suitable for estimating the amount of carbon in soil and its changes on regional scales.     

氮沉降对森林生态系统土壤碳库的影响

森林土壤碳库是陆地生态系统碳库的重要组成部分,对维持全球碳平衡具有重要意义。不断加剧的全球氮沉降有可能改变森林生态系统中碳元素的地球化学循环过程,从而引起森林土壤碳储量的变化。本文从森林土壤碳收支的角度,将氮沉降对森林生态系统土壤碳库影响的复杂过程划分为凋落物分解、细根周转、土壤呼吸和土壤可溶性有机碳淋失4个相对独立的过程。综合国内外研究现状,对其进行了简要评述,指出了目前研究的不足,并探讨了这一研究领域的发展方向。     

Seasonal changes in the contribution of root respiration to total soil respiration in a cool-temperate deciduous forest

A trenching method was used to determine the contribution of root respiration to soil respiration. Soil respiration rates in a trenched plot (R _trench) and in a control plot (R _control) were measured from May 2000 to September 2001 by using an open-flow gas exchange system with an infrared gas analyser. The decomposition rate of dead roots (R _D) was estimated by using a root-bag method to correct the soil respiration measured from the trenched plots for the additional decaying root biomass. The soil respiration rates in the control plot increased from May (240–320 mg CO₂ m^–2 h^–1) to August (840–1150 mg CO₂ m^–2 h^–1) and then decreased during autumn (200–650 mg CO₂ m^–2 h^–1). The soil respiration rates in the trenched plot showed a similar pattern of seasonal change, but the rates were lower than in the control plot except during the 2 months following the trenching. Root respiration rate (R _r) and heterotrophic respiration rate (R _h) were estimated from R _control, R _trench, and R _D. We estimated that the contribution of R _r to total soil respiration in the growing season ranged from 27 to 71%. There was a significant relationship between R _h and soil temperature, whereas R _r had no significant correlation with soil temperature. The results suggest that the factors controlling the seasonal change of respiration differ between the two components of soil respiration, R _r and R _h.     

喀斯特森林常见树种倒木分解对土壤真菌群落组成及分布规律的影响

倒木是森林生态系统的重要组分,其分解调控着土壤的养分循环,同时也影响着土壤微生物群落结构。但目前鲜见关于倒木分解对土壤微生物群落影响方面的报道。选取贵州茂兰喀斯特常绿落叶阔叶混交林中处于轻、中和重度腐烂等级的狭叶润楠（Machilus rehderi）、枫香（Liquidambar formosana）、青冈栎（Cyclobalanopsis glauca）和圆果化香（Platycarya longipes）4种常见树种倒木为研究对象,以距倒木外围的3个不同水平距离（10cm、30cm和50cm）的土壤样品为实验材料,分析倒木树种、腐烂等级和距离对土壤真菌种类及多样性的影响。结果表明：1）喀斯特森林4种树种倒木所影响土壤真菌群落在门级分类上主要为子囊菌门、担子菌门和毛霉门,优势属有Mortierella spp.、Phlebia spp.、Pluteus spp.和Chaetomium spp.等;2）倒木的树种对土壤真菌群落相对丰度的影响有差异,圆果化香倒木下的土壤真菌丰富度Chao1指数显著高于青冈栎;3）随腐烂程度加深,4种树种倒木下的土壤真菌群落多样性呈显著增加趋势;4）土壤真菌群落丰度随着距倒木距离的增大（10-50cm）变化明显,如狭叶润楠影响的Pluteus spp.、Mortierella spp.和Ganoderma spp.,枫香的Chaetomium spp.,圆果化香的Mortierella spp.和青冈栎的Phlebia spp.和Oliveonia spp.等。本研究量化了喀斯特森林倒木所影响的土壤真菌群落组成及分布规律,在一定程度上为倒木分解与土壤微生物群落之间的作用机制的深入探索提供了科学依据。     

Climate change cannot be entirely responsible for soil carbon loss observed in England and Wales, 1978–2003

We present results from modelling studies, which suggest that, at most, only about 10–20% of recently observed soil carbon losses in England and Wales could possibly be attributable to climate warming. Further, we present reasons why the actual losses of SOC from organic soils in England and Wales might be lower than those reported.     

