Unexpected stimulation of soil methane uptake as emergent property of agricultural soils following bio‐based residue application

Intensification of agriculture to meet the global food, feed, and bioenergy demand entail increasing re‐investment of carbon compounds (residues) into agro‐systems to prevent decline of soil quality and fertility. However, agricultural intensification decreases soil methane uptake, reducing, and even causing the loss of the methane sink function. In contrast to wetland agricultural soils (rice paddies), the methanotrophic potential in well‐aerated agricultural soils have received little attention, presumably due to the anticipated low or negligible methane uptake capacity in these soils. Consequently, a detailed study verifying or refuting this assumption is still lacking. Exemplifying a typical agricultural practice, we determined the impact of bio‐based residue application on soil methane flux, and determined the methanotrophic potential, including a qualitative (diagnostic microarray) and quantitative (group‐specific qPCR assays) analysis of the methanotrophic community after residue amendments over 2 months. Unexpectedly, after amendments with specific residues, we detected a significant transient stimulation of methane uptake confirmed by both the methane flux measurements and methane oxidation assay. This stimulation was apparently a result of induced cell‐specific activity, rather than growth of the methanotroph population. Although transient, the heightened methane uptake offsets up to 16% of total gaseous CO₂ emitted during the incubation. The methanotrophic community, predominantly comprised of Methylosinus may facilitate methane oxidation in the agricultural soils. While agricultural soils are generally regarded as a net methane source or a relatively weak methane sink, our results show that methane oxidation rate can be stimulated, leading to higher soil methane uptake. Hence, even if agriculture exerts an adverse impact on soil methane uptake, implementing carefully designed management strategies (e.g. repeated application of specific residues) may compensate for the loss of the methane sink function following land‐use change.     

中国稻纵卷叶螟发生特点及北迁的大气背景

稻纵卷叶螟因其发生面积大、暴发频率高、致害程度重而成为我国水稻生产上的重要害虫。为了阐明大气背景对其北迁重大过程的影响,利用2000—2012年中国稻纵卷叶螟灯诱数据分析了我国水稻主产区稻纵卷叶螟迁入的主要特征;选取2007年7月下旬的一次重大北迁过程作为典型个例,运用中尺度天气研究和预报模式WRF,结合NCEP气象再分析资料,模拟了这一过程的大气背景,推算了稻纵卷叶螟的迁飞轨迹,并分析了大气背景对稻纵卷叶螟灾变性迁入的影响。研究表明:(1)这13年中,我国稻纵卷叶螟的迁入大多在3月初始见,3—8月为北迁期,从南到北先后在华南、西南、江岭、江淮稻区出现迁入峰;9—11月为南迁期,从北到南先后迁入江淮、江岭、华南稻区并出现相应的迁入峰,10月底至11月初为终见期。(2)北迁个例中各站逆推轨迹分析显示:包括再迁飞在内的不同时段虫源地基本上位于降虫区的西南方,迁飞高度都变化于550—850 m之间,但在沿海地区降落的稻纵卷叶螟迁飞轨迹是复杂的。(3)水平气流是稻纵卷叶螟远距离北迁的主要运载动力,925 h Pa上南方稻区一致的偏南气流对稻纵卷叶螟北迁极为有利;三维流场的起伏、特别是垂直气流的强弱变化对迁飞高度的变化起重要的作用。(4)下沉气流和降水是稻纵卷叶螟降落的关键动力因素,两者都对降虫有明显影响。(5)在这一北迁过程中,稻纵卷叶螟种群多降落在相对湿度大的区域,降虫区的相对湿度均在75%以上。     

A new positive relationship between pCO2 and stomatal frequency in Quercus guyavifolia (Fagaceae): a potential proxy for palaeo-CO2 levels