暖温带森林土壤微生物量、群落结构和活性对植物地下碳源的响应

该研究以典型的亚热带—温带过渡区森林为对象,采用野外过程监测和控制试验相结合的方法,利用磷脂脂肪酸和土壤胞外酶活性分别表征土壤微生物群落结构和活性,并结合微环境因子,重点探究土壤微生物生物量、群落结构和活性对植物地下碳输入的响应特征。结果表明：在观测周期内,处理均能显著降低三组年龄段林分的土壤微生物量碳,其变化幅度在－8.72％~－5.72％之间,其中在80年的林分中降幅最大,而在160年的林分中降幅最小;微生物量氮的变化规律与相应的微生物量碳的变化规律相似,但与对照相比其差异性均未达到显著性水平;另外,经壕沟处理2~4个月后,所有林分的土壤微生物量碳和氮与对照相比出现增加的现象。处理均能对三组年龄段林分的土壤微生物群落结构产生不同程度的影响,其中40年林分的土壤微生物群落对处理的响应程度要高于另外两个年龄段的林分;与对照相比,壕沟处理样方的腐生真菌的相对丰富度均下降明显,其中在40年和80年林分中的下降幅度达到显著水平,而细菌、放线菌和丛枝菌根真菌均无明显变化;壕沟处理样方的水解酶(β-葡萄糖苷酶和N-乙酰-葡萄糖苷酶)活性均显著下降,而氧化酶(酚氧化酶和过氧化物酶)活性的变化相对较小,除80年的林分外,其余林分均不显著。此外,处理均不能显著影响土壤的含水量和温度。该研究结果为初步阐明全球气候变化背景下森林土壤微生物结构及其功能的变化特征以及更加精确预测未来森林土壤碳的变化趋势提供了科学依据。     

土壤细菌呼吸对西双版纳热带森林恢复的响应

揭示不同恢复阶段热带森林土壤细菌呼吸季节变化及其主控因素,对于探明土壤细菌呼吸对热带森林恢复的响应机制具有重要的科学意义。以西双版纳不同恢复阶段热带森林(白背桐群落、崖豆藤群落和高檐蒲桃群落)为研究对象,运用真菌呼吸抑制法及高通量宏基因组测序技术分别测定土壤细菌呼吸速率和细菌多样性,并采用回归分析及结构方程模型揭示热带森林恢复过程中土壤细菌多样性、pH、土壤碳氮组分变化对土壤细菌呼吸速率的影响特征。结果表明：1)不同恢复阶段热带森林土壤细菌呼吸速率表现为：高檐蒲桃群落((1.51±0.62)CO₂ mg g^-1 h^-1)显著高于崖豆藤群落((1.16±0.56)CO₂ mg g^-1 h^-1)和白背桐群落((0.82±0.60)CO₂ mg g^-1 h^-1)(P<0.05)。2)不同恢复阶段土壤细菌呼吸速率呈显著的单峰型季节变化(P<0.05),最大值均出现在9月：高檐蒲桃群落((...     

黄土丘陵区不同土地利用方式下土壤水分变化特征

选择黄土丘陵区砖窑沟流域不同土地利用方式为研究对象,在2016年6月至11月对0—300 cm土层土壤含水量进行监测,分析刺槐林、草地、柠条灌木林、小叶杨林、海红林和撂荒地6种土地利用方式下土壤含水量的垂直剖面分布特征、土壤贮水量的季节变异特征。结果表明:(1)土壤含水量随深度的变化自上而下均呈"S"状分布,随着土层深度的增加,土壤含水量呈先增加后减小的趋势,具有明显的垂直变异特征。(2)不同土地利用方式具有不同的土壤湿度剖面,土壤水分活跃层、次活跃层、相对稳定层的深度范围不同。(3)6种土地利用方式下各土层的土壤贮水量均具有明显的季节变化特征,海红林的土壤贮水量最大,为258.21 mm,然后依次为小叶杨林、撂荒地、草地和刺槐林,柠条灌木林样地最小;监测期内土壤贮水量随时间呈增长趋势,在11月达到最大值。土壤含水量的变异系数均随着土层深度的增加逐渐递减,在100 cm以下土壤深层季节变异趋于稳定。研究认为,乔灌林消耗更多深层的土壤水分,柠条灌木林易引起土壤干燥化,海红林的土壤水分条件较好,撂荒地和草地土壤水分条件相对稳定。     