Background and Aims The inverse relationship between atmospheric CO₂ partial pressure (pCO₂) and stomatal frequency in many species of plants has been widely used to estimate palaeoatmospheric CO₂ (palaeo-CO₂) levels; however, the results obtained have been quite variable. This study attempts to find a potential new proxy for palaeo-CO₂ levels by analysing stomatal frequency in Quercus guyavifolia (Q. guajavifolia, Fagaceae), an extant dominant species of sclerophyllous forests in the Himalayas with abundant fossil relatives.Methods Stomatal frequency was analysed for extant samples of Q. guyavifolia collected from17 field sites at altitudes ranging between 2493 and 4497 m. Herbarium specimens collected between 1926 and 2011 were also examined. Correlations of pCO₂–stomatal frequency were determined using samples from both sources, and these were then applied to Q. preguyavaefolia fossils in order to estimate palaeo-CO₂ concentrations for two late-Pliocene floras in south-western China.Key Results In contrast to the negative correlations detected for most other species that have been studied, a positive correlation between pCO₂ and stomatal frequency was determined in Q. guyavifolia sampled from both extant field collections and historical herbarium specimens. Palaeo-CO₂ concentrations were estimated to be approx. 180–240 ppm in the late Pliocene, which is consistent with most other previous estimates.Conclusions A new positive relationship between pCO₂ and stomatal frequency in Q. guyavifolia is presented, which can be applied to the fossils closely related to this species that are widely distributed in the late-Cenozoic strata in order to estimate palaeo-CO₂ concentrations. The results show that it is valid to use a positive relationship to estimate palaeo-CO₂ concentrations, and the study adds to the variety of stomatal density/index relationships that available for estimating pCO₂. The physiological mechanisms underlying this positive response are unclear, however, and require further research.     

亚高山林线优势种形态结构和竞争力对CO2浓度和温度升高的响应

利用封顶式生长室模拟未来变化的气候条件,研究了亚高山林线优势物种岷江冷杉(Abies faxoniana)和4种草本植物形态与竞争指标对CO2浓度和温度升高的响应.结果表明:处理2个生长季后,高CO2浓度条件下,岷江冷杉冠体积增加42％,比叶面积、比冠体积和比根长分别增加17％、65％和19％;温度升高使岷江冷杉冠形更纵向生长,冠体积增加22％,根冠比和比根长均比对照增加17％;二者同时升高使岷江冷杉冠体积增加79％,比叶面积、比冠体积和比根长分别增加17％、197％和18％.CO2浓度升高处理下糙野青茅(Deyeuxia scabrescen)的株高、基茎和每株叶片数增加,但比叶面积降低;甘肃苔草(Carexkansuensis)、东方草莓(Fragaria orientali)和紫花碎米荠(Cardamine tangutorum)的各项指标变化与青茅相反.温度升高下青茅、苔草、草莓株高、基茎和根冠比下降.二者同时升高条件下4种草本植物的基茎和每株叶片数增加,但比叶面积和根冠比降低.这表明,在CO2浓度和温度升高处理下,岷江冷杉形成有利于生长的冠层结构且单位质量的竞争力增加,而4种草本植物的形态结构和竞争力均受到不同程度的负面影响.     

Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO2 measurements from 1999 to 2017

Understanding changes in terrestrial carbon balance is important to improve our knowledge of the regional carbon cycle and climate change. However, evaluating regional changes in the terrestrial carbon balance is challenging due to the lack of surface flux measurements. This study reveals that the terrestrial carbon uptake over the Republic of Korea has been enhanced from 1999 to 2017 by analyzing long‐term atmospheric CO₂ concentration measurements at the Anmyeondo Station (36.53°N, 126.32°E) located in the western coast. The influence of terrestrial carbon flux on atmospheric CO₂ concentrations (ΔCO₂) is estimated from the difference of CO₂ concentrations that were influenced by the land sector (through easterly winds) and the Yellow Sea sector (through westerly winds). We find a significant trend in ΔCO₂ of ?4.75 ppm per decade (p < .05) during the vegetation growing season (May through October), suggesting that the regional terrestrial carbon uptake has increased relative to the surrounding ocean areas. Combined analysis with satellite measured normalized difference vegetation index and gross primary production shows that the enhanced carbon uptake is associated with significant nationwide increases in vegetation and its production. Process‐based terrestrial model and inverse model simulations estimate that regional terrestrial carbon uptake increases by up to 18.9 and 8.0 Tg C for the study period, accounting for 13.4% and 5.7% of the average annual domestic carbon emissions, respectively. Atmospheric chemical transport model simulations indicate that the enhanced terrestrial carbon sink is the primary reason for the observed ΔCO₂ trend rather than anthropogenic emissions and atmospheric circulation changes. Our results highlight the fact that atmospheric CO₂ measurements could open up the possibility of detecting regional changes in the terrestrial carbon cycle even where anthropogenic emissions are not negligible.     