福州市森林碳储量定量估算及其对土地利用变化的响应

基于RS与GIS技术,以遥感影像数据、土地利用数据、森林资源二类调查数据为主要数据源,采用逐步回归法建立森林蓄积量定量估测模型。根据"蓄积量-生物量-碳储量"推算方法,对福州市森林植被碳储量和碳密度进行估算。建立福州市土地利用转移矩阵,分析2000—2010年土地利用变化影响下的福州市森林碳储量变化特征。结果表明:(1)根据不同的森林类型,即常绿阔叶林、常绿针叶林、针阔混交林分别建立的多元线性回归模型修正决定系数分别为0.599、0.679、0.694,通过模型适用性检验和精度验证。(2)2000年、2010年福州市森林植被碳储量总量分别为12.499Tg、12.642Tg,植被碳密度分别为18.694、18.708 t/hm~2,森林植被碳储量增加了1.430×10~5t。(3)福州市闽清县、永泰县、闽侯县的森林植被碳密度常年保持较高水平,并呈现出增长趋势;罗源县、长乐市、连江县森林植被碳密度较低,并呈现下降趋势。(4)2000—2010年,灌木和耕地是主要土地利用类型转出者,森林和建设用地是主要土地利用类型转入者。森林主要由灌木和耕地转化,主要向建设用地、耕地进行转化。由于土地利用变化,10年间福州市总碳储量减少了1.711×10~4t,其中土壤碳储量减少2.230×10~3t,植被碳储量减少1.489×10~4t。     

Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change

We can effectively monitor soil condition—and develop sound policies to offset the emissions of greenhouse gases—only with accurate data from which to define baselines. Currently, estimates of soil organic C for countries or continents are either unavailable or largely uncertain because they are derived from sparse data, with large gaps over many areas of the Earth. Here, we derive spatially explicit estimates, and their uncertainty, of the distribution and stock of organic C in the soil of Australia. We assembled and harmonized data from several sources to produce the most comprehensive set of data on the current stock of organic C in soil of the continent. Using them, we have produced a fine spatial resolution baseline map of organic C at the continental scale. We describe how we made it by combining the bootstrap, a decision tree with piecewise regression on environmental variables and geostatistical modelling of residuals. Values of stock were predicted at the nodes of a 3‐arc‐sec (approximately 90 m) grid and mapped together with their uncertainties. We then calculated baselines of soil organic C storage over the whole of Australia, its states and territories, and regions that define bioclimatic zones, vegetation classes and land use. The average amount of organic C in Australian topsoil is estimated to be 29.7 t ha^?1 with 95% confidence limits of 22.6 and 37.9 t ha^?1. The total stock of organic C in the 0–30 cm layer of soil for the continent is 24.97 Gt with 95% confidence limits of 19.04 and 31.83 Gt. This represents approximately 3.5% of the total stock in the upper 30 cm of soil worldwide. Australia occupies 5.2% of the global land area, so the total organic C stock of Australian soil makes an important contribution to the global carbon cycle, and it provides a significant potential for sequestration. As the most reliable approximation of the stock of organic C in Australian soil in 2010, our estimates have important applications. They could support Australia's National Carbon Accounting System, help guide the formulation of policy around carbon offset schemes, improve Australia's carbon balances, serve to direct future sampling for inventory, guide the design of monitoring networks and provide a benchmark against which to assess the impact of changes in land cover, land management and climate on the stock of C in Australia. In this way, these estimates would help us to develop strategies to adapt and mitigate the effects of climate change.     

中国森林土壤碳储量与土壤碳过程研究进展

森林是陆地生态系统的主体,是陆地上最大的碳储库和碳吸收汇。国内外研究表明,土壤亚系统在调节森林生态系统碳循环和减缓全球气候变化中起着重要作用。但是,由于森林类型的多样性、结构的复杂性以及森林对干扰和变化环境响应的时空动态变化,至今对森林土壤碳储量和变率的科学估算,以及土壤关键碳过程及其稳定性维持机制的认识还十分有限。综述了近十几年来我国森林土壤碳储量和土壤碳过程的研究工作,主要包括不同森林类型土壤碳储量、土壤碳化学稳定性、土壤呼吸及其组分、土壤呼吸影响机制、气候变化与土地利用对土壤碳过程的影响等;评述了土壤碳过程相关科学问题的研究进展,讨论了尚未解决的主要问题,并分析了未来土壤碳研究的发展趋势,以期为促进我国森林土壤碳循环研究,科学评价森林土壤碳固持潜力及其稳定性维持机制和有效实施森林生态系统管理提供科学参考。