Sierra Nevada mountain lake microbial communities are structured by temperature,resources and geographic location

Warming, eutrophication (nutrient fertilization) and brownification (increased loading of allochthonous organic matter) are three global trends impacting lake ecosystems. However, the independent and synergistic effects of resource addition and warming on autotrophic and heterotrophic microorganisms are largely unknown. In this study, we investigate the independent and interactive effects of temperature, dissolved organic carbon (DOC, both allochthonous and autochthonous) and nitrogen (N) supply, in addition to the effect of spatial variables, on the composition, richness, and evenness of prokaryotic and eukaryotic microbial communities in lakes across elevation and N deposition gradients in the Sierra Nevada mountains of California, USA. We found that both prokaryotic and eukaryotic communities are structured by temperature, terrestrial (allochthonous) DOC and latitude. Prokaryotic communities are also influenced by total and aquatic (autochthonous) DOC, while eukaryotic communities are also structured by nitrate. Additionally, increasing N availability was associated with reduced richness of prokaryotic communities, and both lower richness and evenness of eukaryotes. We did not detect any synergistic or antagonistic effects as there were no interactions among temperature and resource variables. Together, our results suggest that (a) organic and inorganic resources, temperature, and geographic location (based on latitude and longitude) independently influence lake microbial communities; and (b) increasing N supply due to atmospheric N deposition may reduce richness of both prokaryotic and eukaryotic microbes, probably by reducing niche dimensionality. Our study provides insight into abiotic processes structuring microbial communities across environmental gradients and their potential roles in material and energy fluxes within and between ecosystems.     

大气硝酸盐氧同位素异常及应用进展

近年来人为活动导致的大气硝酸盐不断增加,危害人体健康和生态环境。厘清大气硝酸盐的来源及形成机理至关重要。多氧稳定同位素技术是一种强有力的示踪手段,能够有效指示大气硝酸盐生成的氧化路径,在气溶胶、水体、土壤、森林、古气候研究中得到了广泛应用。本文总结了大气硝酸盐氧同位素异常(Δ17O)的测定方法(热裂解法、反硝化细菌法、化学法),探讨了Δ17O的产生原因,并围绕硝酸盐的形成过程阐明硝酸盐Δ17O的示踪机制,综述了Δ17O在大气化学反应机制研究中的应用。在此基础上,本文提出目前Δ17O研究的不足并对未来需要开展的研究进行了展望。     

Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models

With representation of the global carbon cycle becoming increasingly complex in climate models, it is important to develop ways to quantitatively evaluate model performance against in situ and remote sensing observations. Here we present a systematic framework, the Carbon‐LAnd Model Intercomparison Project (C‐LAMP), for assessing terrestrial biogeochemistry models coupled to climate models using observations that span a wide range of temporal and spatial scales. As an example of the value of such comparisons, we used this framework to evaluate two biogeochemistry models that are integrated within the Community Climate System Model (CCSM) – Carnegie‐Ames‐Stanford Approach′ (CASA′) and carbon–nitrogen (CN). Both models underestimated the magnitude of net carbon uptake during the growing season in temperate and boreal forest ecosystems, based on comparison with atmospheric CO₂ measurements and eddy covariance measurements of net ecosystem exchange. Comparison with MODerate Resolution Imaging Spectroradiometer (MODIS) measurements show that this low bias in model fluxes was caused, at least in part, by 1–3 month delays in the timing of maximum leaf area. In the tropics, the models overestimated carbon storage in woody biomass based on comparison with datasets from the Amazon. Reducing this model bias will probably weaken the sensitivity of terrestrial carbon fluxes to both atmospheric CO₂ and climate. Global carbon sinks during the 1990s differed by a factor of two (2.4 Pg C yr^?1 for CASA′ vs. 1.2 Pg C yr^?1 for CN), with fluxes from both models compatible with the atmospheric budget given uncertainties in other terms. The models captured some of the timing of interannual global terrestrial carbon exchange during 1988–2004 based on comparison with atmospheric inversion results from TRANSCOM (r=0.66 for CASA′ and r=0.73 for CN). Adding (CASA′) or improving (CN) the representation of deforestation fires may further increase agreement with the atmospheric record. Information from C‐LAMP has enhanced model performance within CCSM and serves as a benchmark for future development. We propose that an open source, community‐wide platform for model‐data intercomparison is needed to speed model development and to strengthen ties between modeling and measurement communities. Important next steps include the design and analysis of land use change simulations (in both uncoupled and coupled modes), and the entrainment of additional ecological and earth system observations. Model results from C‐LAMP are publicly available on the Earth System Grid.     

中国陆地生态系统碳源/汇整合分析

国家尺度陆地生态系统碳收支及其循环过程的研究对于提升地球系统科学与全球变化科学的科技创新能力、提高我国参与应对全球气候变化国际行动和维护国家利益的话语权、保障国家生态安全和改进生态系统管理都具有重要意义。近年来,我国已经在气候变化与陆地生态系统碳循环领域开展了大量的研究工作,主要包括国家清查、生态系统模型模拟、大气反演等手段。然而,由于大尺度陆地生态系统碳源/汇的估算存在很大的不确定性,目前尚未形成国家尺度的陆地生态系统碳源/汇的整合分析。通过搜集已发表的关于中国陆地生态系统及其组分碳源/汇的59篇文献,整合国家清查、生态系统模型模拟、大气反演3种研究手段,分析中国陆地生态系统碳源/汇大小以及时间尺度上的动态变化。结果表明,在1960s-2010s期间中国陆地生态系统碳汇整体呈上升趋势,平均为（0.213±0.030）Pg C/a,其中森林、草地、农田和灌木生态系统碳汇分别为（0.101±0.023）Pg C/a、（0.032±0.007）Pg C/a、（0.043±0.010）Pg C/a和（0.028±0.010）Pg C/a。森林生态系统中的植被碳汇远大于土壤碳汇,然而这种格局在草地和农田生态系统却相反,而且1960s-2010s期间中国主要植被类型的生态系统碳汇总体上随时间呈增加趋势。融合多源数据（地面观测、激光雷达、卫星遥感等）、多尺度数据（样地尺度、站点尺度、区域尺度）以及多手段数据（联网观测、森林清查、模型模拟）,有助于全面准确地评估中国陆地生态系统碳源/汇及其对气候变化的响应。     

丹江口水库淅川库区大气氮湿沉降特征

大气氮沉降是除河流输入外水库水体重要的外源氮输入途径。以丹江口水库淅川库区为研究区,于2018年11月至2019年10月在库区周边设置了6个采样点,采集并分析了库区大气氮湿沉降样品,探讨氮湿沉降的时空分布特征以及对水库水体外源氮输入的贡献。研究结果表明,研究区大气氮湿沉降量为24.21 kg hm^-2 a^-1,其中氨氮占比（47.45％）为最大,有机氮占比（36.34％）次之,硝氮占比（16.21％）最小。硝氮湿沉降量在空间上表现出显著差异性。氨氮、有机氮湿沉降量的季节差异显著,氨氮是以夏季最高,秋季次之,冬季最低,而有机氮是以秋季最高,夏季次之,冬季最低。氨氮、硝氮、有机氮湿沉降量之间存在显著相关性,氨氮、有机氮湿沉降量与降水量之间存在显著相关性。总氮、氨氮湿沉降量分别为1321.98 t/a和627.34 t/a,分别占河流总氮、氨氮入库量的10.82％、34.85％。研究结果可为探索有针对性的库区水体氮污染控制途径提供重要理论基础。